[2025-03-11 01:05:12,447 INFO train.py line 128 2389709] => Loading config ... [2025-03-11 01:05:12,448 INFO train.py line 130 2389709] Save path: exp/scannet200/semseg-spunet-base-m5-s1 [2025-03-11 01:05:13,709 INFO train.py line 131 2389709] Config: weight = 'exp/scannet/pretrain-gs-v4-spunet-base-m5/model/model_last.pth' resume = False evaluate = True test_only = False seed = 5151584 save_path = 'exp/scannet200/semseg-spunet-base-m5-s1' num_worker = 64 batch_size = 32 batch_size_val = None batch_size_test = None epoch = 800 eval_epoch = 100 clip_grad = None sync_bn = False enable_amp = True empty_cache = False empty_cache_per_epoch = False find_unused_parameters = True mix_prob = 0.8 param_dicts = None hooks = [ dict(type='CheckpointLoader'), dict(type='IterationTimer', warmup_iter=2), dict(type='CustomInformationWriter', interval=50, key='loss'), dict(type='CustomSemSegEvaluator'), dict(type='CheckpointSaver', save_freq=None), dict(type='PreciseEvaluator', test_last=False) ] train = dict(type='DefaultTrainer') test = dict(type='SemSegTester', verbose=True) CLASS_LABELS_200 = ( 'wall', 'chair', 'floor', 'table', 'door', 'couch', 'cabinet', 'shelf', 'desk', 'office chair', 'bed', 'pillow', 'sink', 'picture', 'window', 'toilet', 'bookshelf', 'monitor', 'curtain', 'book', 'armchair', 'coffee table', 'box', 'refrigerator', 'lamp', 'kitchen cabinet', 'towel', 'clothes', 'tv', 'nightstand', 'counter', 'dresser', 'stool', 'cushion', 'plant', 'ceiling', 'bathtub', 'end table', 'dining table', 'keyboard', 'bag', 'backpack', 'toilet paper', 'printer', 'tv stand', 'whiteboard', 'blanket', 'shower curtain', 'trash can', 'closet', 'stairs', 'microwave', 'stove', 'shoe', 'computer tower', 'bottle', 'bin', 'ottoman', 'bench', 'board', 'washing machine', 'mirror', 'copier', 'basket', 'sofa chair', 'file cabinet', 'fan', 'laptop', 'shower', 'paper', 'person', 'paper towel dispenser', 'oven', 'blinds', 'rack', 'plate', 'blackboard', 'piano', 'suitcase', 'rail', 'radiator', 'recycling bin', 'container', 'wardrobe', 'soap dispenser', 'telephone', 'bucket', 'clock', 'stand', 'light', 'laundry basket', 'pipe', 'clothes dryer', 'guitar', 'toilet paper holder', 'seat', 'speaker', 'column', 'bicycle', 'ladder', 'bathroom stall', 'shower wall', 'cup', 'jacket', 'storage bin', 'coffee maker', 'dishwasher', 'paper towel roll', 'machine', 'mat', 'windowsill', 'bar', 'toaster', 'bulletin board', 'ironing board', 'fireplace', 'soap dish', 'kitchen counter', 'doorframe', 'toilet paper dispenser', 'mini fridge', 'fire extinguisher', 'ball', 'hat', 'shower curtain rod', 'water cooler', 'paper cutter', 'tray', 'shower door', 'pillar', 'ledge', 'toaster oven', 'mouse', 'toilet seat cover dispenser', 'furniture', 'cart', 'storage container', 'scale', 'tissue box', 'light switch', 'crate', 'power outlet', 'decoration', 'sign', 'projector', 'closet door', 'vacuum cleaner', 'candle', 'plunger', 'stuffed animal', 'headphones', 'dish rack', 'broom', 'guitar case', 'range hood', 'dustpan', 'hair dryer', 'water bottle', 'handicap bar', 'purse', 'vent', 'shower floor', 'water pitcher', 'mailbox', 'bowl', 'paper bag', 'alarm clock', 'music stand', 'projector screen', 'divider', 'laundry detergent', 'bathroom counter', 'object', 'bathroom vanity', 'closet wall', 'laundry hamper', 'bathroom stall door', 'ceiling light', 'trash bin', 'dumbbell', 'stair rail', 'tube', 'bathroom cabinet', 'cd case', 'closet rod', 'coffee kettle', 'structure', 'shower head', 'keyboard piano', 'case of water bottles', 'coat rack', 'storage organizer', 'folded chair', 'fire alarm', 'power strip', 'calendar', 'poster', 'potted plant', 'luggage', 'mattress') evaluate_interval = [(1, 1), (90, 1)] model = dict( type='DefaultSegmentor', backbone=dict( type='SpUNet-v1m1', in_channels=6, num_classes=200, channels=(32, 64, 128, 256, 256, 128, 96, 96), layers=(2, 3, 4, 6, 2, 2, 2, 2)), criteria=[ dict(type='CrossEntropyLoss', loss_weight=1.0, ignore_index=-1), dict( type='LovaszLoss', mode='multiclass', loss_weight=1.0, ignore_index=-1) ]) optimizer = dict(type='AdamW', lr=0.005, weight_decay=0.05) scheduler = dict( type='OneCycleLR', max_lr=0.005, pct_start=0.05, anneal_strategy='cos', div_factor=10.0, final_div_factor=1000.0) dataset_type = 'ScanNet200Dataset' data_root = 'data/scannet' data = dict( num_classes=200, ignore_index=-1, names=( 'wall', 'chair', 'floor', 'table', 'door', 'couch', 'cabinet', 'shelf', 'desk', 'office chair', 'bed', 'pillow', 'sink', 'picture', 'window', 'toilet', 'bookshelf', 'monitor', 'curtain', 'book', 'armchair', 'coffee table', 'box', 'refrigerator', 'lamp', 'kitchen cabinet', 'towel', 'clothes', 'tv', 'nightstand', 'counter', 'dresser', 'stool', 'cushion', 'plant', 'ceiling', 'bathtub', 'end table', 'dining table', 'keyboard', 'bag', 'backpack', 'toilet paper', 'printer', 'tv stand', 'whiteboard', 'blanket', 'shower curtain', 'trash can', 'closet', 'stairs', 'microwave', 'stove', 'shoe', 'computer tower', 'bottle', 'bin', 'ottoman', 'bench', 'board', 'washing machine', 'mirror', 'copier', 'basket', 'sofa chair', 'file cabinet', 'fan', 'laptop', 'shower', 'paper', 'person', 'paper towel dispenser', 'oven', 'blinds', 'rack', 'plate', 'blackboard', 'piano', 'suitcase', 'rail', 'radiator', 'recycling bin', 'container', 'wardrobe', 'soap dispenser', 'telephone', 'bucket', 'clock', 'stand', 'light', 'laundry basket', 'pipe', 'clothes dryer', 'guitar', 'toilet paper holder', 'seat', 'speaker', 'column', 'bicycle', 'ladder', 'bathroom stall', 'shower wall', 'cup', 'jacket', 'storage bin', 'coffee maker', 'dishwasher', 'paper towel roll', 'machine', 'mat', 'windowsill', 'bar', 'toaster', 'bulletin board', 'ironing board', 'fireplace', 'soap dish', 'kitchen counter', 'doorframe', 'toilet paper dispenser', 'mini fridge', 'fire extinguisher', 'ball', 'hat', 'shower curtain rod', 'water cooler', 'paper cutter', 'tray', 'shower door', 'pillar', 'ledge', 'toaster oven', 'mouse', 'toilet seat cover dispenser', 'furniture', 'cart', 'storage container', 'scale', 'tissue box', 'light switch', 'crate', 'power outlet', 'decoration', 'sign', 'projector', 'closet door', 'vacuum cleaner', 'candle', 'plunger', 'stuffed animal', 'headphones', 'dish rack', 'broom', 'guitar case', 'range hood', 'dustpan', 'hair dryer', 'water bottle', 'handicap bar', 'purse', 'vent', 'shower floor', 'water pitcher', 'mailbox', 'bowl', 'paper bag', 'alarm clock', 'music stand', 'projector screen', 'divider', 'laundry detergent', 'bathroom counter', 'object', 'bathroom vanity', 'closet wall', 'laundry hamper', 'bathroom stall door', 'ceiling light', 'trash bin', 'dumbbell', 'stair rail', 'tube', 'bathroom cabinet', 'cd case', 'closet rod', 'coffee kettle', 'structure', 'shower head', 'keyboard piano', 'case of water bottles', 'coat rack', 'storage organizer', 'folded chair', 'fire alarm', 'power strip', 'calendar', 'poster', 'potted plant', 'luggage', 'mattress'), train=dict( type='ScanNet200Dataset', split='train', data_root='data/scannet', transform=[ dict(type='ToTensor'), dict(type='CenterShift', apply_z=True), dict( type='RandomDropout', dropout_ratio=0.2, dropout_application_ratio=0.2), dict( type='RandomRotate', angle=[-1, 1], axis='z', center=[0, 0, 0], p=0.5), dict( type='RandomRotate', angle=[-0.015625, 0.015625], axis='x', p=0.5), dict( type='RandomRotate', angle=[-0.015625, 0.015625], axis='y', p=0.5), dict(type='RandomScale', scale=[0.9, 1.1]), dict(type='RandomFlip', p=0.5), dict(type='RandomJitter', sigma=0.005, clip=0.02), dict( type='ElasticDistortion', distortion_params=[[0.2, 0.4], [0.8, 1.6]]), dict(type='ChromaticAutoContrast', p=0.2, blend_factor=None), dict(type='ChromaticTranslation', p=0.95, ratio=0.05), dict(type='ChromaticJitter', p=0.95, std=0.05), dict( type='GridSample', grid_size=0.02, hash_type='fnv', mode='train', return_grid_coord=True), dict(type='SphereCrop', point_max=100000, mode='random'), dict(type='CenterShift', apply_z=False), dict(type='NormalizeColor'), dict( type='Collect', keys=('coord', 'grid_coord', 'segment'), feat_keys=('color', 'normal')) ], test_mode=False, loop=8), val=dict( type='ScanNet200Dataset', split='val', data_root='data/scannet', transform=[ dict(type='ToTensor'), dict(type='CenterShift', apply_z=True), dict( type='GridSample', grid_size=0.02, hash_type='fnv', mode='train', return_grid_coord=True), dict(type='CenterShift', apply_z=False), dict(type='NormalizeColor'), dict( type='Collect', keys=('coord', 'grid_coord', 'segment'), feat_keys=('color', 'normal')) ], test_mode=False), test=dict( type='ScanNet200Dataset', split='val', data_root='data/scannet', transform=[ dict(type='ToTensor'), dict(type='CenterShift', apply_z=True), dict(type='NormalizeColor') ], test_mode=True, test_cfg=dict( voxelize=dict( type='GridSample', grid_size=0.02, hash_type='fnv', mode='test', return_grid_coord=True, keys=('coord', 'color', 'normal')), crop=None, post_transform=[ dict(type='CenterShift', apply_z=False), dict( type='Collect', keys=('coord', 'grid_coord', 'index'), feat_keys=('color', 'normal')) ], aug_transform=[[{ 'type': 'RandomRotateTargetAngle', 'angle': [0], 'axis': 'z', 'center': [0, 0, 0], 'p': 1 }], [{ 'type': 'RandomRotateTargetAngle', 'angle': [0.5], 'axis': 'z', 'center': [0, 0, 0], 'p': 1 }], [{ 'type': 'RandomRotateTargetAngle', 'angle': [1], 'axis': 'z', 'center': [0, 0, 0], 'p': 1 }], [{ 'type': 'RandomRotateTargetAngle', 'angle': [1.5], 'axis': 'z', 'center': [0, 0, 0], 'p': 1 }], [{ 'type': 'RandomRotateTargetAngle', 'angle': [0], 'axis': 'z', 'center': [0, 0, 0], 'p': 1 }, { 'type': 'RandomScale', 'scale': [0.95, 0.95] }], [{ 'type': 'RandomRotateTargetAngle', 'angle': [0.5], 'axis': 'z', 'center': [0, 0, 0], 'p': 1 }, { 'type': 'RandomScale', 'scale': [0.95, 0.95] }], [{ 'type': 'RandomRotateTargetAngle', 'angle': [1], 'axis': 'z', 'center': [0, 0, 0], 'p': 1 }, { 'type': 'RandomScale', 'scale': [0.95, 0.95] }], [{ 'type': 'RandomRotateTargetAngle', 'angle': [1.5], 'axis': 'z', 'center': [0, 0, 0], 'p': 1 }, { 'type': 'RandomScale', 'scale': [0.95, 0.95] }], [{ 'type': 'RandomRotateTargetAngle', 'angle': [0], 'axis': 'z', 'center': [0, 0, 0], 'p': 1 }, { 'type': 'RandomScale', 'scale': [1.05, 1.05] }], [{ 'type': 'RandomRotateTargetAngle', 'angle': [0.5], 'axis': 'z', 'center': [0, 0, 0], 'p': 1 }, { 'type': 'RandomScale', 'scale': [1.05, 1.05] }], [{ 'type': 'RandomRotateTargetAngle', 'angle': [1], 'axis': 'z', 'center': [0, 0, 0], 'p': 1 }, { 'type': 'RandomScale', 'scale': [1.05, 1.05] }], [{ 'type': 'RandomRotateTargetAngle', 'angle': [1.5], 'axis': 'z', 'center': [0, 0, 0], 'p': 1 }, { 'type': 'RandomScale', 'scale': [1.05, 1.05] }], [{ 'type': 'RandomFlip', 'p': 1 }]]))) num_worker_per_gpu = 16 batch_size_per_gpu = 8 batch_size_val_per_gpu = 1 batch_size_test_per_gpu = 1 [2025-03-11 01:05:13,709 INFO train.py line 132 2389709] => Building model ... [2025-03-11 01:05:14,298 INFO train.py line 232 2389709] Num params: 39175304 [2025-03-11 01:05:14,417 INFO train.py line 134 2389709] => Building writer ... [2025-03-11 01:05:14,419 INFO train.py line 242 2389709] Tensorboard writer logging dir: exp/scannet200/semseg-spunet-base-m5-s1 [2025-03-11 01:05:14,419 INFO train.py line 136 2389709] => Building train dataset & dataloader ... [2025-03-11 01:05:14,422 INFO defaults.py line 68 2389709] Totally 1201 x 8 samples in train set. [2025-03-11 01:05:14,423 INFO train.py line 138 2389709] => Building val dataset & dataloader ... [2025-03-11 01:05:14,423 INFO defaults.py line 68 2389709] Totally 312 x 1 samples in val set. [2025-03-11 01:05:14,423 INFO train.py line 140 2389709] => Building optimize, scheduler, scaler(amp) ... [2025-03-11 01:05:14,424 INFO train.py line 144 2389709] => Building hooks ... [2025-03-11 01:05:14,425 INFO misc.py line 214 2389709] => Loading checkpoint & weight ... [2025-03-11 01:05:14,425 INFO misc.py line 216 2389709] Loading weight at: exp/scannet/pretrain-gs-v4-spunet-base-m5/model/model_last.pth [2025-03-11 01:05:14,954 INFO misc.py line 221 2389709] Loading layer weights with keyword: , replace keyword with: [2025-03-11 01:05:14,959 INFO misc.py line 238 2389709] Missing keys: ['module.backbone.final.weight', 'module.backbone.final.bias'] [2025-03-11 01:05:14,959 INFO train.py line 151 2389709] >>>>>>>>>>>>>>>> Start Training >>>>>>>>>>>>>>>> [2025-03-11 01:06:10,900 INFO hook.py line 566 2389709] Train: [1/100][50/300] Data 0.003 (0.002) Batch 0.490 (0.501) Remain 04:09:58 loss: 5.5450 Lr: 5.12342e-04 [2025-03-11 01:06:35,395 INFO hook.py line 566 2389709] Train: [1/100][100/300] Data 0.002 (0.002) Batch 0.488 (0.495) Remain 04:06:45 loss: 4.1234 Lr: 5.49233e-04 [2025-03-11 01:07:00,083 INFO hook.py line 566 2389709] Train: [1/100][150/300] Data 0.003 (0.002) Batch 0.476 (0.495) Remain 04:06:06 loss: 3.0483 Lr: 6.10269e-04 [2025-03-11 01:07:24,654 INFO hook.py line 566 2389709] Train: [1/100][200/300] Data 0.002 (0.002) Batch 0.534 (0.494) Remain 04:05:16 loss: 2.6167 Lr: 6.94779e-04 [2025-03-11 01:07:49,299 INFO hook.py line 566 2389709] Train: [1/100][250/300] Data 0.003 (0.002) Batch 0.477 (0.494) Remain 04:04:46 loss: 2.7842 Lr: 8.01836e-04 [2025-03-11 01:08:13,129 INFO hook.py line 566 2389709] Train: [1/100][300/300] Data 0.001 (0.002) Batch 0.458 (0.491) Remain 04:02:56 loss: 2.5765 Lr: 9.30266e-04 [2025-03-11 01:08:13,129 INFO misc.py line 135 2389709] Train result: loss: 3.8081 [2025-03-11 01:08:13,244 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 01:09:02,935 INFO hook.py line 748 2389709] Test: [1/78] Loss 3.2884 [2025-03-11 01:09:02,981 INFO hook.py line 748 2389709] Test: [2/78] Loss 3.2261 [2025-03-11 01:09:03,013 INFO hook.py line 748 2389709] Test: [3/78] Loss 1.5952 [2025-03-11 01:09:03,062 INFO hook.py line 748 2389709] Test: [4/78] Loss 1.2863 [2025-03-11 01:09:03,099 INFO hook.py line 748 2389709] Test: [5/78] Loss 2.5998 [2025-03-11 01:09:03,158 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0756 [2025-03-11 01:09:03,211 INFO hook.py line 748 2389709] Test: [7/78] Loss 2.4194 [2025-03-11 01:09:03,239 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.9825 [2025-03-11 01:09:03,288 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.9257 [2025-03-11 01:09:03,324 INFO hook.py line 748 2389709] Test: [10/78] Loss 3.1704 [2025-03-11 01:09:03,373 INFO hook.py line 748 2389709] Test: [11/78] Loss 2.3812 [2025-03-11 01:09:03,414 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.3098 [2025-03-11 01:09:03,463 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.9045 [2025-03-11 01:09:03,509 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.4021 [2025-03-11 01:09:03,546 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.6178 [2025-03-11 01:09:03,609 INFO hook.py line 748 2389709] Test: [16/78] Loss 1.0120 [2025-03-11 01:09:03,646 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5896 [2025-03-11 01:09:03,682 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.3520 [2025-03-11 01:09:03,726 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5878 [2025-03-11 01:09:03,763 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5898 [2025-03-11 01:09:03,810 INFO hook.py line 748 2389709] Test: [21/78] Loss 1.1711 [2025-03-11 01:09:03,851 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.9880 [2025-03-11 01:09:03,880 INFO hook.py line 748 2389709] Test: [23/78] Loss 2.3193 [2025-03-11 01:09:03,929 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.5296 [2025-03-11 01:09:03,973 INFO hook.py line 748 2389709] Test: [25/78] Loss 2.5222 [2025-03-11 01:09:04,020 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.7383 [2025-03-11 01:09:04,074 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.9036 [2025-03-11 01:09:04,111 INFO hook.py line 748 2389709] Test: [28/78] Loss 1.9448 [2025-03-11 01:09:04,149 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.3948 [2025-03-11 01:09:04,206 INFO hook.py line 748 2389709] Test: [30/78] Loss 3.1976 [2025-03-11 01:09:04,264 INFO hook.py line 748 2389709] Test: [31/78] Loss 1.0555 [2025-03-11 01:09:04,300 INFO hook.py line 748 2389709] Test: [32/78] Loss 2.4979 [2025-03-11 01:09:04,358 INFO hook.py line 748 2389709] Test: [33/78] Loss 2.1351 [2025-03-11 01:09:04,401 INFO hook.py line 748 2389709] Test: [34/78] Loss 3.5038 [2025-03-11 01:09:04,441 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.9837 [2025-03-11 01:09:04,483 INFO hook.py line 748 2389709] Test: [36/78] Loss 2.0943 [2025-03-11 01:09:04,536 INFO hook.py line 748 2389709] Test: [37/78] Loss 3.2051 [2025-03-11 01:09:04,570 INFO hook.py line 748 2389709] Test: [38/78] Loss 1.1919 [2025-03-11 01:09:04,637 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.3885 [2025-03-11 01:09:04,685 INFO hook.py line 748 2389709] Test: [40/78] Loss 2.6656 [2025-03-11 01:09:04,738 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.7802 [2025-03-11 01:09:04,767 INFO hook.py line 748 2389709] Test: [42/78] Loss 1.3839 [2025-03-11 01:09:04,817 INFO hook.py line 748 2389709] Test: [43/78] Loss 2.9619 [2025-03-11 01:09:04,876 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.5702 [2025-03-11 01:09:04,920 INFO hook.py line 748 2389709] Test: [45/78] Loss 4.3731 [2025-03-11 01:09:04,979 INFO hook.py line 748 2389709] Test: [46/78] Loss 3.4495 [2025-03-11 01:09:05,021 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.9781 [2025-03-11 01:09:05,055 INFO hook.py line 748 2389709] Test: [48/78] Loss 2.3601 [2025-03-11 01:09:05,090 INFO hook.py line 748 2389709] Test: [49/78] Loss 2.0850 [2025-03-11 01:09:05,127 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.5238 [2025-03-11 01:09:05,159 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.7009 [2025-03-11 01:09:05,194 INFO hook.py line 748 2389709] Test: [52/78] Loss 2.3814 [2025-03-11 01:09:05,222 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.9574 [2025-03-11 01:09:05,261 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2656 [2025-03-11 01:09:05,302 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.5306 [2025-03-11 01:09:05,347 INFO hook.py line 748 2389709] Test: [56/78] Loss 2.0426 [2025-03-11 01:09:05,384 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.6096 [2025-03-11 01:09:05,414 INFO hook.py line 748 2389709] Test: [58/78] Loss 3.2986 [2025-03-11 01:09:05,452 INFO hook.py line 748 2389709] Test: [59/78] Loss 1.2328 [2025-03-11 01:09:05,489 INFO hook.py line 748 2389709] Test: [60/78] Loss 1.3022 [2025-03-11 01:09:05,516 INFO hook.py line 748 2389709] Test: [61/78] Loss 2.3386 [2025-03-11 01:09:05,551 INFO hook.py line 748 2389709] Test: [62/78] Loss 2.0764 [2025-03-11 01:09:05,589 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.7202 [2025-03-11 01:09:05,649 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.4781 [2025-03-11 01:09:05,677 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.5134 [2025-03-11 01:09:05,723 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.6213 [2025-03-11 01:09:05,762 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.9829 [2025-03-11 01:09:05,799 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.8108 [2025-03-11 01:09:05,834 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.5013 [2025-03-11 01:09:05,898 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.9421 [2025-03-11 01:09:05,946 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.9243 [2025-03-11 01:09:06,000 INFO hook.py line 748 2389709] Test: [72/78] Loss 2.1012 [2025-03-11 01:09:06,054 INFO hook.py line 748 2389709] Test: [73/78] Loss 2.5372 [2025-03-11 01:09:06,101 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.2055 [2025-03-11 01:09:06,155 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6981 [2025-03-11 01:09:06,187 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.2287 [2025-03-11 01:09:06,247 INFO hook.py line 748 2389709] Test: [77/78] Loss 1.4488 [2025-03-11 01:09:06,273 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3579 [2025-03-11 01:09:07,499 INFO hook.py line 674 2389709] ######################################## [2025-03-11 01:09:07,499 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 01:09:07,499 INFO hook.py line 680 2389709] ######################################## [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] wall : 0.6934 0.9315 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] chair : 0.7368 0.8859 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] floor : 0.9287 0.9829 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] table : 0.3341 0.8652 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] door : 0.3911 0.6861 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] couch : 0.4340 0.7870 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] cabinet : 0.0396 0.0796 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] shelf : 0.2228 0.6980 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] desk : 0.0000 0.0000 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] office chair : 0.0000 0.0000 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] bed : 0.3614 0.8321 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] pillow : 0.0000 0.0000 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] sink : 0.0000 0.0000 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] picture : 0.0000 0.0000 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] window : 0.3771 0.6304 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] toilet : 0.0000 0.0000 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] bookshelf : 0.0276 0.0371 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] monitor : 0.0000 0.0000 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] curtain : 0.0000 0.0000 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] book : 0.0000 0.0000 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] armchair : 0.0000 0.0000 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] coffee table : 0.0000 0.0000 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] box : 0.0000 0.0000 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] refrigerator : 0.0000 0.0000 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] lamp : 0.0000 0.0000 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] kitchen cabinet: 0.0000 0.0000 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] towel : 0.0000 0.0000 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] clothes : 0.0000 0.0000 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] tv : 0.0000 0.0000 [2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] nightstand : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] counter : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] dresser : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] stool : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] plant : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] ceiling : 0.9000 0.9655 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] bathtub : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] end table : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] keyboard : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] bag : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] backpack : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] toilet paper : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] printer : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] tv stand : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] whiteboard : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] blanket : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] shower curtain : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] trash can : 0.1037 0.4341 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] closet : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] stairs : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] microwave : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] stove : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] shoe : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] computer tower : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] bottle : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] ottoman : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] bench : 0.0000 0.0000 [2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] board : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] washing machine: 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] mirror : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] copier : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] sofa chair : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] file cabinet : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] fan : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] laptop : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] shower : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] paper : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] person : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] paper towel dispenser: 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] blackboard : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] piano : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] suitcase : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] rail : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] radiator : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] recycling bin : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] wardrobe : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] soap dispenser : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] telephone : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] bucket : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] clock : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] light : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] pipe : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] clothes dryer : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] guitar : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] ladder : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] bathroom stall : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] shower wall : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] cup : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] jacket : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] coffee maker : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] dishwasher : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] paper towel roll: 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] mat : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] windowsill : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] bar : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] bulletin board : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] fireplace : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] soap dish : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] kitchen counter: 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] doorframe : 0.0000 0.0000 [2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] toilet paper dispenser: 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] mini fridge : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] ball : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] shower curtain rod: 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] water cooler : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] paper cutter : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] shower door : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] ledge : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] mouse : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] cart : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] scale : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] tissue box : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] decoration : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] closet door : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] vacuum cleaner : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] plunger : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] dish rack : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] broom : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] range hood : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] handicap bar : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] shower floor : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] mailbox : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] paper bag : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] divider : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] bathroom counter: 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] object : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] bathroom vanity: 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] closet wall : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] laundry hamper : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] bathroom stall door: 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] ceiling light : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] trash bin : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] dumbbell : 0.0000 0.0000 [2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] stair rail : 0.0000 0.0000 [2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] tube : 0.0000 0.0000 [2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] bathroom cabinet: 0.0000 0.0000 [2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] closet rod : 0.0000 0.0000 [2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] shower head : 0.0000 0.0000 [2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 [2025-03-11 01:09:07,506 INFO hook.py line 690 2389709] ######################################## [2025-03-11 01:09:07,506 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.0278/0.0441/0.6576. [2025-03-11 01:09:07,507 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 01:09:07,520 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.0278 [2025-03-11 01:09:07,520 INFO misc.py line 164 2389709] Currently Best mIoU: 0.0278 [2025-03-11 01:09:07,520 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 01:09:37,931 INFO hook.py line 566 2389709] Train: [2/100][50/300] Data 0.002 (0.002) Batch 0.454 (0.496) Remain 04:04:53 loss: 1.9146 Lr: 1.07866e-03 [2025-03-11 01:10:02,542 INFO hook.py line 566 2389709] Train: [2/100][100/300] Data 0.003 (0.002) Batch 0.470 (0.494) Remain 04:03:36 loss: 1.8226 Lr: 1.24539e-03 [2025-03-11 01:10:27,145 INFO hook.py line 566 2389709] Train: [2/100][150/300] Data 0.002 (0.002) Batch 0.494 (0.493) Remain 04:02:54 loss: 2.0540 Lr: 1.42863e-03 [2025-03-11 01:10:51,845 INFO hook.py line 566 2389709] Train: [2/100][200/300] Data 0.003 (0.002) Batch 0.471 (0.493) Remain 04:02:35 loss: 2.0893 Lr: 1.62636e-03 [2025-03-11 01:11:16,188 INFO hook.py line 566 2389709] Train: [2/100][250/300] Data 0.002 (0.002) Batch 0.478 (0.492) Remain 04:01:32 loss: 1.9565 Lr: 1.83642e-03 [2025-03-11 01:11:40,735 INFO hook.py line 566 2389709] Train: [2/100][300/300] Data 0.002 (0.002) Batch 0.451 (0.492) Remain 04:01:01 loss: 2.0485 Lr: 2.05651e-03 [2025-03-11 01:11:40,736 INFO misc.py line 135 2389709] Train result: loss: 2.1280 [2025-03-11 01:11:40,839 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 01:12:36,907 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.8783 [2025-03-11 01:12:36,967 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.7463 [2025-03-11 01:12:37,005 INFO hook.py line 748 2389709] Test: [3/78] Loss 1.0655 [2025-03-11 01:12:37,058 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.7262 [2025-03-11 01:12:37,097 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.7420 [2025-03-11 01:12:37,154 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.9949 [2025-03-11 01:12:37,206 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.7578 [2025-03-11 01:12:37,242 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.9027 [2025-03-11 01:12:37,287 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.5331 [2025-03-11 01:12:37,330 INFO hook.py line 748 2389709] Test: [10/78] Loss 2.2628 [2025-03-11 01:12:37,379 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.6130 [2025-03-11 01:12:37,416 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2306 [2025-03-11 01:12:37,467 INFO hook.py line 748 2389709] Test: [13/78] Loss 3.0774 [2025-03-11 01:12:37,508 INFO hook.py line 748 2389709] Test: [14/78] Loss 2.7780 [2025-03-11 01:12:37,550 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.4279 [2025-03-11 01:12:37,596 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.7260 [2025-03-11 01:12:37,634 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3800 [2025-03-11 01:12:37,677 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.2433 [2025-03-11 01:12:37,725 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5143 [2025-03-11 01:12:37,762 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4802 [2025-03-11 01:12:37,806 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7938 [2025-03-11 01:12:37,847 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.2295 [2025-03-11 01:12:37,883 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.8404 [2025-03-11 01:12:37,936 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0856 [2025-03-11 01:12:37,978 INFO hook.py line 748 2389709] Test: [25/78] Loss 2.2781 [2025-03-11 01:12:38,020 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4472 [2025-03-11 01:12:38,074 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0773 [2025-03-11 01:12:38,110 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.9569 [2025-03-11 01:12:38,143 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0358 [2025-03-11 01:12:38,199 INFO hook.py line 748 2389709] Test: [30/78] Loss 2.4373 [2025-03-11 01:12:38,257 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.7726 [2025-03-11 01:12:38,291 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6490 [2025-03-11 01:12:38,355 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.3884 [2025-03-11 01:12:38,395 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.8502 [2025-03-11 01:12:38,431 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.4236 [2025-03-11 01:12:38,476 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.6654 [2025-03-11 01:12:38,522 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.4496 [2025-03-11 01:12:38,559 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9340 [2025-03-11 01:12:38,629 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.1534 [2025-03-11 01:12:38,678 INFO hook.py line 748 2389709] Test: [40/78] Loss 2.3618 [2025-03-11 01:12:38,727 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4726 [2025-03-11 01:12:38,756 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5714 [2025-03-11 01:12:38,791 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.4547 [2025-03-11 01:12:38,850 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.1359 [2025-03-11 01:12:38,886 INFO hook.py line 748 2389709] Test: [45/78] Loss 2.6229 [2025-03-11 01:12:38,935 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2766 [2025-03-11 01:12:38,977 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.6042 [2025-03-11 01:12:39,014 INFO hook.py line 748 2389709] Test: [48/78] Loss 2.1350 [2025-03-11 01:12:39,045 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.1812 [2025-03-11 01:12:39,078 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.0738 [2025-03-11 01:12:39,113 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.6877 [2025-03-11 01:12:39,149 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6404 [2025-03-11 01:12:39,182 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2255 [2025-03-11 01:12:39,217 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.0673 [2025-03-11 01:12:39,255 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4174 [2025-03-11 01:12:39,297 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.5066 [2025-03-11 01:12:39,329 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.9256 [2025-03-11 01:12:39,355 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.8826 [2025-03-11 01:12:39,396 INFO hook.py line 748 2389709] Test: [59/78] Loss 1.0514 [2025-03-11 01:12:39,438 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6229 [2025-03-11 01:12:39,467 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.1697 [2025-03-11 01:12:39,507 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.4223 [2025-03-11 01:12:39,543 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2903 [2025-03-11 01:12:39,601 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.1875 [2025-03-11 01:12:39,632 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.5308 [2025-03-11 01:12:39,676 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.1578 [2025-03-11 01:12:39,716 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.7027 [2025-03-11 01:12:39,756 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1311 [2025-03-11 01:12:39,789 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4196 [2025-03-11 01:12:39,849 INFO hook.py line 748 2389709] Test: [70/78] Loss 2.0533 [2025-03-11 01:12:39,893 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.6122 [2025-03-11 01:12:39,951 INFO hook.py line 748 2389709] Test: [72/78] Loss 2.0601 [2025-03-11 01:12:40,008 INFO hook.py line 748 2389709] Test: [73/78] Loss 1.6692 [2025-03-11 01:12:40,051 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.8889 [2025-03-11 01:12:40,103 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.3559 [2025-03-11 01:12:40,131 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9626 [2025-03-11 01:12:40,193 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.8846 [2025-03-11 01:12:40,219 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9395 [2025-03-11 01:12:41,451 INFO hook.py line 674 2389709] ######################################## [2025-03-11 01:12:41,452 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 01:12:41,452 INFO hook.py line 680 2389709] ######################################## [2025-03-11 01:12:41,452 INFO hook.py line 689 2389709] wall : 0.7074 0.8987 [2025-03-11 01:12:41,452 INFO hook.py line 689 2389709] chair : 0.7049 0.9050 [2025-03-11 01:12:41,452 INFO hook.py line 689 2389709] floor : 0.9439 0.9830 [2025-03-11 01:12:41,452 INFO hook.py line 689 2389709] table : 0.5528 0.7786 [2025-03-11 01:12:41,452 INFO hook.py line 689 2389709] door : 0.4688 0.6893 [2025-03-11 01:12:41,452 INFO hook.py line 689 2389709] couch : 0.6342 0.9446 [2025-03-11 01:12:41,452 INFO hook.py line 689 2389709] cabinet : 0.0957 0.1238 [2025-03-11 01:12:41,452 INFO hook.py line 689 2389709] shelf : 0.3194 0.4165 [2025-03-11 01:12:41,452 INFO hook.py line 689 2389709] desk : 0.3287 0.6134 [2025-03-11 01:12:41,452 INFO hook.py line 689 2389709] office chair : 0.0004 0.0004 [2025-03-11 01:12:41,452 INFO hook.py line 689 2389709] bed : 0.6888 0.7849 [2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] pillow : 0.3999 0.6102 [2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] sink : 0.5383 0.7437 [2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] picture : 0.2299 0.3053 [2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] window : 0.4456 0.7628 [2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] toilet : 0.7321 0.8904 [2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] bookshelf : 0.3491 0.5150 [2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] monitor : 0.7346 0.9259 [2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] curtain : 0.4118 0.4918 [2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] book : 0.3750 0.7507 [2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] armchair : 0.4488 0.5483 [2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] coffee table : 0.5053 0.7847 [2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] box : 0.0225 0.0237 [2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] refrigerator : 0.2515 0.3487 [2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] lamp : 0.4204 0.7174 [2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] kitchen cabinet: 0.4363 0.5137 [2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] towel : 0.1585 0.2732 [2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] clothes : 0.0892 0.3086 [2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] tv : 0.6253 0.6980 [2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] nightstand : 0.4176 0.6883 [2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] counter : 0.0093 0.0097 [2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] dresser : 0.0562 0.0690 [2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] stool : 0.1332 0.4527 [2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] plant : 0.4098 0.7722 [2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] ceiling : 0.8921 0.9802 [2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] bathtub : 0.7666 0.8655 [2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] end table : 0.0000 0.0000 [2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 [2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] keyboard : 0.0000 0.0000 [2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] bag : 0.0000 0.0000 [2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] backpack : 0.3651 0.5942 [2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] toilet paper : 0.0003 0.0003 [2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] printer : 0.0002 0.0002 [2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] tv stand : 0.2580 0.2977 [2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] whiteboard : 0.2326 0.2626 [2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] blanket : 0.0000 0.0000 [2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] shower curtain : 0.5083 0.6240 [2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] trash can : 0.4659 0.7314 [2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] closet : 0.0004 0.0004 [2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] stairs : 0.4072 0.7333 [2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] microwave : 0.0217 0.0219 [2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] stove : 0.1919 0.5263 [2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] shoe : 0.0000 0.0000 [2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] computer tower : 0.0003 0.0003 [2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] bottle : 0.0000 0.0000 [2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] ottoman : 0.0002 0.0002 [2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] bench : 0.0000 0.0000 [2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] board : 0.0000 0.0000 [2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] washing machine: 0.0000 0.0000 [2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] mirror : 0.1526 0.2202 [2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] copier : 0.4393 0.7298 [2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] sofa chair : 0.0000 0.0000 [2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] file cabinet : 0.0000 0.0000 [2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] fan : 0.0000 0.0000 [2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] laptop : 0.0000 0.0000 [2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] shower : 0.0000 0.0000 [2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] paper : 0.0000 0.0000 [2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] person : 0.0000 0.0000 [2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] paper towel dispenser: 0.2692 0.4401 [2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 [2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] blackboard : 0.0000 0.0000 [2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] piano : 0.0000 0.0000 [2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] suitcase : 0.0302 0.0313 [2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] rail : 0.0000 0.0000 [2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] radiator : 0.4900 0.6240 [2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] recycling bin : 0.0035 0.0035 [2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] wardrobe : 0.0000 0.0000 [2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] soap dispenser : 0.0000 0.0000 [2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] telephone : 0.0000 0.0000 [2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] bucket : 0.0000 0.0000 [2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] clock : 0.0000 0.0000 [2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] light : 0.0000 0.0000 [2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 [2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] pipe : 0.0000 0.0000 [2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] clothes dryer : 0.0000 0.0000 [2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] guitar : 0.0000 0.0000 [2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] ladder : 0.0000 0.0000 [2025-03-11 01:12:41,459 INFO hook.py line 689 2389709] bathroom stall : 0.0000 0.0000 [2025-03-11 01:12:41,459 INFO hook.py line 689 2389709] shower wall : 0.3543 0.6837 [2025-03-11 01:12:41,459 INFO hook.py line 689 2389709] cup : 0.0000 0.0000 [2025-03-11 01:12:41,459 INFO hook.py line 689 2389709] jacket : 0.0000 0.0000 [2025-03-11 01:12:41,459 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 [2025-03-11 01:12:41,459 INFO hook.py line 689 2389709] coffee maker : 0.0000 0.0000 [2025-03-11 01:12:41,459 INFO hook.py line 689 2389709] dishwasher : 0.0000 0.0000 [2025-03-11 01:12:41,459 INFO hook.py line 689 2389709] paper towel roll: 0.0000 0.0000 [2025-03-11 01:12:41,459 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 01:12:41,459 INFO hook.py line 689 2389709] mat : 0.0000 0.0000 [2025-03-11 01:12:41,459 INFO hook.py line 689 2389709] windowsill : 0.0000 0.0000 [2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] bar : 0.0000 0.0000 [2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] bulletin board : 0.0000 0.0000 [2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 [2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] fireplace : 0.0000 0.0000 [2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] soap dish : 0.0000 0.0000 [2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] kitchen counter: 0.3617 0.7094 [2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] doorframe : 0.1667 0.4941 [2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] toilet paper dispenser: 0.0000 0.0000 [2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] mini fridge : 0.0000 0.0000 [2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] ball : 0.0000 0.0000 [2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] shower curtain rod: 0.0000 0.0000 [2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] water cooler : 0.0000 0.0000 [2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] paper cutter : 0.0000 0.0000 [2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 [2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] shower door : 0.0000 0.0000 [2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] ledge : 0.0000 0.0000 [2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] mouse : 0.0000 0.0000 [2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.0000 0.0000 [2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] cart : 0.0000 0.0000 [2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] scale : 0.0000 0.0000 [2025-03-11 01:12:41,462 INFO hook.py line 689 2389709] tissue box : 0.0000 0.0000 [2025-03-11 01:12:41,462 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 [2025-03-11 01:12:41,462 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 01:12:41,462 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 01:12:41,462 INFO hook.py line 689 2389709] decoration : 0.0000 0.0000 [2025-03-11 01:12:41,462 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 01:12:41,462 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 [2025-03-11 01:12:41,462 INFO hook.py line 689 2389709] closet door : 0.0000 0.0000 [2025-03-11 01:12:41,462 INFO hook.py line 689 2389709] vacuum cleaner : 0.0000 0.0000 [2025-03-11 01:12:41,462 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 01:12:41,462 INFO hook.py line 689 2389709] plunger : 0.0000 0.0000 [2025-03-11 01:12:41,463 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 01:12:41,463 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 01:12:41,463 INFO hook.py line 689 2389709] dish rack : 0.0000 0.0000 [2025-03-11 01:12:41,463 INFO hook.py line 689 2389709] broom : 0.0000 0.0000 [2025-03-11 01:12:41,463 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 01:12:41,463 INFO hook.py line 689 2389709] range hood : 0.0000 0.0000 [2025-03-11 01:12:41,463 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 [2025-03-11 01:12:41,463 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 01:12:41,463 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 01:12:41,463 INFO hook.py line 689 2389709] handicap bar : 0.0000 0.0000 [2025-03-11 01:12:41,463 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 01:12:41,463 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 01:12:41,464 INFO hook.py line 689 2389709] shower floor : 0.0000 0.0000 [2025-03-11 01:12:41,464 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 01:12:41,464 INFO hook.py line 689 2389709] mailbox : 0.0000 0.0000 [2025-03-11 01:12:41,464 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 [2025-03-11 01:12:41,464 INFO hook.py line 689 2389709] paper bag : 0.0000 0.0000 [2025-03-11 01:12:41,464 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 01:12:41,464 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 01:12:41,464 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 01:12:41,464 INFO hook.py line 689 2389709] divider : 0.0000 0.0000 [2025-03-11 01:12:41,464 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 01:12:41,464 INFO hook.py line 689 2389709] bathroom counter: 0.0000 0.0000 [2025-03-11 01:12:41,464 INFO hook.py line 689 2389709] object : 0.0041 0.0045 [2025-03-11 01:12:41,465 INFO hook.py line 689 2389709] bathroom vanity: 0.3122 0.4879 [2025-03-11 01:12:41,465 INFO hook.py line 689 2389709] closet wall : 0.0000 0.0000 [2025-03-11 01:12:41,465 INFO hook.py line 689 2389709] laundry hamper : 0.0000 0.0000 [2025-03-11 01:12:41,465 INFO hook.py line 689 2389709] bathroom stall door: 0.0000 0.0000 [2025-03-11 01:12:41,465 INFO hook.py line 689 2389709] ceiling light : 0.0000 0.0000 [2025-03-11 01:12:41,465 INFO hook.py line 689 2389709] trash bin : 0.0000 0.0000 [2025-03-11 01:12:41,465 INFO hook.py line 689 2389709] dumbbell : 0.0000 0.0000 [2025-03-11 01:12:41,465 INFO hook.py line 689 2389709] stair rail : 0.0011 0.0011 [2025-03-11 01:12:41,465 INFO hook.py line 689 2389709] tube : 0.0000 0.0000 [2025-03-11 01:12:41,465 INFO hook.py line 689 2389709] bathroom cabinet: 0.0000 0.0000 [2025-03-11 01:12:41,465 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 01:12:41,465 INFO hook.py line 689 2389709] closet rod : 0.0000 0.0000 [2025-03-11 01:12:41,466 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 01:12:41,466 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 01:12:41,466 INFO hook.py line 689 2389709] shower head : 0.0000 0.0000 [2025-03-11 01:12:41,466 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 01:12:41,466 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 01:12:41,466 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 01:12:41,466 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 01:12:41,466 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 01:12:41,466 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 01:12:41,466 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 01:12:41,466 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 01:12:41,466 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 01:12:41,467 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 01:12:41,467 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 01:12:41,467 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 [2025-03-11 01:12:41,467 INFO hook.py line 690 2389709] ######################################## [2025-03-11 01:12:41,467 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.1017/0.1471/0.7403. [2025-03-11 01:12:41,468 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 01:12:41,492 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.1017 [2025-03-11 01:12:41,492 INFO misc.py line 164 2389709] Currently Best mIoU: 0.1017 [2025-03-11 01:12:41,492 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 01:13:12,979 INFO hook.py line 566 2389709] Train: [3/100][50/300] Data 0.002 (0.002) Batch 0.557 (0.507) Remain 04:08:01 loss: 2.1794 Lr: 2.28420e-03 [2025-03-11 01:13:38,008 INFO hook.py line 566 2389709] Train: [3/100][100/300] Data 0.002 (0.002) Batch 0.516 (0.504) Remain 04:05:58 loss: 1.7214 Lr: 2.51700e-03 [2025-03-11 01:14:02,391 INFO hook.py line 566 2389709] Train: [3/100][150/300] Data 0.002 (0.002) Batch 0.530 (0.498) Remain 04:02:53 loss: 2.1734 Lr: 2.75236e-03 [2025-03-11 01:14:26,948 INFO hook.py line 566 2389709] Train: [3/100][200/300] Data 0.003 (0.002) Batch 0.523 (0.496) Remain 04:01:36 loss: 1.4960 Lr: 2.98769e-03 [2025-03-11 01:14:51,502 INFO hook.py line 566 2389709] Train: [3/100][250/300] Data 0.002 (0.002) Batch 0.497 (0.495) Remain 04:00:39 loss: 1.5469 Lr: 3.22041e-03 [2025-03-11 01:15:15,224 INFO hook.py line 566 2389709] Train: [3/100][300/300] Data 0.001 (0.002) Batch 0.415 (0.492) Remain 03:58:32 loss: 1.6501 Lr: 3.44798e-03 [2025-03-11 01:15:15,225 INFO misc.py line 135 2389709] Train result: loss: 1.7814 [2025-03-11 01:15:15,324 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 01:16:11,470 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.7355 [2025-03-11 01:16:11,515 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.1740 [2025-03-11 01:16:11,551 INFO hook.py line 748 2389709] Test: [3/78] Loss 1.0037 [2025-03-11 01:16:11,600 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.8662 [2025-03-11 01:16:11,637 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.2022 [2025-03-11 01:16:11,701 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.5912 [2025-03-11 01:16:11,764 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.5404 [2025-03-11 01:16:11,796 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.6048 [2025-03-11 01:16:11,849 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.7629 [2025-03-11 01:16:11,887 INFO hook.py line 748 2389709] Test: [10/78] Loss 2.2695 [2025-03-11 01:16:11,941 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.4418 [2025-03-11 01:16:11,987 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2059 [2025-03-11 01:16:12,036 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.2429 [2025-03-11 01:16:12,082 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.3546 [2025-03-11 01:16:12,118 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.6748 [2025-03-11 01:16:12,176 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.7149 [2025-03-11 01:16:12,214 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4224 [2025-03-11 01:16:12,250 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.3306 [2025-03-11 01:16:12,296 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5200 [2025-03-11 01:16:12,332 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.8358 [2025-03-11 01:16:12,370 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.9245 [2025-03-11 01:16:12,411 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.0806 [2025-03-11 01:16:12,445 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.7767 [2025-03-11 01:16:12,499 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9805 [2025-03-11 01:16:12,541 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7648 [2025-03-11 01:16:12,586 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.8230 [2025-03-11 01:16:12,644 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.2058 [2025-03-11 01:16:12,680 INFO hook.py line 748 2389709] Test: [28/78] Loss 1.2618 [2025-03-11 01:16:12,715 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.2588 [2025-03-11 01:16:12,771 INFO hook.py line 748 2389709] Test: [30/78] Loss 2.5016 [2025-03-11 01:16:12,834 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.8016 [2025-03-11 01:16:12,871 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.9810 [2025-03-11 01:16:12,929 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.0958 [2025-03-11 01:16:12,970 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.3651 [2025-03-11 01:16:13,006 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1905 [2025-03-11 01:16:13,046 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7020 [2025-03-11 01:16:13,088 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.6015 [2025-03-11 01:16:13,121 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9772 [2025-03-11 01:16:13,192 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.9360 [2025-03-11 01:16:13,242 INFO hook.py line 748 2389709] Test: [40/78] Loss 2.2688 [2025-03-11 01:16:13,290 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.5379 [2025-03-11 01:16:13,327 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4856 [2025-03-11 01:16:13,376 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.5091 [2025-03-11 01:16:13,435 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0849 [2025-03-11 01:16:13,477 INFO hook.py line 748 2389709] Test: [45/78] Loss 2.3495 [2025-03-11 01:16:13,529 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2853 [2025-03-11 01:16:13,570 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.1890 [2025-03-11 01:16:13,603 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.7623 [2025-03-11 01:16:13,639 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.7166 [2025-03-11 01:16:13,678 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.9643 [2025-03-11 01:16:13,709 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2552 [2025-03-11 01:16:13,744 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.8271 [2025-03-11 01:16:13,773 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1261 [2025-03-11 01:16:13,814 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.5603 [2025-03-11 01:16:13,857 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.2173 [2025-03-11 01:16:13,901 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0972 [2025-03-11 01:16:13,939 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.7765 [2025-03-11 01:16:13,969 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.7703 [2025-03-11 01:16:14,008 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9927 [2025-03-11 01:16:14,044 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7927 [2025-03-11 01:16:14,070 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.5359 [2025-03-11 01:16:14,106 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.3615 [2025-03-11 01:16:14,142 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.4950 [2025-03-11 01:16:14,202 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.1067 [2025-03-11 01:16:14,229 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.7290 [2025-03-11 01:16:14,278 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.9202 [2025-03-11 01:16:14,318 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.8204 [2025-03-11 01:16:14,356 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.2714 [2025-03-11 01:16:14,392 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3784 [2025-03-11 01:16:14,459 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.5607 [2025-03-11 01:16:14,506 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8728 [2025-03-11 01:16:14,561 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.8180 [2025-03-11 01:16:14,614 INFO hook.py line 748 2389709] Test: [73/78] Loss 1.3763 [2025-03-11 01:16:14,664 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.9802 [2025-03-11 01:16:14,719 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5663 [2025-03-11 01:16:14,754 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.2494 [2025-03-11 01:16:14,814 INFO hook.py line 748 2389709] Test: [77/78] Loss 1.1540 [2025-03-11 01:16:14,840 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9634 [2025-03-11 01:16:15,971 INFO hook.py line 674 2389709] ######################################## [2025-03-11 01:16:15,971 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 01:16:15,971 INFO hook.py line 680 2389709] ######################################## [2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] wall : 0.7322 0.9040 [2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] chair : 0.6980 0.8208 [2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] floor : 0.9493 0.9840 [2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] table : 0.5435 0.7150 [2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] door : 0.5400 0.6411 [2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] couch : 0.7183 0.8037 [2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] cabinet : 0.1374 0.1832 [2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] shelf : 0.3385 0.8229 [2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] desk : 0.3435 0.5198 [2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] office chair : 0.2818 0.5066 [2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] bed : 0.6979 0.8190 [2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] pillow : 0.3879 0.5344 [2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] sink : 0.4907 0.7504 [2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] picture : 0.2486 0.3623 [2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] window : 0.4308 0.5605 [2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] toilet : 0.8473 0.9521 [2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] bookshelf : 0.1066 0.1099 [2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] monitor : 0.7252 0.8957 [2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] curtain : 0.5213 0.5384 [2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] book : 0.3412 0.4598 [2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] armchair : 0.5488 0.7492 [2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] coffee table : 0.3152 0.9489 [2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] box : 0.1619 0.2569 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] refrigerator : 0.3830 0.6085 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] lamp : 0.4879 0.7017 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] kitchen cabinet: 0.4639 0.5679 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] towel : 0.2491 0.3942 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] clothes : 0.1654 0.2104 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] tv : 0.3126 0.9488 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] nightstand : 0.4748 0.7835 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] counter : 0.0373 0.0431 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] dresser : 0.2064 0.5188 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] stool : 0.0997 0.6322 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] plant : 0.1806 0.2651 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] ceiling : 0.8917 0.9303 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] bathtub : 0.7908 0.8839 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] end table : 0.0118 0.0170 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] keyboard : 0.1406 0.5252 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] bag : 0.0000 0.0000 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] backpack : 0.0774 0.0778 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] toilet paper : 0.2169 0.6022 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] printer : 0.2468 0.6130 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] tv stand : 0.4524 0.6201 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] whiteboard : 0.3137 0.3812 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] blanket : 0.0000 0.0000 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] shower curtain : 0.5638 0.6456 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] trash can : 0.3749 0.5614 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] closet : 0.0022 0.0023 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] stairs : 0.1946 0.7560 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] microwave : 0.1663 0.5616 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] stove : 0.4777 0.7507 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] shoe : 0.3082 0.4577 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] computer tower : 0.1440 0.4421 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] bottle : 0.0000 0.0000 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] ottoman : 0.0883 0.2047 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] bench : 0.0195 0.0201 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] board : 0.0036 0.0040 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] washing machine: 0.1068 0.1194 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] mirror : 0.1728 0.3304 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] copier : 0.2260 0.9273 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] sofa chair : 0.0211 0.0246 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] file cabinet : 0.1621 0.3754 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] fan : 0.0000 0.0000 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] laptop : 0.0102 0.0104 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] shower : 0.0017 0.0017 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] paper : 0.0000 0.0000 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] person : 0.0000 0.0000 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] paper towel dispenser: 0.3739 0.5210 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] blackboard : 0.2575 0.5797 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] piano : 0.0000 0.0000 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] suitcase : 0.2455 0.6494 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] rail : 0.0000 0.0000 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] radiator : 0.4082 0.6928 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] recycling bin : 0.1683 0.4467 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] wardrobe : 0.0048 0.0048 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] soap dispenser : 0.2266 0.5895 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] telephone : 0.0257 0.0384 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] bucket : 0.0000 0.0000 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] clock : 0.0000 0.0000 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] light : 0.0163 0.0181 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] pipe : 0.0000 0.0000 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] clothes dryer : 0.0330 0.0348 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] guitar : 0.0000 0.0000 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] ladder : 0.0000 0.0000 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] bathroom stall : 0.0843 0.1009 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] shower wall : 0.4423 0.5852 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] cup : 0.0459 0.1224 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] jacket : 0.0200 0.0357 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] coffee maker : 0.0327 0.0656 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] dishwasher : 0.0000 0.0000 [2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] paper towel roll: 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] mat : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] windowsill : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] bar : 0.1313 0.4604 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] bulletin board : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] fireplace : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] soap dish : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] kitchen counter: 0.4138 0.6632 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] doorframe : 0.2059 0.3092 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] toilet paper dispenser: 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] mini fridge : 0.0930 0.0974 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] ball : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] shower curtain rod: 0.1875 0.6764 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] water cooler : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] paper cutter : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] shower door : 0.0009 0.0009 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] ledge : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] mouse : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] cart : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] scale : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] tissue box : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] decoration : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] closet door : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] vacuum cleaner : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] plunger : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] dish rack : 0.0339 0.0700 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] broom : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] range hood : 0.5465 0.7279 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] handicap bar : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] shower floor : 0.6725 0.9767 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] mailbox : 0.1322 0.1399 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] paper bag : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] divider : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] bathroom counter: 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] object : 0.0289 0.0445 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] bathroom vanity: 0.2568 0.8352 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] closet wall : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] laundry hamper : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] bathroom stall door: 0.1271 0.1542 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] ceiling light : 0.0507 0.0590 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] trash bin : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] dumbbell : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] stair rail : 0.0062 0.0064 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] tube : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] bathroom cabinet: 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] closet rod : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] shower head : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 01:16:15,976 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 01:16:15,976 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 01:16:15,976 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 01:16:15,976 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 01:16:15,976 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 01:16:15,976 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 [2025-03-11 01:16:15,976 INFO hook.py line 690 2389709] ######################################## [2025-03-11 01:16:15,976 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.1281/0.2053/0.7389. [2025-03-11 01:16:15,976 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 01:16:15,993 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.1281 [2025-03-11 01:16:15,993 INFO misc.py line 164 2389709] Currently Best mIoU: 0.1281 [2025-03-11 01:16:15,993 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 01:16:46,644 INFO hook.py line 566 2389709] Train: [4/100][50/300] Data 0.002 (0.002) Batch 0.485 (0.493) Remain 03:58:54 loss: 1.8139 Lr: 3.66788e-03 [2025-03-11 01:17:11,227 INFO hook.py line 566 2389709] Train: [4/100][100/300] Data 0.002 (0.002) Batch 0.488 (0.493) Remain 03:58:02 loss: 1.7290 Lr: 3.87772e-03 [2025-03-11 01:17:35,943 INFO hook.py line 566 2389709] Train: [4/100][150/300] Data 0.002 (0.002) Batch 0.484 (0.493) Remain 03:57:55 loss: 2.0531 Lr: 4.07519e-03 [2025-03-11 01:18:00,844 INFO hook.py line 566 2389709] Train: [4/100][200/300] Data 0.002 (0.002) Batch 0.436 (0.494) Remain 03:58:07 loss: 1.4940 Lr: 4.25811e-03 [2025-03-11 01:18:25,610 INFO hook.py line 566 2389709] Train: [4/100][250/300] Data 0.002 (0.002) Batch 0.564 (0.495) Remain 03:57:48 loss: 1.7817 Lr: 4.42449e-03 [2025-03-11 01:18:49,744 INFO hook.py line 566 2389709] Train: [4/100][300/300] Data 0.002 (0.002) Batch 0.477 (0.493) Remain 03:56:25 loss: 1.3944 Lr: 4.57250e-03 [2025-03-11 01:18:49,744 INFO misc.py line 135 2389709] Train result: loss: 1.6622 [2025-03-11 01:18:49,854 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 01:19:38,129 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.8641 [2025-03-11 01:19:38,255 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.3884 [2025-03-11 01:19:38,304 INFO hook.py line 748 2389709] Test: [3/78] Loss 1.1566 [2025-03-11 01:19:38,356 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.9399 [2025-03-11 01:19:38,397 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.9328 [2025-03-11 01:19:38,455 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.9258 [2025-03-11 01:19:38,511 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.6620 [2025-03-11 01:19:38,541 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.7580 [2025-03-11 01:19:38,586 INFO hook.py line 748 2389709] Test: [9/78] Loss 2.2085 [2025-03-11 01:19:38,622 INFO hook.py line 748 2389709] Test: [10/78] Loss 2.2135 [2025-03-11 01:19:38,675 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.4862 [2025-03-11 01:19:38,709 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.7103 [2025-03-11 01:19:38,757 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.1821 [2025-03-11 01:19:38,794 INFO hook.py line 748 2389709] Test: [14/78] Loss 2.9839 [2025-03-11 01:19:38,831 INFO hook.py line 748 2389709] Test: [15/78] Loss 3.0015 [2025-03-11 01:19:38,879 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.6131 [2025-03-11 01:19:38,921 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4034 [2025-03-11 01:19:38,961 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.6024 [2025-03-11 01:19:39,011 INFO hook.py line 748 2389709] Test: [19/78] Loss 3.1376 [2025-03-11 01:19:39,047 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6695 [2025-03-11 01:19:39,086 INFO hook.py line 748 2389709] Test: [21/78] Loss 1.0900 [2025-03-11 01:19:39,132 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9348 [2025-03-11 01:19:39,169 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.9140 [2025-03-11 01:19:39,224 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.3161 [2025-03-11 01:19:39,266 INFO hook.py line 748 2389709] Test: [25/78] Loss 2.4831 [2025-03-11 01:19:39,307 INFO hook.py line 748 2389709] Test: [26/78] Loss 3.4846 [2025-03-11 01:19:39,361 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.3589 [2025-03-11 01:19:39,399 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8312 [2025-03-11 01:19:39,427 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.2916 [2025-03-11 01:19:39,577 INFO hook.py line 748 2389709] Test: [30/78] Loss 2.8862 [2025-03-11 01:19:39,635 INFO hook.py line 748 2389709] Test: [31/78] Loss 1.1322 [2025-03-11 01:19:39,675 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6448 [2025-03-11 01:19:39,733 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.8232 [2025-03-11 01:19:39,772 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.7018 [2025-03-11 01:19:39,809 INFO hook.py line 748 2389709] Test: [35/78] Loss 2.0703 [2025-03-11 01:19:39,848 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5879 [2025-03-11 01:19:39,887 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.9786 [2025-03-11 01:19:39,916 INFO hook.py line 748 2389709] Test: [38/78] Loss 1.4959 [2025-03-11 01:19:39,984 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.4333 [2025-03-11 01:19:40,034 INFO hook.py line 748 2389709] Test: [40/78] Loss 2.5052 [2025-03-11 01:19:40,080 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.8626 [2025-03-11 01:19:40,113 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.9289 [2025-03-11 01:19:40,149 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.9188 [2025-03-11 01:19:40,207 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.6025 [2025-03-11 01:19:40,241 INFO hook.py line 748 2389709] Test: [45/78] Loss 2.8552 [2025-03-11 01:19:40,289 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.3120 [2025-03-11 01:19:40,329 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.2906 [2025-03-11 01:19:40,364 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.4355 [2025-03-11 01:19:40,395 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3104 [2025-03-11 01:19:40,427 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.4217 [2025-03-11 01:19:40,459 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2976 [2025-03-11 01:19:40,494 INFO hook.py line 748 2389709] Test: [52/78] Loss 2.1154 [2025-03-11 01:19:40,524 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.5537 [2025-03-11 01:19:40,568 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.4074 [2025-03-11 01:19:40,607 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.1640 [2025-03-11 01:19:40,652 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.7767 [2025-03-11 01:19:40,688 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.8173 [2025-03-11 01:19:40,719 INFO hook.py line 748 2389709] Test: [58/78] Loss 3.0784 [2025-03-11 01:19:40,759 INFO hook.py line 748 2389709] Test: [59/78] Loss 1.3502 [2025-03-11 01:19:40,797 INFO hook.py line 748 2389709] Test: [60/78] Loss 1.0722 [2025-03-11 01:19:40,827 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.2337 [2025-03-11 01:19:40,862 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.7858 [2025-03-11 01:19:40,899 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.9796 [2025-03-11 01:19:40,959 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.5429 [2025-03-11 01:19:40,987 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1959 [2025-03-11 01:19:41,032 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.8875 [2025-03-11 01:19:41,072 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.9266 [2025-03-11 01:19:41,108 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.3295 [2025-03-11 01:19:41,139 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4899 [2025-03-11 01:19:41,199 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.3959 [2025-03-11 01:19:41,246 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8144 [2025-03-11 01:19:41,302 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9129 [2025-03-11 01:19:41,355 INFO hook.py line 748 2389709] Test: [73/78] Loss 2.5202 [2025-03-11 01:19:41,398 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.8816 [2025-03-11 01:19:41,450 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.8437 [2025-03-11 01:19:41,479 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9453 [2025-03-11 01:19:41,539 INFO hook.py line 748 2389709] Test: [77/78] Loss 1.6308 [2025-03-11 01:19:41,565 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9776 [2025-03-11 01:19:42,989 INFO hook.py line 674 2389709] ######################################## [2025-03-11 01:19:42,989 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 01:19:42,989 INFO hook.py line 680 2389709] ######################################## [2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] wall : 0.5846 0.6445 [2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] chair : 0.7069 0.8560 [2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] floor : 0.9491 0.9830 [2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] table : 0.5143 0.6378 [2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] door : 0.3366 0.5772 [2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] couch : 0.6344 0.8297 [2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] cabinet : 0.0692 0.0889 [2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] shelf : 0.3942 0.6546 [2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] desk : 0.4098 0.7263 [2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] office chair : 0.0129 0.0132 [2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] bed : 0.6918 0.7569 [2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] pillow : 0.3694 0.5530 [2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] sink : 0.4595 0.5115 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] picture : 0.2072 0.5094 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] window : 0.3473 0.7884 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] toilet : 0.8246 0.9475 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] bookshelf : 0.3302 0.4752 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] monitor : 0.6782 0.8963 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] curtain : 0.4695 0.7407 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] book : 0.3541 0.7054 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] armchair : 0.3455 0.3907 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] coffee table : 0.6155 0.8561 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] box : 0.1560 0.2173 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] refrigerator : 0.1645 0.7712 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] lamp : 0.4212 0.7254 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] kitchen cabinet: 0.3743 0.7681 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] towel : 0.1245 0.1735 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] clothes : 0.1244 0.4236 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] tv : 0.3685 0.9365 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] nightstand : 0.3104 0.7355 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] counter : 0.2038 0.3609 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] dresser : 0.1620 0.2793 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] stool : 0.2246 0.6321 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] plant : 0.4545 0.8060 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] ceiling : 0.8852 0.9412 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] bathtub : 0.8031 0.8226 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] end table : 0.0089 0.0149 [2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] keyboard : 0.1712 0.5747 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] bag : 0.0095 0.0100 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] backpack : 0.4682 0.5895 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] toilet paper : 0.2542 0.5615 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] printer : 0.1184 0.2891 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] tv stand : 0.5548 0.8714 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] whiteboard : 0.2846 0.6820 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] blanket : 0.0000 0.0000 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] shower curtain : 0.5155 0.6035 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] trash can : 0.4792 0.6590 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] closet : 0.0063 0.0066 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] stairs : 0.4268 0.5315 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] microwave : 0.1289 0.6048 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] stove : 0.2084 0.9243 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] shoe : 0.3538 0.6673 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] computer tower : 0.2704 0.8397 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] bottle : 0.0000 0.0000 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] ottoman : 0.2142 0.3239 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] bench : 0.0027 0.0027 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] board : 0.0098 0.0115 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] washing machine: 0.5152 0.8241 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] mirror : 0.1579 0.1732 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] copier : 0.3873 0.9114 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] sofa chair : 0.0000 0.0000 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] file cabinet : 0.1676 0.2746 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] fan : 0.0032 0.0032 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] laptop : 0.1634 0.1992 [2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] shower : 0.0060 0.0060 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] paper : 0.0000 0.0000 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] person : 0.0000 0.0000 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] paper towel dispenser: 0.4471 0.6131 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] blackboard : 0.2789 0.5429 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] piano : 0.0000 0.0000 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] suitcase : 0.0904 0.1125 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] rail : 0.0000 0.0000 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] radiator : 0.3815 0.6927 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] recycling bin : 0.2418 0.3482 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] wardrobe : 0.0291 0.0558 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] soap dispenser : 0.3464 0.4182 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] telephone : 0.0575 0.3645 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] bucket : 0.0063 0.0068 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] clock : 0.0000 0.0000 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] light : 0.0145 0.0207 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] laundry basket : 0.0111 0.0128 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] pipe : 0.0000 0.0000 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] clothes dryer : 0.1823 0.2143 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] guitar : 0.0000 0.0000 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] ladder : 0.0000 0.0000 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] bathroom stall : 0.0108 0.0110 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] shower wall : 0.3779 0.5488 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] cup : 0.0488 0.5938 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] jacket : 0.0588 0.1304 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] coffee maker : 0.2172 0.8095 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] dishwasher : 0.0000 0.0000 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] paper towel roll: 0.0000 0.0000 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] mat : 0.0000 0.0000 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] windowsill : 0.0134 0.0136 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] bar : 0.1720 0.5430 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] bulletin board : 0.0283 0.0327 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] fireplace : 0.0000 0.0000 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] soap dish : 0.0259 0.0269 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] kitchen counter: 0.3219 0.4653 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] doorframe : 0.1801 0.3915 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] toilet paper dispenser: 0.0000 0.0000 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] mini fridge : 0.0647 0.1380 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] ball : 0.0000 0.0000 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] shower curtain rod: 0.1290 0.6843 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] water cooler : 0.0008 0.0010 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] paper cutter : 0.0000 0.0000 [2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] shower door : 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] ledge : 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] toaster oven : 0.0016 0.0016 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] mouse : 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.0101 0.0102 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] cart : 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] scale : 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] tissue box : 0.0588 0.1445 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] decoration : 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] closet door : 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] vacuum cleaner : 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] plunger : 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] dish rack : 0.0480 0.2531 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] broom : 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] range hood : 0.3461 0.8233 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] handicap bar : 0.0000 0.0000 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] shower floor : 0.6474 0.8727 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] mailbox : 0.1703 0.2337 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] paper bag : 0.0000 0.0000 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] divider : 0.0445 0.0446 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] bathroom counter: 0.0000 0.0000 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] object : 0.0180 0.0255 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] bathroom vanity: 0.2684 0.4872 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] closet wall : 0.0336 0.0705 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] laundry hamper : 0.0012 0.0012 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] bathroom stall door: 0.1604 0.3025 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] ceiling light : 0.1668 0.5776 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] trash bin : 0.0000 0.0000 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] dumbbell : 0.0000 0.0000 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] stair rail : 0.0014 0.0014 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] tube : 0.0000 0.0000 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] bathroom cabinet: 0.0801 0.1126 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] closet rod : 0.0802 0.0815 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] shower head : 0.0000 0.0000 [2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 [2025-03-11 01:19:42,996 INFO hook.py line 690 2389709] ######################################## [2025-03-11 01:19:42,996 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.1342/0.2287/0.6955. [2025-03-11 01:19:42,996 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 01:19:43,010 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.1342 [2025-03-11 01:19:43,010 INFO misc.py line 164 2389709] Currently Best mIoU: 0.1342 [2025-03-11 01:19:43,010 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 01:20:13,572 INFO hook.py line 566 2389709] Train: [5/100][50/300] Data 0.002 (0.002) Batch 0.508 (0.502) Remain 04:00:39 loss: 1.5993 Lr: 4.70052e-03 [2025-03-11 01:20:38,618 INFO hook.py line 566 2389709] Train: [5/100][100/300] Data 0.003 (0.002) Batch 0.486 (0.502) Remain 03:59:54 loss: 1.5257 Lr: 4.80714e-03 [2025-03-11 01:21:03,339 INFO hook.py line 566 2389709] Train: [5/100][150/300] Data 0.003 (0.002) Batch 0.449 (0.499) Remain 03:58:19 loss: 1.5910 Lr: 4.89118e-03 [2025-03-11 01:21:28,192 INFO hook.py line 566 2389709] Train: [5/100][200/300] Data 0.002 (0.002) Batch 0.485 (0.499) Remain 03:57:40 loss: 1.6208 Lr: 4.95174e-03 [2025-03-11 01:21:52,611 INFO hook.py line 566 2389709] Train: [5/100][250/300] Data 0.002 (0.002) Batch 0.417 (0.497) Remain 03:56:15 loss: 1.0091 Lr: 4.98815e-03 [2025-03-11 01:22:16,112 INFO hook.py line 566 2389709] Train: [5/100][300/300] Data 0.002 (0.002) Batch 0.513 (0.492) Remain 03:53:44 loss: 1.6319 Lr: 5.00000e-03 [2025-03-11 01:22:16,112 INFO misc.py line 135 2389709] Train result: loss: 1.5604 [2025-03-11 01:22:16,242 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 01:23:11,267 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.7007 [2025-03-11 01:23:11,312 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.5174 [2025-03-11 01:23:11,345 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.8769 [2025-03-11 01:23:11,399 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5740 [2025-03-11 01:23:11,439 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.5128 [2025-03-11 01:23:11,495 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.7467 [2025-03-11 01:23:11,549 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.3625 [2025-03-11 01:23:11,583 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.6350 [2025-03-11 01:23:11,633 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.7629 [2025-03-11 01:23:11,678 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.3863 [2025-03-11 01:23:11,726 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2196 [2025-03-11 01:23:11,760 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0823 [2025-03-11 01:23:11,809 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.0235 [2025-03-11 01:23:11,848 INFO hook.py line 748 2389709] Test: [14/78] Loss 2.3454 [2025-03-11 01:23:11,884 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.5311 [2025-03-11 01:23:11,935 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.8790 [2025-03-11 01:23:11,973 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3668 [2025-03-11 01:23:12,009 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9107 [2025-03-11 01:23:12,058 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4211 [2025-03-11 01:23:12,094 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4453 [2025-03-11 01:23:12,135 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7480 [2025-03-11 01:23:12,179 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8205 [2025-03-11 01:23:12,222 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.6628 [2025-03-11 01:23:12,276 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9768 [2025-03-11 01:23:12,321 INFO hook.py line 748 2389709] Test: [25/78] Loss 2.0622 [2025-03-11 01:23:12,363 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2772 [2025-03-11 01:23:12,422 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.5030 [2025-03-11 01:23:12,462 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.9436 [2025-03-11 01:23:12,496 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9839 [2025-03-11 01:23:12,557 INFO hook.py line 748 2389709] Test: [30/78] Loss 2.0033 [2025-03-11 01:23:12,615 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.7524 [2025-03-11 01:23:12,652 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.3319 [2025-03-11 01:23:12,714 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.1236 [2025-03-11 01:23:12,753 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.0629 [2025-03-11 01:23:12,790 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1033 [2025-03-11 01:23:12,832 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5748 [2025-03-11 01:23:12,886 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.0382 [2025-03-11 01:23:12,925 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9586 [2025-03-11 01:23:12,999 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.0196 [2025-03-11 01:23:13,047 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.8964 [2025-03-11 01:23:13,092 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3007 [2025-03-11 01:23:13,125 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.6704 [2025-03-11 01:23:13,161 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3938 [2025-03-11 01:23:13,219 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.1179 [2025-03-11 01:23:13,256 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7323 [2025-03-11 01:23:13,309 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.3296 [2025-03-11 01:23:13,350 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.1274 [2025-03-11 01:23:13,385 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.3517 [2025-03-11 01:23:13,416 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4953 [2025-03-11 01:23:13,449 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.0544 [2025-03-11 01:23:13,484 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0708 [2025-03-11 01:23:13,521 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5959 [2025-03-11 01:23:13,554 INFO hook.py line 748 2389709] Test: [53/78] Loss 0.9517 [2025-03-11 01:23:13,589 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.7275 [2025-03-11 01:23:13,626 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.1842 [2025-03-11 01:23:13,668 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0735 [2025-03-11 01:23:13,701 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.6802 [2025-03-11 01:23:13,728 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.7047 [2025-03-11 01:23:13,771 INFO hook.py line 748 2389709] Test: [59/78] Loss 1.0737 [2025-03-11 01:23:13,811 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7445 [2025-03-11 01:23:13,841 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9826 [2025-03-11 01:23:13,881 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0905 [2025-03-11 01:23:13,918 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2746 [2025-03-11 01:23:13,975 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9837 [2025-03-11 01:23:14,007 INFO hook.py line 748 2389709] Test: [65/78] Loss 1.8358 [2025-03-11 01:23:14,050 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.5591 [2025-03-11 01:23:14,089 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.4470 [2025-03-11 01:23:14,130 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.2052 [2025-03-11 01:23:14,164 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.5917 [2025-03-11 01:23:14,224 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.2552 [2025-03-11 01:23:14,268 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.6473 [2025-03-11 01:23:14,326 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6260 [2025-03-11 01:23:14,383 INFO hook.py line 748 2389709] Test: [73/78] Loss 1.2959 [2025-03-11 01:23:14,426 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.6599 [2025-03-11 01:23:14,478 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.7911 [2025-03-11 01:23:14,507 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7790 [2025-03-11 01:23:14,569 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.9089 [2025-03-11 01:23:14,595 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8991 [2025-03-11 01:23:15,875 INFO hook.py line 674 2389709] ######################################## [2025-03-11 01:23:15,876 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 01:23:15,876 INFO hook.py line 680 2389709] ######################################## [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] wall : 0.7391 0.8354 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] chair : 0.6933 0.8449 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] floor : 0.9515 0.9801 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] table : 0.5576 0.7726 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] door : 0.5221 0.7415 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] couch : 0.7168 0.8333 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] cabinet : 0.1452 0.1746 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] shelf : 0.3739 0.5027 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] desk : 0.4030 0.5258 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] office chair : 0.0000 0.0000 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] bed : 0.7327 0.8054 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] pillow : 0.3949 0.4790 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] sink : 0.5273 0.7579 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] picture : 0.2981 0.4747 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] window : 0.4592 0.8148 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] toilet : 0.8663 0.9443 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] bookshelf : 0.4133 0.4829 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] monitor : 0.6436 0.9279 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] curtain : 0.5868 0.8284 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] book : 0.3910 0.7259 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] armchair : 0.4247 0.9151 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] coffee table : 0.5314 0.8864 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] box : 0.2112 0.2900 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] refrigerator : 0.4293 0.7759 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] lamp : 0.4815 0.6910 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] kitchen cabinet: 0.5313 0.8070 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] towel : 0.2720 0.4291 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] clothes : 0.1626 0.3899 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] tv : 0.5116 0.8794 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] nightstand : 0.5825 0.7264 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] counter : 0.0510 0.0597 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] dresser : 0.2639 0.3997 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] stool : 0.2133 0.7495 [2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] plant : 0.5541 0.8184 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] ceiling : 0.8970 0.9376 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] bathtub : 0.7899 0.8262 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] end table : 0.0547 0.0998 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] keyboard : 0.1287 0.6584 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] bag : 0.0115 0.0119 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] backpack : 0.4262 0.7926 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] toilet paper : 0.3407 0.5838 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] printer : 0.1934 0.5461 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] tv stand : 0.4082 0.8913 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] whiteboard : 0.4073 0.6090 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] blanket : 0.0000 0.0000 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] shower curtain : 0.5344 0.8472 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] trash can : 0.4108 0.6102 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] closet : 0.0017 0.0017 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] stairs : 0.5725 0.6098 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] microwave : 0.2090 0.6574 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] stove : 0.3851 0.8224 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] shoe : 0.3335 0.5778 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] computer tower : 0.2092 0.8808 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] bottle : 0.0015 0.0020 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] ottoman : 0.1871 0.5933 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] bench : 0.3143 0.4931 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] board : 0.0693 0.1143 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] washing machine: 0.5355 0.7518 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] mirror : 0.2493 0.3420 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] copier : 0.4525 0.8565 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] sofa chair : 0.0003 0.0003 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] file cabinet : 0.1793 0.3757 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] fan : 0.1415 0.2679 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] laptop : 0.1712 0.3186 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] shower : 0.0322 0.0325 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] paper : 0.0000 0.0000 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] person : 0.0000 0.0000 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] paper towel dispenser: 0.4607 0.7746 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] blinds : 0.0058 0.0058 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] blackboard : 0.4142 0.5817 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] piano : 0.0060 0.0093 [2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] suitcase : 0.3178 0.6240 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] rail : 0.0000 0.0000 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] radiator : 0.5417 0.6407 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] recycling bin : 0.2049 0.5745 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] wardrobe : 0.0909 0.1424 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] soap dispenser : 0.4257 0.8275 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] telephone : 0.0377 0.0527 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] bucket : 0.0091 0.0094 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] clock : 0.0670 0.0709 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] light : 0.2820 0.3931 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] laundry basket : 0.0091 0.0112 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] pipe : 0.0000 0.0000 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] clothes dryer : 0.2017 0.2179 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] guitar : 0.0082 0.0199 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] ladder : 0.0000 0.0000 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] bathroom stall : 0.1350 0.1585 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] shower wall : 0.4401 0.6587 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] cup : 0.0430 0.7116 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] jacket : 0.0251 0.0579 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] storage bin : 0.0018 0.0018 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] coffee maker : 0.1717 0.8424 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] dishwasher : 0.0000 0.0000 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] paper towel roll: 0.0000 0.0000 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] mat : 0.0179 0.0194 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] windowsill : 0.0380 0.0390 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] bar : 0.2628 0.6489 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] bulletin board : 0.1612 0.2565 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] fireplace : 0.0000 0.0000 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] soap dish : 0.1977 0.3895 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] kitchen counter: 0.4011 0.7905 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] doorframe : 0.2762 0.4326 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] toilet paper dispenser: 0.0014 0.0014 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] mini fridge : 0.1348 0.2362 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] ball : 0.0000 0.0000 [2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] shower curtain rod: 0.1311 0.8704 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] water cooler : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] paper cutter : 0.0420 0.1628 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] shower door : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] ledge : 0.0118 0.0137 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] toaster oven : 0.0160 0.0227 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] mouse : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.2067 0.2310 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] cart : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] scale : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] tissue box : 0.0747 0.1130 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] decoration : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] closet door : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] vacuum cleaner : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] plunger : 0.0871 0.7217 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] dish rack : 0.0660 0.5691 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] broom : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] range hood : 0.3820 0.8161 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] handicap bar : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] shower floor : 0.9037 0.9552 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] mailbox : 0.3722 0.4076 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] paper bag : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] divider : 0.2724 0.4819 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] bathroom counter: 0.0059 0.0061 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] object : 0.0381 0.0660 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] bathroom vanity: 0.4066 0.6062 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] closet wall : 0.0683 0.1617 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] laundry hamper : 0.0152 0.0218 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] bathroom stall door: 0.2990 0.6409 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] ceiling light : 0.1726 0.2016 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] trash bin : 0.0000 0.0000 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] dumbbell : 0.0693 0.6677 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] stair rail : 0.0750 0.0946 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] tube : 0.0000 0.0000 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] bathroom cabinet: 0.2179 0.2547 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] closet rod : 0.1490 0.8856 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] shower head : 0.0000 0.0000 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 [2025-03-11 01:23:15,880 INFO hook.py line 690 2389709] ######################################## [2025-03-11 01:23:15,880 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.1688/0.2828/0.7611. [2025-03-11 01:23:15,881 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 01:23:15,897 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.1688 [2025-03-11 01:23:15,898 INFO misc.py line 164 2389709] Currently Best mIoU: 0.1688 [2025-03-11 01:23:15,898 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 01:23:45,912 INFO hook.py line 566 2389709] Train: [6/100][50/300] Data 0.002 (0.003) Batch 0.485 (0.494) Remain 03:54:23 loss: 1.7885 Lr: 4.99996e-03 [2025-03-11 01:24:10,573 INFO hook.py line 566 2389709] Train: [6/100][100/300] Data 0.003 (0.002) Batch 0.467 (0.494) Remain 03:53:42 loss: 1.3768 Lr: 4.99985e-03 [2025-03-11 01:24:35,479 INFO hook.py line 566 2389709] Train: [6/100][150/300] Data 0.002 (0.002) Batch 0.493 (0.495) Remain 03:53:59 loss: 1.3051 Lr: 4.99965e-03 [2025-03-11 01:25:00,152 INFO hook.py line 566 2389709] Train: [6/100][200/300] Data 0.002 (0.002) Batch 0.433 (0.495) Remain 03:53:22 loss: 1.4123 Lr: 4.99939e-03 [2025-03-11 01:25:24,733 INFO hook.py line 566 2389709] Train: [6/100][250/300] Data 0.002 (0.002) Batch 0.549 (0.494) Remain 03:52:39 loss: 1.7097 Lr: 4.99904e-03 [2025-03-11 01:25:48,617 INFO hook.py line 566 2389709] Train: [6/100][300/300] Data 0.001 (0.002) Batch 0.466 (0.491) Remain 03:50:56 loss: 1.2074 Lr: 4.99862e-03 [2025-03-11 01:25:48,617 INFO misc.py line 135 2389709] Train result: loss: 1.4527 [2025-03-11 01:25:48,710 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 01:26:43,723 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6472 [2025-03-11 01:26:43,852 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.9089 [2025-03-11 01:26:43,895 INFO hook.py line 748 2389709] Test: [3/78] Loss 1.0445 [2025-03-11 01:26:43,943 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.6015 [2025-03-11 01:26:43,983 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.4149 [2025-03-11 01:26:44,041 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8780 [2025-03-11 01:26:44,100 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.1581 [2025-03-11 01:26:44,127 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3427 [2025-03-11 01:26:44,173 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.8191 [2025-03-11 01:26:44,213 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.5513 [2025-03-11 01:26:44,268 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3206 [2025-03-11 01:26:44,301 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.3360 [2025-03-11 01:26:44,353 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.6050 [2025-03-11 01:26:44,391 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.9328 [2025-03-11 01:26:44,430 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2564 [2025-03-11 01:26:44,476 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.2882 [2025-03-11 01:26:44,517 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1935 [2025-03-11 01:26:44,557 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8976 [2025-03-11 01:26:44,606 INFO hook.py line 748 2389709] Test: [19/78] Loss 1.9840 [2025-03-11 01:26:44,643 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4527 [2025-03-11 01:26:44,683 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.9338 [2025-03-11 01:26:44,729 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.0595 [2025-03-11 01:26:44,758 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.8234 [2025-03-11 01:26:44,808 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9579 [2025-03-11 01:26:44,856 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7469 [2025-03-11 01:26:44,898 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.7007 [2025-03-11 01:26:44,952 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0398 [2025-03-11 01:26:44,987 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6860 [2025-03-11 01:26:45,019 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1178 [2025-03-11 01:26:45,084 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.7891 [2025-03-11 01:26:45,144 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6631 [2025-03-11 01:26:45,196 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.3427 [2025-03-11 01:26:45,258 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.3298 [2025-03-11 01:26:45,300 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.7696 [2025-03-11 01:26:45,337 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.4026 [2025-03-11 01:26:45,374 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5038 [2025-03-11 01:26:45,419 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.7625 [2025-03-11 01:26:45,448 INFO hook.py line 748 2389709] Test: [38/78] Loss 1.2356 [2025-03-11 01:26:45,520 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.4077 [2025-03-11 01:26:45,568 INFO hook.py line 748 2389709] Test: [40/78] Loss 2.1076 [2025-03-11 01:26:45,614 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1378 [2025-03-11 01:26:45,643 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.6326 [2025-03-11 01:26:45,682 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3175 [2025-03-11 01:26:45,744 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.1171 [2025-03-11 01:26:45,789 INFO hook.py line 748 2389709] Test: [45/78] Loss 2.3604 [2025-03-11 01:26:45,839 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1400 [2025-03-11 01:26:45,877 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.0976 [2025-03-11 01:26:45,915 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.2521 [2025-03-11 01:26:45,951 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.7575 [2025-03-11 01:26:45,983 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.9907 [2025-03-11 01:26:46,014 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2762 [2025-03-11 01:26:46,048 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6959 [2025-03-11 01:26:46,076 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3811 [2025-03-11 01:26:46,110 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.9002 [2025-03-11 01:26:46,148 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.0269 [2025-03-11 01:26:46,189 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.1725 [2025-03-11 01:26:46,222 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.7630 [2025-03-11 01:26:46,247 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.3807 [2025-03-11 01:26:46,285 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9116 [2025-03-11 01:26:46,321 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5943 [2025-03-11 01:26:46,346 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.0495 [2025-03-11 01:26:46,393 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.4040 [2025-03-11 01:26:46,430 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.4195 [2025-03-11 01:26:46,487 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7547 [2025-03-11 01:26:46,515 INFO hook.py line 748 2389709] Test: [65/78] Loss 1.8662 [2025-03-11 01:26:46,558 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7056 [2025-03-11 01:26:46,598 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1878 [2025-03-11 01:26:46,646 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1605 [2025-03-11 01:26:46,679 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3354 [2025-03-11 01:26:46,740 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0751 [2025-03-11 01:26:46,783 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5404 [2025-03-11 01:26:46,838 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5552 [2025-03-11 01:26:46,891 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7913 [2025-03-11 01:26:46,934 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.8762 [2025-03-11 01:26:46,985 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5416 [2025-03-11 01:26:47,013 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9588 [2025-03-11 01:26:47,072 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6884 [2025-03-11 01:26:47,099 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.0271 [2025-03-11 01:26:48,400 INFO hook.py line 674 2389709] ######################################## [2025-03-11 01:26:48,400 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 01:26:48,400 INFO hook.py line 680 2389709] ######################################## [2025-03-11 01:26:48,400 INFO hook.py line 689 2389709] wall : 0.7079 0.8332 [2025-03-11 01:26:48,401 INFO hook.py line 689 2389709] chair : 0.7424 0.8789 [2025-03-11 01:26:48,401 INFO hook.py line 689 2389709] floor : 0.9528 0.9793 [2025-03-11 01:26:48,401 INFO hook.py line 689 2389709] table : 0.6183 0.7650 [2025-03-11 01:26:48,401 INFO hook.py line 689 2389709] door : 0.5540 0.6336 [2025-03-11 01:26:48,401 INFO hook.py line 689 2389709] couch : 0.6918 0.8827 [2025-03-11 01:26:48,401 INFO hook.py line 689 2389709] cabinet : 0.2199 0.3301 [2025-03-11 01:26:48,401 INFO hook.py line 689 2389709] shelf : 0.2715 0.4046 [2025-03-11 01:26:48,401 INFO hook.py line 689 2389709] desk : 0.4904 0.7514 [2025-03-11 01:26:48,401 INFO hook.py line 689 2389709] office chair : 0.0488 0.0518 [2025-03-11 01:26:48,401 INFO hook.py line 689 2389709] bed : 0.7372 0.8410 [2025-03-11 01:26:48,402 INFO hook.py line 689 2389709] pillow : 0.4709 0.6874 [2025-03-11 01:26:48,402 INFO hook.py line 689 2389709] sink : 0.5873 0.6747 [2025-03-11 01:26:48,402 INFO hook.py line 689 2389709] picture : 0.3240 0.4790 [2025-03-11 01:26:48,402 INFO hook.py line 689 2389709] window : 0.4483 0.5627 [2025-03-11 01:26:48,402 INFO hook.py line 689 2389709] toilet : 0.8741 0.9592 [2025-03-11 01:26:48,402 INFO hook.py line 689 2389709] bookshelf : 0.4078 0.7107 [2025-03-11 01:26:48,402 INFO hook.py line 689 2389709] monitor : 0.8044 0.8634 [2025-03-11 01:26:48,402 INFO hook.py line 689 2389709] curtain : 0.6132 0.6810 [2025-03-11 01:26:48,402 INFO hook.py line 689 2389709] book : 0.3934 0.7199 [2025-03-11 01:26:48,402 INFO hook.py line 689 2389709] armchair : 0.4512 0.5802 [2025-03-11 01:26:48,402 INFO hook.py line 689 2389709] coffee table : 0.5533 0.8972 [2025-03-11 01:26:48,403 INFO hook.py line 689 2389709] box : 0.2438 0.4227 [2025-03-11 01:26:48,403 INFO hook.py line 689 2389709] refrigerator : 0.5572 0.5966 [2025-03-11 01:26:48,403 INFO hook.py line 689 2389709] lamp : 0.5638 0.7480 [2025-03-11 01:26:48,403 INFO hook.py line 689 2389709] kitchen cabinet: 0.5659 0.7276 [2025-03-11 01:26:48,403 INFO hook.py line 689 2389709] towel : 0.2965 0.3929 [2025-03-11 01:26:48,403 INFO hook.py line 689 2389709] clothes : 0.1203 0.4973 [2025-03-11 01:26:48,403 INFO hook.py line 689 2389709] tv : 0.6679 0.8054 [2025-03-11 01:26:48,403 INFO hook.py line 689 2389709] nightstand : 0.4733 0.8552 [2025-03-11 01:26:48,403 INFO hook.py line 689 2389709] counter : 0.1959 0.4653 [2025-03-11 01:26:48,403 INFO hook.py line 689 2389709] dresser : 0.0454 0.0472 [2025-03-11 01:26:48,403 INFO hook.py line 689 2389709] stool : 0.3339 0.6461 [2025-03-11 01:26:48,404 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 01:26:48,404 INFO hook.py line 689 2389709] plant : 0.5050 0.7038 [2025-03-11 01:26:48,404 INFO hook.py line 689 2389709] ceiling : 0.9164 0.9643 [2025-03-11 01:26:48,404 INFO hook.py line 689 2389709] bathtub : 0.8210 0.8810 [2025-03-11 01:26:48,404 INFO hook.py line 689 2389709] end table : 0.0411 0.0507 [2025-03-11 01:26:48,404 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 [2025-03-11 01:26:48,404 INFO hook.py line 689 2389709] keyboard : 0.2463 0.5477 [2025-03-11 01:26:48,404 INFO hook.py line 689 2389709] bag : 0.1165 0.2417 [2025-03-11 01:26:48,404 INFO hook.py line 689 2389709] backpack : 0.4890 0.6963 [2025-03-11 01:26:48,404 INFO hook.py line 689 2389709] toilet paper : 0.3492 0.4817 [2025-03-11 01:26:48,404 INFO hook.py line 689 2389709] printer : 0.2116 0.2320 [2025-03-11 01:26:48,405 INFO hook.py line 689 2389709] tv stand : 0.4903 0.5306 [2025-03-11 01:26:48,405 INFO hook.py line 689 2389709] whiteboard : 0.1964 0.8333 [2025-03-11 01:26:48,405 INFO hook.py line 689 2389709] blanket : 0.0007 0.0008 [2025-03-11 01:26:48,405 INFO hook.py line 689 2389709] shower curtain : 0.5158 0.5944 [2025-03-11 01:26:48,405 INFO hook.py line 689 2389709] trash can : 0.5083 0.8127 [2025-03-11 01:26:48,405 INFO hook.py line 689 2389709] closet : 0.0159 0.0260 [2025-03-11 01:26:48,405 INFO hook.py line 689 2389709] stairs : 0.3339 0.3467 [2025-03-11 01:26:48,405 INFO hook.py line 689 2389709] microwave : 0.2665 0.5292 [2025-03-11 01:26:48,405 INFO hook.py line 689 2389709] stove : 0.5603 0.8129 [2025-03-11 01:26:48,405 INFO hook.py line 689 2389709] shoe : 0.3513 0.6555 [2025-03-11 01:26:48,405 INFO hook.py line 689 2389709] computer tower : 0.4355 0.7805 [2025-03-11 01:26:48,406 INFO hook.py line 689 2389709] bottle : 0.0005 0.0006 [2025-03-11 01:26:48,406 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 01:26:48,406 INFO hook.py line 689 2389709] ottoman : 0.3453 0.5909 [2025-03-11 01:26:48,406 INFO hook.py line 689 2389709] bench : 0.0419 0.0435 [2025-03-11 01:26:48,406 INFO hook.py line 689 2389709] board : 0.0819 0.2720 [2025-03-11 01:26:48,406 INFO hook.py line 689 2389709] washing machine: 0.6765 0.8400 [2025-03-11 01:26:48,406 INFO hook.py line 689 2389709] mirror : 0.3171 0.4094 [2025-03-11 01:26:48,406 INFO hook.py line 689 2389709] copier : 0.7043 0.9185 [2025-03-11 01:26:48,406 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 01:26:48,406 INFO hook.py line 689 2389709] sofa chair : 0.0000 0.0000 [2025-03-11 01:26:48,406 INFO hook.py line 689 2389709] file cabinet : 0.2813 0.3542 [2025-03-11 01:26:48,407 INFO hook.py line 689 2389709] fan : 0.1199 0.1233 [2025-03-11 01:26:48,407 INFO hook.py line 689 2389709] laptop : 0.2461 0.3750 [2025-03-11 01:26:48,407 INFO hook.py line 689 2389709] shower : 0.1352 0.1453 [2025-03-11 01:26:48,407 INFO hook.py line 689 2389709] paper : 0.0805 0.1234 [2025-03-11 01:26:48,407 INFO hook.py line 689 2389709] person : 0.0361 0.0384 [2025-03-11 01:26:48,407 INFO hook.py line 689 2389709] paper towel dispenser: 0.5020 0.7214 [2025-03-11 01:26:48,407 INFO hook.py line 689 2389709] oven : 0.0073 0.0074 [2025-03-11 01:26:48,407 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 01:26:48,407 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 01:26:48,407 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 01:26:48,407 INFO hook.py line 689 2389709] blackboard : 0.4641 0.6912 [2025-03-11 01:26:48,408 INFO hook.py line 689 2389709] piano : 0.0244 0.0252 [2025-03-11 01:26:48,408 INFO hook.py line 689 2389709] suitcase : 0.4246 0.5645 [2025-03-11 01:26:48,408 INFO hook.py line 689 2389709] rail : 0.0016 0.0016 [2025-03-11 01:26:48,408 INFO hook.py line 689 2389709] radiator : 0.4943 0.6937 [2025-03-11 01:26:48,408 INFO hook.py line 689 2389709] recycling bin : 0.2583 0.3514 [2025-03-11 01:26:48,408 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 01:26:48,408 INFO hook.py line 689 2389709] wardrobe : 0.1021 0.1258 [2025-03-11 01:26:48,408 INFO hook.py line 689 2389709] soap dispenser : 0.5910 0.8728 [2025-03-11 01:26:48,408 INFO hook.py line 689 2389709] telephone : 0.0668 0.0975 [2025-03-11 01:26:48,408 INFO hook.py line 689 2389709] bucket : 0.0074 0.0076 [2025-03-11 01:26:48,408 INFO hook.py line 689 2389709] clock : 0.1719 0.2469 [2025-03-11 01:26:48,408 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 01:26:48,409 INFO hook.py line 689 2389709] light : 0.2192 0.2733 [2025-03-11 01:26:48,409 INFO hook.py line 689 2389709] laundry basket : 0.0069 0.0083 [2025-03-11 01:26:48,409 INFO hook.py line 689 2389709] pipe : 0.0000 0.0000 [2025-03-11 01:26:48,409 INFO hook.py line 689 2389709] clothes dryer : 0.0268 0.0271 [2025-03-11 01:26:48,409 INFO hook.py line 689 2389709] guitar : 0.0045 0.0061 [2025-03-11 01:26:48,409 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 01:26:48,409 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 01:26:48,409 INFO hook.py line 689 2389709] speaker : 0.0039 0.0229 [2025-03-11 01:26:48,409 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 01:26:48,409 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 01:26:48,410 INFO hook.py line 689 2389709] ladder : 0.0140 0.0265 [2025-03-11 01:26:48,410 INFO hook.py line 689 2389709] bathroom stall : 0.2159 0.2571 [2025-03-11 01:26:48,411 INFO hook.py line 689 2389709] shower wall : 0.4638 0.6370 [2025-03-11 01:26:48,411 INFO hook.py line 689 2389709] cup : 0.0760 0.7183 [2025-03-11 01:26:48,411 INFO hook.py line 689 2389709] jacket : 0.0353 0.0514 [2025-03-11 01:26:48,411 INFO hook.py line 689 2389709] storage bin : 0.0107 0.0143 [2025-03-11 01:26:48,411 INFO hook.py line 689 2389709] coffee maker : 0.1276 0.9223 [2025-03-11 01:26:48,411 INFO hook.py line 689 2389709] dishwasher : 0.0000 0.0000 [2025-03-11 01:26:48,411 INFO hook.py line 689 2389709] paper towel roll: 0.0000 0.0000 [2025-03-11 01:26:48,412 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 01:26:48,412 INFO hook.py line 689 2389709] mat : 0.0000 0.0000 [2025-03-11 01:26:48,412 INFO hook.py line 689 2389709] windowsill : 0.1596 0.1770 [2025-03-11 01:26:48,412 INFO hook.py line 689 2389709] bar : 0.1093 0.1796 [2025-03-11 01:26:48,412 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 01:26:48,412 INFO hook.py line 689 2389709] bulletin board : 0.0127 0.0128 [2025-03-11 01:26:48,412 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 [2025-03-11 01:26:48,413 INFO hook.py line 689 2389709] fireplace : 0.0000 0.0000 [2025-03-11 01:26:48,413 INFO hook.py line 689 2389709] soap dish : 0.1400 0.4378 [2025-03-11 01:26:48,413 INFO hook.py line 689 2389709] kitchen counter: 0.4628 0.7812 [2025-03-11 01:26:48,413 INFO hook.py line 689 2389709] doorframe : 0.2632 0.5570 [2025-03-11 01:26:48,413 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2295 0.4281 [2025-03-11 01:26:48,413 INFO hook.py line 689 2389709] mini fridge : 0.2199 0.3888 [2025-03-11 01:26:48,413 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 01:26:48,413 INFO hook.py line 689 2389709] ball : 0.0985 0.1005 [2025-03-11 01:26:48,414 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 01:26:48,414 INFO hook.py line 689 2389709] shower curtain rod: 0.2505 0.6812 [2025-03-11 01:26:48,414 INFO hook.py line 689 2389709] water cooler : 0.0266 0.0378 [2025-03-11 01:26:48,414 INFO hook.py line 689 2389709] paper cutter : 0.0633 0.1317 [2025-03-11 01:26:48,414 INFO hook.py line 689 2389709] tray : 0.0010 0.0022 [2025-03-11 01:26:48,414 INFO hook.py line 689 2389709] shower door : 0.0004 0.0004 [2025-03-11 01:26:48,414 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 01:26:48,414 INFO hook.py line 689 2389709] ledge : 0.0081 0.0083 [2025-03-11 01:26:48,415 INFO hook.py line 689 2389709] toaster oven : 0.0141 0.0186 [2025-03-11 01:26:48,415 INFO hook.py line 689 2389709] mouse : 0.0000 0.0000 [2025-03-11 01:26:48,415 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.3961 0.4987 [2025-03-11 01:26:48,415 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 01:26:48,415 INFO hook.py line 689 2389709] cart : 0.0016 0.0016 [2025-03-11 01:26:48,415 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 01:26:48,415 INFO hook.py line 689 2389709] scale : 0.0039 0.0103 [2025-03-11 01:26:48,415 INFO hook.py line 689 2389709] tissue box : 0.0805 0.2261 [2025-03-11 01:26:48,415 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 [2025-03-11 01:26:48,416 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 01:26:48,416 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 01:26:48,416 INFO hook.py line 689 2389709] decoration : 0.0000 0.0000 [2025-03-11 01:26:48,416 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 01:26:48,416 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 [2025-03-11 01:26:48,416 INFO hook.py line 689 2389709] closet door : 0.0000 0.0000 [2025-03-11 01:26:48,416 INFO hook.py line 689 2389709] vacuum cleaner : 0.0002 0.0002 [2025-03-11 01:26:48,416 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 01:26:48,417 INFO hook.py line 689 2389709] plunger : 0.1685 0.7111 [2025-03-11 01:26:48,417 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 01:26:48,417 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 01:26:48,417 INFO hook.py line 689 2389709] dish rack : 0.0949 0.4460 [2025-03-11 01:26:48,417 INFO hook.py line 689 2389709] broom : 0.0000 0.0000 [2025-03-11 01:26:48,417 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 01:26:48,417 INFO hook.py line 689 2389709] range hood : 0.5524 0.6360 [2025-03-11 01:26:48,417 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 [2025-03-11 01:26:48,417 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 01:26:48,418 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 01:26:48,418 INFO hook.py line 689 2389709] handicap bar : 0.0630 0.8841 [2025-03-11 01:26:48,418 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 01:26:48,418 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 01:26:48,418 INFO hook.py line 689 2389709] shower floor : 0.3873 0.9652 [2025-03-11 01:26:48,418 INFO hook.py line 689 2389709] water pitcher : 0.0020 0.0583 [2025-03-11 01:26:48,418 INFO hook.py line 689 2389709] mailbox : 0.1332 0.1404 [2025-03-11 01:26:48,418 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 [2025-03-11 01:26:48,418 INFO hook.py line 689 2389709] paper bag : 0.0000 0.0000 [2025-03-11 01:26:48,418 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 01:26:48,418 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 01:26:48,418 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 01:26:48,419 INFO hook.py line 689 2389709] divider : 0.2015 0.2254 [2025-03-11 01:26:48,419 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 01:26:48,419 INFO hook.py line 689 2389709] bathroom counter: 0.0497 0.0563 [2025-03-11 01:26:48,419 INFO hook.py line 689 2389709] object : 0.0228 0.0333 [2025-03-11 01:26:48,419 INFO hook.py line 689 2389709] bathroom vanity: 0.4547 0.7844 [2025-03-11 01:26:48,419 INFO hook.py line 689 2389709] closet wall : 0.0611 0.0877 [2025-03-11 01:26:48,419 INFO hook.py line 689 2389709] laundry hamper : 0.0023 0.0024 [2025-03-11 01:26:48,419 INFO hook.py line 689 2389709] bathroom stall door: 0.3166 0.7516 [2025-03-11 01:26:48,419 INFO hook.py line 689 2389709] ceiling light : 0.2208 0.2969 [2025-03-11 01:26:48,419 INFO hook.py line 689 2389709] trash bin : 0.3014 0.3664 [2025-03-11 01:26:48,419 INFO hook.py line 689 2389709] dumbbell : 0.3469 0.8224 [2025-03-11 01:26:48,420 INFO hook.py line 689 2389709] stair rail : 0.0063 0.0070 [2025-03-11 01:26:48,420 INFO hook.py line 689 2389709] tube : 0.0000 0.0000 [2025-03-11 01:26:48,420 INFO hook.py line 689 2389709] bathroom cabinet: 0.2020 0.2369 [2025-03-11 01:26:48,420 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 01:26:48,420 INFO hook.py line 689 2389709] closet rod : 0.1814 0.7667 [2025-03-11 01:26:48,420 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 01:26:48,420 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 01:26:48,420 INFO hook.py line 689 2389709] shower head : 0.0000 0.0000 [2025-03-11 01:26:48,420 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 01:26:48,420 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 01:26:48,420 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 01:26:48,421 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 01:26:48,421 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 01:26:48,421 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 01:26:48,421 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 01:26:48,421 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 01:26:48,421 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 01:26:48,421 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 01:26:48,421 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 01:26:48,421 INFO hook.py line 689 2389709] mattress : 0.0005 0.0005 [2025-03-11 01:26:48,421 INFO hook.py line 690 2389709] ######################################## [2025-03-11 01:26:48,421 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.1855/0.2833/0.7593. [2025-03-11 01:26:48,422 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 01:26:48,444 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.1855 [2025-03-11 01:26:48,444 INFO misc.py line 164 2389709] Currently Best mIoU: 0.1855 [2025-03-11 01:26:48,445 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 01:27:18,954 INFO hook.py line 566 2389709] Train: [7/100][50/300] Data 0.002 (0.002) Batch 0.535 (0.489) Remain 03:49:12 loss: 1.1666 Lr: 4.99813e-03 [2025-03-11 01:27:43,036 INFO hook.py line 566 2389709] Train: [7/100][100/300] Data 0.002 (0.002) Batch 0.511 (0.485) Remain 03:47:07 loss: 1.1647 Lr: 4.99756e-03 [2025-03-11 01:28:07,253 INFO hook.py line 566 2389709] Train: [7/100][150/300] Data 0.003 (0.002) Batch 0.505 (0.485) Remain 03:46:37 loss: 1.3687 Lr: 4.99691e-03 [2025-03-11 01:28:31,764 INFO hook.py line 566 2389709] Train: [7/100][200/300] Data 0.002 (0.002) Batch 0.468 (0.486) Remain 03:46:51 loss: 1.5447 Lr: 4.99619e-03 [2025-03-11 01:28:56,409 INFO hook.py line 566 2389709] Train: [7/100][250/300] Data 0.002 (0.002) Batch 0.464 (0.488) Remain 03:47:05 loss: 1.2915 Lr: 4.99539e-03 [2025-03-11 01:29:20,640 INFO hook.py line 566 2389709] Train: [7/100][300/300] Data 0.001 (0.002) Batch 0.431 (0.487) Remain 03:46:27 loss: 1.3818 Lr: 4.99452e-03 [2025-03-11 01:29:20,641 INFO misc.py line 135 2389709] Train result: loss: 1.3770 [2025-03-11 01:29:20,734 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 01:30:09,207 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6151 [2025-03-11 01:30:09,253 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.4090 [2025-03-11 01:30:09,289 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7919 [2025-03-11 01:30:09,341 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.6959 [2025-03-11 01:30:09,375 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0199 [2025-03-11 01:30:09,439 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.7653 [2025-03-11 01:30:09,491 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.0104 [2025-03-11 01:30:09,522 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.7784 [2025-03-11 01:30:09,571 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.4876 [2025-03-11 01:30:09,608 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.5492 [2025-03-11 01:30:09,655 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2012 [2025-03-11 01:30:09,692 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0471 [2025-03-11 01:30:09,744 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.7024 [2025-03-11 01:30:09,786 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.1944 [2025-03-11 01:30:09,823 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0571 [2025-03-11 01:30:09,876 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.5594 [2025-03-11 01:30:09,916 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4950 [2025-03-11 01:30:09,952 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8485 [2025-03-11 01:30:09,996 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.0135 [2025-03-11 01:30:10,032 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.3611 [2025-03-11 01:30:10,067 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6856 [2025-03-11 01:30:10,112 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8366 [2025-03-11 01:30:10,143 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.7391 [2025-03-11 01:30:10,193 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1648 [2025-03-11 01:30:10,241 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5996 [2025-03-11 01:30:10,287 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2808 [2025-03-11 01:30:10,341 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.5330 [2025-03-11 01:30:10,376 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7987 [2025-03-11 01:30:10,408 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9449 [2025-03-11 01:30:10,471 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.7701 [2025-03-11 01:30:10,530 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.7073 [2025-03-11 01:30:10,572 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2200 [2025-03-11 01:30:10,634 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.9426 [2025-03-11 01:30:10,677 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.4181 [2025-03-11 01:30:10,716 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1848 [2025-03-11 01:30:10,756 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5251 [2025-03-11 01:30:10,804 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.6260 [2025-03-11 01:30:10,838 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8949 [2025-03-11 01:30:10,905 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.4651 [2025-03-11 01:30:10,952 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.8535 [2025-03-11 01:30:11,001 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2346 [2025-03-11 01:30:11,049 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4681 [2025-03-11 01:30:11,090 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2464 [2025-03-11 01:30:11,148 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0823 [2025-03-11 01:30:11,186 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7959 [2025-03-11 01:30:11,240 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0850 [2025-03-11 01:30:11,283 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.2516 [2025-03-11 01:30:11,317 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.2880 [2025-03-11 01:30:11,352 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.6978 [2025-03-11 01:30:11,389 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.2659 [2025-03-11 01:30:11,424 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0162 [2025-03-11 01:30:11,461 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.3988 [2025-03-11 01:30:11,493 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3095 [2025-03-11 01:30:11,532 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.1719 [2025-03-11 01:30:11,574 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.1956 [2025-03-11 01:30:11,615 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.2794 [2025-03-11 01:30:11,648 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.5016 [2025-03-11 01:30:11,675 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.4330 [2025-03-11 01:30:11,716 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7260 [2025-03-11 01:30:11,757 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4848 [2025-03-11 01:30:11,786 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.0019 [2025-03-11 01:30:11,826 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1165 [2025-03-11 01:30:11,864 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.8777 [2025-03-11 01:30:11,925 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9400 [2025-03-11 01:30:11,957 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.0503 [2025-03-11 01:30:12,000 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.6789 [2025-03-11 01:30:12,039 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0246 [2025-03-11 01:30:12,080 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.2325 [2025-03-11 01:30:12,113 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3805 [2025-03-11 01:30:12,174 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.6315 [2025-03-11 01:30:12,219 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8778 [2025-03-11 01:30:12,276 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9229 [2025-03-11 01:30:12,334 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7115 [2025-03-11 01:30:12,377 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.9961 [2025-03-11 01:30:12,428 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.3140 [2025-03-11 01:30:12,457 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9783 [2025-03-11 01:30:12,520 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.8579 [2025-03-11 01:30:12,546 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8337 [2025-03-11 01:30:13,864 INFO hook.py line 674 2389709] ######################################## [2025-03-11 01:30:13,864 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 01:30:13,864 INFO hook.py line 680 2389709] ######################################## [2025-03-11 01:30:13,864 INFO hook.py line 689 2389709] wall : 0.7570 0.8991 [2025-03-11 01:30:13,864 INFO hook.py line 689 2389709] chair : 0.6684 0.7235 [2025-03-11 01:30:13,864 INFO hook.py line 689 2389709] floor : 0.9524 0.9830 [2025-03-11 01:30:13,864 INFO hook.py line 689 2389709] table : 0.6304 0.7656 [2025-03-11 01:30:13,864 INFO hook.py line 689 2389709] door : 0.5622 0.8187 [2025-03-11 01:30:13,864 INFO hook.py line 689 2389709] couch : 0.7337 0.7946 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] cabinet : 0.1960 0.2760 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] shelf : 0.3798 0.5318 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] desk : 0.4446 0.8102 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] office chair : 0.2931 0.7260 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] bed : 0.7289 0.7928 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] pillow : 0.4226 0.5429 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] sink : 0.6065 0.7105 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] picture : 0.3080 0.4214 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] window : 0.4766 0.5900 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] toilet : 0.8689 0.9446 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] bookshelf : 0.4377 0.4963 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] monitor : 0.8221 0.8688 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] curtain : 0.6059 0.9016 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] book : 0.4366 0.7590 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] armchair : 0.5033 0.8735 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] coffee table : 0.6596 0.8816 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] box : 0.1932 0.2379 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] refrigerator : 0.5168 0.7025 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] lamp : 0.5717 0.7019 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] kitchen cabinet: 0.5771 0.7040 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] towel : 0.2637 0.6102 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] clothes : 0.1876 0.4012 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] tv : 0.7600 0.8735 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] nightstand : 0.6193 0.6893 [2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] counter : 0.2459 0.4770 [2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] dresser : 0.1681 0.2126 [2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] stool : 0.3504 0.6744 [2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] plant : 0.6137 0.9194 [2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] ceiling : 0.9096 0.9719 [2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] bathtub : 0.8271 0.8588 [2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] end table : 0.0069 0.0075 [2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 [2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] keyboard : 0.2212 0.6510 [2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] bag : 0.1624 0.3688 [2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] backpack : 0.4582 0.4993 [2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] toilet paper : 0.3712 0.5530 [2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] printer : 0.3496 0.4821 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] tv stand : 0.2797 0.9085 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] whiteboard : 0.4295 0.5166 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] blanket : 0.0014 0.0015 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] shower curtain : 0.6483 0.8727 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] trash can : 0.5195 0.6960 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] closet : 0.0022 0.0023 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] stairs : 0.2918 0.3868 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] microwave : 0.4082 0.6184 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] stove : 0.3588 0.8550 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] shoe : 0.3719 0.4973 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] computer tower : 0.3961 0.6948 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] bottle : 0.0580 0.1670 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] ottoman : 0.1316 0.1395 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] bench : 0.1697 0.1890 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] board : 0.0936 0.2168 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] washing machine: 0.0095 0.0098 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] mirror : 0.2845 0.5149 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] copier : 0.7721 0.9002 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] sofa chair : 0.0000 0.0000 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] file cabinet : 0.3070 0.3733 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] fan : 0.2689 0.3003 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] laptop : 0.2783 0.3756 [2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] shower : 0.1247 0.1546 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] paper : 0.0144 0.0172 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] person : 0.0965 0.4307 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] paper towel dispenser: 0.5326 0.6233 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] blinds : 0.0045 0.0048 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] blackboard : 0.5338 0.6741 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] piano : 0.2959 0.6083 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] suitcase : 0.4535 0.5246 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] rail : 0.0006 0.0007 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] radiator : 0.5394 0.6513 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] recycling bin : 0.3711 0.6026 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] wardrobe : 0.0665 0.0707 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] soap dispenser : 0.4798 0.9063 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] telephone : 0.1327 0.3782 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] bucket : 0.1435 0.5585 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] clock : 0.2063 0.2846 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] light : 0.1594 0.2688 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] laundry basket : 0.0507 0.0733 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] pipe : 0.0000 0.0000 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] clothes dryer : 0.2428 0.5352 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] guitar : 0.1732 0.2649 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] ladder : 0.1910 0.2595 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] bathroom stall : 0.1450 0.1566 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] shower wall : 0.4563 0.7015 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] cup : 0.1513 0.5460 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] jacket : 0.0460 0.0742 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] coffee maker : 0.2721 0.9611 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] dishwasher : 0.0000 0.0000 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] paper towel roll: 0.0212 0.0226 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] mat : 0.0025 0.0026 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] windowsill : 0.1891 0.2928 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] bar : 0.0828 0.1955 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] bulletin board : 0.1487 0.2474 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] fireplace : 0.0093 0.0093 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] soap dish : 0.2896 0.3953 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] kitchen counter: 0.4511 0.6288 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] doorframe : 0.2777 0.5950 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2426 0.3384 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] mini fridge : 0.2697 0.3445 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] ball : 0.1662 0.8817 [2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] shower curtain rod: 0.1160 0.8350 [2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] water cooler : 0.0756 0.1201 [2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] paper cutter : 0.0868 0.1954 [2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] tray : 0.0002 0.0002 [2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] shower door : 0.0088 0.0448 [2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] ledge : 0.0700 0.1143 [2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] toaster oven : 0.0034 0.0034 [2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] mouse : 0.0000 0.0000 [2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5963 0.7409 [2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] cart : 0.0087 0.0089 [2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] scale : 0.0217 0.1910 [2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] tissue box : 0.1071 0.1814 [2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 [2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] decoration : 0.0054 0.0058 [2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 [2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] closet door : 0.0000 0.0000 [2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] vacuum cleaner : 0.0336 0.0363 [2025-03-11 01:30:13,871 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 01:30:13,871 INFO hook.py line 689 2389709] plunger : 0.0720 0.6278 [2025-03-11 01:30:13,871 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 01:30:13,871 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 01:30:13,871 INFO hook.py line 689 2389709] dish rack : 0.1180 0.2657 [2025-03-11 01:30:13,871 INFO hook.py line 689 2389709] broom : 0.0173 0.0343 [2025-03-11 01:30:13,871 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 01:30:13,871 INFO hook.py line 689 2389709] range hood : 0.5781 0.9008 [2025-03-11 01:30:13,871 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 [2025-03-11 01:30:13,871 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 01:30:13,871 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 01:30:13,871 INFO hook.py line 689 2389709] handicap bar : 0.0324 0.8457 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] shower floor : 0.6893 0.9205 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] mailbox : 0.3304 0.3388 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] paper bag : 0.0000 0.0000 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] divider : 0.3666 0.4797 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] bathroom counter: 0.0707 0.0836 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] object : 0.0332 0.0531 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] bathroom vanity: 0.3937 0.7951 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] closet wall : 0.0435 0.0456 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] laundry hamper : 0.0403 0.0700 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] bathroom stall door: 0.4179 0.8687 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] ceiling light : 0.1559 0.3071 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] trash bin : 0.3357 0.5404 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] dumbbell : 0.2590 0.9408 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] stair rail : 0.2552 0.4772 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] tube : 0.0000 0.0000 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] bathroom cabinet: 0.0344 0.0348 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] closet rod : 0.2936 0.7358 [2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 01:30:13,874 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 01:30:13,874 INFO hook.py line 689 2389709] shower head : 0.0086 0.0087 [2025-03-11 01:30:13,874 INFO hook.py line 689 2389709] keyboard piano : 0.0021 0.0033 [2025-03-11 01:30:13,874 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 01:30:13,874 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 01:30:13,874 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 01:30:13,874 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 01:30:13,874 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 01:30:13,874 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 01:30:13,874 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 01:30:13,874 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 01:30:13,875 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 01:30:13,875 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 01:30:13,875 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 [2025-03-11 01:30:13,875 INFO hook.py line 690 2389709] ######################################## [2025-03-11 01:30:13,875 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2033/0.3154/0.7774. [2025-03-11 01:30:13,876 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 01:30:13,894 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2033 [2025-03-11 01:30:13,894 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2033 [2025-03-11 01:30:13,895 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 01:30:45,077 INFO hook.py line 566 2389709] Train: [8/100][50/300] Data 0.002 (0.002) Batch 0.504 (0.495) Remain 03:49:43 loss: 1.4996 Lr: 4.99357e-03 [2025-03-11 01:31:09,512 INFO hook.py line 566 2389709] Train: [8/100][100/300] Data 0.002 (0.002) Batch 0.497 (0.492) Remain 03:47:49 loss: 1.2704 Lr: 4.99254e-03 [2025-03-11 01:31:34,479 INFO hook.py line 566 2389709] Train: [8/100][150/300] Data 0.002 (0.002) Batch 0.511 (0.494) Remain 03:48:36 loss: 1.3198 Lr: 4.99144e-03 [2025-03-11 01:31:59,009 INFO hook.py line 566 2389709] Train: [8/100][200/300] Data 0.002 (0.002) Batch 0.544 (0.493) Remain 03:47:46 loss: 1.8688 Lr: 4.99026e-03 [2025-03-11 01:32:23,361 INFO hook.py line 566 2389709] Train: [8/100][250/300] Data 0.002 (0.002) Batch 0.501 (0.492) Remain 03:46:45 loss: 1.4878 Lr: 4.98901e-03 [2025-03-11 01:32:47,597 INFO hook.py line 566 2389709] Train: [8/100][300/300] Data 0.002 (0.002) Batch 0.490 (0.491) Remain 03:45:47 loss: 1.5160 Lr: 4.98768e-03 [2025-03-11 01:32:47,597 INFO misc.py line 135 2389709] Train result: loss: 1.3187 [2025-03-11 01:32:47,694 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 01:33:41,250 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.7787 [2025-03-11 01:33:41,357 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.1139 [2025-03-11 01:33:41,399 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7665 [2025-03-11 01:33:41,450 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.6855 [2025-03-11 01:33:41,490 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9811 [2025-03-11 01:33:41,548 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0238 [2025-03-11 01:33:41,603 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.2778 [2025-03-11 01:33:41,638 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.5403 [2025-03-11 01:33:41,683 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.5343 [2025-03-11 01:33:41,723 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.9293 [2025-03-11 01:33:41,771 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2909 [2025-03-11 01:33:41,808 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.4649 [2025-03-11 01:33:41,857 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.1538 [2025-03-11 01:33:41,898 INFO hook.py line 748 2389709] Test: [14/78] Loss 2.9728 [2025-03-11 01:33:41,936 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0504 [2025-03-11 01:33:41,982 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.6431 [2025-03-11 01:33:42,023 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1069 [2025-03-11 01:33:42,062 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8669 [2025-03-11 01:33:42,114 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5095 [2025-03-11 01:33:42,151 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5300 [2025-03-11 01:33:42,190 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.8056 [2025-03-11 01:33:42,239 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8986 [2025-03-11 01:33:42,275 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.7448 [2025-03-11 01:33:42,329 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.2232 [2025-03-11 01:33:42,371 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7785 [2025-03-11 01:33:42,413 INFO hook.py line 748 2389709] Test: [26/78] Loss 1.9709 [2025-03-11 01:33:42,467 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.7225 [2025-03-11 01:33:42,503 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7294 [2025-03-11 01:33:42,533 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0765 [2025-03-11 01:33:42,590 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.9499 [2025-03-11 01:33:42,653 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4785 [2025-03-11 01:33:42,694 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4805 [2025-03-11 01:33:42,752 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.9852 [2025-03-11 01:33:42,791 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.3567 [2025-03-11 01:33:42,834 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.6109 [2025-03-11 01:33:42,877 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5707 [2025-03-11 01:33:42,915 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.8532 [2025-03-11 01:33:42,950 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8977 [2025-03-11 01:33:43,016 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.0890 [2025-03-11 01:33:43,071 INFO hook.py line 748 2389709] Test: [40/78] Loss 2.2303 [2025-03-11 01:33:43,116 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2333 [2025-03-11 01:33:43,146 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.6215 [2025-03-11 01:33:43,181 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.4690 [2025-03-11 01:33:43,242 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.2231 [2025-03-11 01:33:43,275 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.9768 [2025-03-11 01:33:43,324 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0714 [2025-03-11 01:33:43,363 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.0079 [2025-03-11 01:33:43,402 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0783 [2025-03-11 01:33:43,436 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.2640 [2025-03-11 01:33:43,470 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.1173 [2025-03-11 01:33:43,500 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0979 [2025-03-11 01:33:43,539 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5130 [2025-03-11 01:33:43,566 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.5941 [2025-03-11 01:33:43,601 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.3182 [2025-03-11 01:33:43,640 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.2091 [2025-03-11 01:33:43,681 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.1459 [2025-03-11 01:33:43,719 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.6051 [2025-03-11 01:33:43,745 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.3624 [2025-03-11 01:33:43,787 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9200 [2025-03-11 01:33:43,823 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7816 [2025-03-11 01:33:43,850 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9869 [2025-03-11 01:33:43,886 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1938 [2025-03-11 01:33:43,928 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.5281 [2025-03-11 01:33:43,985 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.2121 [2025-03-11 01:33:44,014 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1388 [2025-03-11 01:33:44,057 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7118 [2025-03-11 01:33:44,100 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.2678 [2025-03-11 01:33:44,135 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.2955 [2025-03-11 01:33:44,165 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3809 [2025-03-11 01:33:44,226 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0361 [2025-03-11 01:33:44,269 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.6057 [2025-03-11 01:33:44,324 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7003 [2025-03-11 01:33:44,377 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7410 [2025-03-11 01:33:44,420 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.1502 [2025-03-11 01:33:44,471 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5151 [2025-03-11 01:33:44,499 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7940 [2025-03-11 01:33:44,558 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.8692 [2025-03-11 01:33:44,584 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.4473 [2025-03-11 01:33:45,996 INFO hook.py line 674 2389709] ######################################## [2025-03-11 01:33:45,997 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 01:33:45,997 INFO hook.py line 680 2389709] ######################################## [2025-03-11 01:33:45,997 INFO hook.py line 689 2389709] wall : 0.7333 0.8390 [2025-03-11 01:33:45,997 INFO hook.py line 689 2389709] chair : 0.7241 0.9069 [2025-03-11 01:33:45,997 INFO hook.py line 689 2389709] floor : 0.9481 0.9645 [2025-03-11 01:33:45,998 INFO hook.py line 689 2389709] table : 0.5963 0.7993 [2025-03-11 01:33:45,998 INFO hook.py line 689 2389709] door : 0.5662 0.7009 [2025-03-11 01:33:45,998 INFO hook.py line 689 2389709] couch : 0.6978 0.7474 [2025-03-11 01:33:45,998 INFO hook.py line 689 2389709] cabinet : 0.2563 0.3894 [2025-03-11 01:33:45,998 INFO hook.py line 689 2389709] shelf : 0.3388 0.7431 [2025-03-11 01:33:45,998 INFO hook.py line 689 2389709] desk : 0.4550 0.5553 [2025-03-11 01:33:45,998 INFO hook.py line 689 2389709] office chair : 0.1278 0.1545 [2025-03-11 01:33:45,998 INFO hook.py line 689 2389709] bed : 0.5576 0.8846 [2025-03-11 01:33:45,998 INFO hook.py line 689 2389709] pillow : 0.4202 0.6142 [2025-03-11 01:33:45,998 INFO hook.py line 689 2389709] sink : 0.5787 0.6993 [2025-03-11 01:33:45,998 INFO hook.py line 689 2389709] picture : 0.3024 0.3792 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] window : 0.4145 0.8651 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] toilet : 0.9037 0.9553 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] bookshelf : 0.4427 0.5432 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] monitor : 0.8124 0.8668 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] curtain : 0.6412 0.7300 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] book : 0.4181 0.7027 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] armchair : 0.4762 0.6442 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] coffee table : 0.5612 0.7365 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] box : 0.1982 0.2637 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] refrigerator : 0.5053 0.5169 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] lamp : 0.5608 0.6436 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] kitchen cabinet: 0.5780 0.6475 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] towel : 0.3509 0.3706 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] clothes : 0.1843 0.3427 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] tv : 0.7877 0.8897 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] nightstand : 0.5607 0.6468 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] counter : 0.2369 0.3660 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] dresser : 0.1651 0.3070 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] stool : 0.3885 0.6229 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] plant : 0.5568 0.6775 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] ceiling : 0.9094 0.9548 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] bathtub : 0.8266 0.9193 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] end table : 0.0480 0.0555 [2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] keyboard : 0.1914 0.6010 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] bag : 0.1300 0.2083 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] backpack : 0.5194 0.6526 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] toilet paper : 0.3556 0.4856 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] printer : 0.3346 0.5081 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] tv stand : 0.2595 0.9943 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] whiteboard : 0.3924 0.5045 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] blanket : 0.0000 0.0000 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] shower curtain : 0.6104 0.6431 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] trash can : 0.5274 0.6499 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] closet : 0.0092 0.0106 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] stairs : 0.5323 0.5486 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] microwave : 0.3096 0.5303 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] stove : 0.5063 0.9332 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] shoe : 0.3082 0.7769 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] computer tower : 0.4579 0.7309 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] bottle : 0.0588 0.1473 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] ottoman : 0.3248 0.3436 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] bench : 0.2515 0.3321 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] board : 0.0691 0.1083 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] washing machine: 0.0518 0.0531 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] mirror : 0.2501 0.3013 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] copier : 0.7741 0.8443 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] basket : 0.0327 0.0760 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] sofa chair : 0.0013 0.0013 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] file cabinet : 0.3438 0.4534 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] fan : 0.1296 0.1321 [2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] laptop : 0.2190 0.5790 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] shower : 0.1153 0.1411 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] paper : 0.0000 0.0000 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] person : 0.1383 0.1472 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] paper towel dispenser: 0.4413 0.6679 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] oven : 0.0528 0.1927 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] blackboard : 0.4158 0.7939 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] piano : 0.1500 0.2021 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] suitcase : 0.4619 0.6725 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] rail : 0.0098 0.0098 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] radiator : 0.4783 0.4989 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] recycling bin : 0.3464 0.5251 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] container : 0.0009 0.0012 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] wardrobe : 0.1744 0.3294 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] soap dispenser : 0.7373 0.8490 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] telephone : 0.1767 0.3019 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] bucket : 0.1392 0.5833 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] clock : 0.0824 0.0841 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] light : 0.0005 0.0005 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] laundry basket : 0.0071 0.0110 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] pipe : 0.0000 0.0000 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] clothes dryer : 0.3555 0.7433 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] guitar : 0.0000 0.0000 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] speaker : 0.0018 0.0090 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] ladder : 0.1379 0.2160 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] bathroom stall : 0.2423 0.2972 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] shower wall : 0.4286 0.7007 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] cup : 0.1524 0.5252 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] jacket : 0.0776 0.1401 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] storage bin : 0.0024 0.0025 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] coffee maker : 0.2533 0.2748 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] dishwasher : 0.0095 0.0100 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] paper towel roll: 0.0000 0.0000 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] mat : 0.0088 0.0089 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] windowsill : 0.1116 0.1238 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] bar : 0.1764 0.6129 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] bulletin board : 0.0413 0.0493 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] fireplace : 0.0000 0.0000 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] soap dish : 0.2515 0.3336 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] kitchen counter: 0.4492 0.6157 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] doorframe : 0.2957 0.3585 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] toilet paper dispenser: 0.1874 0.2217 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] mini fridge : 0.2369 0.2882 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] fire extinguisher: 0.0255 0.0283 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] ball : 0.7316 0.7456 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] shower curtain rod: 0.2494 0.8194 [2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] water cooler : 0.0463 0.0489 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] paper cutter : 0.0583 0.2432 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] tray : 0.0006 0.0018 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] shower door : 0.0391 0.0648 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] ledge : 0.0220 0.0246 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] toaster oven : 0.1370 0.2037 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] mouse : 0.0000 0.0000 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.4568 0.4852 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] cart : 0.1063 0.1587 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] scale : 0.1261 0.3173 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] tissue box : 0.0989 0.1292 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] decoration : 0.0165 0.0176 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] closet door : 0.0000 0.0000 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] vacuum cleaner : 0.1770 0.1788 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] plunger : 0.3472 0.6174 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] dish rack : 0.2173 0.6127 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] broom : 0.0000 0.0000 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] range hood : 0.4718 0.9127 [2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] handicap bar : 0.0936 0.8702 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] shower floor : 0.2544 0.9296 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] water pitcher : 0.0228 0.9891 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] mailbox : 0.1210 0.1225 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] paper bag : 0.0086 0.0145 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] divider : 0.3051 0.3081 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] bathroom counter: 0.1040 0.1368 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] object : 0.0157 0.0187 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] bathroom vanity: 0.4302 0.7889 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] closet wall : 0.1225 0.1719 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] laundry hamper : 0.0853 0.1375 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] bathroom stall door: 0.4943 0.7314 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] ceiling light : 0.2042 0.3330 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] trash bin : 0.2245 0.3629 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] dumbbell : 0.2003 0.9812 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] stair rail : 0.0016 0.0016 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] tube : 0.0000 0.0000 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] bathroom cabinet: 0.0145 0.0145 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] closet rod : 0.3563 0.9011 [2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] coffee kettle : 0.0742 0.1288 [2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] shower head : 0.2348 0.3126 [2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] keyboard piano : 0.0057 0.0067 [2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] case of water bottles: 0.2512 0.3112 [2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 [2025-03-11 01:33:46,005 INFO hook.py line 690 2389709] ######################################## [2025-03-11 01:33:46,005 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2054/0.3076/0.7654. [2025-03-11 01:33:46,006 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 01:33:46,025 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2054 [2025-03-11 01:33:46,026 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2054 [2025-03-11 01:33:46,026 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 01:34:16,570 INFO hook.py line 566 2389709] Train: [9/100][50/300] Data 0.002 (0.002) Batch 0.561 (0.497) Remain 03:48:02 loss: 1.5296 Lr: 4.98628e-03 [2025-03-11 01:34:41,504 INFO hook.py line 566 2389709] Train: [9/100][100/300] Data 0.002 (0.002) Batch 0.465 (0.498) Remain 03:48:06 loss: 1.1644 Lr: 4.98480e-03 [2025-03-11 01:35:05,947 INFO hook.py line 566 2389709] Train: [9/100][150/300] Data 0.004 (0.002) Batch 0.478 (0.495) Remain 03:46:19 loss: 1.3519 Lr: 4.98324e-03 [2025-03-11 01:35:30,039 INFO hook.py line 566 2389709] Train: [9/100][200/300] Data 0.002 (0.002) Batch 0.453 (0.491) Remain 03:44:25 loss: 1.6553 Lr: 4.98161e-03 [2025-03-11 01:35:54,842 INFO hook.py line 566 2389709] Train: [9/100][250/300] Data 0.002 (0.002) Batch 0.516 (0.492) Remain 03:44:26 loss: 1.1173 Lr: 4.97991e-03 [2025-03-11 01:36:18,517 INFO hook.py line 566 2389709] Train: [9/100][300/300] Data 0.002 (0.002) Batch 0.436 (0.489) Remain 03:42:34 loss: 1.0700 Lr: 4.97813e-03 [2025-03-11 01:36:18,517 INFO misc.py line 135 2389709] Train result: loss: 1.2737 [2025-03-11 01:36:18,616 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 01:37:07,716 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6236 [2025-03-11 01:37:07,790 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.1572 [2025-03-11 01:37:07,830 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6696 [2025-03-11 01:37:07,890 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5879 [2025-03-11 01:37:07,928 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0068 [2025-03-11 01:37:07,983 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.6742 [2025-03-11 01:37:08,036 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.0466 [2025-03-11 01:37:08,064 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4143 [2025-03-11 01:37:08,113 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.4964 [2025-03-11 01:37:08,149 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.4994 [2025-03-11 01:37:08,196 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1742 [2025-03-11 01:37:08,234 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2391 [2025-03-11 01:37:08,284 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.9432 [2025-03-11 01:37:08,334 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.0049 [2025-03-11 01:37:08,373 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1632 [2025-03-11 01:37:08,425 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.3198 [2025-03-11 01:37:08,468 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1640 [2025-03-11 01:37:08,518 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8108 [2025-03-11 01:37:08,565 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4556 [2025-03-11 01:37:08,601 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4968 [2025-03-11 01:37:08,636 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7281 [2025-03-11 01:37:08,681 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7751 [2025-03-11 01:37:08,713 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5036 [2025-03-11 01:37:08,771 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1420 [2025-03-11 01:37:08,826 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.8117 [2025-03-11 01:37:08,868 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.0984 [2025-03-11 01:37:08,925 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6597 [2025-03-11 01:37:08,972 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7052 [2025-03-11 01:37:09,018 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9613 [2025-03-11 01:37:09,077 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.4484 [2025-03-11 01:37:09,135 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6732 [2025-03-11 01:37:09,173 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2352 [2025-03-11 01:37:09,235 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.1496 [2025-03-11 01:37:09,285 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.9101 [2025-03-11 01:37:09,322 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.4254 [2025-03-11 01:37:09,361 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3931 [2025-03-11 01:37:09,403 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.4689 [2025-03-11 01:37:09,435 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8762 [2025-03-11 01:37:09,506 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.3454 [2025-03-11 01:37:09,555 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.7769 [2025-03-11 01:37:09,612 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2129 [2025-03-11 01:37:09,645 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5998 [2025-03-11 01:37:09,682 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2480 [2025-03-11 01:37:09,742 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9783 [2025-03-11 01:37:09,777 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4521 [2025-03-11 01:37:09,826 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0437 [2025-03-11 01:37:09,869 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.6656 [2025-03-11 01:37:09,903 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0284 [2025-03-11 01:37:09,935 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.1679 [2025-03-11 01:37:09,968 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.7540 [2025-03-11 01:37:10,002 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.7997 [2025-03-11 01:37:10,039 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6396 [2025-03-11 01:37:10,071 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4568 [2025-03-11 01:37:10,110 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.3756 [2025-03-11 01:37:10,148 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.0467 [2025-03-11 01:37:10,193 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.1597 [2025-03-11 01:37:10,227 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.7636 [2025-03-11 01:37:10,255 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.4068 [2025-03-11 01:37:10,296 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9496 [2025-03-11 01:37:10,332 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4192 [2025-03-11 01:37:10,359 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.0929 [2025-03-11 01:37:10,394 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1882 [2025-03-11 01:37:10,432 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1850 [2025-03-11 01:37:10,492 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6317 [2025-03-11 01:37:10,519 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2539 [2025-03-11 01:37:10,562 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.5706 [2025-03-11 01:37:10,603 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.3740 [2025-03-11 01:37:10,638 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.6035 [2025-03-11 01:37:10,669 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4168 [2025-03-11 01:37:10,731 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.8531 [2025-03-11 01:37:10,778 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.6210 [2025-03-11 01:37:10,832 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.4655 [2025-03-11 01:37:10,886 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7425 [2025-03-11 01:37:10,930 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.5449 [2025-03-11 01:37:10,981 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5743 [2025-03-11 01:37:11,010 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.6967 [2025-03-11 01:37:11,070 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6406 [2025-03-11 01:37:11,096 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9432 [2025-03-11 01:37:12,329 INFO hook.py line 674 2389709] ######################################## [2025-03-11 01:37:12,330 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 01:37:12,330 INFO hook.py line 680 2389709] ######################################## [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] wall : 0.7646 0.8645 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] chair : 0.7350 0.9294 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] floor : 0.9527 0.9803 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] table : 0.5772 0.8249 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] door : 0.6207 0.7759 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] couch : 0.7464 0.8690 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] cabinet : 0.3104 0.4969 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] shelf : 0.2996 0.4112 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] desk : 0.4516 0.5904 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] office chair : 0.0001 0.0001 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] bed : 0.7185 0.8236 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] pillow : 0.4730 0.7101 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] sink : 0.6245 0.7778 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] picture : 0.3062 0.3994 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] window : 0.5448 0.7885 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] toilet : 0.9101 0.9566 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] bookshelf : 0.4538 0.6507 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] monitor : 0.8104 0.8654 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] curtain : 0.5923 0.8273 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] book : 0.3947 0.7891 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] armchair : 0.2725 0.2900 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] coffee table : 0.6293 0.8957 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] box : 0.2775 0.3857 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] refrigerator : 0.6201 0.7146 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] lamp : 0.6063 0.7355 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] kitchen cabinet: 0.6274 0.7989 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] towel : 0.3793 0.5083 [2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] clothes : 0.2226 0.3584 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] tv : 0.7655 0.8827 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] nightstand : 0.6274 0.7722 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] counter : 0.2649 0.4749 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] dresser : 0.3653 0.5294 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] stool : 0.3233 0.6998 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] plant : 0.6988 0.8158 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] ceiling : 0.9146 0.9717 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] bathtub : 0.8190 0.8881 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] end table : 0.0594 0.0651 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] keyboard : 0.3409 0.5933 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] bag : 0.1132 0.1185 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] backpack : 0.5515 0.6419 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] toilet paper : 0.3789 0.4552 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] printer : 0.3195 0.4157 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] tv stand : 0.5362 0.7441 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] whiteboard : 0.4848 0.6922 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] blanket : 0.0032 0.0034 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] shower curtain : 0.5920 0.7962 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] trash can : 0.6080 0.7394 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] closet : 0.0171 0.0183 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] stairs : 0.5749 0.5881 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] microwave : 0.4182 0.6507 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] stove : 0.4174 0.9024 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] shoe : 0.4069 0.5609 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] computer tower : 0.3451 0.6897 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] bottle : 0.0913 0.1414 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] ottoman : 0.3143 0.5632 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] bench : 0.3383 0.4790 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] board : 0.0698 0.1427 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] washing machine: 0.6393 0.8779 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] mirror : 0.3504 0.4223 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] copier : 0.7793 0.8495 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] sofa chair : 0.1385 0.3700 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] file cabinet : 0.3281 0.3985 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] fan : 0.3144 0.4649 [2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] laptop : 0.3810 0.4855 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] shower : 0.1129 0.1242 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] paper : 0.0633 0.1497 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] person : 0.0655 0.2291 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] paper towel dispenser: 0.4222 0.5311 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] oven : 0.0414 0.0471 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] blinds : 0.0034 0.0035 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] plate : 0.0036 0.0208 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] blackboard : 0.3959 0.4094 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] piano : 0.1531 0.6940 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] suitcase : 0.3994 0.6457 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] rail : 0.0014 0.0014 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] radiator : 0.5654 0.6482 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] recycling bin : 0.4408 0.5139 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] wardrobe : 0.1096 0.1398 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] soap dispenser : 0.5878 0.8199 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] telephone : 0.1478 0.4847 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] bucket : 0.2751 0.6014 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] clock : 0.1648 0.2466 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] light : 0.0626 0.0842 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] laundry basket : 0.2283 0.2657 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] pipe : 0.0186 0.0256 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] clothes dryer : 0.3169 0.3247 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] guitar : 0.0000 0.0000 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] ladder : 0.3195 0.4450 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] bathroom stall : 0.3731 0.5965 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] shower wall : 0.5191 0.6698 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] cup : 0.2075 0.4083 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] jacket : 0.0764 0.3074 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] storage bin : 0.0348 0.0609 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] coffee maker : 0.7002 0.9292 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] dishwasher : 0.0575 0.0957 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] paper towel roll: 0.1540 0.2580 [2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] mat : 0.0686 0.1199 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] windowsill : 0.1134 0.1190 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] bar : 0.0837 0.1925 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] bulletin board : 0.0812 0.1137 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] fireplace : 0.1873 0.1976 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] soap dish : 0.2633 0.3338 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] kitchen counter: 0.4788 0.6345 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] doorframe : 0.3028 0.4014 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2498 0.4806 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] mini fridge : 0.3123 0.3638 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] ball : 0.0599 0.9407 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] shower curtain rod: 0.2840 0.6929 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] water cooler : 0.1004 0.1008 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] paper cutter : 0.2045 0.2418 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] tray : 0.0015 0.0025 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] shower door : 0.0175 0.0351 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] ledge : 0.0267 0.0284 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] toaster oven : 0.2039 0.2899 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] mouse : 0.0000 0.0000 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6791 0.8704 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] cart : 0.0937 0.1829 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] scale : 0.0487 0.2587 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] tissue box : 0.0753 0.1887 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] decoration : 0.0408 0.0656 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] closet door : 0.0385 0.0391 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] vacuum cleaner : 0.1151 0.1238 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] plunger : 0.1454 0.9357 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] dish rack : 0.2497 0.7571 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] broom : 0.0081 0.0213 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] range hood : 0.7237 0.8707 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] dustpan : 0.0089 0.0114 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] handicap bar : 0.0420 0.8088 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] shower floor : 0.3013 0.9989 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] water pitcher : 0.4699 0.8643 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] mailbox : 0.4387 0.5080 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] bowl : 0.0319 0.0665 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] paper bag : 0.0190 0.0222 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] projector screen: 0.0005 0.0006 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] divider : 0.3545 0.5720 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] laundry detergent: 0.0868 0.1137 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] bathroom counter: 0.0556 0.0671 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] object : 0.0347 0.0519 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] bathroom vanity: 0.2959 0.3735 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] closet wall : 0.1378 0.2144 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] laundry hamper : 0.0171 0.0195 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] bathroom stall door: 0.3508 0.8666 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] ceiling light : 0.2159 0.4617 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] trash bin : 0.2522 0.3082 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] dumbbell : 0.0527 0.9781 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] stair rail : 0.0344 0.0411 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] tube : 0.0000 0.0000 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] bathroom cabinet: 0.3080 0.6211 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] closet rod : 0.6553 0.7210 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] shower head : 0.2765 0.3451 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] keyboard piano : 0.0039 0.0081 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] case of water bottles: 0.2142 0.3345 [2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 01:37:12,335 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 01:37:12,335 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 01:37:12,335 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 01:37:12,335 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 01:37:12,335 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 01:37:12,335 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 01:37:12,335 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 01:37:12,335 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 01:37:12,335 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 [2025-03-11 01:37:12,335 INFO hook.py line 690 2389709] ######################################## [2025-03-11 01:37:12,335 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2328/0.3434/0.7897. [2025-03-11 01:37:12,335 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 01:37:12,338 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2328 [2025-03-11 01:37:12,339 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2328 [2025-03-11 01:37:12,339 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 01:37:43,154 INFO hook.py line 566 2389709] Train: [10/100][50/300] Data 0.002 (0.003) Batch 0.457 (0.496) Remain 03:45:15 loss: 1.2324 Lr: 4.97627e-03 [2025-03-11 01:38:07,704 INFO hook.py line 566 2389709] Train: [10/100][100/300] Data 0.002 (0.003) Batch 0.467 (0.493) Remain 03:43:40 loss: 1.3334 Lr: 4.97434e-03 [2025-03-11 01:38:32,075 INFO hook.py line 566 2389709] Train: [10/100][150/300] Data 0.002 (0.002) Batch 0.446 (0.491) Remain 03:42:20 loss: 1.3411 Lr: 4.97233e-03 [2025-03-11 01:38:56,838 INFO hook.py line 566 2389709] Train: [10/100][200/300] Data 0.002 (0.002) Batch 0.495 (0.492) Remain 03:42:22 loss: 1.2329 Lr: 4.97025e-03 [2025-03-11 01:39:21,699 INFO hook.py line 566 2389709] Train: [10/100][250/300] Data 0.002 (0.002) Batch 0.489 (0.493) Remain 03:42:24 loss: 0.8953 Lr: 4.96809e-03 [2025-03-11 01:39:46,119 INFO hook.py line 566 2389709] Train: [10/100][300/300] Data 0.002 (0.002) Batch 0.485 (0.493) Remain 03:41:37 loss: 0.9795 Lr: 4.96586e-03 [2025-03-11 01:39:46,120 INFO misc.py line 135 2389709] Train result: loss: 1.2346 [2025-03-11 01:39:46,215 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 01:40:35,435 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6767 [2025-03-11 01:40:35,482 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3928 [2025-03-11 01:40:35,518 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.8604 [2025-03-11 01:40:35,570 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5518 [2025-03-11 01:40:35,610 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.1395 [2025-03-11 01:40:35,667 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8270 [2025-03-11 01:40:35,730 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9475 [2025-03-11 01:40:35,763 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.5264 [2025-03-11 01:40:35,814 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1114 [2025-03-11 01:40:35,850 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2684 [2025-03-11 01:40:35,897 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2523 [2025-03-11 01:40:35,934 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.9822 [2025-03-11 01:40:35,985 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.6624 [2025-03-11 01:40:36,029 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.5739 [2025-03-11 01:40:36,075 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.7737 [2025-03-11 01:40:36,126 INFO hook.py line 748 2389709] Test: [16/78] Loss 1.2628 [2025-03-11 01:40:36,165 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.0509 [2025-03-11 01:40:36,207 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.6072 [2025-03-11 01:40:36,257 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.0877 [2025-03-11 01:40:36,298 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.1607 [2025-03-11 01:40:36,334 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6691 [2025-03-11 01:40:36,374 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9028 [2025-03-11 01:40:36,409 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.6128 [2025-03-11 01:40:36,469 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1337 [2025-03-11 01:40:36,512 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.9706 [2025-03-11 01:40:36,558 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5236 [2025-03-11 01:40:36,616 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8246 [2025-03-11 01:40:36,655 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7406 [2025-03-11 01:40:36,685 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1191 [2025-03-11 01:40:36,742 INFO hook.py line 748 2389709] Test: [30/78] Loss 2.4299 [2025-03-11 01:40:36,801 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.8009 [2025-03-11 01:40:36,838 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1166 [2025-03-11 01:40:36,895 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8427 [2025-03-11 01:40:36,938 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.8544 [2025-03-11 01:40:36,979 INFO hook.py line 748 2389709] Test: [35/78] Loss 0.8726 [2025-03-11 01:40:37,021 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2667 [2025-03-11 01:40:37,063 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.4053 [2025-03-11 01:40:37,095 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7972 [2025-03-11 01:40:37,165 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.4085 [2025-03-11 01:40:37,212 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6422 [2025-03-11 01:40:37,261 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1925 [2025-03-11 01:40:37,299 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4686 [2025-03-11 01:40:37,345 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.5615 [2025-03-11 01:40:37,407 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9920 [2025-03-11 01:40:37,446 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.5303 [2025-03-11 01:40:37,501 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1103 [2025-03-11 01:40:37,543 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8363 [2025-03-11 01:40:37,578 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1904 [2025-03-11 01:40:37,614 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.0753 [2025-03-11 01:40:37,647 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.0953 [2025-03-11 01:40:37,682 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.8177 [2025-03-11 01:40:37,719 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.3658 [2025-03-11 01:40:37,751 INFO hook.py line 748 2389709] Test: [53/78] Loss 0.8507 [2025-03-11 01:40:37,787 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8682 [2025-03-11 01:40:37,825 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4555 [2025-03-11 01:40:37,866 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.7381 [2025-03-11 01:40:37,899 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.8156 [2025-03-11 01:40:37,925 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.3739 [2025-03-11 01:40:37,966 INFO hook.py line 748 2389709] Test: [59/78] Loss 1.0119 [2025-03-11 01:40:38,008 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.3950 [2025-03-11 01:40:38,037 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.0846 [2025-03-11 01:40:38,077 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0528 [2025-03-11 01:40:38,114 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0825 [2025-03-11 01:40:38,172 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6489 [2025-03-11 01:40:38,204 INFO hook.py line 748 2389709] Test: [65/78] Loss 1.8974 [2025-03-11 01:40:38,247 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.8511 [2025-03-11 01:40:38,287 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.2562 [2025-03-11 01:40:38,328 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0377 [2025-03-11 01:40:38,361 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3788 [2025-03-11 01:40:38,422 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7314 [2025-03-11 01:40:38,466 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5307 [2025-03-11 01:40:38,526 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6482 [2025-03-11 01:40:38,584 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7731 [2025-03-11 01:40:38,627 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.8021 [2025-03-11 01:40:38,679 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.3942 [2025-03-11 01:40:38,708 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9296 [2025-03-11 01:40:38,770 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6662 [2025-03-11 01:40:38,797 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9376 [2025-03-11 01:40:40,207 INFO hook.py line 674 2389709] ######################################## [2025-03-11 01:40:40,207 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 01:40:40,207 INFO hook.py line 680 2389709] ######################################## [2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] wall : 0.7717 0.9108 [2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] chair : 0.7202 0.8360 [2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] floor : 0.9497 0.9842 [2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] table : 0.6223 0.8341 [2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] door : 0.6424 0.7832 [2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] couch : 0.7069 0.9078 [2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] cabinet : 0.3008 0.5701 [2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] shelf : 0.2222 0.2515 [2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] desk : 0.4458 0.5251 [2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] office chair : 0.2527 0.3964 [2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] bed : 0.7417 0.8912 [2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] pillow : 0.4499 0.5875 [2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] sink : 0.6230 0.7433 [2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] picture : 0.3322 0.4582 [2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] window : 0.5294 0.6300 [2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] toilet : 0.8841 0.9525 [2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] bookshelf : 0.4685 0.8452 [2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] monitor : 0.8256 0.8480 [2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] curtain : 0.6099 0.8611 [2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] book : 0.3442 0.4756 [2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] armchair : 0.4777 0.6252 [2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] coffee table : 0.6522 0.8447 [2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] box : 0.3199 0.4702 [2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] refrigerator : 0.6610 0.7291 [2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] lamp : 0.5755 0.7383 [2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] kitchen cabinet: 0.5923 0.6877 [2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] towel : 0.4007 0.5357 [2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] clothes : 0.1798 0.4320 [2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] tv : 0.7967 0.8420 [2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] nightstand : 0.5816 0.7940 [2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] counter : 0.1750 0.2247 [2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] dresser : 0.2029 0.2448 [2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] stool : 0.3407 0.7534 [2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] plant : 0.6694 0.7898 [2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] ceiling : 0.9149 0.9536 [2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] bathtub : 0.8233 0.8997 [2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] end table : 0.1568 0.2051 [2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 [2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] keyboard : 0.3410 0.4632 [2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] bag : 0.1066 0.1779 [2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] backpack : 0.5379 0.7421 [2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] toilet paper : 0.3730 0.4250 [2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] printer : 0.3336 0.4891 [2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] tv stand : 0.5205 0.9019 [2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] whiteboard : 0.4729 0.6216 [2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] blanket : 0.0062 0.0108 [2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] shower curtain : 0.5629 0.6608 [2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] trash can : 0.6028 0.7732 [2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] closet : 0.0033 0.0037 [2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] stairs : 0.4249 0.7209 [2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] microwave : 0.4757 0.6186 [2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] stove : 0.5792 0.8602 [2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] shoe : 0.3224 0.7297 [2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] computer tower : 0.4661 0.7293 [2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] bottle : 0.1361 0.1891 [2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] ottoman : 0.3196 0.4469 [2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] bench : 0.1512 0.1598 [2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] board : 0.0892 0.1445 [2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] washing machine: 0.7121 0.9231 [2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] mirror : 0.3463 0.5292 [2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] copier : 0.7153 0.9121 [2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] sofa chair : 0.0003 0.0003 [2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] file cabinet : 0.2888 0.6617 [2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] fan : 0.3360 0.4740 [2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] laptop : 0.4309 0.5586 [2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] shower : 0.2629 0.3068 [2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] paper : 0.0235 0.0327 [2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] person : 0.1180 0.3219 [2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] paper towel dispenser: 0.5672 0.6712 [2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 [2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] plate : 0.0046 0.0521 [2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] blackboard : 0.5210 0.5529 [2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] piano : 0.0698 0.0868 [2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] suitcase : 0.4968 0.6448 [2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] rail : 0.0023 0.0023 [2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] radiator : 0.5332 0.6736 [2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] recycling bin : 0.2195 0.2256 [2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] wardrobe : 0.1222 0.1247 [2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] soap dispenser : 0.7731 0.8253 [2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] telephone : 0.1640 0.2616 [2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] bucket : 0.0896 0.2062 [2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] clock : 0.1696 0.2077 [2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] light : 0.1270 0.1695 [2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] laundry basket : 0.0434 0.0493 [2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] pipe : 0.0263 0.0293 [2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] clothes dryer : 0.3174 0.3298 [2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] guitar : 0.0711 0.0899 [2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] ladder : 0.4074 0.4293 [2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] bathroom stall : 0.1028 0.1054 [2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] shower wall : 0.4882 0.7067 [2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] cup : 0.2455 0.5242 [2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] jacket : 0.1718 0.2501 [2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] storage bin : 0.0153 0.0222 [2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] coffee maker : 0.4556 0.9242 [2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] dishwasher : 0.0361 0.0421 [2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] paper towel roll: 0.1975 0.2067 [2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] mat : 0.0805 0.0933 [2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] windowsill : 0.1029 0.1166 [2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] bar : 0.1149 0.2135 [2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] bulletin board : 0.2231 0.3688 [2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 [2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] fireplace : 0.0783 0.0789 [2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] soap dish : 0.2921 0.3753 [2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] kitchen counter: 0.4997 0.7889 [2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] doorframe : 0.3210 0.4542 [2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3048 0.5715 [2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] mini fridge : 0.3195 0.4729 [2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] fire extinguisher: 0.0336 0.0942 [2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] ball : 0.3914 0.8537 [2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] shower curtain rod: 0.1868 0.9139 [2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] water cooler : 0.3427 0.6380 [2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] paper cutter : 0.1830 0.2324 [2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] tray : 0.0026 0.0055 [2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] shower door : 0.0050 0.0061 [2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] ledge : 0.0185 0.0234 [2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] toaster oven : 0.0928 0.1009 [2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] mouse : 0.0000 0.0000 [2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.3185 0.3341 [2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] cart : 0.0072 0.0072 [2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] scale : 0.1052 0.7140 [2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] tissue box : 0.0607 0.0685 [2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 [2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] decoration : 0.0000 0.0000 [2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 [2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] closet door : 0.0086 0.0087 [2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] vacuum cleaner : 0.4443 0.5831 [2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] plunger : 0.1619 0.8946 [2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] dish rack : 0.5674 0.8831 [2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] broom : 0.0380 0.1465 [2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] range hood : 0.6072 0.9130 [2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 [2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] handicap bar : 0.0467 0.7000 [2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] shower floor : 0.6267 0.9296 [2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] mailbox : 0.3631 0.3637 [2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] bowl : 0.0494 0.1152 [2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] paper bag : 0.0158 0.0356 [2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] divider : 0.3540 0.5036 [2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] laundry detergent: 0.0710 0.0712 [2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] bathroom counter: 0.0681 0.0743 [2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] object : 0.0179 0.0234 [2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] bathroom vanity: 0.4352 0.8661 [2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] closet wall : 0.0350 0.0543 [2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] laundry hamper : 0.1447 0.1891 [2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] bathroom stall door: 0.4807 0.6383 [2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] ceiling light : 0.2397 0.4224 [2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] trash bin : 0.3199 0.4286 [2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] dumbbell : 0.3590 0.9439 [2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] stair rail : 0.1586 0.2260 [2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] tube : 0.0000 0.0000 [2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] bathroom cabinet: 0.0153 0.0155 [2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] closet rod : 0.2297 0.7402 [2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] shower head : 0.1600 0.3406 [2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] case of water bottles: 0.1735 0.1855 [2025-03-11 01:40:40,216 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 01:40:40,216 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 01:40:40,216 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 01:40:40,216 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 01:40:40,216 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 01:40:40,216 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 01:40:40,216 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 01:40:40,216 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 01:40:40,216 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 01:40:40,216 INFO hook.py line 689 2389709] mattress : 0.0020 0.0020 [2025-03-11 01:40:40,216 INFO hook.py line 690 2389709] ######################################## [2025-03-11 01:40:40,216 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2337/0.3344/0.7948. [2025-03-11 01:40:40,217 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 01:40:40,237 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2337 [2025-03-11 01:40:40,238 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2337 [2025-03-11 01:40:40,238 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 01:41:11,273 INFO hook.py line 566 2389709] Train: [11/100][50/300] Data 0.003 (0.002) Batch 0.482 (0.509) Remain 03:48:25 loss: 1.0271 Lr: 4.96355e-03 [2025-03-11 01:41:36,171 INFO hook.py line 566 2389709] Train: [11/100][100/300] Data 0.002 (0.002) Batch 0.533 (0.503) Remain 03:45:33 loss: 0.8853 Lr: 4.96117e-03 [2025-03-11 01:42:00,575 INFO hook.py line 566 2389709] Train: [11/100][150/300] Data 0.003 (0.002) Batch 0.548 (0.498) Remain 03:42:51 loss: 1.2229 Lr: 4.95872e-03 [2025-03-11 01:42:24,850 INFO hook.py line 566 2389709] Train: [11/100][200/300] Data 0.002 (0.002) Batch 0.476 (0.495) Remain 03:41:01 loss: 1.1371 Lr: 4.95619e-03 [2025-03-11 01:42:49,551 INFO hook.py line 566 2389709] Train: [11/100][250/300] Data 0.002 (0.002) Batch 0.487 (0.495) Remain 03:40:31 loss: 1.2560 Lr: 4.95358e-03 [2025-03-11 01:43:13,629 INFO hook.py line 566 2389709] Train: [11/100][300/300] Data 0.001 (0.002) Batch 0.466 (0.492) Remain 03:39:08 loss: 0.9371 Lr: 4.95090e-03 [2025-03-11 01:43:13,629 INFO misc.py line 135 2389709] Train result: loss: 1.1872 [2025-03-11 01:43:13,721 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 01:44:09,269 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6413 [2025-03-11 01:44:09,319 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2222 [2025-03-11 01:44:09,366 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5932 [2025-03-11 01:44:09,419 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5524 [2025-03-11 01:44:09,458 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9527 [2025-03-11 01:44:09,517 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.9465 [2025-03-11 01:44:09,569 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9282 [2025-03-11 01:44:09,602 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.7861 [2025-03-11 01:44:09,649 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.4951 [2025-03-11 01:44:09,685 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1186 [2025-03-11 01:44:09,732 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1394 [2025-03-11 01:44:09,769 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.7042 [2025-03-11 01:44:09,817 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.1634 [2025-03-11 01:44:09,859 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.0456 [2025-03-11 01:44:09,896 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.9237 [2025-03-11 01:44:09,945 INFO hook.py line 748 2389709] Test: [16/78] Loss 1.4486 [2025-03-11 01:44:09,982 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.0465 [2025-03-11 01:44:10,024 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.7681 [2025-03-11 01:44:10,080 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.1198 [2025-03-11 01:44:10,117 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4085 [2025-03-11 01:44:10,151 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6533 [2025-03-11 01:44:10,192 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6114 [2025-03-11 01:44:10,227 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.6555 [2025-03-11 01:44:10,280 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0740 [2025-03-11 01:44:10,327 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4612 [2025-03-11 01:44:10,371 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4917 [2025-03-11 01:44:10,428 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6552 [2025-03-11 01:44:10,471 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7976 [2025-03-11 01:44:10,501 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.8682 [2025-03-11 01:44:10,565 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.6671 [2025-03-11 01:44:10,623 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6288 [2025-03-11 01:44:10,663 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1530 [2025-03-11 01:44:10,721 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.6593 [2025-03-11 01:44:10,765 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.6704 [2025-03-11 01:44:10,805 INFO hook.py line 748 2389709] Test: [35/78] Loss 0.8948 [2025-03-11 01:44:10,848 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.1246 [2025-03-11 01:44:10,886 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.8150 [2025-03-11 01:44:10,915 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7905 [2025-03-11 01:44:10,984 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.2304 [2025-03-11 01:44:11,039 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6272 [2025-03-11 01:44:11,100 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1905 [2025-03-11 01:44:11,141 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5082 [2025-03-11 01:44:11,179 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0616 [2025-03-11 01:44:11,259 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8568 [2025-03-11 01:44:11,295 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4607 [2025-03-11 01:44:11,349 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9753 [2025-03-11 01:44:11,389 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8839 [2025-03-11 01:44:11,424 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.2612 [2025-03-11 01:44:11,459 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.2773 [2025-03-11 01:44:11,496 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.0574 [2025-03-11 01:44:11,527 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.7663 [2025-03-11 01:44:11,561 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6757 [2025-03-11 01:44:11,589 INFO hook.py line 748 2389709] Test: [53/78] Loss 0.9413 [2025-03-11 01:44:11,628 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.5650 [2025-03-11 01:44:11,670 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.1714 [2025-03-11 01:44:11,714 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8181 [2025-03-11 01:44:11,752 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.4669 [2025-03-11 01:44:11,781 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.5631 [2025-03-11 01:44:11,819 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7001 [2025-03-11 01:44:11,856 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.3988 [2025-03-11 01:44:11,883 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8086 [2025-03-11 01:44:11,919 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9492 [2025-03-11 01:44:11,957 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1385 [2025-03-11 01:44:12,017 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.4491 [2025-03-11 01:44:12,044 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.5491 [2025-03-11 01:44:12,092 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.6059 [2025-03-11 01:44:12,132 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1878 [2025-03-11 01:44:12,169 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1358 [2025-03-11 01:44:12,204 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4150 [2025-03-11 01:44:12,269 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.8467 [2025-03-11 01:44:12,316 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5403 [2025-03-11 01:44:12,371 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7995 [2025-03-11 01:44:12,424 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5595 [2025-03-11 01:44:12,472 INFO hook.py line 748 2389709] Test: [74/78] Loss 1.9891 [2025-03-11 01:44:12,526 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5998 [2025-03-11 01:44:12,557 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.8311 [2025-03-11 01:44:12,616 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7183 [2025-03-11 01:44:12,642 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.0201 [2025-03-11 01:44:14,007 INFO hook.py line 674 2389709] ######################################## [2025-03-11 01:44:14,007 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 01:44:14,007 INFO hook.py line 680 2389709] ######################################## [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] wall : 0.7690 0.9323 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] chair : 0.7155 0.8074 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] floor : 0.9527 0.9836 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] table : 0.6252 0.7911 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] door : 0.6013 0.6761 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] couch : 0.7604 0.9347 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] cabinet : 0.3115 0.4985 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] shelf : 0.4251 0.6292 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] desk : 0.5260 0.6451 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] office chair : 0.1621 0.2090 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] bed : 0.7608 0.8925 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] pillow : 0.4463 0.7438 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] sink : 0.6184 0.7151 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] picture : 0.3391 0.4222 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] window : 0.5195 0.7269 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] toilet : 0.8768 0.9651 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] bookshelf : 0.4845 0.6025 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] monitor : 0.8281 0.9117 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] curtain : 0.7070 0.7596 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] book : 0.4275 0.6388 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] armchair : 0.4183 0.7103 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] coffee table : 0.6404 0.8424 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] box : 0.2863 0.3714 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] refrigerator : 0.6176 0.6835 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] lamp : 0.5879 0.7896 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] kitchen cabinet: 0.6175 0.7424 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] towel : 0.4379 0.5308 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] clothes : 0.1977 0.2493 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] tv : 0.7527 0.9255 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] nightstand : 0.6212 0.9012 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] counter : 0.2763 0.4783 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] dresser : 0.2858 0.4448 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] stool : 0.4529 0.6427 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] plant : 0.6355 0.9065 [2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] ceiling : 0.9263 0.9600 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] bathtub : 0.8410 0.9220 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] end table : 0.1801 0.3916 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] keyboard : 0.3549 0.5550 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] bag : 0.0716 0.0848 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] backpack : 0.5528 0.6539 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] toilet paper : 0.3930 0.4837 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] printer : 0.3344 0.4566 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] tv stand : 0.3806 0.8557 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] whiteboard : 0.4722 0.5561 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] blanket : 0.0003 0.0003 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] shower curtain : 0.6134 0.7321 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] trash can : 0.5738 0.8232 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] closet : 0.0112 0.0123 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] stairs : 0.4941 0.5345 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] microwave : 0.4947 0.7499 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] stove : 0.6295 0.7467 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] shoe : 0.3148 0.3462 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] computer tower : 0.5808 0.6661 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] bottle : 0.1155 0.2994 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] ottoman : 0.2740 0.3197 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] bench : 0.2719 0.3756 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] board : 0.0826 0.1178 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] washing machine: 0.6805 0.8841 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] mirror : 0.3138 0.3708 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] copier : 0.7728 0.9296 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] sofa chair : 0.0960 0.1837 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] file cabinet : 0.4254 0.6027 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] fan : 0.2324 0.3564 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] laptop : 0.2994 0.3132 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] shower : 0.1582 0.1673 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] paper : 0.0425 0.0939 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] person : 0.1386 0.1509 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] paper towel dispenser: 0.4830 0.5777 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] oven : 0.0365 0.0375 [2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] blackboard : 0.6201 0.6486 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] piano : 0.3218 0.5799 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] suitcase : 0.3622 0.3761 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] rail : 0.0266 0.0276 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] radiator : 0.5375 0.6679 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] recycling bin : 0.3986 0.4762 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] wardrobe : 0.0709 0.0951 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] soap dispenser : 0.7177 0.8646 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] telephone : 0.3094 0.4498 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] bucket : 0.2141 0.3962 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] clock : 0.2167 0.3273 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] light : 0.0000 0.0000 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] laundry basket : 0.0003 0.0003 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] pipe : 0.0411 0.0568 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] clothes dryer : 0.0537 0.0538 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] guitar : 0.2236 0.3156 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] toilet paper holder: 0.0144 0.0236 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] column : 0.0007 0.0007 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] ladder : 0.2307 0.2699 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] bathroom stall : 0.3604 0.4171 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] shower wall : 0.4803 0.5719 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] cup : 0.2089 0.4581 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] jacket : 0.0958 0.1010 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] storage bin : 0.0091 0.0116 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] coffee maker : 0.2931 0.9422 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] dishwasher : 0.0113 0.0142 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] paper towel roll: 0.1322 0.1536 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] mat : 0.0246 0.0274 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] windowsill : 0.1865 0.2549 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] bar : 0.1293 0.1772 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] toaster : 0.0018 0.0038 [2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] bulletin board : 0.1257 0.1992 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] fireplace : 0.5206 0.5910 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] soap dish : 0.2684 0.3950 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] kitchen counter: 0.4144 0.5103 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] doorframe : 0.3437 0.4440 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2230 0.2793 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] mini fridge : 0.2566 0.5131 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] ball : 0.3039 0.8974 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] hat : 0.0008 0.0013 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] shower curtain rod: 0.3084 0.8548 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] water cooler : 0.5044 0.7972 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] paper cutter : 0.1822 0.2060 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] tray : 0.0006 0.0012 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] shower door : 0.0008 0.0008 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] pillar : 0.0146 0.0167 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] ledge : 0.0730 0.0835 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] toaster oven : 0.1325 0.1337 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] mouse : 0.0000 0.0000 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7047 0.7998 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] cart : 0.0355 0.0369 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] scale : 0.0502 0.6029 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] tissue box : 0.0476 0.0597 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] decoration : 0.0008 0.0012 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] closet door : 0.0202 0.0225 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] vacuum cleaner : 0.3454 0.5115 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] plunger : 0.3248 0.9389 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] dish rack : 0.4445 0.8435 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] broom : 0.0241 0.0323 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] range hood : 0.6520 0.7146 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] handicap bar : 0.0429 0.8118 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] shower floor : 0.5287 0.9644 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] water pitcher : 0.0076 0.0334 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] mailbox : 0.4022 0.4202 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] bowl : 0.0255 0.0981 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] paper bag : 0.0291 0.0485 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] projector screen: 0.0001 0.0001 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] divider : 0.4294 0.5623 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] laundry detergent: 0.2257 0.2315 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] bathroom counter: 0.2371 0.4244 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] object : 0.0410 0.1053 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] bathroom vanity: 0.3980 0.5960 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] closet wall : 0.0580 0.0820 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] laundry hamper : 0.0079 0.0087 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] bathroom stall door: 0.5631 0.5980 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] ceiling light : 0.2088 0.2794 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] trash bin : 0.3160 0.5552 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] dumbbell : 0.4433 0.9128 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] stair rail : 0.0389 0.0460 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] tube : 0.0160 0.0201 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] bathroom cabinet: 0.2638 0.3647 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] closet rod : 0.6572 0.7876 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] coffee kettle : 0.1268 0.1429 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] shower head : 0.3249 0.3945 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] case of water bottles: 0.0591 0.0591 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 01:44:14,013 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 01:44:14,013 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 01:44:14,013 INFO hook.py line 689 2389709] mattress : 0.0007 0.0007 [2025-03-11 01:44:14,013 INFO hook.py line 690 2389709] ######################################## [2025-03-11 01:44:14,013 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2470/0.3391/0.8015. [2025-03-11 01:44:14,013 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 01:44:14,027 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2470 [2025-03-11 01:44:14,027 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2470 [2025-03-11 01:44:14,027 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 01:44:45,039 INFO hook.py line 566 2389709] Train: [12/100][50/300] Data 0.002 (0.002) Batch 0.474 (0.495) Remain 03:39:49 loss: 1.3053 Lr: 4.94815e-03 [2025-03-11 01:45:09,907 INFO hook.py line 566 2389709] Train: [12/100][100/300] Data 0.004 (0.002) Batch 0.479 (0.496) Remain 03:39:58 loss: 1.2236 Lr: 4.94532e-03 [2025-03-11 01:45:34,261 INFO hook.py line 566 2389709] Train: [12/100][150/300] Data 0.002 (0.002) Batch 0.510 (0.493) Remain 03:38:11 loss: 1.2455 Lr: 4.94241e-03 [2025-03-11 01:45:59,046 INFO hook.py line 566 2389709] Train: [12/100][200/300] Data 0.002 (0.002) Batch 0.533 (0.494) Remain 03:38:04 loss: 1.2394 Lr: 4.93944e-03 [2025-03-11 01:46:23,593 INFO hook.py line 566 2389709] Train: [12/100][250/300] Data 0.003 (0.002) Batch 0.450 (0.493) Remain 03:37:24 loss: 0.9073 Lr: 4.93639e-03 [2025-03-11 01:46:47,766 INFO hook.py line 566 2389709] Train: [12/100][300/300] Data 0.002 (0.002) Batch 0.472 (0.492) Remain 03:36:16 loss: 1.1080 Lr: 4.93326e-03 [2025-03-11 01:46:47,767 INFO misc.py line 135 2389709] Train result: loss: 1.1576 [2025-03-11 01:46:47,882 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 01:47:42,818 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5962 [2025-03-11 01:47:42,979 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3433 [2025-03-11 01:47:43,023 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7698 [2025-03-11 01:47:43,075 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4714 [2025-03-11 01:47:43,112 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9334 [2025-03-11 01:47:43,172 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.9073 [2025-03-11 01:47:43,230 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9132 [2025-03-11 01:47:43,261 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.7933 [2025-03-11 01:47:43,309 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.5605 [2025-03-11 01:47:43,349 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1684 [2025-03-11 01:47:43,400 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1469 [2025-03-11 01:47:43,441 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1640 [2025-03-11 01:47:43,493 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.8494 [2025-03-11 01:47:43,538 INFO hook.py line 748 2389709] Test: [14/78] Loss 2.6505 [2025-03-11 01:47:43,577 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.7187 [2025-03-11 01:47:43,626 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.2012 [2025-03-11 01:47:43,666 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2191 [2025-03-11 01:47:43,703 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8058 [2025-03-11 01:47:43,748 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.1384 [2025-03-11 01:47:43,786 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.2718 [2025-03-11 01:47:43,822 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6453 [2025-03-11 01:47:43,863 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8346 [2025-03-11 01:47:43,893 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5449 [2025-03-11 01:47:43,942 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0376 [2025-03-11 01:47:43,987 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5957 [2025-03-11 01:47:44,030 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1408 [2025-03-11 01:47:44,083 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6034 [2025-03-11 01:47:44,129 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6572 [2025-03-11 01:47:44,167 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.8907 [2025-03-11 01:47:44,228 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.3274 [2025-03-11 01:47:44,289 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6640 [2025-03-11 01:47:44,340 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0906 [2025-03-11 01:47:44,402 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.0666 [2025-03-11 01:47:44,440 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.2734 [2025-03-11 01:47:44,482 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3115 [2025-03-11 01:47:44,522 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.1869 [2025-03-11 01:47:44,566 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.4114 [2025-03-11 01:47:44,610 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8464 [2025-03-11 01:47:44,677 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.1739 [2025-03-11 01:47:44,729 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.8669 [2025-03-11 01:47:44,782 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.0194 [2025-03-11 01:47:44,814 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5146 [2025-03-11 01:47:44,854 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2016 [2025-03-11 01:47:44,914 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0001 [2025-03-11 01:47:44,947 INFO hook.py line 748 2389709] Test: [45/78] Loss 2.1050 [2025-03-11 01:47:44,995 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0073 [2025-03-11 01:47:45,035 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7166 [2025-03-11 01:47:45,074 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.3219 [2025-03-11 01:47:45,109 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3063 [2025-03-11 01:47:45,141 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.6523 [2025-03-11 01:47:45,173 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.1080 [2025-03-11 01:47:45,213 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.3434 [2025-03-11 01:47:45,240 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3891 [2025-03-11 01:47:45,279 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.4019 [2025-03-11 01:47:45,318 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.0375 [2025-03-11 01:47:45,362 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0448 [2025-03-11 01:47:45,400 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.5101 [2025-03-11 01:47:45,428 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.3619 [2025-03-11 01:47:45,469 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7540 [2025-03-11 01:47:45,506 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5337 [2025-03-11 01:47:45,533 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8547 [2025-03-11 01:47:45,569 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1744 [2025-03-11 01:47:45,611 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1942 [2025-03-11 01:47:45,671 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8076 [2025-03-11 01:47:45,699 INFO hook.py line 748 2389709] Test: [65/78] Loss 1.9749 [2025-03-11 01:47:45,743 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.4036 [2025-03-11 01:47:45,785 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9824 [2025-03-11 01:47:45,822 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.7551 [2025-03-11 01:47:45,852 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3843 [2025-03-11 01:47:45,914 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.6180 [2025-03-11 01:47:45,961 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5288 [2025-03-11 01:47:46,016 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6551 [2025-03-11 01:47:46,070 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7383 [2025-03-11 01:47:46,113 INFO hook.py line 748 2389709] Test: [74/78] Loss 1.9450 [2025-03-11 01:47:46,164 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5923 [2025-03-11 01:47:46,194 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.6348 [2025-03-11 01:47:46,253 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6968 [2025-03-11 01:47:46,284 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9053 [2025-03-11 01:47:47,642 INFO hook.py line 674 2389709] ######################################## [2025-03-11 01:47:47,642 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 01:47:47,642 INFO hook.py line 680 2389709] ######################################## [2025-03-11 01:47:47,642 INFO hook.py line 689 2389709] wall : 0.7721 0.8813 [2025-03-11 01:47:47,643 INFO hook.py line 689 2389709] chair : 0.7425 0.9107 [2025-03-11 01:47:47,643 INFO hook.py line 689 2389709] floor : 0.9541 0.9837 [2025-03-11 01:47:47,643 INFO hook.py line 689 2389709] table : 0.6049 0.6842 [2025-03-11 01:47:47,643 INFO hook.py line 689 2389709] door : 0.5755 0.6298 [2025-03-11 01:47:47,643 INFO hook.py line 689 2389709] couch : 0.7635 0.8683 [2025-03-11 01:47:47,643 INFO hook.py line 689 2389709] cabinet : 0.2354 0.3371 [2025-03-11 01:47:47,643 INFO hook.py line 689 2389709] shelf : 0.3914 0.6179 [2025-03-11 01:47:47,643 INFO hook.py line 689 2389709] desk : 0.5035 0.7997 [2025-03-11 01:47:47,643 INFO hook.py line 689 2389709] office chair : 0.0086 0.0086 [2025-03-11 01:47:47,643 INFO hook.py line 689 2389709] bed : 0.7568 0.9006 [2025-03-11 01:47:47,643 INFO hook.py line 689 2389709] pillow : 0.4797 0.7137 [2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] sink : 0.6334 0.7548 [2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] picture : 0.3280 0.4555 [2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] window : 0.4972 0.7013 [2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] toilet : 0.9295 0.9499 [2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] bookshelf : 0.3900 0.4802 [2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] monitor : 0.8400 0.9042 [2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] curtain : 0.6397 0.8245 [2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] book : 0.3858 0.8173 [2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] armchair : 0.5212 0.8604 [2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] coffee table : 0.6744 0.8225 [2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] box : 0.2962 0.3794 [2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] refrigerator : 0.6401 0.7330 [2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] lamp : 0.6475 0.7425 [2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] kitchen cabinet: 0.5587 0.8619 [2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] towel : 0.4467 0.6900 [2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] clothes : 0.2260 0.3824 [2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] tv : 0.6761 0.8980 [2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] nightstand : 0.5171 0.8284 [2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] counter : 0.1450 0.1646 [2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] dresser : 0.3144 0.4969 [2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] stool : 0.4697 0.7673 [2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] plant : 0.6352 0.9196 [2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] ceiling : 0.9157 0.9762 [2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] bathtub : 0.8283 0.8891 [2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] end table : 0.1734 0.2417 [2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 [2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] keyboard : 0.1783 0.7033 [2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] bag : 0.1994 0.3348 [2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] backpack : 0.5845 0.7000 [2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] toilet paper : 0.4107 0.5356 [2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] printer : 0.3612 0.4448 [2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] tv stand : 0.4601 0.9050 [2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] whiteboard : 0.4855 0.7494 [2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] blanket : 0.0000 0.0000 [2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] shower curtain : 0.6984 0.7977 [2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] trash can : 0.6014 0.7563 [2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] closet : 0.0233 0.0298 [2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] stairs : 0.5898 0.6230 [2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] microwave : 0.2928 0.7695 [2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] stove : 0.5496 0.8495 [2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] shoe : 0.4171 0.7041 [2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] computer tower : 0.3698 0.8542 [2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] bottle : 0.1117 0.2577 [2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] ottoman : 0.2991 0.4096 [2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] bench : 0.3540 0.4511 [2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] board : 0.0900 0.2390 [2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] washing machine: 0.6023 0.6360 [2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] mirror : 0.2988 0.4263 [2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] copier : 0.8584 0.9011 [2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] basket : 0.0008 0.0020 [2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] sofa chair : 0.0004 0.0004 [2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] file cabinet : 0.4080 0.6109 [2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] fan : 0.1560 0.1655 [2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] laptop : 0.3187 0.5406 [2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] shower : 0.1678 0.2321 [2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] paper : 0.0441 0.0692 [2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] person : 0.2369 0.2542 [2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] paper towel dispenser: 0.3791 0.6440 [2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] oven : 0.0293 0.0307 [2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] blinds : 0.0501 0.0842 [2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] blackboard : 0.5502 0.6208 [2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] piano : 0.1714 0.3277 [2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] suitcase : 0.5696 0.5970 [2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] rail : 0.0064 0.0065 [2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] radiator : 0.5593 0.6478 [2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] recycling bin : 0.3671 0.4321 [2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] container : 0.0021 0.0021 [2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] wardrobe : 0.1477 0.2462 [2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] soap dispenser : 0.6511 0.6813 [2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] telephone : 0.1892 0.4105 [2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] bucket : 0.3118 0.4961 [2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] clock : 0.1315 0.1460 [2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] stand : 0.0258 0.1743 [2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] light : 0.1984 0.2740 [2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 [2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] pipe : 0.0350 0.0367 [2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] clothes dryer : 0.5212 0.7650 [2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] guitar : 0.2943 0.3501 [2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] ladder : 0.3427 0.4502 [2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] bathroom stall : 0.4076 0.7361 [2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] shower wall : 0.4858 0.6588 [2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] cup : 0.1540 0.6409 [2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] jacket : 0.1283 0.2161 [2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] storage bin : 0.0868 0.1122 [2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] coffee maker : 0.6974 0.8465 [2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] dishwasher : 0.0401 0.0417 [2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] paper towel roll: 0.2342 0.6898 [2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] mat : 0.0870 0.0939 [2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] windowsill : 0.0571 0.0585 [2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] bar : 0.1309 0.3336 [2025-03-11 01:47:47,650 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 01:47:47,650 INFO hook.py line 689 2389709] bulletin board : 0.1688 0.1752 [2025-03-11 01:47:47,650 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 [2025-03-11 01:47:47,650 INFO hook.py line 689 2389709] fireplace : 0.1687 0.1735 [2025-03-11 01:47:47,650 INFO hook.py line 689 2389709] soap dish : 0.2125 0.4625 [2025-03-11 01:47:47,650 INFO hook.py line 689 2389709] kitchen counter: 0.4976 0.8184 [2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] doorframe : 0.2917 0.3682 [2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2916 0.3516 [2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] mini fridge : 0.3406 0.5077 [2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] ball : 0.5422 0.8850 [2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] shower curtain rod: 0.2069 0.8776 [2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] water cooler : 0.2762 0.3555 [2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] paper cutter : 0.1675 0.2698 [2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 [2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] shower door : 0.0110 0.0249 [2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] pillar : 0.0053 0.0054 [2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] ledge : 0.0525 0.0929 [2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] toaster oven : 0.1854 0.1919 [2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] mouse : 0.0333 0.3947 [2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5330 0.8557 [2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] cart : 0.0817 0.0859 [2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] scale : 0.1124 0.5010 [2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] tissue box : 0.0654 0.0763 [2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 [2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] decoration : 0.2624 0.4573 [2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] sign : 0.0103 0.0110 [2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 [2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] closet door : 0.0846 0.0904 [2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] vacuum cleaner : 0.4159 0.4229 [2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] plunger : 0.5318 0.7524 [2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] dish rack : 0.2071 0.4313 [2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] broom : 0.0151 0.0299 [2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] range hood : 0.6837 0.8824 [2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] dustpan : 0.0255 0.0492 [2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] handicap bar : 0.0345 0.6735 [2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] shower floor : 0.4002 0.9840 [2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] water pitcher : 0.0034 0.0191 [2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] mailbox : 0.3890 0.4019 [2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] bowl : 0.0012 0.0016 [2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] paper bag : 0.0097 0.0157 [2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] projector screen: 0.0008 0.0009 [2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] divider : 0.4302 0.4679 [2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] laundry detergent: 0.0321 0.0385 [2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] bathroom counter: 0.2755 0.3399 [2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] object : 0.0090 0.0114 [2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] bathroom vanity: 0.4757 0.7436 [2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] closet wall : 0.1855 0.4134 [2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] laundry hamper : 0.0004 0.0005 [2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] bathroom stall door: 0.4445 0.8284 [2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] ceiling light : 0.1914 0.2094 [2025-03-11 01:47:47,654 INFO hook.py line 689 2389709] trash bin : 0.2868 0.7067 [2025-03-11 01:47:47,654 INFO hook.py line 689 2389709] dumbbell : 0.0505 0.9628 [2025-03-11 01:47:47,654 INFO hook.py line 689 2389709] stair rail : 0.0700 0.0919 [2025-03-11 01:47:47,654 INFO hook.py line 689 2389709] tube : 0.0000 0.0000 [2025-03-11 01:47:47,654 INFO hook.py line 689 2389709] bathroom cabinet: 0.0838 0.0911 [2025-03-11 01:47:47,654 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 01:47:47,654 INFO hook.py line 689 2389709] closet rod : 0.2739 0.9314 [2025-03-11 01:47:47,654 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 01:47:47,654 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 01:47:47,654 INFO hook.py line 689 2389709] shower head : 0.2760 0.3341 [2025-03-11 01:47:47,654 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 01:47:47,655 INFO hook.py line 689 2389709] case of water bottles: 0.0123 0.0125 [2025-03-11 01:47:47,655 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 01:47:47,655 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 01:47:47,655 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 01:47:47,655 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 01:47:47,655 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 01:47:47,655 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 01:47:47,656 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 01:47:47,656 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 01:47:47,656 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 01:47:47,656 INFO hook.py line 689 2389709] mattress : 0.0005 0.0005 [2025-03-11 01:47:47,656 INFO hook.py line 690 2389709] ######################################## [2025-03-11 01:47:47,656 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2437/0.3578/0.7952. [2025-03-11 01:47:47,656 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 01:47:47,661 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2470 [2025-03-11 01:47:47,662 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 01:48:18,258 INFO hook.py line 566 2389709] Train: [13/100][50/300] Data 0.002 (0.002) Batch 0.479 (0.489) Remain 03:34:56 loss: 1.2448 Lr: 4.93006e-03 [2025-03-11 01:48:43,299 INFO hook.py line 566 2389709] Train: [13/100][100/300] Data 0.003 (0.002) Batch 0.499 (0.495) Remain 03:37:06 loss: 1.3970 Lr: 4.92679e-03 [2025-03-11 01:49:07,606 INFO hook.py line 566 2389709] Train: [13/100][150/300] Data 0.002 (0.002) Batch 0.469 (0.492) Remain 03:35:19 loss: 0.9241 Lr: 4.92344e-03 [2025-03-11 01:49:32,502 INFO hook.py line 566 2389709] Train: [13/100][200/300] Data 0.002 (0.002) Batch 0.560 (0.494) Remain 03:35:33 loss: 1.1413 Lr: 4.92002e-03 [2025-03-11 01:49:56,950 INFO hook.py line 566 2389709] Train: [13/100][250/300] Data 0.003 (0.002) Batch 0.505 (0.493) Remain 03:34:43 loss: 0.8668 Lr: 4.91653e-03 [2025-03-11 01:50:21,136 INFO hook.py line 566 2389709] Train: [13/100][300/300] Data 0.002 (0.002) Batch 0.441 (0.491) Remain 03:33:39 loss: 1.0762 Lr: 4.91296e-03 [2025-03-11 01:50:21,137 INFO misc.py line 135 2389709] Train result: loss: 1.1338 [2025-03-11 01:50:21,255 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 01:51:10,997 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.7489 [2025-03-11 01:51:11,077 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.4757 [2025-03-11 01:51:11,114 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7141 [2025-03-11 01:51:11,173 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4497 [2025-03-11 01:51:11,214 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.1150 [2025-03-11 01:51:11,274 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.4790 [2025-03-11 01:51:11,332 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8670 [2025-03-11 01:51:11,372 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.6194 [2025-03-11 01:51:11,419 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3821 [2025-03-11 01:51:11,466 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.4175 [2025-03-11 01:51:11,520 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2850 [2025-03-11 01:51:11,557 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.3493 [2025-03-11 01:51:11,608 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.1633 [2025-03-11 01:51:11,655 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.1141 [2025-03-11 01:51:11,695 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1062 [2025-03-11 01:51:11,741 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.3061 [2025-03-11 01:51:11,783 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.0326 [2025-03-11 01:51:11,826 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8783 [2025-03-11 01:51:11,881 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.1670 [2025-03-11 01:51:11,915 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7064 [2025-03-11 01:51:11,954 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7629 [2025-03-11 01:51:11,999 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7251 [2025-03-11 01:51:12,047 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.1317 [2025-03-11 01:51:12,100 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.8271 [2025-03-11 01:51:12,144 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.9319 [2025-03-11 01:51:12,188 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2230 [2025-03-11 01:51:12,242 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.7162 [2025-03-11 01:51:12,285 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6315 [2025-03-11 01:51:12,316 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.8889 [2025-03-11 01:51:12,376 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.1089 [2025-03-11 01:51:12,437 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6745 [2025-03-11 01:51:12,478 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.3896 [2025-03-11 01:51:12,539 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.2805 [2025-03-11 01:51:12,578 INFO hook.py line 748 2389709] Test: [34/78] Loss 3.0460 [2025-03-11 01:51:12,618 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1705 [2025-03-11 01:51:12,659 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2662 [2025-03-11 01:51:12,696 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.1314 [2025-03-11 01:51:12,726 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8247 [2025-03-11 01:51:12,793 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.5605 [2025-03-11 01:51:12,843 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.8533 [2025-03-11 01:51:12,887 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3769 [2025-03-11 01:51:12,920 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5554 [2025-03-11 01:51:12,959 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2459 [2025-03-11 01:51:13,022 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0008 [2025-03-11 01:51:13,061 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7173 [2025-03-11 01:51:13,107 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1926 [2025-03-11 01:51:13,150 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.6868 [2025-03-11 01:51:13,189 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0593 [2025-03-11 01:51:13,223 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.1385 [2025-03-11 01:51:13,255 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.9514 [2025-03-11 01:51:13,288 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2904 [2025-03-11 01:51:13,327 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.4107 [2025-03-11 01:51:13,354 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1851 [2025-03-11 01:51:13,394 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.0300 [2025-03-11 01:51:13,434 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.0243 [2025-03-11 01:51:13,480 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0631 [2025-03-11 01:51:13,518 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.8048 [2025-03-11 01:51:13,546 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.4612 [2025-03-11 01:51:13,587 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8577 [2025-03-11 01:51:13,623 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5884 [2025-03-11 01:51:13,650 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7960 [2025-03-11 01:51:13,686 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1465 [2025-03-11 01:51:13,727 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.8841 [2025-03-11 01:51:13,787 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.5285 [2025-03-11 01:51:13,815 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1338 [2025-03-11 01:51:13,857 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.3272 [2025-03-11 01:51:13,900 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.3483 [2025-03-11 01:51:13,938 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.3917 [2025-03-11 01:51:13,969 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3263 [2025-03-11 01:51:14,029 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.2930 [2025-03-11 01:51:14,075 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8884 [2025-03-11 01:51:14,130 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7178 [2025-03-11 01:51:14,183 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6562 [2025-03-11 01:51:14,226 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.0253 [2025-03-11 01:51:14,277 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.4844 [2025-03-11 01:51:14,306 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7283 [2025-03-11 01:51:14,366 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.8535 [2025-03-11 01:51:14,397 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.0462 [2025-03-11 01:51:15,666 INFO hook.py line 674 2389709] ######################################## [2025-03-11 01:51:15,667 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 01:51:15,667 INFO hook.py line 680 2389709] ######################################## [2025-03-11 01:51:15,667 INFO hook.py line 689 2389709] wall : 0.7507 0.8646 [2025-03-11 01:51:15,667 INFO hook.py line 689 2389709] chair : 0.7326 0.8321 [2025-03-11 01:51:15,667 INFO hook.py line 689 2389709] floor : 0.9535 0.9839 [2025-03-11 01:51:15,667 INFO hook.py line 689 2389709] table : 0.6136 0.6838 [2025-03-11 01:51:15,667 INFO hook.py line 689 2389709] door : 0.6416 0.7426 [2025-03-11 01:51:15,667 INFO hook.py line 689 2389709] couch : 0.7021 0.8818 [2025-03-11 01:51:15,668 INFO hook.py line 689 2389709] cabinet : 0.2883 0.5283 [2025-03-11 01:51:15,668 INFO hook.py line 689 2389709] shelf : 0.3836 0.5923 [2025-03-11 01:51:15,668 INFO hook.py line 689 2389709] desk : 0.4982 0.7776 [2025-03-11 01:51:15,668 INFO hook.py line 689 2389709] office chair : 0.1753 0.2479 [2025-03-11 01:51:15,668 INFO hook.py line 689 2389709] bed : 0.7535 0.8506 [2025-03-11 01:51:15,668 INFO hook.py line 689 2389709] pillow : 0.4898 0.7576 [2025-03-11 01:51:15,668 INFO hook.py line 689 2389709] sink : 0.6197 0.6906 [2025-03-11 01:51:15,668 INFO hook.py line 689 2389709] picture : 0.3119 0.4193 [2025-03-11 01:51:15,668 INFO hook.py line 689 2389709] window : 0.5130 0.7653 [2025-03-11 01:51:15,668 INFO hook.py line 689 2389709] toilet : 0.9037 0.9552 [2025-03-11 01:51:15,668 INFO hook.py line 689 2389709] bookshelf : 0.4894 0.6465 [2025-03-11 01:51:15,669 INFO hook.py line 689 2389709] monitor : 0.8430 0.9160 [2025-03-11 01:51:15,669 INFO hook.py line 689 2389709] curtain : 0.6240 0.8741 [2025-03-11 01:51:15,669 INFO hook.py line 689 2389709] book : 0.4311 0.6244 [2025-03-11 01:51:15,669 INFO hook.py line 689 2389709] armchair : 0.3104 0.3546 [2025-03-11 01:51:15,669 INFO hook.py line 689 2389709] coffee table : 0.6730 0.7923 [2025-03-11 01:51:15,669 INFO hook.py line 689 2389709] box : 0.1531 0.1718 [2025-03-11 01:51:15,669 INFO hook.py line 689 2389709] refrigerator : 0.6027 0.6603 [2025-03-11 01:51:15,669 INFO hook.py line 689 2389709] lamp : 0.6361 0.7200 [2025-03-11 01:51:15,669 INFO hook.py line 689 2389709] kitchen cabinet: 0.5843 0.7119 [2025-03-11 01:51:15,669 INFO hook.py line 689 2389709] towel : 0.4287 0.5536 [2025-03-11 01:51:15,670 INFO hook.py line 689 2389709] clothes : 0.1867 0.3648 [2025-03-11 01:51:15,670 INFO hook.py line 689 2389709] tv : 0.6980 0.8616 [2025-03-11 01:51:15,670 INFO hook.py line 689 2389709] nightstand : 0.5514 0.8528 [2025-03-11 01:51:15,670 INFO hook.py line 689 2389709] counter : 0.1224 0.1628 [2025-03-11 01:51:15,670 INFO hook.py line 689 2389709] dresser : 0.3319 0.5725 [2025-03-11 01:51:15,670 INFO hook.py line 689 2389709] stool : 0.4017 0.6490 [2025-03-11 01:51:15,670 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 01:51:15,670 INFO hook.py line 689 2389709] plant : 0.6074 0.9237 [2025-03-11 01:51:15,670 INFO hook.py line 689 2389709] ceiling : 0.9126 0.9432 [2025-03-11 01:51:15,670 INFO hook.py line 689 2389709] bathtub : 0.8152 0.9068 [2025-03-11 01:51:15,670 INFO hook.py line 689 2389709] end table : 0.1694 0.2369 [2025-03-11 01:51:15,671 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 [2025-03-11 01:51:15,671 INFO hook.py line 689 2389709] keyboard : 0.3748 0.4451 [2025-03-11 01:51:15,671 INFO hook.py line 689 2389709] bag : 0.1319 0.2097 [2025-03-11 01:51:15,671 INFO hook.py line 689 2389709] backpack : 0.5372 0.6722 [2025-03-11 01:51:15,671 INFO hook.py line 689 2389709] toilet paper : 0.3954 0.5802 [2025-03-11 01:51:15,671 INFO hook.py line 689 2389709] printer : 0.4565 0.5458 [2025-03-11 01:51:15,671 INFO hook.py line 689 2389709] tv stand : 0.4301 0.4493 [2025-03-11 01:51:15,671 INFO hook.py line 689 2389709] whiteboard : 0.4514 0.6333 [2025-03-11 01:51:15,671 INFO hook.py line 689 2389709] blanket : 0.0160 0.0194 [2025-03-11 01:51:15,671 INFO hook.py line 689 2389709] shower curtain : 0.6059 0.7792 [2025-03-11 01:51:15,671 INFO hook.py line 689 2389709] trash can : 0.5454 0.8284 [2025-03-11 01:51:15,672 INFO hook.py line 689 2389709] closet : 0.0321 0.0469 [2025-03-11 01:51:15,672 INFO hook.py line 689 2389709] stairs : 0.6051 0.6645 [2025-03-11 01:51:15,672 INFO hook.py line 689 2389709] microwave : 0.5610 0.7110 [2025-03-11 01:51:15,672 INFO hook.py line 689 2389709] stove : 0.4925 0.5848 [2025-03-11 01:51:15,672 INFO hook.py line 689 2389709] shoe : 0.4251 0.7364 [2025-03-11 01:51:15,672 INFO hook.py line 689 2389709] computer tower : 0.5581 0.7825 [2025-03-11 01:51:15,672 INFO hook.py line 689 2389709] bottle : 0.1056 0.1609 [2025-03-11 01:51:15,672 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 01:51:15,672 INFO hook.py line 689 2389709] ottoman : 0.3289 0.3843 [2025-03-11 01:51:15,672 INFO hook.py line 689 2389709] bench : 0.3742 0.4519 [2025-03-11 01:51:15,672 INFO hook.py line 689 2389709] board : 0.1041 0.1543 [2025-03-11 01:51:15,673 INFO hook.py line 689 2389709] washing machine: 0.6685 0.7533 [2025-03-11 01:51:15,673 INFO hook.py line 689 2389709] mirror : 0.3602 0.4424 [2025-03-11 01:51:15,673 INFO hook.py line 689 2389709] copier : 0.7995 0.8500 [2025-03-11 01:51:15,673 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 01:51:15,673 INFO hook.py line 689 2389709] sofa chair : 0.0966 0.2253 [2025-03-11 01:51:15,673 INFO hook.py line 689 2389709] file cabinet : 0.3693 0.6960 [2025-03-11 01:51:15,673 INFO hook.py line 689 2389709] fan : 0.3078 0.3738 [2025-03-11 01:51:15,673 INFO hook.py line 689 2389709] laptop : 0.4127 0.5923 [2025-03-11 01:51:15,673 INFO hook.py line 689 2389709] shower : 0.2593 0.3873 [2025-03-11 01:51:15,673 INFO hook.py line 689 2389709] paper : 0.0415 0.0518 [2025-03-11 01:51:15,673 INFO hook.py line 689 2389709] person : 0.1459 0.3087 [2025-03-11 01:51:15,673 INFO hook.py line 689 2389709] paper towel dispenser: 0.4793 0.6235 [2025-03-11 01:51:15,674 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 [2025-03-11 01:51:15,674 INFO hook.py line 689 2389709] blinds : 0.0035 0.0038 [2025-03-11 01:51:15,674 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 01:51:15,674 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 01:51:15,674 INFO hook.py line 689 2389709] blackboard : 0.3677 0.8231 [2025-03-11 01:51:15,674 INFO hook.py line 689 2389709] piano : 0.5065 0.8524 [2025-03-11 01:51:15,674 INFO hook.py line 689 2389709] suitcase : 0.4466 0.4707 [2025-03-11 01:51:15,674 INFO hook.py line 689 2389709] rail : 0.0093 0.0093 [2025-03-11 01:51:15,675 INFO hook.py line 689 2389709] radiator : 0.4877 0.6831 [2025-03-11 01:51:15,675 INFO hook.py line 689 2389709] recycling bin : 0.4252 0.5434 [2025-03-11 01:51:15,675 INFO hook.py line 689 2389709] container : 0.1006 0.1654 [2025-03-11 01:51:15,675 INFO hook.py line 689 2389709] wardrobe : 0.1545 0.2032 [2025-03-11 01:51:15,675 INFO hook.py line 689 2389709] soap dispenser : 0.7186 0.7671 [2025-03-11 01:51:15,675 INFO hook.py line 689 2389709] telephone : 0.2034 0.5629 [2025-03-11 01:51:15,675 INFO hook.py line 689 2389709] bucket : 0.2117 0.4617 [2025-03-11 01:51:15,675 INFO hook.py line 689 2389709] clock : 0.1631 0.2072 [2025-03-11 01:51:15,676 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 01:51:15,676 INFO hook.py line 689 2389709] light : 0.0562 0.0666 [2025-03-11 01:51:15,676 INFO hook.py line 689 2389709] laundry basket : 0.1001 0.1449 [2025-03-11 01:51:15,676 INFO hook.py line 689 2389709] pipe : 0.0585 0.0972 [2025-03-11 01:51:15,676 INFO hook.py line 689 2389709] clothes dryer : 0.4831 0.5087 [2025-03-11 01:51:15,676 INFO hook.py line 689 2389709] guitar : 0.2158 0.7281 [2025-03-11 01:51:15,676 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 01:51:15,676 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 01:51:15,676 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 01:51:15,677 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 01:51:15,677 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 01:51:15,677 INFO hook.py line 689 2389709] ladder : 0.1967 0.2069 [2025-03-11 01:51:15,677 INFO hook.py line 689 2389709] bathroom stall : 0.4064 0.6522 [2025-03-11 01:51:15,677 INFO hook.py line 689 2389709] shower wall : 0.4443 0.7046 [2025-03-11 01:51:15,677 INFO hook.py line 689 2389709] cup : 0.1961 0.3743 [2025-03-11 01:51:15,677 INFO hook.py line 689 2389709] jacket : 0.0998 0.1409 [2025-03-11 01:51:15,677 INFO hook.py line 689 2389709] storage bin : 0.0530 0.1058 [2025-03-11 01:51:15,677 INFO hook.py line 689 2389709] coffee maker : 0.1608 0.9883 [2025-03-11 01:51:15,679 INFO hook.py line 689 2389709] dishwasher : 0.0570 0.0741 [2025-03-11 01:51:15,679 INFO hook.py line 689 2389709] paper towel roll: 0.0000 0.0000 [2025-03-11 01:51:15,679 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 01:51:15,679 INFO hook.py line 689 2389709] mat : 0.0000 0.0000 [2025-03-11 01:51:15,679 INFO hook.py line 689 2389709] windowsill : 0.1818 0.2459 [2025-03-11 01:51:15,679 INFO hook.py line 689 2389709] bar : 0.1309 0.1650 [2025-03-11 01:51:15,680 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 01:51:15,680 INFO hook.py line 689 2389709] bulletin board : 0.2375 0.5022 [2025-03-11 01:51:15,680 INFO hook.py line 689 2389709] ironing board : 0.0174 0.0196 [2025-03-11 01:51:15,680 INFO hook.py line 689 2389709] fireplace : 0.1518 0.1555 [2025-03-11 01:51:15,680 INFO hook.py line 689 2389709] soap dish : 0.2736 0.3578 [2025-03-11 01:51:15,680 INFO hook.py line 689 2389709] kitchen counter: 0.4550 0.5649 [2025-03-11 01:51:15,680 INFO hook.py line 689 2389709] doorframe : 0.3400 0.6028 [2025-03-11 01:51:15,680 INFO hook.py line 689 2389709] toilet paper dispenser: 0.1368 0.1451 [2025-03-11 01:51:15,680 INFO hook.py line 689 2389709] mini fridge : 0.4335 0.5305 [2025-03-11 01:51:15,680 INFO hook.py line 689 2389709] fire extinguisher: 0.0299 0.0463 [2025-03-11 01:51:15,680 INFO hook.py line 689 2389709] ball : 0.3527 0.9183 [2025-03-11 01:51:15,681 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 01:51:15,681 INFO hook.py line 689 2389709] shower curtain rod: 0.3166 0.7842 [2025-03-11 01:51:15,681 INFO hook.py line 689 2389709] water cooler : 0.1518 0.2499 [2025-03-11 01:51:15,681 INFO hook.py line 689 2389709] paper cutter : 0.2159 0.2728 [2025-03-11 01:51:15,681 INFO hook.py line 689 2389709] tray : 0.0002 0.0002 [2025-03-11 01:51:15,681 INFO hook.py line 689 2389709] shower door : 0.0114 0.0129 [2025-03-11 01:51:15,681 INFO hook.py line 689 2389709] pillar : 0.0559 0.0793 [2025-03-11 01:51:15,681 INFO hook.py line 689 2389709] ledge : 0.0234 0.0297 [2025-03-11 01:51:15,681 INFO hook.py line 689 2389709] toaster oven : 0.0983 0.0990 [2025-03-11 01:51:15,681 INFO hook.py line 689 2389709] mouse : 0.0739 0.1171 [2025-03-11 01:51:15,681 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6796 0.8054 [2025-03-11 01:51:15,682 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 01:51:15,682 INFO hook.py line 689 2389709] cart : 0.0354 0.0385 [2025-03-11 01:51:15,682 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 01:51:15,682 INFO hook.py line 689 2389709] scale : 0.1120 0.4097 [2025-03-11 01:51:15,682 INFO hook.py line 689 2389709] tissue box : 0.0704 0.0992 [2025-03-11 01:51:15,682 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 [2025-03-11 01:51:15,682 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 01:51:15,682 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 01:51:15,682 INFO hook.py line 689 2389709] decoration : 0.0828 0.1909 [2025-03-11 01:51:15,682 INFO hook.py line 689 2389709] sign : 0.0120 0.0136 [2025-03-11 01:51:15,683 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 [2025-03-11 01:51:15,683 INFO hook.py line 689 2389709] closet door : 0.0130 0.0168 [2025-03-11 01:51:15,683 INFO hook.py line 689 2389709] vacuum cleaner : 0.6210 0.8481 [2025-03-11 01:51:15,683 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 01:51:15,683 INFO hook.py line 689 2389709] plunger : 0.2110 0.9359 [2025-03-11 01:51:15,683 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 01:51:15,683 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 01:51:15,683 INFO hook.py line 689 2389709] dish rack : 0.3635 0.4198 [2025-03-11 01:51:15,683 INFO hook.py line 689 2389709] broom : 0.0648 0.1029 [2025-03-11 01:51:15,683 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 01:51:15,683 INFO hook.py line 689 2389709] range hood : 0.6954 0.8158 [2025-03-11 01:51:15,684 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 [2025-03-11 01:51:15,684 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 01:51:15,684 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 01:51:15,684 INFO hook.py line 689 2389709] handicap bar : 0.0072 0.0585 [2025-03-11 01:51:15,684 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 01:51:15,684 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 01:51:15,684 INFO hook.py line 689 2389709] shower floor : 0.3756 0.9378 [2025-03-11 01:51:15,684 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 01:51:15,684 INFO hook.py line 689 2389709] mailbox : 0.3086 0.3111 [2025-03-11 01:51:15,684 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 [2025-03-11 01:51:15,684 INFO hook.py line 689 2389709] paper bag : 0.0441 0.0983 [2025-03-11 01:51:15,685 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 01:51:15,685 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 01:51:15,685 INFO hook.py line 689 2389709] projector screen: 0.0242 0.0355 [2025-03-11 01:51:15,685 INFO hook.py line 689 2389709] divider : 0.4549 0.5723 [2025-03-11 01:51:15,685 INFO hook.py line 689 2389709] laundry detergent: 0.0282 0.0283 [2025-03-11 01:51:15,685 INFO hook.py line 689 2389709] bathroom counter: 0.1686 0.1790 [2025-03-11 01:51:15,685 INFO hook.py line 689 2389709] object : 0.0366 0.0598 [2025-03-11 01:51:15,685 INFO hook.py line 689 2389709] bathroom vanity: 0.4343 0.8135 [2025-03-11 01:51:15,685 INFO hook.py line 689 2389709] closet wall : 0.1277 0.3135 [2025-03-11 01:51:15,685 INFO hook.py line 689 2389709] laundry hamper : 0.1499 0.4436 [2025-03-11 01:51:15,685 INFO hook.py line 689 2389709] bathroom stall door: 0.5576 0.8234 [2025-03-11 01:51:15,686 INFO hook.py line 689 2389709] ceiling light : 0.2272 0.3276 [2025-03-11 01:51:15,686 INFO hook.py line 689 2389709] trash bin : 0.2766 0.3674 [2025-03-11 01:51:15,686 INFO hook.py line 689 2389709] dumbbell : 0.6194 0.9533 [2025-03-11 01:51:15,686 INFO hook.py line 689 2389709] stair rail : 0.1699 0.2002 [2025-03-11 01:51:15,686 INFO hook.py line 689 2389709] tube : 0.0403 0.1003 [2025-03-11 01:51:15,686 INFO hook.py line 689 2389709] bathroom cabinet: 0.2522 0.3574 [2025-03-11 01:51:15,686 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 01:51:15,686 INFO hook.py line 689 2389709] closet rod : 0.2163 0.8520 [2025-03-11 01:51:15,686 INFO hook.py line 689 2389709] coffee kettle : 0.0509 0.0788 [2025-03-11 01:51:15,686 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 01:51:15,686 INFO hook.py line 689 2389709] shower head : 0.1613 0.3900 [2025-03-11 01:51:15,687 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 01:51:15,687 INFO hook.py line 689 2389709] case of water bottles: 0.0057 0.0057 [2025-03-11 01:51:15,687 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 01:51:15,687 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 01:51:15,687 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 01:51:15,687 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 01:51:15,687 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 01:51:15,687 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 01:51:15,687 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 01:51:15,687 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 01:51:15,687 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 01:51:15,688 INFO hook.py line 689 2389709] mattress : 0.0501 0.0534 [2025-03-11 01:51:15,688 INFO hook.py line 690 2389709] ######################################## [2025-03-11 01:51:15,688 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2457/0.3486/0.7904. [2025-03-11 01:51:15,689 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 01:51:15,705 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2470 [2025-03-11 01:51:15,705 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 01:51:45,585 INFO hook.py line 566 2389709] Train: [14/100][50/300] Data 0.002 (0.002) Batch 0.502 (0.496) Remain 03:35:11 loss: 1.2892 Lr: 4.90932e-03 [2025-03-11 01:52:09,844 INFO hook.py line 566 2389709] Train: [14/100][100/300] Data 0.002 (0.002) Batch 0.479 (0.490) Remain 03:32:26 loss: 1.1339 Lr: 4.90560e-03 [2025-03-11 01:52:34,367 INFO hook.py line 566 2389709] Train: [14/100][150/300] Data 0.002 (0.002) Batch 0.555 (0.490) Remain 03:32:03 loss: 1.0485 Lr: 4.90182e-03 [2025-03-11 01:52:59,173 INFO hook.py line 566 2389709] Train: [14/100][200/300] Data 0.003 (0.002) Batch 0.421 (0.492) Remain 03:32:17 loss: 1.1330 Lr: 4.89796e-03 [2025-03-11 01:53:24,206 INFO hook.py line 566 2389709] Train: [14/100][250/300] Data 0.002 (0.002) Batch 0.454 (0.494) Remain 03:32:39 loss: 1.0993 Lr: 4.89403e-03 [2025-03-11 01:53:48,299 INFO hook.py line 566 2389709] Train: [14/100][300/300] Data 0.002 (0.002) Batch 0.491 (0.492) Remain 03:31:23 loss: 1.1368 Lr: 4.89002e-03 [2025-03-11 01:53:48,299 INFO misc.py line 135 2389709] Train result: loss: 1.1257 [2025-03-11 01:53:48,403 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 01:54:42,216 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5600 [2025-03-11 01:54:42,324 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.1332 [2025-03-11 01:54:42,359 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.8892 [2025-03-11 01:54:42,409 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.6840 [2025-03-11 01:54:42,443 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9587 [2025-03-11 01:54:42,506 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.6307 [2025-03-11 01:54:42,562 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9951 [2025-03-11 01:54:42,592 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4258 [2025-03-11 01:54:42,641 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2371 [2025-03-11 01:54:42,682 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.6209 [2025-03-11 01:54:42,734 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1936 [2025-03-11 01:54:42,782 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.8983 [2025-03-11 01:54:42,846 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.0422 [2025-03-11 01:54:42,892 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.6118 [2025-03-11 01:54:42,931 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.8655 [2025-03-11 01:54:42,979 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.3272 [2025-03-11 01:54:43,025 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2161 [2025-03-11 01:54:43,062 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.7655 [2025-03-11 01:54:43,109 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5643 [2025-03-11 01:54:43,145 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5622 [2025-03-11 01:54:43,183 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6481 [2025-03-11 01:54:43,231 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7088 [2025-03-11 01:54:43,267 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5309 [2025-03-11 01:54:43,319 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.7665 [2025-03-11 01:54:43,365 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.3125 [2025-03-11 01:54:43,409 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5755 [2025-03-11 01:54:43,466 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6016 [2025-03-11 01:54:43,522 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8308 [2025-03-11 01:54:43,555 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9896 [2025-03-11 01:54:43,611 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.8577 [2025-03-11 01:54:43,672 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.7694 [2025-03-11 01:54:43,713 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.3991 [2025-03-11 01:54:43,770 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.1778 [2025-03-11 01:54:43,814 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.8261 [2025-03-11 01:54:43,850 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1172 [2025-03-11 01:54:43,896 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4364 [2025-03-11 01:54:43,938 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2782 [2025-03-11 01:54:43,989 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8637 [2025-03-11 01:54:44,060 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.5210 [2025-03-11 01:54:44,116 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6534 [2025-03-11 01:54:44,164 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2775 [2025-03-11 01:54:44,200 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4718 [2025-03-11 01:54:44,239 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2746 [2025-03-11 01:54:44,308 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8118 [2025-03-11 01:54:44,346 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4320 [2025-03-11 01:54:44,396 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0020 [2025-03-11 01:54:44,439 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.6821 [2025-03-11 01:54:44,477 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1804 [2025-03-11 01:54:44,514 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.5627 [2025-03-11 01:54:44,551 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.1919 [2025-03-11 01:54:44,586 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.1392 [2025-03-11 01:54:44,622 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6706 [2025-03-11 01:54:44,654 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1996 [2025-03-11 01:54:44,695 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.9212 [2025-03-11 01:54:44,737 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.0775 [2025-03-11 01:54:44,781 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0151 [2025-03-11 01:54:44,820 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.4476 [2025-03-11 01:54:44,849 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2478 [2025-03-11 01:54:44,890 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9424 [2025-03-11 01:54:44,932 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5466 [2025-03-11 01:54:44,961 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8034 [2025-03-11 01:54:45,001 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0383 [2025-03-11 01:54:45,038 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2983 [2025-03-11 01:54:45,098 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9304 [2025-03-11 01:54:45,130 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2291 [2025-03-11 01:54:45,177 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.4859 [2025-03-11 01:54:45,217 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1763 [2025-03-11 01:54:45,259 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.2593 [2025-03-11 01:54:45,294 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4074 [2025-03-11 01:54:45,359 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.2189 [2025-03-11 01:54:45,406 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7251 [2025-03-11 01:54:45,463 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5067 [2025-03-11 01:54:45,521 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7924 [2025-03-11 01:54:45,569 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.3162 [2025-03-11 01:54:45,623 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6213 [2025-03-11 01:54:45,655 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.8343 [2025-03-11 01:54:45,717 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6064 [2025-03-11 01:54:45,743 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8956 [2025-03-11 01:54:46,954 INFO hook.py line 674 2389709] ######################################## [2025-03-11 01:54:46,954 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 01:54:46,954 INFO hook.py line 680 2389709] ######################################## [2025-03-11 01:54:46,955 INFO hook.py line 689 2389709] wall : 0.7722 0.9184 [2025-03-11 01:54:46,955 INFO hook.py line 689 2389709] chair : 0.7508 0.8950 [2025-03-11 01:54:46,955 INFO hook.py line 689 2389709] floor : 0.9552 0.9792 [2025-03-11 01:54:46,955 INFO hook.py line 689 2389709] table : 0.5886 0.7976 [2025-03-11 01:54:46,955 INFO hook.py line 689 2389709] door : 0.5368 0.5751 [2025-03-11 01:54:46,955 INFO hook.py line 689 2389709] couch : 0.7740 0.8501 [2025-03-11 01:54:46,955 INFO hook.py line 689 2389709] cabinet : 0.2686 0.5260 [2025-03-11 01:54:46,955 INFO hook.py line 689 2389709] shelf : 0.3937 0.7129 [2025-03-11 01:54:46,955 INFO hook.py line 689 2389709] desk : 0.4888 0.6290 [2025-03-11 01:54:46,955 INFO hook.py line 689 2389709] office chair : 0.0008 0.0008 [2025-03-11 01:54:46,955 INFO hook.py line 689 2389709] bed : 0.7679 0.8752 [2025-03-11 01:54:46,956 INFO hook.py line 689 2389709] pillow : 0.4563 0.5791 [2025-03-11 01:54:46,956 INFO hook.py line 689 2389709] sink : 0.6235 0.7553 [2025-03-11 01:54:46,956 INFO hook.py line 689 2389709] picture : 0.3443 0.4531 [2025-03-11 01:54:46,956 INFO hook.py line 689 2389709] window : 0.4869 0.5960 [2025-03-11 01:54:46,956 INFO hook.py line 689 2389709] toilet : 0.9102 0.9526 [2025-03-11 01:54:46,956 INFO hook.py line 689 2389709] bookshelf : 0.3873 0.4331 [2025-03-11 01:54:46,956 INFO hook.py line 689 2389709] monitor : 0.8287 0.9155 [2025-03-11 01:54:46,956 INFO hook.py line 689 2389709] curtain : 0.6560 0.8297 [2025-03-11 01:54:46,956 INFO hook.py line 689 2389709] book : 0.3975 0.5669 [2025-03-11 01:54:46,956 INFO hook.py line 689 2389709] armchair : 0.5048 0.9066 [2025-03-11 01:54:46,956 INFO hook.py line 689 2389709] coffee table : 0.6210 0.8893 [2025-03-11 01:54:46,957 INFO hook.py line 689 2389709] box : 0.2364 0.3667 [2025-03-11 01:54:46,957 INFO hook.py line 689 2389709] refrigerator : 0.5203 0.5525 [2025-03-11 01:54:46,957 INFO hook.py line 689 2389709] lamp : 0.5836 0.7429 [2025-03-11 01:54:46,957 INFO hook.py line 689 2389709] kitchen cabinet: 0.5470 0.6478 [2025-03-11 01:54:46,957 INFO hook.py line 689 2389709] towel : 0.4403 0.5487 [2025-03-11 01:54:46,957 INFO hook.py line 689 2389709] clothes : 0.1832 0.2315 [2025-03-11 01:54:46,957 INFO hook.py line 689 2389709] tv : 0.8163 0.8798 [2025-03-11 01:54:46,957 INFO hook.py line 689 2389709] nightstand : 0.4222 0.8353 [2025-03-11 01:54:46,957 INFO hook.py line 689 2389709] counter : 0.1430 0.1923 [2025-03-11 01:54:46,957 INFO hook.py line 689 2389709] dresser : 0.2956 0.3698 [2025-03-11 01:54:46,958 INFO hook.py line 689 2389709] stool : 0.3849 0.5861 [2025-03-11 01:54:46,958 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 01:54:46,958 INFO hook.py line 689 2389709] plant : 0.6886 0.9232 [2025-03-11 01:54:46,958 INFO hook.py line 689 2389709] ceiling : 0.9183 0.9605 [2025-03-11 01:54:46,958 INFO hook.py line 689 2389709] bathtub : 0.8622 0.8976 [2025-03-11 01:54:46,958 INFO hook.py line 689 2389709] end table : 0.0868 0.2249 [2025-03-11 01:54:46,958 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 [2025-03-11 01:54:46,958 INFO hook.py line 689 2389709] keyboard : 0.3754 0.5469 [2025-03-11 01:54:46,958 INFO hook.py line 689 2389709] bag : 0.0689 0.0730 [2025-03-11 01:54:46,958 INFO hook.py line 689 2389709] backpack : 0.5755 0.6413 [2025-03-11 01:54:46,958 INFO hook.py line 689 2389709] toilet paper : 0.4374 0.5983 [2025-03-11 01:54:46,958 INFO hook.py line 689 2389709] printer : 0.3360 0.6035 [2025-03-11 01:54:46,959 INFO hook.py line 689 2389709] tv stand : 0.5118 0.8773 [2025-03-11 01:54:46,959 INFO hook.py line 689 2389709] whiteboard : 0.4516 0.6005 [2025-03-11 01:54:46,959 INFO hook.py line 689 2389709] blanket : 0.0032 0.0033 [2025-03-11 01:54:46,959 INFO hook.py line 689 2389709] shower curtain : 0.6540 0.7230 [2025-03-11 01:54:46,959 INFO hook.py line 689 2389709] trash can : 0.6039 0.8444 [2025-03-11 01:54:46,959 INFO hook.py line 689 2389709] closet : 0.0343 0.0382 [2025-03-11 01:54:46,959 INFO hook.py line 689 2389709] stairs : 0.5807 0.6558 [2025-03-11 01:54:46,959 INFO hook.py line 689 2389709] microwave : 0.4633 0.5679 [2025-03-11 01:54:46,959 INFO hook.py line 689 2389709] stove : 0.5508 0.6675 [2025-03-11 01:54:46,959 INFO hook.py line 689 2389709] shoe : 0.3985 0.5350 [2025-03-11 01:54:46,959 INFO hook.py line 689 2389709] computer tower : 0.5246 0.7508 [2025-03-11 01:54:46,960 INFO hook.py line 689 2389709] bottle : 0.1103 0.1676 [2025-03-11 01:54:46,960 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 01:54:46,960 INFO hook.py line 689 2389709] ottoman : 0.1378 0.2404 [2025-03-11 01:54:46,960 INFO hook.py line 689 2389709] bench : 0.1529 0.1835 [2025-03-11 01:54:46,960 INFO hook.py line 689 2389709] board : 0.1037 0.1882 [2025-03-11 01:54:46,960 INFO hook.py line 689 2389709] washing machine: 0.6284 0.7342 [2025-03-11 01:54:46,960 INFO hook.py line 689 2389709] mirror : 0.3132 0.3608 [2025-03-11 01:54:46,960 INFO hook.py line 689 2389709] copier : 0.5626 0.9033 [2025-03-11 01:54:46,960 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 01:54:46,960 INFO hook.py line 689 2389709] sofa chair : 0.0000 0.0000 [2025-03-11 01:54:46,960 INFO hook.py line 689 2389709] file cabinet : 0.3615 0.6286 [2025-03-11 01:54:46,961 INFO hook.py line 689 2389709] fan : 0.2843 0.3725 [2025-03-11 01:54:46,961 INFO hook.py line 689 2389709] laptop : 0.2744 0.3700 [2025-03-11 01:54:46,961 INFO hook.py line 689 2389709] shower : 0.3506 0.4452 [2025-03-11 01:54:46,961 INFO hook.py line 689 2389709] paper : 0.0612 0.0951 [2025-03-11 01:54:46,961 INFO hook.py line 689 2389709] person : 0.0938 0.1912 [2025-03-11 01:54:46,961 INFO hook.py line 689 2389709] paper towel dispenser: 0.4693 0.6501 [2025-03-11 01:54:46,961 INFO hook.py line 689 2389709] oven : 0.0287 0.0369 [2025-03-11 01:54:46,961 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 01:54:46,961 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 01:54:46,961 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 01:54:46,961 INFO hook.py line 689 2389709] blackboard : 0.5617 0.6090 [2025-03-11 01:54:46,961 INFO hook.py line 689 2389709] piano : 0.0000 0.0000 [2025-03-11 01:54:46,962 INFO hook.py line 689 2389709] suitcase : 0.3725 0.5657 [2025-03-11 01:54:46,962 INFO hook.py line 689 2389709] rail : 0.0055 0.0055 [2025-03-11 01:54:46,962 INFO hook.py line 689 2389709] radiator : 0.5462 0.6353 [2025-03-11 01:54:46,962 INFO hook.py line 689 2389709] recycling bin : 0.4721 0.5092 [2025-03-11 01:54:46,962 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 01:54:46,962 INFO hook.py line 689 2389709] wardrobe : 0.0862 0.2737 [2025-03-11 01:54:46,962 INFO hook.py line 689 2389709] soap dispenser : 0.6144 0.9014 [2025-03-11 01:54:46,962 INFO hook.py line 689 2389709] telephone : 0.2038 0.4318 [2025-03-11 01:54:46,962 INFO hook.py line 689 2389709] bucket : 0.2171 0.2729 [2025-03-11 01:54:46,962 INFO hook.py line 689 2389709] clock : 0.1959 0.2680 [2025-03-11 01:54:46,962 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] light : 0.0301 0.0549 [2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 [2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] pipe : 0.0759 0.2004 [2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] clothes dryer : 0.4705 0.4718 [2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] guitar : 0.0637 0.1491 [2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] ladder : 0.4092 0.5696 [2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] bathroom stall : 0.2648 0.2871 [2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] shower wall : 0.4812 0.5653 [2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] cup : 0.1247 0.5182 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] jacket : 0.1882 0.3162 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] storage bin : 0.0007 0.0007 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] coffee maker : 0.8033 0.9442 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] dishwasher : 0.0133 0.0155 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] paper towel roll: 0.1135 0.2180 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] mat : 0.0635 0.0653 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] windowsill : 0.2464 0.3695 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] bar : 0.0601 0.1761 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] bulletin board : 0.1163 0.1228 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] fireplace : 0.4402 0.4580 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] soap dish : 0.1989 0.6284 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] kitchen counter: 0.4446 0.5248 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] doorframe : 0.3277 0.5222 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] toilet paper dispenser: 0.1793 0.2036 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] mini fridge : 0.1682 0.3610 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] fire extinguisher: 0.0119 0.0186 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] ball : 0.0700 0.9425 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] shower curtain rod: 0.4543 0.6685 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] water cooler : 0.4024 0.4796 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] paper cutter : 0.1426 0.1638 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] tray : 0.0078 0.0112 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] shower door : 0.0823 0.1054 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] pillar : 0.0136 0.0143 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] ledge : 0.0046 0.0049 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] toaster oven : 0.0520 0.0521 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] mouse : 0.0197 0.4163 [2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.4919 0.5806 [2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] cart : 0.2356 0.5442 [2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] scale : 0.0859 0.1286 [2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] tissue box : 0.1150 0.1935 [2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] light switch : 0.0058 0.0432 [2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] decoration : 0.2701 0.3457 [2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] sign : 0.0277 0.1098 [2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 [2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] closet door : 0.0391 0.0428 [2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] vacuum cleaner : 0.5247 0.7400 [2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] plunger : 0.2216 0.9427 [2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] dish rack : 0.1504 0.1876 [2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] broom : 0.0000 0.0000 [2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] range hood : 0.4189 0.4340 [2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] dustpan : 0.0038 0.0038 [2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 01:54:46,970 INFO hook.py line 689 2389709] handicap bar : 0.0563 0.8179 [2025-03-11 01:54:46,970 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 01:54:46,970 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 01:54:46,970 INFO hook.py line 689 2389709] shower floor : 0.3243 0.3243 [2025-03-11 01:54:46,970 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 01:54:46,970 INFO hook.py line 689 2389709] mailbox : 0.4304 0.4576 [2025-03-11 01:54:46,970 INFO hook.py line 689 2389709] bowl : 0.1294 0.1626 [2025-03-11 01:54:46,970 INFO hook.py line 689 2389709] paper bag : 0.0238 0.0464 [2025-03-11 01:54:46,970 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 01:54:46,970 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 01:54:46,970 INFO hook.py line 689 2389709] projector screen: 0.0004 0.0006 [2025-03-11 01:54:46,971 INFO hook.py line 689 2389709] divider : 0.3796 0.4829 [2025-03-11 01:54:46,971 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 01:54:46,971 INFO hook.py line 689 2389709] bathroom counter: 0.2411 0.3628 [2025-03-11 01:54:46,971 INFO hook.py line 689 2389709] object : 0.0432 0.1174 [2025-03-11 01:54:46,971 INFO hook.py line 689 2389709] bathroom vanity: 0.4754 0.7125 [2025-03-11 01:54:46,971 INFO hook.py line 689 2389709] closet wall : 0.0838 0.0998 [2025-03-11 01:54:46,971 INFO hook.py line 689 2389709] laundry hamper : 0.0680 0.0788 [2025-03-11 01:54:46,971 INFO hook.py line 689 2389709] bathroom stall door: 0.5018 0.8218 [2025-03-11 01:54:46,971 INFO hook.py line 689 2389709] ceiling light : 0.2792 0.3366 [2025-03-11 01:54:46,971 INFO hook.py line 689 2389709] trash bin : 0.1105 0.1288 [2025-03-11 01:54:46,971 INFO hook.py line 689 2389709] dumbbell : 0.0681 0.9716 [2025-03-11 01:54:46,972 INFO hook.py line 689 2389709] stair rail : 0.0110 0.0115 [2025-03-11 01:54:46,972 INFO hook.py line 689 2389709] tube : 0.0048 0.0099 [2025-03-11 01:54:46,972 INFO hook.py line 689 2389709] bathroom cabinet: 0.3217 0.4513 [2025-03-11 01:54:46,972 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 01:54:46,972 INFO hook.py line 689 2389709] closet rod : 0.3852 0.9008 [2025-03-11 01:54:46,972 INFO hook.py line 689 2389709] coffee kettle : 0.0625 0.0684 [2025-03-11 01:54:46,972 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 01:54:46,972 INFO hook.py line 689 2389709] shower head : 0.2942 0.3787 [2025-03-11 01:54:46,972 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 01:54:46,972 INFO hook.py line 689 2389709] case of water bottles: 0.0225 0.0230 [2025-03-11 01:54:46,972 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 01:54:46,972 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 01:54:46,973 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 01:54:46,973 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 01:54:46,973 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 01:54:46,973 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 01:54:46,973 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 01:54:46,973 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 01:54:46,973 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 01:54:46,973 INFO hook.py line 689 2389709] mattress : 0.0527 0.0608 [2025-03-11 01:54:46,973 INFO hook.py line 690 2389709] ######################################## [2025-03-11 01:54:46,974 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2346/0.3305/0.7918. [2025-03-11 01:54:46,974 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 01:54:47,003 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2470 [2025-03-11 01:54:47,004 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 01:55:17,001 INFO hook.py line 566 2389709] Train: [15/100][50/300] Data 0.002 (0.002) Batch 0.524 (0.495) Remain 03:32:33 loss: 1.0927 Lr: 4.88594e-03 [2025-03-11 01:55:41,486 INFO hook.py line 566 2389709] Train: [15/100][100/300] Data 0.003 (0.002) Batch 0.581 (0.492) Remain 03:30:54 loss: 0.9621 Lr: 4.88179e-03 [2025-03-11 01:56:06,094 INFO hook.py line 566 2389709] Train: [15/100][150/300] Data 0.003 (0.002) Batch 0.486 (0.492) Remain 03:30:28 loss: 0.9797 Lr: 4.87757e-03 [2025-03-11 01:56:30,903 INFO hook.py line 566 2389709] Train: [15/100][200/300] Data 0.002 (0.002) Batch 0.441 (0.493) Remain 03:30:28 loss: 1.1064 Lr: 4.87327e-03 [2025-03-11 01:56:55,793 INFO hook.py line 566 2389709] Train: [15/100][250/300] Data 0.002 (0.002) Batch 0.437 (0.494) Remain 03:30:27 loss: 0.9888 Lr: 4.86891e-03 [2025-03-11 01:57:19,615 INFO hook.py line 566 2389709] Train: [15/100][300/300] Data 0.001 (0.002) Batch 0.484 (0.491) Remain 03:28:46 loss: 1.0299 Lr: 4.86447e-03 [2025-03-11 01:57:19,615 INFO misc.py line 135 2389709] Train result: loss: 1.0801 [2025-03-11 01:57:19,716 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 01:58:15,506 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5279 [2025-03-11 01:58:15,562 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.0669 [2025-03-11 01:58:15,599 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6645 [2025-03-11 01:58:15,651 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.6347 [2025-03-11 01:58:15,693 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.2868 [2025-03-11 01:58:15,750 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.7903 [2025-03-11 01:58:15,802 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9488 [2025-03-11 01:58:15,833 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.6260 [2025-03-11 01:58:15,879 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2172 [2025-03-11 01:58:15,918 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.5026 [2025-03-11 01:58:15,965 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2566 [2025-03-11 01:58:16,003 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.5366 [2025-03-11 01:58:16,055 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.2224 [2025-03-11 01:58:16,099 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.9340 [2025-03-11 01:58:16,139 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.4473 [2025-03-11 01:58:16,188 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.4957 [2025-03-11 01:58:16,226 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2027 [2025-03-11 01:58:16,281 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0619 [2025-03-11 01:58:16,323 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4747 [2025-03-11 01:58:16,362 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5087 [2025-03-11 01:58:16,400 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6718 [2025-03-11 01:58:16,442 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7584 [2025-03-11 01:58:16,479 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.7105 [2025-03-11 01:58:16,535 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9481 [2025-03-11 01:58:16,577 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.8687 [2025-03-11 01:58:16,622 INFO hook.py line 748 2389709] Test: [26/78] Loss 1.9743 [2025-03-11 01:58:16,676 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8757 [2025-03-11 01:58:16,725 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7542 [2025-03-11 01:58:16,760 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9837 [2025-03-11 01:58:16,818 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.3066 [2025-03-11 01:58:16,876 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6659 [2025-03-11 01:58:16,910 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2592 [2025-03-11 01:58:16,973 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.3312 [2025-03-11 01:58:17,012 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.5598 [2025-03-11 01:58:17,054 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2612 [2025-03-11 01:58:17,093 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2877 [2025-03-11 01:58:17,135 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.3624 [2025-03-11 01:58:17,174 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7072 [2025-03-11 01:58:17,245 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.3764 [2025-03-11 01:58:17,302 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3718 [2025-03-11 01:58:17,353 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.5491 [2025-03-11 01:58:17,386 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5088 [2025-03-11 01:58:17,446 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.4324 [2025-03-11 01:58:17,507 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.1499 [2025-03-11 01:58:17,547 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.3434 [2025-03-11 01:58:17,598 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.8463 [2025-03-11 01:58:17,637 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.0390 [2025-03-11 01:58:17,675 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.2641 [2025-03-11 01:58:17,710 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.5214 [2025-03-11 01:58:17,747 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.7568 [2025-03-11 01:58:17,777 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.7141 [2025-03-11 01:58:17,817 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7499 [2025-03-11 01:58:17,845 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3662 [2025-03-11 01:58:17,884 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.6120 [2025-03-11 01:58:17,926 INFO hook.py line 748 2389709] Test: [55/78] Loss 0.8367 [2025-03-11 01:58:17,967 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.3660 [2025-03-11 01:58:18,005 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.8768 [2025-03-11 01:58:18,034 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1669 [2025-03-11 01:58:18,076 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7468 [2025-03-11 01:58:18,113 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7063 [2025-03-11 01:58:18,140 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.0235 [2025-03-11 01:58:18,175 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0627 [2025-03-11 01:58:18,217 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.3368 [2025-03-11 01:58:18,274 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.1252 [2025-03-11 01:58:18,303 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.6930 [2025-03-11 01:58:18,349 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7641 [2025-03-11 01:58:18,389 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.2270 [2025-03-11 01:58:18,427 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.7887 [2025-03-11 01:58:18,462 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3880 [2025-03-11 01:58:18,533 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7064 [2025-03-11 01:58:18,577 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.6898 [2025-03-11 01:58:18,632 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7100 [2025-03-11 01:58:18,686 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6265 [2025-03-11 01:58:18,733 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.3285 [2025-03-11 01:58:18,787 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6901 [2025-03-11 01:58:18,819 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.6749 [2025-03-11 01:58:18,878 INFO hook.py line 748 2389709] Test: [77/78] Loss 1.1081 [2025-03-11 01:58:18,905 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9337 [2025-03-11 01:58:20,239 INFO hook.py line 674 2389709] ######################################## [2025-03-11 01:58:20,239 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 01:58:20,239 INFO hook.py line 680 2389709] ######################################## [2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] wall : 0.7574 0.8455 [2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] chair : 0.7601 0.9000 [2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] floor : 0.9549 0.9808 [2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] table : 0.5859 0.6604 [2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] door : 0.6048 0.7818 [2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] couch : 0.7738 0.8490 [2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] cabinet : 0.2250 0.3364 [2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] shelf : 0.3741 0.5496 [2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] desk : 0.4617 0.8566 [2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] office chair : 0.0145 0.0149 [2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] bed : 0.7508 0.8510 [2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] pillow : 0.5098 0.6871 [2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] sink : 0.6005 0.7340 [2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] picture : 0.3046 0.5355 [2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] window : 0.5140 0.6406 [2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] toilet : 0.8884 0.9506 [2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] bookshelf : 0.4021 0.4810 [2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] monitor : 0.8125 0.9363 [2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] curtain : 0.5315 0.5423 [2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] book : 0.3728 0.8141 [2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] armchair : 0.4296 0.6280 [2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] coffee table : 0.6698 0.8404 [2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] box : 0.2349 0.5471 [2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] refrigerator : 0.4645 0.8251 [2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] lamp : 0.6267 0.6774 [2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] kitchen cabinet: 0.5528 0.8332 [2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] towel : 0.4525 0.5503 [2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] clothes : 0.0947 0.1960 [2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] tv : 0.7398 0.8480 [2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] nightstand : 0.6536 0.8175 [2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] counter : 0.1289 0.1666 [2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] dresser : 0.3169 0.6369 [2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] stool : 0.4199 0.5065 [2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] plant : 0.7072 0.7632 [2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] ceiling : 0.9217 0.9590 [2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] bathtub : 0.8496 0.9159 [2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] end table : 0.1865 0.2859 [2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 [2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] keyboard : 0.2738 0.6101 [2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] bag : 0.1531 0.2226 [2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] backpack : 0.5825 0.6688 [2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] toilet paper : 0.3891 0.4353 [2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] printer : 0.2204 0.6893 [2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] tv stand : 0.6422 0.7517 [2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] whiteboard : 0.3842 0.4247 [2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] blanket : 0.0002 0.0002 [2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] shower curtain : 0.5570 0.7054 [2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] trash can : 0.5709 0.8222 [2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] closet : 0.0754 0.2093 [2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] stairs : 0.4990 0.6608 [2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] microwave : 0.2731 0.7999 [2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] stove : 0.4878 0.8032 [2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] shoe : 0.3616 0.5886 [2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] computer tower : 0.4817 0.5237 [2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] bottle : 0.0683 0.1760 [2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] ottoman : 0.3863 0.5644 [2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] bench : 0.5048 0.5716 [2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] board : 0.1507 0.3607 [2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] washing machine: 0.6233 0.8718 [2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] mirror : 0.2283 0.5928 [2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] copier : 0.6821 0.9409 [2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] sofa chair : 0.1116 0.2691 [2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] file cabinet : 0.3756 0.5552 [2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] fan : 0.1391 0.1617 [2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] laptop : 0.2712 0.5887 [2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] shower : 0.1777 0.2226 [2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] paper : 0.0508 0.2888 [2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] person : 0.1714 0.2621 [2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] paper towel dispenser: 0.4484 0.6752 [2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] oven : 0.1157 0.1365 [2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] blinds : 0.0162 0.0182 [2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] blackboard : 0.5589 0.7030 [2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] piano : 0.4481 0.7341 [2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] suitcase : 0.5301 0.7361 [2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] rail : 0.0028 0.0028 [2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] radiator : 0.5606 0.6651 [2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] recycling bin : 0.3234 0.3400 [2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] container : 0.1593 0.2552 [2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] wardrobe : 0.1545 0.2034 [2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] soap dispenser : 0.6939 0.8409 [2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] telephone : 0.2131 0.4442 [2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] bucket : 0.1497 0.1795 [2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] clock : 0.1935 0.3221 [2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] stand : 0.0047 0.0692 [2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] light : 0.1873 0.3702 [2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] laundry basket : 0.0477 0.0508 [2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] pipe : 0.0444 0.0559 [2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] clothes dryer : 0.3708 0.3904 [2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] guitar : 0.5153 0.7242 [2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] column : 0.0220 0.1232 [2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] ladder : 0.3034 0.5818 [2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] bathroom stall : 0.4185 0.7091 [2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] shower wall : 0.4716 0.7302 [2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] cup : 0.0992 0.6443 [2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] jacket : 0.0914 0.1617 [2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] storage bin : 0.0381 0.0445 [2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] coffee maker : 0.1433 0.9317 [2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] dishwasher : 0.1458 0.2669 [2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] paper towel roll: 0.1907 0.6346 [2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] mat : 0.1149 0.1379 [2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] windowsill : 0.2163 0.2683 [2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] bar : 0.1203 0.1817 [2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] bulletin board : 0.2851 0.3827 [2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 [2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] fireplace : 0.4008 0.4259 [2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] soap dish : 0.2640 0.4822 [2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] kitchen counter: 0.4990 0.7802 [2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] doorframe : 0.3614 0.6158 [2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2639 0.3025 [2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] mini fridge : 0.2330 0.3820 [2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] fire extinguisher: 0.1099 0.1450 [2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] ball : 0.2576 0.9410 [2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] shower curtain rod: 0.3370 0.8665 [2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] water cooler : 0.1695 0.9286 [2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] paper cutter : 0.2215 0.2422 [2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 [2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] shower door : 0.0545 0.1251 [2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] pillar : 0.0447 0.0687 [2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] ledge : 0.0595 0.1162 [2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] toaster oven : 0.1794 0.1970 [2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] mouse : 0.0323 0.2368 [2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.4540 0.7930 [2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] cart : 0.1524 0.1760 [2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] scale : 0.1159 0.8985 [2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] tissue box : 0.0907 0.1193 [2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 [2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] decoration : 0.0199 0.0389 [2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] sign : 0.0590 0.0967 [2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 [2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] closet door : 0.1118 0.1260 [2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] vacuum cleaner : 0.6784 0.8952 [2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] plunger : 0.4112 0.9003 [2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] dish rack : 0.1065 0.7216 [2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] broom : 0.0099 0.0442 [2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] range hood : 0.5428 0.7397 [2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] dustpan : 0.0128 0.1863 [2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] handicap bar : 0.0340 0.5044 [2025-03-11 01:58:20,250 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 01:58:20,250 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 01:58:20,250 INFO hook.py line 689 2389709] shower floor : 0.3433 0.4204 [2025-03-11 01:58:20,250 INFO hook.py line 689 2389709] water pitcher : 0.0599 0.9611 [2025-03-11 01:58:20,250 INFO hook.py line 689 2389709] mailbox : 0.2347 0.2359 [2025-03-11 01:58:20,250 INFO hook.py line 689 2389709] bowl : 0.0063 0.0094 [2025-03-11 01:58:20,250 INFO hook.py line 689 2389709] paper bag : 0.0455 0.0677 [2025-03-11 01:58:20,250 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 01:58:20,250 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 01:58:20,250 INFO hook.py line 689 2389709] projector screen: 0.0106 0.0111 [2025-03-11 01:58:20,250 INFO hook.py line 689 2389709] divider : 0.4152 0.4946 [2025-03-11 01:58:20,250 INFO hook.py line 689 2389709] laundry detergent: 0.1046 0.1439 [2025-03-11 01:58:20,251 INFO hook.py line 689 2389709] bathroom counter: 0.1717 0.4165 [2025-03-11 01:58:20,251 INFO hook.py line 689 2389709] object : 0.0280 0.0970 [2025-03-11 01:58:20,251 INFO hook.py line 689 2389709] bathroom vanity: 0.4092 0.7870 [2025-03-11 01:58:20,251 INFO hook.py line 689 2389709] closet wall : 0.1330 0.2769 [2025-03-11 01:58:20,251 INFO hook.py line 689 2389709] laundry hamper : 0.0127 0.0152 [2025-03-11 01:58:20,251 INFO hook.py line 689 2389709] bathroom stall door: 0.4741 0.7140 [2025-03-11 01:58:20,251 INFO hook.py line 689 2389709] ceiling light : 0.3349 0.3824 [2025-03-11 01:58:20,251 INFO hook.py line 689 2389709] trash bin : 0.2316 0.5265 [2025-03-11 01:58:20,251 INFO hook.py line 689 2389709] dumbbell : 0.1563 0.9843 [2025-03-11 01:58:20,251 INFO hook.py line 689 2389709] stair rail : 0.1163 0.1457 [2025-03-11 01:58:20,251 INFO hook.py line 689 2389709] tube : 0.0367 0.0738 [2025-03-11 01:58:20,251 INFO hook.py line 689 2389709] bathroom cabinet: 0.2664 0.5204 [2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] closet rod : 0.5166 0.7114 [2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] shower head : 0.2098 0.3881 [2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] case of water bottles: 0.0572 0.0617 [2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 01:58:20,253 INFO hook.py line 689 2389709] potted plant : 0.0814 0.0998 [2025-03-11 01:58:20,253 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 01:58:20,253 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 [2025-03-11 01:58:20,253 INFO hook.py line 690 2389709] ######################################## [2025-03-11 01:58:20,253 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2434/0.3782/0.7796. [2025-03-11 01:58:20,253 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 01:58:20,267 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2470 [2025-03-11 01:58:20,267 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 01:58:50,609 INFO hook.py line 566 2389709] Train: [16/100][50/300] Data 0.002 (0.002) Batch 0.485 (0.497) Remain 03:30:43 loss: 1.4325 Lr: 4.85996e-03 [2025-03-11 01:59:14,729 INFO hook.py line 566 2389709] Train: [16/100][100/300] Data 0.002 (0.002) Batch 0.444 (0.489) Remain 03:27:09 loss: 0.8283 Lr: 4.85537e-03 [2025-03-11 01:59:38,901 INFO hook.py line 566 2389709] Train: [16/100][150/300] Data 0.003 (0.002) Batch 0.516 (0.487) Remain 03:25:54 loss: 1.3164 Lr: 4.85072e-03 [2025-03-11 02:00:03,173 INFO hook.py line 566 2389709] Train: [16/100][200/300] Data 0.003 (0.002) Batch 0.461 (0.487) Remain 03:25:17 loss: 1.3276 Lr: 4.84599e-03 [2025-03-11 02:00:28,580 INFO hook.py line 566 2389709] Train: [16/100][250/300] Data 0.003 (0.002) Batch 0.586 (0.491) Remain 03:26:42 loss: 0.9246 Lr: 4.84120e-03 [2025-03-11 02:00:52,715 INFO hook.py line 566 2389709] Train: [16/100][300/300] Data 0.002 (0.002) Batch 0.449 (0.490) Remain 03:25:41 loss: 1.3052 Lr: 4.83633e-03 [2025-03-11 02:00:52,716 INFO misc.py line 135 2389709] Train result: loss: 1.0498 [2025-03-11 02:00:52,811 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 02:01:47,448 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5947 [2025-03-11 02:01:47,534 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.6777 [2025-03-11 02:01:47,582 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7563 [2025-03-11 02:01:47,634 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5088 [2025-03-11 02:01:47,673 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8533 [2025-03-11 02:01:47,731 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8267 [2025-03-11 02:01:47,783 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8680 [2025-03-11 02:01:47,834 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3740 [2025-03-11 02:01:47,891 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.4307 [2025-03-11 02:01:47,930 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2573 [2025-03-11 02:01:47,976 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1527 [2025-03-11 02:01:48,013 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2042 [2025-03-11 02:01:48,062 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.4277 [2025-03-11 02:01:48,120 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.1907 [2025-03-11 02:01:48,161 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.3991 [2025-03-11 02:01:48,228 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.4629 [2025-03-11 02:01:48,272 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1444 [2025-03-11 02:01:48,315 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1683 [2025-03-11 02:01:48,362 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4214 [2025-03-11 02:01:48,401 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6622 [2025-03-11 02:01:48,440 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.8478 [2025-03-11 02:01:48,486 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8145 [2025-03-11 02:01:48,519 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.6796 [2025-03-11 02:01:48,575 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.8853 [2025-03-11 02:01:48,619 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.8928 [2025-03-11 02:01:48,672 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2558 [2025-03-11 02:01:48,729 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.5320 [2025-03-11 02:01:48,770 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6045 [2025-03-11 02:01:48,805 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1731 [2025-03-11 02:01:48,862 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.6653 [2025-03-11 02:01:48,922 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6327 [2025-03-11 02:01:48,963 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1525 [2025-03-11 02:01:49,025 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.6556 [2025-03-11 02:01:49,068 INFO hook.py line 748 2389709] Test: [34/78] Loss 3.0958 [2025-03-11 02:01:49,108 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.0055 [2025-03-11 02:01:49,149 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2275 [2025-03-11 02:01:49,189 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.0280 [2025-03-11 02:01:49,220 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8811 [2025-03-11 02:01:49,288 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.5582 [2025-03-11 02:01:49,340 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5824 [2025-03-11 02:01:49,387 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2527 [2025-03-11 02:01:49,428 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4628 [2025-03-11 02:01:49,466 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1800 [2025-03-11 02:01:49,528 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8559 [2025-03-11 02:01:49,567 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.5635 [2025-03-11 02:01:49,619 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1413 [2025-03-11 02:01:49,658 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8145 [2025-03-11 02:01:49,696 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0806 [2025-03-11 02:01:49,731 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.2712 [2025-03-11 02:01:49,768 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.3390 [2025-03-11 02:01:49,803 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0282 [2025-03-11 02:01:49,843 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.4599 [2025-03-11 02:01:49,874 INFO hook.py line 748 2389709] Test: [53/78] Loss 0.8709 [2025-03-11 02:01:49,914 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.5543 [2025-03-11 02:01:49,955 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4313 [2025-03-11 02:01:49,997 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.6574 [2025-03-11 02:01:50,035 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.9697 [2025-03-11 02:01:50,064 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2184 [2025-03-11 02:01:50,106 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8936 [2025-03-11 02:01:50,147 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5832 [2025-03-11 02:01:50,182 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9116 [2025-03-11 02:01:50,222 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.8903 [2025-03-11 02:01:50,263 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0582 [2025-03-11 02:01:50,321 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6112 [2025-03-11 02:01:50,353 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.5366 [2025-03-11 02:01:50,400 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.6151 [2025-03-11 02:01:50,442 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0262 [2025-03-11 02:01:50,483 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.4099 [2025-03-11 02:01:50,518 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3708 [2025-03-11 02:01:50,583 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0994 [2025-03-11 02:01:50,626 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.2645 [2025-03-11 02:01:50,683 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.3919 [2025-03-11 02:01:50,740 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6868 [2025-03-11 02:01:50,787 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.1781 [2025-03-11 02:01:50,842 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6849 [2025-03-11 02:01:50,874 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.6513 [2025-03-11 02:01:50,936 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6434 [2025-03-11 02:01:50,967 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9515 [2025-03-11 02:01:52,187 INFO hook.py line 674 2389709] ######################################## [2025-03-11 02:01:52,187 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 02:01:52,187 INFO hook.py line 680 2389709] ######################################## [2025-03-11 02:01:52,187 INFO hook.py line 689 2389709] wall : 0.7805 0.9069 [2025-03-11 02:01:52,187 INFO hook.py line 689 2389709] chair : 0.7505 0.8774 [2025-03-11 02:01:52,187 INFO hook.py line 689 2389709] floor : 0.9558 0.9839 [2025-03-11 02:01:52,187 INFO hook.py line 689 2389709] table : 0.6148 0.7551 [2025-03-11 02:01:52,187 INFO hook.py line 689 2389709] door : 0.6360 0.7660 [2025-03-11 02:01:52,187 INFO hook.py line 689 2389709] couch : 0.6972 0.9050 [2025-03-11 02:01:52,187 INFO hook.py line 689 2389709] cabinet : 0.3178 0.4609 [2025-03-11 02:01:52,187 INFO hook.py line 689 2389709] shelf : 0.4054 0.5603 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] desk : 0.5034 0.7493 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] office chair : 0.0023 0.0023 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] bed : 0.5998 0.6204 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] pillow : 0.4908 0.6357 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] sink : 0.5955 0.7356 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] picture : 0.3318 0.3895 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] window : 0.5452 0.7905 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] toilet : 0.9363 0.9673 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] bookshelf : 0.4637 0.6308 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] monitor : 0.8297 0.8949 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] curtain : 0.6106 0.8382 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] book : 0.3928 0.7611 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] armchair : 0.3324 0.3881 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] coffee table : 0.7276 0.8820 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] box : 0.2613 0.3511 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] refrigerator : 0.6314 0.7745 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] lamp : 0.5690 0.6010 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] kitchen cabinet: 0.6467 0.8058 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] towel : 0.3807 0.5360 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] clothes : 0.1231 0.3519 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] tv : 0.7944 0.9473 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] nightstand : 0.6048 0.7808 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] counter : 0.2276 0.4131 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] dresser : 0.2636 0.3037 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] stool : 0.4122 0.6431 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] plant : 0.6974 0.8624 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] ceiling : 0.9176 0.9473 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] bathtub : 0.8515 0.8957 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] end table : 0.1389 0.2271 [2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] keyboard : 0.4024 0.5581 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] bag : 0.2283 0.3620 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] backpack : 0.5228 0.7931 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] toilet paper : 0.4536 0.5418 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] printer : 0.3272 0.4248 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] tv stand : 0.5445 0.8805 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] whiteboard : 0.4639 0.5686 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] blanket : 0.0828 0.1399 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] shower curtain : 0.5185 0.7090 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] trash can : 0.5652 0.6733 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] closet : 0.0007 0.0008 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] stairs : 0.4765 0.6895 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] microwave : 0.4355 0.7164 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] stove : 0.5855 0.7707 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] shoe : 0.4678 0.6622 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] computer tower : 0.5067 0.7913 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] bottle : 0.1265 0.1933 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] ottoman : 0.3508 0.7795 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] bench : 0.2825 0.3103 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] board : 0.0946 0.1329 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] washing machine: 0.7562 0.9244 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] mirror : 0.3299 0.3860 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] copier : 0.7180 0.8179 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] sofa chair : 0.1390 0.3423 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] file cabinet : 0.4076 0.6643 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] fan : 0.1343 0.1528 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] laptop : 0.4519 0.6889 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] shower : 0.2257 0.2641 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] paper : 0.0163 0.0305 [2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] person : 0.0426 0.1240 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] paper towel dispenser: 0.5977 0.6955 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] oven : 0.1579 0.2389 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] blackboard : 0.6095 0.6551 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] piano : 0.4212 0.5360 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] suitcase : 0.3744 0.4593 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] rail : 0.0279 0.0295 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] radiator : 0.5053 0.7263 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] recycling bin : 0.2966 0.7202 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] wardrobe : 0.1157 0.1497 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] soap dispenser : 0.8442 0.8883 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] telephone : 0.2168 0.3516 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] bucket : 0.1525 0.5245 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] clock : 0.1787 0.2085 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] light : 0.0156 0.0171 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] laundry basket : 0.0212 0.0254 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] pipe : 0.1460 0.2242 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] clothes dryer : 0.7249 0.7413 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] guitar : 0.1631 0.1635 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] seat : 0.0063 0.0074 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] ladder : 0.1867 0.1887 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] bathroom stall : 0.3082 0.3371 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] shower wall : 0.5202 0.6590 [2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] cup : 0.1115 0.6528 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] jacket : 0.1826 0.2185 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] storage bin : 0.0250 0.0493 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] coffee maker : 0.3314 0.9854 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] dishwasher : 0.1081 0.1597 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] paper towel roll: 0.2516 0.3534 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] mat : 0.1306 0.1460 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] windowsill : 0.1731 0.2074 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] bar : 0.1226 0.1846 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] toaster : 0.0141 0.0152 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] bulletin board : 0.2575 0.5367 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] ironing board : 0.0015 0.0021 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] fireplace : 0.4804 0.4910 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] soap dish : 0.3111 0.4141 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] kitchen counter: 0.4760 0.6015 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] doorframe : 0.3183 0.5761 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2888 0.4091 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] mini fridge : 0.1712 0.3061 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] fire extinguisher: 0.0982 0.1689 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] ball : 0.3301 0.4213 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] shower curtain rod: 0.2697 0.8074 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] water cooler : 0.2372 0.5650 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] paper cutter : 0.1951 0.2434 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] shower door : 0.0370 0.1070 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] pillar : 0.0137 0.0138 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] ledge : 0.0380 0.0539 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] toaster oven : 0.1261 0.1429 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] mouse : 0.0326 0.5304 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5721 0.6604 [2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] cart : 0.1295 0.1499 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] scale : 0.1741 0.8604 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] tissue box : 0.1193 0.1995 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] light switch : 0.0144 0.0552 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] decoration : 0.2873 0.3590 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] closet door : 0.0166 0.0168 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] vacuum cleaner : 0.5151 0.5631 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] plunger : 0.4712 0.9175 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] dish rack : 0.2292 0.6107 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] broom : 0.0027 0.0029 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] range hood : 0.6264 0.6584 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] dustpan : 0.0837 0.1388 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] handicap bar : 0.0788 0.8567 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] shower floor : 0.4822 0.9278 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] mailbox : 0.2164 0.2166 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] bowl : 0.0017 0.0031 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] paper bag : 0.0446 0.1166 [2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] projector screen: 0.0005 0.0005 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] divider : 0.4521 0.5276 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] laundry detergent: 0.2332 0.2547 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] bathroom counter: 0.2559 0.3082 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] object : 0.0481 0.1175 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] bathroom vanity: 0.4424 0.8555 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] closet wall : 0.0962 0.1366 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] laundry hamper : 0.1368 0.2263 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] bathroom stall door: 0.5225 0.8010 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] ceiling light : 0.2774 0.4966 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] trash bin : 0.4072 0.5640 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] dumbbell : 0.5977 0.9626 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] stair rail : 0.0755 0.0908 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] tube : 0.0502 0.0825 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] bathroom cabinet: 0.0442 0.0467 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] closet rod : 0.4933 0.9304 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] coffee kettle : 0.0608 0.0810 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] shower head : 0.3065 0.3344 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] case of water bottles: 0.1122 0.1136 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 02:01:52,194 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 02:01:52,194 INFO hook.py line 689 2389709] mattress : 0.0100 0.0100 [2025-03-11 02:01:52,194 INFO hook.py line 690 2389709] ######################################## [2025-03-11 02:01:52,194 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2555/0.3610/0.7998. [2025-03-11 02:01:52,194 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 02:01:52,211 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2555 [2025-03-11 02:01:52,211 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2555 [2025-03-11 02:01:52,211 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 02:02:22,753 INFO hook.py line 566 2389709] Train: [17/100][50/300] Data 0.002 (0.002) Batch 0.540 (0.491) Remain 03:25:39 loss: 0.7728 Lr: 4.83139e-03 [2025-03-11 02:02:47,305 INFO hook.py line 566 2389709] Train: [17/100][100/300] Data 0.002 (0.002) Batch 0.471 (0.491) Remain 03:25:19 loss: 1.1577 Lr: 4.82638e-03 [2025-03-11 02:03:11,864 INFO hook.py line 566 2389709] Train: [17/100][150/300] Data 0.003 (0.002) Batch 0.523 (0.491) Remain 03:24:58 loss: 0.9897 Lr: 4.82130e-03 [2025-03-11 02:03:36,348 INFO hook.py line 566 2389709] Train: [17/100][200/300] Data 0.002 (0.002) Batch 0.447 (0.491) Remain 03:24:25 loss: 0.9612 Lr: 4.81615e-03 [2025-03-11 02:04:00,803 INFO hook.py line 566 2389709] Train: [17/100][250/300] Data 0.002 (0.002) Batch 0.505 (0.490) Remain 03:23:53 loss: 1.0172 Lr: 4.81093e-03 [2025-03-11 02:04:24,870 INFO hook.py line 566 2389709] Train: [17/100][300/300] Data 0.002 (0.002) Batch 0.547 (0.489) Remain 03:22:51 loss: 0.8904 Lr: 4.80564e-03 [2025-03-11 02:04:24,870 INFO misc.py line 135 2389709] Train result: loss: 1.0463 [2025-03-11 02:04:24,969 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 02:05:14,574 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5232 [2025-03-11 02:05:14,672 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2401 [2025-03-11 02:05:14,715 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7530 [2025-03-11 02:05:14,767 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5308 [2025-03-11 02:05:14,807 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9129 [2025-03-11 02:05:14,862 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.7575 [2025-03-11 02:05:14,918 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9514 [2025-03-11 02:05:14,953 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3858 [2025-03-11 02:05:15,000 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.6000 [2025-03-11 02:05:15,038 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.4063 [2025-03-11 02:05:15,087 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.0709 [2025-03-11 02:05:15,128 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.8720 [2025-03-11 02:05:15,179 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.5384 [2025-03-11 02:05:15,222 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.4747 [2025-03-11 02:05:15,262 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1140 [2025-03-11 02:05:15,309 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.4693 [2025-03-11 02:05:15,350 INFO hook.py line 748 2389709] Test: [17/78] Loss 0.9322 [2025-03-11 02:05:15,390 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1376 [2025-03-11 02:05:15,444 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.1889 [2025-03-11 02:05:15,482 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4948 [2025-03-11 02:05:15,521 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6892 [2025-03-11 02:05:15,562 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.5946 [2025-03-11 02:05:15,598 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.2278 [2025-03-11 02:05:15,655 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.8035 [2025-03-11 02:05:15,701 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.6925 [2025-03-11 02:05:15,743 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.3410 [2025-03-11 02:05:15,801 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.3631 [2025-03-11 02:05:15,842 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7119 [2025-03-11 02:05:15,881 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9168 [2025-03-11 02:05:15,942 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.9865 [2025-03-11 02:05:16,001 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6867 [2025-03-11 02:05:16,040 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2774 [2025-03-11 02:05:16,101 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8075 [2025-03-11 02:05:16,140 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.7943 [2025-03-11 02:05:16,187 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2194 [2025-03-11 02:05:16,226 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3456 [2025-03-11 02:05:16,269 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.3484 [2025-03-11 02:05:16,301 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7522 [2025-03-11 02:05:16,371 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.7911 [2025-03-11 02:05:16,418 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.9008 [2025-03-11 02:05:16,467 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3147 [2025-03-11 02:05:16,500 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5261 [2025-03-11 02:05:16,537 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2588 [2025-03-11 02:05:16,597 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0506 [2025-03-11 02:05:16,633 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.5507 [2025-03-11 02:05:16,680 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9657 [2025-03-11 02:05:16,721 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7276 [2025-03-11 02:05:16,754 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0228 [2025-03-11 02:05:16,789 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3797 [2025-03-11 02:05:16,823 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.9402 [2025-03-11 02:05:16,855 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0554 [2025-03-11 02:05:16,889 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7086 [2025-03-11 02:05:16,925 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1831 [2025-03-11 02:05:16,967 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.5366 [2025-03-11 02:05:17,006 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.0982 [2025-03-11 02:05:17,051 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8025 [2025-03-11 02:05:17,085 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.4409 [2025-03-11 02:05:17,115 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2883 [2025-03-11 02:05:17,153 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7627 [2025-03-11 02:05:17,189 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5770 [2025-03-11 02:05:17,217 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9448 [2025-03-11 02:05:17,253 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9370 [2025-03-11 02:05:17,290 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0345 [2025-03-11 02:05:17,350 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6848 [2025-03-11 02:05:17,377 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.0953 [2025-03-11 02:05:17,425 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.4007 [2025-03-11 02:05:17,464 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.4198 [2025-03-11 02:05:17,502 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9175 [2025-03-11 02:05:17,537 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3028 [2025-03-11 02:05:17,602 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0061 [2025-03-11 02:05:17,645 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.9512 [2025-03-11 02:05:17,701 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.4038 [2025-03-11 02:05:17,755 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.4639 [2025-03-11 02:05:17,802 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.4113 [2025-03-11 02:05:17,857 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6959 [2025-03-11 02:05:17,889 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.8094 [2025-03-11 02:05:17,948 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5996 [2025-03-11 02:05:17,975 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8290 [2025-03-11 02:05:19,287 INFO hook.py line 674 2389709] ######################################## [2025-03-11 02:05:19,287 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 02:05:19,287 INFO hook.py line 680 2389709] ######################################## [2025-03-11 02:05:19,288 INFO hook.py line 689 2389709] wall : 0.7657 0.9345 [2025-03-11 02:05:19,288 INFO hook.py line 689 2389709] chair : 0.6875 0.7452 [2025-03-11 02:05:19,288 INFO hook.py line 689 2389709] floor : 0.9561 0.9772 [2025-03-11 02:05:19,288 INFO hook.py line 689 2389709] table : 0.6385 0.7309 [2025-03-11 02:05:19,288 INFO hook.py line 689 2389709] door : 0.5936 0.6635 [2025-03-11 02:05:19,288 INFO hook.py line 689 2389709] couch : 0.7816 0.8444 [2025-03-11 02:05:19,288 INFO hook.py line 689 2389709] cabinet : 0.2783 0.5415 [2025-03-11 02:05:19,288 INFO hook.py line 689 2389709] shelf : 0.3855 0.5258 [2025-03-11 02:05:19,288 INFO hook.py line 689 2389709] desk : 0.5502 0.7793 [2025-03-11 02:05:19,288 INFO hook.py line 689 2389709] office chair : 0.2937 0.6440 [2025-03-11 02:05:19,289 INFO hook.py line 689 2389709] bed : 0.7514 0.8050 [2025-03-11 02:05:19,289 INFO hook.py line 689 2389709] pillow : 0.4929 0.7804 [2025-03-11 02:05:19,289 INFO hook.py line 689 2389709] sink : 0.6078 0.7783 [2025-03-11 02:05:19,289 INFO hook.py line 689 2389709] picture : 0.3315 0.4109 [2025-03-11 02:05:19,289 INFO hook.py line 689 2389709] window : 0.5600 0.7085 [2025-03-11 02:05:19,289 INFO hook.py line 689 2389709] toilet : 0.9056 0.9584 [2025-03-11 02:05:19,289 INFO hook.py line 689 2389709] bookshelf : 0.4357 0.4979 [2025-03-11 02:05:19,289 INFO hook.py line 689 2389709] monitor : 0.8152 0.8566 [2025-03-11 02:05:19,289 INFO hook.py line 689 2389709] curtain : 0.6854 0.8071 [2025-03-11 02:05:19,289 INFO hook.py line 689 2389709] book : 0.4033 0.7669 [2025-03-11 02:05:19,289 INFO hook.py line 689 2389709] armchair : 0.4794 0.7481 [2025-03-11 02:05:19,289 INFO hook.py line 689 2389709] coffee table : 0.6406 0.8829 [2025-03-11 02:05:19,290 INFO hook.py line 689 2389709] box : 0.2298 0.3645 [2025-03-11 02:05:19,290 INFO hook.py line 689 2389709] refrigerator : 0.6040 0.6713 [2025-03-11 02:05:19,290 INFO hook.py line 689 2389709] lamp : 0.6249 0.6787 [2025-03-11 02:05:19,290 INFO hook.py line 689 2389709] kitchen cabinet: 0.5073 0.5531 [2025-03-11 02:05:19,290 INFO hook.py line 689 2389709] towel : 0.4761 0.5525 [2025-03-11 02:05:19,290 INFO hook.py line 689 2389709] clothes : 0.2288 0.4540 [2025-03-11 02:05:19,290 INFO hook.py line 689 2389709] tv : 0.8362 0.8834 [2025-03-11 02:05:19,290 INFO hook.py line 689 2389709] nightstand : 0.6635 0.8584 [2025-03-11 02:05:19,290 INFO hook.py line 689 2389709] counter : 0.2452 0.4515 [2025-03-11 02:05:19,293 INFO hook.py line 689 2389709] dresser : 0.3531 0.4726 [2025-03-11 02:05:19,293 INFO hook.py line 689 2389709] stool : 0.4706 0.6971 [2025-03-11 02:05:19,293 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 02:05:19,294 INFO hook.py line 689 2389709] plant : 0.5542 0.8853 [2025-03-11 02:05:19,294 INFO hook.py line 689 2389709] ceiling : 0.9094 0.9572 [2025-03-11 02:05:19,294 INFO hook.py line 689 2389709] bathtub : 0.8793 0.9201 [2025-03-11 02:05:19,294 INFO hook.py line 689 2389709] end table : 0.1351 0.2633 [2025-03-11 02:05:19,294 INFO hook.py line 689 2389709] dining table : 0.0147 0.0149 [2025-03-11 02:05:19,294 INFO hook.py line 689 2389709] keyboard : 0.3785 0.4286 [2025-03-11 02:05:19,294 INFO hook.py line 689 2389709] bag : 0.1933 0.3094 [2025-03-11 02:05:19,294 INFO hook.py line 689 2389709] backpack : 0.5591 0.7114 [2025-03-11 02:05:19,294 INFO hook.py line 689 2389709] toilet paper : 0.4658 0.5511 [2025-03-11 02:05:19,294 INFO hook.py line 689 2389709] printer : 0.2463 0.6464 [2025-03-11 02:05:19,295 INFO hook.py line 689 2389709] tv stand : 0.5935 0.9310 [2025-03-11 02:05:19,295 INFO hook.py line 689 2389709] whiteboard : 0.4556 0.5910 [2025-03-11 02:05:19,295 INFO hook.py line 689 2389709] blanket : 0.0368 0.0515 [2025-03-11 02:05:19,295 INFO hook.py line 689 2389709] shower curtain : 0.6622 0.7462 [2025-03-11 02:05:19,295 INFO hook.py line 689 2389709] trash can : 0.5849 0.8199 [2025-03-11 02:05:19,295 INFO hook.py line 689 2389709] closet : 0.0391 0.0463 [2025-03-11 02:05:19,295 INFO hook.py line 689 2389709] stairs : 0.4203 0.6942 [2025-03-11 02:05:19,295 INFO hook.py line 689 2389709] microwave : 0.4263 0.6663 [2025-03-11 02:05:19,295 INFO hook.py line 689 2389709] stove : 0.6448 0.8292 [2025-03-11 02:05:19,295 INFO hook.py line 689 2389709] shoe : 0.3733 0.4727 [2025-03-11 02:05:19,295 INFO hook.py line 689 2389709] computer tower : 0.5197 0.7499 [2025-03-11 02:05:19,296 INFO hook.py line 689 2389709] bottle : 0.1211 0.1627 [2025-03-11 02:05:19,296 INFO hook.py line 689 2389709] bin : 0.0105 0.0135 [2025-03-11 02:05:19,296 INFO hook.py line 689 2389709] ottoman : 0.4094 0.7173 [2025-03-11 02:05:19,296 INFO hook.py line 689 2389709] bench : 0.3624 0.4186 [2025-03-11 02:05:19,296 INFO hook.py line 689 2389709] board : 0.1298 0.1873 [2025-03-11 02:05:19,296 INFO hook.py line 689 2389709] washing machine: 0.7498 0.7996 [2025-03-11 02:05:19,296 INFO hook.py line 689 2389709] mirror : 0.3462 0.4016 [2025-03-11 02:05:19,297 INFO hook.py line 689 2389709] copier : 0.7805 0.9295 [2025-03-11 02:05:19,297 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 02:05:19,297 INFO hook.py line 689 2389709] sofa chair : 0.1121 0.2051 [2025-03-11 02:05:19,297 INFO hook.py line 689 2389709] file cabinet : 0.4691 0.6832 [2025-03-11 02:05:19,297 INFO hook.py line 689 2389709] fan : 0.2430 0.2490 [2025-03-11 02:05:19,297 INFO hook.py line 689 2389709] laptop : 0.4422 0.5580 [2025-03-11 02:05:19,297 INFO hook.py line 689 2389709] shower : 0.1409 0.1509 [2025-03-11 02:05:19,304 INFO hook.py line 689 2389709] paper : 0.0808 0.2658 [2025-03-11 02:05:19,304 INFO hook.py line 689 2389709] person : 0.1961 0.2204 [2025-03-11 02:05:19,304 INFO hook.py line 689 2389709] paper towel dispenser: 0.4809 0.6579 [2025-03-11 02:05:19,304 INFO hook.py line 689 2389709] oven : 0.0507 0.0567 [2025-03-11 02:05:19,305 INFO hook.py line 689 2389709] blinds : 0.0013 0.0013 [2025-03-11 02:05:19,305 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 02:05:19,305 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 02:05:19,305 INFO hook.py line 689 2389709] blackboard : 0.5403 0.6428 [2025-03-11 02:05:19,305 INFO hook.py line 689 2389709] piano : 0.4171 0.4968 [2025-03-11 02:05:19,306 INFO hook.py line 689 2389709] suitcase : 0.4932 0.7684 [2025-03-11 02:05:19,306 INFO hook.py line 689 2389709] rail : 0.0065 0.0065 [2025-03-11 02:05:19,307 INFO hook.py line 689 2389709] radiator : 0.5345 0.6649 [2025-03-11 02:05:19,307 INFO hook.py line 689 2389709] recycling bin : 0.3425 0.3651 [2025-03-11 02:05:19,307 INFO hook.py line 689 2389709] container : 0.0045 0.0075 [2025-03-11 02:05:19,307 INFO hook.py line 689 2389709] wardrobe : 0.1803 0.2803 [2025-03-11 02:05:19,307 INFO hook.py line 689 2389709] soap dispenser : 0.6493 0.8836 [2025-03-11 02:05:19,308 INFO hook.py line 689 2389709] telephone : 0.1955 0.2129 [2025-03-11 02:05:19,308 INFO hook.py line 689 2389709] bucket : 0.2401 0.6198 [2025-03-11 02:05:19,308 INFO hook.py line 689 2389709] clock : 0.1778 0.3051 [2025-03-11 02:05:19,308 INFO hook.py line 689 2389709] stand : 0.0001 0.0019 [2025-03-11 02:05:19,308 INFO hook.py line 689 2389709] light : 0.0425 0.0524 [2025-03-11 02:05:19,309 INFO hook.py line 689 2389709] laundry basket : 0.0327 0.0376 [2025-03-11 02:05:19,309 INFO hook.py line 689 2389709] pipe : 0.0740 0.2304 [2025-03-11 02:05:19,309 INFO hook.py line 689 2389709] clothes dryer : 0.5087 0.5962 [2025-03-11 02:05:19,309 INFO hook.py line 689 2389709] guitar : 0.4787 0.8319 [2025-03-11 02:05:19,309 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 02:05:19,310 INFO hook.py line 689 2389709] seat : 0.0154 0.0221 [2025-03-11 02:05:19,310 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 02:05:19,310 INFO hook.py line 689 2389709] column : 0.1479 0.3299 [2025-03-11 02:05:19,310 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 02:05:19,310 INFO hook.py line 689 2389709] ladder : 0.4208 0.5807 [2025-03-11 02:05:19,310 INFO hook.py line 689 2389709] bathroom stall : 0.2281 0.2399 [2025-03-11 02:05:19,311 INFO hook.py line 689 2389709] shower wall : 0.4819 0.6267 [2025-03-11 02:05:19,311 INFO hook.py line 689 2389709] cup : 0.1508 0.3694 [2025-03-11 02:05:19,311 INFO hook.py line 689 2389709] jacket : 0.2099 0.2312 [2025-03-11 02:05:19,311 INFO hook.py line 689 2389709] storage bin : 0.0448 0.1341 [2025-03-11 02:05:19,311 INFO hook.py line 689 2389709] coffee maker : 0.4046 0.9858 [2025-03-11 02:05:19,311 INFO hook.py line 689 2389709] dishwasher : 0.0769 0.0973 [2025-03-11 02:05:19,312 INFO hook.py line 689 2389709] paper towel roll: 0.1660 0.1902 [2025-03-11 02:05:19,312 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 02:05:19,312 INFO hook.py line 689 2389709] mat : 0.0417 0.0497 [2025-03-11 02:05:19,312 INFO hook.py line 689 2389709] windowsill : 0.2035 0.2713 [2025-03-11 02:05:19,313 INFO hook.py line 689 2389709] bar : 0.1205 0.1738 [2025-03-11 02:05:19,313 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 02:05:19,313 INFO hook.py line 689 2389709] bulletin board : 0.2841 0.5157 [2025-03-11 02:05:19,313 INFO hook.py line 689 2389709] ironing board : 0.0065 0.0129 [2025-03-11 02:05:19,313 INFO hook.py line 689 2389709] fireplace : 0.1251 0.1274 [2025-03-11 02:05:19,313 INFO hook.py line 689 2389709] soap dish : 0.3359 0.4513 [2025-03-11 02:05:19,314 INFO hook.py line 689 2389709] kitchen counter: 0.5017 0.6704 [2025-03-11 02:05:19,314 INFO hook.py line 689 2389709] doorframe : 0.3705 0.5354 [2025-03-11 02:05:19,314 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2111 0.2271 [2025-03-11 02:05:19,314 INFO hook.py line 689 2389709] mini fridge : 0.2963 0.4564 [2025-03-11 02:05:19,314 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 02:05:19,314 INFO hook.py line 689 2389709] ball : 0.4506 0.8856 [2025-03-11 02:05:19,314 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 02:05:19,314 INFO hook.py line 689 2389709] shower curtain rod: 0.3440 0.7791 [2025-03-11 02:05:19,314 INFO hook.py line 689 2389709] water cooler : 0.3648 0.6736 [2025-03-11 02:05:19,314 INFO hook.py line 689 2389709] paper cutter : 0.1751 0.2599 [2025-03-11 02:05:19,314 INFO hook.py line 689 2389709] tray : 0.0000 0.0002 [2025-03-11 02:05:19,315 INFO hook.py line 689 2389709] shower door : 0.1196 0.1758 [2025-03-11 02:05:19,315 INFO hook.py line 689 2389709] pillar : 0.0782 0.0897 [2025-03-11 02:05:19,315 INFO hook.py line 689 2389709] ledge : 0.0378 0.0469 [2025-03-11 02:05:19,315 INFO hook.py line 689 2389709] toaster oven : 0.1596 0.1843 [2025-03-11 02:05:19,315 INFO hook.py line 689 2389709] mouse : 0.0596 0.4298 [2025-03-11 02:05:19,315 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5012 0.6791 [2025-03-11 02:05:19,315 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 02:05:19,315 INFO hook.py line 689 2389709] cart : 0.1770 0.2070 [2025-03-11 02:05:19,315 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 02:05:19,315 INFO hook.py line 689 2389709] scale : 0.1525 0.9357 [2025-03-11 02:05:19,315 INFO hook.py line 689 2389709] tissue box : 0.0692 0.0857 [2025-03-11 02:05:19,316 INFO hook.py line 689 2389709] light switch : 0.0589 0.1393 [2025-03-11 02:05:19,316 INFO hook.py line 689 2389709] crate : 0.0018 0.0049 [2025-03-11 02:05:19,316 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 02:05:19,316 INFO hook.py line 689 2389709] decoration : 0.1581 0.2639 [2025-03-11 02:05:19,316 INFO hook.py line 689 2389709] sign : 0.0204 0.0251 [2025-03-11 02:05:19,316 INFO hook.py line 689 2389709] projector : 0.0238 0.4372 [2025-03-11 02:05:19,316 INFO hook.py line 689 2389709] closet door : 0.0027 0.0029 [2025-03-11 02:05:19,316 INFO hook.py line 689 2389709] vacuum cleaner : 0.6516 0.6968 [2025-03-11 02:05:19,316 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 02:05:19,317 INFO hook.py line 689 2389709] plunger : 0.2740 0.9811 [2025-03-11 02:05:19,317 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 02:05:19,317 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 02:05:19,317 INFO hook.py line 689 2389709] dish rack : 0.3016 0.8302 [2025-03-11 02:05:19,317 INFO hook.py line 689 2389709] broom : 0.0000 0.0000 [2025-03-11 02:05:19,317 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 02:05:19,317 INFO hook.py line 689 2389709] range hood : 0.7523 0.8218 [2025-03-11 02:05:19,317 INFO hook.py line 689 2389709] dustpan : 0.0630 0.1701 [2025-03-11 02:05:19,317 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 02:05:19,318 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 02:05:19,318 INFO hook.py line 689 2389709] handicap bar : 0.0410 0.3790 [2025-03-11 02:05:19,318 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 02:05:19,318 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 02:05:19,318 INFO hook.py line 689 2389709] shower floor : 0.5149 0.7185 [2025-03-11 02:05:19,318 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 02:05:19,318 INFO hook.py line 689 2389709] mailbox : 0.3486 0.3672 [2025-03-11 02:05:19,318 INFO hook.py line 689 2389709] bowl : 0.0823 0.1371 [2025-03-11 02:05:19,318 INFO hook.py line 689 2389709] paper bag : 0.0379 0.0979 [2025-03-11 02:05:19,318 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 02:05:19,318 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 02:05:19,318 INFO hook.py line 689 2389709] projector screen: 0.0040 0.0043 [2025-03-11 02:05:19,319 INFO hook.py line 689 2389709] divider : 0.4203 0.4939 [2025-03-11 02:05:19,319 INFO hook.py line 689 2389709] laundry detergent: 0.0250 0.0285 [2025-03-11 02:05:19,319 INFO hook.py line 689 2389709] bathroom counter: 0.1536 0.1763 [2025-03-11 02:05:19,319 INFO hook.py line 689 2389709] object : 0.0458 0.0896 [2025-03-11 02:05:19,319 INFO hook.py line 689 2389709] bathroom vanity: 0.4613 0.8562 [2025-03-11 02:05:19,319 INFO hook.py line 689 2389709] closet wall : 0.1127 0.1606 [2025-03-11 02:05:19,319 INFO hook.py line 689 2389709] laundry hamper : 0.0003 0.0005 [2025-03-11 02:05:19,319 INFO hook.py line 689 2389709] bathroom stall door: 0.4676 0.5999 [2025-03-11 02:05:19,319 INFO hook.py line 689 2389709] ceiling light : 0.1897 0.2449 [2025-03-11 02:05:19,319 INFO hook.py line 689 2389709] trash bin : 0.4229 0.5454 [2025-03-11 02:05:19,319 INFO hook.py line 689 2389709] dumbbell : 0.8037 0.9654 [2025-03-11 02:05:19,319 INFO hook.py line 689 2389709] stair rail : 0.0266 0.0279 [2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] tube : 0.0578 0.1897 [2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] bathroom cabinet: 0.0563 0.0586 [2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] closet rod : 0.3381 0.8901 [2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] shower head : 0.2620 0.3185 [2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] case of water bottles: 0.0808 0.0848 [2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] coat rack : 0.0363 0.2916 [2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 02:05:19,321 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 02:05:19,321 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 02:05:19,321 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 02:05:19,321 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 02:05:19,321 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 02:05:19,321 INFO hook.py line 689 2389709] mattress : 0.0140 0.0140 [2025-03-11 02:05:19,321 INFO hook.py line 690 2389709] ######################################## [2025-03-11 02:05:19,321 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2613/0.3692/0.7971. [2025-03-11 02:05:19,322 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 02:05:19,335 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2613 [2025-03-11 02:05:19,336 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2613 [2025-03-11 02:05:19,336 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 02:05:50,106 INFO hook.py line 566 2389709] Train: [18/100][50/300] Data 0.003 (0.002) Batch 0.524 (0.491) Remain 03:23:18 loss: 1.1109 Lr: 4.80028e-03 [2025-03-11 02:06:14,940 INFO hook.py line 566 2389709] Train: [18/100][100/300] Data 0.001 (0.002) Batch 0.533 (0.494) Remain 03:24:08 loss: 1.0811 Lr: 4.79484e-03 [2025-03-11 02:06:39,604 INFO hook.py line 566 2389709] Train: [18/100][150/300] Data 0.003 (0.002) Batch 0.429 (0.494) Remain 03:23:38 loss: 0.9795 Lr: 4.78934e-03 [2025-03-11 02:07:04,076 INFO hook.py line 566 2389709] Train: [18/100][200/300] Data 0.003 (0.002) Batch 0.460 (0.493) Remain 03:22:47 loss: 0.9479 Lr: 4.78377e-03 [2025-03-11 02:07:28,702 INFO hook.py line 566 2389709] Train: [18/100][250/300] Data 0.002 (0.002) Batch 0.454 (0.493) Remain 03:22:22 loss: 1.1346 Lr: 4.77813e-03 [2025-03-11 02:07:53,014 INFO hook.py line 566 2389709] Train: [18/100][300/300] Data 0.002 (0.002) Batch 0.488 (0.492) Remain 03:21:31 loss: 0.7536 Lr: 4.77242e-03 [2025-03-11 02:07:53,015 INFO misc.py line 135 2389709] Train result: loss: 1.0278 [2025-03-11 02:07:53,114 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 02:08:45,842 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5707 [2025-03-11 02:08:45,887 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3147 [2025-03-11 02:08:45,928 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.8751 [2025-03-11 02:08:45,990 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4908 [2025-03-11 02:08:46,030 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.7439 [2025-03-11 02:08:46,092 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.9230 [2025-03-11 02:08:46,153 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8304 [2025-03-11 02:08:46,186 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4051 [2025-03-11 02:08:46,233 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3888 [2025-03-11 02:08:46,270 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.3978 [2025-03-11 02:08:46,320 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1816 [2025-03-11 02:08:46,366 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0916 [2025-03-11 02:08:46,415 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.5222 [2025-03-11 02:08:46,458 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.1159 [2025-03-11 02:08:46,494 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.6865 [2025-03-11 02:08:46,549 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.6767 [2025-03-11 02:08:46,590 INFO hook.py line 748 2389709] Test: [17/78] Loss 0.7870 [2025-03-11 02:08:46,625 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.7903 [2025-03-11 02:08:46,676 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4079 [2025-03-11 02:08:46,715 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.3459 [2025-03-11 02:08:46,752 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7479 [2025-03-11 02:08:46,804 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9697 [2025-03-11 02:08:46,837 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4365 [2025-03-11 02:08:46,897 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0167 [2025-03-11 02:08:46,939 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4301 [2025-03-11 02:08:46,981 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2577 [2025-03-11 02:08:47,035 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6911 [2025-03-11 02:08:47,070 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7778 [2025-03-11 02:08:47,098 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.8195 [2025-03-11 02:08:47,153 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.3117 [2025-03-11 02:08:47,211 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.7120 [2025-03-11 02:08:47,259 INFO hook.py line 748 2389709] Test: [32/78] Loss 2.0517 [2025-03-11 02:08:47,317 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.3992 [2025-03-11 02:08:47,356 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.5962 [2025-03-11 02:08:47,392 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2937 [2025-03-11 02:08:47,431 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4468 [2025-03-11 02:08:47,472 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.3136 [2025-03-11 02:08:47,513 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7735 [2025-03-11 02:08:47,594 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.0211 [2025-03-11 02:08:47,641 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.2741 [2025-03-11 02:08:47,691 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1165 [2025-03-11 02:08:47,719 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5227 [2025-03-11 02:08:47,754 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.5160 [2025-03-11 02:08:47,813 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0276 [2025-03-11 02:08:47,848 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.2627 [2025-03-11 02:08:47,897 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9464 [2025-03-11 02:08:47,940 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9030 [2025-03-11 02:08:47,974 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.2429 [2025-03-11 02:08:48,006 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3909 [2025-03-11 02:08:48,038 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.9434 [2025-03-11 02:08:48,072 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9622 [2025-03-11 02:08:48,109 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.3044 [2025-03-11 02:08:48,140 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4680 [2025-03-11 02:08:48,176 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.2418 [2025-03-11 02:08:48,214 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.2399 [2025-03-11 02:08:48,255 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.4860 [2025-03-11 02:08:48,289 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.3508 [2025-03-11 02:08:48,315 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2798 [2025-03-11 02:08:48,357 INFO hook.py line 748 2389709] Test: [59/78] Loss 1.0166 [2025-03-11 02:08:48,398 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6847 [2025-03-11 02:08:48,428 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9950 [2025-03-11 02:08:48,470 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.2461 [2025-03-11 02:08:48,506 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.8888 [2025-03-11 02:08:48,564 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8446 [2025-03-11 02:08:48,596 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1525 [2025-03-11 02:08:48,639 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.4045 [2025-03-11 02:08:48,678 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8648 [2025-03-11 02:08:48,719 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0052 [2025-03-11 02:08:48,753 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.5051 [2025-03-11 02:08:48,814 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.1440 [2025-03-11 02:08:48,858 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.4887 [2025-03-11 02:08:48,916 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.3901 [2025-03-11 02:08:48,974 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6516 [2025-03-11 02:08:49,017 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.5933 [2025-03-11 02:08:49,068 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.4330 [2025-03-11 02:08:49,097 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7260 [2025-03-11 02:08:49,160 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6658 [2025-03-11 02:08:49,187 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.6094 [2025-03-11 02:08:50,406 INFO hook.py line 674 2389709] ######################################## [2025-03-11 02:08:50,406 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 02:08:50,407 INFO hook.py line 680 2389709] ######################################## [2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] wall : 0.7648 0.8690 [2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] chair : 0.6705 0.7242 [2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] floor : 0.9551 0.9798 [2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] table : 0.6013 0.8031 [2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] door : 0.5788 0.6744 [2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] couch : 0.7231 0.8239 [2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] cabinet : 0.2743 0.3552 [2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] shelf : 0.4209 0.8196 [2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] desk : 0.4514 0.5519 [2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] office chair : 0.3167 0.7414 [2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] bed : 0.5530 0.9120 [2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] pillow : 0.4734 0.7121 [2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] sink : 0.6227 0.7264 [2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] picture : 0.3274 0.5020 [2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] window : 0.4867 0.7608 [2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] toilet : 0.8940 0.9512 [2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] bookshelf : 0.3541 0.3834 [2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] monitor : 0.8300 0.9113 [2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] curtain : 0.6340 0.7860 [2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] book : 0.3980 0.7211 [2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] armchair : 0.5341 0.8685 [2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] coffee table : 0.5646 0.7078 [2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] box : 0.3166 0.5159 [2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] refrigerator : 0.6619 0.7314 [2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] lamp : 0.6592 0.7525 [2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] kitchen cabinet: 0.6512 0.8057 [2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] towel : 0.4805 0.5936 [2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] clothes : 0.2307 0.4014 [2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] tv : 0.7311 0.7633 [2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] nightstand : 0.6112 0.7302 [2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] counter : 0.3037 0.3965 [2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] dresser : 0.3544 0.4952 [2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] stool : 0.5188 0.6038 [2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] plant : 0.6969 0.8730 [2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] ceiling : 0.9235 0.9774 [2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] bathtub : 0.8443 0.9074 [2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] end table : 0.0454 0.0470 [2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] dining table : 0.0017 0.0017 [2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] keyboard : 0.4007 0.5192 [2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] bag : 0.1769 0.2216 [2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] backpack : 0.5751 0.6428 [2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] toilet paper : 0.4141 0.5481 [2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] printer : 0.3698 0.6727 [2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] tv stand : 0.4427 0.8610 [2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] whiteboard : 0.4999 0.6193 [2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] blanket : 0.0189 0.0374 [2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] shower curtain : 0.5631 0.6269 [2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] trash can : 0.6263 0.7454 [2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] closet : 0.0083 0.0086 [2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] stairs : 0.3643 0.6881 [2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] microwave : 0.3733 0.7623 [2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] stove : 0.4182 0.9127 [2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] shoe : 0.3135 0.3412 [2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] computer tower : 0.5707 0.7209 [2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] bottle : 0.1103 0.4041 [2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] bin : 0.0344 0.1188 [2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] ottoman : 0.1202 0.1242 [2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] bench : 0.3566 0.4558 [2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] board : 0.1115 0.1865 [2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] washing machine: 0.3715 0.3775 [2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] mirror : 0.3398 0.4698 [2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] copier : 0.7223 0.9504 [2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] basket : 0.0033 0.0063 [2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] sofa chair : 0.0020 0.0020 [2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] file cabinet : 0.4938 0.6158 [2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] fan : 0.3905 0.4896 [2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] laptop : 0.4441 0.5855 [2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] shower : 0.2622 0.4221 [2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] paper : 0.0458 0.0954 [2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] person : 0.1925 0.3615 [2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] paper towel dispenser: 0.4731 0.5450 [2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] oven : 0.0445 0.1109 [2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] blinds : 0.0185 0.0207 [2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] blackboard : 0.5379 0.6278 [2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] piano : 0.1877 0.6276 [2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] suitcase : 0.4721 0.7176 [2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] rail : 0.0161 0.0167 [2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] radiator : 0.5556 0.7087 [2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] recycling bin : 0.5026 0.6144 [2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] container : 0.0059 0.0116 [2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] wardrobe : 0.0577 0.0600 [2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] soap dispenser : 0.7654 0.8730 [2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] telephone : 0.2813 0.3850 [2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] bucket : 0.2975 0.5102 [2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] clock : 0.2409 0.2647 [2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] light : 0.0402 0.0507 [2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] laundry basket : 0.0232 0.0307 [2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] pipe : 0.1097 0.1309 [2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] clothes dryer : 0.4863 0.7411 [2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] guitar : 0.5014 0.8270 [2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] column : 0.1067 0.5000 [2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] ladder : 0.3766 0.4100 [2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] bathroom stall : 0.4430 0.7481 [2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] shower wall : 0.4961 0.6735 [2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] cup : 0.2493 0.3919 [2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] jacket : 0.1110 0.1274 [2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] storage bin : 0.0050 0.0066 [2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] coffee maker : 0.6600 0.9902 [2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] dishwasher : 0.0891 0.1180 [2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] paper towel roll: 0.3689 0.4545 [2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] mat : 0.0868 0.1050 [2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] windowsill : 0.1915 0.2222 [2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] bar : 0.1125 0.2635 [2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] bulletin board : 0.1623 0.2149 [2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] ironing board : 0.1193 0.1260 [2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] fireplace : 0.4135 0.7550 [2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] soap dish : 0.3080 0.4483 [2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] kitchen counter: 0.4983 0.5844 [2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] doorframe : 0.3432 0.4414 [2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4608 0.7821 [2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] mini fridge : 0.1518 0.1560 [2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] ball : 0.2045 0.9462 [2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] shower curtain rod: 0.3542 0.8311 [2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] water cooler : 0.5343 0.7039 [2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] paper cutter : 0.1482 0.1547 [2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 [2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] shower door : 0.0596 0.1109 [2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] pillar : 0.0086 0.0087 [2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] ledge : 0.0591 0.0633 [2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] toaster oven : 0.0945 0.0975 [2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] mouse : 0.0206 0.2511 [2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7386 0.8497 [2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] cart : 0.1770 0.2821 [2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] scale : 0.2210 0.8562 [2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] tissue box : 0.0591 0.0697 [2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] light switch : 0.0953 0.1938 [2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] crate : 0.0013 0.0046 [2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] decoration : 0.1666 0.5750 [2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] sign : 0.0051 0.0059 [2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] projector : 0.0053 0.0302 [2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] closet door : 0.0005 0.0005 [2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] vacuum cleaner : 0.8384 0.9792 [2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] plunger : 0.3574 0.9199 [2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] dish rack : 0.4080 0.8327 [2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] broom : 0.0149 0.0225 [2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] range hood : 0.6916 0.9033 [2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] dustpan : 0.0676 0.1541 [2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] handicap bar : 0.0357 0.5656 [2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] shower floor : 0.9393 0.9845 [2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] water pitcher : 0.0032 0.0140 [2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] mailbox : 0.3641 0.3963 [2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] bowl : 0.0074 0.0102 [2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] paper bag : 0.0000 0.0000 [2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] projector screen: 0.0154 0.0165 [2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] divider : 0.3991 0.6155 [2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] laundry detergent: 0.2158 0.2514 [2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] bathroom counter: 0.2638 0.4490 [2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] object : 0.0392 0.0752 [2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] bathroom vanity: 0.4356 0.6589 [2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] closet wall : 0.2023 0.3990 [2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] laundry hamper : 0.1407 0.1940 [2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] bathroom stall door: 0.4313 0.5850 [2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] ceiling light : 0.2037 0.2354 [2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] trash bin : 0.2753 0.4522 [2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] dumbbell : 0.0779 0.9717 [2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] stair rail : 0.2062 0.4020 [2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] tube : 0.0825 0.1039 [2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] bathroom cabinet: 0.2862 0.5827 [2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] closet rod : 0.3953 0.8966 [2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] shower head : 0.1640 0.2568 [2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] keyboard piano : 0.0005 0.0006 [2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 02:08:50,419 INFO hook.py line 689 2389709] coat rack : 0.2534 0.3541 [2025-03-11 02:08:50,419 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 02:08:50,419 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 02:08:50,419 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 02:08:50,419 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 02:08:50,419 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 02:08:50,419 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 02:08:50,419 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 02:08:50,419 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 02:08:50,419 INFO hook.py line 689 2389709] mattress : 0.0005 0.0005 [2025-03-11 02:08:50,419 INFO hook.py line 690 2389709] ######################################## [2025-03-11 02:08:50,419 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2637/0.3809/0.7872. [2025-03-11 02:08:50,420 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 02:08:50,432 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2637 [2025-03-11 02:08:50,432 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2637 [2025-03-11 02:08:50,433 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 02:09:20,755 INFO hook.py line 566 2389709] Train: [19/100][50/300] Data 0.002 (0.002) Batch 0.480 (0.494) Remain 03:22:13 loss: 0.8695 Lr: 4.76665e-03 [2025-03-11 02:09:45,138 INFO hook.py line 566 2389709] Train: [19/100][100/300] Data 0.002 (0.002) Batch 0.451 (0.491) Remain 03:20:25 loss: 0.7466 Lr: 4.76080e-03 [2025-03-11 02:10:09,669 INFO hook.py line 566 2389709] Train: [19/100][150/300] Data 0.002 (0.002) Batch 0.490 (0.491) Remain 03:19:59 loss: 0.9649 Lr: 4.75488e-03 [2025-03-11 02:10:34,010 INFO hook.py line 566 2389709] Train: [19/100][200/300] Data 0.002 (0.002) Batch 0.537 (0.490) Remain 03:19:10 loss: 1.0166 Lr: 4.74890e-03 [2025-03-11 02:10:58,721 INFO hook.py line 566 2389709] Train: [19/100][250/300] Data 0.002 (0.002) Batch 0.458 (0.491) Remain 03:19:07 loss: 0.9013 Lr: 4.74285e-03 [2025-03-11 02:11:22,575 INFO hook.py line 566 2389709] Train: [19/100][300/300] Data 0.002 (0.002) Batch 0.447 (0.488) Remain 03:17:47 loss: 1.0738 Lr: 4.73673e-03 [2025-03-11 02:11:22,575 INFO misc.py line 135 2389709] Train result: loss: 1.0074 [2025-03-11 02:11:22,660 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 02:12:18,715 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4552 [2025-03-11 02:12:18,760 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.7828 [2025-03-11 02:12:18,798 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7252 [2025-03-11 02:12:18,850 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5939 [2025-03-11 02:12:18,884 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8611 [2025-03-11 02:12:18,942 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.6478 [2025-03-11 02:12:19,000 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8022 [2025-03-11 02:12:19,036 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.1216 [2025-03-11 02:12:19,085 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3894 [2025-03-11 02:12:19,125 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1868 [2025-03-11 02:12:19,174 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3977 [2025-03-11 02:12:19,214 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.8586 [2025-03-11 02:12:19,263 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.8895 [2025-03-11 02:12:19,307 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.0740 [2025-03-11 02:12:19,347 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0612 [2025-03-11 02:12:19,397 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.5659 [2025-03-11 02:12:19,436 INFO hook.py line 748 2389709] Test: [17/78] Loss 0.9923 [2025-03-11 02:12:19,473 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9550 [2025-03-11 02:12:19,519 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.3193 [2025-03-11 02:12:19,556 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4962 [2025-03-11 02:12:19,593 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6863 [2025-03-11 02:12:19,636 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8142 [2025-03-11 02:12:19,679 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.6412 [2025-03-11 02:12:19,736 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0506 [2025-03-11 02:12:19,779 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.3869 [2025-03-11 02:12:19,831 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4227 [2025-03-11 02:12:19,893 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6468 [2025-03-11 02:12:19,936 INFO hook.py line 748 2389709] Test: [28/78] Loss 1.0434 [2025-03-11 02:12:19,977 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0131 [2025-03-11 02:12:20,035 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.8475 [2025-03-11 02:12:20,094 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.7206 [2025-03-11 02:12:20,129 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4713 [2025-03-11 02:12:20,187 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7390 [2025-03-11 02:12:20,226 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.4245 [2025-03-11 02:12:20,263 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.0914 [2025-03-11 02:12:20,305 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.1973 [2025-03-11 02:12:20,348 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2911 [2025-03-11 02:12:20,378 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8243 [2025-03-11 02:12:20,448 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.2182 [2025-03-11 02:12:20,494 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.9724 [2025-03-11 02:12:20,551 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4381 [2025-03-11 02:12:20,579 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4997 [2025-03-11 02:12:20,618 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1128 [2025-03-11 02:12:20,675 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0400 [2025-03-11 02:12:20,711 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7356 [2025-03-11 02:12:20,762 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9500 [2025-03-11 02:12:20,805 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.0505 [2025-03-11 02:12:20,841 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.2132 [2025-03-11 02:12:20,877 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.8594 [2025-03-11 02:12:20,914 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4799 [2025-03-11 02:12:20,948 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.8914 [2025-03-11 02:12:20,985 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5350 [2025-03-11 02:12:21,017 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1607 [2025-03-11 02:12:21,057 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2705 [2025-03-11 02:12:21,099 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3970 [2025-03-11 02:12:21,141 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8874 [2025-03-11 02:12:21,179 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.7100 [2025-03-11 02:12:21,208 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.3370 [2025-03-11 02:12:21,250 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7162 [2025-03-11 02:12:21,291 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6629 [2025-03-11 02:12:21,321 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.0871 [2025-03-11 02:12:21,361 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1696 [2025-03-11 02:12:21,400 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0901 [2025-03-11 02:12:21,457 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7781 [2025-03-11 02:12:21,489 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.5243 [2025-03-11 02:12:21,532 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.5692 [2025-03-11 02:12:21,571 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0187 [2025-03-11 02:12:21,612 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.7866 [2025-03-11 02:12:21,645 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4276 [2025-03-11 02:12:21,706 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.2051 [2025-03-11 02:12:21,750 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7338 [2025-03-11 02:12:21,807 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7026 [2025-03-11 02:12:21,864 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5071 [2025-03-11 02:12:21,908 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.8760 [2025-03-11 02:12:21,959 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.4775 [2025-03-11 02:12:21,987 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.2397 [2025-03-11 02:12:22,050 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7383 [2025-03-11 02:12:22,078 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.5400 [2025-03-11 02:12:23,330 INFO hook.py line 674 2389709] ######################################## [2025-03-11 02:12:23,330 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 02:12:23,330 INFO hook.py line 680 2389709] ######################################## [2025-03-11 02:12:23,330 INFO hook.py line 689 2389709] wall : 0.7623 0.9241 [2025-03-11 02:12:23,330 INFO hook.py line 689 2389709] chair : 0.6062 0.6518 [2025-03-11 02:12:23,330 INFO hook.py line 689 2389709] floor : 0.9513 0.9825 [2025-03-11 02:12:23,330 INFO hook.py line 689 2389709] table : 0.6122 0.7638 [2025-03-11 02:12:23,330 INFO hook.py line 689 2389709] door : 0.6217 0.7255 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] couch : 0.6093 0.9600 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] cabinet : 0.2847 0.4427 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] shelf : 0.3726 0.5179 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] desk : 0.4906 0.7756 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] office chair : 0.2821 0.8287 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] bed : 0.6399 0.9010 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] pillow : 0.4618 0.6321 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] sink : 0.5856 0.7896 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] picture : 0.3239 0.4674 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] window : 0.3945 0.4327 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] toilet : 0.8840 0.9406 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] bookshelf : 0.3641 0.4188 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] monitor : 0.8106 0.8639 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] curtain : 0.6505 0.8439 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] book : 0.3410 0.8232 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] armchair : 0.4895 0.6885 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] coffee table : 0.5830 0.6592 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] box : 0.3157 0.4613 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] refrigerator : 0.6574 0.6900 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] lamp : 0.5794 0.6293 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] kitchen cabinet: 0.6599 0.8161 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] towel : 0.3318 0.6447 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] clothes : 0.1428 0.4491 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] tv : 0.7421 0.7601 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] nightstand : 0.6286 0.7200 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] counter : 0.2701 0.4185 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] dresser : 0.2837 0.3553 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] stool : 0.4497 0.5358 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] plant : 0.7616 0.7965 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] ceiling : 0.9178 0.9545 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] bathtub : 0.8557 0.9169 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] end table : 0.1723 0.2355 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] dining table : 0.0142 0.0161 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] keyboard : 0.2889 0.6356 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] bag : 0.1289 0.1449 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] backpack : 0.5879 0.6776 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] toilet paper : 0.4238 0.5542 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] printer : 0.3894 0.6785 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] tv stand : 0.4880 0.8968 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] whiteboard : 0.4130 0.4885 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] blanket : 0.0163 0.0191 [2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] shower curtain : 0.5620 0.6146 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] trash can : 0.5827 0.6608 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] closet : 0.0439 0.0467 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] stairs : 0.4815 0.5214 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] microwave : 0.5210 0.7112 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] stove : 0.3277 0.8349 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] shoe : 0.4263 0.7615 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] computer tower : 0.4025 0.7284 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] bottle : 0.1055 0.4387 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] ottoman : 0.1167 0.1399 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] bench : 0.3373 0.4481 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] board : 0.1075 0.3138 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] washing machine: 0.1393 0.1433 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] mirror : 0.3178 0.4026 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] copier : 0.7616 0.9135 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] sofa chair : 0.0123 0.0131 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] file cabinet : 0.4143 0.5876 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] fan : 0.3408 0.4006 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] laptop : 0.3632 0.5611 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] shower : 0.0069 0.0070 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] paper : 0.0261 0.0368 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] person : 0.0984 0.3112 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] paper towel dispenser: 0.4296 0.6569 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] blinds : 0.0182 0.0211 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] blackboard : 0.5791 0.6235 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] piano : 0.0093 0.0111 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] suitcase : 0.3912 0.4994 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] rail : 0.0021 0.0021 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] radiator : 0.4870 0.6640 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] recycling bin : 0.4547 0.6530 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] wardrobe : 0.1735 0.2328 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] soap dispenser : 0.7236 0.8213 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] telephone : 0.2683 0.5218 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] bucket : 0.1820 0.7309 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] clock : 0.2012 0.3250 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] light : 0.1537 0.1895 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] laundry basket : 0.0012 0.0013 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] pipe : 0.0757 0.0919 [2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] clothes dryer : 0.1819 0.2211 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] guitar : 0.1131 0.1729 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] column : 0.1076 0.2567 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] ladder : 0.4379 0.5575 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] bathroom stall : 0.3554 0.4200 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] shower wall : 0.5051 0.6345 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] cup : 0.1386 0.5900 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] jacket : 0.1417 0.2354 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] coffee maker : 0.7204 0.9723 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] dishwasher : 0.1322 0.1555 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] paper towel roll: 0.2377 0.3670 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] mat : 0.1741 0.2387 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] windowsill : 0.2318 0.3097 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] bar : 0.1283 0.1719 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] toaster : 0.2849 0.4906 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] bulletin board : 0.2293 0.3957 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] ironing board : 0.0410 0.0489 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] fireplace : 0.0970 0.0978 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] soap dish : 0.3239 0.5108 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] kitchen counter: 0.5800 0.7920 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] doorframe : 0.3583 0.6212 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2647 0.3341 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] mini fridge : 0.1410 0.1496 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] fire extinguisher: 0.0419 0.0979 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] ball : 0.3250 0.9528 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] shower curtain rod: 0.3016 0.8053 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] water cooler : 0.4715 0.9506 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] paper cutter : 0.3584 0.3843 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] shower door : 0.0641 0.1142 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] pillar : 0.0069 0.0079 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] ledge : 0.0124 0.0168 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] toaster oven : 0.0169 0.0170 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] mouse : 0.0335 0.3408 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.1847 0.2091 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] cart : 0.2067 0.2467 [2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] scale : 0.1517 0.7578 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] tissue box : 0.1288 0.1573 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] light switch : 0.0333 0.3730 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] decoration : 0.0851 0.1041 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] sign : 0.0685 0.0979 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] projector : 0.0447 1.0000 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] closet door : 0.0984 0.1453 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] vacuum cleaner : 0.3597 0.3630 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] plunger : 0.6718 0.9619 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] dish rack : 0.4612 0.6553 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] broom : 0.0111 0.0167 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] range hood : 0.7685 0.8535 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] dustpan : 0.0364 0.1853 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] handicap bar : 0.0542 0.7775 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] shower floor : 0.8665 0.9249 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] mailbox : 0.2326 0.2376 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] bowl : 0.0015 0.0031 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] paper bag : 0.0910 0.2070 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] projector screen: 0.0003 0.0003 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] divider : 0.4315 0.5402 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] laundry detergent: 0.0492 0.0515 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] bathroom counter: 0.2275 0.3089 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] object : 0.0374 0.0815 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] bathroom vanity: 0.4165 0.6151 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] closet wall : 0.0828 0.0980 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] laundry hamper : 0.0165 0.0234 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] bathroom stall door: 0.5746 0.6843 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] ceiling light : 0.4213 0.6813 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] trash bin : 0.5292 0.7078 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] dumbbell : 0.2292 0.9749 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] stair rail : 0.0130 0.0154 [2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] tube : 0.0252 0.0588 [2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] bathroom cabinet: 0.1089 0.1161 [2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] closet rod : 0.2841 0.8558 [2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] shower head : 0.1815 0.1913 [2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] case of water bottles: 0.2895 0.2904 [2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] potted plant : 0.1499 0.4457 [2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] mattress : 0.0067 0.0071 [2025-03-11 02:12:23,335 INFO hook.py line 690 2389709] ######################################## [2025-03-11 02:12:23,335 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2474/0.3631/0.7794. [2025-03-11 02:12:23,335 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 02:12:23,353 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2637 [2025-03-11 02:12:23,353 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 02:12:54,211 INFO hook.py line 566 2389709] Train: [20/100][50/300] Data 0.001 (0.002) Batch 0.464 (0.493) Remain 03:19:21 loss: 0.8822 Lr: 4.73054e-03 [2025-03-11 02:13:18,467 INFO hook.py line 566 2389709] Train: [20/100][100/300] Data 0.002 (0.002) Batch 0.472 (0.489) Remain 03:17:15 loss: 0.9304 Lr: 4.72428e-03 [2025-03-11 02:13:43,409 INFO hook.py line 566 2389709] Train: [20/100][150/300] Data 0.002 (0.002) Batch 0.494 (0.492) Remain 03:18:11 loss: 1.0202 Lr: 4.71796e-03 [2025-03-11 02:14:07,744 INFO hook.py line 566 2389709] Train: [20/100][200/300] Data 0.003 (0.002) Batch 0.499 (0.491) Remain 03:17:11 loss: 1.3124 Lr: 4.71157e-03 [2025-03-11 02:14:32,863 INFO hook.py line 566 2389709] Train: [20/100][250/300] Data 0.002 (0.002) Batch 0.483 (0.493) Remain 03:17:42 loss: 0.7477 Lr: 4.70511e-03 [2025-03-11 02:14:57,231 INFO hook.py line 566 2389709] Train: [20/100][300/300] Data 0.001 (0.002) Batch 0.480 (0.492) Remain 03:16:54 loss: 0.9278 Lr: 4.69858e-03 [2025-03-11 02:14:57,232 INFO misc.py line 135 2389709] Train result: loss: 1.0025 [2025-03-11 02:14:57,330 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 02:15:51,879 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4496 [2025-03-11 02:15:51,995 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.0903 [2025-03-11 02:15:52,032 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6203 [2025-03-11 02:15:52,081 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.6162 [2025-03-11 02:15:52,114 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9938 [2025-03-11 02:15:52,181 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2207 [2025-03-11 02:15:52,244 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8679 [2025-03-11 02:15:52,272 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3550 [2025-03-11 02:15:52,320 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2002 [2025-03-11 02:15:52,357 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.3657 [2025-03-11 02:15:52,407 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1405 [2025-03-11 02:15:52,443 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0892 [2025-03-11 02:15:52,494 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.8993 [2025-03-11 02:15:52,540 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.8526 [2025-03-11 02:15:52,580 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0756 [2025-03-11 02:15:52,631 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.5789 [2025-03-11 02:15:52,670 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2214 [2025-03-11 02:15:52,703 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.7732 [2025-03-11 02:15:52,746 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.3568 [2025-03-11 02:15:52,782 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4404 [2025-03-11 02:15:52,819 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7621 [2025-03-11 02:15:52,860 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6899 [2025-03-11 02:15:52,889 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.7091 [2025-03-11 02:15:52,943 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.2046 [2025-03-11 02:15:52,990 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.8997 [2025-03-11 02:15:53,033 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.7941 [2025-03-11 02:15:53,087 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6794 [2025-03-11 02:15:53,133 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6602 [2025-03-11 02:15:53,174 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.2457 [2025-03-11 02:15:53,232 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.6657 [2025-03-11 02:15:53,291 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6553 [2025-03-11 02:15:53,329 INFO hook.py line 748 2389709] Test: [32/78] Loss 0.9871 [2025-03-11 02:15:53,391 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7702 [2025-03-11 02:15:53,439 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.9141 [2025-03-11 02:15:53,480 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.0850 [2025-03-11 02:15:53,524 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5192 [2025-03-11 02:15:53,562 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.5801 [2025-03-11 02:15:53,593 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7593 [2025-03-11 02:15:53,662 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.9744 [2025-03-11 02:15:53,712 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5046 [2025-03-11 02:15:53,770 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.6082 [2025-03-11 02:15:53,809 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4829 [2025-03-11 02:15:53,850 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3598 [2025-03-11 02:15:53,909 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9344 [2025-03-11 02:15:53,943 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.3344 [2025-03-11 02:15:54,000 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9196 [2025-03-11 02:15:54,041 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.4775 [2025-03-11 02:15:54,075 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1113 [2025-03-11 02:15:54,120 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4466 [2025-03-11 02:15:54,159 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.0773 [2025-03-11 02:15:54,190 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.5579 [2025-03-11 02:15:54,225 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6751 [2025-03-11 02:15:54,254 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3242 [2025-03-11 02:15:54,295 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8121 [2025-03-11 02:15:54,338 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.5694 [2025-03-11 02:15:54,383 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8589 [2025-03-11 02:15:54,421 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.6631 [2025-03-11 02:15:54,452 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1137 [2025-03-11 02:15:54,491 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9616 [2025-03-11 02:15:54,527 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4745 [2025-03-11 02:15:54,554 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9839 [2025-03-11 02:15:54,590 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0894 [2025-03-11 02:15:54,628 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1651 [2025-03-11 02:15:54,687 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6781 [2025-03-11 02:15:54,716 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4164 [2025-03-11 02:15:54,760 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.5107 [2025-03-11 02:15:54,800 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9343 [2025-03-11 02:15:54,835 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.2959 [2025-03-11 02:15:54,866 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.2967 [2025-03-11 02:15:54,928 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.6169 [2025-03-11 02:15:54,974 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.4920 [2025-03-11 02:15:55,029 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6319 [2025-03-11 02:15:55,083 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.4578 [2025-03-11 02:15:55,129 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.9183 [2025-03-11 02:15:55,181 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.3285 [2025-03-11 02:15:55,209 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.8054 [2025-03-11 02:15:55,268 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.8272 [2025-03-11 02:15:55,296 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.0798 [2025-03-11 02:15:56,553 INFO hook.py line 674 2389709] ######################################## [2025-03-11 02:15:56,553 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 02:15:56,553 INFO hook.py line 680 2389709] ######################################## [2025-03-11 02:15:56,553 INFO hook.py line 689 2389709] wall : 0.7483 0.9438 [2025-03-11 02:15:56,554 INFO hook.py line 689 2389709] chair : 0.6761 0.7732 [2025-03-11 02:15:56,554 INFO hook.py line 689 2389709] floor : 0.9553 0.9741 [2025-03-11 02:15:56,554 INFO hook.py line 689 2389709] table : 0.6263 0.7768 [2025-03-11 02:15:56,554 INFO hook.py line 689 2389709] door : 0.5817 0.6434 [2025-03-11 02:15:56,555 INFO hook.py line 689 2389709] couch : 0.7678 0.8597 [2025-03-11 02:15:56,555 INFO hook.py line 689 2389709] cabinet : 0.2813 0.3910 [2025-03-11 02:15:56,555 INFO hook.py line 689 2389709] shelf : 0.3627 0.4817 [2025-03-11 02:15:56,555 INFO hook.py line 689 2389709] desk : 0.5336 0.6964 [2025-03-11 02:15:56,555 INFO hook.py line 689 2389709] office chair : 0.2789 0.6472 [2025-03-11 02:15:56,555 INFO hook.py line 689 2389709] bed : 0.7540 0.8967 [2025-03-11 02:15:56,555 INFO hook.py line 689 2389709] pillow : 0.4677 0.7454 [2025-03-11 02:15:56,555 INFO hook.py line 689 2389709] sink : 0.6288 0.7386 [2025-03-11 02:15:56,556 INFO hook.py line 689 2389709] picture : 0.3361 0.4145 [2025-03-11 02:15:56,556 INFO hook.py line 689 2389709] window : 0.5234 0.6879 [2025-03-11 02:15:56,556 INFO hook.py line 689 2389709] toilet : 0.9189 0.9353 [2025-03-11 02:15:56,556 INFO hook.py line 689 2389709] bookshelf : 0.4421 0.5634 [2025-03-11 02:15:56,556 INFO hook.py line 689 2389709] monitor : 0.7805 0.8248 [2025-03-11 02:15:56,556 INFO hook.py line 689 2389709] curtain : 0.6268 0.7089 [2025-03-11 02:15:56,556 INFO hook.py line 689 2389709] book : 0.3954 0.8301 [2025-03-11 02:15:56,556 INFO hook.py line 689 2389709] armchair : 0.5593 0.7848 [2025-03-11 02:15:56,556 INFO hook.py line 689 2389709] coffee table : 0.6960 0.7770 [2025-03-11 02:15:56,557 INFO hook.py line 689 2389709] box : 0.3569 0.4922 [2025-03-11 02:15:56,557 INFO hook.py line 689 2389709] refrigerator : 0.6038 0.6351 [2025-03-11 02:15:56,557 INFO hook.py line 689 2389709] lamp : 0.6508 0.7561 [2025-03-11 02:15:56,557 INFO hook.py line 689 2389709] kitchen cabinet: 0.6991 0.7986 [2025-03-11 02:15:56,557 INFO hook.py line 689 2389709] towel : 0.4636 0.5838 [2025-03-11 02:15:56,557 INFO hook.py line 689 2389709] clothes : 0.1975 0.3402 [2025-03-11 02:15:56,557 INFO hook.py line 689 2389709] tv : 0.8363 0.8759 [2025-03-11 02:15:56,557 INFO hook.py line 689 2389709] nightstand : 0.4539 0.8175 [2025-03-11 02:15:56,557 INFO hook.py line 689 2389709] counter : 0.2588 0.3355 [2025-03-11 02:15:56,557 INFO hook.py line 689 2389709] dresser : 0.2731 0.6958 [2025-03-11 02:15:56,558 INFO hook.py line 689 2389709] stool : 0.4103 0.4860 [2025-03-11 02:15:56,558 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 02:15:56,558 INFO hook.py line 689 2389709] plant : 0.7246 0.7934 [2025-03-11 02:15:56,558 INFO hook.py line 689 2389709] ceiling : 0.9180 0.9484 [2025-03-11 02:15:56,558 INFO hook.py line 689 2389709] bathtub : 0.8505 0.9172 [2025-03-11 02:15:56,558 INFO hook.py line 689 2389709] end table : 0.0852 0.1117 [2025-03-11 02:15:56,558 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 [2025-03-11 02:15:56,558 INFO hook.py line 689 2389709] keyboard : 0.3551 0.4095 [2025-03-11 02:15:56,558 INFO hook.py line 689 2389709] bag : 0.3137 0.4156 [2025-03-11 02:15:56,559 INFO hook.py line 689 2389709] backpack : 0.5540 0.5953 [2025-03-11 02:15:56,559 INFO hook.py line 689 2389709] toilet paper : 0.4390 0.5310 [2025-03-11 02:15:56,559 INFO hook.py line 689 2389709] printer : 0.4661 0.5279 [2025-03-11 02:15:56,559 INFO hook.py line 689 2389709] tv stand : 0.5641 0.6530 [2025-03-11 02:15:56,559 INFO hook.py line 689 2389709] whiteboard : 0.4688 0.5405 [2025-03-11 02:15:56,559 INFO hook.py line 689 2389709] blanket : 0.0119 0.0154 [2025-03-11 02:15:56,560 INFO hook.py line 689 2389709] shower curtain : 0.5735 0.6096 [2025-03-11 02:15:56,560 INFO hook.py line 689 2389709] trash can : 0.6089 0.7143 [2025-03-11 02:15:56,560 INFO hook.py line 689 2389709] closet : 0.0000 0.0000 [2025-03-11 02:15:56,560 INFO hook.py line 689 2389709] stairs : 0.4113 0.7783 [2025-03-11 02:15:56,560 INFO hook.py line 689 2389709] microwave : 0.4463 0.7591 [2025-03-11 02:15:56,560 INFO hook.py line 689 2389709] stove : 0.6548 0.8753 [2025-03-11 02:15:56,560 INFO hook.py line 689 2389709] shoe : 0.4755 0.6612 [2025-03-11 02:15:56,560 INFO hook.py line 689 2389709] computer tower : 0.5347 0.7473 [2025-03-11 02:15:56,560 INFO hook.py line 689 2389709] bottle : 0.1248 0.1742 [2025-03-11 02:15:56,560 INFO hook.py line 689 2389709] bin : 0.0228 0.0288 [2025-03-11 02:15:56,561 INFO hook.py line 689 2389709] ottoman : 0.3389 0.3846 [2025-03-11 02:15:56,561 INFO hook.py line 689 2389709] bench : 0.4264 0.5352 [2025-03-11 02:15:56,561 INFO hook.py line 689 2389709] board : 0.0496 0.0568 [2025-03-11 02:15:56,561 INFO hook.py line 689 2389709] washing machine: 0.7738 0.8222 [2025-03-11 02:15:56,561 INFO hook.py line 689 2389709] mirror : 0.2992 0.5602 [2025-03-11 02:15:56,561 INFO hook.py line 689 2389709] copier : 0.7335 0.9139 [2025-03-11 02:15:56,561 INFO hook.py line 689 2389709] basket : 0.1695 0.2476 [2025-03-11 02:15:56,561 INFO hook.py line 689 2389709] sofa chair : 0.0575 0.0642 [2025-03-11 02:15:56,561 INFO hook.py line 689 2389709] file cabinet : 0.5460 0.6656 [2025-03-11 02:15:56,562 INFO hook.py line 689 2389709] fan : 0.3292 0.3491 [2025-03-11 02:15:56,562 INFO hook.py line 689 2389709] laptop : 0.4526 0.7168 [2025-03-11 02:15:56,562 INFO hook.py line 689 2389709] shower : 0.1264 0.1389 [2025-03-11 02:15:56,563 INFO hook.py line 689 2389709] paper : 0.0662 0.1036 [2025-03-11 02:15:56,563 INFO hook.py line 689 2389709] person : 0.2734 0.4711 [2025-03-11 02:15:56,563 INFO hook.py line 689 2389709] paper towel dispenser: 0.5265 0.6866 [2025-03-11 02:15:56,563 INFO hook.py line 689 2389709] oven : 0.0247 0.0285 [2025-03-11 02:15:56,563 INFO hook.py line 689 2389709] blinds : 0.0167 0.0186 [2025-03-11 02:15:56,563 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 02:15:56,563 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 02:15:56,563 INFO hook.py line 689 2389709] blackboard : 0.5577 0.6019 [2025-03-11 02:15:56,563 INFO hook.py line 689 2389709] piano : 0.2706 0.6319 [2025-03-11 02:15:56,564 INFO hook.py line 689 2389709] suitcase : 0.5285 0.6737 [2025-03-11 02:15:56,564 INFO hook.py line 689 2389709] rail : 0.0339 0.0352 [2025-03-11 02:15:56,564 INFO hook.py line 689 2389709] radiator : 0.5799 0.6652 [2025-03-11 02:15:56,564 INFO hook.py line 689 2389709] recycling bin : 0.4567 0.4899 [2025-03-11 02:15:56,564 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 02:15:56,564 INFO hook.py line 689 2389709] wardrobe : 0.0444 0.0444 [2025-03-11 02:15:56,564 INFO hook.py line 689 2389709] soap dispenser : 0.7825 0.8929 [2025-03-11 02:15:56,564 INFO hook.py line 689 2389709] telephone : 0.2559 0.4333 [2025-03-11 02:15:56,564 INFO hook.py line 689 2389709] bucket : 0.1232 0.1480 [2025-03-11 02:15:56,564 INFO hook.py line 689 2389709] clock : 0.2175 0.3056 [2025-03-11 02:15:56,565 INFO hook.py line 689 2389709] stand : 0.0004 0.0039 [2025-03-11 02:15:56,565 INFO hook.py line 689 2389709] light : 0.0087 0.0124 [2025-03-11 02:15:56,565 INFO hook.py line 689 2389709] laundry basket : 0.0721 0.0910 [2025-03-11 02:15:56,565 INFO hook.py line 689 2389709] pipe : 0.0917 0.1402 [2025-03-11 02:15:56,565 INFO hook.py line 689 2389709] clothes dryer : 0.4514 0.5228 [2025-03-11 02:15:56,565 INFO hook.py line 689 2389709] guitar : 0.4416 0.5743 [2025-03-11 02:15:56,566 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 02:15:56,566 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 02:15:56,566 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 02:15:56,566 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 02:15:56,566 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 02:15:56,566 INFO hook.py line 689 2389709] ladder : 0.3956 0.5030 [2025-03-11 02:15:56,566 INFO hook.py line 689 2389709] bathroom stall : 0.4145 0.4716 [2025-03-11 02:15:56,566 INFO hook.py line 689 2389709] shower wall : 0.4795 0.6760 [2025-03-11 02:15:56,567 INFO hook.py line 689 2389709] cup : 0.1757 0.3579 [2025-03-11 02:15:56,567 INFO hook.py line 689 2389709] jacket : 0.2153 0.2960 [2025-03-11 02:15:56,567 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 [2025-03-11 02:15:56,567 INFO hook.py line 689 2389709] coffee maker : 0.3658 0.9843 [2025-03-11 02:15:56,567 INFO hook.py line 689 2389709] dishwasher : 0.0547 0.0867 [2025-03-11 02:15:56,567 INFO hook.py line 689 2389709] paper towel roll: 0.2019 0.2899 [2025-03-11 02:15:56,567 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 02:15:56,567 INFO hook.py line 689 2389709] mat : 0.2191 0.2541 [2025-03-11 02:15:56,567 INFO hook.py line 689 2389709] windowsill : 0.2445 0.3127 [2025-03-11 02:15:56,567 INFO hook.py line 689 2389709] bar : 0.0814 0.1828 [2025-03-11 02:15:56,568 INFO hook.py line 689 2389709] toaster : 0.0617 0.1208 [2025-03-11 02:15:56,568 INFO hook.py line 689 2389709] bulletin board : 0.1252 0.1723 [2025-03-11 02:15:56,568 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 [2025-03-11 02:15:56,568 INFO hook.py line 689 2389709] fireplace : 0.4940 0.5170 [2025-03-11 02:15:56,568 INFO hook.py line 689 2389709] soap dish : 0.3400 0.5241 [2025-03-11 02:15:56,568 INFO hook.py line 689 2389709] kitchen counter: 0.5900 0.7391 [2025-03-11 02:15:56,568 INFO hook.py line 689 2389709] doorframe : 0.3679 0.5649 [2025-03-11 02:15:56,568 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4399 0.7781 [2025-03-11 02:15:56,569 INFO hook.py line 689 2389709] mini fridge : 0.2863 0.3245 [2025-03-11 02:15:56,569 INFO hook.py line 689 2389709] fire extinguisher: 0.0754 0.1960 [2025-03-11 02:15:56,569 INFO hook.py line 689 2389709] ball : 0.7984 0.8918 [2025-03-11 02:15:56,569 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 02:15:56,569 INFO hook.py line 689 2389709] shower curtain rod: 0.3580 0.7626 [2025-03-11 02:15:56,569 INFO hook.py line 689 2389709] water cooler : 0.3961 0.4007 [2025-03-11 02:15:56,569 INFO hook.py line 689 2389709] paper cutter : 0.2252 0.2793 [2025-03-11 02:15:56,570 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 [2025-03-11 02:15:56,570 INFO hook.py line 689 2389709] shower door : 0.0573 0.0683 [2025-03-11 02:15:56,570 INFO hook.py line 689 2389709] pillar : 0.0753 0.1134 [2025-03-11 02:15:56,570 INFO hook.py line 689 2389709] ledge : 0.0722 0.1393 [2025-03-11 02:15:56,570 INFO hook.py line 689 2389709] toaster oven : 0.1995 0.2384 [2025-03-11 02:15:56,570 INFO hook.py line 689 2389709] mouse : 0.0357 0.1327 [2025-03-11 02:15:56,570 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5155 0.6221 [2025-03-11 02:15:56,570 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 02:15:56,570 INFO hook.py line 689 2389709] cart : 0.1884 0.2873 [2025-03-11 02:15:56,571 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 02:15:56,571 INFO hook.py line 689 2389709] scale : 0.2273 0.9671 [2025-03-11 02:15:56,571 INFO hook.py line 689 2389709] tissue box : 0.1295 0.1983 [2025-03-11 02:15:56,571 INFO hook.py line 689 2389709] light switch : 0.0257 0.0706 [2025-03-11 02:15:56,571 INFO hook.py line 689 2389709] crate : 0.0001 0.0002 [2025-03-11 02:15:56,571 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 02:15:56,571 INFO hook.py line 689 2389709] decoration : 0.0172 0.0303 [2025-03-11 02:15:56,571 INFO hook.py line 689 2389709] sign : 0.0151 0.0267 [2025-03-11 02:15:56,571 INFO hook.py line 689 2389709] projector : 0.1504 0.9846 [2025-03-11 02:15:56,572 INFO hook.py line 689 2389709] closet door : 0.0269 0.0270 [2025-03-11 02:15:56,572 INFO hook.py line 689 2389709] vacuum cleaner : 0.8257 0.9635 [2025-03-11 02:15:56,572 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 02:15:56,572 INFO hook.py line 689 2389709] plunger : 0.4637 0.6346 [2025-03-11 02:15:56,572 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 02:15:56,572 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 02:15:56,573 INFO hook.py line 689 2389709] dish rack : 0.4429 0.9028 [2025-03-11 02:15:56,573 INFO hook.py line 689 2389709] broom : 0.0366 0.0408 [2025-03-11 02:15:56,573 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 02:15:56,573 INFO hook.py line 689 2389709] range hood : 0.7106 0.8912 [2025-03-11 02:15:56,573 INFO hook.py line 689 2389709] dustpan : 0.1009 0.2278 [2025-03-11 02:15:56,573 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 02:15:56,573 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 02:15:56,573 INFO hook.py line 689 2389709] handicap bar : 0.0814 0.8446 [2025-03-11 02:15:56,573 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 02:15:56,573 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 02:15:56,574 INFO hook.py line 689 2389709] shower floor : 0.4765 0.9640 [2025-03-11 02:15:56,574 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 02:15:56,574 INFO hook.py line 689 2389709] mailbox : 0.2324 0.2324 [2025-03-11 02:15:56,574 INFO hook.py line 689 2389709] bowl : 0.0580 0.1766 [2025-03-11 02:15:56,574 INFO hook.py line 689 2389709] paper bag : 0.0063 0.0074 [2025-03-11 02:15:56,574 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 02:15:56,574 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 02:15:56,574 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 02:15:56,574 INFO hook.py line 689 2389709] divider : 0.4188 0.5255 [2025-03-11 02:15:56,575 INFO hook.py line 689 2389709] laundry detergent: 0.1082 0.1104 [2025-03-11 02:15:56,575 INFO hook.py line 689 2389709] bathroom counter: 0.2075 0.4781 [2025-03-11 02:15:56,575 INFO hook.py line 689 2389709] object : 0.0297 0.0519 [2025-03-11 02:15:56,575 INFO hook.py line 689 2389709] bathroom vanity: 0.3996 0.6721 [2025-03-11 02:15:56,575 INFO hook.py line 689 2389709] closet wall : 0.0533 0.0788 [2025-03-11 02:15:56,575 INFO hook.py line 689 2389709] laundry hamper : 0.0127 0.0154 [2025-03-11 02:15:56,575 INFO hook.py line 689 2389709] bathroom stall door: 0.4779 0.5611 [2025-03-11 02:15:56,576 INFO hook.py line 689 2389709] ceiling light : 0.3192 0.6866 [2025-03-11 02:15:56,576 INFO hook.py line 689 2389709] trash bin : 0.3711 0.6589 [2025-03-11 02:15:56,576 INFO hook.py line 689 2389709] dumbbell : 0.8694 0.9781 [2025-03-11 02:15:56,576 INFO hook.py line 689 2389709] stair rail : 0.1696 0.1992 [2025-03-11 02:15:56,576 INFO hook.py line 689 2389709] tube : 0.0798 0.1269 [2025-03-11 02:15:56,576 INFO hook.py line 689 2389709] bathroom cabinet: 0.4045 0.6793 [2025-03-11 02:15:56,576 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 02:15:56,576 INFO hook.py line 689 2389709] closet rod : 0.2153 0.8752 [2025-03-11 02:15:56,577 INFO hook.py line 689 2389709] coffee kettle : 0.0142 0.0321 [2025-03-11 02:15:56,577 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 02:15:56,577 INFO hook.py line 689 2389709] shower head : 0.2435 0.2538 [2025-03-11 02:15:56,577 INFO hook.py line 689 2389709] keyboard piano : 0.0274 0.0457 [2025-03-11 02:15:56,577 INFO hook.py line 689 2389709] case of water bottles: 0.0209 0.0210 [2025-03-11 02:15:56,577 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 02:15:56,577 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 02:15:56,577 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 02:15:56,577 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 02:15:56,577 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 02:15:56,578 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 02:15:56,578 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 02:15:56,578 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 02:15:56,578 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 02:15:56,578 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 [2025-03-11 02:15:56,578 INFO hook.py line 690 2389709] ######################################## [2025-03-11 02:15:56,578 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2745/0.3764/0.7987. [2025-03-11 02:15:56,580 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 02:15:56,597 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2745 [2025-03-11 02:15:56,598 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2745 [2025-03-11 02:15:56,598 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 02:16:27,494 INFO hook.py line 566 2389709] Train: [21/100][50/300] Data 0.002 (0.002) Batch 0.423 (0.488) Remain 03:14:49 loss: 1.0996 Lr: 4.69212e-03 [2025-03-11 02:16:51,820 INFO hook.py line 566 2389709] Train: [21/100][100/300] Data 0.002 (0.002) Batch 0.468 (0.487) Remain 03:14:05 loss: 0.8275 Lr: 4.68547e-03 [2025-03-11 02:17:16,681 INFO hook.py line 566 2389709] Train: [21/100][150/300] Data 0.003 (0.002) Batch 0.508 (0.491) Remain 03:15:01 loss: 1.0084 Lr: 4.67874e-03 [2025-03-11 02:17:41,482 INFO hook.py line 566 2389709] Train: [21/100][200/300] Data 0.003 (0.002) Batch 0.533 (0.492) Remain 03:15:09 loss: 0.9745 Lr: 4.67195e-03 [2025-03-11 02:18:05,977 INFO hook.py line 566 2389709] Train: [21/100][250/300] Data 0.003 (0.002) Batch 0.541 (0.492) Remain 03:14:35 loss: 1.1323 Lr: 4.66510e-03 [2025-03-11 02:18:30,328 INFO hook.py line 566 2389709] Train: [21/100][300/300] Data 0.002 (0.002) Batch 0.515 (0.491) Remain 03:13:52 loss: 1.0053 Lr: 4.65818e-03 [2025-03-11 02:18:30,329 INFO misc.py line 135 2389709] Train result: loss: 0.9704 [2025-03-11 02:18:30,429 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 02:19:25,413 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5690 [2025-03-11 02:19:25,460 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3701 [2025-03-11 02:19:25,502 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6839 [2025-03-11 02:19:25,553 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.6217 [2025-03-11 02:19:25,592 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0626 [2025-03-11 02:19:25,650 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8521 [2025-03-11 02:19:25,704 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9350 [2025-03-11 02:19:25,742 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4469 [2025-03-11 02:19:25,787 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2365 [2025-03-11 02:19:25,824 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2549 [2025-03-11 02:19:25,871 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1811 [2025-03-11 02:19:25,914 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.9874 [2025-03-11 02:19:25,965 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.4291 [2025-03-11 02:19:26,009 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.7425 [2025-03-11 02:19:26,045 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.9663 [2025-03-11 02:19:26,102 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.3171 [2025-03-11 02:19:26,140 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.0165 [2025-03-11 02:19:26,177 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9598 [2025-03-11 02:19:26,224 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.1550 [2025-03-11 02:19:26,271 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.3899 [2025-03-11 02:19:26,312 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6707 [2025-03-11 02:19:26,352 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.5886 [2025-03-11 02:19:26,387 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.6486 [2025-03-11 02:19:26,444 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.8817 [2025-03-11 02:19:26,487 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.1418 [2025-03-11 02:19:26,528 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2937 [2025-03-11 02:19:26,586 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.5034 [2025-03-11 02:19:26,629 INFO hook.py line 748 2389709] Test: [28/78] Loss 1.2731 [2025-03-11 02:19:26,662 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.6751 [2025-03-11 02:19:26,720 INFO hook.py line 748 2389709] Test: [30/78] Loss 2.0232 [2025-03-11 02:19:26,778 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.7736 [2025-03-11 02:19:26,816 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4054 [2025-03-11 02:19:26,873 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8982 [2025-03-11 02:19:26,912 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.7627 [2025-03-11 02:19:26,958 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.0671 [2025-03-11 02:19:26,995 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3152 [2025-03-11 02:19:27,037 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.1759 [2025-03-11 02:19:27,075 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.6783 [2025-03-11 02:19:27,154 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.8967 [2025-03-11 02:19:27,201 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4954 [2025-03-11 02:19:27,257 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1672 [2025-03-11 02:19:27,293 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.6020 [2025-03-11 02:19:27,333 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1907 [2025-03-11 02:19:27,390 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9465 [2025-03-11 02:19:27,427 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.3986 [2025-03-11 02:19:27,476 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1384 [2025-03-11 02:19:27,518 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.0201 [2025-03-11 02:19:27,552 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0665 [2025-03-11 02:19:27,584 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.6986 [2025-03-11 02:19:27,617 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.6053 [2025-03-11 02:19:27,651 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0566 [2025-03-11 02:19:27,688 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6706 [2025-03-11 02:19:27,719 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1614 [2025-03-11 02:19:27,755 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.1715 [2025-03-11 02:19:27,793 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.0284 [2025-03-11 02:19:27,834 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8656 [2025-03-11 02:19:27,868 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.6822 [2025-03-11 02:19:27,893 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1455 [2025-03-11 02:19:27,935 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7463 [2025-03-11 02:19:27,976 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5237 [2025-03-11 02:19:28,005 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.1707 [2025-03-11 02:19:28,045 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9580 [2025-03-11 02:19:28,082 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.6783 [2025-03-11 02:19:28,140 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6061 [2025-03-11 02:19:28,172 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.0952 [2025-03-11 02:19:28,215 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.6287 [2025-03-11 02:19:28,255 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9225 [2025-03-11 02:19:28,297 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.8575 [2025-03-11 02:19:28,330 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4073 [2025-03-11 02:19:28,390 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7321 [2025-03-11 02:19:28,434 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.0084 [2025-03-11 02:19:28,492 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.4678 [2025-03-11 02:19:28,550 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7076 [2025-03-11 02:19:28,593 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.8882 [2025-03-11 02:19:28,644 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5394 [2025-03-11 02:19:28,673 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7458 [2025-03-11 02:19:28,736 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6825 [2025-03-11 02:19:28,763 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9103 [2025-03-11 02:19:30,034 INFO hook.py line 674 2389709] ######################################## [2025-03-11 02:19:30,034 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 02:19:30,034 INFO hook.py line 680 2389709] ######################################## [2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] wall : 0.7693 0.9116 [2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] chair : 0.6964 0.7800 [2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] floor : 0.9553 0.9818 [2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] table : 0.6466 0.7762 [2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] door : 0.5665 0.6101 [2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] couch : 0.7587 0.8578 [2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] cabinet : 0.2476 0.3381 [2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] shelf : 0.4128 0.5659 [2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] desk : 0.5383 0.6798 [2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] office chair : 0.2794 0.5604 [2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] bed : 0.6889 0.9270 [2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] pillow : 0.4558 0.7118 [2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] sink : 0.6323 0.6923 [2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] picture : 0.3395 0.4952 [2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] window : 0.5050 0.6274 [2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] toilet : 0.9039 0.9673 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] bookshelf : 0.3746 0.4322 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] monitor : 0.8419 0.9232 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] curtain : 0.6843 0.7977 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] book : 0.3959 0.7644 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] armchair : 0.4694 0.6989 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] coffee table : 0.6522 0.8322 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] box : 0.2388 0.3771 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] refrigerator : 0.6295 0.6904 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] lamp : 0.6543 0.7313 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] kitchen cabinet: 0.4594 0.7245 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] towel : 0.4623 0.6365 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] clothes : 0.2112 0.4022 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] tv : 0.8090 0.9372 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] nightstand : 0.6664 0.7932 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] counter : 0.1996 0.2314 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] dresser : 0.2210 0.5425 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] stool : 0.5432 0.7468 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] plant : 0.7151 0.8649 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] ceiling : 0.9180 0.9639 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] bathtub : 0.8022 0.9296 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] end table : 0.1832 0.3860 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] dining table : 0.1012 0.1699 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] keyboard : 0.4158 0.5812 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] bag : 0.1427 0.2653 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] backpack : 0.4718 0.4996 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] toilet paper : 0.3638 0.5619 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] printer : 0.3374 0.5604 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] tv stand : 0.4485 0.9067 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] whiteboard : 0.4791 0.5685 [2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] blanket : 0.0000 0.0000 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] shower curtain : 0.5985 0.7667 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] trash can : 0.6101 0.8105 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] closet : 0.0705 0.0882 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] stairs : 0.4950 0.6964 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] microwave : 0.3314 0.7451 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] stove : 0.5374 0.8650 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] shoe : 0.4369 0.5296 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] computer tower : 0.5756 0.6487 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] bottle : 0.1106 0.2327 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] bin : 0.0173 0.0374 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] ottoman : 0.3838 0.7043 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] bench : 0.1338 0.1445 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] board : 0.1099 0.2016 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] washing machine: 0.6402 0.9063 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] mirror : 0.3547 0.4333 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] copier : 0.8197 0.9466 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] basket : 0.0024 0.0075 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] sofa chair : 0.1343 0.3108 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] file cabinet : 0.4727 0.5517 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] fan : 0.3129 0.4476 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] laptop : 0.4706 0.5610 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] shower : 0.1887 0.2090 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] paper : 0.0198 0.0224 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] person : 0.1617 0.5112 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] paper towel dispenser: 0.5726 0.7972 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] oven : 0.0750 0.1067 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] blackboard : 0.5882 0.6385 [2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] piano : 0.5666 0.6904 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] suitcase : 0.4854 0.8276 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] rail : 0.0179 0.0188 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] radiator : 0.5573 0.6437 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] recycling bin : 0.4898 0.5436 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] container : 0.0003 0.0009 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] wardrobe : 0.1573 0.3738 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] soap dispenser : 0.7062 0.8963 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] telephone : 0.2863 0.4355 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] bucket : 0.2612 0.4836 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] clock : 0.1954 0.2235 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] light : 0.0486 0.0636 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] laundry basket : 0.1340 0.5461 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] pipe : 0.1072 0.1760 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] clothes dryer : 0.5107 0.5793 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] guitar : 0.5735 0.8287 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] column : 0.1529 0.2089 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] ladder : 0.4773 0.6315 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] bathroom stall : 0.2920 0.3260 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] shower wall : 0.4986 0.6855 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] cup : 0.2142 0.3529 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] jacket : 0.1407 0.1818 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] storage bin : 0.0406 0.1091 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] coffee maker : 0.6547 0.9541 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] dishwasher : 0.0927 0.8023 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] paper towel roll: 0.2254 0.2295 [2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] mat : 0.2301 0.2838 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] windowsill : 0.2361 0.3109 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] bar : 0.1010 0.1919 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] bulletin board : 0.0864 0.1324 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] ironing board : 0.0027 0.0047 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] fireplace : 0.4798 0.6172 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] soap dish : 0.3095 0.3886 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] kitchen counter: 0.5591 0.8194 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] doorframe : 0.3614 0.5642 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2950 0.4043 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] mini fridge : 0.2828 0.2989 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] ball : 0.6009 0.9009 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] shower curtain rod: 0.1553 0.9654 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] water cooler : 0.3095 0.5513 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] paper cutter : 0.2163 0.2518 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] shower door : 0.0977 0.1523 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] pillar : 0.0007 0.0007 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] ledge : 0.0456 0.0591 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] toaster oven : 0.1028 0.1035 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] mouse : 0.0451 0.3545 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6402 0.8161 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] cart : 0.3165 0.4412 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] scale : 0.3924 0.9578 [2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] tissue box : 0.1618 0.2799 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] light switch : 0.1053 0.1963 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] decoration : 0.2395 0.4301 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] sign : 0.0089 0.0151 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] closet door : 0.1573 0.1630 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] vacuum cleaner : 0.5863 0.8063 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] plunger : 0.1306 0.9873 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] dish rack : 0.2714 0.4230 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] broom : 0.0107 0.0144 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] range hood : 0.4966 0.9246 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] dustpan : 0.0299 0.1345 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] handicap bar : 0.0439 0.7176 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] shower floor : 0.6712 0.9355 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] water pitcher : 0.0988 0.3518 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] mailbox : 0.3874 0.4069 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] bowl : 0.0009 0.0016 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] paper bag : 0.0752 0.0999 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] projector screen: 0.0697 0.1406 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] divider : 0.4833 0.6007 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] laundry detergent: 0.0059 0.0061 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] bathroom counter: 0.3267 0.4357 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] object : 0.0461 0.0773 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] bathroom vanity: 0.4253 0.7979 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] closet wall : 0.0766 0.1061 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] laundry hamper : 0.1462 0.3922 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] bathroom stall door: 0.4552 0.7114 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] ceiling light : 0.1898 0.3194 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] trash bin : 0.3820 0.5046 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] dumbbell : 0.3278 0.9813 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] stair rail : 0.1436 0.2452 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] tube : 0.0910 0.1385 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] bathroom cabinet: 0.0494 0.0628 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] closet rod : 0.4866 0.7414 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] coffee kettle : 0.0154 0.0200 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] shower head : 0.2318 0.3388 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] mattress : 0.1412 0.1512 [2025-03-11 02:19:30,041 INFO hook.py line 690 2389709] ######################################## [2025-03-11 02:19:30,041 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2692/0.3898/0.7938. [2025-03-11 02:19:30,041 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 02:19:30,059 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2745 [2025-03-11 02:19:30,060 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 02:20:00,666 INFO hook.py line 566 2389709] Train: [22/100][50/300] Data 0.002 (0.003) Batch 0.504 (0.494) Remain 03:14:38 loss: 0.7062 Lr: 4.65119e-03 [2025-03-11 02:20:25,258 INFO hook.py line 566 2389709] Train: [22/100][100/300] Data 0.002 (0.003) Batch 0.513 (0.493) Remain 03:13:49 loss: 1.0792 Lr: 4.64414e-03 [2025-03-11 02:20:49,924 INFO hook.py line 566 2389709] Train: [22/100][150/300] Data 0.003 (0.002) Batch 0.463 (0.493) Remain 03:13:29 loss: 0.8526 Lr: 4.63702e-03 [2025-03-11 02:21:14,089 INFO hook.py line 566 2389709] Train: [22/100][200/300] Data 0.003 (0.002) Batch 0.480 (0.491) Remain 03:12:07 loss: 0.7124 Lr: 4.62984e-03 [2025-03-11 02:21:38,841 INFO hook.py line 566 2389709] Train: [22/100][250/300] Data 0.002 (0.002) Batch 0.502 (0.491) Remain 03:12:04 loss: 1.1529 Lr: 4.62259e-03 [2025-03-11 02:22:02,927 INFO hook.py line 566 2389709] Train: [22/100][300/300] Data 0.001 (0.002) Batch 0.432 (0.490) Remain 03:11:01 loss: 1.1593 Lr: 4.61528e-03 [2025-03-11 02:22:02,928 INFO misc.py line 135 2389709] Train result: loss: 0.9774 [2025-03-11 02:22:03,018 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 02:22:57,282 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4902 [2025-03-11 02:22:57,331 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2353 [2025-03-11 02:22:57,379 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5650 [2025-03-11 02:22:57,429 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5805 [2025-03-11 02:22:57,464 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9285 [2025-03-11 02:22:57,522 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.7239 [2025-03-11 02:22:57,578 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9617 [2025-03-11 02:22:57,615 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4840 [2025-03-11 02:22:57,660 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2791 [2025-03-11 02:22:57,701 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.0143 [2025-03-11 02:22:57,750 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1357 [2025-03-11 02:22:57,797 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1182 [2025-03-11 02:22:57,847 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.2113 [2025-03-11 02:22:57,891 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.1328 [2025-03-11 02:22:57,936 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0851 [2025-03-11 02:22:57,984 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.4693 [2025-03-11 02:22:58,023 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.0022 [2025-03-11 02:22:58,061 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9600 [2025-03-11 02:22:58,104 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.3589 [2025-03-11 02:22:58,141 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.3651 [2025-03-11 02:22:58,180 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7240 [2025-03-11 02:22:58,226 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6335 [2025-03-11 02:22:58,258 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.2733 [2025-03-11 02:22:58,310 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9229 [2025-03-11 02:22:58,353 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4483 [2025-03-11 02:22:58,395 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.3509 [2025-03-11 02:22:58,452 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.4430 [2025-03-11 02:22:58,494 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7660 [2025-03-11 02:22:58,523 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0433 [2025-03-11 02:22:58,578 INFO hook.py line 748 2389709] Test: [30/78] Loss 2.4108 [2025-03-11 02:22:58,636 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6342 [2025-03-11 02:22:58,675 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1844 [2025-03-11 02:22:58,732 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8757 [2025-03-11 02:22:58,771 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.6777 [2025-03-11 02:22:58,808 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.0425 [2025-03-11 02:22:58,846 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3441 [2025-03-11 02:22:58,885 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.6061 [2025-03-11 02:22:58,915 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7285 [2025-03-11 02:22:58,983 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.9485 [2025-03-11 02:22:59,032 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5365 [2025-03-11 02:22:59,077 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3762 [2025-03-11 02:22:59,104 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5781 [2025-03-11 02:22:59,139 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1164 [2025-03-11 02:22:59,197 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9442 [2025-03-11 02:22:59,235 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4426 [2025-03-11 02:22:59,282 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.8839 [2025-03-11 02:22:59,320 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.6223 [2025-03-11 02:22:59,354 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1260 [2025-03-11 02:22:59,385 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.1758 [2025-03-11 02:22:59,418 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.0030 [2025-03-11 02:22:59,457 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.8381 [2025-03-11 02:22:59,492 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6387 [2025-03-11 02:22:59,521 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1512 [2025-03-11 02:22:59,557 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8745 [2025-03-11 02:22:59,596 INFO hook.py line 748 2389709] Test: [55/78] Loss 0.9520 [2025-03-11 02:22:59,637 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9596 [2025-03-11 02:22:59,672 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.6914 [2025-03-11 02:22:59,698 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1664 [2025-03-11 02:22:59,737 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9813 [2025-03-11 02:22:59,773 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5978 [2025-03-11 02:22:59,797 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9862 [2025-03-11 02:22:59,833 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0311 [2025-03-11 02:22:59,871 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.4085 [2025-03-11 02:22:59,927 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9167 [2025-03-11 02:22:59,955 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.0247 [2025-03-11 02:22:59,997 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.6059 [2025-03-11 02:23:00,037 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9256 [2025-03-11 02:23:00,073 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0687 [2025-03-11 02:23:00,104 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3096 [2025-03-11 02:23:00,164 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7503 [2025-03-11 02:23:00,207 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.2392 [2025-03-11 02:23:00,262 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.8101 [2025-03-11 02:23:00,315 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5805 [2025-03-11 02:23:00,358 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.8073 [2025-03-11 02:23:00,409 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5383 [2025-03-11 02:23:00,437 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9879 [2025-03-11 02:23:00,496 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7785 [2025-03-11 02:23:00,522 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.1103 [2025-03-11 02:23:01,686 INFO hook.py line 674 2389709] ######################################## [2025-03-11 02:23:01,686 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 02:23:01,686 INFO hook.py line 680 2389709] ######################################## [2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] wall : 0.7656 0.9202 [2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] chair : 0.7453 0.8680 [2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] floor : 0.9511 0.9827 [2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] table : 0.6478 0.7817 [2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] door : 0.6021 0.7856 [2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] couch : 0.7665 0.9377 [2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] cabinet : 0.2658 0.4300 [2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] shelf : 0.4164 0.5353 [2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] desk : 0.5462 0.7183 [2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] office chair : 0.1095 0.1328 [2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] bed : 0.7643 0.8647 [2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] pillow : 0.4761 0.5997 [2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] sink : 0.5944 0.7508 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] picture : 0.3435 0.5153 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] window : 0.5001 0.5959 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] toilet : 0.9087 0.9374 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] bookshelf : 0.5288 0.7201 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] monitor : 0.8105 0.9034 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] curtain : 0.6653 0.8202 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] book : 0.4058 0.6187 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] armchair : 0.4405 0.5749 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] coffee table : 0.5856 0.6655 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] box : 0.3015 0.4033 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] refrigerator : 0.6392 0.8144 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] lamp : 0.5823 0.7238 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] kitchen cabinet: 0.6562 0.8957 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] towel : 0.3852 0.6017 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] clothes : 0.1715 0.2868 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] tv : 0.7425 0.9260 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] nightstand : 0.6043 0.8234 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] counter : 0.2901 0.3880 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] dresser : 0.3336 0.6975 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] stool : 0.5058 0.6722 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] plant : 0.7272 0.7888 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] ceiling : 0.9234 0.9606 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] bathtub : 0.8327 0.9160 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] end table : 0.1587 0.2697 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] dining table : 0.0252 0.0277 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] keyboard : 0.4343 0.5366 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] bag : 0.0655 0.0749 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] backpack : 0.5791 0.6419 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] toilet paper : 0.4272 0.5747 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] printer : 0.4935 0.6086 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] tv stand : 0.6985 0.8845 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] whiteboard : 0.4584 0.5949 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] blanket : 0.0004 0.0005 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] shower curtain : 0.5540 0.6033 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] trash can : 0.5486 0.6912 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] closet : 0.0198 0.0247 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] stairs : 0.5802 0.6885 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] microwave : 0.3707 0.4672 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] stove : 0.6589 0.8897 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] shoe : 0.4158 0.5869 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] computer tower : 0.5894 0.7455 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] bottle : 0.1279 0.2589 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] ottoman : 0.1307 0.1734 [2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] bench : 0.2368 0.2966 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] board : 0.1311 0.2478 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] washing machine: 0.7250 0.8761 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] mirror : 0.2851 0.5191 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] copier : 0.7990 0.9020 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] sofa chair : 0.0928 0.2333 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] file cabinet : 0.4196 0.5801 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] fan : 0.0025 0.0025 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] laptop : 0.4817 0.5562 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] shower : 0.3150 0.3417 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] paper : 0.0229 0.0345 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] person : 0.2182 0.2663 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] paper towel dispenser: 0.5152 0.5398 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] oven : 0.0310 0.0353 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] blinds : 0.0247 0.0251 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] blackboard : 0.6210 0.6844 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] piano : 0.5240 0.6531 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] suitcase : 0.4433 0.8538 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] rail : 0.0185 0.0194 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] radiator : 0.4873 0.6955 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] recycling bin : 0.4365 0.6580 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] wardrobe : 0.1397 0.2038 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] soap dispenser : 0.6866 0.8753 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] telephone : 0.2073 0.2583 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] bucket : 0.3669 0.5266 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] clock : 0.1159 0.1267 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] light : 0.0162 0.0206 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] laundry basket : 0.2050 0.2502 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] pipe : 0.0162 0.0197 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] clothes dryer : 0.1925 0.1942 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] guitar : 0.4070 0.4879 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] column : 0.1006 0.2455 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] ladder : 0.2597 0.2931 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] bathroom stall : 0.2117 0.2253 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] shower wall : 0.5027 0.6183 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] cup : 0.1515 0.4788 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] jacket : 0.1395 0.1652 [2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] storage bin : 0.0010 0.0013 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] coffee maker : 0.6198 0.8946 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] dishwasher : 0.2108 0.2523 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] paper towel roll: 0.2188 0.5455 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] machine : 0.0001 0.0001 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] mat : 0.0261 0.0274 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] windowsill : 0.2013 0.2915 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] bar : 0.1366 0.1687 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] toaster : 0.1499 0.2354 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] bulletin board : 0.2344 0.3612 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] ironing board : 0.0013 0.0013 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] fireplace : 0.4424 0.4592 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] soap dish : 0.2811 0.6278 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] kitchen counter: 0.5650 0.7629 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] doorframe : 0.3366 0.4300 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3075 0.3801 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] mini fridge : 0.0492 0.0532 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] ball : 0.6547 0.9181 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] hat : 0.0015 0.0092 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] shower curtain rod: 0.3130 0.8978 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] water cooler : 0.2209 0.2356 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] paper cutter : 0.1820 0.1957 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] tray : 0.0032 0.0057 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] shower door : 0.1088 0.1764 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] pillar : 0.0084 0.0085 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] ledge : 0.0465 0.0640 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] toaster oven : 0.1643 0.1651 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] mouse : 0.0609 0.3004 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.3795 0.4010 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] cart : 0.0792 0.0854 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] scale : 0.1661 0.7745 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] tissue box : 0.1033 0.1340 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] light switch : 0.0370 0.2985 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] decoration : 0.0140 0.0360 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] sign : 0.1184 0.1827 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] projector : 0.1384 0.7929 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] closet door : 0.0177 0.0178 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] vacuum cleaner : 0.8613 0.9238 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] plunger : 0.4877 0.5683 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] dish rack : 0.4880 0.4990 [2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] broom : 0.0532 0.0634 [2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] range hood : 0.7540 0.8866 [2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] dustpan : 0.0623 0.1827 [2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] handicap bar : 0.0291 0.3075 [2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] shower floor : 0.8246 0.9124 [2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] mailbox : 0.3439 0.3487 [2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] bowl : 0.0342 0.0547 [2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] paper bag : 0.0629 0.1136 [2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] projector screen: 0.0013 0.0014 [2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] divider : 0.4210 0.5631 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] laundry detergent: 0.0510 0.0572 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] bathroom counter: 0.2804 0.5162 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] object : 0.0535 0.1459 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] bathroom vanity: 0.3275 0.4928 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] closet wall : 0.0598 0.0713 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] laundry hamper : 0.1392 0.1630 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] bathroom stall door: 0.4246 0.6324 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] ceiling light : 0.4000 0.5238 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] trash bin : 0.2894 0.4055 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] dumbbell : 0.3000 0.9689 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] stair rail : 0.0433 0.0487 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] tube : 0.0502 0.2904 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] bathroom cabinet: 0.2528 0.4683 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] closet rod : 0.4801 0.7755 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] coffee kettle : 0.0611 0.0768 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] shower head : 0.2476 0.3473 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 02:23:01,692 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 02:23:01,692 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 02:23:01,692 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 02:23:01,692 INFO hook.py line 689 2389709] mattress : 0.0279 0.0336 [2025-03-11 02:23:01,692 INFO hook.py line 690 2389709] ######################################## [2025-03-11 02:23:01,692 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2647/0.3577/0.8031. [2025-03-11 02:23:01,692 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 02:23:01,701 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2745 [2025-03-11 02:23:01,701 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 02:23:31,798 INFO hook.py line 566 2389709] Train: [23/100][50/300] Data 0.002 (0.003) Batch 0.523 (0.502) Remain 03:15:28 loss: 0.7896 Lr: 4.60790e-03 [2025-03-11 02:23:56,790 INFO hook.py line 566 2389709] Train: [23/100][100/300] Data 0.002 (0.002) Batch 0.472 (0.501) Remain 03:14:33 loss: 0.9357 Lr: 4.60046e-03 [2025-03-11 02:24:21,358 INFO hook.py line 566 2389709] Train: [23/100][150/300] Data 0.005 (0.002) Batch 0.475 (0.498) Remain 03:12:52 loss: 0.8837 Lr: 4.59296e-03 [2025-03-11 02:24:45,848 INFO hook.py line 566 2389709] Train: [23/100][200/300] Data 0.002 (0.002) Batch 0.545 (0.496) Remain 03:11:40 loss: 0.9777 Lr: 4.58539e-03 [2025-03-11 02:25:10,587 INFO hook.py line 566 2389709] Train: [23/100][250/300] Data 0.002 (0.002) Batch 0.489 (0.496) Remain 03:11:11 loss: 0.7798 Lr: 4.57776e-03 [2025-03-11 02:25:34,522 INFO hook.py line 566 2389709] Train: [23/100][300/300] Data 0.001 (0.002) Batch 0.479 (0.493) Remain 03:09:41 loss: 0.9334 Lr: 4.57007e-03 [2025-03-11 02:25:34,522 INFO misc.py line 135 2389709] Train result: loss: 0.9520 [2025-03-11 02:25:34,620 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 02:26:30,082 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6143 [2025-03-11 02:26:30,125 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.6182 [2025-03-11 02:26:30,162 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6625 [2025-03-11 02:26:30,213 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5535 [2025-03-11 02:26:30,249 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9986 [2025-03-11 02:26:30,308 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.4724 [2025-03-11 02:26:30,360 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9637 [2025-03-11 02:26:30,407 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.1648 [2025-03-11 02:26:30,469 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3670 [2025-03-11 02:26:30,513 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1159 [2025-03-11 02:26:30,559 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.0662 [2025-03-11 02:26:30,596 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1625 [2025-03-11 02:26:30,647 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.4307 [2025-03-11 02:26:30,702 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.6870 [2025-03-11 02:26:30,741 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2032 [2025-03-11 02:26:30,791 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.2510 [2025-03-11 02:26:30,828 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1312 [2025-03-11 02:26:30,865 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8238 [2025-03-11 02:26:30,906 INFO hook.py line 748 2389709] Test: [19/78] Loss 1.9582 [2025-03-11 02:26:30,943 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4941 [2025-03-11 02:26:30,979 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6621 [2025-03-11 02:26:31,019 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7391 [2025-03-11 02:26:31,059 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.2673 [2025-03-11 02:26:31,110 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.8292 [2025-03-11 02:26:31,156 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4964 [2025-03-11 02:26:31,205 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.7292 [2025-03-11 02:26:31,260 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.4130 [2025-03-11 02:26:31,298 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5757 [2025-03-11 02:26:31,332 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0340 [2025-03-11 02:26:31,393 INFO hook.py line 748 2389709] Test: [30/78] Loss 2.3306 [2025-03-11 02:26:31,451 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6716 [2025-03-11 02:26:31,486 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1766 [2025-03-11 02:26:31,548 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8317 [2025-03-11 02:26:31,591 INFO hook.py line 748 2389709] Test: [34/78] Loss 3.0289 [2025-03-11 02:26:31,630 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.0930 [2025-03-11 02:26:31,674 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2932 [2025-03-11 02:26:31,715 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.8271 [2025-03-11 02:26:31,744 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8757 [2025-03-11 02:26:31,810 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.4927 [2025-03-11 02:26:31,866 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3260 [2025-03-11 02:26:31,915 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3140 [2025-03-11 02:26:31,943 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.6027 [2025-03-11 02:26:31,979 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.9196 [2025-03-11 02:26:32,037 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.1720 [2025-03-11 02:26:32,072 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.3216 [2025-03-11 02:26:32,120 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0833 [2025-03-11 02:26:32,158 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9118 [2025-03-11 02:26:32,191 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9498 [2025-03-11 02:26:32,223 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.2350 [2025-03-11 02:26:32,255 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.6732 [2025-03-11 02:26:32,285 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9978 [2025-03-11 02:26:32,320 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.4162 [2025-03-11 02:26:32,348 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2342 [2025-03-11 02:26:32,383 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.3261 [2025-03-11 02:26:32,422 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.0423 [2025-03-11 02:26:32,467 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9854 [2025-03-11 02:26:32,506 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.9802 [2025-03-11 02:26:32,536 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.0566 [2025-03-11 02:26:32,576 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7503 [2025-03-11 02:26:32,612 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5731 [2025-03-11 02:26:32,636 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8165 [2025-03-11 02:26:32,671 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1279 [2025-03-11 02:26:32,709 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2152 [2025-03-11 02:26:32,766 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6613 [2025-03-11 02:26:32,802 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.0424 [2025-03-11 02:26:32,849 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.8724 [2025-03-11 02:26:32,889 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0976 [2025-03-11 02:26:32,946 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.8046 [2025-03-11 02:26:32,997 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3509 [2025-03-11 02:26:33,065 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.3263 [2025-03-11 02:26:33,112 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5320 [2025-03-11 02:26:33,166 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.3520 [2025-03-11 02:26:33,220 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6901 [2025-03-11 02:26:33,263 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.7822 [2025-03-11 02:26:33,314 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6810 [2025-03-11 02:26:33,342 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.6086 [2025-03-11 02:26:33,401 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7444 [2025-03-11 02:26:33,428 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.0721 [2025-03-11 02:26:34,673 INFO hook.py line 674 2389709] ######################################## [2025-03-11 02:26:34,674 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 02:26:34,674 INFO hook.py line 680 2389709] ######################################## [2025-03-11 02:26:34,674 INFO hook.py line 689 2389709] wall : 0.7692 0.9064 [2025-03-11 02:26:34,674 INFO hook.py line 689 2389709] chair : 0.7455 0.8974 [2025-03-11 02:26:34,674 INFO hook.py line 689 2389709] floor : 0.9523 0.9660 [2025-03-11 02:26:34,674 INFO hook.py line 689 2389709] table : 0.6323 0.7536 [2025-03-11 02:26:34,674 INFO hook.py line 689 2389709] door : 0.6188 0.7863 [2025-03-11 02:26:34,674 INFO hook.py line 689 2389709] couch : 0.7797 0.8545 [2025-03-11 02:26:34,675 INFO hook.py line 689 2389709] cabinet : 0.3251 0.4848 [2025-03-11 02:26:34,675 INFO hook.py line 689 2389709] shelf : 0.3064 0.4114 [2025-03-11 02:26:34,675 INFO hook.py line 689 2389709] desk : 0.5539 0.6976 [2025-03-11 02:26:34,675 INFO hook.py line 689 2389709] office chair : 0.0022 0.0022 [2025-03-11 02:26:34,675 INFO hook.py line 689 2389709] bed : 0.7508 0.8336 [2025-03-11 02:26:34,675 INFO hook.py line 689 2389709] pillow : 0.4689 0.7444 [2025-03-11 02:26:34,675 INFO hook.py line 689 2389709] sink : 0.6178 0.7137 [2025-03-11 02:26:34,675 INFO hook.py line 689 2389709] picture : 0.3679 0.4576 [2025-03-11 02:26:34,675 INFO hook.py line 689 2389709] window : 0.5643 0.7319 [2025-03-11 02:26:34,675 INFO hook.py line 689 2389709] toilet : 0.8900 0.9239 [2025-03-11 02:26:34,675 INFO hook.py line 689 2389709] bookshelf : 0.4774 0.6762 [2025-03-11 02:26:34,676 INFO hook.py line 689 2389709] monitor : 0.8489 0.9110 [2025-03-11 02:26:34,676 INFO hook.py line 689 2389709] curtain : 0.6744 0.8177 [2025-03-11 02:26:34,676 INFO hook.py line 689 2389709] book : 0.4323 0.6763 [2025-03-11 02:26:34,676 INFO hook.py line 689 2389709] armchair : 0.4898 0.6799 [2025-03-11 02:26:34,676 INFO hook.py line 689 2389709] coffee table : 0.6245 0.7050 [2025-03-11 02:26:34,676 INFO hook.py line 689 2389709] box : 0.3097 0.4788 [2025-03-11 02:26:34,676 INFO hook.py line 689 2389709] refrigerator : 0.5395 0.5722 [2025-03-11 02:26:34,676 INFO hook.py line 689 2389709] lamp : 0.6430 0.7997 [2025-03-11 02:26:34,676 INFO hook.py line 689 2389709] kitchen cabinet: 0.6670 0.7486 [2025-03-11 02:26:34,676 INFO hook.py line 689 2389709] towel : 0.4530 0.6301 [2025-03-11 02:26:34,676 INFO hook.py line 689 2389709] clothes : 0.1206 0.5238 [2025-03-11 02:26:34,677 INFO hook.py line 689 2389709] tv : 0.8223 0.8508 [2025-03-11 02:26:34,677 INFO hook.py line 689 2389709] nightstand : 0.6009 0.7972 [2025-03-11 02:26:34,677 INFO hook.py line 689 2389709] counter : 0.2015 0.3219 [2025-03-11 02:26:34,677 INFO hook.py line 689 2389709] dresser : 0.3828 0.4957 [2025-03-11 02:26:34,677 INFO hook.py line 689 2389709] stool : 0.2826 0.7988 [2025-03-11 02:26:34,677 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 02:26:34,677 INFO hook.py line 689 2389709] plant : 0.7380 0.8883 [2025-03-11 02:26:34,677 INFO hook.py line 689 2389709] ceiling : 0.9244 0.9730 [2025-03-11 02:26:34,677 INFO hook.py line 689 2389709] bathtub : 0.8520 0.8888 [2025-03-11 02:26:34,677 INFO hook.py line 689 2389709] end table : 0.3845 0.7782 [2025-03-11 02:26:34,677 INFO hook.py line 689 2389709] dining table : 0.0752 0.1143 [2025-03-11 02:26:34,678 INFO hook.py line 689 2389709] keyboard : 0.4138 0.5570 [2025-03-11 02:26:34,678 INFO hook.py line 689 2389709] bag : 0.2051 0.5051 [2025-03-11 02:26:34,678 INFO hook.py line 689 2389709] backpack : 0.5931 0.7390 [2025-03-11 02:26:34,678 INFO hook.py line 689 2389709] toilet paper : 0.4484 0.5022 [2025-03-11 02:26:34,678 INFO hook.py line 689 2389709] printer : 0.3800 0.6094 [2025-03-11 02:26:34,678 INFO hook.py line 689 2389709] tv stand : 0.5765 0.8305 [2025-03-11 02:26:34,678 INFO hook.py line 689 2389709] whiteboard : 0.4667 0.5980 [2025-03-11 02:26:34,678 INFO hook.py line 689 2389709] blanket : 0.0073 0.0085 [2025-03-11 02:26:34,678 INFO hook.py line 689 2389709] shower curtain : 0.4955 0.5523 [2025-03-11 02:26:34,678 INFO hook.py line 689 2389709] trash can : 0.6138 0.7199 [2025-03-11 02:26:34,678 INFO hook.py line 689 2389709] closet : 0.0309 0.0383 [2025-03-11 02:26:34,679 INFO hook.py line 689 2389709] stairs : 0.5566 0.6142 [2025-03-11 02:26:34,679 INFO hook.py line 689 2389709] microwave : 0.4321 0.5644 [2025-03-11 02:26:34,679 INFO hook.py line 689 2389709] stove : 0.6118 0.8055 [2025-03-11 02:26:34,679 INFO hook.py line 689 2389709] shoe : 0.3242 0.7607 [2025-03-11 02:26:34,679 INFO hook.py line 689 2389709] computer tower : 0.3459 0.7972 [2025-03-11 02:26:34,679 INFO hook.py line 689 2389709] bottle : 0.1196 0.2101 [2025-03-11 02:26:34,679 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 02:26:34,679 INFO hook.py line 689 2389709] ottoman : 0.3397 0.4388 [2025-03-11 02:26:34,679 INFO hook.py line 689 2389709] bench : 0.4073 0.6479 [2025-03-11 02:26:34,679 INFO hook.py line 689 2389709] board : 0.1450 0.3088 [2025-03-11 02:26:34,679 INFO hook.py line 689 2389709] washing machine: 0.7213 0.9141 [2025-03-11 02:26:34,680 INFO hook.py line 689 2389709] mirror : 0.3196 0.3682 [2025-03-11 02:26:34,680 INFO hook.py line 689 2389709] copier : 0.6265 0.9512 [2025-03-11 02:26:34,680 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 02:26:34,680 INFO hook.py line 689 2389709] sofa chair : 0.1485 0.2774 [2025-03-11 02:26:34,680 INFO hook.py line 689 2389709] file cabinet : 0.3132 0.8420 [2025-03-11 02:26:34,680 INFO hook.py line 689 2389709] fan : 0.3442 0.3823 [2025-03-11 02:26:34,680 INFO hook.py line 689 2389709] laptop : 0.5012 0.6386 [2025-03-11 02:26:34,680 INFO hook.py line 689 2389709] shower : 0.0742 0.0765 [2025-03-11 02:26:34,680 INFO hook.py line 689 2389709] paper : 0.0429 0.0718 [2025-03-11 02:26:34,680 INFO hook.py line 689 2389709] person : 0.1550 0.5209 [2025-03-11 02:26:34,680 INFO hook.py line 689 2389709] paper towel dispenser: 0.5601 0.8236 [2025-03-11 02:26:34,680 INFO hook.py line 689 2389709] oven : 0.1036 0.1170 [2025-03-11 02:26:34,681 INFO hook.py line 689 2389709] blinds : 0.0006 0.0007 [2025-03-11 02:26:34,681 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 02:26:34,681 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 02:26:34,681 INFO hook.py line 689 2389709] blackboard : 0.5333 0.6618 [2025-03-11 02:26:34,681 INFO hook.py line 689 2389709] piano : 0.3691 0.6098 [2025-03-11 02:26:34,681 INFO hook.py line 689 2389709] suitcase : 0.3795 0.5172 [2025-03-11 02:26:34,681 INFO hook.py line 689 2389709] rail : 0.0204 0.0205 [2025-03-11 02:26:34,681 INFO hook.py line 689 2389709] radiator : 0.6045 0.6368 [2025-03-11 02:26:34,681 INFO hook.py line 689 2389709] recycling bin : 0.5072 0.5930 [2025-03-11 02:26:34,681 INFO hook.py line 689 2389709] container : 0.0030 0.0066 [2025-03-11 02:26:34,681 INFO hook.py line 689 2389709] wardrobe : 0.1133 0.1347 [2025-03-11 02:26:34,682 INFO hook.py line 689 2389709] soap dispenser : 0.6404 0.8133 [2025-03-11 02:26:34,682 INFO hook.py line 689 2389709] telephone : 0.1741 0.6644 [2025-03-11 02:26:34,682 INFO hook.py line 689 2389709] bucket : 0.4029 0.6602 [2025-03-11 02:26:34,682 INFO hook.py line 689 2389709] clock : 0.1518 0.3465 [2025-03-11 02:26:34,682 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 02:26:34,682 INFO hook.py line 689 2389709] light : 0.1880 0.2593 [2025-03-11 02:26:34,682 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 [2025-03-11 02:26:34,682 INFO hook.py line 689 2389709] pipe : 0.0609 0.1012 [2025-03-11 02:26:34,683 INFO hook.py line 689 2389709] clothes dryer : 0.3688 0.3968 [2025-03-11 02:26:34,683 INFO hook.py line 689 2389709] guitar : 0.1273 0.4581 [2025-03-11 02:26:34,683 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 02:26:34,683 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 02:26:34,683 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 02:26:34,683 INFO hook.py line 689 2389709] column : 0.0105 0.0841 [2025-03-11 02:26:34,683 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 02:26:34,683 INFO hook.py line 689 2389709] ladder : 0.3524 0.6249 [2025-03-11 02:26:34,683 INFO hook.py line 689 2389709] bathroom stall : 0.2568 0.2704 [2025-03-11 02:26:34,683 INFO hook.py line 689 2389709] shower wall : 0.4942 0.6082 [2025-03-11 02:26:34,684 INFO hook.py line 689 2389709] cup : 0.1659 0.4376 [2025-03-11 02:26:34,684 INFO hook.py line 689 2389709] jacket : 0.1374 0.3119 [2025-03-11 02:26:34,684 INFO hook.py line 689 2389709] storage bin : 0.0745 0.1726 [2025-03-11 02:26:34,684 INFO hook.py line 689 2389709] coffee maker : 0.4939 0.9876 [2025-03-11 02:26:34,684 INFO hook.py line 689 2389709] dishwasher : 0.1021 0.1465 [2025-03-11 02:26:34,684 INFO hook.py line 689 2389709] paper towel roll: 0.2707 0.3139 [2025-03-11 02:26:34,684 INFO hook.py line 689 2389709] machine : 0.0002 0.0004 [2025-03-11 02:26:34,684 INFO hook.py line 689 2389709] mat : 0.2719 0.2989 [2025-03-11 02:26:34,684 INFO hook.py line 689 2389709] windowsill : 0.1133 0.1195 [2025-03-11 02:26:34,684 INFO hook.py line 689 2389709] bar : 0.1141 0.1834 [2025-03-11 02:26:34,685 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 02:26:34,686 INFO hook.py line 689 2389709] bulletin board : 0.1682 0.2720 [2025-03-11 02:26:34,686 INFO hook.py line 689 2389709] ironing board : 0.0153 0.0274 [2025-03-11 02:26:34,686 INFO hook.py line 689 2389709] fireplace : 0.4847 0.4968 [2025-03-11 02:26:34,686 INFO hook.py line 689 2389709] soap dish : 0.3366 0.4821 [2025-03-11 02:26:34,686 INFO hook.py line 689 2389709] kitchen counter: 0.4235 0.4853 [2025-03-11 02:26:34,686 INFO hook.py line 689 2389709] doorframe : 0.3434 0.6514 [2025-03-11 02:26:34,686 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2601 0.3024 [2025-03-11 02:26:34,686 INFO hook.py line 689 2389709] mini fridge : 0.2647 0.5476 [2025-03-11 02:26:34,686 INFO hook.py line 689 2389709] fire extinguisher: 0.0372 0.0483 [2025-03-11 02:26:34,686 INFO hook.py line 689 2389709] ball : 0.6152 0.9352 [2025-03-11 02:26:34,686 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 02:26:34,687 INFO hook.py line 689 2389709] shower curtain rod: 0.3582 0.7171 [2025-03-11 02:26:34,687 INFO hook.py line 689 2389709] water cooler : 0.3998 0.5986 [2025-03-11 02:26:34,687 INFO hook.py line 689 2389709] paper cutter : 0.1598 0.3178 [2025-03-11 02:26:34,687 INFO hook.py line 689 2389709] tray : 0.0191 0.0608 [2025-03-11 02:26:34,687 INFO hook.py line 689 2389709] shower door : 0.0357 0.0361 [2025-03-11 02:26:34,687 INFO hook.py line 689 2389709] pillar : 0.0644 0.0900 [2025-03-11 02:26:34,687 INFO hook.py line 689 2389709] ledge : 0.0451 0.0985 [2025-03-11 02:26:34,687 INFO hook.py line 689 2389709] toaster oven : 0.1844 0.2327 [2025-03-11 02:26:34,687 INFO hook.py line 689 2389709] mouse : 0.0500 0.2601 [2025-03-11 02:26:34,687 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.1003 0.1100 [2025-03-11 02:26:34,687 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 02:26:34,688 INFO hook.py line 689 2389709] cart : 0.3076 0.5840 [2025-03-11 02:26:34,688 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 02:26:34,688 INFO hook.py line 689 2389709] scale : 0.1612 0.8946 [2025-03-11 02:26:34,688 INFO hook.py line 689 2389709] tissue box : 0.1390 0.1942 [2025-03-11 02:26:34,688 INFO hook.py line 689 2389709] light switch : 0.0422 0.4503 [2025-03-11 02:26:34,688 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 02:26:34,688 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 02:26:34,688 INFO hook.py line 689 2389709] decoration : 0.1183 0.6298 [2025-03-11 02:26:34,688 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 02:26:34,688 INFO hook.py line 689 2389709] projector : 0.0508 0.9949 [2025-03-11 02:26:34,688 INFO hook.py line 689 2389709] closet door : 0.0523 0.0652 [2025-03-11 02:26:34,689 INFO hook.py line 689 2389709] vacuum cleaner : 0.7378 0.9715 [2025-03-11 02:26:34,689 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 02:26:34,689 INFO hook.py line 689 2389709] plunger : 0.2294 0.9968 [2025-03-11 02:26:34,689 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 02:26:34,689 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 02:26:34,689 INFO hook.py line 689 2389709] dish rack : 0.3014 0.4411 [2025-03-11 02:26:34,689 INFO hook.py line 689 2389709] broom : 0.0276 0.0461 [2025-03-11 02:26:34,689 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 02:26:34,689 INFO hook.py line 689 2389709] range hood : 0.4356 0.9371 [2025-03-11 02:26:34,689 INFO hook.py line 689 2389709] dustpan : 0.1262 0.2248 [2025-03-11 02:26:34,689 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 02:26:34,689 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 02:26:34,690 INFO hook.py line 689 2389709] handicap bar : 0.0075 0.0578 [2025-03-11 02:26:34,690 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 02:26:34,690 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 02:26:34,690 INFO hook.py line 689 2389709] shower floor : 0.5611 0.9928 [2025-03-11 02:26:34,690 INFO hook.py line 689 2389709] water pitcher : 0.0033 0.0056 [2025-03-11 02:26:34,690 INFO hook.py line 689 2389709] mailbox : 0.1998 0.2046 [2025-03-11 02:26:34,690 INFO hook.py line 689 2389709] bowl : 0.0346 0.0405 [2025-03-11 02:26:34,690 INFO hook.py line 689 2389709] paper bag : 0.0003 0.0006 [2025-03-11 02:26:34,690 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 02:26:34,690 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 02:26:34,690 INFO hook.py line 689 2389709] projector screen: 0.0024 0.0025 [2025-03-11 02:26:34,691 INFO hook.py line 689 2389709] divider : 0.4909 0.5254 [2025-03-11 02:26:34,691 INFO hook.py line 689 2389709] laundry detergent: 0.0589 0.0598 [2025-03-11 02:26:34,691 INFO hook.py line 689 2389709] bathroom counter: 0.1552 0.1594 [2025-03-11 02:26:34,691 INFO hook.py line 689 2389709] object : 0.0453 0.0863 [2025-03-11 02:26:34,691 INFO hook.py line 689 2389709] bathroom vanity: 0.5256 0.7262 [2025-03-11 02:26:34,691 INFO hook.py line 689 2389709] closet wall : 0.0675 0.1379 [2025-03-11 02:26:34,691 INFO hook.py line 689 2389709] laundry hamper : 0.1021 0.1799 [2025-03-11 02:26:34,691 INFO hook.py line 689 2389709] bathroom stall door: 0.5524 0.6220 [2025-03-11 02:26:34,691 INFO hook.py line 689 2389709] ceiling light : 0.2288 0.4677 [2025-03-11 02:26:34,691 INFO hook.py line 689 2389709] trash bin : 0.3559 0.4490 [2025-03-11 02:26:34,691 INFO hook.py line 689 2389709] dumbbell : 0.0768 0.9905 [2025-03-11 02:26:34,691 INFO hook.py line 689 2389709] stair rail : 0.0403 0.0441 [2025-03-11 02:26:34,692 INFO hook.py line 689 2389709] tube : 0.0227 0.0532 [2025-03-11 02:26:34,692 INFO hook.py line 689 2389709] bathroom cabinet: 0.3273 0.3741 [2025-03-11 02:26:34,692 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 02:26:34,692 INFO hook.py line 689 2389709] closet rod : 0.1116 0.8819 [2025-03-11 02:26:34,692 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 02:26:34,692 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 02:26:34,692 INFO hook.py line 689 2389709] shower head : 0.1042 0.3739 [2025-03-11 02:26:34,692 INFO hook.py line 689 2389709] keyboard piano : 0.0062 0.0087 [2025-03-11 02:26:34,692 INFO hook.py line 689 2389709] case of water bottles: 0.1285 0.1449 [2025-03-11 02:26:34,692 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 02:26:34,693 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 02:26:34,693 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 02:26:34,693 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 02:26:34,693 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 02:26:34,693 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 02:26:34,693 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 02:26:34,693 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 02:26:34,693 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 02:26:34,693 INFO hook.py line 689 2389709] mattress : 0.0745 0.0815 [2025-03-11 02:26:34,693 INFO hook.py line 690 2389709] ######################################## [2025-03-11 02:26:34,693 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2560/0.3820/0.7979. [2025-03-11 02:26:34,694 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 02:26:34,714 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2745 [2025-03-11 02:26:34,715 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 02:27:04,479 INFO hook.py line 566 2389709] Train: [24/100][50/300] Data 0.002 (0.003) Batch 0.539 (0.486) Remain 03:06:47 loss: 0.9934 Lr: 4.56231e-03 [2025-03-11 02:27:29,655 INFO hook.py line 566 2389709] Train: [24/100][100/300] Data 0.002 (0.002) Batch 0.536 (0.495) Remain 03:09:48 loss: 1.1560 Lr: 4.55449e-03 [2025-03-11 02:27:54,537 INFO hook.py line 566 2389709] Train: [24/100][150/300] Data 0.002 (0.002) Batch 0.551 (0.496) Remain 03:09:43 loss: 0.9919 Lr: 4.54661e-03 [2025-03-11 02:28:19,146 INFO hook.py line 566 2389709] Train: [24/100][200/300] Data 0.002 (0.002) Batch 0.567 (0.495) Remain 03:08:56 loss: 0.8934 Lr: 4.53866e-03 [2025-03-11 02:28:44,091 INFO hook.py line 566 2389709] Train: [24/100][250/300] Data 0.001 (0.002) Batch 0.481 (0.496) Remain 03:08:49 loss: 0.8659 Lr: 4.53066e-03 [2025-03-11 02:29:08,291 INFO hook.py line 566 2389709] Train: [24/100][300/300] Data 0.002 (0.002) Batch 0.491 (0.494) Remain 03:07:39 loss: 0.6529 Lr: 4.52259e-03 [2025-03-11 02:29:08,292 INFO misc.py line 135 2389709] Train result: loss: 0.9281 [2025-03-11 02:29:08,403 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 02:30:02,284 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5825 [2025-03-11 02:30:02,382 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.1069 [2025-03-11 02:30:02,418 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6770 [2025-03-11 02:30:02,470 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4923 [2025-03-11 02:30:02,504 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0339 [2025-03-11 02:30:02,562 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8653 [2025-03-11 02:30:02,618 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.0893 [2025-03-11 02:30:02,648 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2876 [2025-03-11 02:30:02,698 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3291 [2025-03-11 02:30:02,742 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.0642 [2025-03-11 02:30:02,794 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2309 [2025-03-11 02:30:02,830 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1733 [2025-03-11 02:30:02,884 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.4736 [2025-03-11 02:30:02,931 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.4870 [2025-03-11 02:30:02,972 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.9514 [2025-03-11 02:30:03,022 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1700 [2025-03-11 02:30:03,066 INFO hook.py line 748 2389709] Test: [17/78] Loss 0.8902 [2025-03-11 02:30:03,107 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.7565 [2025-03-11 02:30:03,153 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.6262 [2025-03-11 02:30:03,189 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.3148 [2025-03-11 02:30:03,230 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6672 [2025-03-11 02:30:03,274 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9273 [2025-03-11 02:30:03,309 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.2680 [2025-03-11 02:30:03,362 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1397 [2025-03-11 02:30:03,407 INFO hook.py line 748 2389709] Test: [25/78] Loss 2.1458 [2025-03-11 02:30:03,456 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2155 [2025-03-11 02:30:03,510 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6057 [2025-03-11 02:30:03,548 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5913 [2025-03-11 02:30:03,582 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0483 [2025-03-11 02:30:03,643 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.4115 [2025-03-11 02:30:03,703 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.7015 [2025-03-11 02:30:03,746 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2005 [2025-03-11 02:30:03,807 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.1087 [2025-03-11 02:30:03,856 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.8981 [2025-03-11 02:30:03,911 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1647 [2025-03-11 02:30:03,960 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2993 [2025-03-11 02:30:03,999 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.3001 [2025-03-11 02:30:04,044 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8188 [2025-03-11 02:30:04,111 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.0206 [2025-03-11 02:30:04,164 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5762 [2025-03-11 02:30:04,209 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.0799 [2025-03-11 02:30:04,245 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.6584 [2025-03-11 02:30:04,286 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2177 [2025-03-11 02:30:04,354 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9340 [2025-03-11 02:30:04,391 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.6495 [2025-03-11 02:30:04,446 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9279 [2025-03-11 02:30:04,487 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8816 [2025-03-11 02:30:04,532 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1133 [2025-03-11 02:30:04,572 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.1793 [2025-03-11 02:30:04,615 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.7248 [2025-03-11 02:30:04,647 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9409 [2025-03-11 02:30:04,687 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6158 [2025-03-11 02:30:04,725 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2439 [2025-03-11 02:30:04,781 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8710 [2025-03-11 02:30:04,823 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.1355 [2025-03-11 02:30:04,864 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.1297 [2025-03-11 02:30:04,903 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.9342 [2025-03-11 02:30:04,933 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2543 [2025-03-11 02:30:04,975 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8026 [2025-03-11 02:30:05,011 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5031 [2025-03-11 02:30:05,039 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9371 [2025-03-11 02:30:05,074 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0044 [2025-03-11 02:30:05,116 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.8321 [2025-03-11 02:30:05,173 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7093 [2025-03-11 02:30:05,201 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2970 [2025-03-11 02:30:05,249 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.8344 [2025-03-11 02:30:05,293 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1974 [2025-03-11 02:30:05,334 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0688 [2025-03-11 02:30:05,371 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4174 [2025-03-11 02:30:05,439 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.6570 [2025-03-11 02:30:05,482 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.4147 [2025-03-11 02:30:05,536 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5612 [2025-03-11 02:30:05,589 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5865 [2025-03-11 02:30:05,636 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.9294 [2025-03-11 02:30:05,688 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.9158 [2025-03-11 02:30:05,727 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.5641 [2025-03-11 02:30:05,786 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5886 [2025-03-11 02:30:05,812 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9955 [2025-03-11 02:30:07,093 INFO hook.py line 674 2389709] ######################################## [2025-03-11 02:30:07,093 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 02:30:07,093 INFO hook.py line 680 2389709] ######################################## [2025-03-11 02:30:07,093 INFO hook.py line 689 2389709] wall : 0.7653 0.8875 [2025-03-11 02:30:07,093 INFO hook.py line 689 2389709] chair : 0.7453 0.9261 [2025-03-11 02:30:07,093 INFO hook.py line 689 2389709] floor : 0.9550 0.9811 [2025-03-11 02:30:07,093 INFO hook.py line 689 2389709] table : 0.5892 0.7537 [2025-03-11 02:30:07,094 INFO hook.py line 689 2389709] door : 0.5877 0.6596 [2025-03-11 02:30:07,094 INFO hook.py line 689 2389709] couch : 0.7500 0.8782 [2025-03-11 02:30:07,094 INFO hook.py line 689 2389709] cabinet : 0.2885 0.4237 [2025-03-11 02:30:07,094 INFO hook.py line 689 2389709] shelf : 0.3178 0.3992 [2025-03-11 02:30:07,094 INFO hook.py line 689 2389709] desk : 0.5472 0.7924 [2025-03-11 02:30:07,094 INFO hook.py line 689 2389709] office chair : 0.0001 0.0001 [2025-03-11 02:30:07,094 INFO hook.py line 689 2389709] bed : 0.7908 0.9089 [2025-03-11 02:30:07,094 INFO hook.py line 689 2389709] pillow : 0.5208 0.6575 [2025-03-11 02:30:07,094 INFO hook.py line 689 2389709] sink : 0.6144 0.7122 [2025-03-11 02:30:07,094 INFO hook.py line 689 2389709] picture : 0.3432 0.4564 [2025-03-11 02:30:07,095 INFO hook.py line 689 2389709] window : 0.5003 0.8033 [2025-03-11 02:30:07,095 INFO hook.py line 689 2389709] toilet : 0.8545 0.9459 [2025-03-11 02:30:07,095 INFO hook.py line 689 2389709] bookshelf : 0.4161 0.6589 [2025-03-11 02:30:07,095 INFO hook.py line 689 2389709] monitor : 0.7777 0.9304 [2025-03-11 02:30:07,095 INFO hook.py line 689 2389709] curtain : 0.6222 0.8142 [2025-03-11 02:30:07,095 INFO hook.py line 689 2389709] book : 0.3970 0.7546 [2025-03-11 02:30:07,095 INFO hook.py line 689 2389709] armchair : 0.3933 0.4522 [2025-03-11 02:30:07,095 INFO hook.py line 689 2389709] coffee table : 0.5833 0.6948 [2025-03-11 02:30:07,095 INFO hook.py line 689 2389709] box : 0.2909 0.3551 [2025-03-11 02:30:07,095 INFO hook.py line 689 2389709] refrigerator : 0.5465 0.5695 [2025-03-11 02:30:07,095 INFO hook.py line 689 2389709] lamp : 0.6682 0.7617 [2025-03-11 02:30:07,096 INFO hook.py line 689 2389709] kitchen cabinet: 0.6879 0.8448 [2025-03-11 02:30:07,096 INFO hook.py line 689 2389709] towel : 0.4409 0.5881 [2025-03-11 02:30:07,096 INFO hook.py line 689 2389709] clothes : 0.1755 0.3483 [2025-03-11 02:30:07,096 INFO hook.py line 689 2389709] tv : 0.7372 0.7813 [2025-03-11 02:30:07,096 INFO hook.py line 689 2389709] nightstand : 0.6822 0.8532 [2025-03-11 02:30:07,096 INFO hook.py line 689 2389709] counter : 0.2343 0.3109 [2025-03-11 02:30:07,096 INFO hook.py line 689 2389709] dresser : 0.3229 0.4334 [2025-03-11 02:30:07,096 INFO hook.py line 689 2389709] stool : 0.5127 0.7011 [2025-03-11 02:30:07,096 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 02:30:07,096 INFO hook.py line 689 2389709] plant : 0.6018 0.8990 [2025-03-11 02:30:07,096 INFO hook.py line 689 2389709] ceiling : 0.9195 0.9586 [2025-03-11 02:30:07,096 INFO hook.py line 689 2389709] bathtub : 0.8340 0.9311 [2025-03-11 02:30:07,097 INFO hook.py line 689 2389709] end table : 0.1940 0.6584 [2025-03-11 02:30:07,097 INFO hook.py line 689 2389709] dining table : 0.0221 0.0320 [2025-03-11 02:30:07,097 INFO hook.py line 689 2389709] keyboard : 0.3796 0.5898 [2025-03-11 02:30:07,097 INFO hook.py line 689 2389709] bag : 0.1418 0.2763 [2025-03-11 02:30:07,097 INFO hook.py line 689 2389709] backpack : 0.5216 0.5591 [2025-03-11 02:30:07,097 INFO hook.py line 689 2389709] toilet paper : 0.3901 0.5009 [2025-03-11 02:30:07,097 INFO hook.py line 689 2389709] printer : 0.4354 0.5490 [2025-03-11 02:30:07,097 INFO hook.py line 689 2389709] tv stand : 0.6270 0.8454 [2025-03-11 02:30:07,097 INFO hook.py line 689 2389709] whiteboard : 0.4840 0.6816 [2025-03-11 02:30:07,097 INFO hook.py line 689 2389709] blanket : 0.0122 0.0127 [2025-03-11 02:30:07,097 INFO hook.py line 689 2389709] shower curtain : 0.6768 0.7787 [2025-03-11 02:30:07,098 INFO hook.py line 689 2389709] trash can : 0.5873 0.7741 [2025-03-11 02:30:07,098 INFO hook.py line 689 2389709] closet : 0.0994 0.1245 [2025-03-11 02:30:07,098 INFO hook.py line 689 2389709] stairs : 0.3508 0.4366 [2025-03-11 02:30:07,098 INFO hook.py line 689 2389709] microwave : 0.4997 0.6831 [2025-03-11 02:30:07,098 INFO hook.py line 689 2389709] stove : 0.6133 0.8912 [2025-03-11 02:30:07,098 INFO hook.py line 689 2389709] shoe : 0.4211 0.5056 [2025-03-11 02:30:07,098 INFO hook.py line 689 2389709] computer tower : 0.6379 0.7730 [2025-03-11 02:30:07,098 INFO hook.py line 689 2389709] bottle : 0.1292 0.2187 [2025-03-11 02:30:07,098 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 02:30:07,098 INFO hook.py line 689 2389709] ottoman : 0.2394 0.4487 [2025-03-11 02:30:07,099 INFO hook.py line 689 2389709] bench : 0.2074 0.2456 [2025-03-11 02:30:07,099 INFO hook.py line 689 2389709] board : 0.1701 0.2297 [2025-03-11 02:30:07,099 INFO hook.py line 689 2389709] washing machine: 0.6762 0.8111 [2025-03-11 02:30:07,099 INFO hook.py line 689 2389709] mirror : 0.2745 0.4553 [2025-03-11 02:30:07,099 INFO hook.py line 689 2389709] copier : 0.7376 0.8082 [2025-03-11 02:30:07,099 INFO hook.py line 689 2389709] basket : 0.0032 0.0087 [2025-03-11 02:30:07,099 INFO hook.py line 689 2389709] sofa chair : 0.1517 0.5167 [2025-03-11 02:30:07,099 INFO hook.py line 689 2389709] file cabinet : 0.4533 0.5269 [2025-03-11 02:30:07,099 INFO hook.py line 689 2389709] fan : 0.2145 0.3027 [2025-03-11 02:30:07,099 INFO hook.py line 689 2389709] laptop : 0.4387 0.5246 [2025-03-11 02:30:07,099 INFO hook.py line 689 2389709] shower : 0.1344 0.1390 [2025-03-11 02:30:07,100 INFO hook.py line 689 2389709] paper : 0.0008 0.0008 [2025-03-11 02:30:07,100 INFO hook.py line 689 2389709] person : 0.2205 0.5619 [2025-03-11 02:30:07,100 INFO hook.py line 689 2389709] paper towel dispenser: 0.5533 0.6163 [2025-03-11 02:30:07,100 INFO hook.py line 689 2389709] oven : 0.0536 0.0874 [2025-03-11 02:30:07,100 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 02:30:07,100 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 02:30:07,100 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 02:30:07,100 INFO hook.py line 689 2389709] blackboard : 0.5176 0.6194 [2025-03-11 02:30:07,100 INFO hook.py line 689 2389709] piano : 0.3100 0.4352 [2025-03-11 02:30:07,100 INFO hook.py line 689 2389709] suitcase : 0.5599 0.7343 [2025-03-11 02:30:07,100 INFO hook.py line 689 2389709] rail : 0.0190 0.0195 [2025-03-11 02:30:07,101 INFO hook.py line 689 2389709] radiator : 0.4921 0.6673 [2025-03-11 02:30:07,101 INFO hook.py line 689 2389709] recycling bin : 0.3931 0.5721 [2025-03-11 02:30:07,101 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 02:30:07,101 INFO hook.py line 689 2389709] wardrobe : 0.1295 0.1393 [2025-03-11 02:30:07,101 INFO hook.py line 689 2389709] soap dispenser : 0.7641 0.8976 [2025-03-11 02:30:07,101 INFO hook.py line 689 2389709] telephone : 0.3044 0.3853 [2025-03-11 02:30:07,101 INFO hook.py line 689 2389709] bucket : 0.3592 0.6181 [2025-03-11 02:30:07,101 INFO hook.py line 689 2389709] clock : 0.1978 0.2393 [2025-03-11 02:30:07,101 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 02:30:07,101 INFO hook.py line 689 2389709] light : 0.0039 0.0049 [2025-03-11 02:30:07,101 INFO hook.py line 689 2389709] laundry basket : 0.0141 0.0153 [2025-03-11 02:30:07,102 INFO hook.py line 689 2389709] pipe : 0.1342 0.2055 [2025-03-11 02:30:07,102 INFO hook.py line 689 2389709] clothes dryer : 0.2572 0.2692 [2025-03-11 02:30:07,102 INFO hook.py line 689 2389709] guitar : 0.1234 0.2510 [2025-03-11 02:30:07,102 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 02:30:07,102 INFO hook.py line 689 2389709] seat : 0.0006 0.0007 [2025-03-11 02:30:07,102 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 02:30:07,102 INFO hook.py line 689 2389709] column : 0.0790 0.3275 [2025-03-11 02:30:07,102 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 02:30:07,102 INFO hook.py line 689 2389709] ladder : 0.4763 0.5077 [2025-03-11 02:30:07,102 INFO hook.py line 689 2389709] bathroom stall : 0.4693 0.7004 [2025-03-11 02:30:07,102 INFO hook.py line 689 2389709] shower wall : 0.4896 0.6565 [2025-03-11 02:30:07,102 INFO hook.py line 689 2389709] cup : 0.1638 0.5317 [2025-03-11 02:30:07,103 INFO hook.py line 689 2389709] jacket : 0.0432 0.0445 [2025-03-11 02:30:07,103 INFO hook.py line 689 2389709] storage bin : 0.0148 0.0169 [2025-03-11 02:30:07,103 INFO hook.py line 689 2389709] coffee maker : 0.7018 0.9851 [2025-03-11 02:30:07,103 INFO hook.py line 689 2389709] dishwasher : 0.1934 0.2718 [2025-03-11 02:30:07,103 INFO hook.py line 689 2389709] paper towel roll: 0.3528 0.4627 [2025-03-11 02:30:07,103 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 02:30:07,103 INFO hook.py line 689 2389709] mat : 0.1110 0.1214 [2025-03-11 02:30:07,103 INFO hook.py line 689 2389709] windowsill : 0.1468 0.1745 [2025-03-11 02:30:07,103 INFO hook.py line 689 2389709] bar : 0.1499 0.1643 [2025-03-11 02:30:07,103 INFO hook.py line 689 2389709] toaster : 0.0032 0.0037 [2025-03-11 02:30:07,103 INFO hook.py line 689 2389709] bulletin board : 0.1723 0.5243 [2025-03-11 02:30:07,104 INFO hook.py line 689 2389709] ironing board : 0.1043 0.1107 [2025-03-11 02:30:07,104 INFO hook.py line 689 2389709] fireplace : 0.5951 0.6610 [2025-03-11 02:30:07,104 INFO hook.py line 689 2389709] soap dish : 0.3840 0.5017 [2025-03-11 02:30:07,104 INFO hook.py line 689 2389709] kitchen counter: 0.5422 0.7834 [2025-03-11 02:30:07,104 INFO hook.py line 689 2389709] doorframe : 0.3922 0.5389 [2025-03-11 02:30:07,104 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3437 0.4235 [2025-03-11 02:30:07,104 INFO hook.py line 689 2389709] mini fridge : 0.2472 0.2545 [2025-03-11 02:30:07,104 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 02:30:07,104 INFO hook.py line 689 2389709] ball : 0.4026 0.9565 [2025-03-11 02:30:07,104 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 02:30:07,104 INFO hook.py line 689 2389709] shower curtain rod: 0.4034 0.8097 [2025-03-11 02:30:07,105 INFO hook.py line 689 2389709] water cooler : 0.2665 0.2705 [2025-03-11 02:30:07,105 INFO hook.py line 689 2389709] paper cutter : 0.1609 0.1746 [2025-03-11 02:30:07,105 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 [2025-03-11 02:30:07,105 INFO hook.py line 689 2389709] shower door : 0.0945 0.1169 [2025-03-11 02:30:07,105 INFO hook.py line 689 2389709] pillar : 0.0013 0.0013 [2025-03-11 02:30:07,105 INFO hook.py line 689 2389709] ledge : 0.0290 0.0406 [2025-03-11 02:30:07,105 INFO hook.py line 689 2389709] toaster oven : 0.0367 0.0370 [2025-03-11 02:30:07,105 INFO hook.py line 689 2389709] mouse : 0.0752 0.3200 [2025-03-11 02:30:07,105 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5814 0.8335 [2025-03-11 02:30:07,105 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 02:30:07,105 INFO hook.py line 689 2389709] cart : 0.0221 0.0227 [2025-03-11 02:30:07,105 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 02:30:07,106 INFO hook.py line 689 2389709] scale : 0.1190 0.7333 [2025-03-11 02:30:07,106 INFO hook.py line 689 2389709] tissue box : 0.0607 0.0773 [2025-03-11 02:30:07,106 INFO hook.py line 689 2389709] light switch : 0.0257 0.0559 [2025-03-11 02:30:07,106 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 02:30:07,106 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 02:30:07,106 INFO hook.py line 689 2389709] decoration : 0.0952 0.5027 [2025-03-11 02:30:07,106 INFO hook.py line 689 2389709] sign : 0.0096 0.0112 [2025-03-11 02:30:07,106 INFO hook.py line 689 2389709] projector : 0.1275 0.4221 [2025-03-11 02:30:07,106 INFO hook.py line 689 2389709] closet door : 0.0623 0.0724 [2025-03-11 02:30:07,106 INFO hook.py line 689 2389709] vacuum cleaner : 0.9132 0.9704 [2025-03-11 02:30:07,106 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 02:30:07,107 INFO hook.py line 689 2389709] plunger : 0.3161 0.9842 [2025-03-11 02:30:07,107 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 02:30:07,107 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 02:30:07,107 INFO hook.py line 689 2389709] dish rack : 0.5517 0.6226 [2025-03-11 02:30:07,108 INFO hook.py line 689 2389709] broom : 0.0045 0.0046 [2025-03-11 02:30:07,108 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 02:30:07,108 INFO hook.py line 689 2389709] range hood : 0.7068 0.8105 [2025-03-11 02:30:07,108 INFO hook.py line 689 2389709] dustpan : 0.0206 0.0288 [2025-03-11 02:30:07,108 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 02:30:07,108 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 02:30:07,108 INFO hook.py line 689 2389709] handicap bar : 0.0467 0.6243 [2025-03-11 02:30:07,108 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 02:30:07,108 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 02:30:07,109 INFO hook.py line 689 2389709] shower floor : 0.4702 0.8698 [2025-03-11 02:30:07,109 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 02:30:07,109 INFO hook.py line 689 2389709] mailbox : 0.1440 0.1456 [2025-03-11 02:30:07,109 INFO hook.py line 689 2389709] bowl : 0.1468 0.2398 [2025-03-11 02:30:07,109 INFO hook.py line 689 2389709] paper bag : 0.0109 0.0124 [2025-03-11 02:30:07,109 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 02:30:07,109 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 02:30:07,109 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 02:30:07,109 INFO hook.py line 689 2389709] divider : 0.3887 0.4249 [2025-03-11 02:30:07,109 INFO hook.py line 689 2389709] laundry detergent: 0.0396 0.0401 [2025-03-11 02:30:07,109 INFO hook.py line 689 2389709] bathroom counter: 0.2293 0.4020 [2025-03-11 02:30:07,109 INFO hook.py line 689 2389709] object : 0.0283 0.0675 [2025-03-11 02:30:07,110 INFO hook.py line 689 2389709] bathroom vanity: 0.3890 0.6590 [2025-03-11 02:30:07,110 INFO hook.py line 689 2389709] closet wall : 0.0287 0.0343 [2025-03-11 02:30:07,110 INFO hook.py line 689 2389709] laundry hamper : 0.0243 0.0294 [2025-03-11 02:30:07,110 INFO hook.py line 689 2389709] bathroom stall door: 0.3964 0.4526 [2025-03-11 02:30:07,110 INFO hook.py line 689 2389709] ceiling light : 0.1965 0.2196 [2025-03-11 02:30:07,110 INFO hook.py line 689 2389709] trash bin : 0.2453 0.3040 [2025-03-11 02:30:07,110 INFO hook.py line 689 2389709] dumbbell : 0.2678 0.6708 [2025-03-11 02:30:07,110 INFO hook.py line 689 2389709] stair rail : 0.0004 0.0004 [2025-03-11 02:30:07,110 INFO hook.py line 689 2389709] tube : 0.0356 0.0680 [2025-03-11 02:30:07,110 INFO hook.py line 689 2389709] bathroom cabinet: 0.1653 0.3113 [2025-03-11 02:30:07,110 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 02:30:07,111 INFO hook.py line 689 2389709] closet rod : 0.7223 0.8123 [2025-03-11 02:30:07,111 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 02:30:07,111 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 02:30:07,111 INFO hook.py line 689 2389709] shower head : 0.2856 0.2963 [2025-03-11 02:30:07,111 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 02:30:07,111 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 02:30:07,111 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 02:30:07,111 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 02:30:07,111 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 02:30:07,111 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 02:30:07,112 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 02:30:07,112 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 02:30:07,112 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 02:30:07,112 INFO hook.py line 689 2389709] potted plant : 0.0002 0.0009 [2025-03-11 02:30:07,112 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 02:30:07,112 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 [2025-03-11 02:30:07,112 INFO hook.py line 690 2389709] ######################################## [2025-03-11 02:30:07,112 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2594/0.3570/0.7945. [2025-03-11 02:30:07,113 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 02:30:07,133 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2745 [2025-03-11 02:30:07,133 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 02:30:37,771 INFO hook.py line 566 2389709] Train: [25/100][50/300] Data 0.003 (0.002) Batch 0.472 (0.486) Remain 03:04:13 loss: 1.1757 Lr: 4.51446e-03 [2025-03-11 02:31:02,325 INFO hook.py line 566 2389709] Train: [25/100][100/300] Data 0.002 (0.002) Batch 0.590 (0.489) Remain 03:04:49 loss: 0.9843 Lr: 4.50627e-03 [2025-03-11 02:31:27,060 INFO hook.py line 566 2389709] Train: [25/100][150/300] Data 0.002 (0.002) Batch 0.521 (0.491) Remain 03:05:13 loss: 0.9660 Lr: 4.49802e-03 [2025-03-11 02:31:51,347 INFO hook.py line 566 2389709] Train: [25/100][200/300] Data 0.002 (0.002) Batch 0.436 (0.489) Remain 03:04:20 loss: 0.7835 Lr: 4.48971e-03 [2025-03-11 02:32:15,827 INFO hook.py line 566 2389709] Train: [25/100][250/300] Data 0.003 (0.002) Batch 0.494 (0.489) Remain 03:03:56 loss: 1.0104 Lr: 4.48134e-03 [2025-03-11 02:32:39,732 INFO hook.py line 566 2389709] Train: [25/100][300/300] Data 0.002 (0.002) Batch 0.449 (0.488) Remain 03:02:49 loss: 0.8460 Lr: 4.47290e-03 [2025-03-11 02:32:39,732 INFO misc.py line 135 2389709] Train result: loss: 0.9621 [2025-03-11 02:32:39,820 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 02:33:33,024 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4864 [2025-03-11 02:33:33,076 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.4833 [2025-03-11 02:33:33,122 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6054 [2025-03-11 02:33:33,171 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4865 [2025-03-11 02:33:33,214 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0097 [2025-03-11 02:33:33,274 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8730 [2025-03-11 02:33:33,326 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8422 [2025-03-11 02:33:33,353 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2845 [2025-03-11 02:33:33,399 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.4372 [2025-03-11 02:33:33,437 INFO hook.py line 748 2389709] Test: [10/78] Loss 0.8654 [2025-03-11 02:33:33,489 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2948 [2025-03-11 02:33:33,537 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.9530 [2025-03-11 02:33:33,585 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.5890 [2025-03-11 02:33:33,624 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.1189 [2025-03-11 02:33:33,660 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0926 [2025-03-11 02:33:33,710 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.4523 [2025-03-11 02:33:33,754 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1336 [2025-03-11 02:33:33,791 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8075 [2025-03-11 02:33:33,835 INFO hook.py line 748 2389709] Test: [19/78] Loss 1.7424 [2025-03-11 02:33:33,876 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5433 [2025-03-11 02:33:33,911 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.5732 [2025-03-11 02:33:33,964 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6869 [2025-03-11 02:33:33,996 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3227 [2025-03-11 02:33:34,045 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9782 [2025-03-11 02:33:34,100 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4125 [2025-03-11 02:33:34,147 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1399 [2025-03-11 02:33:34,204 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.5423 [2025-03-11 02:33:34,244 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.9082 [2025-03-11 02:33:34,293 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.8494 [2025-03-11 02:33:34,361 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.3859 [2025-03-11 02:33:34,419 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6459 [2025-03-11 02:33:34,456 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2149 [2025-03-11 02:33:34,517 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.9312 [2025-03-11 02:33:34,559 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.5737 [2025-03-11 02:33:34,599 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2705 [2025-03-11 02:33:34,644 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4108 [2025-03-11 02:33:34,688 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.6903 [2025-03-11 02:33:34,723 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8380 [2025-03-11 02:33:34,791 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.6471 [2025-03-11 02:33:34,840 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6796 [2025-03-11 02:33:34,885 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2394 [2025-03-11 02:33:34,917 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4475 [2025-03-11 02:33:34,954 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.9694 [2025-03-11 02:33:35,027 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8978 [2025-03-11 02:33:35,060 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.8627 [2025-03-11 02:33:35,113 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0845 [2025-03-11 02:33:35,154 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.4586 [2025-03-11 02:33:35,199 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.4395 [2025-03-11 02:33:35,234 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.5123 [2025-03-11 02:33:35,267 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.7563 [2025-03-11 02:33:35,298 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.7162 [2025-03-11 02:33:35,338 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5095 [2025-03-11 02:33:35,365 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3540 [2025-03-11 02:33:35,404 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.9847 [2025-03-11 02:33:35,442 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3573 [2025-03-11 02:33:35,487 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.1310 [2025-03-11 02:33:35,525 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.6443 [2025-03-11 02:33:35,552 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1447 [2025-03-11 02:33:35,594 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7399 [2025-03-11 02:33:35,630 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4968 [2025-03-11 02:33:35,657 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9852 [2025-03-11 02:33:35,692 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9900 [2025-03-11 02:33:35,733 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.5616 [2025-03-11 02:33:35,794 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8521 [2025-03-11 02:33:35,822 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1255 [2025-03-11 02:33:35,866 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.3879 [2025-03-11 02:33:35,908 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9892 [2025-03-11 02:33:35,944 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0180 [2025-03-11 02:33:35,974 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4162 [2025-03-11 02:33:36,035 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7048 [2025-03-11 02:33:36,082 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.2567 [2025-03-11 02:33:36,136 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6188 [2025-03-11 02:33:36,190 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7511 [2025-03-11 02:33:36,233 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.2199 [2025-03-11 02:33:36,285 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6371 [2025-03-11 02:33:36,315 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7094 [2025-03-11 02:33:36,373 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7592 [2025-03-11 02:33:36,404 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8971 [2025-03-11 02:33:37,691 INFO hook.py line 674 2389709] ######################################## [2025-03-11 02:33:37,691 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 02:33:37,691 INFO hook.py line 680 2389709] ######################################## [2025-03-11 02:33:37,691 INFO hook.py line 689 2389709] wall : 0.7714 0.9027 [2025-03-11 02:33:37,691 INFO hook.py line 689 2389709] chair : 0.7520 0.9000 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] floor : 0.9564 0.9793 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] table : 0.6310 0.7791 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] door : 0.6247 0.8194 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] couch : 0.7528 0.9419 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] cabinet : 0.2948 0.4569 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] shelf : 0.4504 0.6530 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] desk : 0.5615 0.8057 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] office chair : 0.0463 0.0498 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] bed : 0.7762 0.8345 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] pillow : 0.4880 0.6864 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] sink : 0.6186 0.7065 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] picture : 0.3194 0.4346 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] window : 0.5239 0.6101 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] toilet : 0.8819 0.9528 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] bookshelf : 0.4570 0.5612 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] monitor : 0.8615 0.9163 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] curtain : 0.6798 0.8014 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] book : 0.4427 0.6654 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] armchair : 0.5133 0.6423 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] coffee table : 0.7163 0.8524 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] box : 0.2786 0.3687 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] refrigerator : 0.6225 0.7348 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] lamp : 0.6316 0.7804 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] kitchen cabinet: 0.6210 0.8380 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] towel : 0.3333 0.6777 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] clothes : 0.2351 0.3889 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] tv : 0.8464 0.8768 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] nightstand : 0.6944 0.7755 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] counter : 0.2693 0.4299 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] dresser : 0.2674 0.3286 [2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] stool : 0.5152 0.6424 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] plant : 0.7429 0.8054 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] ceiling : 0.9156 0.9615 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] bathtub : 0.8307 0.8978 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] end table : 0.1562 0.2279 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] dining table : 0.0258 0.0285 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] keyboard : 0.4236 0.5379 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] bag : 0.1472 0.1883 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] backpack : 0.5424 0.7286 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] toilet paper : 0.4290 0.5362 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] printer : 0.4531 0.7091 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] tv stand : 0.3603 0.3617 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] whiteboard : 0.4221 0.4933 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] blanket : 0.0700 0.0926 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] shower curtain : 0.6410 0.7921 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] trash can : 0.6132 0.7673 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] closet : 0.1014 0.1427 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] stairs : 0.5907 0.6473 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] microwave : 0.4763 0.7478 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] stove : 0.5963 0.8678 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] shoe : 0.4333 0.5486 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] computer tower : 0.5636 0.8222 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] bottle : 0.1129 0.1799 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] ottoman : 0.4982 0.6197 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] bench : 0.2377 0.2793 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] board : 0.1868 0.3639 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] washing machine: 0.6772 0.7276 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] mirror : 0.3572 0.4345 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] copier : 0.7970 0.9151 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] sofa chair : 0.1749 0.2719 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] file cabinet : 0.3956 0.8184 [2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] fan : 0.3286 0.3514 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] laptop : 0.4662 0.6381 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] shower : 0.2893 0.3360 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] paper : 0.1016 0.1481 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] person : 0.1938 0.3566 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] paper towel dispenser: 0.4536 0.9465 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] oven : 0.0696 0.0745 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] blinds : 0.0248 0.0260 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] blackboard : 0.5804 0.6276 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] piano : 0.4112 0.4636 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] suitcase : 0.5661 0.7313 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] rail : 0.0108 0.0112 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] radiator : 0.6020 0.6802 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] recycling bin : 0.5037 0.6186 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] container : 0.0009 0.0009 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] wardrobe : 0.1421 0.3238 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] soap dispenser : 0.8051 0.8278 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] telephone : 0.2959 0.3771 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] bucket : 0.3014 0.5871 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] clock : 0.1661 0.2634 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] light : 0.1679 0.1872 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] laundry basket : 0.0331 0.0378 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] pipe : 0.0492 0.1639 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] clothes dryer : 0.5143 0.6476 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] guitar : 0.2205 0.2847 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] toilet paper holder: 0.0021 0.0039 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] column : 0.0534 0.1274 [2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] ladder : 0.4969 0.6606 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] bathroom stall : 0.3690 0.4468 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] shower wall : 0.5050 0.6490 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] cup : 0.1635 0.3406 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] jacket : 0.1188 0.2073 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] coffee maker : 0.7863 0.9559 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] dishwasher : 0.2274 0.6980 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] paper towel roll: 0.2020 0.2820 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] mat : 0.0553 0.0579 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] windowsill : 0.1154 0.1185 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] bar : 0.1542 0.2530 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] toaster : 0.0389 0.2801 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] bulletin board : 0.1331 0.7048 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] ironing board : 0.0730 0.0882 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] fireplace : 0.0686 0.0691 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] soap dish : 0.3808 0.5273 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] kitchen counter: 0.5634 0.7261 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] doorframe : 0.3259 0.6957 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4075 0.5217 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] mini fridge : 0.2383 0.2482 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] fire extinguisher: 0.0578 0.0711 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] ball : 0.7310 0.9058 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] shower curtain rod: 0.3602 0.8195 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] water cooler : 0.5243 0.5252 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] paper cutter : 0.1798 0.2278 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] tray : 0.0088 0.0127 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] shower door : 0.1033 0.1410 [2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] pillar : 0.0309 0.0351 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] ledge : 0.0290 0.0342 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] toaster oven : 0.0325 0.0338 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] mouse : 0.0545 0.2124 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6619 0.7677 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] cart : 0.0405 0.0419 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] scale : 0.1194 0.9539 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] tissue box : 0.1142 0.1376 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] light switch : 0.0336 0.3938 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] power outlet : 0.0080 0.0081 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] decoration : 0.2057 0.2913 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] sign : 0.0155 0.0518 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] projector : 0.1076 0.9897 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] closet door : 0.0875 0.1185 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] vacuum cleaner : 0.8370 0.9637 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] plunger : 0.3947 0.9937 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] dish rack : 0.7854 0.8773 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] broom : 0.0274 0.0384 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] range hood : 0.7134 0.8745 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] dustpan : 0.0648 0.1543 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] hair dryer : 0.0005 0.0020 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] handicap bar : 0.0480 0.8846 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] shower floor : 0.6228 0.9822 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] mailbox : 0.2054 0.2124 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] bowl : 0.0171 0.0213 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] paper bag : 0.0499 0.1895 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] projector screen: 0.0433 0.0823 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] divider : 0.4399 0.4772 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] bathroom counter: 0.2455 0.3345 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] object : 0.0447 0.1068 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] bathroom vanity: 0.4537 0.8477 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] closet wall : 0.0944 0.1633 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] laundry hamper : 0.1342 0.2269 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] bathroom stall door: 0.4206 0.7533 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] ceiling light : 0.3490 0.6056 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] trash bin : 0.3624 0.5011 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] dumbbell : 0.7352 0.9780 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] stair rail : 0.1903 0.2183 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] tube : 0.0538 0.0921 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] bathroom cabinet: 0.1359 0.1883 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] closet rod : 0.2312 0.5840 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] coffee kettle : 0.0737 0.1202 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] shower head : 0.1869 0.3402 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] case of water bottles: 0.0712 0.0717 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 02:33:37,698 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 02:33:37,698 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 02:33:37,698 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 02:33:37,698 INFO hook.py line 689 2389709] potted plant : 0.0114 0.0151 [2025-03-11 02:33:37,698 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 02:33:37,698 INFO hook.py line 689 2389709] mattress : 0.0235 0.0237 [2025-03-11 02:33:37,698 INFO hook.py line 690 2389709] ######################################## [2025-03-11 02:33:37,698 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2788/0.3869/0.8059. [2025-03-11 02:33:37,698 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 02:33:37,715 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2788 [2025-03-11 02:33:37,716 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2788 [2025-03-11 02:33:37,716 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 02:34:08,049 INFO hook.py line 566 2389709] Train: [26/100][50/300] Data 0.001 (0.002) Batch 0.537 (0.492) Remain 03:04:04 loss: 1.0282 Lr: 4.46441e-03 [2025-03-11 02:34:32,581 INFO hook.py line 566 2389709] Train: [26/100][100/300] Data 0.002 (0.002) Batch 0.472 (0.491) Remain 03:03:24 loss: 0.9962 Lr: 4.45586e-03 [2025-03-11 02:34:57,024 INFO hook.py line 566 2389709] Train: [26/100][150/300] Data 0.002 (0.002) Batch 0.520 (0.490) Remain 03:02:41 loss: 0.7785 Lr: 4.44725e-03 [2025-03-11 02:35:21,962 INFO hook.py line 566 2389709] Train: [26/100][200/300] Data 0.002 (0.002) Batch 0.467 (0.493) Remain 03:03:04 loss: 0.9306 Lr: 4.43858e-03 [2025-03-11 02:35:46,744 INFO hook.py line 566 2389709] Train: [26/100][250/300] Data 0.002 (0.002) Batch 0.541 (0.493) Remain 03:02:53 loss: 0.9051 Lr: 4.42985e-03 [2025-03-11 02:36:10,905 INFO hook.py line 566 2389709] Train: [26/100][300/300] Data 0.001 (0.002) Batch 0.516 (0.492) Remain 03:01:51 loss: 0.8363 Lr: 4.42106e-03 [2025-03-11 02:36:10,905 INFO misc.py line 135 2389709] Train result: loss: 0.9240 [2025-03-11 02:36:10,993 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 02:37:01,114 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5579 [2025-03-11 02:37:01,172 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2524 [2025-03-11 02:37:01,208 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.8800 [2025-03-11 02:37:01,258 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4801 [2025-03-11 02:37:01,295 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0570 [2025-03-11 02:37:01,352 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.3838 [2025-03-11 02:37:01,407 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.0679 [2025-03-11 02:37:01,437 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2104 [2025-03-11 02:37:01,483 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2773 [2025-03-11 02:37:01,535 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.6543 [2025-03-11 02:37:01,587 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2868 [2025-03-11 02:37:01,620 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0659 [2025-03-11 02:37:01,668 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.6131 [2025-03-11 02:37:01,718 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.0551 [2025-03-11 02:37:01,763 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.4200 [2025-03-11 02:37:01,812 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1807 [2025-03-11 02:37:01,850 INFO hook.py line 748 2389709] Test: [17/78] Loss 0.8809 [2025-03-11 02:37:01,885 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.2621 [2025-03-11 02:37:01,933 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5768 [2025-03-11 02:37:01,966 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4309 [2025-03-11 02:37:02,001 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.8551 [2025-03-11 02:37:02,042 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.5946 [2025-03-11 02:37:02,071 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4172 [2025-03-11 02:37:02,141 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.2232 [2025-03-11 02:37:02,183 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.9341 [2025-03-11 02:37:02,231 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1199 [2025-03-11 02:37:02,285 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.3472 [2025-03-11 02:37:02,322 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.9109 [2025-03-11 02:37:02,357 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.3245 [2025-03-11 02:37:02,416 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.4050 [2025-03-11 02:37:02,474 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4555 [2025-03-11 02:37:02,512 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6616 [2025-03-11 02:37:02,576 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.9745 [2025-03-11 02:37:02,617 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.2400 [2025-03-11 02:37:02,657 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1104 [2025-03-11 02:37:02,702 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5663 [2025-03-11 02:37:02,741 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.7123 [2025-03-11 02:37:02,770 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8761 [2025-03-11 02:37:02,838 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.1544 [2025-03-11 02:37:02,884 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.2561 [2025-03-11 02:37:02,943 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3927 [2025-03-11 02:37:02,973 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4542 [2025-03-11 02:37:03,017 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3970 [2025-03-11 02:37:03,076 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0538 [2025-03-11 02:37:03,128 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.2924 [2025-03-11 02:37:03,177 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2284 [2025-03-11 02:37:03,219 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.4876 [2025-03-11 02:37:03,256 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1045 [2025-03-11 02:37:03,288 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.5036 [2025-03-11 02:37:03,321 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5049 [2025-03-11 02:37:03,355 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0996 [2025-03-11 02:37:03,392 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6702 [2025-03-11 02:37:03,423 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1181 [2025-03-11 02:37:03,459 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.3974 [2025-03-11 02:37:03,497 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.2420 [2025-03-11 02:37:03,538 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.1518 [2025-03-11 02:37:03,572 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.5407 [2025-03-11 02:37:03,598 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.0238 [2025-03-11 02:37:03,639 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7158 [2025-03-11 02:37:03,680 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6660 [2025-03-11 02:37:03,709 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.1338 [2025-03-11 02:37:03,749 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0101 [2025-03-11 02:37:03,786 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1887 [2025-03-11 02:37:03,843 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.5927 [2025-03-11 02:37:03,875 INFO hook.py line 748 2389709] Test: [65/78] Loss 1.9928 [2025-03-11 02:37:03,918 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.6104 [2025-03-11 02:37:03,958 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1030 [2025-03-11 02:37:03,999 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.6845 [2025-03-11 02:37:04,031 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3670 [2025-03-11 02:37:04,093 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.5915 [2025-03-11 02:37:04,137 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.4109 [2025-03-11 02:37:04,194 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5089 [2025-03-11 02:37:04,251 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7530 [2025-03-11 02:37:04,296 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.3046 [2025-03-11 02:37:04,348 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.4156 [2025-03-11 02:37:04,377 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.6109 [2025-03-11 02:37:04,439 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7369 [2025-03-11 02:37:04,465 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8695 [2025-03-11 02:37:05,819 INFO hook.py line 674 2389709] ######################################## [2025-03-11 02:37:05,820 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 02:37:05,820 INFO hook.py line 680 2389709] ######################################## [2025-03-11 02:37:05,820 INFO hook.py line 689 2389709] wall : 0.7665 0.8694 [2025-03-11 02:37:05,820 INFO hook.py line 689 2389709] chair : 0.7315 0.8954 [2025-03-11 02:37:05,820 INFO hook.py line 689 2389709] floor : 0.9530 0.9856 [2025-03-11 02:37:05,820 INFO hook.py line 689 2389709] table : 0.6053 0.8166 [2025-03-11 02:37:05,820 INFO hook.py line 689 2389709] door : 0.6125 0.7306 [2025-03-11 02:37:05,820 INFO hook.py line 689 2389709] couch : 0.7393 0.8742 [2025-03-11 02:37:05,821 INFO hook.py line 689 2389709] cabinet : 0.2677 0.4848 [2025-03-11 02:37:05,821 INFO hook.py line 689 2389709] shelf : 0.3880 0.5157 [2025-03-11 02:37:05,821 INFO hook.py line 689 2389709] desk : 0.4746 0.5757 [2025-03-11 02:37:05,821 INFO hook.py line 689 2389709] office chair : 0.1283 0.1484 [2025-03-11 02:37:05,821 INFO hook.py line 689 2389709] bed : 0.7617 0.8598 [2025-03-11 02:37:05,821 INFO hook.py line 689 2389709] pillow : 0.5022 0.6928 [2025-03-11 02:37:05,821 INFO hook.py line 689 2389709] sink : 0.5755 0.7830 [2025-03-11 02:37:05,821 INFO hook.py line 689 2389709] picture : 0.3267 0.5286 [2025-03-11 02:37:05,821 INFO hook.py line 689 2389709] window : 0.5374 0.7677 [2025-03-11 02:37:05,821 INFO hook.py line 689 2389709] toilet : 0.9260 0.9695 [2025-03-11 02:37:05,821 INFO hook.py line 689 2389709] bookshelf : 0.4301 0.5243 [2025-03-11 02:37:05,822 INFO hook.py line 689 2389709] monitor : 0.8225 0.8891 [2025-03-11 02:37:05,822 INFO hook.py line 689 2389709] curtain : 0.6870 0.8096 [2025-03-11 02:37:05,822 INFO hook.py line 689 2389709] book : 0.4242 0.6745 [2025-03-11 02:37:05,822 INFO hook.py line 689 2389709] armchair : 0.3883 0.4634 [2025-03-11 02:37:05,822 INFO hook.py line 689 2389709] coffee table : 0.6442 0.8654 [2025-03-11 02:37:05,822 INFO hook.py line 689 2389709] box : 0.2975 0.4327 [2025-03-11 02:37:05,822 INFO hook.py line 689 2389709] refrigerator : 0.6140 0.7620 [2025-03-11 02:37:05,822 INFO hook.py line 689 2389709] lamp : 0.6565 0.7717 [2025-03-11 02:37:05,822 INFO hook.py line 689 2389709] kitchen cabinet: 0.5386 0.7116 [2025-03-11 02:37:05,822 INFO hook.py line 689 2389709] towel : 0.4841 0.6121 [2025-03-11 02:37:05,822 INFO hook.py line 689 2389709] clothes : 0.1720 0.3331 [2025-03-11 02:37:05,823 INFO hook.py line 689 2389709] tv : 0.6937 0.9250 [2025-03-11 02:37:05,823 INFO hook.py line 689 2389709] nightstand : 0.6577 0.7375 [2025-03-11 02:37:05,823 INFO hook.py line 689 2389709] counter : 0.2090 0.2720 [2025-03-11 02:37:05,823 INFO hook.py line 689 2389709] dresser : 0.3570 0.5216 [2025-03-11 02:37:05,823 INFO hook.py line 689 2389709] stool : 0.5083 0.7018 [2025-03-11 02:37:05,823 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 02:37:05,823 INFO hook.py line 689 2389709] plant : 0.6079 0.9136 [2025-03-11 02:37:05,823 INFO hook.py line 689 2389709] ceiling : 0.9220 0.9709 [2025-03-11 02:37:05,823 INFO hook.py line 689 2389709] bathtub : 0.8328 0.8530 [2025-03-11 02:37:05,823 INFO hook.py line 689 2389709] end table : 0.1494 0.2323 [2025-03-11 02:37:05,823 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 [2025-03-11 02:37:05,823 INFO hook.py line 689 2389709] keyboard : 0.3943 0.6198 [2025-03-11 02:37:05,827 INFO hook.py line 689 2389709] bag : 0.2015 0.2533 [2025-03-11 02:37:05,827 INFO hook.py line 689 2389709] backpack : 0.4793 0.7977 [2025-03-11 02:37:05,827 INFO hook.py line 689 2389709] toilet paper : 0.4392 0.6125 [2025-03-11 02:37:05,827 INFO hook.py line 689 2389709] printer : 0.3931 0.7194 [2025-03-11 02:37:05,827 INFO hook.py line 689 2389709] tv stand : 0.3355 0.9401 [2025-03-11 02:37:05,828 INFO hook.py line 689 2389709] whiteboard : 0.3438 0.6627 [2025-03-11 02:37:05,828 INFO hook.py line 689 2389709] blanket : 0.0239 0.0250 [2025-03-11 02:37:05,828 INFO hook.py line 689 2389709] shower curtain : 0.6075 0.7090 [2025-03-11 02:37:05,828 INFO hook.py line 689 2389709] trash can : 0.6374 0.7873 [2025-03-11 02:37:05,828 INFO hook.py line 689 2389709] closet : 0.0716 0.1026 [2025-03-11 02:37:05,828 INFO hook.py line 689 2389709] stairs : 0.5482 0.7083 [2025-03-11 02:37:05,828 INFO hook.py line 689 2389709] microwave : 0.4545 0.6043 [2025-03-11 02:37:05,828 INFO hook.py line 689 2389709] stove : 0.6020 0.8448 [2025-03-11 02:37:05,828 INFO hook.py line 689 2389709] shoe : 0.4537 0.6504 [2025-03-11 02:37:05,828 INFO hook.py line 689 2389709] computer tower : 0.4352 0.7496 [2025-03-11 02:37:05,828 INFO hook.py line 689 2389709] bottle : 0.1626 0.3146 [2025-03-11 02:37:05,829 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 02:37:05,829 INFO hook.py line 689 2389709] ottoman : 0.3588 0.4733 [2025-03-11 02:37:05,829 INFO hook.py line 689 2389709] bench : 0.2885 0.3522 [2025-03-11 02:37:05,829 INFO hook.py line 689 2389709] board : 0.1149 0.2317 [2025-03-11 02:37:05,829 INFO hook.py line 689 2389709] washing machine: 0.7817 0.8367 [2025-03-11 02:37:05,829 INFO hook.py line 689 2389709] mirror : 0.3109 0.3626 [2025-03-11 02:37:05,829 INFO hook.py line 689 2389709] copier : 0.7351 0.8539 [2025-03-11 02:37:05,829 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 02:37:05,829 INFO hook.py line 689 2389709] sofa chair : 0.1780 0.5909 [2025-03-11 02:37:05,829 INFO hook.py line 689 2389709] file cabinet : 0.3140 0.6219 [2025-03-11 02:37:05,829 INFO hook.py line 689 2389709] fan : 0.3321 0.5443 [2025-03-11 02:37:05,830 INFO hook.py line 689 2389709] laptop : 0.5104 0.5793 [2025-03-11 02:37:05,830 INFO hook.py line 689 2389709] shower : 0.2531 0.2782 [2025-03-11 02:37:05,830 INFO hook.py line 689 2389709] paper : 0.0469 0.0550 [2025-03-11 02:37:05,830 INFO hook.py line 689 2389709] person : 0.3063 0.4894 [2025-03-11 02:37:05,830 INFO hook.py line 689 2389709] paper towel dispenser: 0.5276 0.7918 [2025-03-11 02:37:05,830 INFO hook.py line 689 2389709] oven : 0.0302 0.1352 [2025-03-11 02:37:05,830 INFO hook.py line 689 2389709] blinds : 0.0148 0.0161 [2025-03-11 02:37:05,830 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 02:37:05,830 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 02:37:05,830 INFO hook.py line 689 2389709] blackboard : 0.4694 0.7547 [2025-03-11 02:37:05,830 INFO hook.py line 689 2389709] piano : 0.3932 0.4122 [2025-03-11 02:37:05,830 INFO hook.py line 689 2389709] suitcase : 0.4608 0.6837 [2025-03-11 02:37:05,831 INFO hook.py line 689 2389709] rail : 0.0528 0.0598 [2025-03-11 02:37:05,831 INFO hook.py line 689 2389709] radiator : 0.5965 0.7121 [2025-03-11 02:37:05,831 INFO hook.py line 689 2389709] recycling bin : 0.4782 0.6338 [2025-03-11 02:37:05,831 INFO hook.py line 689 2389709] container : 0.0289 0.0944 [2025-03-11 02:37:05,831 INFO hook.py line 689 2389709] wardrobe : 0.1043 0.1073 [2025-03-11 02:37:05,831 INFO hook.py line 689 2389709] soap dispenser : 0.7228 0.9207 [2025-03-11 02:37:05,831 INFO hook.py line 689 2389709] telephone : 0.2833 0.6722 [2025-03-11 02:37:05,831 INFO hook.py line 689 2389709] bucket : 0.2018 0.7368 [2025-03-11 02:37:05,831 INFO hook.py line 689 2389709] clock : 0.1792 0.3292 [2025-03-11 02:37:05,831 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 02:37:05,831 INFO hook.py line 689 2389709] light : 0.0234 0.0288 [2025-03-11 02:37:05,832 INFO hook.py line 689 2389709] laundry basket : 0.0926 0.1597 [2025-03-11 02:37:05,832 INFO hook.py line 689 2389709] pipe : 0.0797 0.1500 [2025-03-11 02:37:05,832 INFO hook.py line 689 2389709] clothes dryer : 0.4059 0.4263 [2025-03-11 02:37:05,832 INFO hook.py line 689 2389709] guitar : 0.4586 0.8532 [2025-03-11 02:37:05,832 INFO hook.py line 689 2389709] toilet paper holder: 0.0178 0.1111 [2025-03-11 02:37:05,832 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 02:37:05,832 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 02:37:05,832 INFO hook.py line 689 2389709] column : 0.0693 0.0833 [2025-03-11 02:37:05,832 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 02:37:05,832 INFO hook.py line 689 2389709] ladder : 0.6528 0.7326 [2025-03-11 02:37:05,832 INFO hook.py line 689 2389709] bathroom stall : 0.3628 0.4654 [2025-03-11 02:37:05,832 INFO hook.py line 689 2389709] shower wall : 0.4829 0.6701 [2025-03-11 02:37:05,833 INFO hook.py line 689 2389709] cup : 0.2386 0.6057 [2025-03-11 02:37:05,833 INFO hook.py line 689 2389709] jacket : 0.1731 0.2209 [2025-03-11 02:37:05,833 INFO hook.py line 689 2389709] storage bin : 0.0275 0.0380 [2025-03-11 02:37:05,833 INFO hook.py line 689 2389709] coffee maker : 0.5568 0.9836 [2025-03-11 02:37:05,833 INFO hook.py line 689 2389709] dishwasher : 0.2060 0.4086 [2025-03-11 02:37:05,833 INFO hook.py line 689 2389709] paper towel roll: 0.0477 0.0477 [2025-03-11 02:37:05,833 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 02:37:05,833 INFO hook.py line 689 2389709] mat : 0.2593 0.3355 [2025-03-11 02:37:05,833 INFO hook.py line 689 2389709] windowsill : 0.1110 0.1172 [2025-03-11 02:37:05,833 INFO hook.py line 689 2389709] bar : 0.1115 0.1685 [2025-03-11 02:37:05,833 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 02:37:05,834 INFO hook.py line 689 2389709] bulletin board : 0.1781 0.3613 [2025-03-11 02:37:05,834 INFO hook.py line 689 2389709] ironing board : 0.0494 0.0536 [2025-03-11 02:37:05,834 INFO hook.py line 689 2389709] fireplace : 0.4674 0.4763 [2025-03-11 02:37:05,834 INFO hook.py line 689 2389709] soap dish : 0.3130 0.5291 [2025-03-11 02:37:05,834 INFO hook.py line 689 2389709] kitchen counter: 0.4785 0.5718 [2025-03-11 02:37:05,834 INFO hook.py line 689 2389709] doorframe : 0.3861 0.5272 [2025-03-11 02:37:05,834 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3451 0.4660 [2025-03-11 02:37:05,834 INFO hook.py line 689 2389709] mini fridge : 0.2285 0.2504 [2025-03-11 02:37:05,834 INFO hook.py line 689 2389709] fire extinguisher: 0.0499 0.1415 [2025-03-11 02:37:05,836 INFO hook.py line 689 2389709] ball : 0.2394 0.9410 [2025-03-11 02:37:05,836 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 02:37:05,837 INFO hook.py line 689 2389709] shower curtain rod: 0.3684 0.7464 [2025-03-11 02:37:05,837 INFO hook.py line 689 2389709] water cooler : 0.5220 0.7111 [2025-03-11 02:37:05,837 INFO hook.py line 689 2389709] paper cutter : 0.2175 0.2772 [2025-03-11 02:37:05,837 INFO hook.py line 689 2389709] tray : 0.0241 0.0499 [2025-03-11 02:37:05,837 INFO hook.py line 689 2389709] shower door : 0.1502 0.2197 [2025-03-11 02:37:05,837 INFO hook.py line 689 2389709] pillar : 0.0666 0.0795 [2025-03-11 02:37:05,837 INFO hook.py line 689 2389709] ledge : 0.0256 0.0279 [2025-03-11 02:37:05,837 INFO hook.py line 689 2389709] toaster oven : 0.1899 0.1912 [2025-03-11 02:37:05,837 INFO hook.py line 689 2389709] mouse : 0.0594 0.2398 [2025-03-11 02:37:05,837 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6206 0.8670 [2025-03-11 02:37:05,838 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 02:37:05,838 INFO hook.py line 689 2389709] cart : 0.1242 0.1508 [2025-03-11 02:37:05,838 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 02:37:05,838 INFO hook.py line 689 2389709] scale : 0.5058 0.9121 [2025-03-11 02:37:05,838 INFO hook.py line 689 2389709] tissue box : 0.1261 0.1556 [2025-03-11 02:37:05,838 INFO hook.py line 689 2389709] light switch : 0.0739 0.2270 [2025-03-11 02:37:05,838 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 02:37:05,838 INFO hook.py line 689 2389709] power outlet : 0.0398 0.0502 [2025-03-11 02:37:05,838 INFO hook.py line 689 2389709] decoration : 0.1014 0.6471 [2025-03-11 02:37:05,838 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 02:37:05,838 INFO hook.py line 689 2389709] projector : 0.1907 1.0000 [2025-03-11 02:37:05,838 INFO hook.py line 689 2389709] closet door : 0.1760 0.2265 [2025-03-11 02:37:05,839 INFO hook.py line 689 2389709] vacuum cleaner : 0.7035 0.9914 [2025-03-11 02:37:05,839 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 02:37:05,839 INFO hook.py line 689 2389709] plunger : 0.4642 0.9904 [2025-03-11 02:37:05,839 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 02:37:05,839 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 02:37:05,839 INFO hook.py line 689 2389709] dish rack : 0.3934 0.4754 [2025-03-11 02:37:05,839 INFO hook.py line 689 2389709] broom : 0.0643 0.1719 [2025-03-11 02:37:05,839 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 02:37:05,839 INFO hook.py line 689 2389709] range hood : 0.7049 0.8915 [2025-03-11 02:37:05,839 INFO hook.py line 689 2389709] dustpan : 0.0495 0.1105 [2025-03-11 02:37:05,839 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 02:37:05,840 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 02:37:05,840 INFO hook.py line 689 2389709] handicap bar : 0.0579 0.4743 [2025-03-11 02:37:05,840 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 02:37:05,840 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 02:37:05,840 INFO hook.py line 689 2389709] shower floor : 0.7733 0.8564 [2025-03-11 02:37:05,840 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 02:37:05,840 INFO hook.py line 689 2389709] mailbox : 0.4326 0.5117 [2025-03-11 02:37:05,840 INFO hook.py line 689 2389709] bowl : 0.0009 0.0016 [2025-03-11 02:37:05,840 INFO hook.py line 689 2389709] paper bag : 0.1186 0.2387 [2025-03-11 02:37:05,840 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 02:37:05,840 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 02:37:05,841 INFO hook.py line 689 2389709] projector screen: 0.0049 0.0056 [2025-03-11 02:37:05,841 INFO hook.py line 689 2389709] divider : 0.4322 0.4998 [2025-03-11 02:37:05,841 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 02:37:05,841 INFO hook.py line 689 2389709] bathroom counter: 0.1229 0.1277 [2025-03-11 02:37:05,841 INFO hook.py line 689 2389709] object : 0.0249 0.0400 [2025-03-11 02:37:05,841 INFO hook.py line 689 2389709] bathroom vanity: 0.4482 0.7372 [2025-03-11 02:37:05,841 INFO hook.py line 689 2389709] closet wall : 0.0379 0.0951 [2025-03-11 02:37:05,841 INFO hook.py line 689 2389709] laundry hamper : 0.0001 0.0002 [2025-03-11 02:37:05,841 INFO hook.py line 689 2389709] bathroom stall door: 0.4869 0.7760 [2025-03-11 02:37:05,841 INFO hook.py line 689 2389709] ceiling light : 0.3655 0.4378 [2025-03-11 02:37:05,841 INFO hook.py line 689 2389709] trash bin : 0.3234 0.4156 [2025-03-11 02:37:05,842 INFO hook.py line 689 2389709] dumbbell : 0.1507 0.9687 [2025-03-11 02:37:05,842 INFO hook.py line 689 2389709] stair rail : 0.2227 0.2869 [2025-03-11 02:37:05,842 INFO hook.py line 689 2389709] tube : 0.0980 0.1427 [2025-03-11 02:37:05,842 INFO hook.py line 689 2389709] bathroom cabinet: 0.1811 0.2238 [2025-03-11 02:37:05,843 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 02:37:05,843 INFO hook.py line 689 2389709] closet rod : 0.1963 0.5712 [2025-03-11 02:37:05,843 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 02:37:05,843 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 02:37:05,843 INFO hook.py line 689 2389709] shower head : 0.1759 0.2727 [2025-03-11 02:37:05,843 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 02:37:05,843 INFO hook.py line 689 2389709] case of water bottles: 0.0073 0.0073 [2025-03-11 02:37:05,843 INFO hook.py line 689 2389709] coat rack : 0.0170 0.0622 [2025-03-11 02:37:05,843 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 02:37:05,843 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 02:37:05,843 INFO hook.py line 689 2389709] fire alarm : 0.0543 0.8095 [2025-03-11 02:37:05,844 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 02:37:05,844 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 02:37:05,844 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 02:37:05,844 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 02:37:05,844 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 02:37:05,844 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 [2025-03-11 02:37:05,844 INFO hook.py line 690 2389709] ######################################## [2025-03-11 02:37:05,844 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2693/0.3940/0.7953. [2025-03-11 02:37:05,845 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 02:37:05,860 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2788 [2025-03-11 02:37:05,860 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 02:37:35,701 INFO hook.py line 566 2389709] Train: [27/100][50/300] Data 0.002 (0.002) Batch 0.483 (0.493) Remain 03:01:54 loss: 0.7095 Lr: 4.41221e-03 [2025-03-11 02:38:00,424 INFO hook.py line 566 2389709] Train: [27/100][100/300] Data 0.003 (0.002) Batch 0.506 (0.494) Remain 03:01:49 loss: 1.1774 Lr: 4.40331e-03 [2025-03-11 02:38:25,286 INFO hook.py line 566 2389709] Train: [27/100][150/300] Data 0.002 (0.002) Batch 0.499 (0.495) Remain 03:01:51 loss: 0.9203 Lr: 4.39435e-03 [2025-03-11 02:38:49,684 INFO hook.py line 566 2389709] Train: [27/100][200/300] Data 0.002 (0.002) Batch 0.467 (0.493) Remain 03:00:48 loss: 0.5208 Lr: 4.38533e-03 [2025-03-11 02:39:14,246 INFO hook.py line 566 2389709] Train: [27/100][250/300] Data 0.002 (0.002) Batch 0.534 (0.493) Remain 03:00:15 loss: 0.9744 Lr: 4.37643e-03 [2025-03-11 02:39:38,469 INFO hook.py line 566 2389709] Train: [27/100][300/300] Data 0.001 (0.002) Batch 0.432 (0.491) Remain 02:59:20 loss: 0.8618 Lr: 4.36730e-03 [2025-03-11 02:39:38,469 INFO misc.py line 135 2389709] Train result: loss: 0.9091 [2025-03-11 02:39:38,567 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 02:40:33,982 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4781 [2025-03-11 02:40:34,034 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.1725 [2025-03-11 02:40:34,073 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.8333 [2025-03-11 02:40:34,121 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4995 [2025-03-11 02:40:34,168 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.4073 [2025-03-11 02:40:34,235 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.6510 [2025-03-11 02:40:34,291 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9659 [2025-03-11 02:40:34,318 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3671 [2025-03-11 02:40:34,368 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.4356 [2025-03-11 02:40:34,413 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.0789 [2025-03-11 02:40:34,464 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3450 [2025-03-11 02:40:34,497 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.9198 [2025-03-11 02:40:34,549 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.6308 [2025-03-11 02:40:34,594 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.3438 [2025-03-11 02:40:34,633 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.7645 [2025-03-11 02:40:34,695 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.3414 [2025-03-11 02:40:34,739 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3068 [2025-03-11 02:40:34,777 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8668 [2025-03-11 02:40:34,825 INFO hook.py line 748 2389709] Test: [19/78] Loss 1.9765 [2025-03-11 02:40:34,862 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5310 [2025-03-11 02:40:34,902 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6403 [2025-03-11 02:40:34,953 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9237 [2025-03-11 02:40:34,988 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.7177 [2025-03-11 02:40:35,039 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.2208 [2025-03-11 02:40:35,084 INFO hook.py line 748 2389709] Test: [25/78] Loss 2.5108 [2025-03-11 02:40:35,133 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.6604 [2025-03-11 02:40:35,189 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9132 [2025-03-11 02:40:35,237 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6007 [2025-03-11 02:40:35,276 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0124 [2025-03-11 02:40:35,350 INFO hook.py line 748 2389709] Test: [30/78] Loss 2.2305 [2025-03-11 02:40:35,412 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.8222 [2025-03-11 02:40:35,454 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.5810 [2025-03-11 02:40:35,524 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.9210 [2025-03-11 02:40:35,569 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.5489 [2025-03-11 02:40:35,610 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2951 [2025-03-11 02:40:35,653 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5532 [2025-03-11 02:40:35,691 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.5156 [2025-03-11 02:40:35,741 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.5050 [2025-03-11 02:40:35,807 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.2373 [2025-03-11 02:40:35,859 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.7333 [2025-03-11 02:40:35,914 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3973 [2025-03-11 02:40:35,949 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4424 [2025-03-11 02:40:35,989 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1336 [2025-03-11 02:40:36,047 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0624 [2025-03-11 02:40:36,089 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.3986 [2025-03-11 02:40:36,140 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.7719 [2025-03-11 02:40:36,181 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9473 [2025-03-11 02:40:36,216 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.3536 [2025-03-11 02:40:36,251 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.6828 [2025-03-11 02:40:36,289 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.9485 [2025-03-11 02:40:36,320 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9753 [2025-03-11 02:40:36,355 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.8396 [2025-03-11 02:40:36,383 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3186 [2025-03-11 02:40:36,423 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8606 [2025-03-11 02:40:36,466 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.2821 [2025-03-11 02:40:36,510 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0066 [2025-03-11 02:40:36,548 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.6699 [2025-03-11 02:40:36,579 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1037 [2025-03-11 02:40:36,618 INFO hook.py line 748 2389709] Test: [59/78] Loss 1.0780 [2025-03-11 02:40:36,653 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7351 [2025-03-11 02:40:36,680 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.0942 [2025-03-11 02:40:36,714 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0677 [2025-03-11 02:40:36,753 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.9682 [2025-03-11 02:40:36,812 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6912 [2025-03-11 02:40:36,840 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2412 [2025-03-11 02:40:36,888 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.6758 [2025-03-11 02:40:36,928 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1047 [2025-03-11 02:40:36,966 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.8398 [2025-03-11 02:40:37,002 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.2950 [2025-03-11 02:40:37,067 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.8586 [2025-03-11 02:40:37,113 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7803 [2025-03-11 02:40:37,167 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6088 [2025-03-11 02:40:37,221 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6862 [2025-03-11 02:40:37,269 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.7574 [2025-03-11 02:40:37,324 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.4965 [2025-03-11 02:40:37,356 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9949 [2025-03-11 02:40:37,415 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5802 [2025-03-11 02:40:37,441 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3206 [2025-03-11 02:40:38,635 INFO hook.py line 674 2389709] ######################################## [2025-03-11 02:40:38,636 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 02:40:38,636 INFO hook.py line 680 2389709] ######################################## [2025-03-11 02:40:38,636 INFO hook.py line 689 2389709] wall : 0.7362 0.9564 [2025-03-11 02:40:38,636 INFO hook.py line 689 2389709] chair : 0.7325 0.8583 [2025-03-11 02:40:38,636 INFO hook.py line 689 2389709] floor : 0.9521 0.9792 [2025-03-11 02:40:38,636 INFO hook.py line 689 2389709] table : 0.5723 0.8099 [2025-03-11 02:40:38,636 INFO hook.py line 689 2389709] door : 0.5486 0.6086 [2025-03-11 02:40:38,636 INFO hook.py line 689 2389709] couch : 0.6236 0.9384 [2025-03-11 02:40:38,637 INFO hook.py line 689 2389709] cabinet : 0.2861 0.4207 [2025-03-11 02:40:38,637 INFO hook.py line 689 2389709] shelf : 0.3279 0.3932 [2025-03-11 02:40:38,637 INFO hook.py line 689 2389709] desk : 0.4420 0.5074 [2025-03-11 02:40:38,637 INFO hook.py line 689 2389709] office chair : 0.0952 0.1219 [2025-03-11 02:40:38,637 INFO hook.py line 689 2389709] bed : 0.7723 0.8611 [2025-03-11 02:40:38,637 INFO hook.py line 689 2389709] pillow : 0.4718 0.5870 [2025-03-11 02:40:38,637 INFO hook.py line 689 2389709] sink : 0.6109 0.7071 [2025-03-11 02:40:38,637 INFO hook.py line 689 2389709] picture : 0.3191 0.3757 [2025-03-11 02:40:38,637 INFO hook.py line 689 2389709] window : 0.4906 0.6405 [2025-03-11 02:40:38,637 INFO hook.py line 689 2389709] toilet : 0.9053 0.9396 [2025-03-11 02:40:38,637 INFO hook.py line 689 2389709] bookshelf : 0.4461 0.5782 [2025-03-11 02:40:38,638 INFO hook.py line 689 2389709] monitor : 0.7806 0.8180 [2025-03-11 02:40:38,638 INFO hook.py line 689 2389709] curtain : 0.6390 0.7143 [2025-03-11 02:40:38,638 INFO hook.py line 689 2389709] book : 0.4056 0.7285 [2025-03-11 02:40:38,638 INFO hook.py line 689 2389709] armchair : 0.0892 0.0896 [2025-03-11 02:40:38,638 INFO hook.py line 689 2389709] coffee table : 0.3393 0.3608 [2025-03-11 02:40:38,638 INFO hook.py line 689 2389709] box : 0.3048 0.4610 [2025-03-11 02:40:38,638 INFO hook.py line 689 2389709] refrigerator : 0.6164 0.7008 [2025-03-11 02:40:38,638 INFO hook.py line 689 2389709] lamp : 0.6327 0.7442 [2025-03-11 02:40:38,638 INFO hook.py line 689 2389709] kitchen cabinet: 0.6447 0.8439 [2025-03-11 02:40:38,638 INFO hook.py line 689 2389709] towel : 0.4330 0.5982 [2025-03-11 02:40:38,638 INFO hook.py line 689 2389709] clothes : 0.2262 0.3117 [2025-03-11 02:40:38,639 INFO hook.py line 689 2389709] tv : 0.8131 0.8512 [2025-03-11 02:40:38,639 INFO hook.py line 689 2389709] nightstand : 0.4879 0.8178 [2025-03-11 02:40:38,639 INFO hook.py line 689 2389709] counter : 0.1620 0.2039 [2025-03-11 02:40:38,639 INFO hook.py line 689 2389709] dresser : 0.3672 0.7000 [2025-03-11 02:40:38,639 INFO hook.py line 689 2389709] stool : 0.5036 0.6004 [2025-03-11 02:40:38,639 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 02:40:38,639 INFO hook.py line 689 2389709] plant : 0.6967 0.9071 [2025-03-11 02:40:38,639 INFO hook.py line 689 2389709] ceiling : 0.9083 0.9775 [2025-03-11 02:40:38,639 INFO hook.py line 689 2389709] bathtub : 0.8510 0.9154 [2025-03-11 02:40:38,639 INFO hook.py line 689 2389709] end table : 0.1320 0.3015 [2025-03-11 02:40:38,639 INFO hook.py line 689 2389709] dining table : 0.0043 0.0045 [2025-03-11 02:40:38,640 INFO hook.py line 689 2389709] keyboard : 0.3741 0.4502 [2025-03-11 02:40:38,640 INFO hook.py line 689 2389709] bag : 0.1438 0.2127 [2025-03-11 02:40:38,640 INFO hook.py line 689 2389709] backpack : 0.5859 0.7234 [2025-03-11 02:40:38,640 INFO hook.py line 689 2389709] toilet paper : 0.4113 0.5098 [2025-03-11 02:40:38,640 INFO hook.py line 689 2389709] printer : 0.4081 0.4561 [2025-03-11 02:40:38,640 INFO hook.py line 689 2389709] tv stand : 0.5830 0.7176 [2025-03-11 02:40:38,640 INFO hook.py line 689 2389709] whiteboard : 0.4756 0.6561 [2025-03-11 02:40:38,640 INFO hook.py line 689 2389709] blanket : 0.0995 0.1711 [2025-03-11 02:40:38,640 INFO hook.py line 689 2389709] shower curtain : 0.6580 0.7179 [2025-03-11 02:40:38,640 INFO hook.py line 689 2389709] trash can : 0.6088 0.7352 [2025-03-11 02:40:38,640 INFO hook.py line 689 2389709] closet : 0.0350 0.0403 [2025-03-11 02:40:38,641 INFO hook.py line 689 2389709] stairs : 0.2263 0.7939 [2025-03-11 02:40:38,641 INFO hook.py line 689 2389709] microwave : 0.4949 0.6517 [2025-03-11 02:40:38,641 INFO hook.py line 689 2389709] stove : 0.5293 0.6814 [2025-03-11 02:40:38,641 INFO hook.py line 689 2389709] shoe : 0.4510 0.6203 [2025-03-11 02:40:38,641 INFO hook.py line 689 2389709] computer tower : 0.5598 0.7972 [2025-03-11 02:40:38,641 INFO hook.py line 689 2389709] bottle : 0.1393 0.2087 [2025-03-11 02:40:38,641 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 02:40:38,641 INFO hook.py line 689 2389709] ottoman : 0.1586 0.1744 [2025-03-11 02:40:38,641 INFO hook.py line 689 2389709] bench : 0.2814 0.4012 [2025-03-11 02:40:38,641 INFO hook.py line 689 2389709] board : 0.0694 0.0793 [2025-03-11 02:40:38,641 INFO hook.py line 689 2389709] washing machine: 0.7990 0.8215 [2025-03-11 02:40:38,642 INFO hook.py line 689 2389709] mirror : 0.2820 0.3220 [2025-03-11 02:40:38,642 INFO hook.py line 689 2389709] copier : 0.7637 0.7747 [2025-03-11 02:40:38,642 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 02:40:38,642 INFO hook.py line 689 2389709] sofa chair : 0.0948 0.2642 [2025-03-11 02:40:38,642 INFO hook.py line 689 2389709] file cabinet : 0.3888 0.4550 [2025-03-11 02:40:38,642 INFO hook.py line 689 2389709] fan : 0.3303 0.4799 [2025-03-11 02:40:38,642 INFO hook.py line 689 2389709] laptop : 0.5460 0.6209 [2025-03-11 02:40:38,642 INFO hook.py line 689 2389709] shower : 0.0435 0.0438 [2025-03-11 02:40:38,642 INFO hook.py line 689 2389709] paper : 0.0000 0.0000 [2025-03-11 02:40:38,642 INFO hook.py line 689 2389709] person : 0.3540 0.4610 [2025-03-11 02:40:38,642 INFO hook.py line 689 2389709] paper towel dispenser: 0.5074 0.8146 [2025-03-11 02:40:38,642 INFO hook.py line 689 2389709] oven : 0.0060 0.0063 [2025-03-11 02:40:38,643 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 02:40:38,643 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 02:40:38,643 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 02:40:38,643 INFO hook.py line 689 2389709] blackboard : 0.4428 0.4528 [2025-03-11 02:40:38,643 INFO hook.py line 689 2389709] piano : 0.4364 0.7618 [2025-03-11 02:40:38,643 INFO hook.py line 689 2389709] suitcase : 0.6764 0.8162 [2025-03-11 02:40:38,643 INFO hook.py line 689 2389709] rail : 0.0328 0.0339 [2025-03-11 02:40:38,643 INFO hook.py line 689 2389709] radiator : 0.5715 0.6653 [2025-03-11 02:40:38,643 INFO hook.py line 689 2389709] recycling bin : 0.5252 0.6201 [2025-03-11 02:40:38,643 INFO hook.py line 689 2389709] container : 0.0004 0.0005 [2025-03-11 02:40:38,643 INFO hook.py line 689 2389709] wardrobe : 0.0961 0.1066 [2025-03-11 02:40:38,644 INFO hook.py line 689 2389709] soap dispenser : 0.5830 0.8938 [2025-03-11 02:40:38,644 INFO hook.py line 689 2389709] telephone : 0.2968 0.4848 [2025-03-11 02:40:38,644 INFO hook.py line 689 2389709] bucket : 0.3987 0.6359 [2025-03-11 02:40:38,644 INFO hook.py line 689 2389709] clock : 0.1967 0.2266 [2025-03-11 02:40:38,644 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 02:40:38,644 INFO hook.py line 689 2389709] light : 0.0197 0.0283 [2025-03-11 02:40:38,644 INFO hook.py line 689 2389709] laundry basket : 0.0002 0.0002 [2025-03-11 02:40:38,644 INFO hook.py line 689 2389709] pipe : 0.0729 0.0790 [2025-03-11 02:40:38,644 INFO hook.py line 689 2389709] clothes dryer : 0.1519 0.1546 [2025-03-11 02:40:38,644 INFO hook.py line 689 2389709] guitar : 0.6400 0.7487 [2025-03-11 02:40:38,644 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 02:40:38,645 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 02:40:38,645 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 02:40:38,645 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 02:40:38,645 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 02:40:38,645 INFO hook.py line 689 2389709] ladder : 0.3662 0.4098 [2025-03-11 02:40:38,645 INFO hook.py line 689 2389709] bathroom stall : 0.2142 0.2374 [2025-03-11 02:40:38,645 INFO hook.py line 689 2389709] shower wall : 0.5116 0.6456 [2025-03-11 02:40:38,645 INFO hook.py line 689 2389709] cup : 0.2279 0.3355 [2025-03-11 02:40:38,645 INFO hook.py line 689 2389709] jacket : 0.1869 0.2331 [2025-03-11 02:40:38,645 INFO hook.py line 689 2389709] storage bin : 0.0004 0.0004 [2025-03-11 02:40:38,645 INFO hook.py line 689 2389709] coffee maker : 0.6890 0.6897 [2025-03-11 02:40:38,645 INFO hook.py line 689 2389709] dishwasher : 0.1431 0.3110 [2025-03-11 02:40:38,646 INFO hook.py line 689 2389709] paper towel roll: 0.0000 0.0000 [2025-03-11 02:40:38,646 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 02:40:38,646 INFO hook.py line 689 2389709] mat : 0.0010 0.0011 [2025-03-11 02:40:38,646 INFO hook.py line 689 2389709] windowsill : 0.1737 0.2047 [2025-03-11 02:40:38,646 INFO hook.py line 689 2389709] bar : 0.1325 0.2395 [2025-03-11 02:40:38,646 INFO hook.py line 689 2389709] toaster : 0.0025 0.0038 [2025-03-11 02:40:38,646 INFO hook.py line 689 2389709] bulletin board : 0.0388 0.0513 [2025-03-11 02:40:38,646 INFO hook.py line 689 2389709] ironing board : 0.0228 0.0265 [2025-03-11 02:40:38,646 INFO hook.py line 689 2389709] fireplace : 0.5315 0.6138 [2025-03-11 02:40:38,646 INFO hook.py line 689 2389709] soap dish : 0.3008 0.4829 [2025-03-11 02:40:38,646 INFO hook.py line 689 2389709] kitchen counter: 0.5105 0.7757 [2025-03-11 02:40:38,647 INFO hook.py line 689 2389709] doorframe : 0.3175 0.3866 [2025-03-11 02:40:38,647 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2806 0.3362 [2025-03-11 02:40:38,647 INFO hook.py line 689 2389709] mini fridge : 0.0742 0.0753 [2025-03-11 02:40:38,647 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 02:40:38,647 INFO hook.py line 689 2389709] ball : 0.3582 0.6228 [2025-03-11 02:40:38,647 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 02:40:38,647 INFO hook.py line 689 2389709] shower curtain rod: 0.3498 0.8788 [2025-03-11 02:40:38,647 INFO hook.py line 689 2389709] water cooler : 0.6232 0.6761 [2025-03-11 02:40:38,647 INFO hook.py line 689 2389709] paper cutter : 0.0870 0.0909 [2025-03-11 02:40:38,647 INFO hook.py line 689 2389709] tray : 0.0439 0.0458 [2025-03-11 02:40:38,647 INFO hook.py line 689 2389709] shower door : 0.0942 0.2865 [2025-03-11 02:40:38,648 INFO hook.py line 689 2389709] pillar : 0.0057 0.0057 [2025-03-11 02:40:38,649 INFO hook.py line 689 2389709] ledge : 0.0738 0.1094 [2025-03-11 02:40:38,649 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 02:40:38,649 INFO hook.py line 689 2389709] mouse : 0.0435 0.2939 [2025-03-11 02:40:38,649 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.2771 0.3013 [2025-03-11 02:40:38,649 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 02:40:38,649 INFO hook.py line 689 2389709] cart : 0.0201 0.0203 [2025-03-11 02:40:38,649 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 02:40:38,649 INFO hook.py line 689 2389709] scale : 0.3327 0.7254 [2025-03-11 02:40:38,649 INFO hook.py line 689 2389709] tissue box : 0.0938 0.1225 [2025-03-11 02:40:38,649 INFO hook.py line 689 2389709] light switch : 0.0468 0.1754 [2025-03-11 02:40:38,650 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 02:40:38,650 INFO hook.py line 689 2389709] power outlet : 0.1013 0.1218 [2025-03-11 02:40:38,650 INFO hook.py line 689 2389709] decoration : 0.2084 0.2239 [2025-03-11 02:40:38,650 INFO hook.py line 689 2389709] sign : 0.0067 0.0110 [2025-03-11 02:40:38,650 INFO hook.py line 689 2389709] projector : 0.1379 0.4394 [2025-03-11 02:40:38,650 INFO hook.py line 689 2389709] closet door : 0.0147 0.0147 [2025-03-11 02:40:38,650 INFO hook.py line 689 2389709] vacuum cleaner : 0.8793 0.9247 [2025-03-11 02:40:38,650 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 02:40:38,650 INFO hook.py line 689 2389709] plunger : 0.7989 0.9401 [2025-03-11 02:40:38,650 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 02:40:38,650 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 02:40:38,651 INFO hook.py line 689 2389709] dish rack : 0.7652 0.8436 [2025-03-11 02:40:38,651 INFO hook.py line 689 2389709] broom : 0.0505 0.0687 [2025-03-11 02:40:38,651 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 02:40:38,651 INFO hook.py line 689 2389709] range hood : 0.7512 0.8749 [2025-03-11 02:40:38,651 INFO hook.py line 689 2389709] dustpan : 0.1121 0.1822 [2025-03-11 02:40:38,651 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 02:40:38,651 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 02:40:38,651 INFO hook.py line 689 2389709] handicap bar : 0.0003 0.0029 [2025-03-11 02:40:38,651 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 02:40:38,651 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 02:40:38,651 INFO hook.py line 689 2389709] shower floor : 0.0000 0.0000 [2025-03-11 02:40:38,652 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 02:40:38,652 INFO hook.py line 689 2389709] mailbox : 0.1184 0.1193 [2025-03-11 02:40:38,652 INFO hook.py line 689 2389709] bowl : 0.0496 0.0761 [2025-03-11 02:40:38,652 INFO hook.py line 689 2389709] paper bag : 0.0832 0.2954 [2025-03-11 02:40:38,652 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 02:40:38,652 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 02:40:38,652 INFO hook.py line 689 2389709] projector screen: 0.0075 0.0089 [2025-03-11 02:40:38,652 INFO hook.py line 689 2389709] divider : 0.4301 0.4806 [2025-03-11 02:40:38,652 INFO hook.py line 689 2389709] laundry detergent: 0.0058 0.0061 [2025-03-11 02:40:38,652 INFO hook.py line 689 2389709] bathroom counter: 0.1322 0.3479 [2025-03-11 02:40:38,652 INFO hook.py line 689 2389709] object : 0.0567 0.1054 [2025-03-11 02:40:38,653 INFO hook.py line 689 2389709] bathroom vanity: 0.3526 0.4437 [2025-03-11 02:40:38,653 INFO hook.py line 689 2389709] closet wall : 0.0990 0.1519 [2025-03-11 02:40:38,653 INFO hook.py line 689 2389709] laundry hamper : 0.2153 0.3659 [2025-03-11 02:40:38,653 INFO hook.py line 689 2389709] bathroom stall door: 0.2971 0.3173 [2025-03-11 02:40:38,653 INFO hook.py line 689 2389709] ceiling light : 0.1274 0.1358 [2025-03-11 02:40:38,653 INFO hook.py line 689 2389709] trash bin : 0.3095 0.4581 [2025-03-11 02:40:38,653 INFO hook.py line 689 2389709] dumbbell : 0.5924 0.7245 [2025-03-11 02:40:38,653 INFO hook.py line 689 2389709] stair rail : 0.2433 0.3443 [2025-03-11 02:40:38,653 INFO hook.py line 689 2389709] tube : 0.0933 0.1303 [2025-03-11 02:40:38,653 INFO hook.py line 689 2389709] bathroom cabinet: 0.4298 0.6438 [2025-03-11 02:40:38,653 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 02:40:38,654 INFO hook.py line 689 2389709] closet rod : 0.5543 0.7783 [2025-03-11 02:40:38,654 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 02:40:38,654 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 02:40:38,654 INFO hook.py line 689 2389709] shower head : 0.2322 0.3425 [2025-03-11 02:40:38,654 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 02:40:38,654 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 02:40:38,654 INFO hook.py line 689 2389709] coat rack : 0.0035 0.0048 [2025-03-11 02:40:38,654 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 02:40:38,654 INFO hook.py line 689 2389709] folded chair : 0.0373 0.0387 [2025-03-11 02:40:38,654 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 02:40:38,655 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 02:40:38,655 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 02:40:38,655 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 02:40:38,655 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 02:40:38,655 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 02:40:38,655 INFO hook.py line 689 2389709] mattress : 0.0042 0.0042 [2025-03-11 02:40:38,655 INFO hook.py line 690 2389709] ######################################## [2025-03-11 02:40:38,655 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2570/0.3345/0.7876. [2025-03-11 02:40:38,656 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 02:40:38,673 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2788 [2025-03-11 02:40:38,673 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 02:41:09,069 INFO hook.py line 566 2389709] Train: [28/100][50/300] Data 0.002 (0.002) Batch 0.480 (0.500) Remain 03:02:11 loss: 0.7411 Lr: 4.35811e-03 [2025-03-11 02:41:33,456 INFO hook.py line 566 2389709] Train: [28/100][100/300] Data 0.002 (0.002) Batch 0.524 (0.494) Remain 02:59:25 loss: 0.7817 Lr: 4.34886e-03 [2025-03-11 02:41:58,090 INFO hook.py line 566 2389709] Train: [28/100][150/300] Data 0.002 (0.002) Batch 0.444 (0.493) Remain 02:58:52 loss: 0.6759 Lr: 4.33956e-03 [2025-03-11 02:42:22,287 INFO hook.py line 566 2389709] Train: [28/100][200/300] Data 0.003 (0.002) Batch 0.449 (0.491) Remain 02:57:35 loss: 0.7430 Lr: 4.33020e-03 [2025-03-11 02:42:47,212 INFO hook.py line 566 2389709] Train: [28/100][250/300] Data 0.002 (0.002) Batch 0.507 (0.493) Remain 02:57:43 loss: 0.8130 Lr: 4.32079e-03 [2025-03-11 02:43:11,322 INFO hook.py line 566 2389709] Train: [28/100][300/300] Data 0.002 (0.002) Batch 0.458 (0.491) Remain 02:56:41 loss: 0.7485 Lr: 4.31132e-03 [2025-03-11 02:43:11,322 INFO misc.py line 135 2389709] Train result: loss: 0.8932 [2025-03-11 02:43:11,422 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 02:44:02,238 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5274 [2025-03-11 02:44:02,279 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2339 [2025-03-11 02:44:02,326 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6599 [2025-03-11 02:44:02,377 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.6044 [2025-03-11 02:44:02,416 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.1368 [2025-03-11 02:44:02,474 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.3261 [2025-03-11 02:44:02,525 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8077 [2025-03-11 02:44:02,561 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.5254 [2025-03-11 02:44:02,609 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1717 [2025-03-11 02:44:02,644 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.3172 [2025-03-11 02:44:02,693 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2926 [2025-03-11 02:44:02,730 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.8806 [2025-03-11 02:44:02,778 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.2559 [2025-03-11 02:44:02,818 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.6262 [2025-03-11 02:44:02,863 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1297 [2025-03-11 02:44:02,920 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.4158 [2025-03-11 02:44:02,968 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.0281 [2025-03-11 02:44:03,006 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.7543 [2025-03-11 02:44:03,051 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.3408 [2025-03-11 02:44:03,101 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6284 [2025-03-11 02:44:03,144 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.5990 [2025-03-11 02:44:03,195 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7805 [2025-03-11 02:44:03,230 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3085 [2025-03-11 02:44:03,285 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0597 [2025-03-11 02:44:03,331 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.2905 [2025-03-11 02:44:03,385 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.0411 [2025-03-11 02:44:03,442 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.4873 [2025-03-11 02:44:03,482 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7941 [2025-03-11 02:44:03,520 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.8505 [2025-03-11 02:44:03,575 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.2092 [2025-03-11 02:44:03,633 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6043 [2025-03-11 02:44:03,668 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4436 [2025-03-11 02:44:03,725 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.1373 [2025-03-11 02:44:03,767 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.5835 [2025-03-11 02:44:03,805 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3052 [2025-03-11 02:44:03,846 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2900 [2025-03-11 02:44:03,884 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.2558 [2025-03-11 02:44:03,924 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8827 [2025-03-11 02:44:03,991 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.7024 [2025-03-11 02:44:04,045 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5610 [2025-03-11 02:44:04,103 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1175 [2025-03-11 02:44:04,135 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5174 [2025-03-11 02:44:04,172 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2002 [2025-03-11 02:44:04,232 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8904 [2025-03-11 02:44:04,268 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.6074 [2025-03-11 02:44:04,317 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9911 [2025-03-11 02:44:04,355 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8868 [2025-03-11 02:44:04,390 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0117 [2025-03-11 02:44:04,423 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.2535 [2025-03-11 02:44:04,456 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.6352 [2025-03-11 02:44:04,485 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.1420 [2025-03-11 02:44:04,521 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6009 [2025-03-11 02:44:04,555 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3688 [2025-03-11 02:44:04,592 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.3817 [2025-03-11 02:44:04,633 INFO hook.py line 748 2389709] Test: [55/78] Loss 0.9316 [2025-03-11 02:44:04,673 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.3071 [2025-03-11 02:44:04,708 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.6040 [2025-03-11 02:44:04,745 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2638 [2025-03-11 02:44:04,790 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.6917 [2025-03-11 02:44:04,826 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5801 [2025-03-11 02:44:04,850 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9025 [2025-03-11 02:44:04,885 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1102 [2025-03-11 02:44:04,922 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0727 [2025-03-11 02:44:04,979 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6108 [2025-03-11 02:44:05,007 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1935 [2025-03-11 02:44:05,056 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.4818 [2025-03-11 02:44:05,095 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1082 [2025-03-11 02:44:05,135 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9342 [2025-03-11 02:44:05,173 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3358 [2025-03-11 02:44:05,239 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7820 [2025-03-11 02:44:05,282 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7709 [2025-03-11 02:44:05,336 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5381 [2025-03-11 02:44:05,389 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.9137 [2025-03-11 02:44:05,438 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.4622 [2025-03-11 02:44:05,493 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6269 [2025-03-11 02:44:05,525 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7348 [2025-03-11 02:44:05,584 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6859 [2025-03-11 02:44:05,611 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.1958 [2025-03-11 02:44:06,880 INFO hook.py line 674 2389709] ######################################## [2025-03-11 02:44:06,880 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 02:44:06,880 INFO hook.py line 680 2389709] ######################################## [2025-03-11 02:44:06,880 INFO hook.py line 689 2389709] wall : 0.7795 0.9160 [2025-03-11 02:44:06,880 INFO hook.py line 689 2389709] chair : 0.7426 0.8872 [2025-03-11 02:44:06,880 INFO hook.py line 689 2389709] floor : 0.9554 0.9827 [2025-03-11 02:44:06,880 INFO hook.py line 689 2389709] table : 0.6060 0.6960 [2025-03-11 02:44:06,880 INFO hook.py line 689 2389709] door : 0.6246 0.7225 [2025-03-11 02:44:06,880 INFO hook.py line 689 2389709] couch : 0.7339 0.9440 [2025-03-11 02:44:06,880 INFO hook.py line 689 2389709] cabinet : 0.3207 0.4890 [2025-03-11 02:44:06,880 INFO hook.py line 689 2389709] shelf : 0.3907 0.5351 [2025-03-11 02:44:06,880 INFO hook.py line 689 2389709] desk : 0.5522 0.7512 [2025-03-11 02:44:06,880 INFO hook.py line 689 2389709] office chair : 0.0413 0.0447 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] bed : 0.7380 0.8384 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] pillow : 0.4935 0.7060 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] sink : 0.6054 0.7182 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] picture : 0.3346 0.4062 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] window : 0.4976 0.6497 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] toilet : 0.9248 0.9675 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] bookshelf : 0.4787 0.5917 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] monitor : 0.8421 0.8946 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] curtain : 0.6848 0.8329 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] book : 0.3811 0.5836 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] armchair : 0.4460 0.6599 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] coffee table : 0.5233 0.5939 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] box : 0.2854 0.4844 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] refrigerator : 0.6434 0.7610 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] lamp : 0.6329 0.6775 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] kitchen cabinet: 0.6891 0.7890 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] towel : 0.4084 0.4500 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] clothes : 0.1688 0.4565 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] tv : 0.7871 0.8043 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] nightstand : 0.6272 0.7362 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] counter : 0.2467 0.3046 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] dresser : 0.4404 0.6212 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] stool : 0.4785 0.5820 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] plant : 0.6856 0.7290 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] ceiling : 0.9178 0.9497 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] bathtub : 0.8556 0.8968 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] end table : 0.0657 0.0826 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] dining table : 0.0459 0.0525 [2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] keyboard : 0.4046 0.5928 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] bag : 0.1599 0.2017 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] backpack : 0.5413 0.6085 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] toilet paper : 0.4311 0.4988 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] printer : 0.3519 0.4468 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] tv stand : 0.6005 0.8323 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] whiteboard : 0.4545 0.5720 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] blanket : 0.0501 0.0703 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] shower curtain : 0.5712 0.6135 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] trash can : 0.6405 0.8119 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] closet : 0.0825 0.1077 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] stairs : 0.5174 0.6760 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] microwave : 0.5294 0.7239 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] stove : 0.6186 0.8286 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] shoe : 0.4467 0.5490 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] computer tower : 0.4400 0.8186 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] bottle : 0.1810 0.4177 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] ottoman : 0.2917 0.5357 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] bench : 0.3108 0.4166 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] board : 0.0853 0.2911 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] washing machine: 0.8450 0.9176 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] mirror : 0.3459 0.4412 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] copier : 0.7839 0.8721 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] sofa chair : 0.1734 0.3908 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] file cabinet : 0.4963 0.7049 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] fan : 0.3107 0.3494 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] laptop : 0.4549 0.7030 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] shower : 0.3646 0.4491 [2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] paper : 0.0435 0.1031 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] person : 0.0807 0.5776 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] paper towel dispenser: 0.5831 0.8039 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] oven : 0.0161 0.0172 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] blinds : 0.0001 0.0001 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] blackboard : 0.5563 0.6296 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] piano : 0.3629 0.7413 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] suitcase : 0.3572 0.8698 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] rail : 0.0496 0.0535 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] radiator : 0.5902 0.6630 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] recycling bin : 0.4654 0.4992 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] wardrobe : 0.1591 0.4990 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] soap dispenser : 0.7204 0.9054 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] telephone : 0.2543 0.3341 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] bucket : 0.2464 0.3639 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] clock : 0.1879 0.2363 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] light : 0.0051 0.0061 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] laundry basket : 0.0949 0.0985 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] pipe : 0.0533 0.0785 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] clothes dryer : 0.6602 0.6858 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] guitar : 0.0379 0.0440 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] seat : 0.0262 0.0318 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] column : 0.0975 0.2258 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] ladder : 0.5161 0.6541 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] bathroom stall : 0.4892 0.7831 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] shower wall : 0.5350 0.7098 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] cup : 0.1797 0.4095 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] jacket : 0.1695 0.2737 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] storage bin : 0.0613 0.0729 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] coffee maker : 0.6937 0.9836 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] dishwasher : 0.2985 0.4826 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] paper towel roll: 0.1053 0.1178 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] mat : 0.0947 0.0986 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] windowsill : 0.1133 0.1219 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] bar : 0.1319 0.2312 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] toaster : 0.0050 0.0131 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] bulletin board : 0.2442 0.2808 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] ironing board : 0.1099 0.1640 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] fireplace : 0.2792 0.2837 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] soap dish : 0.3540 0.4510 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] kitchen counter: 0.5861 0.7892 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] doorframe : 0.3555 0.4466 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3083 0.4169 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] mini fridge : 0.2569 0.4367 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] fire extinguisher: 0.0255 0.0688 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] ball : 0.6071 0.7145 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] hat : 0.0421 0.1257 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] shower curtain rod: 0.2783 0.8690 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] water cooler : 0.4190 0.4295 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] paper cutter : 0.1928 0.2089 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] tray : 0.0177 0.0203 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] shower door : 0.2307 0.3607 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] pillar : 0.0004 0.0005 [2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] ledge : 0.0065 0.0069 [2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] mouse : 0.0952 0.4521 [2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.4526 0.7879 [2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] furniture : 0.0001 0.0001 [2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] cart : 0.0471 0.0482 [2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] scale : 0.3099 0.9582 [2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] tissue box : 0.1185 0.1530 [2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] light switch : 0.0696 0.2355 [2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] power outlet : 0.0202 0.0219 [2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] decoration : 0.2836 0.4475 [2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] projector : 0.3252 0.8744 [2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] closet door : 0.1396 0.1452 [2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] vacuum cleaner : 0.7754 0.8474 [2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] plunger : 0.7418 0.8722 [2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] headphones : 0.0299 0.0607 [2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] dish rack : 0.4897 0.9195 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] broom : 0.0352 0.0419 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] range hood : 0.6042 0.7231 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] dustpan : 0.0764 0.1474 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] handicap bar : 0.0467 0.4327 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] vent : 0.0003 0.0019 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] shower floor : 0.6215 0.9834 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] mailbox : 0.4464 0.4561 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] bowl : 0.0302 0.0415 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] paper bag : 0.0494 0.1171 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] projector screen: 0.0136 0.0179 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] divider : 0.4351 0.5607 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] bathroom counter: 0.3061 0.3718 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] object : 0.0289 0.1036 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] bathroom vanity: 0.4989 0.7182 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] closet wall : 0.0975 0.1266 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] laundry hamper : 0.2189 0.4544 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] bathroom stall door: 0.5726 0.8392 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] ceiling light : 0.3257 0.5618 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] trash bin : 0.2133 0.2463 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] dumbbell : 0.8294 0.9844 [2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] stair rail : 0.0853 0.1157 [2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] tube : 0.0851 0.1903 [2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] bathroom cabinet: 0.3827 0.4873 [2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] closet rod : 0.4260 0.7629 [2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] shower head : 0.2936 0.3443 [2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] coat rack : 0.0011 0.0024 [2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] mattress : 0.0178 0.0187 [2025-03-11 02:44:06,890 INFO hook.py line 690 2389709] ######################################## [2025-03-11 02:44:06,890 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2808/0.3820/0.8045. [2025-03-11 02:44:06,891 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 02:44:06,907 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2808 [2025-03-11 02:44:06,907 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2808 [2025-03-11 02:44:06,907 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 02:44:37,296 INFO hook.py line 566 2389709] Train: [29/100][50/300] Data 0.002 (0.003) Batch 0.508 (0.493) Remain 02:56:55 loss: 0.7752 Lr: 4.30180e-03 [2025-03-11 02:45:01,534 INFO hook.py line 566 2389709] Train: [29/100][100/300] Data 0.002 (0.002) Batch 0.509 (0.489) Remain 02:55:04 loss: 0.8889 Lr: 4.29222e-03 [2025-03-11 02:45:26,069 INFO hook.py line 566 2389709] Train: [29/100][150/300] Data 0.002 (0.002) Batch 0.475 (0.489) Remain 02:54:55 loss: 1.1379 Lr: 4.28259e-03 [2025-03-11 02:45:50,345 INFO hook.py line 566 2389709] Train: [29/100][200/300] Data 0.003 (0.002) Batch 0.532 (0.488) Remain 02:54:10 loss: 1.1264 Lr: 4.27290e-03 [2025-03-11 02:46:14,629 INFO hook.py line 566 2389709] Train: [29/100][250/300] Data 0.002 (0.002) Batch 0.460 (0.488) Remain 02:53:34 loss: 0.9354 Lr: 4.26316e-03 [2025-03-11 02:46:38,296 INFO hook.py line 566 2389709] Train: [29/100][300/300] Data 0.001 (0.002) Batch 0.452 (0.485) Remain 02:52:18 loss: 0.9516 Lr: 4.25336e-03 [2025-03-11 02:46:38,297 INFO misc.py line 135 2389709] Train result: loss: 0.8980 [2025-03-11 02:46:38,395 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 02:47:32,472 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.7363 [2025-03-11 02:47:32,586 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3716 [2025-03-11 02:47:32,638 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5753 [2025-03-11 02:47:32,698 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.3898 [2025-03-11 02:47:32,734 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0963 [2025-03-11 02:47:32,791 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1383 [2025-03-11 02:47:32,846 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9967 [2025-03-11 02:47:32,874 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2762 [2025-03-11 02:47:32,920 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2433 [2025-03-11 02:47:32,954 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.4479 [2025-03-11 02:47:33,006 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.0613 [2025-03-11 02:47:33,040 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0987 [2025-03-11 02:47:33,091 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.4310 [2025-03-11 02:47:33,137 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.0081 [2025-03-11 02:47:33,181 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.6976 [2025-03-11 02:47:33,234 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.3177 [2025-03-11 02:47:33,273 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1664 [2025-03-11 02:47:33,314 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0434 [2025-03-11 02:47:33,357 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2980 [2025-03-11 02:47:33,402 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.2968 [2025-03-11 02:47:33,438 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.8049 [2025-03-11 02:47:33,480 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7990 [2025-03-11 02:47:33,510 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4176 [2025-03-11 02:47:33,559 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1439 [2025-03-11 02:47:33,608 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.8650 [2025-03-11 02:47:33,658 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1032 [2025-03-11 02:47:33,712 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6677 [2025-03-11 02:47:33,748 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.9332 [2025-03-11 02:47:33,781 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0057 [2025-03-11 02:47:33,842 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.3461 [2025-03-11 02:47:33,900 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4595 [2025-03-11 02:47:33,934 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1921 [2025-03-11 02:47:33,997 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.0470 [2025-03-11 02:47:34,037 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.7755 [2025-03-11 02:47:34,075 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.5280 [2025-03-11 02:47:34,123 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5200 [2025-03-11 02:47:34,171 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.9352 [2025-03-11 02:47:34,202 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7677 [2025-03-11 02:47:34,271 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.9194 [2025-03-11 02:47:34,318 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.2440 [2025-03-11 02:47:34,367 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2721 [2025-03-11 02:47:34,401 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5346 [2025-03-11 02:47:34,450 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3784 [2025-03-11 02:47:34,508 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0013 [2025-03-11 02:47:34,554 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.3395 [2025-03-11 02:47:34,608 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2243 [2025-03-11 02:47:34,649 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8933 [2025-03-11 02:47:34,684 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0967 [2025-03-11 02:47:34,716 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.5101 [2025-03-11 02:47:34,749 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.6940 [2025-03-11 02:47:34,780 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.8557 [2025-03-11 02:47:34,815 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6181 [2025-03-11 02:47:34,843 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.6836 [2025-03-11 02:47:34,882 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.1550 [2025-03-11 02:47:34,921 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3598 [2025-03-11 02:47:34,967 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0353 [2025-03-11 02:47:35,000 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.5993 [2025-03-11 02:47:35,029 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.0757 [2025-03-11 02:47:35,067 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8436 [2025-03-11 02:47:35,104 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7256 [2025-03-11 02:47:35,132 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.1029 [2025-03-11 02:47:35,168 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0803 [2025-03-11 02:47:35,205 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0038 [2025-03-11 02:47:35,266 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8245 [2025-03-11 02:47:35,296 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2469 [2025-03-11 02:47:35,339 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7019 [2025-03-11 02:47:35,379 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1906 [2025-03-11 02:47:35,416 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0071 [2025-03-11 02:47:35,447 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.5419 [2025-03-11 02:47:35,509 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.6956 [2025-03-11 02:47:35,557 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8139 [2025-03-11 02:47:35,612 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9126 [2025-03-11 02:47:35,670 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7245 [2025-03-11 02:47:35,715 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.1487 [2025-03-11 02:47:35,767 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.2879 [2025-03-11 02:47:35,796 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9789 [2025-03-11 02:47:35,856 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5436 [2025-03-11 02:47:35,883 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.1610 [2025-03-11 02:47:37,283 INFO hook.py line 674 2389709] ######################################## [2025-03-11 02:47:37,283 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 02:47:37,283 INFO hook.py line 680 2389709] ######################################## [2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] wall : 0.7716 0.8996 [2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] chair : 0.5966 0.6609 [2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] floor : 0.9566 0.9752 [2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] table : 0.6215 0.8065 [2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] door : 0.6274 0.7686 [2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] couch : 0.7878 0.8424 [2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] cabinet : 0.3121 0.4565 [2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] shelf : 0.4345 0.6776 [2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] desk : 0.5401 0.6584 [2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] office chair : 0.2643 0.8804 [2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] bed : 0.7649 0.8992 [2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] pillow : 0.5246 0.7768 [2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] sink : 0.5731 0.8103 [2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] picture : 0.3639 0.5202 [2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] window : 0.5383 0.7129 [2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] toilet : 0.8475 0.8908 [2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] bookshelf : 0.3832 0.4196 [2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] monitor : 0.8429 0.9431 [2025-03-11 02:47:37,285 INFO hook.py line 689 2389709] curtain : 0.6308 0.7087 [2025-03-11 02:47:37,285 INFO hook.py line 689 2389709] book : 0.4490 0.6530 [2025-03-11 02:47:37,285 INFO hook.py line 689 2389709] armchair : 0.5599 0.8158 [2025-03-11 02:47:37,285 INFO hook.py line 689 2389709] coffee table : 0.5695 0.6481 [2025-03-11 02:47:37,285 INFO hook.py line 689 2389709] box : 0.3097 0.4916 [2025-03-11 02:47:37,285 INFO hook.py line 689 2389709] refrigerator : 0.7042 0.8144 [2025-03-11 02:47:37,285 INFO hook.py line 689 2389709] lamp : 0.6269 0.6758 [2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] kitchen cabinet: 0.6518 0.7253 [2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] towel : 0.3965 0.4907 [2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] clothes : 0.1948 0.3319 [2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] tv : 0.8130 0.8575 [2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] nightstand : 0.6243 0.8400 [2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] counter : 0.2533 0.4766 [2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] dresser : 0.3200 0.4335 [2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] stool : 0.4527 0.6967 [2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] plant : 0.6298 0.9157 [2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] ceiling : 0.9112 0.9568 [2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] bathtub : 0.8723 0.9376 [2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] end table : 0.1106 0.1264 [2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] dining table : 0.0038 0.0038 [2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] keyboard : 0.3767 0.5845 [2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] bag : 0.1644 0.2814 [2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] backpack : 0.5508 0.6724 [2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] toilet paper : 0.3728 0.5630 [2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] printer : 0.4282 0.5031 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] tv stand : 0.4325 0.8157 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] whiteboard : 0.4441 0.7101 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] blanket : 0.0065 0.0089 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] shower curtain : 0.6384 0.7428 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] trash can : 0.5870 0.8361 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] closet : 0.0573 0.0647 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] stairs : 0.2164 0.8313 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] microwave : 0.3857 0.8041 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] stove : 0.6250 0.8082 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] shoe : 0.4396 0.7756 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] computer tower : 0.6025 0.7117 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] bottle : 0.1494 0.4449 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] bin : 0.0178 0.0456 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] ottoman : 0.3620 0.5643 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] bench : 0.1400 0.1472 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] board : 0.1792 0.2777 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] washing machine: 0.6958 0.7791 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] mirror : 0.3237 0.5291 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] copier : 0.8197 0.9060 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] sofa chair : 0.1316 0.2013 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] file cabinet : 0.4838 0.5914 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] fan : 0.1984 0.2932 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] laptop : 0.3301 0.6243 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] shower : 0.3034 0.4637 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] paper : 0.0305 0.0367 [2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] person : 0.2160 0.5381 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] paper towel dispenser: 0.4210 0.8766 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] oven : 0.0545 0.0686 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] blackboard : 0.6025 0.7245 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] piano : 0.3388 0.4022 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] suitcase : 0.5724 0.5953 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] rail : 0.0374 0.0423 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] radiator : 0.5585 0.6617 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] recycling bin : 0.4900 0.5714 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] container : 0.0390 0.2361 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] wardrobe : 0.2113 0.2385 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] soap dispenser : 0.7714 0.8760 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] telephone : 0.2266 0.4525 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] bucket : 0.2452 0.4786 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] clock : 0.2197 0.2573 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] stand : 0.0986 0.3820 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] light : 0.1281 0.1728 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] laundry basket : 0.0026 0.0027 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] pipe : 0.0776 0.1063 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] clothes dryer : 0.5530 0.6897 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] guitar : 0.1756 0.6084 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] seat : 0.0004 0.0005 [2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] column : 0.0524 0.0876 [2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] ladder : 0.4194 0.6023 [2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] bathroom stall : 0.3620 0.4876 [2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] shower wall : 0.5013 0.6620 [2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] cup : 0.1216 0.4229 [2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] jacket : 0.2096 0.3632 [2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] storage bin : 0.0536 0.0605 [2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] coffee maker : 0.4616 0.9931 [2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] dishwasher : 0.4186 0.5394 [2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] paper towel roll: 0.4009 0.5757 [2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] mat : 0.1420 0.1452 [2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] windowsill : 0.3136 0.5032 [2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] bar : 0.0461 0.2546 [2025-03-11 02:47:37,290 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 02:47:37,290 INFO hook.py line 689 2389709] bulletin board : 0.2022 0.2635 [2025-03-11 02:47:37,290 INFO hook.py line 689 2389709] ironing board : 0.0644 0.0694 [2025-03-11 02:47:37,290 INFO hook.py line 689 2389709] fireplace : 0.5725 0.6846 [2025-03-11 02:47:37,290 INFO hook.py line 689 2389709] soap dish : 0.2967 0.4332 [2025-03-11 02:47:37,290 INFO hook.py line 689 2389709] kitchen counter: 0.4412 0.5245 [2025-03-11 02:47:37,290 INFO hook.py line 689 2389709] doorframe : 0.3827 0.5719 [2025-03-11 02:47:37,290 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3228 0.4614 [2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] mini fridge : 0.1778 0.1959 [2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] fire extinguisher: 0.1278 0.2126 [2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] ball : 0.7783 0.9510 [2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] shower curtain rod: 0.3121 0.8184 [2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] water cooler : 0.7390 0.8956 [2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] paper cutter : 0.2218 0.2867 [2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] tray : 0.0478 0.0917 [2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] shower door : 0.1103 0.3998 [2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] pillar : 0.0722 0.1097 [2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] ledge : 0.0606 0.0834 [2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] toaster oven : 0.0056 0.0057 [2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] mouse : 0.0580 0.4113 [2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5329 0.7280 [2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] cart : 0.2194 0.3042 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] scale : 0.1728 0.9728 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] tissue box : 0.2037 0.3500 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] light switch : 0.0046 0.0250 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] decoration : 0.0536 0.1822 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] sign : 0.0108 0.0115 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] projector : 0.0799 0.2857 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] closet door : 0.1974 0.2343 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] vacuum cleaner : 0.7552 0.9771 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] plunger : 0.3311 0.9711 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] headphones : 0.0302 0.1463 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] dish rack : 0.5087 0.9469 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] broom : 0.0220 0.0525 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] range hood : 0.7392 0.8508 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] dustpan : 0.1042 0.2534 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] hair dryer : 0.0003 0.0020 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] water bottle : 0.0122 0.0538 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] handicap bar : 0.0674 0.6609 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] vent : 0.0003 0.0075 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] shower floor : 0.3932 0.9806 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] water pitcher : 0.0004 0.0056 [2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] mailbox : 0.4017 0.4113 [2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] bowl : 0.0005 0.0008 [2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] paper bag : 0.1162 0.1328 [2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] divider : 0.4437 0.5416 [2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] bathroom counter: 0.1993 0.2310 [2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] object : 0.0331 0.0492 [2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] bathroom vanity: 0.3729 0.8163 [2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] closet wall : 0.1112 0.1801 [2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] laundry hamper : 0.0843 0.1222 [2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] bathroom stall door: 0.4653 0.7598 [2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] ceiling light : 0.2934 0.4125 [2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] trash bin : 0.2482 0.7139 [2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] dumbbell : 0.1258 0.9720 [2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] stair rail : 0.1583 0.3084 [2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] tube : 0.0825 0.0904 [2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] bathroom cabinet: 0.1511 0.2745 [2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] closet rod : 0.2613 0.8683 [2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] coffee kettle : 0.0334 0.0581 [2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] shower head : 0.1685 0.2142 [2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] calendar : 0.0001 0.0014 [2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] mattress : 0.0021 0.0021 [2025-03-11 02:47:37,294 INFO hook.py line 690 2389709] ######################################## [2025-03-11 02:47:37,294 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2703/0.4006/0.7963. [2025-03-11 02:47:37,296 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 02:47:37,312 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2808 [2025-03-11 02:47:37,313 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 02:48:07,072 INFO hook.py line 566 2389709] Train: [30/100][50/300] Data 0.002 (0.002) Batch 0.500 (0.486) Remain 02:52:15 loss: 1.1112 Lr: 4.24352e-03 [2025-03-11 02:48:31,126 INFO hook.py line 566 2389709] Train: [30/100][100/300] Data 0.003 (0.002) Batch 0.428 (0.484) Remain 02:50:53 loss: 1.0745 Lr: 4.23361e-03 [2025-03-11 02:48:55,549 INFO hook.py line 566 2389709] Train: [30/100][150/300] Data 0.003 (0.002) Batch 0.502 (0.485) Remain 02:51:03 loss: 1.0196 Lr: 4.22366e-03 [2025-03-11 02:49:20,403 INFO hook.py line 566 2389709] Train: [30/100][200/300] Data 0.002 (0.002) Batch 0.476 (0.488) Remain 02:51:42 loss: 0.6666 Lr: 4.21365e-03 [2025-03-11 02:49:45,334 INFO hook.py line 566 2389709] Train: [30/100][250/300] Data 0.002 (0.002) Batch 0.485 (0.490) Remain 02:52:02 loss: 0.7814 Lr: 4.20360e-03 [2025-03-11 02:50:09,902 INFO hook.py line 566 2389709] Train: [30/100][300/300] Data 0.002 (0.002) Batch 0.468 (0.491) Remain 02:51:41 loss: 0.8018 Lr: 4.19349e-03 [2025-03-11 02:50:09,903 INFO misc.py line 135 2389709] Train result: loss: 0.8785 [2025-03-11 02:50:10,002 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 02:50:59,619 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5868 [2025-03-11 02:50:59,665 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.9269 [2025-03-11 02:50:59,703 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6230 [2025-03-11 02:50:59,755 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.7053 [2025-03-11 02:50:59,792 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0393 [2025-03-11 02:50:59,855 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8277 [2025-03-11 02:50:59,913 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9203 [2025-03-11 02:50:59,942 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.6079 [2025-03-11 02:50:59,990 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3993 [2025-03-11 02:51:00,035 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.3241 [2025-03-11 02:51:00,091 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3544 [2025-03-11 02:51:00,132 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.4215 [2025-03-11 02:51:00,181 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.7370 [2025-03-11 02:51:00,225 INFO hook.py line 748 2389709] Test: [14/78] Loss 2.9703 [2025-03-11 02:51:00,264 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2262 [2025-03-11 02:51:00,316 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.2838 [2025-03-11 02:51:00,360 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.0649 [2025-03-11 02:51:00,396 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0863 [2025-03-11 02:51:00,454 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2384 [2025-03-11 02:51:00,500 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.8128 [2025-03-11 02:51:00,548 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6830 [2025-03-11 02:51:00,603 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8046 [2025-03-11 02:51:00,640 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4730 [2025-03-11 02:51:00,689 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.3028 [2025-03-11 02:51:00,732 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.2684 [2025-03-11 02:51:00,775 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.3729 [2025-03-11 02:51:00,829 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.5895 [2025-03-11 02:51:00,870 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5597 [2025-03-11 02:51:00,908 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.7049 [2025-03-11 02:51:00,969 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5400 [2025-03-11 02:51:01,028 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4913 [2025-03-11 02:51:01,070 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0406 [2025-03-11 02:51:01,131 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.0294 [2025-03-11 02:51:01,172 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.6556 [2025-03-11 02:51:01,210 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2204 [2025-03-11 02:51:01,257 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3287 [2025-03-11 02:51:01,309 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.7844 [2025-03-11 02:51:01,357 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9081 [2025-03-11 02:51:01,424 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.8273 [2025-03-11 02:51:01,481 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6700 [2025-03-11 02:51:01,529 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3763 [2025-03-11 02:51:01,573 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.6894 [2025-03-11 02:51:01,620 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3345 [2025-03-11 02:51:01,677 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0120 [2025-03-11 02:51:01,719 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.5071 [2025-03-11 02:51:01,772 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1494 [2025-03-11 02:51:01,813 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.1047 [2025-03-11 02:51:01,848 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0601 [2025-03-11 02:51:01,883 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3830 [2025-03-11 02:51:01,921 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.0648 [2025-03-11 02:51:01,955 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9893 [2025-03-11 02:51:01,992 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5741 [2025-03-11 02:51:02,023 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1483 [2025-03-11 02:51:02,063 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.5863 [2025-03-11 02:51:02,106 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3179 [2025-03-11 02:51:02,146 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8986 [2025-03-11 02:51:02,184 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.7843 [2025-03-11 02:51:02,214 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2349 [2025-03-11 02:51:02,255 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9237 [2025-03-11 02:51:02,296 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5006 [2025-03-11 02:51:02,325 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9443 [2025-03-11 02:51:02,365 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9094 [2025-03-11 02:51:02,401 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2927 [2025-03-11 02:51:02,458 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.3979 [2025-03-11 02:51:02,490 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2561 [2025-03-11 02:51:02,538 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.5670 [2025-03-11 02:51:02,577 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9823 [2025-03-11 02:51:02,618 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.3978 [2025-03-11 02:51:02,654 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4431 [2025-03-11 02:51:02,722 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0073 [2025-03-11 02:51:02,766 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.3872 [2025-03-11 02:51:02,823 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.8611 [2025-03-11 02:51:02,881 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7837 [2025-03-11 02:51:02,929 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.7087 [2025-03-11 02:51:02,984 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.4922 [2025-03-11 02:51:03,016 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.8458 [2025-03-11 02:51:03,077 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6056 [2025-03-11 02:51:03,104 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.0307 [2025-03-11 02:51:04,469 INFO hook.py line 674 2389709] ######################################## [2025-03-11 02:51:04,469 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 02:51:04,469 INFO hook.py line 680 2389709] ######################################## [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] wall : 0.7761 0.8799 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] chair : 0.6932 0.8369 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] floor : 0.9552 0.9831 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] table : 0.6159 0.7284 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] door : 0.5884 0.7955 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] couch : 0.7675 0.9105 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] cabinet : 0.2128 0.2503 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] shelf : 0.3335 0.4298 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] desk : 0.5337 0.6691 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] office chair : 0.3083 0.5909 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] bed : 0.7565 0.8824 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] pillow : 0.4801 0.7231 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] sink : 0.6221 0.7543 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] picture : 0.3598 0.4404 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] window : 0.5032 0.7566 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] toilet : 0.8912 0.9649 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] bookshelf : 0.4617 0.7179 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] monitor : 0.8202 0.9155 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] curtain : 0.5691 0.9093 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] book : 0.4155 0.7142 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] armchair : 0.4879 0.6785 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] coffee table : 0.5262 0.7068 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] box : 0.1200 0.1269 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] refrigerator : 0.5156 0.7344 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] lamp : 0.6410 0.7615 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] kitchen cabinet: 0.6225 0.8494 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] towel : 0.3456 0.6730 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] clothes : 0.1892 0.3902 [2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] tv : 0.8103 0.9149 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] nightstand : 0.6896 0.7615 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] counter : 0.2373 0.2979 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] dresser : 0.4387 0.5352 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] stool : 0.5288 0.6687 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] plant : 0.5957 0.8160 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] ceiling : 0.9227 0.9537 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] bathtub : 0.8379 0.8742 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] end table : 0.3584 0.5260 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] dining table : 0.1025 0.2481 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] keyboard : 0.3719 0.6058 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] bag : 0.0755 0.0921 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] backpack : 0.5178 0.6197 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] toilet paper : 0.4445 0.6081 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] printer : 0.4064 0.5223 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] tv stand : 0.6042 0.8464 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] whiteboard : 0.4899 0.6933 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] blanket : 0.0329 0.0438 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] shower curtain : 0.5160 0.6709 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] trash can : 0.5680 0.8499 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] closet : 0.0498 0.0536 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] stairs : 0.5227 0.5568 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] microwave : 0.5084 0.6187 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] stove : 0.4643 0.5959 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] shoe : 0.3534 0.3749 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] computer tower : 0.5817 0.7459 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] bottle : 0.1495 0.4527 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] bin : 0.0004 0.0004 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] ottoman : 0.3230 0.7838 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] bench : 0.2295 0.2589 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] board : 0.1659 0.2963 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] washing machine: 0.7884 0.8772 [2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] mirror : 0.3527 0.4307 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] copier : 0.6433 0.8600 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] basket : 0.0015 0.0110 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] sofa chair : 0.0229 0.0264 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] file cabinet : 0.4263 0.5641 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] fan : 0.2554 0.3336 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] laptop : 0.4740 0.5627 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] shower : 0.0751 0.0754 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] paper : 0.0153 0.0177 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] person : 0.0998 0.3611 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] paper towel dispenser: 0.5574 0.7438 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] oven : 0.0271 0.0281 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] blinds : 0.0920 0.1655 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] plate : 0.0293 0.1711 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] blackboard : 0.5855 0.6093 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] piano : 0.4373 0.4420 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] suitcase : 0.7045 0.7701 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] rail : 0.0240 0.0254 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] radiator : 0.5760 0.7045 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] recycling bin : 0.4489 0.5504 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] container : 0.0304 0.0517 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] wardrobe : 0.1243 0.1398 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] soap dispenser : 0.6500 0.9107 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] telephone : 0.2529 0.4676 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] bucket : 0.2789 0.4488 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] clock : 0.2499 0.3450 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] light : 0.0313 0.0353 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] laundry basket : 0.0239 0.0454 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] pipe : 0.0311 0.0340 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] clothes dryer : 0.3946 0.4123 [2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] guitar : 0.4087 0.7382 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] seat : 0.0082 0.0113 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] column : 0.0656 0.1112 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] ladder : 0.3705 0.7257 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] bathroom stall : 0.3526 0.4779 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] shower wall : 0.5333 0.6744 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] cup : 0.2262 0.4720 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] jacket : 0.2167 0.2803 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] storage bin : 0.0502 0.0513 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] coffee maker : 0.5816 0.9796 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] dishwasher : 0.2577 0.6628 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] paper towel roll: 0.2551 0.2828 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] mat : 0.1091 0.1213 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] windowsill : 0.1509 0.1741 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] bar : 0.1197 0.2476 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] bulletin board : 0.2196 0.3450 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] ironing board : 0.1463 0.2922 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] fireplace : 0.4823 0.5024 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] soap dish : 0.3540 0.4751 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] kitchen counter: 0.5098 0.7377 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] doorframe : 0.3674 0.6211 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3008 0.3833 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] mini fridge : 0.1955 0.2141 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] ball : 0.4797 0.9318 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] shower curtain rod: 0.1044 0.8696 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] water cooler : 0.3498 0.4360 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] paper cutter : 0.2019 0.2942 [2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] tray : 0.0086 0.0150 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] shower door : 0.0625 0.0721 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] pillar : 0.0843 0.0850 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] ledge : 0.0787 0.0964 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] toaster oven : 0.2067 0.2139 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] mouse : 0.0496 0.6396 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5905 0.8273 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] furniture : 0.0000 0.0001 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] cart : 0.3172 0.3495 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] scale : 0.0000 0.0000 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] tissue box : 0.1426 0.1810 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] light switch : 0.0515 0.2615 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] crate : 0.0006 0.0007 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] power outlet : 0.0266 0.0424 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] decoration : 0.0042 0.0122 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] sign : 0.0096 0.0104 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] projector : 0.0940 1.0000 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] closet door : 0.0686 0.1023 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] vacuum cleaner : 0.4385 0.4905 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] plunger : 0.4024 0.9377 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] headphones : 0.0345 0.0707 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] dish rack : 0.4335 0.8943 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] broom : 0.0465 0.1792 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] range hood : 0.7387 0.8656 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] dustpan : 0.0288 0.0605 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] hair dryer : 0.0011 0.0020 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] handicap bar : 0.0290 0.3965 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] shower floor : 0.5136 0.9729 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] mailbox : 0.3503 0.3711 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] paper bag : 0.0528 0.0542 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] projector screen: 0.0190 0.0280 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] divider : 0.4660 0.5838 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] laundry detergent: 0.0038 0.0051 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] bathroom counter: 0.2721 0.3721 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] object : 0.0351 0.0694 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] bathroom vanity: 0.4180 0.6467 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] closet wall : 0.0088 0.0096 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] laundry hamper : 0.0853 0.1128 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] bathroom stall door: 0.3825 0.6881 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] ceiling light : 0.3046 0.3948 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] trash bin : 0.1871 0.2258 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] dumbbell : 0.5821 0.9561 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] stair rail : 0.1729 0.2405 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] tube : 0.0747 0.0958 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] bathroom cabinet: 0.2319 0.2560 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] closet rod : 0.2341 0.7013 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] coffee kettle : 0.2108 0.3924 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] shower head : 0.2252 0.2543 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] case of water bottles: 0.0153 0.0154 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] coat rack : 0.0359 0.4569 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 02:51:04,476 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 02:51:04,476 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 02:51:04,476 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 02:51:04,476 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 02:51:04,476 INFO hook.py line 689 2389709] mattress : 0.0199 0.0199 [2025-03-11 02:51:04,476 INFO hook.py line 690 2389709] ######################################## [2025-03-11 02:51:04,476 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2649/0.3786/0.7968. [2025-03-11 02:51:04,476 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 02:51:04,494 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2808 [2025-03-11 02:51:04,494 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 02:51:33,902 INFO hook.py line 566 2389709] Train: [31/100][50/300] Data 0.001 (0.002) Batch 0.427 (0.493) Remain 02:52:08 loss: 0.9723 Lr: 4.18333e-03 [2025-03-11 02:51:58,109 INFO hook.py line 566 2389709] Train: [31/100][100/300] Data 0.003 (0.002) Batch 0.423 (0.488) Remain 02:50:08 loss: 0.8596 Lr: 4.17311e-03 [2025-03-11 02:52:22,440 INFO hook.py line 566 2389709] Train: [31/100][150/300] Data 0.001 (0.002) Batch 0.447 (0.488) Remain 02:49:31 loss: 0.8242 Lr: 4.16285e-03 [2025-03-11 02:52:47,139 INFO hook.py line 566 2389709] Train: [31/100][200/300] Data 0.002 (0.002) Batch 0.482 (0.489) Remain 02:49:39 loss: 0.7697 Lr: 4.15254e-03 [2025-03-11 02:53:11,535 INFO hook.py line 566 2389709] Train: [31/100][250/300] Data 0.002 (0.002) Batch 0.470 (0.489) Remain 02:49:08 loss: 0.8337 Lr: 4.14217e-03 [2025-03-11 02:53:36,147 INFO hook.py line 566 2389709] Train: [31/100][300/300] Data 0.001 (0.002) Batch 0.515 (0.490) Remain 02:48:55 loss: 0.6647 Lr: 4.13176e-03 [2025-03-11 02:53:36,148 INFO misc.py line 135 2389709] Train result: loss: 0.8745 [2025-03-11 02:53:36,253 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 02:54:25,220 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5924 [2025-03-11 02:54:25,283 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.7260 [2025-03-11 02:54:25,330 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6659 [2025-03-11 02:54:25,379 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4091 [2025-03-11 02:54:25,425 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8706 [2025-03-11 02:54:25,483 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2578 [2025-03-11 02:54:25,551 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.0508 [2025-03-11 02:54:25,587 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.1918 [2025-03-11 02:54:25,639 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.5231 [2025-03-11 02:54:25,685 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2345 [2025-03-11 02:54:25,732 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3390 [2025-03-11 02:54:25,770 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.9708 [2025-03-11 02:54:25,834 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.1290 [2025-03-11 02:54:25,876 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.0569 [2025-03-11 02:54:25,918 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.9937 [2025-03-11 02:54:25,970 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1623 [2025-03-11 02:54:26,008 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4141 [2025-03-11 02:54:26,046 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0698 [2025-03-11 02:54:26,100 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5156 [2025-03-11 02:54:26,140 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4635 [2025-03-11 02:54:26,183 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7152 [2025-03-11 02:54:26,224 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.0781 [2025-03-11 02:54:26,267 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3930 [2025-03-11 02:54:26,320 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0007 [2025-03-11 02:54:26,376 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4599 [2025-03-11 02:54:26,427 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2546 [2025-03-11 02:54:26,485 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9889 [2025-03-11 02:54:26,526 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6134 [2025-03-11 02:54:26,572 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.8990 [2025-03-11 02:54:26,629 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.1821 [2025-03-11 02:54:26,688 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6423 [2025-03-11 02:54:26,727 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.5535 [2025-03-11 02:54:26,790 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.1013 [2025-03-11 02:54:26,833 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.9750 [2025-03-11 02:54:26,885 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1599 [2025-03-11 02:54:26,934 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3404 [2025-03-11 02:54:26,980 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.3021 [2025-03-11 02:54:27,010 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7142 [2025-03-11 02:54:27,080 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.9965 [2025-03-11 02:54:27,127 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5976 [2025-03-11 02:54:27,183 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.5661 [2025-03-11 02:54:27,219 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.6535 [2025-03-11 02:54:27,258 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.4418 [2025-03-11 02:54:27,320 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0181 [2025-03-11 02:54:27,370 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.6582 [2025-03-11 02:54:27,417 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.3464 [2025-03-11 02:54:27,458 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.2268 [2025-03-11 02:54:27,496 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0678 [2025-03-11 02:54:27,531 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.1166 [2025-03-11 02:54:27,564 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8350 [2025-03-11 02:54:27,596 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0331 [2025-03-11 02:54:27,635 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.2958 [2025-03-11 02:54:27,663 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.0585 [2025-03-11 02:54:27,702 INFO hook.py line 748 2389709] Test: [54/78] Loss 1.9860 [2025-03-11 02:54:27,740 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.0544 [2025-03-11 02:54:27,784 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.4160 [2025-03-11 02:54:27,817 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.4739 [2025-03-11 02:54:27,845 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1909 [2025-03-11 02:54:27,884 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7637 [2025-03-11 02:54:27,921 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7112 [2025-03-11 02:54:27,947 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9260 [2025-03-11 02:54:27,982 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0635 [2025-03-11 02:54:28,019 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.3131 [2025-03-11 02:54:28,079 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.5659 [2025-03-11 02:54:28,107 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1828 [2025-03-11 02:54:28,150 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.1878 [2025-03-11 02:54:28,189 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1673 [2025-03-11 02:54:28,224 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1394 [2025-03-11 02:54:28,255 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4221 [2025-03-11 02:54:28,316 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.9747 [2025-03-11 02:54:28,365 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5323 [2025-03-11 02:54:28,420 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.4414 [2025-03-11 02:54:28,473 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7325 [2025-03-11 02:54:28,516 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.1031 [2025-03-11 02:54:28,567 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.7489 [2025-03-11 02:54:28,596 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.6250 [2025-03-11 02:54:28,655 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6354 [2025-03-11 02:54:28,682 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9567 [2025-03-11 02:54:29,790 INFO hook.py line 674 2389709] ######################################## [2025-03-11 02:54:29,791 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 02:54:29,791 INFO hook.py line 680 2389709] ######################################## [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] wall : 0.7732 0.8986 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] chair : 0.7025 0.8894 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] floor : 0.9523 0.9801 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] table : 0.5916 0.6710 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] door : 0.6085 0.6778 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] couch : 0.7026 0.7700 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] cabinet : 0.3145 0.4949 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] shelf : 0.4114 0.6913 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] desk : 0.5179 0.8124 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] office chair : 0.1640 0.2147 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] bed : 0.7405 0.8013 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] pillow : 0.3865 0.8102 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] sink : 0.6189 0.7656 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] picture : 0.3447 0.4935 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] window : 0.5326 0.6840 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] toilet : 0.8863 0.9839 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] bookshelf : 0.4107 0.4666 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] monitor : 0.7912 0.9106 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] curtain : 0.6406 0.8339 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] book : 0.4043 0.5621 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] armchair : 0.4231 0.4783 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] coffee table : 0.5838 0.6630 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] box : 0.2483 0.3879 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] refrigerator : 0.5887 0.6025 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] lamp : 0.4853 0.8412 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] kitchen cabinet: 0.6388 0.7996 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] towel : 0.4138 0.5630 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] clothes : 0.1604 0.4537 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] tv : 0.7833 0.8613 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] nightstand : 0.5995 0.8388 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] counter : 0.1889 0.2518 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] dresser : 0.3645 0.5245 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] stool : 0.5472 0.7343 [2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] plant : 0.5726 0.9310 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] ceiling : 0.9145 0.9385 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] bathtub : 0.8297 0.8499 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] end table : 0.3118 0.4323 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] dining table : 0.0004 0.0004 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] keyboard : 0.3598 0.4173 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] bag : 0.1066 0.5746 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] backpack : 0.5282 0.6565 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] toilet paper : 0.4611 0.6239 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] printer : 0.2899 0.6179 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] tv stand : 0.3816 0.3963 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] whiteboard : 0.4409 0.6141 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] blanket : 0.0015 0.0020 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] shower curtain : 0.6327 0.8402 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] trash can : 0.5806 0.8604 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] closet : 0.0285 0.0294 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] stairs : 0.4436 0.5024 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] microwave : 0.5182 0.6144 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] stove : 0.4883 0.8169 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] shoe : 0.4780 0.6749 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] computer tower : 0.5616 0.7976 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] bottle : 0.1069 0.5150 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] bin : 0.0018 0.0058 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] ottoman : 0.2184 0.2669 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] bench : 0.1389 0.1436 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] board : 0.1123 0.1930 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] washing machine: 0.7872 0.8959 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] mirror : 0.3131 0.4549 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] copier : 0.6463 0.9037 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] sofa chair : 0.0403 0.0534 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] file cabinet : 0.4465 0.5572 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] fan : 0.2862 0.4363 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] laptop : 0.4208 0.6122 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] shower : 0.1931 0.2255 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] paper : 0.0349 0.0484 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] person : 0.1712 0.7406 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] paper towel dispenser: 0.7084 0.8224 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] oven : 0.0717 0.1002 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] blinds : 0.0240 0.0328 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] blackboard : 0.5153 0.6245 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] piano : 0.3538 0.4246 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] suitcase : 0.3887 0.4565 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] rail : 0.0225 0.0241 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] radiator : 0.5363 0.6723 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] recycling bin : 0.4550 0.4886 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] wardrobe : 0.0667 0.0679 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] soap dispenser : 0.6439 0.9169 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] telephone : 0.2551 0.3767 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] bucket : 0.2033 0.2622 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] clock : 0.1337 0.1496 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] stand : 0.0024 0.0251 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] light : 0.0366 0.0464 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] laundry basket : 0.0006 0.0008 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] pipe : 0.0274 0.0473 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] clothes dryer : 0.3391 0.3487 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] guitar : 0.4479 0.7265 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] toilet paper holder: 0.0042 0.0172 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] ladder : 0.2272 0.6388 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] bathroom stall : 0.4387 0.5853 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] shower wall : 0.4975 0.6602 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] cup : 0.1614 0.3833 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] jacket : 0.1305 0.1492 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] storage bin : 0.0473 0.1093 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] coffee maker : 0.8522 0.9464 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] dishwasher : 0.2424 0.5859 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] paper towel roll: 0.0823 0.0931 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] mat : 0.1977 0.2504 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] windowsill : 0.1299 0.1438 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] bar : 0.1346 0.2389 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] bulletin board : 0.1494 0.1649 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] ironing board : 0.1395 0.2728 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] fireplace : 0.4849 0.5571 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] soap dish : 0.3183 0.5556 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] kitchen counter: 0.5258 0.6879 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] doorframe : 0.3730 0.6121 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3477 0.4593 [2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] mini fridge : 0.3056 0.3302 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] fire extinguisher: 0.0493 0.0902 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] ball : 0.0736 0.9306 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] shower curtain rod: 0.3035 0.7714 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] water cooler : 0.4623 0.6875 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] paper cutter : 0.0368 0.0382 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] shower door : 0.1199 0.1265 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] ledge : 0.0339 0.0424 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] mouse : 0.0411 0.4356 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.2612 0.2770 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] cart : 0.1118 0.1336 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] scale : 0.4755 0.9181 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] tissue box : 0.1343 0.5322 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] light switch : 0.0513 0.1963 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] power outlet : 0.0953 0.1075 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] decoration : 0.2779 0.6011 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] sign : 0.0374 0.0875 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] projector : 0.0906 0.9296 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] closet door : 0.1148 0.1565 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] vacuum cleaner : 0.5355 0.9496 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] plunger : 0.1126 0.9870 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] dish rack : 0.3361 0.9261 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] broom : 0.0261 0.4172 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] range hood : 0.5313 0.6060 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] dustpan : 0.0256 0.2117 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] hair dryer : 0.0033 0.0059 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] water bottle : 0.0255 0.2012 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] handicap bar : 0.0433 0.6945 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] vent : 0.0064 0.0660 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] shower floor : 0.5143 0.7158 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] mailbox : 0.3089 0.3096 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] bowl : 0.0062 0.0190 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] paper bag : 0.0009 0.0009 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] projector screen: 0.0334 0.0501 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] divider : 0.4061 0.4378 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] laundry detergent: 0.0905 0.1014 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] bathroom counter: 0.2202 0.2347 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] object : 0.0444 0.1475 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] bathroom vanity: 0.4613 0.8305 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] closet wall : 0.0722 0.2440 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] laundry hamper : 0.0003 0.0003 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] bathroom stall door: 0.5341 0.7100 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] ceiling light : 0.4660 0.7082 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] trash bin : 0.3135 0.4165 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] dumbbell : 0.2635 0.9690 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] stair rail : 0.0422 0.0453 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] tube : 0.0366 0.1513 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] bathroom cabinet: 0.0147 0.0151 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] closet rod : 0.4330 0.8715 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] coffee kettle : 0.0478 0.0711 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] shower head : 0.2736 0.3015 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] coat rack : 0.0056 0.0336 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] folded chair : 0.0070 0.0246 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 [2025-03-11 02:54:29,795 INFO hook.py line 690 2389709] ######################################## [2025-03-11 02:54:29,795 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2520/0.3762/0.7922. [2025-03-11 02:54:29,796 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 02:54:29,814 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2808 [2025-03-11 02:54:29,814 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 02:54:59,745 INFO hook.py line 566 2389709] Train: [32/100][50/300] Data 0.002 (0.002) Batch 0.504 (0.494) Remain 02:49:57 loss: 0.6951 Lr: 4.12130e-03 [2025-03-11 02:55:24,824 INFO hook.py line 566 2389709] Train: [32/100][100/300] Data 0.002 (0.002) Batch 0.514 (0.498) Remain 02:50:55 loss: 0.8882 Lr: 4.11078e-03 [2025-03-11 02:55:49,056 INFO hook.py line 566 2389709] Train: [32/100][150/300] Data 0.002 (0.002) Batch 0.505 (0.493) Remain 02:48:58 loss: 0.9091 Lr: 4.10022e-03 [2025-03-11 02:56:14,069 INFO hook.py line 566 2389709] Train: [32/100][200/300] Data 0.002 (0.002) Batch 0.464 (0.495) Remain 02:49:09 loss: 0.9303 Lr: 4.08961e-03 [2025-03-11 02:56:38,608 INFO hook.py line 566 2389709] Train: [32/100][250/300] Data 0.002 (0.002) Batch 0.455 (0.494) Remain 02:48:26 loss: 0.8957 Lr: 4.07895e-03 [2025-03-11 02:57:02,419 INFO hook.py line 566 2389709] Train: [32/100][300/300] Data 0.001 (0.002) Batch 0.472 (0.491) Remain 02:47:00 loss: 0.9690 Lr: 4.06825e-03 [2025-03-11 02:57:02,420 INFO misc.py line 135 2389709] Train result: loss: 0.8649 [2025-03-11 02:57:02,516 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 02:57:51,252 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4589 [2025-03-11 02:57:51,297 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.2078 [2025-03-11 02:57:51,335 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.8771 [2025-03-11 02:57:51,387 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.6352 [2025-03-11 02:57:51,426 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9129 [2025-03-11 02:57:51,485 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0740 [2025-03-11 02:57:51,537 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9462 [2025-03-11 02:57:51,577 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3838 [2025-03-11 02:57:51,624 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.0485 [2025-03-11 02:57:51,667 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2400 [2025-03-11 02:57:51,715 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3121 [2025-03-11 02:57:51,752 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.8331 [2025-03-11 02:57:51,803 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.5609 [2025-03-11 02:57:51,846 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.8330 [2025-03-11 02:57:51,883 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.9541 [2025-03-11 02:57:51,942 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.6918 [2025-03-11 02:57:51,983 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2123 [2025-03-11 02:57:52,023 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8301 [2025-03-11 02:57:52,067 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2212 [2025-03-11 02:57:52,108 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5141 [2025-03-11 02:57:52,143 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6722 [2025-03-11 02:57:52,187 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8245 [2025-03-11 02:57:52,218 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3023 [2025-03-11 02:57:52,271 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0868 [2025-03-11 02:57:52,313 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5304 [2025-03-11 02:57:52,361 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.8342 [2025-03-11 02:57:52,416 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6741 [2025-03-11 02:57:52,457 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6517 [2025-03-11 02:57:52,487 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0959 [2025-03-11 02:57:52,562 INFO hook.py line 748 2389709] Test: [30/78] Loss 2.1616 [2025-03-11 02:57:52,630 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5259 [2025-03-11 02:57:52,666 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0813 [2025-03-11 02:57:52,729 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.0033 [2025-03-11 02:57:52,772 INFO hook.py line 748 2389709] Test: [34/78] Loss 3.4119 [2025-03-11 02:57:52,812 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2797 [2025-03-11 02:57:52,858 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3173 [2025-03-11 02:57:52,898 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.5138 [2025-03-11 02:57:52,933 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7006 [2025-03-11 02:57:53,001 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.7906 [2025-03-11 02:57:53,067 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6484 [2025-03-11 02:57:53,113 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3382 [2025-03-11 02:57:53,150 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4104 [2025-03-11 02:57:53,191 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1850 [2025-03-11 02:57:53,255 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8505 [2025-03-11 02:57:53,288 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.0693 [2025-03-11 02:57:53,337 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9043 [2025-03-11 02:57:53,378 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.0627 [2025-03-11 02:57:53,412 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9421 [2025-03-11 02:57:53,443 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3622 [2025-03-11 02:57:53,476 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5693 [2025-03-11 02:57:53,508 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.8142 [2025-03-11 02:57:53,543 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.8985 [2025-03-11 02:57:53,570 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3805 [2025-03-11 02:57:53,609 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.6332 [2025-03-11 02:57:53,648 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3204 [2025-03-11 02:57:53,693 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8165 [2025-03-11 02:57:53,727 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.5023 [2025-03-11 02:57:53,755 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.0536 [2025-03-11 02:57:53,794 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9725 [2025-03-11 02:57:53,830 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5544 [2025-03-11 02:57:53,857 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8377 [2025-03-11 02:57:53,893 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0474 [2025-03-11 02:57:53,930 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1806 [2025-03-11 02:57:53,991 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6222 [2025-03-11 02:57:54,018 INFO hook.py line 748 2389709] Test: [65/78] Loss 1.9351 [2025-03-11 02:57:54,062 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.6211 [2025-03-11 02:57:54,101 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.2520 [2025-03-11 02:57:54,138 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.7529 [2025-03-11 02:57:54,168 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3531 [2025-03-11 02:57:54,229 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.9512 [2025-03-11 02:57:54,277 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5809 [2025-03-11 02:57:54,332 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7291 [2025-03-11 02:57:54,385 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5193 [2025-03-11 02:57:54,428 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.3661 [2025-03-11 02:57:54,481 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.7054 [2025-03-11 02:57:54,511 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.8093 [2025-03-11 02:57:54,570 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6528 [2025-03-11 02:57:54,596 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9017 [2025-03-11 02:57:55,983 INFO hook.py line 674 2389709] ######################################## [2025-03-11 02:57:55,983 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 02:57:55,984 INFO hook.py line 680 2389709] ######################################## [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] wall : 0.7795 0.9353 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] chair : 0.7341 0.8994 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] floor : 0.9553 0.9825 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] table : 0.6423 0.7856 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] door : 0.6051 0.7133 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] couch : 0.7157 0.9163 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] cabinet : 0.3267 0.5880 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] shelf : 0.3527 0.4435 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] desk : 0.5342 0.7172 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] office chair : 0.0943 0.1106 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] bed : 0.7461 0.9345 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] pillow : 0.5155 0.6865 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] sink : 0.6186 0.7020 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] picture : 0.3389 0.4035 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] window : 0.5390 0.6689 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] toilet : 0.9037 0.9349 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] bookshelf : 0.4670 0.6534 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] monitor : 0.7764 0.8258 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] curtain : 0.6747 0.7636 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] book : 0.4251 0.7495 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] armchair : 0.3635 0.3985 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] coffee table : 0.6787 0.8706 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] box : 0.2882 0.3863 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] refrigerator : 0.5993 0.6797 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] lamp : 0.6266 0.7288 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] kitchen cabinet: 0.6517 0.7426 [2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] towel : 0.4427 0.6430 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] clothes : 0.2144 0.4014 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] tv : 0.8563 0.9040 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] nightstand : 0.5908 0.8079 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] counter : 0.2946 0.5992 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] dresser : 0.3265 0.6755 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] stool : 0.3657 0.4494 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] plant : 0.7137 0.8541 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] ceiling : 0.9302 0.9667 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] bathtub : 0.8662 0.9027 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] end table : 0.1717 0.3037 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] dining table : 0.0322 0.0394 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] keyboard : 0.3757 0.5638 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] bag : 0.0870 0.1077 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] backpack : 0.5634 0.7237 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] toilet paper : 0.4262 0.5296 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] printer : 0.3051 0.8839 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] tv stand : 0.6471 0.9560 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] whiteboard : 0.4656 0.5490 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] blanket : 0.0023 0.0023 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] shower curtain : 0.6458 0.6973 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] trash can : 0.6237 0.7808 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] closet : 0.0400 0.0488 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] stairs : 0.6205 0.6635 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] microwave : 0.4700 0.6265 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] stove : 0.6488 0.8656 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] shoe : 0.3764 0.4450 [2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] computer tower : 0.4404 0.7512 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] bottle : 0.1182 0.2196 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] ottoman : 0.4098 0.5207 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] bench : 0.2201 0.2667 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] board : 0.1747 0.2727 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] washing machine: 0.7883 0.8254 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] mirror : 0.3869 0.4931 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] copier : 0.7563 0.9283 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] sofa chair : 0.1383 0.2710 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] file cabinet : 0.4770 0.5808 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] fan : 0.2240 0.2589 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] laptop : 0.4500 0.5731 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] shower : 0.2595 0.3147 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] paper : 0.0535 0.0812 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] person : 0.2117 0.4856 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] paper towel dispenser: 0.6481 0.7390 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] oven : 0.0355 0.0549 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] blinds : 0.0009 0.0010 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] blackboard : 0.5725 0.6149 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] piano : 0.2295 0.4140 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] suitcase : 0.4690 0.7509 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] rail : 0.0326 0.0334 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] radiator : 0.5476 0.6294 [2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] recycling bin : 0.4571 0.5132 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] wardrobe : 0.2346 0.4298 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] soap dispenser : 0.6539 0.7749 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] telephone : 0.2886 0.5996 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] bucket : 0.3693 0.4436 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] clock : 0.2662 0.3485 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] light : 0.0212 0.0295 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] pipe : 0.1116 0.1279 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] clothes dryer : 0.3509 0.3700 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] guitar : 0.3164 0.5302 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] ladder : 0.5415 0.6072 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] bathroom stall : 0.2671 0.2804 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] shower wall : 0.5135 0.6690 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] cup : 0.1692 0.3199 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] jacket : 0.1352 0.1539 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] storage bin : 0.0268 0.0269 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] coffee maker : 0.7094 0.9916 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] dishwasher : 0.0388 0.0485 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] paper towel roll: 0.1573 0.1796 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] mat : 0.1367 0.1490 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] windowsill : 0.2274 0.2912 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] bar : 0.1813 0.2601 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] bulletin board : 0.2519 0.3207 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] ironing board : 0.0546 0.0552 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] fireplace : 0.5260 0.5508 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] soap dish : 0.3098 0.3774 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] kitchen counter: 0.3958 0.4398 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] doorframe : 0.3616 0.4730 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2888 0.3503 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] mini fridge : 0.2855 0.2971 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] ball : 0.4573 0.6620 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] shower curtain rod: 0.3489 0.8422 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] water cooler : 0.6379 0.6428 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] paper cutter : 0.2422 0.3163 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] tray : 0.0135 0.0188 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] shower door : 0.1080 0.1192 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] pillar : 0.0132 0.0133 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] ledge : 0.0382 0.0434 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] toaster oven : 0.1820 0.2058 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] mouse : 0.0213 0.5565 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6343 0.6967 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] cart : 0.2465 0.2677 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] scale : 0.3575 0.9582 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] tissue box : 0.1981 0.2476 [2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] light switch : 0.0563 0.2073 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] decoration : 0.0815 0.1165 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] sign : 0.0482 0.0550 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] projector : 0.1384 1.0000 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] closet door : 0.1931 0.2918 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] vacuum cleaner : 0.8162 0.9762 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] plunger : 0.7348 0.9587 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] dish rack : 0.3372 0.5748 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] broom : 0.0270 0.0287 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] range hood : 0.7153 0.8560 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] dustpan : 0.1431 0.3493 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] handicap bar : 0.0313 0.1848 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] shower floor : 0.6385 0.9289 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] mailbox : 0.0336 0.0336 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] bowl : 0.0121 0.0157 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] paper bag : 0.0897 0.2207 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] divider : 0.3629 0.3816 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] laundry detergent: 0.0423 0.0460 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] bathroom counter: 0.2809 0.3176 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] object : 0.0462 0.0780 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] bathroom vanity: 0.4759 0.6298 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] closet wall : 0.0575 0.0778 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] laundry hamper : 0.0094 0.0118 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] bathroom stall door: 0.5300 0.6958 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] ceiling light : 0.1878 0.1980 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] trash bin : 0.2439 0.3702 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] dumbbell : 0.6178 0.9750 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] stair rail : 0.1662 0.1880 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] tube : 0.0234 0.0253 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] bathroom cabinet: 0.3303 0.5997 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] closet rod : 0.3460 0.8560 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] shower head : 0.2277 0.3352 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] case of water bottles: 0.0847 0.0847 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] fire alarm : 0.0823 0.8636 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] calendar : 0.0137 0.0281 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] potted plant : 0.0112 0.0189 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] mattress : 0.0071 0.0078 [2025-03-11 02:57:55,991 INFO hook.py line 690 2389709] ######################################## [2025-03-11 02:57:55,991 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2755/0.3724/0.8071. [2025-03-11 02:57:55,991 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 02:57:56,009 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2808 [2025-03-11 02:57:56,009 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 02:58:26,185 INFO hook.py line 566 2389709] Train: [33/100][50/300] Data 0.002 (0.002) Batch 0.546 (0.500) Remain 02:49:25 loss: 0.7489 Lr: 4.05749e-03 [2025-03-11 02:58:50,571 INFO hook.py line 566 2389709] Train: [33/100][100/300] Data 0.002 (0.002) Batch 0.485 (0.493) Remain 02:46:56 loss: 0.9760 Lr: 4.04669e-03 [2025-03-11 02:59:15,223 INFO hook.py line 566 2389709] Train: [33/100][150/300] Data 0.003 (0.002) Batch 0.499 (0.493) Remain 02:46:29 loss: 0.6947 Lr: 4.03585e-03 [2025-03-11 02:59:39,663 INFO hook.py line 566 2389709] Train: [33/100][200/300] Data 0.002 (0.002) Batch 0.517 (0.492) Remain 02:45:41 loss: 0.9593 Lr: 4.02495e-03 [2025-03-11 03:00:04,056 INFO hook.py line 566 2389709] Train: [33/100][250/300] Data 0.002 (0.002) Batch 0.522 (0.491) Remain 02:44:59 loss: 0.8303 Lr: 4.01401e-03 [2025-03-11 03:00:28,083 INFO hook.py line 566 2389709] Train: [33/100][300/300] Data 0.002 (0.002) Batch 0.642 (0.489) Remain 02:43:58 loss: 0.8510 Lr: 4.00302e-03 [2025-03-11 03:00:28,083 INFO misc.py line 135 2389709] Train result: loss: 0.8507 [2025-03-11 03:00:28,179 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 03:01:29,345 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5234 [2025-03-11 03:01:29,390 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.1591 [2025-03-11 03:01:29,435 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7003 [2025-03-11 03:01:29,484 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4426 [2025-03-11 03:01:29,517 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9305 [2025-03-11 03:01:29,575 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0013 [2025-03-11 03:01:29,631 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7050 [2025-03-11 03:01:29,661 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4051 [2025-03-11 03:01:29,706 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2875 [2025-03-11 03:01:29,747 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.0649 [2025-03-11 03:01:29,798 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1309 [2025-03-11 03:01:29,830 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0845 [2025-03-11 03:01:29,879 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.9033 [2025-03-11 03:01:29,920 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.5592 [2025-03-11 03:01:29,957 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.8848 [2025-03-11 03:01:30,003 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1584 [2025-03-11 03:01:30,044 INFO hook.py line 748 2389709] Test: [17/78] Loss 0.9569 [2025-03-11 03:01:30,081 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8688 [2025-03-11 03:01:30,125 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.3046 [2025-03-11 03:01:30,165 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.3948 [2025-03-11 03:01:30,201 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7090 [2025-03-11 03:01:30,242 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7033 [2025-03-11 03:01:30,270 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.2768 [2025-03-11 03:01:30,322 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.3550 [2025-03-11 03:01:30,366 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7187 [2025-03-11 03:01:30,409 INFO hook.py line 748 2389709] Test: [26/78] Loss 1.7999 [2025-03-11 03:01:30,462 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.4928 [2025-03-11 03:01:30,499 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6101 [2025-03-11 03:01:30,534 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.8781 [2025-03-11 03:01:30,590 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.1423 [2025-03-11 03:01:30,656 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6286 [2025-03-11 03:01:30,695 INFO hook.py line 748 2389709] Test: [32/78] Loss 0.9788 [2025-03-11 03:01:30,752 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.0306 [2025-03-11 03:01:30,792 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.1932 [2025-03-11 03:01:30,830 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2870 [2025-03-11 03:01:30,870 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3669 [2025-03-11 03:01:30,909 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.4045 [2025-03-11 03:01:30,941 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.6970 [2025-03-11 03:01:31,009 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.7882 [2025-03-11 03:01:31,073 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3822 [2025-03-11 03:01:31,117 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1228 [2025-03-11 03:01:31,153 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5689 [2025-03-11 03:01:31,193 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3919 [2025-03-11 03:01:31,255 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9493 [2025-03-11 03:01:31,298 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.0691 [2025-03-11 03:01:31,349 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9345 [2025-03-11 03:01:31,387 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.0572 [2025-03-11 03:01:31,421 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0927 [2025-03-11 03:01:31,453 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.0881 [2025-03-11 03:01:31,485 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8296 [2025-03-11 03:01:31,515 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0859 [2025-03-11 03:01:31,549 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.2057 [2025-03-11 03:01:31,576 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4432 [2025-03-11 03:01:31,611 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.5697 [2025-03-11 03:01:31,649 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.1612 [2025-03-11 03:01:31,689 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8765 [2025-03-11 03:01:31,723 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.1331 [2025-03-11 03:01:31,748 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.0586 [2025-03-11 03:01:31,787 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7276 [2025-03-11 03:01:31,824 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7639 [2025-03-11 03:01:31,850 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8401 [2025-03-11 03:01:31,884 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9734 [2025-03-11 03:01:31,921 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2597 [2025-03-11 03:01:31,979 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6401 [2025-03-11 03:01:32,008 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2316 [2025-03-11 03:01:32,051 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.8974 [2025-03-11 03:01:32,090 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8022 [2025-03-11 03:01:32,125 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9536 [2025-03-11 03:01:32,156 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3336 [2025-03-11 03:01:32,217 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.8950 [2025-03-11 03:01:32,261 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5028 [2025-03-11 03:01:32,316 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.8744 [2025-03-11 03:01:32,369 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6864 [2025-03-11 03:01:32,412 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.8521 [2025-03-11 03:01:32,464 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.4815 [2025-03-11 03:01:32,492 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.6540 [2025-03-11 03:01:32,550 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5980 [2025-03-11 03:01:32,577 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.0380 [2025-03-11 03:01:34,044 INFO hook.py line 674 2389709] ######################################## [2025-03-11 03:01:34,044 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 03:01:34,044 INFO hook.py line 680 2389709] ######################################## [2025-03-11 03:01:34,044 INFO hook.py line 689 2389709] wall : 0.7884 0.8836 [2025-03-11 03:01:34,044 INFO hook.py line 689 2389709] chair : 0.7299 0.8482 [2025-03-11 03:01:34,044 INFO hook.py line 689 2389709] floor : 0.9573 0.9802 [2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] table : 0.6308 0.7516 [2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] door : 0.6165 0.7635 [2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] couch : 0.7897 0.9039 [2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] cabinet : 0.3613 0.5663 [2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] shelf : 0.2795 0.3268 [2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] desk : 0.5628 0.8472 [2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] office chair : 0.1246 0.1624 [2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] bed : 0.7509 0.8903 [2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] pillow : 0.4956 0.7292 [2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] sink : 0.6539 0.7758 [2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] picture : 0.3252 0.3737 [2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] window : 0.5721 0.7518 [2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] toilet : 0.9230 0.9590 [2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] bookshelf : 0.4302 0.6914 [2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] monitor : 0.8430 0.9234 [2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] curtain : 0.6665 0.8466 [2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] book : 0.3977 0.7783 [2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] armchair : 0.5572 0.8558 [2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] coffee table : 0.6883 0.8029 [2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] box : 0.3181 0.4506 [2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] refrigerator : 0.6517 0.6919 [2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] lamp : 0.6709 0.7696 [2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] kitchen cabinet: 0.6279 0.7067 [2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] towel : 0.4682 0.7800 [2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] clothes : 0.1685 0.3852 [2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] tv : 0.8201 0.8789 [2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] nightstand : 0.7008 0.8492 [2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] counter : 0.2212 0.2916 [2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] dresser : 0.3330 0.4539 [2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] stool : 0.5176 0.7392 [2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] plant : 0.6424 0.8840 [2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] ceiling : 0.9174 0.9573 [2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] bathtub : 0.8208 0.9299 [2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] end table : 0.4217 0.6825 [2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] dining table : 0.0421 0.0460 [2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] keyboard : 0.3971 0.6222 [2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] bag : 0.2136 0.3441 [2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] backpack : 0.5971 0.6831 [2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] toilet paper : 0.4404 0.6054 [2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] printer : 0.3585 0.6443 [2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] tv stand : 0.5440 0.9721 [2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] whiteboard : 0.4766 0.7551 [2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] blanket : 0.0159 0.0219 [2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] shower curtain : 0.6346 0.7171 [2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] trash can : 0.6630 0.8018 [2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] closet : 0.1106 0.1478 [2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] stairs : 0.5264 0.6276 [2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] microwave : 0.5182 0.5854 [2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] stove : 0.5796 0.7698 [2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] shoe : 0.4070 0.5296 [2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] computer tower : 0.6267 0.7806 [2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] bottle : 0.1338 0.3124 [2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] ottoman : 0.1666 0.1743 [2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] bench : 0.2573 0.3948 [2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] board : 0.1070 0.3116 [2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] washing machine: 0.7392 0.8002 [2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] mirror : 0.3385 0.3792 [2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] copier : 0.8187 0.9339 [2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] sofa chair : 0.0952 0.1146 [2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] file cabinet : 0.4873 0.6360 [2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] fan : 0.1186 0.1364 [2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] laptop : 0.3220 0.4314 [2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] shower : 0.2718 0.3419 [2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] paper : 0.0798 0.1524 [2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] person : 0.3153 0.4619 [2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] paper towel dispenser: 0.5622 0.6128 [2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] oven : 0.0015 0.0017 [2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] blinds : 0.0367 0.0429 [2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] blackboard : 0.5862 0.6253 [2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] piano : 0.2824 0.7652 [2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] suitcase : 0.4941 0.8463 [2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] rail : 0.0157 0.0167 [2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] radiator : 0.6182 0.7727 [2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] recycling bin : 0.5028 0.5821 [2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] container : 0.0006 0.0007 [2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] wardrobe : 0.1839 0.3835 [2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] soap dispenser : 0.6242 0.6489 [2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] telephone : 0.3814 0.5711 [2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] bucket : 0.4252 0.5155 [2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] clock : 0.2137 0.3277 [2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] light : 0.0305 0.0356 [2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] laundry basket : 0.0031 0.0033 [2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] pipe : 0.0483 0.0646 [2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] clothes dryer : 0.5968 0.6865 [2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] guitar : 0.4625 0.5974 [2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] seat : 0.0005 0.0005 [2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] column : 0.0441 0.2433 [2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] ladder : 0.4970 0.6067 [2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] bathroom stall : 0.4840 0.5738 [2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] shower wall : 0.4632 0.7064 [2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] cup : 0.1748 0.4194 [2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] jacket : 0.1496 0.3632 [2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] storage bin : 0.0562 0.0716 [2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] coffee maker : 0.6181 0.9931 [2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] dishwasher : 0.2217 0.2821 [2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] paper towel roll: 0.0318 0.0318 [2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] mat : 0.0869 0.1002 [2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] windowsill : 0.2570 0.4800 [2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] bar : 0.1144 0.1916 [2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] toaster : 0.0037 0.0038 [2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] bulletin board : 0.2097 0.4191 [2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] ironing board : 0.1147 0.1195 [2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] fireplace : 0.5972 0.6197 [2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] soap dish : 0.3352 0.4922 [2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] kitchen counter: 0.5291 0.7196 [2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] doorframe : 0.3449 0.7249 [2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4230 0.6718 [2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] mini fridge : 0.4386 0.5875 [2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] fire extinguisher: 0.0438 0.1169 [2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] ball : 0.4401 0.5026 [2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] shower curtain rod: 0.3296 0.8603 [2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] water cooler : 0.6561 0.6901 [2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] paper cutter : 0.1969 0.2639 [2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] tray : 0.0376 0.0937 [2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] shower door : 0.1455 0.2688 [2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] pillar : 0.0035 0.0039 [2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] ledge : 0.0087 0.0098 [2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] toaster oven : 0.0717 0.0730 [2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] mouse : 0.0797 0.2832 [2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6983 0.8035 [2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] cart : 0.1074 0.1144 [2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] scale : 0.2832 0.8607 [2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] tissue box : 0.2016 0.2642 [2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] light switch : 0.0403 0.3043 [2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] power outlet : 0.1190 0.2938 [2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] decoration : 0.2757 0.5179 [2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] sign : 0.0406 0.0515 [2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 [2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] closet door : 0.1747 0.2071 [2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] vacuum cleaner : 0.8392 0.8725 [2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] plunger : 0.4950 0.9457 [2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] headphones : 0.0158 0.0175 [2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] dish rack : 0.5753 0.8369 [2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] broom : 0.0509 0.1289 [2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] range hood : 0.5581 0.6112 [2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] dustpan : 0.0280 0.0769 [2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] handicap bar : 0.0399 0.9078 [2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] shower floor : 0.2001 0.9961 [2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] mailbox : 0.4132 0.5071 [2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] bowl : 0.0194 0.0242 [2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] paper bag : 0.0642 0.0959 [2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] projector screen: 0.0024 0.0030 [2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] divider : 0.5551 0.6662 [2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] laundry detergent: 0.0090 0.0092 [2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] bathroom counter: 0.2541 0.3545 [2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] object : 0.0413 0.0938 [2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] bathroom vanity: 0.5034 0.7043 [2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] closet wall : 0.0912 0.2594 [2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] laundry hamper : 0.0781 0.1045 [2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] bathroom stall door: 0.5118 0.7216 [2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] ceiling light : 0.2623 0.3203 [2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] trash bin : 0.2196 0.2784 [2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] dumbbell : 0.3586 0.9565 [2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] stair rail : 0.2272 0.2873 [2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] tube : 0.0777 0.1009 [2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] bathroom cabinet: 0.4178 0.5931 [2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] closet rod : 0.3540 0.8044 [2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] shower head : 0.2301 0.2567 [2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] case of water bottles: 0.0137 0.0137 [2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] coat rack : 0.0206 0.0924 [2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 03:01:34,054 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 03:01:34,054 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 03:01:34,054 INFO hook.py line 689 2389709] potted plant : 0.0156 0.0708 [2025-03-11 03:01:34,054 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 03:01:34,054 INFO hook.py line 689 2389709] mattress : 0.0401 0.0409 [2025-03-11 03:01:34,054 INFO hook.py line 690 2389709] ######################################## [2025-03-11 03:01:34,054 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2832/0.3948/0.8072. [2025-03-11 03:01:34,055 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 03:01:34,073 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2832 [2025-03-11 03:01:34,073 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2832 [2025-03-11 03:01:34,073 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 03:02:05,199 INFO hook.py line 566 2389709] Train: [34/100][50/300] Data 0.004 (0.002) Batch 0.516 (0.495) Remain 02:45:14 loss: 0.9717 Lr: 3.99199e-03 [2025-03-11 03:02:29,476 INFO hook.py line 566 2389709] Train: [34/100][100/300] Data 0.002 (0.002) Batch 0.466 (0.490) Remain 02:43:17 loss: 0.8833 Lr: 3.98091e-03 [2025-03-11 03:02:54,481 INFO hook.py line 566 2389709] Train: [34/100][150/300] Data 0.002 (0.002) Batch 0.462 (0.493) Remain 02:44:02 loss: 0.7825 Lr: 3.97001e-03 [2025-03-11 03:03:18,863 INFO hook.py line 566 2389709] Train: [34/100][200/300] Data 0.002 (0.002) Batch 0.458 (0.492) Remain 02:43:08 loss: 1.0513 Lr: 3.95885e-03 [2025-03-11 03:03:43,773 INFO hook.py line 566 2389709] Train: [34/100][250/300] Data 0.002 (0.002) Batch 0.547 (0.493) Remain 02:43:09 loss: 0.7371 Lr: 3.94763e-03 [2025-03-11 03:04:07,872 INFO hook.py line 566 2389709] Train: [34/100][300/300] Data 0.002 (0.002) Batch 0.514 (0.491) Remain 02:42:07 loss: 1.0172 Lr: 3.93638e-03 [2025-03-11 03:04:07,874 INFO misc.py line 135 2389709] Train result: loss: 0.8485 [2025-03-11 03:04:07,963 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 03:04:57,177 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4995 [2025-03-11 03:04:57,228 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.6350 [2025-03-11 03:04:57,267 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7714 [2025-03-11 03:04:57,318 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4941 [2025-03-11 03:04:57,357 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9273 [2025-03-11 03:04:57,419 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2503 [2025-03-11 03:04:57,472 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8918 [2025-03-11 03:04:57,506 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3854 [2025-03-11 03:04:57,555 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.0341 [2025-03-11 03:04:57,594 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2008 [2025-03-11 03:04:57,642 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2476 [2025-03-11 03:04:57,679 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.8725 [2025-03-11 03:04:57,744 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.0749 [2025-03-11 03:04:57,783 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.7604 [2025-03-11 03:04:57,819 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.9032 [2025-03-11 03:04:57,866 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1379 [2025-03-11 03:04:57,904 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1227 [2025-03-11 03:04:57,941 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.6390 [2025-03-11 03:04:57,987 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4194 [2025-03-11 03:04:58,026 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6234 [2025-03-11 03:04:58,068 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.8516 [2025-03-11 03:04:58,113 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.5653 [2025-03-11 03:04:58,147 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4507 [2025-03-11 03:04:58,203 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.2347 [2025-03-11 03:04:58,244 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7118 [2025-03-11 03:04:58,288 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4454 [2025-03-11 03:04:58,344 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.7729 [2025-03-11 03:04:58,387 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6811 [2025-03-11 03:04:58,417 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.2025 [2025-03-11 03:04:58,473 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.8340 [2025-03-11 03:04:58,531 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6385 [2025-03-11 03:04:58,577 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4913 [2025-03-11 03:04:58,635 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.9604 [2025-03-11 03:04:58,679 INFO hook.py line 748 2389709] Test: [34/78] Loss 3.2115 [2025-03-11 03:04:58,720 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2820 [2025-03-11 03:04:58,786 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3364 [2025-03-11 03:04:58,829 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2254 [2025-03-11 03:04:58,865 INFO hook.py line 748 2389709] Test: [38/78] Loss 1.0257 [2025-03-11 03:04:58,934 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.8810 [2025-03-11 03:04:58,983 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6274 [2025-03-11 03:04:59,032 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4186 [2025-03-11 03:04:59,064 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4660 [2025-03-11 03:04:59,110 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1818 [2025-03-11 03:04:59,173 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9196 [2025-03-11 03:04:59,217 INFO hook.py line 748 2389709] Test: [45/78] Loss 0.9045 [2025-03-11 03:04:59,271 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9951 [2025-03-11 03:04:59,313 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7611 [2025-03-11 03:04:59,348 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.3003 [2025-03-11 03:04:59,384 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3078 [2025-03-11 03:04:59,423 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5760 [2025-03-11 03:04:59,458 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.1451 [2025-03-11 03:04:59,495 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5881 [2025-03-11 03:04:59,526 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3587 [2025-03-11 03:04:59,567 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.6523 [2025-03-11 03:04:59,610 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3551 [2025-03-11 03:04:59,650 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9743 [2025-03-11 03:04:59,689 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.7615 [2025-03-11 03:04:59,719 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1274 [2025-03-11 03:04:59,760 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7268 [2025-03-11 03:04:59,802 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6949 [2025-03-11 03:04:59,831 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8658 [2025-03-11 03:04:59,871 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0415 [2025-03-11 03:04:59,908 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.3826 [2025-03-11 03:04:59,966 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6669 [2025-03-11 03:04:59,998 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.0235 [2025-03-11 03:05:00,046 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.4563 [2025-03-11 03:05:00,085 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1794 [2025-03-11 03:05:00,127 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.7671 [2025-03-11 03:05:00,164 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3581 [2025-03-11 03:05:00,231 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.6565 [2025-03-11 03:05:00,274 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5889 [2025-03-11 03:05:00,332 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5024 [2025-03-11 03:05:00,389 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5005 [2025-03-11 03:05:00,434 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.6520 [2025-03-11 03:05:00,487 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5687 [2025-03-11 03:05:00,517 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7075 [2025-03-11 03:05:00,579 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.8292 [2025-03-11 03:05:00,606 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8244 [2025-03-11 03:05:01,841 INFO hook.py line 674 2389709] ######################################## [2025-03-11 03:05:01,841 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 03:05:01,842 INFO hook.py line 680 2389709] ######################################## [2025-03-11 03:05:01,842 INFO hook.py line 689 2389709] wall : 0.7792 0.9228 [2025-03-11 03:05:01,842 INFO hook.py line 689 2389709] chair : 0.7389 0.9018 [2025-03-11 03:05:01,842 INFO hook.py line 689 2389709] floor : 0.9570 0.9797 [2025-03-11 03:05:01,842 INFO hook.py line 689 2389709] table : 0.6019 0.7011 [2025-03-11 03:05:01,842 INFO hook.py line 689 2389709] door : 0.5691 0.6306 [2025-03-11 03:05:01,842 INFO hook.py line 689 2389709] couch : 0.7850 0.8771 [2025-03-11 03:05:01,842 INFO hook.py line 689 2389709] cabinet : 0.3490 0.5095 [2025-03-11 03:05:01,843 INFO hook.py line 689 2389709] shelf : 0.4109 0.6382 [2025-03-11 03:05:01,843 INFO hook.py line 689 2389709] desk : 0.5070 0.8562 [2025-03-11 03:05:01,843 INFO hook.py line 689 2389709] office chair : 0.1169 0.1377 [2025-03-11 03:05:01,843 INFO hook.py line 689 2389709] bed : 0.7314 0.9004 [2025-03-11 03:05:01,843 INFO hook.py line 689 2389709] pillow : 0.5438 0.7414 [2025-03-11 03:05:01,843 INFO hook.py line 689 2389709] sink : 0.6336 0.7000 [2025-03-11 03:05:01,843 INFO hook.py line 689 2389709] picture : 0.3362 0.4994 [2025-03-11 03:05:01,843 INFO hook.py line 689 2389709] window : 0.4993 0.5724 [2025-03-11 03:05:01,844 INFO hook.py line 689 2389709] toilet : 0.9306 0.9496 [2025-03-11 03:05:01,844 INFO hook.py line 689 2389709] bookshelf : 0.4452 0.5670 [2025-03-11 03:05:01,844 INFO hook.py line 689 2389709] monitor : 0.7878 0.8681 [2025-03-11 03:05:01,844 INFO hook.py line 689 2389709] curtain : 0.6702 0.8799 [2025-03-11 03:05:01,844 INFO hook.py line 689 2389709] book : 0.4019 0.5968 [2025-03-11 03:05:01,844 INFO hook.py line 689 2389709] armchair : 0.4930 0.6437 [2025-03-11 03:05:01,844 INFO hook.py line 689 2389709] coffee table : 0.6142 0.7359 [2025-03-11 03:05:01,844 INFO hook.py line 689 2389709] box : 0.3191 0.4691 [2025-03-11 03:05:01,844 INFO hook.py line 689 2389709] refrigerator : 0.5906 0.6792 [2025-03-11 03:05:01,844 INFO hook.py line 689 2389709] lamp : 0.6821 0.8125 [2025-03-11 03:05:01,845 INFO hook.py line 689 2389709] kitchen cabinet: 0.6402 0.9125 [2025-03-11 03:05:01,845 INFO hook.py line 689 2389709] towel : 0.4917 0.6802 [2025-03-11 03:05:01,845 INFO hook.py line 689 2389709] clothes : 0.1574 0.3451 [2025-03-11 03:05:01,845 INFO hook.py line 689 2389709] tv : 0.7820 0.8686 [2025-03-11 03:05:01,845 INFO hook.py line 689 2389709] nightstand : 0.6277 0.7700 [2025-03-11 03:05:01,845 INFO hook.py line 689 2389709] counter : 0.3040 0.4954 [2025-03-11 03:05:01,845 INFO hook.py line 689 2389709] dresser : 0.3642 0.4898 [2025-03-11 03:05:01,845 INFO hook.py line 689 2389709] stool : 0.4704 0.6721 [2025-03-11 03:05:01,845 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 03:05:01,846 INFO hook.py line 689 2389709] plant : 0.7792 0.8425 [2025-03-11 03:05:01,846 INFO hook.py line 689 2389709] ceiling : 0.9010 0.9463 [2025-03-11 03:05:01,846 INFO hook.py line 689 2389709] bathtub : 0.8714 0.9071 [2025-03-11 03:05:01,846 INFO hook.py line 689 2389709] end table : 0.1796 0.2612 [2025-03-11 03:05:01,846 INFO hook.py line 689 2389709] dining table : 0.0592 0.0666 [2025-03-11 03:05:01,846 INFO hook.py line 689 2389709] keyboard : 0.4168 0.6084 [2025-03-11 03:05:01,846 INFO hook.py line 689 2389709] bag : 0.2604 0.3450 [2025-03-11 03:05:01,846 INFO hook.py line 689 2389709] backpack : 0.5903 0.7546 [2025-03-11 03:05:01,846 INFO hook.py line 689 2389709] toilet paper : 0.4446 0.5268 [2025-03-11 03:05:01,846 INFO hook.py line 689 2389709] printer : 0.3852 0.5388 [2025-03-11 03:05:01,847 INFO hook.py line 689 2389709] tv stand : 0.3979 0.5030 [2025-03-11 03:05:01,847 INFO hook.py line 689 2389709] whiteboard : 0.4828 0.6899 [2025-03-11 03:05:01,847 INFO hook.py line 689 2389709] blanket : 0.0734 0.0880 [2025-03-11 03:05:01,847 INFO hook.py line 689 2389709] shower curtain : 0.5292 0.5746 [2025-03-11 03:05:01,847 INFO hook.py line 689 2389709] trash can : 0.6031 0.7416 [2025-03-11 03:05:01,847 INFO hook.py line 689 2389709] closet : 0.1528 0.3404 [2025-03-11 03:05:01,847 INFO hook.py line 689 2389709] stairs : 0.4970 0.7091 [2025-03-11 03:05:01,847 INFO hook.py line 689 2389709] microwave : 0.5184 0.7492 [2025-03-11 03:05:01,847 INFO hook.py line 689 2389709] stove : 0.6205 0.7483 [2025-03-11 03:05:01,848 INFO hook.py line 689 2389709] shoe : 0.4744 0.6741 [2025-03-11 03:05:01,848 INFO hook.py line 689 2389709] computer tower : 0.4235 0.8377 [2025-03-11 03:05:01,848 INFO hook.py line 689 2389709] bottle : 0.1214 0.2663 [2025-03-11 03:05:01,848 INFO hook.py line 689 2389709] bin : 0.0001 0.0001 [2025-03-11 03:05:01,848 INFO hook.py line 689 2389709] ottoman : 0.1754 0.1928 [2025-03-11 03:05:01,848 INFO hook.py line 689 2389709] bench : 0.2639 0.2935 [2025-03-11 03:05:01,848 INFO hook.py line 689 2389709] board : 0.1267 0.3046 [2025-03-11 03:05:01,848 INFO hook.py line 689 2389709] washing machine: 0.8119 0.9147 [2025-03-11 03:05:01,848 INFO hook.py line 689 2389709] mirror : 0.3348 0.4741 [2025-03-11 03:05:01,848 INFO hook.py line 689 2389709] copier : 0.7987 0.9206 [2025-03-11 03:05:01,849 INFO hook.py line 689 2389709] basket : 0.0016 0.0055 [2025-03-11 03:05:01,849 INFO hook.py line 689 2389709] sofa chair : 0.1351 0.2337 [2025-03-11 03:05:01,849 INFO hook.py line 689 2389709] file cabinet : 0.4761 0.6051 [2025-03-11 03:05:01,849 INFO hook.py line 689 2389709] fan : 0.2231 0.2418 [2025-03-11 03:05:01,849 INFO hook.py line 689 2389709] laptop : 0.4604 0.6769 [2025-03-11 03:05:01,849 INFO hook.py line 689 2389709] shower : 0.0763 0.0796 [2025-03-11 03:05:01,849 INFO hook.py line 689 2389709] paper : 0.0783 0.1722 [2025-03-11 03:05:01,849 INFO hook.py line 689 2389709] person : 0.3751 0.4513 [2025-03-11 03:05:01,849 INFO hook.py line 689 2389709] paper towel dispenser: 0.4647 0.8186 [2025-03-11 03:05:01,849 INFO hook.py line 689 2389709] oven : 0.1069 0.1218 [2025-03-11 03:05:01,850 INFO hook.py line 689 2389709] blinds : 0.0216 0.0248 [2025-03-11 03:05:01,850 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 03:05:01,850 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 03:05:01,850 INFO hook.py line 689 2389709] blackboard : 0.6015 0.6396 [2025-03-11 03:05:01,850 INFO hook.py line 689 2389709] piano : 0.5892 0.6700 [2025-03-11 03:05:01,850 INFO hook.py line 689 2389709] suitcase : 0.6708 0.7495 [2025-03-11 03:05:01,850 INFO hook.py line 689 2389709] rail : 0.0339 0.0373 [2025-03-11 03:05:01,850 INFO hook.py line 689 2389709] radiator : 0.5729 0.6886 [2025-03-11 03:05:01,850 INFO hook.py line 689 2389709] recycling bin : 0.4883 0.6455 [2025-03-11 03:05:01,851 INFO hook.py line 689 2389709] container : 0.0016 0.0024 [2025-03-11 03:05:01,851 INFO hook.py line 689 2389709] wardrobe : 0.1282 0.1763 [2025-03-11 03:05:01,851 INFO hook.py line 689 2389709] soap dispenser : 0.7615 0.8762 [2025-03-11 03:05:01,851 INFO hook.py line 689 2389709] telephone : 0.2346 0.3201 [2025-03-11 03:05:01,851 INFO hook.py line 689 2389709] bucket : 0.2409 0.4138 [2025-03-11 03:05:01,851 INFO hook.py line 689 2389709] clock : 0.2608 0.2837 [2025-03-11 03:05:01,851 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 03:05:01,851 INFO hook.py line 689 2389709] light : 0.1933 0.2567 [2025-03-11 03:05:01,851 INFO hook.py line 689 2389709] laundry basket : 0.0028 0.0029 [2025-03-11 03:05:01,852 INFO hook.py line 689 2389709] pipe : 0.1081 0.2083 [2025-03-11 03:05:01,852 INFO hook.py line 689 2389709] clothes dryer : 0.7794 0.8450 [2025-03-11 03:05:01,852 INFO hook.py line 689 2389709] guitar : 0.5427 0.8680 [2025-03-11 03:05:01,852 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 03:05:01,852 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 03:05:01,852 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 03:05:01,852 INFO hook.py line 689 2389709] column : 0.1360 0.1921 [2025-03-11 03:05:01,852 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 03:05:01,852 INFO hook.py line 689 2389709] ladder : 0.4189 0.5196 [2025-03-11 03:05:01,852 INFO hook.py line 689 2389709] bathroom stall : 0.3814 0.4149 [2025-03-11 03:05:01,853 INFO hook.py line 689 2389709] shower wall : 0.4918 0.6690 [2025-03-11 03:05:01,853 INFO hook.py line 689 2389709] cup : 0.1952 0.4182 [2025-03-11 03:05:01,853 INFO hook.py line 689 2389709] jacket : 0.1553 0.1844 [2025-03-11 03:05:01,853 INFO hook.py line 689 2389709] storage bin : 0.0209 0.0253 [2025-03-11 03:05:01,853 INFO hook.py line 689 2389709] coffee maker : 0.4795 0.9934 [2025-03-11 03:05:01,853 INFO hook.py line 689 2389709] dishwasher : 0.0819 0.0981 [2025-03-11 03:05:01,853 INFO hook.py line 689 2389709] paper towel roll: 0.2443 0.3101 [2025-03-11 03:05:01,853 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 03:05:01,853 INFO hook.py line 689 2389709] mat : 0.1758 0.1994 [2025-03-11 03:05:01,853 INFO hook.py line 689 2389709] windowsill : 0.1324 0.1423 [2025-03-11 03:05:01,854 INFO hook.py line 689 2389709] bar : 0.1383 0.2337 [2025-03-11 03:05:01,854 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 03:05:01,854 INFO hook.py line 689 2389709] bulletin board : 0.1316 0.1385 [2025-03-11 03:05:01,854 INFO hook.py line 689 2389709] ironing board : 0.0120 0.0184 [2025-03-11 03:05:01,854 INFO hook.py line 689 2389709] fireplace : 0.6310 0.6742 [2025-03-11 03:05:01,854 INFO hook.py line 689 2389709] soap dish : 0.3391 0.4381 [2025-03-11 03:05:01,854 INFO hook.py line 689 2389709] kitchen counter: 0.5911 0.7561 [2025-03-11 03:05:01,854 INFO hook.py line 689 2389709] doorframe : 0.3917 0.5951 [2025-03-11 03:05:01,854 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2945 0.3566 [2025-03-11 03:05:01,854 INFO hook.py line 689 2389709] mini fridge : 0.3817 0.6265 [2025-03-11 03:05:01,855 INFO hook.py line 689 2389709] fire extinguisher: 0.0564 0.1076 [2025-03-11 03:05:01,855 INFO hook.py line 689 2389709] ball : 0.5277 0.6143 [2025-03-11 03:05:01,855 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 03:05:01,855 INFO hook.py line 689 2389709] shower curtain rod: 0.2903 0.8907 [2025-03-11 03:05:01,855 INFO hook.py line 689 2389709] water cooler : 0.3662 0.3828 [2025-03-11 03:05:01,855 INFO hook.py line 689 2389709] paper cutter : 0.2067 0.3675 [2025-03-11 03:05:01,855 INFO hook.py line 689 2389709] tray : 0.0647 0.1138 [2025-03-11 03:05:01,855 INFO hook.py line 689 2389709] shower door : 0.2631 0.3058 [2025-03-11 03:05:01,855 INFO hook.py line 689 2389709] pillar : 0.0015 0.0016 [2025-03-11 03:05:01,855 INFO hook.py line 689 2389709] ledge : 0.0784 0.1212 [2025-03-11 03:05:01,855 INFO hook.py line 689 2389709] toaster oven : 0.0080 0.0098 [2025-03-11 03:05:01,856 INFO hook.py line 689 2389709] mouse : 0.0742 0.2922 [2025-03-11 03:05:01,856 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6882 0.8540 [2025-03-11 03:05:01,856 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 03:05:01,856 INFO hook.py line 689 2389709] cart : 0.0601 0.0645 [2025-03-11 03:05:01,856 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 03:05:01,856 INFO hook.py line 689 2389709] scale : 0.4214 0.9113 [2025-03-11 03:05:01,856 INFO hook.py line 689 2389709] tissue box : 0.1432 0.2057 [2025-03-11 03:05:01,856 INFO hook.py line 689 2389709] light switch : 0.0340 0.2910 [2025-03-11 03:05:01,856 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 03:05:01,856 INFO hook.py line 689 2389709] power outlet : 0.1812 0.2786 [2025-03-11 03:05:01,856 INFO hook.py line 689 2389709] decoration : 0.3103 0.5909 [2025-03-11 03:05:01,857 INFO hook.py line 689 2389709] sign : 0.0500 0.2311 [2025-03-11 03:05:01,857 INFO hook.py line 689 2389709] projector : 0.0902 1.0000 [2025-03-11 03:05:01,857 INFO hook.py line 689 2389709] closet door : 0.0723 0.0905 [2025-03-11 03:05:01,857 INFO hook.py line 689 2389709] vacuum cleaner : 0.8546 0.8910 [2025-03-11 03:05:01,857 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 03:05:01,857 INFO hook.py line 689 2389709] plunger : 0.4167 0.9677 [2025-03-11 03:05:01,857 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 03:05:01,857 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 03:05:01,857 INFO hook.py line 689 2389709] dish rack : 0.5050 0.7927 [2025-03-11 03:05:01,857 INFO hook.py line 689 2389709] broom : 0.0000 0.0000 [2025-03-11 03:05:01,857 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 03:05:01,858 INFO hook.py line 689 2389709] range hood : 0.5579 0.6672 [2025-03-11 03:05:01,858 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 [2025-03-11 03:05:01,858 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 03:05:01,858 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 03:05:01,858 INFO hook.py line 689 2389709] handicap bar : 0.0264 0.3971 [2025-03-11 03:05:01,858 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 03:05:01,858 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 03:05:01,858 INFO hook.py line 689 2389709] shower floor : 0.0000 0.0000 [2025-03-11 03:05:01,858 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 03:05:01,858 INFO hook.py line 689 2389709] mailbox : 0.2730 0.2732 [2025-03-11 03:05:01,858 INFO hook.py line 689 2389709] bowl : 0.0065 0.0079 [2025-03-11 03:05:01,859 INFO hook.py line 689 2389709] paper bag : 0.0823 0.1462 [2025-03-11 03:05:01,859 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 03:05:01,859 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 03:05:01,859 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 03:05:01,859 INFO hook.py line 689 2389709] divider : 0.4889 0.5619 [2025-03-11 03:05:01,859 INFO hook.py line 689 2389709] laundry detergent: 0.0522 0.0588 [2025-03-11 03:05:01,859 INFO hook.py line 689 2389709] bathroom counter: 0.3264 0.3707 [2025-03-11 03:05:01,859 INFO hook.py line 689 2389709] object : 0.0404 0.0715 [2025-03-11 03:05:01,859 INFO hook.py line 689 2389709] bathroom vanity: 0.3907 0.5664 [2025-03-11 03:05:01,859 INFO hook.py line 689 2389709] closet wall : 0.0382 0.0413 [2025-03-11 03:05:01,859 INFO hook.py line 689 2389709] laundry hamper : 0.0324 0.0390 [2025-03-11 03:05:01,860 INFO hook.py line 689 2389709] bathroom stall door: 0.5628 0.6944 [2025-03-11 03:05:01,860 INFO hook.py line 689 2389709] ceiling light : 0.2493 0.3235 [2025-03-11 03:05:01,860 INFO hook.py line 689 2389709] trash bin : 0.2996 0.5289 [2025-03-11 03:05:01,860 INFO hook.py line 689 2389709] dumbbell : 0.3048 0.9779 [2025-03-11 03:05:01,860 INFO hook.py line 689 2389709] stair rail : 0.1283 0.1468 [2025-03-11 03:05:01,860 INFO hook.py line 689 2389709] tube : 0.0404 0.1574 [2025-03-11 03:05:01,860 INFO hook.py line 689 2389709] bathroom cabinet: 0.2551 0.6457 [2025-03-11 03:05:01,860 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 03:05:01,860 INFO hook.py line 689 2389709] closet rod : 0.2467 0.8252 [2025-03-11 03:05:01,860 INFO hook.py line 689 2389709] coffee kettle : 0.0371 0.0892 [2025-03-11 03:05:01,860 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 03:05:01,861 INFO hook.py line 689 2389709] shower head : 0.2060 0.2535 [2025-03-11 03:05:01,861 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 03:05:01,861 INFO hook.py line 689 2389709] case of water bottles: 0.0681 0.0681 [2025-03-11 03:05:01,861 INFO hook.py line 689 2389709] coat rack : 0.0225 0.0742 [2025-03-11 03:05:01,861 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 03:05:01,861 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 03:05:01,861 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 03:05:01,861 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 03:05:01,861 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 03:05:01,861 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 03:05:01,861 INFO hook.py line 689 2389709] potted plant : 0.0794 0.2408 [2025-03-11 03:05:01,862 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 03:05:01,862 INFO hook.py line 689 2389709] mattress : 0.0010 0.0010 [2025-03-11 03:05:01,862 INFO hook.py line 690 2389709] ######################################## [2025-03-11 03:05:01,862 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2783/0.3827/0.8074. [2025-03-11 03:05:01,863 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 03:05:01,877 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2832 [2025-03-11 03:05:01,877 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 03:05:31,390 INFO hook.py line 566 2389709] Train: [35/100][50/300] Data 0.002 (0.003) Batch 0.556 (0.491) Remain 02:41:30 loss: 0.9128 Lr: 3.92508e-03 [2025-03-11 03:05:56,185 INFO hook.py line 566 2389709] Train: [35/100][100/300] Data 0.002 (0.002) Batch 0.512 (0.493) Remain 02:41:58 loss: 0.5981 Lr: 3.91374e-03 [2025-03-11 03:06:20,923 INFO hook.py line 566 2389709] Train: [35/100][150/300] Data 0.003 (0.002) Batch 0.478 (0.494) Remain 02:41:43 loss: 0.8963 Lr: 3.90235e-03 [2025-03-11 03:06:45,138 INFO hook.py line 566 2389709] Train: [35/100][200/300] Data 0.003 (0.002) Batch 0.475 (0.491) Remain 02:40:31 loss: 0.8613 Lr: 3.89093e-03 [2025-03-11 03:07:09,749 INFO hook.py line 566 2389709] Train: [35/100][250/300] Data 0.002 (0.002) Batch 0.460 (0.492) Remain 02:40:10 loss: 0.9030 Lr: 3.87946e-03 [2025-03-11 03:07:33,572 INFO hook.py line 566 2389709] Train: [35/100][300/300] Data 0.002 (0.002) Batch 0.541 (0.489) Remain 02:38:56 loss: 0.8743 Lr: 3.86794e-03 [2025-03-11 03:07:33,573 INFO misc.py line 135 2389709] Train result: loss: 0.8423 [2025-03-11 03:07:33,669 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 03:08:27,418 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4315 [2025-03-11 03:08:27,464 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.3142 [2025-03-11 03:08:27,501 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6101 [2025-03-11 03:08:27,550 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5441 [2025-03-11 03:08:27,605 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0584 [2025-03-11 03:08:27,672 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8575 [2025-03-11 03:08:27,723 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.0659 [2025-03-11 03:08:27,761 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4663 [2025-03-11 03:08:27,807 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1048 [2025-03-11 03:08:27,854 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.0241 [2025-03-11 03:08:27,902 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2479 [2025-03-11 03:08:27,939 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.9231 [2025-03-11 03:08:27,990 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.4927 [2025-03-11 03:08:28,032 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4211 [2025-03-11 03:08:28,071 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0412 [2025-03-11 03:08:28,137 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1632 [2025-03-11 03:08:28,175 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3206 [2025-03-11 03:08:28,212 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8799 [2025-03-11 03:08:28,256 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2179 [2025-03-11 03:08:28,292 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7667 [2025-03-11 03:08:28,331 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6483 [2025-03-11 03:08:28,375 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.4771 [2025-03-11 03:08:28,412 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5390 [2025-03-11 03:08:28,463 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.3094 [2025-03-11 03:08:28,508 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7787 [2025-03-11 03:08:28,555 INFO hook.py line 748 2389709] Test: [26/78] Loss 1.9647 [2025-03-11 03:08:28,610 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.2745 [2025-03-11 03:08:28,650 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5316 [2025-03-11 03:08:28,688 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1044 [2025-03-11 03:08:28,746 INFO hook.py line 748 2389709] Test: [30/78] Loss 2.1098 [2025-03-11 03:08:28,804 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.8164 [2025-03-11 03:08:28,838 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2031 [2025-03-11 03:08:28,900 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.9127 [2025-03-11 03:08:28,940 INFO hook.py line 748 2389709] Test: [34/78] Loss 3.3277 [2025-03-11 03:08:28,980 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1973 [2025-03-11 03:08:29,019 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4848 [2025-03-11 03:08:29,061 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.0574 [2025-03-11 03:08:29,094 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7820 [2025-03-11 03:08:29,161 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.8765 [2025-03-11 03:08:29,207 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5303 [2025-03-11 03:08:29,256 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3125 [2025-03-11 03:08:29,284 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4477 [2025-03-11 03:08:29,321 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2368 [2025-03-11 03:08:29,382 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9552 [2025-03-11 03:08:29,427 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.3731 [2025-03-11 03:08:29,476 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0152 [2025-03-11 03:08:29,515 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.1718 [2025-03-11 03:08:29,548 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9619 [2025-03-11 03:08:29,579 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4525 [2025-03-11 03:08:29,611 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8092 [2025-03-11 03:08:29,641 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9480 [2025-03-11 03:08:29,676 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6053 [2025-03-11 03:08:29,703 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2955 [2025-03-11 03:08:29,737 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.7132 [2025-03-11 03:08:29,775 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.2566 [2025-03-11 03:08:29,815 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8246 [2025-03-11 03:08:29,848 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.9859 [2025-03-11 03:08:29,875 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.8169 [2025-03-11 03:08:29,913 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8847 [2025-03-11 03:08:29,950 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4203 [2025-03-11 03:08:29,974 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.6667 [2025-03-11 03:08:30,010 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9469 [2025-03-11 03:08:30,046 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.3592 [2025-03-11 03:08:30,104 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.5967 [2025-03-11 03:08:30,133 INFO hook.py line 748 2389709] Test: [65/78] Loss 1.7451 [2025-03-11 03:08:30,176 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7235 [2025-03-11 03:08:30,216 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0840 [2025-03-11 03:08:30,252 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0359 [2025-03-11 03:08:30,283 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.2968 [2025-03-11 03:08:30,344 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.1809 [2025-03-11 03:08:30,388 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.4470 [2025-03-11 03:08:30,443 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7928 [2025-03-11 03:08:30,497 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6427 [2025-03-11 03:08:30,539 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.0356 [2025-03-11 03:08:30,590 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6153 [2025-03-11 03:08:30,619 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.5695 [2025-03-11 03:08:30,678 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5367 [2025-03-11 03:08:30,705 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2563 [2025-03-11 03:08:31,960 INFO hook.py line 674 2389709] ######################################## [2025-03-11 03:08:31,960 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 03:08:31,960 INFO hook.py line 680 2389709] ######################################## [2025-03-11 03:08:31,960 INFO hook.py line 689 2389709] wall : 0.7804 0.9323 [2025-03-11 03:08:31,960 INFO hook.py line 689 2389709] chair : 0.7263 0.9176 [2025-03-11 03:08:31,960 INFO hook.py line 689 2389709] floor : 0.9563 0.9816 [2025-03-11 03:08:31,960 INFO hook.py line 689 2389709] table : 0.5976 0.7087 [2025-03-11 03:08:31,961 INFO hook.py line 689 2389709] door : 0.6222 0.7808 [2025-03-11 03:08:31,961 INFO hook.py line 689 2389709] couch : 0.8013 0.8933 [2025-03-11 03:08:31,961 INFO hook.py line 689 2389709] cabinet : 0.3408 0.5518 [2025-03-11 03:08:31,961 INFO hook.py line 689 2389709] shelf : 0.3059 0.3543 [2025-03-11 03:08:31,961 INFO hook.py line 689 2389709] desk : 0.5432 0.7045 [2025-03-11 03:08:31,961 INFO hook.py line 689 2389709] office chair : 0.0094 0.0095 [2025-03-11 03:08:31,961 INFO hook.py line 689 2389709] bed : 0.7459 0.9042 [2025-03-11 03:08:31,961 INFO hook.py line 689 2389709] pillow : 0.5088 0.5742 [2025-03-11 03:08:31,961 INFO hook.py line 689 2389709] sink : 0.6111 0.7394 [2025-03-11 03:08:31,961 INFO hook.py line 689 2389709] picture : 0.3591 0.4352 [2025-03-11 03:08:31,962 INFO hook.py line 689 2389709] window : 0.5294 0.7194 [2025-03-11 03:08:31,962 INFO hook.py line 689 2389709] toilet : 0.9181 0.9429 [2025-03-11 03:08:31,962 INFO hook.py line 689 2389709] bookshelf : 0.4510 0.7046 [2025-03-11 03:08:31,962 INFO hook.py line 689 2389709] monitor : 0.8270 0.8632 [2025-03-11 03:08:31,962 INFO hook.py line 689 2389709] curtain : 0.6493 0.7918 [2025-03-11 03:08:31,962 INFO hook.py line 689 2389709] book : 0.4236 0.7590 [2025-03-11 03:08:31,962 INFO hook.py line 689 2389709] armchair : 0.3243 0.3917 [2025-03-11 03:08:31,962 INFO hook.py line 689 2389709] coffee table : 0.5104 0.7206 [2025-03-11 03:08:31,962 INFO hook.py line 689 2389709] box : 0.1335 0.1422 [2025-03-11 03:08:31,962 INFO hook.py line 689 2389709] refrigerator : 0.6215 0.7381 [2025-03-11 03:08:31,962 INFO hook.py line 689 2389709] lamp : 0.6361 0.7378 [2025-03-11 03:08:31,962 INFO hook.py line 689 2389709] kitchen cabinet: 0.6697 0.8028 [2025-03-11 03:08:31,963 INFO hook.py line 689 2389709] towel : 0.3373 0.5135 [2025-03-11 03:08:31,963 INFO hook.py line 689 2389709] clothes : 0.1690 0.3754 [2025-03-11 03:08:31,963 INFO hook.py line 689 2389709] tv : 0.7850 0.9256 [2025-03-11 03:08:31,963 INFO hook.py line 689 2389709] nightstand : 0.6854 0.8075 [2025-03-11 03:08:31,963 INFO hook.py line 689 2389709] counter : 0.2357 0.3663 [2025-03-11 03:08:31,963 INFO hook.py line 689 2389709] dresser : 0.3606 0.4624 [2025-03-11 03:08:31,963 INFO hook.py line 689 2389709] stool : 0.5239 0.6934 [2025-03-11 03:08:31,963 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 03:08:31,963 INFO hook.py line 689 2389709] plant : 0.6643 0.8998 [2025-03-11 03:08:31,963 INFO hook.py line 689 2389709] ceiling : 0.9146 0.9459 [2025-03-11 03:08:31,963 INFO hook.py line 689 2389709] bathtub : 0.8424 0.9247 [2025-03-11 03:08:31,964 INFO hook.py line 689 2389709] end table : 0.0854 0.1140 [2025-03-11 03:08:31,964 INFO hook.py line 689 2389709] dining table : 0.0242 0.0303 [2025-03-11 03:08:31,964 INFO hook.py line 689 2389709] keyboard : 0.3760 0.4731 [2025-03-11 03:08:31,964 INFO hook.py line 689 2389709] bag : 0.2469 0.3290 [2025-03-11 03:08:31,964 INFO hook.py line 689 2389709] backpack : 0.5603 0.7186 [2025-03-11 03:08:31,964 INFO hook.py line 689 2389709] toilet paper : 0.4252 0.5780 [2025-03-11 03:08:31,964 INFO hook.py line 689 2389709] printer : 0.3628 0.5159 [2025-03-11 03:08:31,964 INFO hook.py line 689 2389709] tv stand : 0.6316 0.9517 [2025-03-11 03:08:31,964 INFO hook.py line 689 2389709] whiteboard : 0.5259 0.6477 [2025-03-11 03:08:31,964 INFO hook.py line 689 2389709] blanket : 0.1103 0.1885 [2025-03-11 03:08:31,964 INFO hook.py line 689 2389709] shower curtain : 0.5813 0.7394 [2025-03-11 03:08:31,965 INFO hook.py line 689 2389709] trash can : 0.6272 0.7744 [2025-03-11 03:08:31,965 INFO hook.py line 689 2389709] closet : 0.0439 0.0463 [2025-03-11 03:08:31,965 INFO hook.py line 689 2389709] stairs : 0.4364 0.7334 [2025-03-11 03:08:31,965 INFO hook.py line 689 2389709] microwave : 0.3987 0.7773 [2025-03-11 03:08:31,965 INFO hook.py line 689 2389709] stove : 0.5473 0.9018 [2025-03-11 03:08:31,965 INFO hook.py line 689 2389709] shoe : 0.4453 0.5236 [2025-03-11 03:08:31,965 INFO hook.py line 689 2389709] computer tower : 0.5554 0.7514 [2025-03-11 03:08:31,965 INFO hook.py line 689 2389709] bottle : 0.1880 0.3506 [2025-03-11 03:08:31,965 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 03:08:31,965 INFO hook.py line 689 2389709] ottoman : 0.4955 0.6563 [2025-03-11 03:08:31,965 INFO hook.py line 689 2389709] bench : 0.3154 0.3845 [2025-03-11 03:08:31,965 INFO hook.py line 689 2389709] board : 0.1770 0.2295 [2025-03-11 03:08:31,966 INFO hook.py line 689 2389709] washing machine: 0.7820 0.8829 [2025-03-11 03:08:31,966 INFO hook.py line 689 2389709] mirror : 0.3406 0.4569 [2025-03-11 03:08:31,966 INFO hook.py line 689 2389709] copier : 0.7248 0.8208 [2025-03-11 03:08:31,966 INFO hook.py line 689 2389709] basket : 0.0002 0.0004 [2025-03-11 03:08:31,966 INFO hook.py line 689 2389709] sofa chair : 0.2152 0.4540 [2025-03-11 03:08:31,966 INFO hook.py line 689 2389709] file cabinet : 0.3726 0.4585 [2025-03-11 03:08:31,966 INFO hook.py line 689 2389709] fan : 0.3262 0.3660 [2025-03-11 03:08:31,966 INFO hook.py line 689 2389709] laptop : 0.5505 0.6455 [2025-03-11 03:08:31,966 INFO hook.py line 689 2389709] shower : 0.2989 0.3596 [2025-03-11 03:08:31,966 INFO hook.py line 689 2389709] paper : 0.0174 0.0203 [2025-03-11 03:08:31,966 INFO hook.py line 689 2389709] person : 0.2855 0.4500 [2025-03-11 03:08:31,967 INFO hook.py line 689 2389709] paper towel dispenser: 0.6491 0.7746 [2025-03-11 03:08:31,967 INFO hook.py line 689 2389709] oven : 0.0112 0.0162 [2025-03-11 03:08:31,967 INFO hook.py line 689 2389709] blinds : 0.0133 0.0154 [2025-03-11 03:08:31,967 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 03:08:31,967 INFO hook.py line 689 2389709] plate : 0.0358 0.1065 [2025-03-11 03:08:31,967 INFO hook.py line 689 2389709] blackboard : 0.5639 0.6224 [2025-03-11 03:08:31,967 INFO hook.py line 689 2389709] piano : 0.4437 0.5400 [2025-03-11 03:08:31,967 INFO hook.py line 689 2389709] suitcase : 0.5309 0.7281 [2025-03-11 03:08:31,967 INFO hook.py line 689 2389709] rail : 0.0368 0.0386 [2025-03-11 03:08:31,967 INFO hook.py line 689 2389709] radiator : 0.5434 0.6306 [2025-03-11 03:08:31,967 INFO hook.py line 689 2389709] recycling bin : 0.4429 0.5248 [2025-03-11 03:08:31,967 INFO hook.py line 689 2389709] container : 0.0814 0.3308 [2025-03-11 03:08:31,968 INFO hook.py line 689 2389709] wardrobe : 0.1414 0.1822 [2025-03-11 03:08:31,968 INFO hook.py line 689 2389709] soap dispenser : 0.5876 0.7075 [2025-03-11 03:08:31,968 INFO hook.py line 689 2389709] telephone : 0.2390 0.5871 [2025-03-11 03:08:31,968 INFO hook.py line 689 2389709] bucket : 0.1147 0.1179 [2025-03-11 03:08:31,968 INFO hook.py line 689 2389709] clock : 0.2521 0.3431 [2025-03-11 03:08:31,968 INFO hook.py line 689 2389709] stand : 0.0007 0.0019 [2025-03-11 03:08:31,968 INFO hook.py line 689 2389709] light : 0.0162 0.0208 [2025-03-11 03:08:31,968 INFO hook.py line 689 2389709] laundry basket : 0.0359 0.1078 [2025-03-11 03:08:31,968 INFO hook.py line 689 2389709] pipe : 0.0424 0.1095 [2025-03-11 03:08:31,968 INFO hook.py line 689 2389709] clothes dryer : 0.2049 0.2152 [2025-03-11 03:08:31,968 INFO hook.py line 689 2389709] guitar : 0.1945 0.2018 [2025-03-11 03:08:31,969 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 03:08:31,969 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 03:08:31,969 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 03:08:31,969 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 03:08:31,969 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 03:08:31,969 INFO hook.py line 689 2389709] ladder : 0.2530 0.2958 [2025-03-11 03:08:31,969 INFO hook.py line 689 2389709] bathroom stall : 0.3128 0.3303 [2025-03-11 03:08:31,969 INFO hook.py line 689 2389709] shower wall : 0.5030 0.6752 [2025-03-11 03:08:31,969 INFO hook.py line 689 2389709] cup : 0.1926 0.4006 [2025-03-11 03:08:31,969 INFO hook.py line 689 2389709] jacket : 0.1102 0.1406 [2025-03-11 03:08:31,969 INFO hook.py line 689 2389709] storage bin : 0.0655 0.1466 [2025-03-11 03:08:31,970 INFO hook.py line 689 2389709] coffee maker : 0.7597 0.9673 [2025-03-11 03:08:31,970 INFO hook.py line 689 2389709] dishwasher : 0.2679 0.4395 [2025-03-11 03:08:31,970 INFO hook.py line 689 2389709] paper towel roll: 0.2880 0.2952 [2025-03-11 03:08:31,970 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 03:08:31,970 INFO hook.py line 689 2389709] mat : 0.1997 0.2529 [2025-03-11 03:08:31,970 INFO hook.py line 689 2389709] windowsill : 0.1346 0.1505 [2025-03-11 03:08:31,970 INFO hook.py line 689 2389709] bar : 0.1308 0.1891 [2025-03-11 03:08:31,970 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 03:08:31,970 INFO hook.py line 689 2389709] bulletin board : 0.3149 0.4170 [2025-03-11 03:08:31,970 INFO hook.py line 689 2389709] ironing board : 0.0299 0.0308 [2025-03-11 03:08:31,970 INFO hook.py line 689 2389709] fireplace : 0.3287 0.3355 [2025-03-11 03:08:31,970 INFO hook.py line 689 2389709] soap dish : 0.3491 0.4647 [2025-03-11 03:08:31,971 INFO hook.py line 689 2389709] kitchen counter: 0.5379 0.6514 [2025-03-11 03:08:31,971 INFO hook.py line 689 2389709] doorframe : 0.3636 0.5551 [2025-03-11 03:08:31,971 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3946 0.5628 [2025-03-11 03:08:31,971 INFO hook.py line 689 2389709] mini fridge : 0.4359 0.6026 [2025-03-11 03:08:31,971 INFO hook.py line 689 2389709] fire extinguisher: 0.1466 0.2470 [2025-03-11 03:08:31,971 INFO hook.py line 689 2389709] ball : 0.5734 0.8835 [2025-03-11 03:08:31,971 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 03:08:31,971 INFO hook.py line 689 2389709] shower curtain rod: 0.3378 0.8664 [2025-03-11 03:08:31,971 INFO hook.py line 689 2389709] water cooler : 0.2538 0.3689 [2025-03-11 03:08:31,971 INFO hook.py line 689 2389709] paper cutter : 0.2946 0.3899 [2025-03-11 03:08:31,971 INFO hook.py line 689 2389709] tray : 0.0152 0.0239 [2025-03-11 03:08:31,972 INFO hook.py line 689 2389709] shower door : 0.0781 0.2073 [2025-03-11 03:08:31,972 INFO hook.py line 689 2389709] pillar : 0.0339 0.0342 [2025-03-11 03:08:31,972 INFO hook.py line 689 2389709] ledge : 0.0551 0.0757 [2025-03-11 03:08:31,972 INFO hook.py line 689 2389709] toaster oven : 0.0045 0.0048 [2025-03-11 03:08:31,972 INFO hook.py line 689 2389709] mouse : 0.0697 0.4017 [2025-03-11 03:08:31,972 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.4626 0.5104 [2025-03-11 03:08:31,972 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 03:08:31,972 INFO hook.py line 689 2389709] cart : 0.2029 0.2553 [2025-03-11 03:08:31,972 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 03:08:31,972 INFO hook.py line 689 2389709] scale : 0.2830 0.9545 [2025-03-11 03:08:31,972 INFO hook.py line 689 2389709] tissue box : 0.1537 0.2446 [2025-03-11 03:08:31,972 INFO hook.py line 689 2389709] light switch : 0.0431 0.2879 [2025-03-11 03:08:31,973 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 03:08:31,973 INFO hook.py line 689 2389709] power outlet : 0.1069 0.3138 [2025-03-11 03:08:31,973 INFO hook.py line 689 2389709] decoration : 0.2647 0.3641 [2025-03-11 03:08:31,973 INFO hook.py line 689 2389709] sign : 0.1672 0.1679 [2025-03-11 03:08:31,973 INFO hook.py line 689 2389709] projector : 0.1045 0.8333 [2025-03-11 03:08:31,973 INFO hook.py line 689 2389709] closet door : 0.0471 0.0491 [2025-03-11 03:08:31,973 INFO hook.py line 689 2389709] vacuum cleaner : 0.6857 0.9904 [2025-03-11 03:08:31,973 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 03:08:31,973 INFO hook.py line 689 2389709] plunger : 0.3326 0.9773 [2025-03-11 03:08:31,973 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 03:08:31,973 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 03:08:31,974 INFO hook.py line 689 2389709] dish rack : 0.5399 0.7852 [2025-03-11 03:08:31,974 INFO hook.py line 689 2389709] broom : 0.0589 0.1376 [2025-03-11 03:08:31,974 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 03:08:31,974 INFO hook.py line 689 2389709] range hood : 0.6862 0.8895 [2025-03-11 03:08:31,974 INFO hook.py line 689 2389709] dustpan : 0.0786 0.1418 [2025-03-11 03:08:31,974 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 03:08:31,974 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 03:08:31,974 INFO hook.py line 689 2389709] handicap bar : 0.0008 0.0058 [2025-03-11 03:08:31,974 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 03:08:31,974 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 03:08:31,974 INFO hook.py line 689 2389709] shower floor : 0.8938 0.9817 [2025-03-11 03:08:31,974 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 03:08:31,975 INFO hook.py line 689 2389709] mailbox : 0.0558 0.0558 [2025-03-11 03:08:31,975 INFO hook.py line 689 2389709] bowl : 0.0575 0.0938 [2025-03-11 03:08:31,975 INFO hook.py line 689 2389709] paper bag : 0.0349 0.0511 [2025-03-11 03:08:31,975 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 03:08:31,975 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 03:08:31,975 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 03:08:31,975 INFO hook.py line 689 2389709] divider : 0.4269 0.5350 [2025-03-11 03:08:31,975 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 03:08:31,976 INFO hook.py line 689 2389709] bathroom counter: 0.2729 0.4245 [2025-03-11 03:08:31,976 INFO hook.py line 689 2389709] object : 0.0709 0.1211 [2025-03-11 03:08:31,976 INFO hook.py line 689 2389709] bathroom vanity: 0.4428 0.7533 [2025-03-11 03:08:31,976 INFO hook.py line 689 2389709] closet wall : 0.0390 0.0614 [2025-03-11 03:08:31,976 INFO hook.py line 689 2389709] laundry hamper : 0.0011 0.0011 [2025-03-11 03:08:31,976 INFO hook.py line 689 2389709] bathroom stall door: 0.4898 0.5458 [2025-03-11 03:08:31,976 INFO hook.py line 689 2389709] ceiling light : 0.1951 0.2512 [2025-03-11 03:08:31,976 INFO hook.py line 689 2389709] trash bin : 0.2611 0.3487 [2025-03-11 03:08:31,976 INFO hook.py line 689 2389709] dumbbell : 0.7048 0.9655 [2025-03-11 03:08:31,976 INFO hook.py line 689 2389709] stair rail : 0.1208 0.1397 [2025-03-11 03:08:31,976 INFO hook.py line 689 2389709] tube : 0.0526 0.0702 [2025-03-11 03:08:31,977 INFO hook.py line 689 2389709] bathroom cabinet: 0.2602 0.3841 [2025-03-11 03:08:31,977 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 03:08:31,977 INFO hook.py line 689 2389709] closet rod : 0.2758 0.8797 [2025-03-11 03:08:31,977 INFO hook.py line 689 2389709] coffee kettle : 0.0398 0.0629 [2025-03-11 03:08:31,977 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 03:08:31,977 INFO hook.py line 689 2389709] shower head : 0.2190 0.2585 [2025-03-11 03:08:31,977 INFO hook.py line 689 2389709] keyboard piano : 0.0296 0.0487 [2025-03-11 03:08:31,977 INFO hook.py line 689 2389709] case of water bottles: 0.1054 0.1103 [2025-03-11 03:08:31,977 INFO hook.py line 689 2389709] coat rack : 0.0042 0.0286 [2025-03-11 03:08:31,977 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 03:08:31,977 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 03:08:31,978 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 03:08:31,978 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 03:08:31,978 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 03:08:31,978 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 03:08:31,978 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 03:08:31,978 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 03:08:31,978 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 [2025-03-11 03:08:31,978 INFO hook.py line 690 2389709] ######################################## [2025-03-11 03:08:31,978 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2724/0.3723/0.8047. [2025-03-11 03:08:31,979 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 03:08:31,983 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2832 [2025-03-11 03:08:31,984 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 03:09:02,060 INFO hook.py line 566 2389709] Train: [36/100][50/300] Data 0.002 (0.003) Batch 0.477 (0.502) Remain 02:42:38 loss: 0.7074 Lr: 3.85639e-03 [2025-03-11 03:09:26,863 INFO hook.py line 566 2389709] Train: [36/100][100/300] Data 0.002 (0.002) Batch 0.528 (0.499) Remain 02:41:16 loss: 0.7353 Lr: 3.84480e-03 [2025-03-11 03:09:51,206 INFO hook.py line 566 2389709] Train: [36/100][150/300] Data 0.002 (0.002) Batch 0.516 (0.495) Remain 02:39:33 loss: 0.9561 Lr: 3.83316e-03 [2025-03-11 03:10:15,987 INFO hook.py line 566 2389709] Train: [36/100][200/300] Data 0.002 (0.002) Batch 0.437 (0.495) Remain 02:39:12 loss: 0.6660 Lr: 3.82149e-03 [2025-03-11 03:10:39,916 INFO hook.py line 566 2389709] Train: [36/100][250/300] Data 0.002 (0.002) Batch 0.411 (0.492) Remain 02:37:44 loss: 0.6655 Lr: 3.80977e-03 [2025-03-11 03:11:04,179 INFO hook.py line 566 2389709] Train: [36/100][300/300] Data 0.001 (0.002) Batch 0.508 (0.491) Remain 02:36:58 loss: 0.7151 Lr: 3.79802e-03 [2025-03-11 03:11:04,179 INFO misc.py line 135 2389709] Train result: loss: 0.8140 [2025-03-11 03:11:04,312 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 03:11:53,514 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5519 [2025-03-11 03:11:53,559 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.5223 [2025-03-11 03:11:53,602 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6293 [2025-03-11 03:11:53,651 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5009 [2025-03-11 03:11:53,696 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.1218 [2025-03-11 03:11:53,761 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.4374 [2025-03-11 03:11:53,815 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9214 [2025-03-11 03:11:53,844 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4468 [2025-03-11 03:11:53,895 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2065 [2025-03-11 03:11:53,941 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2350 [2025-03-11 03:11:53,989 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1086 [2025-03-11 03:11:54,026 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.9683 [2025-03-11 03:11:54,078 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.2633 [2025-03-11 03:11:54,123 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.9233 [2025-03-11 03:11:54,159 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.4339 [2025-03-11 03:11:54,210 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1858 [2025-03-11 03:11:54,249 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.0958 [2025-03-11 03:11:54,285 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1957 [2025-03-11 03:11:54,329 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5659 [2025-03-11 03:11:54,365 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.8413 [2025-03-11 03:11:54,400 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.8850 [2025-03-11 03:11:54,443 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6679 [2025-03-11 03:11:54,474 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4719 [2025-03-11 03:11:54,523 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9396 [2025-03-11 03:11:54,570 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5311 [2025-03-11 03:11:54,622 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5626 [2025-03-11 03:11:54,677 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.3367 [2025-03-11 03:11:54,717 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8350 [2025-03-11 03:11:54,746 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1389 [2025-03-11 03:11:54,803 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.9876 [2025-03-11 03:11:54,861 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5029 [2025-03-11 03:11:54,902 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1682 [2025-03-11 03:11:54,960 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.9229 [2025-03-11 03:11:55,004 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.3465 [2025-03-11 03:11:55,048 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.0968 [2025-03-11 03:11:55,083 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3760 [2025-03-11 03:11:55,122 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.7390 [2025-03-11 03:11:55,156 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8448 [2025-03-11 03:11:55,227 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.2107 [2025-03-11 03:11:55,278 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3445 [2025-03-11 03:11:55,323 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2321 [2025-03-11 03:11:55,359 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4770 [2025-03-11 03:11:55,403 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0278 [2025-03-11 03:11:55,460 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9155 [2025-03-11 03:11:55,495 INFO hook.py line 748 2389709] Test: [45/78] Loss 2.0151 [2025-03-11 03:11:55,546 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0107 [2025-03-11 03:11:55,587 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9847 [2025-03-11 03:11:55,622 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0468 [2025-03-11 03:11:55,653 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.1517 [2025-03-11 03:11:55,685 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.7947 [2025-03-11 03:11:55,720 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9911 [2025-03-11 03:11:55,756 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.3237 [2025-03-11 03:11:55,788 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1084 [2025-03-11 03:11:55,824 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2259 [2025-03-11 03:11:55,863 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3864 [2025-03-11 03:11:55,904 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9185 [2025-03-11 03:11:55,937 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.0732 [2025-03-11 03:11:55,963 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.4271 [2025-03-11 03:11:56,005 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7380 [2025-03-11 03:11:56,045 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7705 [2025-03-11 03:11:56,075 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9735 [2025-03-11 03:11:56,115 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.8931 [2025-03-11 03:11:56,151 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2832 [2025-03-11 03:11:56,208 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.5927 [2025-03-11 03:11:56,241 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3617 [2025-03-11 03:11:56,284 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.5965 [2025-03-11 03:11:56,323 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0363 [2025-03-11 03:11:56,364 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0856 [2025-03-11 03:11:56,397 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3647 [2025-03-11 03:11:56,457 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.2004 [2025-03-11 03:11:56,501 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5657 [2025-03-11 03:11:56,558 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6400 [2025-03-11 03:11:56,616 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6047 [2025-03-11 03:11:56,659 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.3166 [2025-03-11 03:11:56,710 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6972 [2025-03-11 03:11:56,739 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.6502 [2025-03-11 03:11:56,801 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6230 [2025-03-11 03:11:56,827 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8634 [2025-03-11 03:11:58,069 INFO hook.py line 674 2389709] ######################################## [2025-03-11 03:11:58,069 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 03:11:58,070 INFO hook.py line 680 2389709] ######################################## [2025-03-11 03:11:58,070 INFO hook.py line 689 2389709] wall : 0.7743 0.9070 [2025-03-11 03:11:58,070 INFO hook.py line 689 2389709] chair : 0.7082 0.9306 [2025-03-11 03:11:58,070 INFO hook.py line 689 2389709] floor : 0.9556 0.9774 [2025-03-11 03:11:58,071 INFO hook.py line 689 2389709] table : 0.6246 0.7195 [2025-03-11 03:11:58,071 INFO hook.py line 689 2389709] door : 0.5984 0.7153 [2025-03-11 03:11:58,071 INFO hook.py line 689 2389709] couch : 0.7506 0.8853 [2025-03-11 03:11:58,071 INFO hook.py line 689 2389709] cabinet : 0.2544 0.3152 [2025-03-11 03:11:58,071 INFO hook.py line 689 2389709] shelf : 0.3907 0.4886 [2025-03-11 03:11:58,071 INFO hook.py line 689 2389709] desk : 0.5195 0.7967 [2025-03-11 03:11:58,072 INFO hook.py line 689 2389709] office chair : 0.0127 0.0132 [2025-03-11 03:11:58,072 INFO hook.py line 689 2389709] bed : 0.7491 0.8312 [2025-03-11 03:11:58,072 INFO hook.py line 689 2389709] pillow : 0.5113 0.7633 [2025-03-11 03:11:58,072 INFO hook.py line 689 2389709] sink : 0.6227 0.7378 [2025-03-11 03:11:58,072 INFO hook.py line 689 2389709] picture : 0.3579 0.4992 [2025-03-11 03:11:58,073 INFO hook.py line 689 2389709] window : 0.5326 0.6146 [2025-03-11 03:11:58,073 INFO hook.py line 689 2389709] toilet : 0.8899 0.9788 [2025-03-11 03:11:58,073 INFO hook.py line 689 2389709] bookshelf : 0.5172 0.6645 [2025-03-11 03:11:58,073 INFO hook.py line 689 2389709] monitor : 0.8216 0.8827 [2025-03-11 03:11:58,073 INFO hook.py line 689 2389709] curtain : 0.4876 0.9358 [2025-03-11 03:11:58,074 INFO hook.py line 689 2389709] book : 0.4134 0.6622 [2025-03-11 03:11:58,074 INFO hook.py line 689 2389709] armchair : 0.4794 0.6228 [2025-03-11 03:11:58,074 INFO hook.py line 689 2389709] coffee table : 0.6103 0.9163 [2025-03-11 03:11:58,074 INFO hook.py line 689 2389709] box : 0.2314 0.4395 [2025-03-11 03:11:58,074 INFO hook.py line 689 2389709] refrigerator : 0.5351 0.7399 [2025-03-11 03:11:58,075 INFO hook.py line 689 2389709] lamp : 0.6608 0.7750 [2025-03-11 03:11:58,075 INFO hook.py line 689 2389709] kitchen cabinet: 0.6370 0.8351 [2025-03-11 03:11:58,075 INFO hook.py line 689 2389709] towel : 0.3975 0.6144 [2025-03-11 03:11:58,075 INFO hook.py line 689 2389709] clothes : 0.1528 0.3062 [2025-03-11 03:11:58,075 INFO hook.py line 689 2389709] tv : 0.6882 0.8179 [2025-03-11 03:11:58,075 INFO hook.py line 689 2389709] nightstand : 0.6446 0.7939 [2025-03-11 03:11:58,076 INFO hook.py line 689 2389709] counter : 0.1702 0.3500 [2025-03-11 03:11:58,076 INFO hook.py line 689 2389709] dresser : 0.3338 0.4665 [2025-03-11 03:11:58,076 INFO hook.py line 689 2389709] stool : 0.3698 0.4396 [2025-03-11 03:11:58,076 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 03:11:58,076 INFO hook.py line 689 2389709] plant : 0.6969 0.8344 [2025-03-11 03:11:58,076 INFO hook.py line 689 2389709] ceiling : 0.9105 0.9548 [2025-03-11 03:11:58,076 INFO hook.py line 689 2389709] bathtub : 0.8662 0.9129 [2025-03-11 03:11:58,077 INFO hook.py line 689 2389709] end table : 0.1082 0.1633 [2025-03-11 03:11:58,077 INFO hook.py line 689 2389709] dining table : 0.0462 0.0555 [2025-03-11 03:11:58,077 INFO hook.py line 689 2389709] keyboard : 0.4039 0.5978 [2025-03-11 03:11:58,077 INFO hook.py line 689 2389709] bag : 0.1661 0.3955 [2025-03-11 03:11:58,078 INFO hook.py line 689 2389709] backpack : 0.5685 0.7583 [2025-03-11 03:11:58,078 INFO hook.py line 689 2389709] toilet paper : 0.4322 0.6426 [2025-03-11 03:11:58,078 INFO hook.py line 689 2389709] printer : 0.4318 0.6048 [2025-03-11 03:11:58,078 INFO hook.py line 689 2389709] tv stand : 0.6490 0.8582 [2025-03-11 03:11:58,079 INFO hook.py line 689 2389709] whiteboard : 0.5068 0.6902 [2025-03-11 03:11:58,079 INFO hook.py line 689 2389709] blanket : 0.0210 0.0261 [2025-03-11 03:11:58,079 INFO hook.py line 689 2389709] shower curtain : 0.5456 0.6839 [2025-03-11 03:11:58,079 INFO hook.py line 689 2389709] trash can : 0.5220 0.7876 [2025-03-11 03:11:58,079 INFO hook.py line 689 2389709] closet : 0.0681 0.0849 [2025-03-11 03:11:58,079 INFO hook.py line 689 2389709] stairs : 0.5192 0.6125 [2025-03-11 03:11:58,080 INFO hook.py line 689 2389709] microwave : 0.3978 0.7811 [2025-03-11 03:11:58,080 INFO hook.py line 689 2389709] stove : 0.5223 0.8733 [2025-03-11 03:11:58,080 INFO hook.py line 689 2389709] shoe : 0.4519 0.5957 [2025-03-11 03:11:58,080 INFO hook.py line 689 2389709] computer tower : 0.5246 0.7788 [2025-03-11 03:11:58,080 INFO hook.py line 689 2389709] bottle : 0.0808 0.2404 [2025-03-11 03:11:58,080 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 03:11:58,080 INFO hook.py line 689 2389709] ottoman : 0.3215 0.3431 [2025-03-11 03:11:58,081 INFO hook.py line 689 2389709] bench : 0.1433 0.1503 [2025-03-11 03:11:58,081 INFO hook.py line 689 2389709] board : 0.1344 0.1984 [2025-03-11 03:11:58,081 INFO hook.py line 689 2389709] washing machine: 0.7579 0.7987 [2025-03-11 03:11:58,081 INFO hook.py line 689 2389709] mirror : 0.3599 0.4661 [2025-03-11 03:11:58,081 INFO hook.py line 689 2389709] copier : 0.7277 0.8566 [2025-03-11 03:11:58,081 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 03:11:58,081 INFO hook.py line 689 2389709] sofa chair : 0.1771 0.3059 [2025-03-11 03:11:58,081 INFO hook.py line 689 2389709] file cabinet : 0.4333 0.6529 [2025-03-11 03:11:58,082 INFO hook.py line 689 2389709] fan : 0.2354 0.3043 [2025-03-11 03:11:58,082 INFO hook.py line 689 2389709] laptop : 0.4927 0.7035 [2025-03-11 03:11:58,082 INFO hook.py line 689 2389709] shower : 0.2027 0.2204 [2025-03-11 03:11:58,082 INFO hook.py line 689 2389709] paper : 0.0276 0.0354 [2025-03-11 03:11:58,082 INFO hook.py line 689 2389709] person : 0.2321 0.3930 [2025-03-11 03:11:58,083 INFO hook.py line 689 2389709] paper towel dispenser: 0.4960 0.7147 [2025-03-11 03:11:58,083 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 [2025-03-11 03:11:58,083 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 03:11:58,083 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 03:11:58,083 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 03:11:58,083 INFO hook.py line 689 2389709] blackboard : 0.5217 0.6612 [2025-03-11 03:11:58,083 INFO hook.py line 689 2389709] piano : 0.4333 0.5055 [2025-03-11 03:11:58,084 INFO hook.py line 689 2389709] suitcase : 0.6542 0.7046 [2025-03-11 03:11:58,084 INFO hook.py line 689 2389709] rail : 0.0286 0.0369 [2025-03-11 03:11:58,084 INFO hook.py line 689 2389709] radiator : 0.5592 0.6993 [2025-03-11 03:11:58,084 INFO hook.py line 689 2389709] recycling bin : 0.3663 0.7383 [2025-03-11 03:11:58,084 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 03:11:58,084 INFO hook.py line 689 2389709] wardrobe : 0.1353 0.1640 [2025-03-11 03:11:58,084 INFO hook.py line 689 2389709] soap dispenser : 0.5571 0.7775 [2025-03-11 03:11:58,085 INFO hook.py line 689 2389709] telephone : 0.2353 0.4635 [2025-03-11 03:11:58,085 INFO hook.py line 689 2389709] bucket : 0.2517 0.4594 [2025-03-11 03:11:58,085 INFO hook.py line 689 2389709] clock : 0.2294 0.2986 [2025-03-11 03:11:58,085 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 03:11:58,085 INFO hook.py line 689 2389709] light : 0.0193 0.0271 [2025-03-11 03:11:58,085 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 [2025-03-11 03:11:58,086 INFO hook.py line 689 2389709] pipe : 0.0178 0.0314 [2025-03-11 03:11:58,086 INFO hook.py line 689 2389709] clothes dryer : 0.1817 0.1822 [2025-03-11 03:11:58,086 INFO hook.py line 689 2389709] guitar : 0.4147 0.7888 [2025-03-11 03:11:58,086 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 03:11:58,086 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 03:11:58,086 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 03:11:58,087 INFO hook.py line 689 2389709] column : 0.1119 0.1577 [2025-03-11 03:11:58,087 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 03:11:58,087 INFO hook.py line 689 2389709] ladder : 0.4255 0.4867 [2025-03-11 03:11:58,087 INFO hook.py line 689 2389709] bathroom stall : 0.2934 0.3175 [2025-03-11 03:11:58,087 INFO hook.py line 689 2389709] shower wall : 0.4124 0.4822 [2025-03-11 03:11:58,087 INFO hook.py line 689 2389709] cup : 0.1210 0.4401 [2025-03-11 03:11:58,087 INFO hook.py line 689 2389709] jacket : 0.1442 0.2258 [2025-03-11 03:11:58,087 INFO hook.py line 689 2389709] storage bin : 0.0108 0.0109 [2025-03-11 03:11:58,088 INFO hook.py line 689 2389709] coffee maker : 0.3911 0.9865 [2025-03-11 03:11:58,088 INFO hook.py line 689 2389709] dishwasher : 0.2200 0.2592 [2025-03-11 03:11:58,088 INFO hook.py line 689 2389709] paper towel roll: 0.2650 0.3884 [2025-03-11 03:11:58,088 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 03:11:58,088 INFO hook.py line 689 2389709] mat : 0.1373 0.1480 [2025-03-11 03:11:58,088 INFO hook.py line 689 2389709] windowsill : 0.1738 0.2135 [2025-03-11 03:11:58,088 INFO hook.py line 689 2389709] bar : 0.1319 0.2606 [2025-03-11 03:11:58,088 INFO hook.py line 689 2389709] toaster : 0.1268 0.2132 [2025-03-11 03:11:58,089 INFO hook.py line 689 2389709] bulletin board : 0.2500 0.5537 [2025-03-11 03:11:58,089 INFO hook.py line 689 2389709] ironing board : 0.1692 0.2078 [2025-03-11 03:11:58,089 INFO hook.py line 689 2389709] fireplace : 0.5758 0.5928 [2025-03-11 03:11:58,089 INFO hook.py line 689 2389709] soap dish : 0.3308 0.4165 [2025-03-11 03:11:58,089 INFO hook.py line 689 2389709] kitchen counter: 0.5136 0.6963 [2025-03-11 03:11:58,089 INFO hook.py line 689 2389709] doorframe : 0.3356 0.7178 [2025-03-11 03:11:58,089 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3772 0.5900 [2025-03-11 03:11:58,090 INFO hook.py line 689 2389709] mini fridge : 0.3683 0.5600 [2025-03-11 03:11:58,090 INFO hook.py line 689 2389709] fire extinguisher: 0.0397 0.1927 [2025-03-11 03:11:58,090 INFO hook.py line 689 2389709] ball : 0.6340 0.8902 [2025-03-11 03:11:58,090 INFO hook.py line 689 2389709] hat : 0.0006 0.0027 [2025-03-11 03:11:58,090 INFO hook.py line 689 2389709] shower curtain rod: 0.2361 0.8863 [2025-03-11 03:11:58,090 INFO hook.py line 689 2389709] water cooler : 0.5375 0.8807 [2025-03-11 03:11:58,090 INFO hook.py line 689 2389709] paper cutter : 0.3481 0.4295 [2025-03-11 03:11:58,091 INFO hook.py line 689 2389709] tray : 0.0824 0.1135 [2025-03-11 03:11:58,091 INFO hook.py line 689 2389709] shower door : 0.0445 0.0607 [2025-03-11 03:11:58,091 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 03:11:58,091 INFO hook.py line 689 2389709] ledge : 0.0362 0.0496 [2025-03-11 03:11:58,091 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 03:11:58,091 INFO hook.py line 689 2389709] mouse : 0.0116 0.7285 [2025-03-11 03:11:58,091 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6807 0.7936 [2025-03-11 03:11:58,091 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 03:11:58,092 INFO hook.py line 689 2389709] cart : 0.1133 0.1314 [2025-03-11 03:11:58,092 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 03:11:58,092 INFO hook.py line 689 2389709] scale : 0.3610 0.9378 [2025-03-11 03:11:58,092 INFO hook.py line 689 2389709] tissue box : 0.1206 0.1582 [2025-03-11 03:11:58,092 INFO hook.py line 689 2389709] light switch : 0.0539 0.3793 [2025-03-11 03:11:58,092 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 03:11:58,092 INFO hook.py line 689 2389709] power outlet : 0.0779 0.3119 [2025-03-11 03:11:58,092 INFO hook.py line 689 2389709] decoration : 0.1652 0.4455 [2025-03-11 03:11:58,093 INFO hook.py line 689 2389709] sign : 0.0005 0.0006 [2025-03-11 03:11:58,093 INFO hook.py line 689 2389709] projector : 0.1563 0.7194 [2025-03-11 03:11:58,093 INFO hook.py line 689 2389709] closet door : 0.0916 0.1176 [2025-03-11 03:11:58,093 INFO hook.py line 689 2389709] vacuum cleaner : 0.7442 0.9078 [2025-03-11 03:11:58,093 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 03:11:58,093 INFO hook.py line 689 2389709] plunger : 0.2663 0.9681 [2025-03-11 03:11:58,093 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 03:11:58,094 INFO hook.py line 689 2389709] headphones : 0.0171 0.0279 [2025-03-11 03:11:58,094 INFO hook.py line 689 2389709] dish rack : 0.2321 0.2418 [2025-03-11 03:11:58,094 INFO hook.py line 689 2389709] broom : 0.0264 0.1217 [2025-03-11 03:11:58,094 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 03:11:58,094 INFO hook.py line 689 2389709] range hood : 0.7268 0.8952 [2025-03-11 03:11:58,094 INFO hook.py line 689 2389709] dustpan : 0.0468 0.3295 [2025-03-11 03:11:58,094 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 03:11:58,094 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 03:11:58,095 INFO hook.py line 689 2389709] handicap bar : 0.0462 0.4261 [2025-03-11 03:11:58,095 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 03:11:58,095 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 03:11:58,095 INFO hook.py line 689 2389709] shower floor : 0.6788 0.8944 [2025-03-11 03:11:58,095 INFO hook.py line 689 2389709] water pitcher : 0.2315 0.5208 [2025-03-11 03:11:58,095 INFO hook.py line 689 2389709] mailbox : 0.3503 0.3533 [2025-03-11 03:11:58,095 INFO hook.py line 689 2389709] bowl : 0.0467 0.0591 [2025-03-11 03:11:58,096 INFO hook.py line 689 2389709] paper bag : 0.0359 0.0721 [2025-03-11 03:11:58,096 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 03:11:58,096 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 03:11:58,096 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 03:11:58,096 INFO hook.py line 689 2389709] divider : 0.4487 0.6004 [2025-03-11 03:11:58,096 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 03:11:58,096 INFO hook.py line 689 2389709] bathroom counter: 0.2234 0.2698 [2025-03-11 03:11:58,096 INFO hook.py line 689 2389709] object : 0.0337 0.0582 [2025-03-11 03:11:58,097 INFO hook.py line 689 2389709] bathroom vanity: 0.4396 0.8150 [2025-03-11 03:11:58,097 INFO hook.py line 689 2389709] closet wall : 0.0419 0.1760 [2025-03-11 03:11:58,097 INFO hook.py line 689 2389709] laundry hamper : 0.0156 0.0249 [2025-03-11 03:11:58,097 INFO hook.py line 689 2389709] bathroom stall door: 0.4635 0.6297 [2025-03-11 03:11:58,097 INFO hook.py line 689 2389709] ceiling light : 0.2827 0.3681 [2025-03-11 03:11:58,097 INFO hook.py line 689 2389709] trash bin : 0.2633 0.3505 [2025-03-11 03:11:58,097 INFO hook.py line 689 2389709] dumbbell : 0.5538 0.9905 [2025-03-11 03:11:58,097 INFO hook.py line 689 2389709] stair rail : 0.0953 0.1183 [2025-03-11 03:11:58,098 INFO hook.py line 689 2389709] tube : 0.0499 0.1037 [2025-03-11 03:11:58,098 INFO hook.py line 689 2389709] bathroom cabinet: 0.2042 0.3320 [2025-03-11 03:11:58,098 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 03:11:58,098 INFO hook.py line 689 2389709] closet rod : 0.5247 0.7834 [2025-03-11 03:11:58,098 INFO hook.py line 689 2389709] coffee kettle : 0.0159 0.0240 [2025-03-11 03:11:58,098 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 03:11:58,098 INFO hook.py line 689 2389709] shower head : 0.1330 0.2546 [2025-03-11 03:11:58,099 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 03:11:58,099 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 03:11:58,099 INFO hook.py line 689 2389709] coat rack : 0.1276 0.5478 [2025-03-11 03:11:58,099 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 03:11:58,099 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 03:11:58,099 INFO hook.py line 689 2389709] fire alarm : 0.0088 0.0698 [2025-03-11 03:11:58,099 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 03:11:58,099 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 03:11:58,100 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 03:11:58,100 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 03:11:58,100 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 03:11:58,100 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 [2025-03-11 03:11:58,100 INFO hook.py line 690 2389709] ######################################## [2025-03-11 03:11:58,100 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2662/0.3877/0.7984. [2025-03-11 03:11:58,101 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 03:11:58,118 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2832 [2025-03-11 03:11:58,118 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 03:12:28,321 INFO hook.py line 566 2389709] Train: [37/100][50/300] Data 0.003 (0.002) Batch 0.490 (0.492) Remain 02:37:07 loss: 0.8322 Lr: 3.78622e-03 [2025-03-11 03:12:52,781 INFO hook.py line 566 2389709] Train: [37/100][100/300] Data 0.002 (0.002) Batch 0.487 (0.491) Remain 02:36:12 loss: 1.0854 Lr: 3.77439e-03 [2025-03-11 03:13:17,253 INFO hook.py line 566 2389709] Train: [37/100][150/300] Data 0.002 (0.002) Batch 0.543 (0.490) Remain 02:35:39 loss: 0.6885 Lr: 3.76251e-03 [2025-03-11 03:13:42,001 INFO hook.py line 566 2389709] Train: [37/100][200/300] Data 0.002 (0.002) Batch 0.551 (0.491) Remain 02:35:37 loss: 0.8052 Lr: 3.75060e-03 [2025-03-11 03:14:06,464 INFO hook.py line 566 2389709] Train: [37/100][250/300] Data 0.002 (0.002) Batch 0.441 (0.491) Remain 02:35:04 loss: 0.6419 Lr: 3.73865e-03 [2025-03-11 03:14:30,850 INFO hook.py line 566 2389709] Train: [37/100][300/300] Data 0.002 (0.002) Batch 0.513 (0.490) Remain 02:34:29 loss: 0.9308 Lr: 3.72667e-03 [2025-03-11 03:14:30,850 INFO misc.py line 135 2389709] Train result: loss: 0.8085 [2025-03-11 03:14:30,974 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 03:15:17,771 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6297 [2025-03-11 03:15:17,827 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.0579 [2025-03-11 03:15:17,867 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6801 [2025-03-11 03:15:17,919 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5453 [2025-03-11 03:15:17,960 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9170 [2025-03-11 03:15:18,021 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.7588 [2025-03-11 03:15:18,074 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.0550 [2025-03-11 03:15:18,105 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.5405 [2025-03-11 03:15:18,151 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1846 [2025-03-11 03:15:18,195 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.3665 [2025-03-11 03:15:18,245 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1390 [2025-03-11 03:15:18,283 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.9991 [2025-03-11 03:15:18,334 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.7081 [2025-03-11 03:15:18,380 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.1365 [2025-03-11 03:15:18,419 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.8808 [2025-03-11 03:15:18,466 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1613 [2025-03-11 03:15:18,506 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1253 [2025-03-11 03:15:18,544 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8663 [2025-03-11 03:15:18,595 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.6283 [2025-03-11 03:15:18,631 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4921 [2025-03-11 03:15:18,667 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7468 [2025-03-11 03:15:18,709 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7725 [2025-03-11 03:15:18,748 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.2827 [2025-03-11 03:15:18,798 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1037 [2025-03-11 03:15:18,844 INFO hook.py line 748 2389709] Test: [25/78] Loss 2.1859 [2025-03-11 03:15:18,899 INFO hook.py line 748 2389709] Test: [26/78] Loss 1.9827 [2025-03-11 03:15:18,956 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9525 [2025-03-11 03:15:18,997 INFO hook.py line 748 2389709] Test: [28/78] Loss 1.0165 [2025-03-11 03:15:19,032 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0092 [2025-03-11 03:15:19,093 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5820 [2025-03-11 03:15:19,151 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5751 [2025-03-11 03:15:19,190 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1838 [2025-03-11 03:15:19,252 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7243 [2025-03-11 03:15:19,294 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.5921 [2025-03-11 03:15:19,344 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2737 [2025-03-11 03:15:19,391 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5025 [2025-03-11 03:15:19,432 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.6267 [2025-03-11 03:15:19,470 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9123 [2025-03-11 03:15:19,542 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.7582 [2025-03-11 03:15:19,593 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.1722 [2025-03-11 03:15:19,642 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.7776 [2025-03-11 03:15:19,680 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5739 [2025-03-11 03:15:19,723 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1574 [2025-03-11 03:15:19,783 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8981 [2025-03-11 03:15:19,818 INFO hook.py line 748 2389709] Test: [45/78] Loss 0.9192 [2025-03-11 03:15:19,869 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1879 [2025-03-11 03:15:19,914 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8314 [2025-03-11 03:15:19,947 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9848 [2025-03-11 03:15:19,979 INFO hook.py line 748 2389709] Test: [49/78] Loss 0.9800 [2025-03-11 03:15:20,012 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5297 [2025-03-11 03:15:20,046 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.1790 [2025-03-11 03:15:20,083 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5801 [2025-03-11 03:15:20,115 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3473 [2025-03-11 03:15:20,154 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.4193 [2025-03-11 03:15:20,193 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4518 [2025-03-11 03:15:20,237 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8975 [2025-03-11 03:15:20,273 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.9936 [2025-03-11 03:15:20,301 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1563 [2025-03-11 03:15:20,342 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9565 [2025-03-11 03:15:20,383 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.3090 [2025-03-11 03:15:20,412 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8712 [2025-03-11 03:15:20,452 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0792 [2025-03-11 03:15:20,489 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.5750 [2025-03-11 03:15:20,549 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.4663 [2025-03-11 03:15:20,581 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2014 [2025-03-11 03:15:20,631 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.9594 [2025-03-11 03:15:20,672 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0470 [2025-03-11 03:15:20,712 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.7194 [2025-03-11 03:15:20,745 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4219 [2025-03-11 03:15:20,807 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.4038 [2025-03-11 03:15:20,854 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5346 [2025-03-11 03:15:20,912 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7265 [2025-03-11 03:15:20,969 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6220 [2025-03-11 03:15:21,015 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.0011 [2025-03-11 03:15:21,069 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.2358 [2025-03-11 03:15:21,103 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7488 [2025-03-11 03:15:21,165 INFO hook.py line 748 2389709] Test: [77/78] Loss 1.0666 [2025-03-11 03:15:21,191 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8590 [2025-03-11 03:15:22,431 INFO hook.py line 674 2389709] ######################################## [2025-03-11 03:15:22,432 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 03:15:22,432 INFO hook.py line 680 2389709] ######################################## [2025-03-11 03:15:22,432 INFO hook.py line 689 2389709] wall : 0.7868 0.8941 [2025-03-11 03:15:22,433 INFO hook.py line 689 2389709] chair : 0.6727 0.7878 [2025-03-11 03:15:22,433 INFO hook.py line 689 2389709] floor : 0.9526 0.9778 [2025-03-11 03:15:22,433 INFO hook.py line 689 2389709] table : 0.6156 0.7907 [2025-03-11 03:15:22,433 INFO hook.py line 689 2389709] door : 0.6322 0.7858 [2025-03-11 03:15:22,433 INFO hook.py line 689 2389709] couch : 0.7897 0.8583 [2025-03-11 03:15:22,433 INFO hook.py line 689 2389709] cabinet : 0.3121 0.5147 [2025-03-11 03:15:22,433 INFO hook.py line 689 2389709] shelf : 0.3284 0.4669 [2025-03-11 03:15:22,433 INFO hook.py line 689 2389709] desk : 0.5152 0.7398 [2025-03-11 03:15:22,433 INFO hook.py line 689 2389709] office chair : 0.2358 0.4917 [2025-03-11 03:15:22,433 INFO hook.py line 689 2389709] bed : 0.7441 0.8422 [2025-03-11 03:15:22,434 INFO hook.py line 689 2389709] pillow : 0.5117 0.7680 [2025-03-11 03:15:22,434 INFO hook.py line 689 2389709] sink : 0.6154 0.6865 [2025-03-11 03:15:22,434 INFO hook.py line 689 2389709] picture : 0.3681 0.5028 [2025-03-11 03:15:22,434 INFO hook.py line 689 2389709] window : 0.5645 0.7607 [2025-03-11 03:15:22,434 INFO hook.py line 689 2389709] toilet : 0.9154 0.9577 [2025-03-11 03:15:22,434 INFO hook.py line 689 2389709] bookshelf : 0.4949 0.7863 [2025-03-11 03:15:22,434 INFO hook.py line 689 2389709] monitor : 0.7208 0.7524 [2025-03-11 03:15:22,434 INFO hook.py line 689 2389709] curtain : 0.6396 0.7961 [2025-03-11 03:15:22,434 INFO hook.py line 689 2389709] book : 0.3843 0.5306 [2025-03-11 03:15:22,434 INFO hook.py line 689 2389709] armchair : 0.5032 0.6821 [2025-03-11 03:15:22,434 INFO hook.py line 689 2389709] coffee table : 0.6587 0.8445 [2025-03-11 03:15:22,435 INFO hook.py line 689 2389709] box : 0.2476 0.4006 [2025-03-11 03:15:22,435 INFO hook.py line 689 2389709] refrigerator : 0.5655 0.5968 [2025-03-11 03:15:22,435 INFO hook.py line 689 2389709] lamp : 0.6163 0.6708 [2025-03-11 03:15:22,435 INFO hook.py line 689 2389709] kitchen cabinet: 0.5641 0.6555 [2025-03-11 03:15:22,435 INFO hook.py line 689 2389709] towel : 0.4516 0.5279 [2025-03-11 03:15:22,435 INFO hook.py line 689 2389709] clothes : 0.2580 0.3427 [2025-03-11 03:15:22,435 INFO hook.py line 689 2389709] tv : 0.8117 0.8768 [2025-03-11 03:15:22,435 INFO hook.py line 689 2389709] nightstand : 0.5858 0.8723 [2025-03-11 03:15:22,436 INFO hook.py line 689 2389709] counter : 0.2539 0.5466 [2025-03-11 03:15:22,436 INFO hook.py line 689 2389709] dresser : 0.3665 0.6323 [2025-03-11 03:15:22,436 INFO hook.py line 689 2389709] stool : 0.3075 0.8434 [2025-03-11 03:15:22,436 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 03:15:22,436 INFO hook.py line 689 2389709] plant : 0.5893 0.6603 [2025-03-11 03:15:22,436 INFO hook.py line 689 2389709] ceiling : 0.9165 0.9504 [2025-03-11 03:15:22,436 INFO hook.py line 689 2389709] bathtub : 0.8356 0.8976 [2025-03-11 03:15:22,437 INFO hook.py line 689 2389709] end table : 0.1777 0.3021 [2025-03-11 03:15:22,437 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 [2025-03-11 03:15:22,437 INFO hook.py line 689 2389709] keyboard : 0.3951 0.5088 [2025-03-11 03:15:22,437 INFO hook.py line 689 2389709] bag : 0.1600 0.2091 [2025-03-11 03:15:22,437 INFO hook.py line 689 2389709] backpack : 0.5436 0.5845 [2025-03-11 03:15:22,437 INFO hook.py line 689 2389709] toilet paper : 0.4378 0.5751 [2025-03-11 03:15:22,437 INFO hook.py line 689 2389709] printer : 0.2888 0.3137 [2025-03-11 03:15:22,439 INFO hook.py line 689 2389709] tv stand : 0.4779 0.9837 [2025-03-11 03:15:22,439 INFO hook.py line 689 2389709] whiteboard : 0.5133 0.7249 [2025-03-11 03:15:22,439 INFO hook.py line 689 2389709] blanket : 0.0049 0.0055 [2025-03-11 03:15:22,439 INFO hook.py line 689 2389709] shower curtain : 0.6118 0.6895 [2025-03-11 03:15:22,439 INFO hook.py line 689 2389709] trash can : 0.5804 0.8197 [2025-03-11 03:15:22,440 INFO hook.py line 689 2389709] closet : 0.0850 0.1302 [2025-03-11 03:15:22,440 INFO hook.py line 689 2389709] stairs : 0.3577 0.7994 [2025-03-11 03:15:22,440 INFO hook.py line 689 2389709] microwave : 0.5083 0.7335 [2025-03-11 03:15:22,440 INFO hook.py line 689 2389709] stove : 0.6159 0.7518 [2025-03-11 03:15:22,440 INFO hook.py line 689 2389709] shoe : 0.4600 0.6112 [2025-03-11 03:15:22,440 INFO hook.py line 689 2389709] computer tower : 0.4838 0.7903 [2025-03-11 03:15:22,440 INFO hook.py line 689 2389709] bottle : 0.1238 0.2721 [2025-03-11 03:15:22,440 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 03:15:22,440 INFO hook.py line 689 2389709] ottoman : 0.3852 0.5691 [2025-03-11 03:15:22,440 INFO hook.py line 689 2389709] bench : 0.2768 0.3322 [2025-03-11 03:15:22,440 INFO hook.py line 689 2389709] board : 0.0563 0.0799 [2025-03-11 03:15:22,441 INFO hook.py line 689 2389709] washing machine: 0.7678 0.8709 [2025-03-11 03:15:22,441 INFO hook.py line 689 2389709] mirror : 0.3528 0.4162 [2025-03-11 03:15:22,441 INFO hook.py line 689 2389709] copier : 0.8567 0.8834 [2025-03-11 03:15:22,441 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 03:15:22,441 INFO hook.py line 689 2389709] sofa chair : 0.2603 0.4581 [2025-03-11 03:15:22,441 INFO hook.py line 689 2389709] file cabinet : 0.3992 0.4469 [2025-03-11 03:15:22,441 INFO hook.py line 689 2389709] fan : 0.3243 0.4020 [2025-03-11 03:15:22,441 INFO hook.py line 689 2389709] laptop : 0.4608 0.5118 [2025-03-11 03:15:22,441 INFO hook.py line 689 2389709] shower : 0.2531 0.2787 [2025-03-11 03:15:22,441 INFO hook.py line 689 2389709] paper : 0.0399 0.0657 [2025-03-11 03:15:22,441 INFO hook.py line 689 2389709] person : 0.2848 0.3709 [2025-03-11 03:15:22,442 INFO hook.py line 689 2389709] paper towel dispenser: 0.4552 0.6106 [2025-03-11 03:15:22,442 INFO hook.py line 689 2389709] oven : 0.0007 0.0008 [2025-03-11 03:15:22,442 INFO hook.py line 689 2389709] blinds : 0.0020 0.0023 [2025-03-11 03:15:22,442 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 03:15:22,442 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 03:15:22,442 INFO hook.py line 689 2389709] blackboard : 0.5715 0.6779 [2025-03-11 03:15:22,442 INFO hook.py line 689 2389709] piano : 0.2697 0.2842 [2025-03-11 03:15:22,442 INFO hook.py line 689 2389709] suitcase : 0.4815 0.5351 [2025-03-11 03:15:22,442 INFO hook.py line 689 2389709] rail : 0.0151 0.0156 [2025-03-11 03:15:22,442 INFO hook.py line 689 2389709] radiator : 0.5672 0.6368 [2025-03-11 03:15:22,442 INFO hook.py line 689 2389709] recycling bin : 0.4404 0.5227 [2025-03-11 03:15:22,443 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 03:15:22,443 INFO hook.py line 689 2389709] wardrobe : 0.1304 0.1654 [2025-03-11 03:15:22,443 INFO hook.py line 689 2389709] soap dispenser : 0.8065 0.8886 [2025-03-11 03:15:22,443 INFO hook.py line 689 2389709] telephone : 0.3336 0.4299 [2025-03-11 03:15:22,443 INFO hook.py line 689 2389709] bucket : 0.3759 0.7371 [2025-03-11 03:15:22,443 INFO hook.py line 689 2389709] clock : 0.2662 0.2979 [2025-03-11 03:15:22,443 INFO hook.py line 689 2389709] stand : 0.0507 0.3423 [2025-03-11 03:15:22,443 INFO hook.py line 689 2389709] light : 0.0000 0.0000 [2025-03-11 03:15:22,443 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 [2025-03-11 03:15:22,443 INFO hook.py line 689 2389709] pipe : 0.0092 0.0103 [2025-03-11 03:15:22,444 INFO hook.py line 689 2389709] clothes dryer : 0.2198 0.2226 [2025-03-11 03:15:22,444 INFO hook.py line 689 2389709] guitar : 0.3904 0.4904 [2025-03-11 03:15:22,444 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 03:15:22,444 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 03:15:22,444 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 03:15:22,444 INFO hook.py line 689 2389709] column : 0.0001 0.0001 [2025-03-11 03:15:22,444 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 03:15:22,444 INFO hook.py line 689 2389709] ladder : 0.4844 0.5535 [2025-03-11 03:15:22,444 INFO hook.py line 689 2389709] bathroom stall : 0.4756 0.5480 [2025-03-11 03:15:22,444 INFO hook.py line 689 2389709] shower wall : 0.4073 0.6903 [2025-03-11 03:15:22,444 INFO hook.py line 689 2389709] cup : 0.1710 0.5405 [2025-03-11 03:15:22,445 INFO hook.py line 689 2389709] jacket : 0.2514 0.3112 [2025-03-11 03:15:22,445 INFO hook.py line 689 2389709] storage bin : 0.1696 0.3176 [2025-03-11 03:15:22,445 INFO hook.py line 689 2389709] coffee maker : 0.8635 0.9631 [2025-03-11 03:15:22,445 INFO hook.py line 689 2389709] dishwasher : 0.0732 0.1039 [2025-03-11 03:15:22,445 INFO hook.py line 689 2389709] paper towel roll: 0.1915 0.2918 [2025-03-11 03:15:22,445 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 03:15:22,445 INFO hook.py line 689 2389709] mat : 0.2867 0.4280 [2025-03-11 03:15:22,445 INFO hook.py line 689 2389709] windowsill : 0.1659 0.1965 [2025-03-11 03:15:22,445 INFO hook.py line 689 2389709] bar : 0.0758 0.1551 [2025-03-11 03:15:22,445 INFO hook.py line 689 2389709] toaster : 0.1656 0.6843 [2025-03-11 03:15:22,445 INFO hook.py line 689 2389709] bulletin board : 0.2157 0.5451 [2025-03-11 03:15:22,446 INFO hook.py line 689 2389709] ironing board : 0.0468 0.0486 [2025-03-11 03:15:22,446 INFO hook.py line 689 2389709] fireplace : 0.5902 0.6125 [2025-03-11 03:15:22,446 INFO hook.py line 689 2389709] soap dish : 0.3239 0.5057 [2025-03-11 03:15:22,446 INFO hook.py line 689 2389709] kitchen counter: 0.4364 0.5441 [2025-03-11 03:15:22,446 INFO hook.py line 689 2389709] doorframe : 0.3675 0.5456 [2025-03-11 03:15:22,446 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3311 0.3873 [2025-03-11 03:15:22,446 INFO hook.py line 689 2389709] mini fridge : 0.4039 0.5041 [2025-03-11 03:15:22,446 INFO hook.py line 689 2389709] fire extinguisher: 0.0533 0.1036 [2025-03-11 03:15:22,446 INFO hook.py line 689 2389709] ball : 0.5605 0.5732 [2025-03-11 03:15:22,446 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 03:15:22,446 INFO hook.py line 689 2389709] shower curtain rod: 0.1829 0.9022 [2025-03-11 03:15:22,447 INFO hook.py line 689 2389709] water cooler : 0.8088 0.9578 [2025-03-11 03:15:22,447 INFO hook.py line 689 2389709] paper cutter : 0.2008 0.2133 [2025-03-11 03:15:22,447 INFO hook.py line 689 2389709] tray : 0.0126 0.0728 [2025-03-11 03:15:22,447 INFO hook.py line 689 2389709] shower door : 0.1421 0.1883 [2025-03-11 03:15:22,447 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 03:15:22,447 INFO hook.py line 689 2389709] ledge : 0.0852 0.1103 [2025-03-11 03:15:22,447 INFO hook.py line 689 2389709] toaster oven : 0.1369 0.1666 [2025-03-11 03:15:22,447 INFO hook.py line 689 2389709] mouse : 0.0281 0.4018 [2025-03-11 03:15:22,447 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5415 0.8156 [2025-03-11 03:15:22,447 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 03:15:22,447 INFO hook.py line 689 2389709] cart : 0.1713 0.1758 [2025-03-11 03:15:22,447 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 03:15:22,448 INFO hook.py line 689 2389709] scale : 0.0600 0.9627 [2025-03-11 03:15:22,448 INFO hook.py line 689 2389709] tissue box : 0.1802 0.3890 [2025-03-11 03:15:22,448 INFO hook.py line 689 2389709] light switch : 0.0290 0.3140 [2025-03-11 03:15:22,448 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 03:15:22,448 INFO hook.py line 689 2389709] power outlet : 0.0150 0.0240 [2025-03-11 03:15:22,448 INFO hook.py line 689 2389709] decoration : 0.0629 0.0734 [2025-03-11 03:15:22,448 INFO hook.py line 689 2389709] sign : 0.0778 0.0901 [2025-03-11 03:15:22,448 INFO hook.py line 689 2389709] projector : 0.3351 0.6548 [2025-03-11 03:15:22,448 INFO hook.py line 689 2389709] closet door : 0.1901 0.2095 [2025-03-11 03:15:22,448 INFO hook.py line 689 2389709] vacuum cleaner : 0.6795 0.7153 [2025-03-11 03:15:22,448 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 03:15:22,449 INFO hook.py line 689 2389709] plunger : 0.2076 0.9679 [2025-03-11 03:15:22,449 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 03:15:22,449 INFO hook.py line 689 2389709] headphones : 0.0210 0.0439 [2025-03-11 03:15:22,449 INFO hook.py line 689 2389709] dish rack : 0.6525 0.8659 [2025-03-11 03:15:22,449 INFO hook.py line 689 2389709] broom : 0.0009 0.0011 [2025-03-11 03:15:22,449 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 03:15:22,449 INFO hook.py line 689 2389709] range hood : 0.6440 0.7214 [2025-03-11 03:15:22,449 INFO hook.py line 689 2389709] dustpan : 0.0820 0.1423 [2025-03-11 03:15:22,449 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 03:15:22,449 INFO hook.py line 689 2389709] water bottle : 0.0100 0.1133 [2025-03-11 03:15:22,449 INFO hook.py line 689 2389709] handicap bar : 0.0468 0.9588 [2025-03-11 03:15:22,449 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 03:15:22,450 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 03:15:22,450 INFO hook.py line 689 2389709] shower floor : 0.8085 0.9545 [2025-03-11 03:15:22,450 INFO hook.py line 689 2389709] water pitcher : 0.1011 0.4006 [2025-03-11 03:15:22,450 INFO hook.py line 689 2389709] mailbox : 0.3709 0.4060 [2025-03-11 03:15:22,450 INFO hook.py line 689 2389709] bowl : 0.0300 0.0587 [2025-03-11 03:15:22,450 INFO hook.py line 689 2389709] paper bag : 0.0283 0.0431 [2025-03-11 03:15:22,450 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 03:15:22,450 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 03:15:22,450 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 03:15:22,450 INFO hook.py line 689 2389709] divider : 0.2983 0.3192 [2025-03-11 03:15:22,450 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 03:15:22,451 INFO hook.py line 689 2389709] bathroom counter: 0.3071 0.3328 [2025-03-11 03:15:22,451 INFO hook.py line 689 2389709] object : 0.0475 0.0936 [2025-03-11 03:15:22,451 INFO hook.py line 689 2389709] bathroom vanity: 0.4574 0.7787 [2025-03-11 03:15:22,451 INFO hook.py line 689 2389709] closet wall : 0.0754 0.1011 [2025-03-11 03:15:22,451 INFO hook.py line 689 2389709] laundry hamper : 0.0864 0.1576 [2025-03-11 03:15:22,451 INFO hook.py line 689 2389709] bathroom stall door: 0.4848 0.6988 [2025-03-11 03:15:22,451 INFO hook.py line 689 2389709] ceiling light : 0.2860 0.4364 [2025-03-11 03:15:22,451 INFO hook.py line 689 2389709] trash bin : 0.3108 0.6681 [2025-03-11 03:15:22,451 INFO hook.py line 689 2389709] dumbbell : 0.3119 0.9719 [2025-03-11 03:15:22,451 INFO hook.py line 689 2389709] stair rail : 0.1724 0.2140 [2025-03-11 03:15:22,451 INFO hook.py line 689 2389709] tube : 0.0655 0.0758 [2025-03-11 03:15:22,452 INFO hook.py line 689 2389709] bathroom cabinet: 0.2365 0.7030 [2025-03-11 03:15:22,452 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 03:15:22,452 INFO hook.py line 689 2389709] closet rod : 0.1572 0.3734 [2025-03-11 03:15:22,452 INFO hook.py line 689 2389709] coffee kettle : 0.2026 0.2233 [2025-03-11 03:15:22,452 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 03:15:22,452 INFO hook.py line 689 2389709] shower head : 0.2102 0.3458 [2025-03-11 03:15:22,452 INFO hook.py line 689 2389709] keyboard piano : 0.0434 0.0436 [2025-03-11 03:15:22,452 INFO hook.py line 689 2389709] case of water bottles: 0.1044 0.1331 [2025-03-11 03:15:22,452 INFO hook.py line 689 2389709] coat rack : 0.1064 0.1667 [2025-03-11 03:15:22,452 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 03:15:22,452 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 03:15:22,452 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 03:15:22,453 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 03:15:22,453 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 03:15:22,453 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 03:15:22,453 INFO hook.py line 689 2389709] potted plant : 0.0208 0.1615 [2025-03-11 03:15:22,453 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 03:15:22,453 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 [2025-03-11 03:15:22,453 INFO hook.py line 690 2389709] ######################################## [2025-03-11 03:15:22,453 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2765/0.3916/0.7999. [2025-03-11 03:15:22,454 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 03:15:22,472 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2832 [2025-03-11 03:15:22,472 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 03:15:52,839 INFO hook.py line 566 2389709] Train: [38/100][50/300] Data 0.002 (0.002) Batch 0.458 (0.489) Remain 02:33:34 loss: 0.8896 Lr: 3.71464e-03 [2025-03-11 03:16:17,205 INFO hook.py line 566 2389709] Train: [38/100][100/300] Data 0.003 (0.002) Batch 0.429 (0.488) Remain 02:32:55 loss: 0.8059 Lr: 3.70258e-03 [2025-03-11 03:16:41,629 INFO hook.py line 566 2389709] Train: [38/100][150/300] Data 0.002 (0.002) Batch 0.498 (0.488) Remain 02:32:33 loss: 0.5870 Lr: 3.69048e-03 [2025-03-11 03:17:06,493 INFO hook.py line 566 2389709] Train: [38/100][200/300] Data 0.002 (0.002) Batch 0.464 (0.491) Remain 02:32:52 loss: 0.8938 Lr: 3.67835e-03 [2025-03-11 03:17:31,203 INFO hook.py line 566 2389709] Train: [38/100][250/300] Data 0.002 (0.002) Batch 0.493 (0.491) Remain 02:32:41 loss: 0.8134 Lr: 3.66618e-03 [2025-03-11 03:17:55,287 INFO hook.py line 566 2389709] Train: [38/100][300/300] Data 0.001 (0.002) Batch 0.486 (0.490) Remain 02:31:47 loss: 0.9636 Lr: 3.65398e-03 [2025-03-11 03:17:55,288 INFO misc.py line 135 2389709] Train result: loss: 0.7981 [2025-03-11 03:17:55,381 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 03:18:50,423 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3825 [2025-03-11 03:18:50,468 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.6488 [2025-03-11 03:18:50,501 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.8068 [2025-03-11 03:18:50,554 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5854 [2025-03-11 03:18:50,586 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8136 [2025-03-11 03:18:50,647 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2122 [2025-03-11 03:18:50,702 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9292 [2025-03-11 03:18:50,735 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3226 [2025-03-11 03:18:50,782 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3661 [2025-03-11 03:18:50,820 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2865 [2025-03-11 03:18:50,867 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1350 [2025-03-11 03:18:50,905 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1006 [2025-03-11 03:18:50,959 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.0480 [2025-03-11 03:18:51,004 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.4372 [2025-03-11 03:18:51,043 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.9691 [2025-03-11 03:18:51,101 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1166 [2025-03-11 03:18:51,139 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2049 [2025-03-11 03:18:51,179 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9874 [2025-03-11 03:18:51,221 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5407 [2025-03-11 03:18:51,257 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5039 [2025-03-11 03:18:51,293 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6811 [2025-03-11 03:18:51,333 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9527 [2025-03-11 03:18:51,366 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4550 [2025-03-11 03:18:51,427 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.4720 [2025-03-11 03:18:51,472 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.3267 [2025-03-11 03:18:51,532 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.6841 [2025-03-11 03:18:51,585 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.5678 [2025-03-11 03:18:51,625 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5152 [2025-03-11 03:18:51,663 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1193 [2025-03-11 03:18:51,719 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.3676 [2025-03-11 03:18:51,778 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5375 [2025-03-11 03:18:51,816 INFO hook.py line 748 2389709] Test: [32/78] Loss 0.9780 [2025-03-11 03:18:51,873 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.0515 [2025-03-11 03:18:51,918 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.7862 [2025-03-11 03:18:51,973 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2244 [2025-03-11 03:18:52,023 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3364 [2025-03-11 03:18:52,067 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.3550 [2025-03-11 03:18:52,097 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8892 [2025-03-11 03:18:52,164 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.8626 [2025-03-11 03:18:52,215 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6168 [2025-03-11 03:18:52,277 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1907 [2025-03-11 03:18:52,318 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5356 [2025-03-11 03:18:52,359 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.9923 [2025-03-11 03:18:52,417 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9955 [2025-03-11 03:18:52,455 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.6776 [2025-03-11 03:18:52,507 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1589 [2025-03-11 03:18:52,545 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7388 [2025-03-11 03:18:52,579 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9338 [2025-03-11 03:18:52,614 INFO hook.py line 748 2389709] Test: [49/78] Loss 0.9645 [2025-03-11 03:18:52,652 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.7343 [2025-03-11 03:18:52,682 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.7459 [2025-03-11 03:18:52,716 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.4134 [2025-03-11 03:18:52,745 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2381 [2025-03-11 03:18:52,785 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.1398 [2025-03-11 03:18:52,828 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4021 [2025-03-11 03:18:52,868 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8688 [2025-03-11 03:18:52,907 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.3173 [2025-03-11 03:18:52,937 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.0521 [2025-03-11 03:18:52,975 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7846 [2025-03-11 03:18:53,011 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7957 [2025-03-11 03:18:53,036 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.6658 [2025-03-11 03:18:53,071 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9804 [2025-03-11 03:18:53,108 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1528 [2025-03-11 03:18:53,166 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8328 [2025-03-11 03:18:53,193 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.0809 [2025-03-11 03:18:53,241 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.4707 [2025-03-11 03:18:53,280 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.7049 [2025-03-11 03:18:53,319 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1313 [2025-03-11 03:18:53,355 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3589 [2025-03-11 03:18:53,420 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.5147 [2025-03-11 03:18:53,464 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5501 [2025-03-11 03:18:53,519 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6475 [2025-03-11 03:18:53,572 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5228 [2025-03-11 03:18:53,620 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.3414 [2025-03-11 03:18:53,675 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6908 [2025-03-11 03:18:53,708 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.5873 [2025-03-11 03:18:53,769 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6149 [2025-03-11 03:18:53,796 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8918 [2025-03-11 03:18:55,131 INFO hook.py line 674 2389709] ######################################## [2025-03-11 03:18:55,131 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 03:18:55,131 INFO hook.py line 680 2389709] ######################################## [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] wall : 0.7835 0.9243 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] chair : 0.7313 0.9175 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] floor : 0.9531 0.9802 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] table : 0.6337 0.7818 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] door : 0.5946 0.8024 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] couch : 0.7930 0.8496 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] cabinet : 0.2627 0.3316 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] shelf : 0.4563 0.6232 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] desk : 0.5547 0.7683 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] office chair : 0.0140 0.0141 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] bed : 0.7655 0.8568 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] pillow : 0.4936 0.8217 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] sink : 0.6136 0.7023 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] picture : 0.2963 0.3224 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] window : 0.5547 0.7030 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] toilet : 0.9133 0.9663 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] bookshelf : 0.5363 0.7798 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] monitor : 0.8146 0.8644 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] curtain : 0.7284 0.8296 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] book : 0.3889 0.5244 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] armchair : 0.5232 0.9016 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] coffee table : 0.7066 0.8451 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] box : 0.3050 0.3880 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] refrigerator : 0.6088 0.6633 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] lamp : 0.6061 0.7158 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] kitchen cabinet: 0.6493 0.7901 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] towel : 0.4258 0.5822 [2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] clothes : 0.1571 0.4831 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] tv : 0.7353 0.7465 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] nightstand : 0.6677 0.7937 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] counter : 0.3232 0.4869 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] dresser : 0.3752 0.4170 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] stool : 0.4441 0.6251 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] plant : 0.6802 0.8599 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] ceiling : 0.9188 0.9669 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] bathtub : 0.8603 0.8890 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] end table : 0.1033 0.1208 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] dining table : 0.0536 0.0662 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] keyboard : 0.3582 0.4318 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] bag : 0.1974 0.3874 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] backpack : 0.5304 0.5704 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] toilet paper : 0.4508 0.5411 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] printer : 0.3898 0.6247 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] tv stand : 0.5369 0.6296 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] whiteboard : 0.4580 0.6469 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] blanket : 0.0007 0.0007 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] shower curtain : 0.6464 0.7486 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] trash can : 0.6050 0.7107 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] closet : 0.0941 0.1163 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] stairs : 0.5846 0.5975 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] microwave : 0.5013 0.6849 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] stove : 0.6154 0.7344 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] shoe : 0.4099 0.5718 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] computer tower : 0.5299 0.7532 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] bottle : 0.1407 0.4632 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] ottoman : 0.2036 0.2502 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] bench : 0.0904 0.1046 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] board : 0.1677 0.2717 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] washing machine: 0.8079 0.8551 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] mirror : 0.3696 0.4235 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] copier : 0.6988 0.9346 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] sofa chair : 0.1225 0.1347 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] file cabinet : 0.4253 0.6247 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] fan : 0.3237 0.5079 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] laptop : 0.4491 0.7584 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] shower : 0.1042 0.1045 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] paper : 0.0370 0.0424 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] person : 0.2695 0.4941 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] paper towel dispenser: 0.6126 0.6648 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] oven : 0.1162 0.1206 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] blinds : 0.0383 0.0441 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] blackboard : 0.5237 0.6497 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] piano : 0.3485 0.4481 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] suitcase : 0.5173 0.5328 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] rail : 0.0024 0.0024 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] radiator : 0.6044 0.6409 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] recycling bin : 0.4178 0.6144 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] container : 0.0010 0.0017 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] wardrobe : 0.1855 0.2567 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] soap dispenser : 0.7541 0.8155 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] telephone : 0.2115 0.5288 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] bucket : 0.3054 0.3640 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] clock : 0.2578 0.3066 [2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] light : 0.0853 0.1306 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] laundry basket : 0.0001 0.0001 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] pipe : 0.0121 0.0149 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] clothes dryer : 0.4664 0.5126 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] guitar : 0.1906 0.2312 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] seat : 0.0001 0.0001 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] column : 0.0807 0.1315 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] ladder : 0.5639 0.6178 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] bathroom stall : 0.5058 0.6104 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] shower wall : 0.5013 0.6227 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] cup : 0.1694 0.4228 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] jacket : 0.0966 0.1102 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] storage bin : 0.0266 0.0286 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] coffee maker : 0.6790 0.9865 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] dishwasher : 0.1753 0.6225 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] paper towel roll: 0.2721 0.3167 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] mat : 0.0122 0.0125 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] windowsill : 0.1358 0.1424 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] bar : 0.1157 0.2379 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] toaster : 0.2853 0.3932 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] bulletin board : 0.2346 0.2978 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] ironing board : 0.1545 0.1871 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] fireplace : 0.5422 0.5571 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] soap dish : 0.3289 0.4223 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] kitchen counter: 0.5637 0.8007 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] doorframe : 0.3445 0.4359 [2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] toilet paper dispenser: 0.1849 0.2074 [2025-03-11 03:18:55,136 INFO hook.py line 689 2389709] mini fridge : 0.3701 0.3949 [2025-03-11 03:18:55,136 INFO hook.py line 689 2389709] fire extinguisher: 0.2010 0.2386 [2025-03-11 03:18:55,136 INFO hook.py line 689 2389709] ball : 0.4331 0.7347 [2025-03-11 03:18:55,136 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 03:18:55,136 INFO hook.py line 689 2389709] shower curtain rod: 0.2655 0.8117 [2025-03-11 03:18:55,136 INFO hook.py line 689 2389709] water cooler : 0.4907 0.5326 [2025-03-11 03:18:55,136 INFO hook.py line 689 2389709] paper cutter : 0.1985 0.3111 [2025-03-11 03:18:55,136 INFO hook.py line 689 2389709] tray : 0.0238 0.0854 [2025-03-11 03:18:55,136 INFO hook.py line 689 2389709] shower door : 0.1562 0.2465 [2025-03-11 03:18:55,136 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 03:18:55,136 INFO hook.py line 689 2389709] ledge : 0.0524 0.0724 [2025-03-11 03:18:55,136 INFO hook.py line 689 2389709] toaster oven : 0.1231 0.1280 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] mouse : 0.0314 0.6306 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6260 0.8495 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] cart : 0.2458 0.3554 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] scale : 0.2908 0.8701 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] tissue box : 0.2370 0.4582 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] light switch : 0.0562 0.1620 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] power outlet : 0.0377 0.0502 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] decoration : 0.3903 0.6137 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] projector : 0.0654 1.0000 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] closet door : 0.0831 0.0929 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] vacuum cleaner : 0.6170 0.6282 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] plunger : 0.6970 0.9645 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] dish rack : 0.3457 0.7884 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] broom : 0.0132 0.0220 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] range hood : 0.6760 0.8992 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] dustpan : 0.0513 0.4000 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] hair dryer : 0.0025 0.0099 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] handicap bar : 0.0490 0.4869 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] shower floor : 0.5013 0.5236 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] mailbox : 0.3235 0.3317 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] bowl : 0.1324 0.3104 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] paper bag : 0.0378 0.0848 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] divider : 0.4491 0.6605 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] bathroom counter: 0.2535 0.2747 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] object : 0.0496 0.1107 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] bathroom vanity: 0.5104 0.8497 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] closet wall : 0.0191 0.0242 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] laundry hamper : 0.0306 0.0413 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] bathroom stall door: 0.4555 0.6092 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] ceiling light : 0.2225 0.2738 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] trash bin : 0.2490 0.3557 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] dumbbell : 0.5746 0.9720 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] stair rail : 0.1125 0.1304 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] tube : 0.0781 0.1083 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] bathroom cabinet: 0.2039 0.3257 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] closet rod : 0.2367 0.8882 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] coffee kettle : 0.0788 0.2540 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] shower head : 0.1816 0.3498 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] keyboard piano : 0.0079 0.0079 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] case of water bottles: 0.1002 0.1002 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] coat rack : 0.0007 0.0024 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 03:18:55,139 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 03:18:55,139 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 03:18:55,139 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 03:18:55,139 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 [2025-03-11 03:18:55,139 INFO hook.py line 690 2389709] ######################################## [2025-03-11 03:18:55,139 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2770/0.3795/0.8138. [2025-03-11 03:18:55,139 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 03:18:55,157 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2832 [2025-03-11 03:18:55,158 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 03:19:26,271 INFO hook.py line 566 2389709] Train: [39/100][50/300] Data 0.002 (0.002) Batch 0.498 (0.490) Remain 02:31:38 loss: 0.7777 Lr: 3.64174e-03 [2025-03-11 03:19:50,829 INFO hook.py line 566 2389709] Train: [39/100][100/300] Data 0.003 (0.002) Batch 0.473 (0.491) Remain 02:31:20 loss: 0.6884 Lr: 3.62946e-03 [2025-03-11 03:20:15,651 INFO hook.py line 566 2389709] Train: [39/100][150/300] Data 0.002 (0.002) Batch 0.451 (0.493) Remain 02:31:31 loss: 0.7292 Lr: 3.61715e-03 [2025-03-11 03:20:40,055 INFO hook.py line 566 2389709] Train: [39/100][200/300] Data 0.002 (0.002) Batch 0.531 (0.492) Remain 02:30:44 loss: 0.5835 Lr: 3.60481e-03 [2025-03-11 03:21:05,250 INFO hook.py line 566 2389709] Train: [39/100][250/300] Data 0.002 (0.002) Batch 0.489 (0.494) Remain 02:31:05 loss: 0.8815 Lr: 3.59243e-03 [2025-03-11 03:21:29,387 INFO hook.py line 566 2389709] Train: [39/100][300/300] Data 0.001 (0.002) Batch 0.437 (0.492) Remain 02:30:06 loss: 0.7386 Lr: 3.58003e-03 [2025-03-11 03:21:29,388 INFO misc.py line 135 2389709] Train result: loss: 0.8052 [2025-03-11 03:21:29,490 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 03:22:23,249 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5662 [2025-03-11 03:22:23,334 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2305 [2025-03-11 03:22:23,372 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7766 [2025-03-11 03:22:23,424 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5055 [2025-03-11 03:22:23,457 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.7808 [2025-03-11 03:22:23,514 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1374 [2025-03-11 03:22:23,571 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.0065 [2025-03-11 03:22:23,609 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3502 [2025-03-11 03:22:23,655 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3194 [2025-03-11 03:22:23,694 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1664 [2025-03-11 03:22:23,748 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1809 [2025-03-11 03:22:23,794 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0168 [2025-03-11 03:22:23,842 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.0824 [2025-03-11 03:22:23,883 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.3163 [2025-03-11 03:22:23,923 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.6944 [2025-03-11 03:22:23,973 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1498 [2025-03-11 03:22:24,014 INFO hook.py line 748 2389709] Test: [17/78] Loss 0.9572 [2025-03-11 03:22:24,051 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8463 [2025-03-11 03:22:24,097 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2822 [2025-03-11 03:22:24,136 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6249 [2025-03-11 03:22:24,175 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6612 [2025-03-11 03:22:24,220 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7258 [2025-03-11 03:22:24,253 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4775 [2025-03-11 03:22:24,321 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1534 [2025-03-11 03:22:24,371 INFO hook.py line 748 2389709] Test: [25/78] Loss 2.1816 [2025-03-11 03:22:24,417 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.0586 [2025-03-11 03:22:24,473 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6369 [2025-03-11 03:22:24,512 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6461 [2025-03-11 03:22:24,547 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.8712 [2025-03-11 03:22:24,605 INFO hook.py line 748 2389709] Test: [30/78] Loss 0.9944 [2025-03-11 03:22:24,662 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4405 [2025-03-11 03:22:24,700 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1104 [2025-03-11 03:22:24,758 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8962 [2025-03-11 03:22:24,799 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3149 [2025-03-11 03:22:24,845 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2138 [2025-03-11 03:22:24,891 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.6365 [2025-03-11 03:22:24,935 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.2172 [2025-03-11 03:22:24,966 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7918 [2025-03-11 03:22:25,037 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.4709 [2025-03-11 03:22:25,083 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.2997 [2025-03-11 03:22:25,137 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.5142 [2025-03-11 03:22:25,170 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5069 [2025-03-11 03:22:25,205 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0754 [2025-03-11 03:22:25,265 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9657 [2025-03-11 03:22:25,301 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.2246 [2025-03-11 03:22:25,350 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0389 [2025-03-11 03:22:25,388 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7928 [2025-03-11 03:22:25,427 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1229 [2025-03-11 03:22:25,461 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4597 [2025-03-11 03:22:25,495 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.7157 [2025-03-11 03:22:25,524 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9598 [2025-03-11 03:22:25,564 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.4460 [2025-03-11 03:22:25,591 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1254 [2025-03-11 03:22:25,627 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.7778 [2025-03-11 03:22:25,666 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.7416 [2025-03-11 03:22:25,707 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8774 [2025-03-11 03:22:25,744 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.7881 [2025-03-11 03:22:25,770 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9827 [2025-03-11 03:22:25,812 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8348 [2025-03-11 03:22:25,848 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5203 [2025-03-11 03:22:25,876 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8354 [2025-03-11 03:22:25,911 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9445 [2025-03-11 03:22:25,952 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.3099 [2025-03-11 03:22:26,008 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8409 [2025-03-11 03:22:26,036 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1622 [2025-03-11 03:22:26,080 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7693 [2025-03-11 03:22:26,123 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9038 [2025-03-11 03:22:26,159 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.8036 [2025-03-11 03:22:26,191 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4287 [2025-03-11 03:22:26,253 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7872 [2025-03-11 03:22:26,297 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.3873 [2025-03-11 03:22:26,351 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7477 [2025-03-11 03:22:26,404 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.8331 [2025-03-11 03:22:26,448 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.1256 [2025-03-11 03:22:26,500 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.3529 [2025-03-11 03:22:26,528 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0379 [2025-03-11 03:22:26,587 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.9559 [2025-03-11 03:22:26,618 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.1288 [2025-03-11 03:22:27,958 INFO hook.py line 674 2389709] ######################################## [2025-03-11 03:22:27,958 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 03:22:27,958 INFO hook.py line 680 2389709] ######################################## [2025-03-11 03:22:27,958 INFO hook.py line 689 2389709] wall : 0.7906 0.9046 [2025-03-11 03:22:27,959 INFO hook.py line 689 2389709] chair : 0.6329 0.6958 [2025-03-11 03:22:27,959 INFO hook.py line 689 2389709] floor : 0.9572 0.9825 [2025-03-11 03:22:27,959 INFO hook.py line 689 2389709] table : 0.6412 0.7997 [2025-03-11 03:22:27,959 INFO hook.py line 689 2389709] door : 0.6217 0.7681 [2025-03-11 03:22:27,959 INFO hook.py line 689 2389709] couch : 0.7551 0.8721 [2025-03-11 03:22:27,959 INFO hook.py line 689 2389709] cabinet : 0.3295 0.5415 [2025-03-11 03:22:27,959 INFO hook.py line 689 2389709] shelf : 0.4036 0.5808 [2025-03-11 03:22:27,959 INFO hook.py line 689 2389709] desk : 0.5599 0.7400 [2025-03-11 03:22:27,959 INFO hook.py line 689 2389709] office chair : 0.2871 0.8323 [2025-03-11 03:22:27,959 INFO hook.py line 689 2389709] bed : 0.7511 0.8946 [2025-03-11 03:22:27,960 INFO hook.py line 689 2389709] pillow : 0.4820 0.8025 [2025-03-11 03:22:27,960 INFO hook.py line 689 2389709] sink : 0.6356 0.7657 [2025-03-11 03:22:27,960 INFO hook.py line 689 2389709] picture : 0.3421 0.4788 [2025-03-11 03:22:27,960 INFO hook.py line 689 2389709] window : 0.5554 0.6810 [2025-03-11 03:22:27,960 INFO hook.py line 689 2389709] toilet : 0.9072 0.9561 [2025-03-11 03:22:27,960 INFO hook.py line 689 2389709] bookshelf : 0.4358 0.5869 [2025-03-11 03:22:27,960 INFO hook.py line 689 2389709] monitor : 0.8266 0.8684 [2025-03-11 03:22:27,960 INFO hook.py line 689 2389709] curtain : 0.6701 0.8158 [2025-03-11 03:22:27,960 INFO hook.py line 689 2389709] book : 0.4479 0.7666 [2025-03-11 03:22:27,960 INFO hook.py line 689 2389709] armchair : 0.4731 0.5787 [2025-03-11 03:22:27,960 INFO hook.py line 689 2389709] coffee table : 0.6329 0.7480 [2025-03-11 03:22:27,960 INFO hook.py line 689 2389709] box : 0.2539 0.2906 [2025-03-11 03:22:27,961 INFO hook.py line 689 2389709] refrigerator : 0.6156 0.6882 [2025-03-11 03:22:27,961 INFO hook.py line 689 2389709] lamp : 0.6214 0.7407 [2025-03-11 03:22:27,961 INFO hook.py line 689 2389709] kitchen cabinet: 0.5789 0.6869 [2025-03-11 03:22:27,961 INFO hook.py line 689 2389709] towel : 0.3982 0.6428 [2025-03-11 03:22:27,961 INFO hook.py line 689 2389709] clothes : 0.1790 0.3698 [2025-03-11 03:22:27,961 INFO hook.py line 689 2389709] tv : 0.8148 0.8735 [2025-03-11 03:22:27,961 INFO hook.py line 689 2389709] nightstand : 0.5803 0.8466 [2025-03-11 03:22:27,961 INFO hook.py line 689 2389709] counter : 0.2509 0.4882 [2025-03-11 03:22:27,961 INFO hook.py line 689 2389709] dresser : 0.3555 0.5167 [2025-03-11 03:22:27,961 INFO hook.py line 689 2389709] stool : 0.5161 0.7225 [2025-03-11 03:22:27,961 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 03:22:27,962 INFO hook.py line 689 2389709] plant : 0.7195 0.8416 [2025-03-11 03:22:27,962 INFO hook.py line 689 2389709] ceiling : 0.9288 0.9749 [2025-03-11 03:22:27,962 INFO hook.py line 689 2389709] bathtub : 0.8480 0.8869 [2025-03-11 03:22:27,962 INFO hook.py line 689 2389709] end table : 0.1723 0.3074 [2025-03-11 03:22:27,962 INFO hook.py line 689 2389709] dining table : 0.0033 0.0033 [2025-03-11 03:22:27,962 INFO hook.py line 689 2389709] keyboard : 0.3747 0.5573 [2025-03-11 03:22:27,962 INFO hook.py line 689 2389709] bag : 0.1912 0.3424 [2025-03-11 03:22:27,962 INFO hook.py line 689 2389709] backpack : 0.5189 0.5751 [2025-03-11 03:22:27,962 INFO hook.py line 689 2389709] toilet paper : 0.3997 0.5980 [2025-03-11 03:22:27,962 INFO hook.py line 689 2389709] printer : 0.4320 0.6414 [2025-03-11 03:22:27,962 INFO hook.py line 689 2389709] tv stand : 0.4188 0.8754 [2025-03-11 03:22:27,963 INFO hook.py line 689 2389709] whiteboard : 0.4700 0.5519 [2025-03-11 03:22:27,963 INFO hook.py line 689 2389709] blanket : 0.0342 0.0438 [2025-03-11 03:22:27,963 INFO hook.py line 689 2389709] shower curtain : 0.6902 0.7925 [2025-03-11 03:22:27,963 INFO hook.py line 689 2389709] trash can : 0.6051 0.8477 [2025-03-11 03:22:27,963 INFO hook.py line 689 2389709] closet : 0.0628 0.1119 [2025-03-11 03:22:27,963 INFO hook.py line 689 2389709] stairs : 0.5989 0.6827 [2025-03-11 03:22:27,963 INFO hook.py line 689 2389709] microwave : 0.3861 0.7558 [2025-03-11 03:22:27,963 INFO hook.py line 689 2389709] stove : 0.5745 0.7608 [2025-03-11 03:22:27,963 INFO hook.py line 689 2389709] shoe : 0.4440 0.7053 [2025-03-11 03:22:27,963 INFO hook.py line 689 2389709] computer tower : 0.5425 0.6536 [2025-03-11 03:22:27,963 INFO hook.py line 689 2389709] bottle : 0.1216 0.3317 [2025-03-11 03:22:27,963 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 03:22:27,964 INFO hook.py line 689 2389709] ottoman : 0.2795 0.3462 [2025-03-11 03:22:27,964 INFO hook.py line 689 2389709] bench : 0.2381 0.2823 [2025-03-11 03:22:27,964 INFO hook.py line 689 2389709] board : 0.1588 0.2070 [2025-03-11 03:22:27,964 INFO hook.py line 689 2389709] washing machine: 0.6983 0.7383 [2025-03-11 03:22:27,964 INFO hook.py line 689 2389709] mirror : 0.3616 0.5205 [2025-03-11 03:22:27,964 INFO hook.py line 689 2389709] copier : 0.7907 0.9307 [2025-03-11 03:22:27,964 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 03:22:27,964 INFO hook.py line 689 2389709] sofa chair : 0.1302 0.2340 [2025-03-11 03:22:27,964 INFO hook.py line 689 2389709] file cabinet : 0.4759 0.5042 [2025-03-11 03:22:27,964 INFO hook.py line 689 2389709] fan : 0.3607 0.3802 [2025-03-11 03:22:27,964 INFO hook.py line 689 2389709] laptop : 0.3979 0.7802 [2025-03-11 03:22:27,965 INFO hook.py line 689 2389709] shower : 0.2493 0.3807 [2025-03-11 03:22:27,965 INFO hook.py line 689 2389709] paper : 0.0830 0.1887 [2025-03-11 03:22:27,965 INFO hook.py line 689 2389709] person : 0.2277 0.5134 [2025-03-11 03:22:27,965 INFO hook.py line 689 2389709] paper towel dispenser: 0.5612 0.7612 [2025-03-11 03:22:27,965 INFO hook.py line 689 2389709] oven : 0.0753 0.0970 [2025-03-11 03:22:27,965 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 03:22:27,965 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 03:22:27,965 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 03:22:27,965 INFO hook.py line 689 2389709] blackboard : 0.4708 0.7538 [2025-03-11 03:22:27,966 INFO hook.py line 689 2389709] piano : 0.3066 0.4184 [2025-03-11 03:22:27,966 INFO hook.py line 689 2389709] suitcase : 0.6058 0.7635 [2025-03-11 03:22:27,966 INFO hook.py line 689 2389709] rail : 0.0698 0.1047 [2025-03-11 03:22:27,966 INFO hook.py line 689 2389709] radiator : 0.5001 0.6985 [2025-03-11 03:22:27,966 INFO hook.py line 689 2389709] recycling bin : 0.4114 0.4281 [2025-03-11 03:22:27,966 INFO hook.py line 689 2389709] container : 0.0116 0.0380 [2025-03-11 03:22:27,966 INFO hook.py line 689 2389709] wardrobe : 0.2200 0.3783 [2025-03-11 03:22:27,966 INFO hook.py line 689 2389709] soap dispenser : 0.8091 0.8921 [2025-03-11 03:22:27,968 INFO hook.py line 689 2389709] telephone : 0.3168 0.4897 [2025-03-11 03:22:27,968 INFO hook.py line 689 2389709] bucket : 0.1823 0.3686 [2025-03-11 03:22:27,968 INFO hook.py line 689 2389709] clock : 0.2025 0.2396 [2025-03-11 03:22:27,968 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 03:22:27,968 INFO hook.py line 689 2389709] light : 0.0228 0.0277 [2025-03-11 03:22:27,968 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 [2025-03-11 03:22:27,968 INFO hook.py line 689 2389709] pipe : 0.0702 0.0758 [2025-03-11 03:22:27,969 INFO hook.py line 689 2389709] clothes dryer : 0.5672 0.7048 [2025-03-11 03:22:27,969 INFO hook.py line 689 2389709] guitar : 0.5301 0.6495 [2025-03-11 03:22:27,969 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 03:22:27,969 INFO hook.py line 689 2389709] seat : 0.0108 0.0114 [2025-03-11 03:22:27,969 INFO hook.py line 689 2389709] speaker : 0.0088 0.0318 [2025-03-11 03:22:27,969 INFO hook.py line 689 2389709] column : 0.2319 0.3383 [2025-03-11 03:22:27,969 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 03:22:27,969 INFO hook.py line 689 2389709] ladder : 0.1369 0.1529 [2025-03-11 03:22:27,969 INFO hook.py line 689 2389709] bathroom stall : 0.5134 0.6469 [2025-03-11 03:22:27,969 INFO hook.py line 689 2389709] shower wall : 0.4956 0.6279 [2025-03-11 03:22:27,969 INFO hook.py line 689 2389709] cup : 0.1411 0.2934 [2025-03-11 03:22:27,970 INFO hook.py line 689 2389709] jacket : 0.1925 0.2237 [2025-03-11 03:22:27,970 INFO hook.py line 689 2389709] storage bin : 0.0119 0.0152 [2025-03-11 03:22:27,970 INFO hook.py line 689 2389709] coffee maker : 0.5398 0.9894 [2025-03-11 03:22:27,970 INFO hook.py line 689 2389709] dishwasher : 0.3850 0.6190 [2025-03-11 03:22:27,970 INFO hook.py line 689 2389709] paper towel roll: 0.4356 0.6710 [2025-03-11 03:22:27,970 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 03:22:27,970 INFO hook.py line 689 2389709] mat : 0.2718 0.4268 [2025-03-11 03:22:27,970 INFO hook.py line 689 2389709] windowsill : 0.1823 0.1989 [2025-03-11 03:22:27,970 INFO hook.py line 689 2389709] bar : 0.0000 0.0000 [2025-03-11 03:22:27,970 INFO hook.py line 689 2389709] toaster : 0.0072 0.0150 [2025-03-11 03:22:27,970 INFO hook.py line 689 2389709] bulletin board : 0.2127 0.5797 [2025-03-11 03:22:27,971 INFO hook.py line 689 2389709] ironing board : 0.0997 0.1188 [2025-03-11 03:22:27,971 INFO hook.py line 689 2389709] fireplace : 0.4813 0.5029 [2025-03-11 03:22:27,971 INFO hook.py line 689 2389709] soap dish : 0.3459 0.5111 [2025-03-11 03:22:27,971 INFO hook.py line 689 2389709] kitchen counter: 0.4242 0.5608 [2025-03-11 03:22:27,971 INFO hook.py line 689 2389709] doorframe : 0.3766 0.6698 [2025-03-11 03:22:27,971 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4314 0.8677 [2025-03-11 03:22:27,971 INFO hook.py line 689 2389709] mini fridge : 0.2671 0.3276 [2025-03-11 03:22:27,971 INFO hook.py line 689 2389709] fire extinguisher: 0.0992 0.2279 [2025-03-11 03:22:27,971 INFO hook.py line 689 2389709] ball : 0.5607 0.8220 [2025-03-11 03:22:27,971 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 03:22:27,971 INFO hook.py line 689 2389709] shower curtain rod: 0.4958 0.7450 [2025-03-11 03:22:27,972 INFO hook.py line 689 2389709] water cooler : 0.1193 0.1193 [2025-03-11 03:22:27,972 INFO hook.py line 689 2389709] paper cutter : 0.1861 0.2162 [2025-03-11 03:22:27,972 INFO hook.py line 689 2389709] tray : 0.0288 0.0881 [2025-03-11 03:22:27,972 INFO hook.py line 689 2389709] shower door : 0.1714 0.4307 [2025-03-11 03:22:27,972 INFO hook.py line 689 2389709] pillar : 0.0066 0.0066 [2025-03-11 03:22:27,972 INFO hook.py line 689 2389709] ledge : 0.0543 0.1099 [2025-03-11 03:22:27,972 INFO hook.py line 689 2389709] toaster oven : 0.0215 0.0222 [2025-03-11 03:22:27,972 INFO hook.py line 689 2389709] mouse : 0.0355 0.3422 [2025-03-11 03:22:27,972 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.4956 0.5731 [2025-03-11 03:22:27,972 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 03:22:27,972 INFO hook.py line 689 2389709] cart : 0.0565 0.0623 [2025-03-11 03:22:27,973 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 03:22:27,973 INFO hook.py line 689 2389709] scale : 0.1439 0.9425 [2025-03-11 03:22:27,973 INFO hook.py line 689 2389709] tissue box : 0.2636 0.4997 [2025-03-11 03:22:27,973 INFO hook.py line 689 2389709] light switch : 0.0626 0.3333 [2025-03-11 03:22:27,973 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 03:22:27,973 INFO hook.py line 689 2389709] power outlet : 0.1474 0.4615 [2025-03-11 03:22:27,973 INFO hook.py line 689 2389709] decoration : 0.1478 0.2680 [2025-03-11 03:22:27,973 INFO hook.py line 689 2389709] sign : 0.0965 0.1688 [2025-03-11 03:22:27,973 INFO hook.py line 689 2389709] projector : 0.2091 0.8883 [2025-03-11 03:22:27,973 INFO hook.py line 689 2389709] closet door : 0.0446 0.0461 [2025-03-11 03:22:27,973 INFO hook.py line 689 2389709] vacuum cleaner : 0.8360 0.9273 [2025-03-11 03:22:27,973 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 03:22:27,974 INFO hook.py line 689 2389709] plunger : 0.5025 0.9771 [2025-03-11 03:22:27,974 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 03:22:27,974 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 03:22:27,974 INFO hook.py line 689 2389709] dish rack : 0.4168 0.9140 [2025-03-11 03:22:27,974 INFO hook.py line 689 2389709] broom : 0.0189 0.0619 [2025-03-11 03:22:27,974 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 03:22:27,974 INFO hook.py line 689 2389709] range hood : 0.6424 0.7509 [2025-03-11 03:22:27,974 INFO hook.py line 689 2389709] dustpan : 0.0754 0.2453 [2025-03-11 03:22:27,974 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 03:22:27,974 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 03:22:27,974 INFO hook.py line 689 2389709] handicap bar : 0.0289 0.5634 [2025-03-11 03:22:27,975 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 03:22:27,975 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 03:22:27,975 INFO hook.py line 689 2389709] shower floor : 0.6664 0.9569 [2025-03-11 03:22:27,975 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 03:22:27,975 INFO hook.py line 689 2389709] mailbox : 0.4090 0.4251 [2025-03-11 03:22:27,975 INFO hook.py line 689 2389709] bowl : 0.0380 0.1354 [2025-03-11 03:22:27,975 INFO hook.py line 689 2389709] paper bag : 0.0551 0.0965 [2025-03-11 03:22:27,975 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 03:22:27,975 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 03:22:27,975 INFO hook.py line 689 2389709] projector screen: 0.0769 0.0915 [2025-03-11 03:22:27,975 INFO hook.py line 689 2389709] divider : 0.4228 0.5247 [2025-03-11 03:22:27,975 INFO hook.py line 689 2389709] laundry detergent: 0.0055 0.0076 [2025-03-11 03:22:27,976 INFO hook.py line 689 2389709] bathroom counter: 0.1814 0.2231 [2025-03-11 03:22:27,976 INFO hook.py line 689 2389709] object : 0.0296 0.0461 [2025-03-11 03:22:27,976 INFO hook.py line 689 2389709] bathroom vanity: 0.4055 0.8593 [2025-03-11 03:22:27,976 INFO hook.py line 689 2389709] closet wall : 0.0854 0.1831 [2025-03-11 03:22:27,976 INFO hook.py line 689 2389709] laundry hamper : 0.0836 0.1544 [2025-03-11 03:22:27,976 INFO hook.py line 689 2389709] bathroom stall door: 0.4140 0.6310 [2025-03-11 03:22:27,976 INFO hook.py line 689 2389709] ceiling light : 0.2971 0.4281 [2025-03-11 03:22:27,976 INFO hook.py line 689 2389709] trash bin : 0.3826 0.6186 [2025-03-11 03:22:27,976 INFO hook.py line 689 2389709] dumbbell : 0.2396 0.9718 [2025-03-11 03:22:27,976 INFO hook.py line 689 2389709] stair rail : 0.0761 0.0854 [2025-03-11 03:22:27,976 INFO hook.py line 689 2389709] tube : 0.1265 0.1762 [2025-03-11 03:22:27,977 INFO hook.py line 689 2389709] bathroom cabinet: 0.1928 0.2307 [2025-03-11 03:22:27,977 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 03:22:27,977 INFO hook.py line 689 2389709] closet rod : 0.4263 0.8740 [2025-03-11 03:22:27,977 INFO hook.py line 689 2389709] coffee kettle : 0.0083 0.0100 [2025-03-11 03:22:27,977 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 03:22:27,977 INFO hook.py line 689 2389709] shower head : 0.2873 0.3029 [2025-03-11 03:22:27,977 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 03:22:27,977 INFO hook.py line 689 2389709] case of water bottles: 0.0022 0.0022 [2025-03-11 03:22:27,977 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 03:22:27,977 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 03:22:27,977 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 03:22:27,978 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 03:22:27,978 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 03:22:27,978 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 03:22:27,978 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 03:22:27,978 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 03:22:27,978 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 03:22:27,978 INFO hook.py line 689 2389709] mattress : 0.0087 0.0088 [2025-03-11 03:22:27,978 INFO hook.py line 690 2389709] ######################################## [2025-03-11 03:22:27,978 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2766/0.3976/0.8030. [2025-03-11 03:22:27,979 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 03:22:27,997 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2832 [2025-03-11 03:22:27,998 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 03:22:58,128 INFO hook.py line 566 2389709] Train: [40/100][50/300] Data 0.003 (0.003) Batch 0.542 (0.492) Remain 02:29:41 loss: 0.9168 Lr: 3.56758e-03 [2025-03-11 03:23:22,962 INFO hook.py line 566 2389709] Train: [40/100][100/300] Data 0.002 (0.002) Batch 0.494 (0.494) Remain 02:29:59 loss: 0.7189 Lr: 3.55511e-03 [2025-03-11 03:23:47,656 INFO hook.py line 566 2389709] Train: [40/100][150/300] Data 0.002 (0.002) Batch 0.538 (0.494) Remain 02:29:31 loss: 0.9096 Lr: 3.54260e-03 [2025-03-11 03:24:12,385 INFO hook.py line 566 2389709] Train: [40/100][200/300] Data 0.003 (0.002) Batch 0.467 (0.494) Remain 02:29:07 loss: 0.8428 Lr: 3.53006e-03 [2025-03-11 03:24:36,677 INFO hook.py line 566 2389709] Train: [40/100][250/300] Data 0.002 (0.002) Batch 0.533 (0.493) Remain 02:28:11 loss: 0.9511 Lr: 3.51749e-03 [2025-03-11 03:25:00,534 INFO hook.py line 566 2389709] Train: [40/100][300/300] Data 0.001 (0.002) Batch 0.471 (0.490) Remain 02:27:00 loss: 0.9310 Lr: 3.50489e-03 [2025-03-11 03:25:00,534 INFO misc.py line 135 2389709] Train result: loss: 0.8018 [2025-03-11 03:25:00,626 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 03:25:55,239 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6596 [2025-03-11 03:25:55,284 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.4706 [2025-03-11 03:25:55,319 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7887 [2025-03-11 03:25:55,368 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4796 [2025-03-11 03:25:55,401 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9941 [2025-03-11 03:25:55,462 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2018 [2025-03-11 03:25:55,516 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8498 [2025-03-11 03:25:55,552 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.5093 [2025-03-11 03:25:55,606 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3445 [2025-03-11 03:25:55,653 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1228 [2025-03-11 03:25:55,702 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2949 [2025-03-11 03:25:55,739 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.8520 [2025-03-11 03:25:55,787 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.8969 [2025-03-11 03:25:55,832 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.6572 [2025-03-11 03:25:55,869 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0381 [2025-03-11 03:25:55,916 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.4844 [2025-03-11 03:25:55,956 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2291 [2025-03-11 03:25:55,994 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0822 [2025-03-11 03:25:56,044 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.1478 [2025-03-11 03:25:56,080 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5053 [2025-03-11 03:25:56,119 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.5978 [2025-03-11 03:25:56,176 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7220 [2025-03-11 03:25:56,217 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3486 [2025-03-11 03:25:56,267 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9377 [2025-03-11 03:25:56,325 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.2463 [2025-03-11 03:25:56,371 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.6178 [2025-03-11 03:25:56,425 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6994 [2025-03-11 03:25:56,462 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6829 [2025-03-11 03:25:56,497 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.8215 [2025-03-11 03:25:56,555 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.7947 [2025-03-11 03:25:56,616 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.7392 [2025-03-11 03:25:56,660 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0628 [2025-03-11 03:25:56,732 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.9157 [2025-03-11 03:25:56,781 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.1204 [2025-03-11 03:25:56,831 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2441 [2025-03-11 03:25:56,875 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3191 [2025-03-11 03:25:56,913 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.9667 [2025-03-11 03:25:56,942 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9750 [2025-03-11 03:25:57,010 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.7051 [2025-03-11 03:25:57,059 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.2865 [2025-03-11 03:25:57,110 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2076 [2025-03-11 03:25:57,142 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4872 [2025-03-11 03:25:57,186 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.8720 [2025-03-11 03:25:57,245 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9347 [2025-03-11 03:25:57,299 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.2473 [2025-03-11 03:25:57,356 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1493 [2025-03-11 03:25:57,394 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.6494 [2025-03-11 03:25:57,428 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9638 [2025-03-11 03:25:57,463 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.2875 [2025-03-11 03:25:57,502 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.3609 [2025-03-11 03:25:57,531 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0758 [2025-03-11 03:25:57,566 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.4925 [2025-03-11 03:25:57,595 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2600 [2025-03-11 03:25:57,636 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.9740 [2025-03-11 03:25:57,678 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3218 [2025-03-11 03:25:57,720 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9497 [2025-03-11 03:25:57,758 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.7392 [2025-03-11 03:25:57,787 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1701 [2025-03-11 03:25:57,829 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7573 [2025-03-11 03:25:57,866 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7044 [2025-03-11 03:25:57,890 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8993 [2025-03-11 03:25:57,927 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1972 [2025-03-11 03:25:57,964 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.7926 [2025-03-11 03:25:58,021 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6473 [2025-03-11 03:25:58,051 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1862 [2025-03-11 03:25:58,099 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.3724 [2025-03-11 03:25:58,138 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9750 [2025-03-11 03:25:58,176 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.6492 [2025-03-11 03:25:58,212 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4342 [2025-03-11 03:25:58,282 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.3010 [2025-03-11 03:25:58,325 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5031 [2025-03-11 03:25:58,380 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5947 [2025-03-11 03:25:58,434 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5422 [2025-03-11 03:25:58,483 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.0793 [2025-03-11 03:25:58,538 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.4106 [2025-03-11 03:25:58,570 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7667 [2025-03-11 03:25:58,630 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.8289 [2025-03-11 03:25:58,657 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8459 [2025-03-11 03:25:59,936 INFO hook.py line 674 2389709] ######################################## [2025-03-11 03:25:59,936 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 03:25:59,936 INFO hook.py line 680 2389709] ######################################## [2025-03-11 03:25:59,936 INFO hook.py line 689 2389709] wall : 0.7800 0.9007 [2025-03-11 03:25:59,937 INFO hook.py line 689 2389709] chair : 0.6283 0.7229 [2025-03-11 03:25:59,937 INFO hook.py line 689 2389709] floor : 0.9563 0.9793 [2025-03-11 03:25:59,937 INFO hook.py line 689 2389709] table : 0.6058 0.7451 [2025-03-11 03:25:59,937 INFO hook.py line 689 2389709] door : 0.6527 0.7858 [2025-03-11 03:25:59,937 INFO hook.py line 689 2389709] couch : 0.7919 0.8686 [2025-03-11 03:25:59,937 INFO hook.py line 689 2389709] cabinet : 0.2844 0.5797 [2025-03-11 03:25:59,937 INFO hook.py line 689 2389709] shelf : 0.4816 0.6884 [2025-03-11 03:25:59,937 INFO hook.py line 689 2389709] desk : 0.5522 0.8032 [2025-03-11 03:25:59,937 INFO hook.py line 689 2389709] office chair : 0.2924 0.8105 [2025-03-11 03:25:59,937 INFO hook.py line 689 2389709] bed : 0.7455 0.8667 [2025-03-11 03:25:59,938 INFO hook.py line 689 2389709] pillow : 0.5321 0.7737 [2025-03-11 03:25:59,938 INFO hook.py line 689 2389709] sink : 0.6354 0.7450 [2025-03-11 03:25:59,938 INFO hook.py line 689 2389709] picture : 0.3404 0.4502 [2025-03-11 03:25:59,938 INFO hook.py line 689 2389709] window : 0.5612 0.6995 [2025-03-11 03:25:59,938 INFO hook.py line 689 2389709] toilet : 0.9307 0.9506 [2025-03-11 03:25:59,938 INFO hook.py line 689 2389709] bookshelf : 0.5445 0.6468 [2025-03-11 03:25:59,938 INFO hook.py line 689 2389709] monitor : 0.8211 0.9435 [2025-03-11 03:25:59,938 INFO hook.py line 689 2389709] curtain : 0.7022 0.8489 [2025-03-11 03:25:59,938 INFO hook.py line 689 2389709] book : 0.4782 0.7201 [2025-03-11 03:25:59,938 INFO hook.py line 689 2389709] armchair : 0.4940 0.6352 [2025-03-11 03:25:59,938 INFO hook.py line 689 2389709] coffee table : 0.5946 0.7874 [2025-03-11 03:25:59,939 INFO hook.py line 689 2389709] box : 0.2946 0.4749 [2025-03-11 03:25:59,939 INFO hook.py line 689 2389709] refrigerator : 0.5650 0.5935 [2025-03-11 03:25:59,939 INFO hook.py line 689 2389709] lamp : 0.6320 0.7553 [2025-03-11 03:25:59,939 INFO hook.py line 689 2389709] kitchen cabinet: 0.6718 0.7679 [2025-03-11 03:25:59,939 INFO hook.py line 689 2389709] towel : 0.4880 0.5984 [2025-03-11 03:25:59,939 INFO hook.py line 689 2389709] clothes : 0.2264 0.4360 [2025-03-11 03:25:59,939 INFO hook.py line 689 2389709] tv : 0.7910 0.8655 [2025-03-11 03:25:59,939 INFO hook.py line 689 2389709] nightstand : 0.6509 0.8108 [2025-03-11 03:25:59,939 INFO hook.py line 689 2389709] counter : 0.2314 0.3422 [2025-03-11 03:25:59,939 INFO hook.py line 689 2389709] dresser : 0.3283 0.6010 [2025-03-11 03:25:59,940 INFO hook.py line 689 2389709] stool : 0.4769 0.7860 [2025-03-11 03:25:59,940 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 03:25:59,940 INFO hook.py line 689 2389709] plant : 0.6780 0.7313 [2025-03-11 03:25:59,940 INFO hook.py line 689 2389709] ceiling : 0.9315 0.9624 [2025-03-11 03:25:59,940 INFO hook.py line 689 2389709] bathtub : 0.8596 0.8885 [2025-03-11 03:25:59,940 INFO hook.py line 689 2389709] end table : 0.2724 0.4174 [2025-03-11 03:25:59,940 INFO hook.py line 689 2389709] dining table : 0.1188 0.1405 [2025-03-11 03:25:59,940 INFO hook.py line 689 2389709] keyboard : 0.4155 0.5840 [2025-03-11 03:25:59,940 INFO hook.py line 689 2389709] bag : 0.1642 0.2989 [2025-03-11 03:25:59,940 INFO hook.py line 689 2389709] backpack : 0.5216 0.5821 [2025-03-11 03:25:59,940 INFO hook.py line 689 2389709] toilet paper : 0.4476 0.5127 [2025-03-11 03:25:59,941 INFO hook.py line 689 2389709] printer : 0.4922 0.5801 [2025-03-11 03:25:59,941 INFO hook.py line 689 2389709] tv stand : 0.4680 0.5875 [2025-03-11 03:25:59,941 INFO hook.py line 689 2389709] whiteboard : 0.4735 0.5945 [2025-03-11 03:25:59,941 INFO hook.py line 689 2389709] blanket : 0.0498 0.0560 [2025-03-11 03:25:59,941 INFO hook.py line 689 2389709] shower curtain : 0.5678 0.6288 [2025-03-11 03:25:59,941 INFO hook.py line 689 2389709] trash can : 0.6103 0.8162 [2025-03-11 03:25:59,941 INFO hook.py line 689 2389709] closet : 0.1653 0.2488 [2025-03-11 03:25:59,941 INFO hook.py line 689 2389709] stairs : 0.6023 0.6685 [2025-03-11 03:25:59,941 INFO hook.py line 689 2389709] microwave : 0.5171 0.6327 [2025-03-11 03:25:59,941 INFO hook.py line 689 2389709] stove : 0.6595 0.7978 [2025-03-11 03:25:59,941 INFO hook.py line 689 2389709] shoe : 0.4870 0.6502 [2025-03-11 03:25:59,942 INFO hook.py line 689 2389709] computer tower : 0.4953 0.7818 [2025-03-11 03:25:59,942 INFO hook.py line 689 2389709] bottle : 0.1166 0.2855 [2025-03-11 03:25:59,942 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 03:25:59,942 INFO hook.py line 689 2389709] ottoman : 0.2815 0.3376 [2025-03-11 03:25:59,942 INFO hook.py line 689 2389709] bench : 0.3881 0.5717 [2025-03-11 03:25:59,942 INFO hook.py line 689 2389709] board : 0.2422 0.4132 [2025-03-11 03:25:59,942 INFO hook.py line 689 2389709] washing machine: 0.7625 0.7786 [2025-03-11 03:25:59,942 INFO hook.py line 689 2389709] mirror : 0.3635 0.5388 [2025-03-11 03:25:59,942 INFO hook.py line 689 2389709] copier : 0.8257 0.9111 [2025-03-11 03:25:59,942 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 03:25:59,942 INFO hook.py line 689 2389709] sofa chair : 0.1503 0.1799 [2025-03-11 03:25:59,943 INFO hook.py line 689 2389709] file cabinet : 0.4932 0.6421 [2025-03-11 03:25:59,943 INFO hook.py line 689 2389709] fan : 0.2609 0.4224 [2025-03-11 03:25:59,943 INFO hook.py line 689 2389709] laptop : 0.3846 0.7392 [2025-03-11 03:25:59,943 INFO hook.py line 689 2389709] shower : 0.1379 0.1436 [2025-03-11 03:25:59,943 INFO hook.py line 689 2389709] paper : 0.0679 0.1226 [2025-03-11 03:25:59,943 INFO hook.py line 689 2389709] person : 0.1184 0.4409 [2025-03-11 03:25:59,943 INFO hook.py line 689 2389709] paper towel dispenser: 0.4962 0.8154 [2025-03-11 03:25:59,943 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 [2025-03-11 03:25:59,943 INFO hook.py line 689 2389709] blinds : 0.0400 0.0409 [2025-03-11 03:25:59,943 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 03:25:59,943 INFO hook.py line 689 2389709] plate : 0.0016 0.0023 [2025-03-11 03:25:59,944 INFO hook.py line 689 2389709] blackboard : 0.5016 0.6332 [2025-03-11 03:25:59,944 INFO hook.py line 689 2389709] piano : 0.3525 0.5037 [2025-03-11 03:25:59,944 INFO hook.py line 689 2389709] suitcase : 0.5472 0.6274 [2025-03-11 03:25:59,944 INFO hook.py line 689 2389709] rail : 0.0159 0.0185 [2025-03-11 03:25:59,944 INFO hook.py line 689 2389709] radiator : 0.5952 0.7102 [2025-03-11 03:25:59,944 INFO hook.py line 689 2389709] recycling bin : 0.4325 0.4901 [2025-03-11 03:25:59,944 INFO hook.py line 689 2389709] container : 0.0098 0.0226 [2025-03-11 03:25:59,944 INFO hook.py line 689 2389709] wardrobe : 0.1407 0.1715 [2025-03-11 03:25:59,944 INFO hook.py line 689 2389709] soap dispenser : 0.7691 0.9104 [2025-03-11 03:25:59,944 INFO hook.py line 689 2389709] telephone : 0.2771 0.5541 [2025-03-11 03:25:59,944 INFO hook.py line 689 2389709] bucket : 0.5054 0.8209 [2025-03-11 03:25:59,945 INFO hook.py line 689 2389709] clock : 0.2312 0.3066 [2025-03-11 03:25:59,945 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 03:25:59,945 INFO hook.py line 689 2389709] light : 0.0197 0.0227 [2025-03-11 03:25:59,945 INFO hook.py line 689 2389709] laundry basket : 0.0054 0.0054 [2025-03-11 03:25:59,945 INFO hook.py line 689 2389709] pipe : 0.0875 0.1114 [2025-03-11 03:25:59,945 INFO hook.py line 689 2389709] clothes dryer : 0.4490 0.4736 [2025-03-11 03:25:59,945 INFO hook.py line 689 2389709] guitar : 0.6766 0.8661 [2025-03-11 03:25:59,945 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 03:25:59,945 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 03:25:59,945 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 03:25:59,945 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 03:25:59,946 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 03:25:59,946 INFO hook.py line 689 2389709] ladder : 0.4461 0.5574 [2025-03-11 03:25:59,946 INFO hook.py line 689 2389709] bathroom stall : 0.3052 0.3458 [2025-03-11 03:25:59,946 INFO hook.py line 689 2389709] shower wall : 0.4392 0.5089 [2025-03-11 03:25:59,946 INFO hook.py line 689 2389709] cup : 0.1634 0.2918 [2025-03-11 03:25:59,946 INFO hook.py line 689 2389709] jacket : 0.1929 0.2745 [2025-03-11 03:25:59,946 INFO hook.py line 689 2389709] storage bin : 0.0002 0.0004 [2025-03-11 03:25:59,946 INFO hook.py line 689 2389709] coffee maker : 0.9681 0.9865 [2025-03-11 03:25:59,946 INFO hook.py line 689 2389709] dishwasher : 0.1233 0.1632 [2025-03-11 03:25:59,946 INFO hook.py line 689 2389709] paper towel roll: 0.2890 0.3358 [2025-03-11 03:25:59,947 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 03:25:59,947 INFO hook.py line 689 2389709] mat : 0.3040 0.3466 [2025-03-11 03:25:59,947 INFO hook.py line 689 2389709] windowsill : 0.1798 0.1921 [2025-03-11 03:25:59,947 INFO hook.py line 689 2389709] bar : 0.0874 0.1829 [2025-03-11 03:25:59,947 INFO hook.py line 689 2389709] toaster : 0.4477 0.5229 [2025-03-11 03:25:59,947 INFO hook.py line 689 2389709] bulletin board : 0.1199 0.1548 [2025-03-11 03:25:59,947 INFO hook.py line 689 2389709] ironing board : 0.0101 0.0105 [2025-03-11 03:25:59,947 INFO hook.py line 689 2389709] fireplace : 0.4612 0.4906 [2025-03-11 03:25:59,947 INFO hook.py line 689 2389709] soap dish : 0.3459 0.5145 [2025-03-11 03:25:59,947 INFO hook.py line 689 2389709] kitchen counter: 0.5062 0.6187 [2025-03-11 03:25:59,952 INFO hook.py line 689 2389709] doorframe : 0.3499 0.6758 [2025-03-11 03:25:59,952 INFO hook.py line 689 2389709] toilet paper dispenser: 0.5035 0.7225 [2025-03-11 03:25:59,952 INFO hook.py line 689 2389709] mini fridge : 0.3061 0.4406 [2025-03-11 03:25:59,952 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 03:25:59,952 INFO hook.py line 689 2389709] ball : 0.4132 0.6440 [2025-03-11 03:25:59,953 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 03:25:59,953 INFO hook.py line 689 2389709] shower curtain rod: 0.4576 0.8245 [2025-03-11 03:25:59,953 INFO hook.py line 689 2389709] water cooler : 0.4401 0.7467 [2025-03-11 03:25:59,953 INFO hook.py line 689 2389709] paper cutter : 0.2439 0.2782 [2025-03-11 03:25:59,953 INFO hook.py line 689 2389709] tray : 0.0386 0.1186 [2025-03-11 03:25:59,953 INFO hook.py line 689 2389709] shower door : 0.2798 0.3868 [2025-03-11 03:25:59,953 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 03:25:59,953 INFO hook.py line 689 2389709] ledge : 0.0180 0.0191 [2025-03-11 03:25:59,953 INFO hook.py line 689 2389709] toaster oven : 0.0006 0.0007 [2025-03-11 03:25:59,953 INFO hook.py line 689 2389709] mouse : 0.0493 0.4911 [2025-03-11 03:25:59,954 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6377 0.7772 [2025-03-11 03:25:59,954 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 03:25:59,954 INFO hook.py line 689 2389709] cart : 0.2543 0.2612 [2025-03-11 03:25:59,954 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 03:25:59,954 INFO hook.py line 689 2389709] scale : 0.3429 0.9688 [2025-03-11 03:25:59,954 INFO hook.py line 689 2389709] tissue box : 0.1544 0.2860 [2025-03-11 03:25:59,954 INFO hook.py line 689 2389709] light switch : 0.0289 0.0623 [2025-03-11 03:25:59,954 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 03:25:59,954 INFO hook.py line 689 2389709] power outlet : 0.0293 0.0436 [2025-03-11 03:25:59,955 INFO hook.py line 689 2389709] decoration : 0.0000 0.0000 [2025-03-11 03:25:59,955 INFO hook.py line 689 2389709] sign : 0.0960 0.1646 [2025-03-11 03:25:59,955 INFO hook.py line 689 2389709] projector : 0.2809 1.0000 [2025-03-11 03:25:59,955 INFO hook.py line 689 2389709] closet door : 0.1778 0.2001 [2025-03-11 03:25:59,955 INFO hook.py line 689 2389709] vacuum cleaner : 0.5307 0.9877 [2025-03-11 03:25:59,955 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 03:25:59,955 INFO hook.py line 689 2389709] plunger : 0.3337 0.9709 [2025-03-11 03:25:59,955 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 03:25:59,955 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 03:25:59,955 INFO hook.py line 689 2389709] dish rack : 0.4616 0.9400 [2025-03-11 03:25:59,955 INFO hook.py line 689 2389709] broom : 0.0268 0.0581 [2025-03-11 03:25:59,956 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 03:25:59,956 INFO hook.py line 689 2389709] range hood : 0.7501 0.8007 [2025-03-11 03:25:59,956 INFO hook.py line 689 2389709] dustpan : 0.0967 0.4792 [2025-03-11 03:25:59,956 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 03:25:59,956 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 03:25:59,956 INFO hook.py line 689 2389709] handicap bar : 0.0547 0.7529 [2025-03-11 03:25:59,956 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 03:25:59,956 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 03:25:59,956 INFO hook.py line 689 2389709] shower floor : 0.8341 0.9629 [2025-03-11 03:25:59,956 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 03:25:59,956 INFO hook.py line 689 2389709] mailbox : 0.4471 0.4691 [2025-03-11 03:25:59,957 INFO hook.py line 689 2389709] bowl : 0.0461 0.0796 [2025-03-11 03:25:59,957 INFO hook.py line 689 2389709] paper bag : 0.0677 0.1075 [2025-03-11 03:25:59,957 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 03:25:59,957 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 03:25:59,957 INFO hook.py line 689 2389709] projector screen: 0.0006 0.0007 [2025-03-11 03:25:59,957 INFO hook.py line 689 2389709] divider : 0.3863 0.4813 [2025-03-11 03:25:59,957 INFO hook.py line 689 2389709] laundry detergent: 0.0005 0.0005 [2025-03-11 03:25:59,957 INFO hook.py line 689 2389709] bathroom counter: 0.2456 0.4677 [2025-03-11 03:25:59,957 INFO hook.py line 689 2389709] object : 0.0433 0.1053 [2025-03-11 03:25:59,957 INFO hook.py line 689 2389709] bathroom vanity: 0.4135 0.7731 [2025-03-11 03:25:59,957 INFO hook.py line 689 2389709] closet wall : 0.0636 0.1117 [2025-03-11 03:25:59,958 INFO hook.py line 689 2389709] laundry hamper : 0.0550 0.0987 [2025-03-11 03:25:59,958 INFO hook.py line 689 2389709] bathroom stall door: 0.4108 0.5034 [2025-03-11 03:25:59,958 INFO hook.py line 689 2389709] ceiling light : 0.1398 0.1927 [2025-03-11 03:25:59,958 INFO hook.py line 689 2389709] trash bin : 0.3754 0.4987 [2025-03-11 03:25:59,958 INFO hook.py line 689 2389709] dumbbell : 0.5016 0.9843 [2025-03-11 03:25:59,958 INFO hook.py line 689 2389709] stair rail : 0.1217 0.1370 [2025-03-11 03:25:59,958 INFO hook.py line 689 2389709] tube : 0.0920 0.1368 [2025-03-11 03:25:59,958 INFO hook.py line 689 2389709] bathroom cabinet: 0.0815 0.1248 [2025-03-11 03:25:59,958 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 03:25:59,958 INFO hook.py line 689 2389709] closet rod : 0.4331 0.8634 [2025-03-11 03:25:59,958 INFO hook.py line 689 2389709] coffee kettle : 0.1115 0.1449 [2025-03-11 03:25:59,959 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 03:25:59,959 INFO hook.py line 689 2389709] shower head : 0.2999 0.3432 [2025-03-11 03:25:59,959 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 03:25:59,959 INFO hook.py line 689 2389709] case of water bottles: 0.0053 0.0053 [2025-03-11 03:25:59,959 INFO hook.py line 689 2389709] coat rack : 0.0222 0.1814 [2025-03-11 03:25:59,959 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 03:25:59,959 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 03:25:59,959 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 03:25:59,960 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 03:25:59,960 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 03:25:59,960 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 03:25:59,960 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 03:25:59,960 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 03:25:59,960 INFO hook.py line 689 2389709] mattress : 0.0199 0.0205 [2025-03-11 03:25:59,960 INFO hook.py line 690 2389709] ######################################## [2025-03-11 03:25:59,960 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2874/0.3959/0.8056. [2025-03-11 03:25:59,961 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 03:25:59,981 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2874 [2025-03-11 03:25:59,981 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2874 [2025-03-11 03:25:59,981 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 03:26:30,248 INFO hook.py line 566 2389709] Train: [41/100][50/300] Data 0.002 (0.003) Batch 0.491 (0.502) Remain 02:30:15 loss: 0.7024 Lr: 3.49226e-03 [2025-03-11 03:26:54,953 INFO hook.py line 566 2389709] Train: [41/100][100/300] Data 0.002 (0.002) Batch 0.517 (0.498) Remain 02:28:35 loss: 0.8192 Lr: 3.47985e-03 [2025-03-11 03:27:19,516 INFO hook.py line 566 2389709] Train: [41/100][150/300] Data 0.002 (0.002) Batch 0.549 (0.496) Remain 02:27:29 loss: 0.9273 Lr: 3.46716e-03 [2025-03-11 03:27:44,511 INFO hook.py line 566 2389709] Train: [41/100][200/300] Data 0.004 (0.002) Batch 0.459 (0.497) Remain 02:27:22 loss: 1.2044 Lr: 3.45444e-03 [2025-03-11 03:28:09,287 INFO hook.py line 566 2389709] Train: [41/100][250/300] Data 0.002 (0.002) Batch 0.460 (0.497) Remain 02:26:53 loss: 0.7963 Lr: 3.44170e-03 [2025-03-11 03:28:33,425 INFO hook.py line 566 2389709] Train: [41/100][300/300] Data 0.001 (0.002) Batch 0.478 (0.494) Remain 02:25:47 loss: 0.6903 Lr: 3.42892e-03 [2025-03-11 03:28:33,425 INFO misc.py line 135 2389709] Train result: loss: 0.7982 [2025-03-11 03:28:33,534 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 03:29:28,751 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3940 [2025-03-11 03:29:28,793 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3533 [2025-03-11 03:29:28,827 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5802 [2025-03-11 03:29:28,885 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5888 [2025-03-11 03:29:28,928 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.1046 [2025-03-11 03:29:28,985 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.3181 [2025-03-11 03:29:29,038 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9134 [2025-03-11 03:29:29,081 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.6748 [2025-03-11 03:29:29,136 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.5089 [2025-03-11 03:29:29,170 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.0217 [2025-03-11 03:29:29,219 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.0673 [2025-03-11 03:29:29,255 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0744 [2025-03-11 03:29:29,313 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.9828 [2025-03-11 03:29:29,363 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.3261 [2025-03-11 03:29:29,401 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2265 [2025-03-11 03:29:29,451 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1193 [2025-03-11 03:29:29,491 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1441 [2025-03-11 03:29:29,529 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.3443 [2025-03-11 03:29:29,574 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4886 [2025-03-11 03:29:29,611 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6372 [2025-03-11 03:29:29,649 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6952 [2025-03-11 03:29:29,690 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6740 [2025-03-11 03:29:29,719 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.6289 [2025-03-11 03:29:29,767 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1183 [2025-03-11 03:29:29,812 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.9934 [2025-03-11 03:29:29,855 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1111 [2025-03-11 03:29:29,918 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8674 [2025-03-11 03:29:29,956 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5727 [2025-03-11 03:29:29,988 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0876 [2025-03-11 03:29:30,058 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.6275 [2025-03-11 03:29:30,116 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6284 [2025-03-11 03:29:30,155 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2541 [2025-03-11 03:29:30,216 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7616 [2025-03-11 03:29:30,258 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.1757 [2025-03-11 03:29:30,300 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1181 [2025-03-11 03:29:30,343 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2593 [2025-03-11 03:29:30,381 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.7867 [2025-03-11 03:29:30,413 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7453 [2025-03-11 03:29:30,485 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.5138 [2025-03-11 03:29:30,533 INFO hook.py line 748 2389709] Test: [40/78] Loss 2.3062 [2025-03-11 03:29:30,583 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3454 [2025-03-11 03:29:30,614 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.6217 [2025-03-11 03:29:30,650 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.5929 [2025-03-11 03:29:30,710 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8917 [2025-03-11 03:29:30,744 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.3527 [2025-03-11 03:29:30,793 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1069 [2025-03-11 03:29:30,831 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9623 [2025-03-11 03:29:30,864 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.3599 [2025-03-11 03:29:30,898 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.1063 [2025-03-11 03:29:30,932 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5559 [2025-03-11 03:29:30,961 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.6201 [2025-03-11 03:29:30,996 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6682 [2025-03-11 03:29:31,021 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2409 [2025-03-11 03:29:31,057 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2431 [2025-03-11 03:29:31,097 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.5087 [2025-03-11 03:29:31,138 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.6728 [2025-03-11 03:29:31,172 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.6779 [2025-03-11 03:29:31,198 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2692 [2025-03-11 03:29:31,237 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8477 [2025-03-11 03:29:31,273 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.3610 [2025-03-11 03:29:31,298 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.0472 [2025-03-11 03:29:31,333 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9928 [2025-03-11 03:29:31,371 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.5080 [2025-03-11 03:29:31,429 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6636 [2025-03-11 03:29:31,457 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3615 [2025-03-11 03:29:31,501 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.0566 [2025-03-11 03:29:31,540 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0320 [2025-03-11 03:29:31,575 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.7739 [2025-03-11 03:29:31,606 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3545 [2025-03-11 03:29:31,668 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.5833 [2025-03-11 03:29:31,712 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.5200 [2025-03-11 03:29:31,767 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6732 [2025-03-11 03:29:31,820 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5725 [2025-03-11 03:29:31,864 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.2177 [2025-03-11 03:29:31,916 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.4033 [2025-03-11 03:29:31,945 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0273 [2025-03-11 03:29:32,004 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7088 [2025-03-11 03:29:32,031 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2322 [2025-03-11 03:29:33,409 INFO hook.py line 674 2389709] ######################################## [2025-03-11 03:29:33,410 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 03:29:33,410 INFO hook.py line 680 2389709] ######################################## [2025-03-11 03:29:33,410 INFO hook.py line 689 2389709] wall : 0.7829 0.9074 [2025-03-11 03:29:33,410 INFO hook.py line 689 2389709] chair : 0.6871 0.7706 [2025-03-11 03:29:33,410 INFO hook.py line 689 2389709] floor : 0.9586 0.9815 [2025-03-11 03:29:33,410 INFO hook.py line 689 2389709] table : 0.6416 0.8208 [2025-03-11 03:29:33,410 INFO hook.py line 689 2389709] door : 0.6627 0.8242 [2025-03-11 03:29:33,410 INFO hook.py line 689 2389709] couch : 0.7146 0.9264 [2025-03-11 03:29:33,411 INFO hook.py line 689 2389709] cabinet : 0.3284 0.5219 [2025-03-11 03:29:33,411 INFO hook.py line 689 2389709] shelf : 0.4173 0.6058 [2025-03-11 03:29:33,411 INFO hook.py line 689 2389709] desk : 0.5769 0.7063 [2025-03-11 03:29:33,411 INFO hook.py line 689 2389709] office chair : 0.2749 0.6213 [2025-03-11 03:29:33,411 INFO hook.py line 689 2389709] bed : 0.7396 0.8119 [2025-03-11 03:29:33,411 INFO hook.py line 689 2389709] pillow : 0.5171 0.6673 [2025-03-11 03:29:33,411 INFO hook.py line 689 2389709] sink : 0.6303 0.6812 [2025-03-11 03:29:33,411 INFO hook.py line 689 2389709] picture : 0.3493 0.5043 [2025-03-11 03:29:33,411 INFO hook.py line 689 2389709] window : 0.5544 0.6882 [2025-03-11 03:29:33,411 INFO hook.py line 689 2389709] toilet : 0.9255 0.9457 [2025-03-11 03:29:33,412 INFO hook.py line 689 2389709] bookshelf : 0.4275 0.5698 [2025-03-11 03:29:33,412 INFO hook.py line 689 2389709] monitor : 0.8353 0.8614 [2025-03-11 03:29:33,412 INFO hook.py line 689 2389709] curtain : 0.6000 0.7851 [2025-03-11 03:29:33,412 INFO hook.py line 689 2389709] book : 0.4518 0.7004 [2025-03-11 03:29:33,412 INFO hook.py line 689 2389709] armchair : 0.1839 0.2013 [2025-03-11 03:29:33,412 INFO hook.py line 689 2389709] coffee table : 0.6535 0.7486 [2025-03-11 03:29:33,412 INFO hook.py line 689 2389709] box : 0.2877 0.4438 [2025-03-11 03:29:33,412 INFO hook.py line 689 2389709] refrigerator : 0.5073 0.8450 [2025-03-11 03:29:33,412 INFO hook.py line 689 2389709] lamp : 0.5986 0.6217 [2025-03-11 03:29:33,413 INFO hook.py line 689 2389709] kitchen cabinet: 0.5973 0.8344 [2025-03-11 03:29:33,413 INFO hook.py line 689 2389709] towel : 0.4554 0.5469 [2025-03-11 03:29:33,413 INFO hook.py line 689 2389709] clothes : 0.1726 0.3862 [2025-03-11 03:29:33,413 INFO hook.py line 689 2389709] tv : 0.8553 0.9055 [2025-03-11 03:29:33,413 INFO hook.py line 689 2389709] nightstand : 0.6368 0.6875 [2025-03-11 03:29:33,413 INFO hook.py line 689 2389709] counter : 0.2019 0.2716 [2025-03-11 03:29:33,413 INFO hook.py line 689 2389709] dresser : 0.3541 0.5530 [2025-03-11 03:29:33,413 INFO hook.py line 689 2389709] stool : 0.5389 0.7926 [2025-03-11 03:29:33,413 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 03:29:33,414 INFO hook.py line 689 2389709] plant : 0.7022 0.8157 [2025-03-11 03:29:33,414 INFO hook.py line 689 2389709] ceiling : 0.9254 0.9775 [2025-03-11 03:29:33,414 INFO hook.py line 689 2389709] bathtub : 0.8527 0.9018 [2025-03-11 03:29:33,414 INFO hook.py line 689 2389709] end table : 0.1179 0.1791 [2025-03-11 03:29:33,414 INFO hook.py line 689 2389709] dining table : 0.0266 0.0318 [2025-03-11 03:29:33,414 INFO hook.py line 689 2389709] keyboard : 0.3557 0.5765 [2025-03-11 03:29:33,414 INFO hook.py line 689 2389709] bag : 0.1284 0.1753 [2025-03-11 03:29:33,414 INFO hook.py line 689 2389709] backpack : 0.5248 0.5944 [2025-03-11 03:29:33,414 INFO hook.py line 689 2389709] toilet paper : 0.4389 0.5209 [2025-03-11 03:29:33,414 INFO hook.py line 689 2389709] printer : 0.3213 0.3451 [2025-03-11 03:29:33,415 INFO hook.py line 689 2389709] tv stand : 0.5186 0.8208 [2025-03-11 03:29:33,415 INFO hook.py line 689 2389709] whiteboard : 0.4578 0.5265 [2025-03-11 03:29:33,415 INFO hook.py line 689 2389709] blanket : 0.0816 0.1236 [2025-03-11 03:29:33,415 INFO hook.py line 689 2389709] shower curtain : 0.5963 0.6708 [2025-03-11 03:29:33,415 INFO hook.py line 689 2389709] trash can : 0.6082 0.8382 [2025-03-11 03:29:33,415 INFO hook.py line 689 2389709] closet : 0.1197 0.2732 [2025-03-11 03:29:33,415 INFO hook.py line 689 2389709] stairs : 0.4818 0.6500 [2025-03-11 03:29:33,415 INFO hook.py line 689 2389709] microwave : 0.4293 0.6457 [2025-03-11 03:29:33,415 INFO hook.py line 689 2389709] stove : 0.5623 0.6933 [2025-03-11 03:29:33,417 INFO hook.py line 689 2389709] shoe : 0.4556 0.6089 [2025-03-11 03:29:33,417 INFO hook.py line 689 2389709] computer tower : 0.5746 0.7231 [2025-03-11 03:29:33,417 INFO hook.py line 689 2389709] bottle : 0.0858 0.1495 [2025-03-11 03:29:33,417 INFO hook.py line 689 2389709] bin : 0.0050 0.0053 [2025-03-11 03:29:33,417 INFO hook.py line 689 2389709] ottoman : 0.2751 0.2923 [2025-03-11 03:29:33,417 INFO hook.py line 689 2389709] bench : 0.3756 0.5647 [2025-03-11 03:29:33,418 INFO hook.py line 689 2389709] board : 0.0914 0.1044 [2025-03-11 03:29:33,418 INFO hook.py line 689 2389709] washing machine: 0.7704 0.8097 [2025-03-11 03:29:33,418 INFO hook.py line 689 2389709] mirror : 0.3125 0.4726 [2025-03-11 03:29:33,418 INFO hook.py line 689 2389709] copier : 0.8365 0.8681 [2025-03-11 03:29:33,418 INFO hook.py line 689 2389709] basket : 0.0026 0.0063 [2025-03-11 03:29:33,418 INFO hook.py line 689 2389709] sofa chair : 0.1725 0.5025 [2025-03-11 03:29:33,418 INFO hook.py line 689 2389709] file cabinet : 0.2747 0.2834 [2025-03-11 03:29:33,418 INFO hook.py line 689 2389709] fan : 0.2644 0.2751 [2025-03-11 03:29:33,418 INFO hook.py line 689 2389709] laptop : 0.4668 0.5946 [2025-03-11 03:29:33,418 INFO hook.py line 689 2389709] shower : 0.2090 0.2326 [2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] paper : 0.0354 0.0486 [2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] person : 0.1490 0.2021 [2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] paper towel dispenser: 0.4770 0.7004 [2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] oven : 0.0273 0.0279 [2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] blinds : 0.0313 0.0325 [2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] plate : 0.0757 0.1538 [2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] blackboard : 0.5771 0.6168 [2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] piano : 0.5707 0.7035 [2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] suitcase : 0.5870 0.7437 [2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] rail : 0.0406 0.0459 [2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] radiator : 0.5990 0.6571 [2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] recycling bin : 0.4261 0.7188 [2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] container : 0.0063 0.0196 [2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] wardrobe : 0.1704 0.3434 [2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] soap dispenser : 0.8192 0.8734 [2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] telephone : 0.2616 0.3013 [2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] bucket : 0.2562 0.6058 [2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] clock : 0.2142 0.2630 [2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] stand : 0.0243 0.5413 [2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] light : 0.0342 0.0404 [2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] laundry basket : 0.0546 0.0897 [2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] pipe : 0.1008 0.1552 [2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] clothes dryer : 0.6290 0.7349 [2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] guitar : 0.6862 0.7204 [2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] seat : 0.0010 0.0012 [2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] column : 0.0273 0.0676 [2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] ladder : 0.5367 0.6013 [2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] bathroom stall : 0.4024 0.4541 [2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] shower wall : 0.5031 0.7101 [2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] cup : 0.2250 0.4273 [2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] jacket : 0.1761 0.2124 [2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] storage bin : 0.0211 0.0649 [2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] coffee maker : 0.5622 0.9938 [2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] dishwasher : 0.1928 0.4937 [2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] paper towel roll: 0.3369 0.4143 [2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] mat : 0.2640 0.2976 [2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] windowsill : 0.1775 0.2031 [2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] bar : 0.1145 0.2057 [2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] toaster : 0.1721 0.3083 [2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] bulletin board : 0.2414 0.6022 [2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] ironing board : 0.0704 0.0839 [2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] fireplace : 0.1586 0.1668 [2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] soap dish : 0.3241 0.5071 [2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] kitchen counter: 0.5294 0.8741 [2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] doorframe : 0.3815 0.6147 [2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3759 0.4663 [2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] mini fridge : 0.1963 0.2124 [2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] ball : 0.5957 0.6248 [2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] shower curtain rod: 0.3183 0.9062 [2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] water cooler : 0.4997 0.9044 [2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] paper cutter : 0.2529 0.3133 [2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] tray : 0.0594 0.1341 [2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] shower door : 0.1834 0.1981 [2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] pillar : 0.0003 0.0003 [2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] ledge : 0.0083 0.0091 [2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] toaster oven : 0.0007 0.0007 [2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] mouse : 0.0334 0.3094 [2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7391 0.8419 [2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] cart : 0.0342 0.0347 [2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] scale : 0.1477 0.9391 [2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] tissue box : 0.0530 0.0731 [2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] light switch : 0.0465 0.3106 [2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] power outlet : 0.2247 0.3066 [2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] decoration : 0.0183 0.0540 [2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] sign : 0.0151 0.0166 [2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] projector : 0.1070 1.0000 [2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] closet door : 0.0745 0.0758 [2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] vacuum cleaner : 0.6907 0.7489 [2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] plunger : 0.4166 0.9937 [2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] dish rack : 0.6202 0.9146 [2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] broom : 0.0661 0.0902 [2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] range hood : 0.6955 0.9036 [2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] dustpan : 0.1206 0.3829 [2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] handicap bar : 0.0308 0.3824 [2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] shower floor : 0.4901 0.5224 [2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] mailbox : 0.3310 0.3428 [2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] bowl : 0.0520 0.0684 [2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] paper bag : 0.0659 0.1271 [2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] divider : 0.4420 0.5780 [2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] laundry detergent: 0.0090 0.0122 [2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] bathroom counter: 0.2173 0.2968 [2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] object : 0.0499 0.0926 [2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] bathroom vanity: 0.4456 0.6288 [2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] closet wall : 0.0359 0.1495 [2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] laundry hamper : 0.0021 0.0024 [2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] bathroom stall door: 0.3318 0.3472 [2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] ceiling light : 0.2377 0.2717 [2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] trash bin : 0.4039 0.5943 [2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] dumbbell : 0.7908 0.9687 [2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] stair rail : 0.0547 0.0587 [2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] tube : 0.0384 0.0446 [2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] bathroom cabinet: 0.3212 0.5727 [2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] closet rod : 0.1478 0.8707 [2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] coffee kettle : 0.0436 0.0501 [2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] shower head : 0.2677 0.3495 [2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] fire alarm : 0.0472 0.5333 [2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] potted plant : 0.0010 0.0095 [2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] mattress : 0.0136 0.0138 [2025-03-11 03:29:33,425 INFO hook.py line 690 2389709] ######################################## [2025-03-11 03:29:33,425 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2764/0.3845/0.8029. [2025-03-11 03:29:33,426 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 03:29:33,444 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2874 [2025-03-11 03:29:33,444 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 03:30:03,983 INFO hook.py line 566 2389709] Train: [42/100][50/300] Data 0.003 (0.002) Batch 0.480 (0.480) Remain 02:21:15 loss: 0.8750 Lr: 3.41611e-03 [2025-03-11 03:30:28,962 INFO hook.py line 566 2389709] Train: [42/100][100/300] Data 0.003 (0.002) Batch 0.507 (0.490) Remain 02:23:47 loss: 0.7321 Lr: 3.40328e-03 [2025-03-11 03:30:54,164 INFO hook.py line 566 2389709] Train: [42/100][150/300] Data 0.002 (0.002) Batch 0.494 (0.495) Remain 02:24:45 loss: 0.7422 Lr: 3.39042e-03 [2025-03-11 03:31:18,781 INFO hook.py line 566 2389709] Train: [42/100][200/300] Data 0.002 (0.002) Batch 0.577 (0.494) Remain 02:24:09 loss: 0.7233 Lr: 3.37753e-03 [2025-03-11 03:31:43,419 INFO hook.py line 566 2389709] Train: [42/100][250/300] Data 0.002 (0.002) Batch 0.481 (0.494) Remain 02:23:39 loss: 1.1398 Lr: 3.36462e-03 [2025-03-11 03:32:07,705 INFO hook.py line 566 2389709] Train: [42/100][300/300] Data 0.002 (0.002) Batch 0.564 (0.493) Remain 02:22:50 loss: 0.9345 Lr: 3.35168e-03 [2025-03-11 03:32:07,706 INFO misc.py line 135 2389709] Train result: loss: 0.7991 [2025-03-11 03:32:07,811 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 03:33:01,414 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5125 [2025-03-11 03:33:01,458 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.0602 [2025-03-11 03:33:01,491 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5108 [2025-03-11 03:33:01,543 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5882 [2025-03-11 03:33:01,579 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8556 [2025-03-11 03:33:01,638 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.9108 [2025-03-11 03:33:01,691 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7972 [2025-03-11 03:33:01,722 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.5115 [2025-03-11 03:33:01,770 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2954 [2025-03-11 03:33:01,807 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.0543 [2025-03-11 03:33:01,854 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1551 [2025-03-11 03:33:01,888 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0982 [2025-03-11 03:33:01,951 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.5171 [2025-03-11 03:33:01,999 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.3374 [2025-03-11 03:33:02,041 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0918 [2025-03-11 03:33:02,088 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.5895 [2025-03-11 03:33:02,126 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4702 [2025-03-11 03:33:02,163 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9140 [2025-03-11 03:33:02,208 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.0367 [2025-03-11 03:33:02,245 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5537 [2025-03-11 03:33:02,283 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7743 [2025-03-11 03:33:02,324 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7089 [2025-03-11 03:33:02,365 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5111 [2025-03-11 03:33:02,413 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.2705 [2025-03-11 03:33:02,458 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.8836 [2025-03-11 03:33:02,511 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.0788 [2025-03-11 03:33:02,565 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.7930 [2025-03-11 03:33:02,601 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5424 [2025-03-11 03:33:02,645 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1683 [2025-03-11 03:33:02,709 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.2232 [2025-03-11 03:33:02,766 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.9167 [2025-03-11 03:33:02,823 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.3124 [2025-03-11 03:33:02,886 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7315 [2025-03-11 03:33:02,931 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.2731 [2025-03-11 03:33:02,974 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1595 [2025-03-11 03:33:03,015 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3319 [2025-03-11 03:33:03,058 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.3835 [2025-03-11 03:33:03,089 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.5710 [2025-03-11 03:33:03,157 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.8739 [2025-03-11 03:33:03,205 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.7642 [2025-03-11 03:33:03,252 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3027 [2025-03-11 03:33:03,286 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5985 [2025-03-11 03:33:03,325 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0209 [2025-03-11 03:33:03,384 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9555 [2025-03-11 03:33:03,423 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.1795 [2025-03-11 03:33:03,473 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0106 [2025-03-11 03:33:03,515 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.6239 [2025-03-11 03:33:03,550 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.3060 [2025-03-11 03:33:03,582 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.6615 [2025-03-11 03:33:03,615 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4347 [2025-03-11 03:33:03,649 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0989 [2025-03-11 03:33:03,685 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.2778 [2025-03-11 03:33:03,717 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2657 [2025-03-11 03:33:03,756 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.9501 [2025-03-11 03:33:03,795 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4759 [2025-03-11 03:33:03,839 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.7560 [2025-03-11 03:33:03,872 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.5129 [2025-03-11 03:33:03,901 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.0650 [2025-03-11 03:33:03,943 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8154 [2025-03-11 03:33:03,983 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4743 [2025-03-11 03:33:04,013 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7019 [2025-03-11 03:33:04,053 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.8474 [2025-03-11 03:33:04,089 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.9381 [2025-03-11 03:33:04,149 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.4165 [2025-03-11 03:33:04,181 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1625 [2025-03-11 03:33:04,226 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.6907 [2025-03-11 03:33:04,265 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8698 [2025-03-11 03:33:04,306 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.7319 [2025-03-11 03:33:04,339 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3798 [2025-03-11 03:33:04,400 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.3002 [2025-03-11 03:33:04,447 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8606 [2025-03-11 03:33:04,505 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.8706 [2025-03-11 03:33:04,562 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6094 [2025-03-11 03:33:04,605 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.5710 [2025-03-11 03:33:04,657 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.3204 [2025-03-11 03:33:04,686 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0766 [2025-03-11 03:33:04,748 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.8077 [2025-03-11 03:33:04,774 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.0620 [2025-03-11 03:33:05,997 INFO hook.py line 674 2389709] ######################################## [2025-03-11 03:33:05,997 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 03:33:05,997 INFO hook.py line 680 2389709] ######################################## [2025-03-11 03:33:05,997 INFO hook.py line 689 2389709] wall : 0.7847 0.9232 [2025-03-11 03:33:05,997 INFO hook.py line 689 2389709] chair : 0.6477 0.7064 [2025-03-11 03:33:05,997 INFO hook.py line 689 2389709] floor : 0.9531 0.9838 [2025-03-11 03:33:05,997 INFO hook.py line 689 2389709] table : 0.6271 0.7693 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] door : 0.6236 0.7639 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] couch : 0.7753 0.8818 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] cabinet : 0.3196 0.5341 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] shelf : 0.4858 0.6496 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] desk : 0.5482 0.7400 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] office chair : 0.2532 0.6629 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] bed : 0.7935 0.8925 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] pillow : 0.5108 0.7300 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] sink : 0.6359 0.7973 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] picture : 0.3660 0.5155 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] window : 0.5383 0.6655 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] toilet : 0.9142 0.9719 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] bookshelf : 0.4981 0.6059 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] monitor : 0.8682 0.9317 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] curtain : 0.6717 0.8524 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] book : 0.4463 0.6381 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] armchair : 0.5287 0.7227 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] coffee table : 0.5356 0.6005 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] box : 0.3069 0.4348 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] refrigerator : 0.5418 0.7933 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] lamp : 0.6363 0.7059 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] kitchen cabinet: 0.6408 0.7978 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] towel : 0.3797 0.6825 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] clothes : 0.1187 0.2218 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] tv : 0.8623 0.9009 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] nightstand : 0.6500 0.8222 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] counter : 0.2151 0.3011 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] dresser : 0.4348 0.6598 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] stool : 0.4315 0.5316 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] plant : 0.7623 0.8535 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] ceiling : 0.9252 0.9654 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] bathtub : 0.8259 0.9198 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] end table : 0.2693 0.3892 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] keyboard : 0.3613 0.5729 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] bag : 0.1367 0.1767 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] backpack : 0.5887 0.6947 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] toilet paper : 0.4301 0.5957 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] printer : 0.4678 0.5874 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] tv stand : 0.6585 0.7832 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] whiteboard : 0.4681 0.5309 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] blanket : 0.0321 0.0430 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] shower curtain : 0.6611 0.8303 [2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] trash can : 0.5835 0.8945 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] closet : 0.1720 0.3203 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] stairs : 0.5652 0.7236 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] microwave : 0.4957 0.7834 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] stove : 0.6327 0.8261 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] shoe : 0.4251 0.6568 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] computer tower : 0.6267 0.7317 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] bottle : 0.1085 0.1835 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] bin : 0.0001 0.0003 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] ottoman : 0.3896 0.4547 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] bench : 0.3925 0.4772 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] board : 0.1491 0.1875 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] washing machine: 0.7500 0.9260 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] mirror : 0.3420 0.5351 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] copier : 0.7392 0.9268 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] sofa chair : 0.1772 0.3280 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] file cabinet : 0.4542 0.6833 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] fan : 0.4016 0.4616 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] laptop : 0.3843 0.4759 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] shower : 0.4193 0.5530 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] paper : 0.0372 0.0472 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] person : 0.1630 0.3344 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] paper towel dispenser: 0.4760 0.8476 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] blackboard : 0.6060 0.6271 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] piano : 0.2738 0.3736 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] suitcase : 0.5876 0.6299 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] rail : 0.0285 0.0319 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] radiator : 0.5383 0.6745 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] recycling bin : 0.3151 0.3277 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] container : 0.0009 0.0012 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] wardrobe : 0.2505 0.2985 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] soap dispenser : 0.6988 0.8946 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] telephone : 0.3311 0.3784 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] bucket : 0.3380 0.6448 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] clock : 0.2039 0.2333 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] stand : 0.0173 0.0462 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] light : 0.0267 0.0568 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] pipe : 0.0921 0.1446 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] clothes dryer : 0.2463 0.2471 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] guitar : 0.4657 0.6828 [2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] seat : 0.0002 0.0003 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] ladder : 0.4410 0.4738 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] bathroom stall : 0.4679 0.5425 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] shower wall : 0.4940 0.5875 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] cup : 0.2012 0.4284 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] jacket : 0.1619 0.1963 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] storage bin : 0.0350 0.0396 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] coffee maker : 0.5337 0.9909 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] dishwasher : 0.4045 0.4644 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] paper towel roll: 0.2510 0.2921 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] mat : 0.2602 0.4144 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] windowsill : 0.1068 0.1110 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] bar : 0.1335 0.2140 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] toaster : 0.2774 0.3321 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] bulletin board : 0.2003 0.3960 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] ironing board : 0.1660 0.2024 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] fireplace : 0.2421 0.2473 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] soap dish : 0.3388 0.4883 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] kitchen counter: 0.5402 0.7790 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] doorframe : 0.3937 0.6424 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4623 0.7586 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] mini fridge : 0.3778 0.5164 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] fire extinguisher: 0.0544 0.1960 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] ball : 0.3649 0.9371 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] shower curtain rod: 0.2782 0.8345 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] water cooler : 0.6060 0.9575 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] paper cutter : 0.2455 0.2833 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] tray : 0.0228 0.0357 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] shower door : 0.0768 0.1530 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] ledge : 0.0400 0.0460 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] toaster oven : 0.0002 0.0002 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] mouse : 0.0662 0.4655 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6172 0.8184 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] cart : 0.0000 0.0000 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] scale : 0.1396 0.9600 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] tissue box : 0.1068 0.1312 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] light switch : 0.0314 0.2500 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] power outlet : 0.1274 0.2164 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] decoration : 0.2191 0.4131 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] projector : 0.2238 0.9592 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] closet door : 0.2063 0.2168 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] vacuum cleaner : 0.6719 0.8832 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] plunger : 0.3849 0.9678 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] headphones : 0.0063 0.0069 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] dish rack : 0.8012 0.8483 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] broom : 0.0389 0.0587 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] range hood : 0.7988 0.8889 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] dustpan : 0.0423 0.1082 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] hair dryer : 0.0012 0.0020 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] handicap bar : 0.0476 0.5860 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] shower floor : 0.0000 0.0000 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] mailbox : 0.4912 0.5137 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] bowl : 0.1267 0.1342 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] paper bag : 0.0370 0.0510 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] divider : 0.3961 0.4141 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] laundry detergent: 0.0068 0.0096 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] bathroom counter: 0.2611 0.4118 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] object : 0.0448 0.0911 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] bathroom vanity: 0.4657 0.6729 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] closet wall : 0.0831 0.1520 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] laundry hamper : 0.0022 0.0033 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] bathroom stall door: 0.5572 0.6630 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] ceiling light : 0.1847 0.2017 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] trash bin : 0.3318 0.4065 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] dumbbell : 0.4430 0.9719 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] stair rail : 0.0812 0.0971 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] tube : 0.0953 0.1641 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] bathroom cabinet: 0.2421 0.3605 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] closet rod : 0.2850 0.6714 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] coffee kettle : 0.1943 0.2069 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] shower head : 0.1682 0.2652 [2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 03:33:06,002 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 03:33:06,002 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 03:33:06,002 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 03:33:06,002 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 03:33:06,002 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 03:33:06,002 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 03:33:06,002 INFO hook.py line 689 2389709] calendar : 0.1127 0.2970 [2025-03-11 03:33:06,002 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 03:33:06,002 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 03:33:06,002 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 03:33:06,002 INFO hook.py line 689 2389709] mattress : 0.0347 0.0362 [2025-03-11 03:33:06,002 INFO hook.py line 690 2389709] ######################################## [2025-03-11 03:33:06,002 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2820/0.3906/0.8100. [2025-03-11 03:33:06,002 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 03:33:06,021 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2874 [2025-03-11 03:33:06,021 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 03:33:35,598 INFO hook.py line 566 2389709] Train: [43/100][50/300] Data 0.004 (0.002) Batch 0.400 (0.489) Remain 02:21:25 loss: 0.9270 Lr: 3.33871e-03 [2025-03-11 03:33:59,952 INFO hook.py line 566 2389709] Train: [43/100][100/300] Data 0.003 (0.002) Batch 0.534 (0.488) Remain 02:20:43 loss: 0.9128 Lr: 3.32572e-03 [2025-03-11 03:34:24,343 INFO hook.py line 566 2389709] Train: [43/100][150/300] Data 0.003 (0.002) Batch 0.515 (0.488) Remain 02:20:17 loss: 0.7400 Lr: 3.31270e-03 [2025-03-11 03:34:48,992 INFO hook.py line 566 2389709] Train: [43/100][200/300] Data 0.003 (0.002) Batch 0.426 (0.489) Remain 02:20:14 loss: 0.7389 Lr: 3.29966e-03 [2025-03-11 03:35:13,804 INFO hook.py line 566 2389709] Train: [43/100][250/300] Data 0.003 (0.002) Batch 0.457 (0.491) Remain 02:20:14 loss: 0.7017 Lr: 3.28659e-03 [2025-03-11 03:35:37,320 INFO hook.py line 566 2389709] Train: [43/100][300/300] Data 0.002 (0.002) Batch 0.457 (0.487) Remain 02:18:51 loss: 0.8060 Lr: 3.27350e-03 [2025-03-11 03:35:37,321 INFO misc.py line 135 2389709] Train result: loss: 0.7774 [2025-03-11 03:35:37,425 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 03:36:28,238 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5849 [2025-03-11 03:36:28,282 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3130 [2025-03-11 03:36:28,329 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6262 [2025-03-11 03:36:28,378 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5825 [2025-03-11 03:36:28,413 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9102 [2025-03-11 03:36:28,471 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.4516 [2025-03-11 03:36:28,523 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8285 [2025-03-11 03:36:28,555 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2626 [2025-03-11 03:36:28,601 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.4406 [2025-03-11 03:36:28,641 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.4459 [2025-03-11 03:36:28,688 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2305 [2025-03-11 03:36:28,725 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0836 [2025-03-11 03:36:28,774 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.0815 [2025-03-11 03:36:28,819 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.3113 [2025-03-11 03:36:28,855 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.9233 [2025-03-11 03:36:28,908 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1220 [2025-03-11 03:36:28,947 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2361 [2025-03-11 03:36:28,987 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1285 [2025-03-11 03:36:29,029 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.1611 [2025-03-11 03:36:29,068 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4297 [2025-03-11 03:36:29,103 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7124 [2025-03-11 03:36:29,144 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6595 [2025-03-11 03:36:29,174 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5276 [2025-03-11 03:36:29,225 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9114 [2025-03-11 03:36:29,283 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.9751 [2025-03-11 03:36:29,330 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5631 [2025-03-11 03:36:29,384 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.7032 [2025-03-11 03:36:29,423 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7327 [2025-03-11 03:36:29,454 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1020 [2025-03-11 03:36:29,514 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.2668 [2025-03-11 03:36:29,582 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5285 [2025-03-11 03:36:29,617 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2848 [2025-03-11 03:36:29,679 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.0387 [2025-03-11 03:36:29,731 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3007 [2025-03-11 03:36:29,771 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2513 [2025-03-11 03:36:29,811 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5445 [2025-03-11 03:36:29,849 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.6707 [2025-03-11 03:36:29,877 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7626 [2025-03-11 03:36:29,946 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.9627 [2025-03-11 03:36:29,996 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3032 [2025-03-11 03:36:30,042 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1234 [2025-03-11 03:36:30,074 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4636 [2025-03-11 03:36:30,112 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.8762 [2025-03-11 03:36:30,174 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0905 [2025-03-11 03:36:30,208 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.1946 [2025-03-11 03:36:30,260 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0689 [2025-03-11 03:36:30,303 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7953 [2025-03-11 03:36:30,340 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0421 [2025-03-11 03:36:30,375 INFO hook.py line 748 2389709] Test: [49/78] Loss 0.8366 [2025-03-11 03:36:30,408 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4901 [2025-03-11 03:36:30,442 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0851 [2025-03-11 03:36:30,478 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.2464 [2025-03-11 03:36:30,509 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3447 [2025-03-11 03:36:30,548 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.1810 [2025-03-11 03:36:30,586 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3566 [2025-03-11 03:36:30,631 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9900 [2025-03-11 03:36:30,664 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.9848 [2025-03-11 03:36:30,692 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.6750 [2025-03-11 03:36:30,734 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9693 [2025-03-11 03:36:30,775 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5762 [2025-03-11 03:36:30,804 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8530 [2025-03-11 03:36:30,843 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9487 [2025-03-11 03:36:30,881 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.9356 [2025-03-11 03:36:30,941 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.4438 [2025-03-11 03:36:30,973 INFO hook.py line 748 2389709] Test: [65/78] Loss 1.9328 [2025-03-11 03:36:31,017 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.5004 [2025-03-11 03:36:31,056 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1830 [2025-03-11 03:36:31,097 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.7907 [2025-03-11 03:36:31,130 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3778 [2025-03-11 03:36:31,191 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7555 [2025-03-11 03:36:31,238 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8689 [2025-03-11 03:36:31,295 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.4358 [2025-03-11 03:36:31,358 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.4837 [2025-03-11 03:36:31,409 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.1876 [2025-03-11 03:36:31,461 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5453 [2025-03-11 03:36:31,489 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9363 [2025-03-11 03:36:31,548 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4630 [2025-03-11 03:36:31,575 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.1425 [2025-03-11 03:36:32,871 INFO hook.py line 674 2389709] ######################################## [2025-03-11 03:36:32,871 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 03:36:32,871 INFO hook.py line 680 2389709] ######################################## [2025-03-11 03:36:32,871 INFO hook.py line 689 2389709] wall : 0.7702 0.9069 [2025-03-11 03:36:32,871 INFO hook.py line 689 2389709] chair : 0.7103 0.8479 [2025-03-11 03:36:32,871 INFO hook.py line 689 2389709] floor : 0.9591 0.9788 [2025-03-11 03:36:32,872 INFO hook.py line 689 2389709] table : 0.6401 0.7724 [2025-03-11 03:36:32,872 INFO hook.py line 689 2389709] door : 0.6140 0.6960 [2025-03-11 03:36:32,872 INFO hook.py line 689 2389709] couch : 0.7921 0.9045 [2025-03-11 03:36:32,872 INFO hook.py line 689 2389709] cabinet : 0.3041 0.4482 [2025-03-11 03:36:32,872 INFO hook.py line 689 2389709] shelf : 0.4103 0.5834 [2025-03-11 03:36:32,872 INFO hook.py line 689 2389709] desk : 0.5499 0.7342 [2025-03-11 03:36:32,872 INFO hook.py line 689 2389709] office chair : 0.1470 0.2279 [2025-03-11 03:36:32,872 INFO hook.py line 689 2389709] bed : 0.7389 0.8001 [2025-03-11 03:36:32,872 INFO hook.py line 689 2389709] pillow : 0.5308 0.7217 [2025-03-11 03:36:32,873 INFO hook.py line 689 2389709] sink : 0.6161 0.7667 [2025-03-11 03:36:32,873 INFO hook.py line 689 2389709] picture : 0.3649 0.5029 [2025-03-11 03:36:32,873 INFO hook.py line 689 2389709] window : 0.5689 0.7985 [2025-03-11 03:36:32,873 INFO hook.py line 689 2389709] toilet : 0.9314 0.9560 [2025-03-11 03:36:32,873 INFO hook.py line 689 2389709] bookshelf : 0.4844 0.6372 [2025-03-11 03:36:32,873 INFO hook.py line 689 2389709] monitor : 0.8025 0.9490 [2025-03-11 03:36:32,873 INFO hook.py line 689 2389709] curtain : 0.6608 0.7922 [2025-03-11 03:36:32,873 INFO hook.py line 689 2389709] book : 0.4049 0.5229 [2025-03-11 03:36:32,873 INFO hook.py line 689 2389709] armchair : 0.5089 0.7306 [2025-03-11 03:36:32,873 INFO hook.py line 689 2389709] coffee table : 0.5885 0.6518 [2025-03-11 03:36:32,874 INFO hook.py line 689 2389709] box : 0.2114 0.2644 [2025-03-11 03:36:32,874 INFO hook.py line 689 2389709] refrigerator : 0.6639 0.7598 [2025-03-11 03:36:32,874 INFO hook.py line 689 2389709] lamp : 0.6695 0.7546 [2025-03-11 03:36:32,874 INFO hook.py line 689 2389709] kitchen cabinet: 0.5832 0.6614 [2025-03-11 03:36:32,874 INFO hook.py line 689 2389709] towel : 0.4259 0.6216 [2025-03-11 03:36:32,874 INFO hook.py line 689 2389709] clothes : 0.1512 0.4016 [2025-03-11 03:36:32,874 INFO hook.py line 689 2389709] tv : 0.8002 0.8629 [2025-03-11 03:36:32,874 INFO hook.py line 689 2389709] nightstand : 0.7030 0.8247 [2025-03-11 03:36:32,874 INFO hook.py line 689 2389709] counter : 0.2308 0.2810 [2025-03-11 03:36:32,874 INFO hook.py line 689 2389709] dresser : 0.4281 0.5207 [2025-03-11 03:36:32,875 INFO hook.py line 689 2389709] stool : 0.4479 0.7158 [2025-03-11 03:36:32,875 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 03:36:32,875 INFO hook.py line 689 2389709] plant : 0.7059 0.8965 [2025-03-11 03:36:32,875 INFO hook.py line 689 2389709] ceiling : 0.9147 0.9432 [2025-03-11 03:36:32,875 INFO hook.py line 689 2389709] bathtub : 0.8392 0.8490 [2025-03-11 03:36:32,876 INFO hook.py line 689 2389709] end table : 0.1583 0.2571 [2025-03-11 03:36:32,876 INFO hook.py line 689 2389709] dining table : 0.0180 0.0192 [2025-03-11 03:36:32,876 INFO hook.py line 689 2389709] keyboard : 0.4185 0.6162 [2025-03-11 03:36:32,876 INFO hook.py line 689 2389709] bag : 0.1774 0.2315 [2025-03-11 03:36:32,876 INFO hook.py line 689 2389709] backpack : 0.6049 0.6695 [2025-03-11 03:36:32,876 INFO hook.py line 689 2389709] toilet paper : 0.4588 0.5449 [2025-03-11 03:36:32,876 INFO hook.py line 689 2389709] printer : 0.4701 0.6189 [2025-03-11 03:36:32,876 INFO hook.py line 689 2389709] tv stand : 0.6730 0.9317 [2025-03-11 03:36:32,876 INFO hook.py line 689 2389709] whiteboard : 0.4041 0.7941 [2025-03-11 03:36:32,876 INFO hook.py line 689 2389709] blanket : 0.0409 0.0708 [2025-03-11 03:36:32,877 INFO hook.py line 689 2389709] shower curtain : 0.5647 0.6735 [2025-03-11 03:36:32,877 INFO hook.py line 689 2389709] trash can : 0.5715 0.8094 [2025-03-11 03:36:32,877 INFO hook.py line 689 2389709] closet : 0.1064 0.2031 [2025-03-11 03:36:32,877 INFO hook.py line 689 2389709] stairs : 0.5669 0.5998 [2025-03-11 03:36:32,877 INFO hook.py line 689 2389709] microwave : 0.6425 0.7134 [2025-03-11 03:36:32,877 INFO hook.py line 689 2389709] stove : 0.5288 0.7164 [2025-03-11 03:36:32,877 INFO hook.py line 689 2389709] shoe : 0.4095 0.7505 [2025-03-11 03:36:32,877 INFO hook.py line 689 2389709] computer tower : 0.4878 0.8673 [2025-03-11 03:36:32,877 INFO hook.py line 689 2389709] bottle : 0.1481 0.2957 [2025-03-11 03:36:32,877 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 03:36:32,878 INFO hook.py line 689 2389709] ottoman : 0.4362 0.5320 [2025-03-11 03:36:32,878 INFO hook.py line 689 2389709] bench : 0.4346 0.5232 [2025-03-11 03:36:32,878 INFO hook.py line 689 2389709] board : 0.1368 0.2693 [2025-03-11 03:36:32,878 INFO hook.py line 689 2389709] washing machine: 0.6506 0.9076 [2025-03-11 03:36:32,878 INFO hook.py line 689 2389709] mirror : 0.3295 0.4374 [2025-03-11 03:36:32,878 INFO hook.py line 689 2389709] copier : 0.8513 0.8981 [2025-03-11 03:36:32,878 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 03:36:32,878 INFO hook.py line 689 2389709] sofa chair : 0.2534 0.4745 [2025-03-11 03:36:32,878 INFO hook.py line 689 2389709] file cabinet : 0.4824 0.5808 [2025-03-11 03:36:32,878 INFO hook.py line 689 2389709] fan : 0.2915 0.3912 [2025-03-11 03:36:32,879 INFO hook.py line 689 2389709] laptop : 0.4267 0.5365 [2025-03-11 03:36:32,879 INFO hook.py line 689 2389709] shower : 0.1703 0.1824 [2025-03-11 03:36:32,879 INFO hook.py line 689 2389709] paper : 0.0726 0.1027 [2025-03-11 03:36:32,879 INFO hook.py line 689 2389709] person : 0.1446 0.5484 [2025-03-11 03:36:32,879 INFO hook.py line 689 2389709] paper towel dispenser: 0.6101 0.8508 [2025-03-11 03:36:32,879 INFO hook.py line 689 2389709] oven : 0.0136 0.0138 [2025-03-11 03:36:32,879 INFO hook.py line 689 2389709] blinds : 0.0008 0.0010 [2025-03-11 03:36:32,879 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 03:36:32,879 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 03:36:32,880 INFO hook.py line 689 2389709] blackboard : 0.5883 0.6971 [2025-03-11 03:36:32,880 INFO hook.py line 689 2389709] piano : 0.3505 0.6747 [2025-03-11 03:36:32,880 INFO hook.py line 689 2389709] suitcase : 0.6994 0.7416 [2025-03-11 03:36:32,880 INFO hook.py line 689 2389709] rail : 0.0120 0.0125 [2025-03-11 03:36:32,880 INFO hook.py line 689 2389709] radiator : 0.5578 0.6498 [2025-03-11 03:36:32,880 INFO hook.py line 689 2389709] recycling bin : 0.4611 0.6341 [2025-03-11 03:36:32,880 INFO hook.py line 689 2389709] container : 0.0521 0.1547 [2025-03-11 03:36:32,880 INFO hook.py line 689 2389709] wardrobe : 0.1709 0.2089 [2025-03-11 03:36:32,880 INFO hook.py line 689 2389709] soap dispenser : 0.6474 0.9016 [2025-03-11 03:36:32,880 INFO hook.py line 689 2389709] telephone : 0.3598 0.5860 [2025-03-11 03:36:32,881 INFO hook.py line 689 2389709] bucket : 0.1721 0.6068 [2025-03-11 03:36:32,881 INFO hook.py line 689 2389709] clock : 0.1816 0.2781 [2025-03-11 03:36:32,881 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 03:36:32,881 INFO hook.py line 689 2389709] light : 0.1132 0.1300 [2025-03-11 03:36:32,881 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 [2025-03-11 03:36:32,881 INFO hook.py line 689 2389709] pipe : 0.0674 0.2663 [2025-03-11 03:36:32,881 INFO hook.py line 689 2389709] clothes dryer : 0.0725 0.0727 [2025-03-11 03:36:32,881 INFO hook.py line 689 2389709] guitar : 0.4741 0.6852 [2025-03-11 03:36:32,881 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 03:36:32,881 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 03:36:32,882 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 03:36:32,882 INFO hook.py line 689 2389709] column : 0.0949 0.1413 [2025-03-11 03:36:32,882 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 03:36:32,882 INFO hook.py line 689 2389709] ladder : 0.4096 0.7038 [2025-03-11 03:36:32,882 INFO hook.py line 689 2389709] bathroom stall : 0.4133 0.4775 [2025-03-11 03:36:32,882 INFO hook.py line 689 2389709] shower wall : 0.3870 0.4440 [2025-03-11 03:36:32,882 INFO hook.py line 689 2389709] cup : 0.1331 0.4054 [2025-03-11 03:36:32,882 INFO hook.py line 689 2389709] jacket : 0.2001 0.2861 [2025-03-11 03:36:32,882 INFO hook.py line 689 2389709] storage bin : 0.0358 0.1049 [2025-03-11 03:36:32,882 INFO hook.py line 689 2389709] coffee maker : 0.4697 0.9927 [2025-03-11 03:36:32,883 INFO hook.py line 689 2389709] dishwasher : 0.2063 0.7856 [2025-03-11 03:36:32,884 INFO hook.py line 689 2389709] paper towel roll: 0.2080 0.2221 [2025-03-11 03:36:32,884 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 03:36:32,884 INFO hook.py line 689 2389709] mat : 0.2817 0.3621 [2025-03-11 03:36:32,884 INFO hook.py line 689 2389709] windowsill : 0.1092 0.1123 [2025-03-11 03:36:32,884 INFO hook.py line 689 2389709] bar : 0.1393 0.1744 [2025-03-11 03:36:32,884 INFO hook.py line 689 2389709] toaster : 0.0034 0.0038 [2025-03-11 03:36:32,884 INFO hook.py line 689 2389709] bulletin board : 0.1330 0.6894 [2025-03-11 03:36:32,884 INFO hook.py line 689 2389709] ironing board : 0.1845 0.2340 [2025-03-11 03:36:32,884 INFO hook.py line 689 2389709] fireplace : 0.6488 0.6748 [2025-03-11 03:36:32,885 INFO hook.py line 689 2389709] soap dish : 0.3659 0.4778 [2025-03-11 03:36:32,885 INFO hook.py line 689 2389709] kitchen counter: 0.4891 0.6383 [2025-03-11 03:36:32,885 INFO hook.py line 689 2389709] doorframe : 0.4030 0.5696 [2025-03-11 03:36:32,885 INFO hook.py line 689 2389709] toilet paper dispenser: 0.5313 0.6188 [2025-03-11 03:36:32,885 INFO hook.py line 689 2389709] mini fridge : 0.3589 0.3956 [2025-03-11 03:36:32,885 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 03:36:32,885 INFO hook.py line 689 2389709] ball : 0.5934 0.6233 [2025-03-11 03:36:32,885 INFO hook.py line 689 2389709] hat : 0.0008 0.0040 [2025-03-11 03:36:32,885 INFO hook.py line 689 2389709] shower curtain rod: 0.4180 0.6458 [2025-03-11 03:36:32,886 INFO hook.py line 689 2389709] water cooler : 0.2458 0.2733 [2025-03-11 03:36:32,886 INFO hook.py line 689 2389709] paper cutter : 0.1905 0.2741 [2025-03-11 03:36:32,886 INFO hook.py line 689 2389709] tray : 0.0280 0.0531 [2025-03-11 03:36:32,886 INFO hook.py line 689 2389709] shower door : 0.1362 0.1370 [2025-03-11 03:36:32,886 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 03:36:32,886 INFO hook.py line 689 2389709] ledge : 0.0032 0.0032 [2025-03-11 03:36:32,886 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 03:36:32,886 INFO hook.py line 689 2389709] mouse : 0.0564 0.5022 [2025-03-11 03:36:32,886 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.4558 0.6365 [2025-03-11 03:36:32,886 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 03:36:32,887 INFO hook.py line 689 2389709] cart : 0.1540 0.1725 [2025-03-11 03:36:32,887 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 03:36:32,887 INFO hook.py line 689 2389709] scale : 0.1390 0.9647 [2025-03-11 03:36:32,887 INFO hook.py line 689 2389709] tissue box : 0.2012 0.2543 [2025-03-11 03:36:32,887 INFO hook.py line 689 2389709] light switch : 0.0426 0.1595 [2025-03-11 03:36:32,887 INFO hook.py line 689 2389709] crate : 0.0011 0.0012 [2025-03-11 03:36:32,887 INFO hook.py line 689 2389709] power outlet : 0.2150 0.4180 [2025-03-11 03:36:32,887 INFO hook.py line 689 2389709] decoration : 0.2966 0.6540 [2025-03-11 03:36:32,887 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 03:36:32,888 INFO hook.py line 689 2389709] projector : 0.2718 1.0000 [2025-03-11 03:36:32,888 INFO hook.py line 689 2389709] closet door : 0.1829 0.2024 [2025-03-11 03:36:32,888 INFO hook.py line 689 2389709] vacuum cleaner : 0.7602 0.9823 [2025-03-11 03:36:32,888 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 03:36:32,888 INFO hook.py line 689 2389709] plunger : 0.7425 0.8658 [2025-03-11 03:36:32,888 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 03:36:32,888 INFO hook.py line 689 2389709] headphones : 0.0012 0.0034 [2025-03-11 03:36:32,888 INFO hook.py line 689 2389709] dish rack : 0.8513 0.8878 [2025-03-11 03:36:32,888 INFO hook.py line 689 2389709] broom : 0.0182 0.0384 [2025-03-11 03:36:32,888 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 03:36:32,889 INFO hook.py line 689 2389709] range hood : 0.7928 0.8689 [2025-03-11 03:36:32,889 INFO hook.py line 689 2389709] dustpan : 0.0557 0.4149 [2025-03-11 03:36:32,889 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 03:36:32,889 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 03:36:32,889 INFO hook.py line 689 2389709] handicap bar : 0.0711 0.9202 [2025-03-11 03:36:32,889 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 03:36:32,889 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 03:36:32,889 INFO hook.py line 689 2389709] shower floor : 0.0061 0.0061 [2025-03-11 03:36:32,889 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 03:36:32,890 INFO hook.py line 689 2389709] mailbox : 0.3975 0.4957 [2025-03-11 03:36:32,890 INFO hook.py line 689 2389709] bowl : 0.2113 0.4020 [2025-03-11 03:36:32,890 INFO hook.py line 689 2389709] paper bag : 0.0505 0.1410 [2025-03-11 03:36:32,890 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 03:36:32,890 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 03:36:32,890 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 03:36:32,890 INFO hook.py line 689 2389709] divider : 0.3845 0.6548 [2025-03-11 03:36:32,890 INFO hook.py line 689 2389709] laundry detergent: 0.0071 0.0076 [2025-03-11 03:36:32,890 INFO hook.py line 689 2389709] bathroom counter: 0.3257 0.3765 [2025-03-11 03:36:32,890 INFO hook.py line 689 2389709] object : 0.0371 0.0911 [2025-03-11 03:36:32,891 INFO hook.py line 689 2389709] bathroom vanity: 0.5508 0.7523 [2025-03-11 03:36:32,891 INFO hook.py line 689 2389709] closet wall : 0.1711 0.4170 [2025-03-11 03:36:32,891 INFO hook.py line 689 2389709] laundry hamper : 0.1050 0.1381 [2025-03-11 03:36:32,891 INFO hook.py line 689 2389709] bathroom stall door: 0.5333 0.6961 [2025-03-11 03:36:32,891 INFO hook.py line 689 2389709] ceiling light : 0.4528 0.6625 [2025-03-11 03:36:32,891 INFO hook.py line 689 2389709] trash bin : 0.3390 0.4890 [2025-03-11 03:36:32,891 INFO hook.py line 689 2389709] dumbbell : 0.3854 0.9719 [2025-03-11 03:36:32,891 INFO hook.py line 689 2389709] stair rail : 0.1199 0.1465 [2025-03-11 03:36:32,891 INFO hook.py line 689 2389709] tube : 0.1125 0.1380 [2025-03-11 03:36:32,891 INFO hook.py line 689 2389709] bathroom cabinet: 0.5146 0.6704 [2025-03-11 03:36:32,892 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 03:36:32,892 INFO hook.py line 689 2389709] closet rod : 0.3536 0.6041 [2025-03-11 03:36:32,892 INFO hook.py line 689 2389709] coffee kettle : 0.1274 0.1851 [2025-03-11 03:36:32,892 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 03:36:32,892 INFO hook.py line 689 2389709] shower head : 0.1967 0.2576 [2025-03-11 03:36:32,892 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 03:36:32,892 INFO hook.py line 689 2389709] case of water bottles: 0.0001 0.0001 [2025-03-11 03:36:32,892 INFO hook.py line 689 2389709] coat rack : 0.0067 0.0455 [2025-03-11 03:36:32,892 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 03:36:32,892 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 03:36:32,893 INFO hook.py line 689 2389709] fire alarm : 0.0924 0.3778 [2025-03-11 03:36:32,893 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 03:36:32,893 INFO hook.py line 689 2389709] calendar : 0.0690 0.1243 [2025-03-11 03:36:32,893 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 03:36:32,893 INFO hook.py line 689 2389709] potted plant : 0.0098 0.0539 [2025-03-11 03:36:32,893 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 03:36:32,893 INFO hook.py line 689 2389709] mattress : 0.0187 0.0188 [2025-03-11 03:36:32,893 INFO hook.py line 690 2389709] ######################################## [2025-03-11 03:36:32,893 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2866/0.4031/0.8028. [2025-03-11 03:36:32,894 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 03:36:32,914 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2874 [2025-03-11 03:36:32,914 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 03:37:02,926 INFO hook.py line 566 2389709] Train: [44/100][50/300] Data 0.003 (0.003) Batch 0.507 (0.496) Remain 02:21:01 loss: 0.7040 Lr: 3.26039e-03 [2025-03-11 03:37:27,295 INFO hook.py line 566 2389709] Train: [44/100][100/300] Data 0.002 (0.003) Batch 0.483 (0.492) Remain 02:19:18 loss: 0.6684 Lr: 3.24725e-03 [2025-03-11 03:37:52,330 INFO hook.py line 566 2389709] Train: [44/100][150/300] Data 0.002 (0.003) Batch 0.517 (0.495) Remain 02:19:46 loss: 0.8393 Lr: 3.23409e-03 [2025-03-11 03:38:17,192 INFO hook.py line 566 2389709] Train: [44/100][200/300] Data 0.003 (0.002) Batch 0.399 (0.495) Remain 02:19:32 loss: 0.7896 Lr: 3.22091e-03 [2025-03-11 03:38:41,594 INFO hook.py line 566 2389709] Train: [44/100][250/300] Data 0.002 (0.002) Batch 0.506 (0.494) Remain 02:18:42 loss: 0.6971 Lr: 3.20771e-03 [2025-03-11 03:39:05,346 INFO hook.py line 566 2389709] Train: [44/100][300/300] Data 0.002 (0.002) Batch 0.487 (0.491) Remain 02:17:24 loss: 0.7142 Lr: 3.19448e-03 [2025-03-11 03:39:05,347 INFO misc.py line 135 2389709] Train result: loss: 0.7524 [2025-03-11 03:39:05,439 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 03:40:01,141 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4523 [2025-03-11 03:40:01,186 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.1796 [2025-03-11 03:40:01,229 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4731 [2025-03-11 03:40:01,280 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4597 [2025-03-11 03:40:01,317 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0633 [2025-03-11 03:40:01,375 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8107 [2025-03-11 03:40:01,432 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7417 [2025-03-11 03:40:01,470 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.1599 [2025-03-11 03:40:01,518 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2284 [2025-03-11 03:40:01,570 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1257 [2025-03-11 03:40:01,620 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2220 [2025-03-11 03:40:01,659 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1555 [2025-03-11 03:40:01,709 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.2378 [2025-03-11 03:40:01,759 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.3380 [2025-03-11 03:40:01,801 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.5555 [2025-03-11 03:40:01,853 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1486 [2025-03-11 03:40:01,892 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2175 [2025-03-11 03:40:01,930 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8364 [2025-03-11 03:40:01,985 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.7572 [2025-03-11 03:40:02,021 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4212 [2025-03-11 03:40:02,059 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6563 [2025-03-11 03:40:02,101 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6200 [2025-03-11 03:40:02,134 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3378 [2025-03-11 03:40:02,187 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.8432 [2025-03-11 03:40:02,229 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7768 [2025-03-11 03:40:02,290 INFO hook.py line 748 2389709] Test: [26/78] Loss 1.7214 [2025-03-11 03:40:02,347 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6130 [2025-03-11 03:40:02,399 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8375 [2025-03-11 03:40:02,439 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.8634 [2025-03-11 03:40:02,493 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.7315 [2025-03-11 03:40:02,556 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.7420 [2025-03-11 03:40:02,604 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0700 [2025-03-11 03:40:02,664 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.1782 [2025-03-11 03:40:02,708 INFO hook.py line 748 2389709] Test: [34/78] Loss 3.3832 [2025-03-11 03:40:02,752 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2011 [2025-03-11 03:40:02,795 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.1363 [2025-03-11 03:40:02,840 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.0601 [2025-03-11 03:40:02,870 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8759 [2025-03-11 03:40:02,941 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.6212 [2025-03-11 03:40:02,990 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.8489 [2025-03-11 03:40:03,038 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3060 [2025-03-11 03:40:03,072 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5156 [2025-03-11 03:40:03,108 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2892 [2025-03-11 03:40:03,168 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9480 [2025-03-11 03:40:03,204 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.3742 [2025-03-11 03:40:03,252 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.8498 [2025-03-11 03:40:03,294 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.5611 [2025-03-11 03:40:03,332 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1377 [2025-03-11 03:40:03,365 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4770 [2025-03-11 03:40:03,400 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5834 [2025-03-11 03:40:03,434 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9784 [2025-03-11 03:40:03,470 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.2130 [2025-03-11 03:40:03,502 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2824 [2025-03-11 03:40:03,537 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.6671 [2025-03-11 03:40:03,577 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.1186 [2025-03-11 03:40:03,617 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9227 [2025-03-11 03:40:03,651 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.7666 [2025-03-11 03:40:03,676 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9583 [2025-03-11 03:40:03,717 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8151 [2025-03-11 03:40:03,759 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6757 [2025-03-11 03:40:03,788 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9726 [2025-03-11 03:40:03,828 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0171 [2025-03-11 03:40:03,865 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.4095 [2025-03-11 03:40:03,924 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.5022 [2025-03-11 03:40:03,956 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3007 [2025-03-11 03:40:04,000 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7513 [2025-03-11 03:40:04,040 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0355 [2025-03-11 03:40:04,081 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0366 [2025-03-11 03:40:04,114 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3454 [2025-03-11 03:40:04,176 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.3691 [2025-03-11 03:40:04,220 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5961 [2025-03-11 03:40:04,277 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.3967 [2025-03-11 03:40:04,335 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6506 [2025-03-11 03:40:04,380 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.5987 [2025-03-11 03:40:04,431 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5392 [2025-03-11 03:40:04,459 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7908 [2025-03-11 03:40:04,521 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5324 [2025-03-11 03:40:04,548 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8771 [2025-03-11 03:40:05,782 INFO hook.py line 674 2389709] ######################################## [2025-03-11 03:40:05,782 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 03:40:05,782 INFO hook.py line 680 2389709] ######################################## [2025-03-11 03:40:05,782 INFO hook.py line 689 2389709] wall : 0.7939 0.9163 [2025-03-11 03:40:05,782 INFO hook.py line 689 2389709] chair : 0.7242 0.8742 [2025-03-11 03:40:05,783 INFO hook.py line 689 2389709] floor : 0.9544 0.9832 [2025-03-11 03:40:05,783 INFO hook.py line 689 2389709] table : 0.6287 0.7425 [2025-03-11 03:40:05,783 INFO hook.py line 689 2389709] door : 0.6298 0.8501 [2025-03-11 03:40:05,783 INFO hook.py line 689 2389709] couch : 0.7605 0.9142 [2025-03-11 03:40:05,783 INFO hook.py line 689 2389709] cabinet : 0.3090 0.5953 [2025-03-11 03:40:05,783 INFO hook.py line 689 2389709] shelf : 0.3652 0.4596 [2025-03-11 03:40:05,783 INFO hook.py line 689 2389709] desk : 0.5388 0.8380 [2025-03-11 03:40:05,783 INFO hook.py line 689 2389709] office chair : 0.1201 0.1496 [2025-03-11 03:40:05,783 INFO hook.py line 689 2389709] bed : 0.7520 0.8336 [2025-03-11 03:40:05,783 INFO hook.py line 689 2389709] pillow : 0.4981 0.6908 [2025-03-11 03:40:05,783 INFO hook.py line 689 2389709] sink : 0.6696 0.7787 [2025-03-11 03:40:05,784 INFO hook.py line 689 2389709] picture : 0.3753 0.4869 [2025-03-11 03:40:05,784 INFO hook.py line 689 2389709] window : 0.5386 0.6385 [2025-03-11 03:40:05,784 INFO hook.py line 689 2389709] toilet : 0.9157 0.9660 [2025-03-11 03:40:05,784 INFO hook.py line 689 2389709] bookshelf : 0.4737 0.6258 [2025-03-11 03:40:05,784 INFO hook.py line 689 2389709] monitor : 0.7979 0.9124 [2025-03-11 03:40:05,784 INFO hook.py line 689 2389709] curtain : 0.6191 0.8739 [2025-03-11 03:40:05,784 INFO hook.py line 689 2389709] book : 0.4237 0.7387 [2025-03-11 03:40:05,784 INFO hook.py line 689 2389709] armchair : 0.4472 0.6086 [2025-03-11 03:40:05,784 INFO hook.py line 689 2389709] coffee table : 0.6618 0.7861 [2025-03-11 03:40:05,784 INFO hook.py line 689 2389709] box : 0.2862 0.4131 [2025-03-11 03:40:05,784 INFO hook.py line 689 2389709] refrigerator : 0.5734 0.6692 [2025-03-11 03:40:05,784 INFO hook.py line 689 2389709] lamp : 0.6600 0.8458 [2025-03-11 03:40:05,785 INFO hook.py line 689 2389709] kitchen cabinet: 0.6651 0.7363 [2025-03-11 03:40:05,785 INFO hook.py line 689 2389709] towel : 0.4447 0.5848 [2025-03-11 03:40:05,785 INFO hook.py line 689 2389709] clothes : 0.2205 0.4291 [2025-03-11 03:40:05,785 INFO hook.py line 689 2389709] tv : 0.8382 0.9199 [2025-03-11 03:40:05,785 INFO hook.py line 689 2389709] nightstand : 0.6411 0.8392 [2025-03-11 03:40:05,785 INFO hook.py line 689 2389709] counter : 0.1447 0.2209 [2025-03-11 03:40:05,785 INFO hook.py line 689 2389709] dresser : 0.3060 0.4001 [2025-03-11 03:40:05,785 INFO hook.py line 689 2389709] stool : 0.4469 0.6233 [2025-03-11 03:40:05,785 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 03:40:05,785 INFO hook.py line 689 2389709] plant : 0.7630 0.8033 [2025-03-11 03:40:05,785 INFO hook.py line 689 2389709] ceiling : 0.9207 0.9643 [2025-03-11 03:40:05,786 INFO hook.py line 689 2389709] bathtub : 0.8706 0.9476 [2025-03-11 03:40:05,786 INFO hook.py line 689 2389709] end table : 0.1274 0.1981 [2025-03-11 03:40:05,786 INFO hook.py line 689 2389709] dining table : 0.0497 0.0598 [2025-03-11 03:40:05,786 INFO hook.py line 689 2389709] keyboard : 0.4195 0.5354 [2025-03-11 03:40:05,786 INFO hook.py line 689 2389709] bag : 0.0856 0.1008 [2025-03-11 03:40:05,786 INFO hook.py line 689 2389709] backpack : 0.5612 0.7306 [2025-03-11 03:40:05,786 INFO hook.py line 689 2389709] toilet paper : 0.3956 0.4586 [2025-03-11 03:40:05,786 INFO hook.py line 689 2389709] printer : 0.4593 0.5331 [2025-03-11 03:40:05,786 INFO hook.py line 689 2389709] tv stand : 0.3616 0.3963 [2025-03-11 03:40:05,786 INFO hook.py line 689 2389709] whiteboard : 0.5051 0.6783 [2025-03-11 03:40:05,786 INFO hook.py line 689 2389709] blanket : 0.0000 0.0000 [2025-03-11 03:40:05,787 INFO hook.py line 689 2389709] shower curtain : 0.6103 0.7820 [2025-03-11 03:40:05,787 INFO hook.py line 689 2389709] trash can : 0.6487 0.7786 [2025-03-11 03:40:05,787 INFO hook.py line 689 2389709] closet : 0.0936 0.1146 [2025-03-11 03:40:05,787 INFO hook.py line 689 2389709] stairs : 0.5649 0.6354 [2025-03-11 03:40:05,787 INFO hook.py line 689 2389709] microwave : 0.5005 0.5543 [2025-03-11 03:40:05,787 INFO hook.py line 689 2389709] stove : 0.6144 0.8298 [2025-03-11 03:40:05,787 INFO hook.py line 689 2389709] shoe : 0.4685 0.5961 [2025-03-11 03:40:05,787 INFO hook.py line 689 2389709] computer tower : 0.4923 0.7814 [2025-03-11 03:40:05,787 INFO hook.py line 689 2389709] bottle : 0.1342 0.2328 [2025-03-11 03:40:05,787 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 03:40:05,787 INFO hook.py line 689 2389709] ottoman : 0.1748 0.1858 [2025-03-11 03:40:05,790 INFO hook.py line 689 2389709] bench : 0.3559 0.4675 [2025-03-11 03:40:05,790 INFO hook.py line 689 2389709] board : 0.1475 0.2025 [2025-03-11 03:40:05,790 INFO hook.py line 689 2389709] washing machine: 0.8405 0.8707 [2025-03-11 03:40:05,790 INFO hook.py line 689 2389709] mirror : 0.3711 0.4271 [2025-03-11 03:40:05,790 INFO hook.py line 689 2389709] copier : 0.8158 0.9138 [2025-03-11 03:40:05,790 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 03:40:05,790 INFO hook.py line 689 2389709] sofa chair : 0.2005 0.4765 [2025-03-11 03:40:05,790 INFO hook.py line 689 2389709] file cabinet : 0.4297 0.5339 [2025-03-11 03:40:05,791 INFO hook.py line 689 2389709] fan : 0.3368 0.3674 [2025-03-11 03:40:05,791 INFO hook.py line 689 2389709] laptop : 0.3778 0.5569 [2025-03-11 03:40:05,791 INFO hook.py line 689 2389709] shower : 0.2555 0.3536 [2025-03-11 03:40:05,791 INFO hook.py line 689 2389709] paper : 0.1059 0.1650 [2025-03-11 03:40:05,791 INFO hook.py line 689 2389709] person : 0.3091 0.4236 [2025-03-11 03:40:05,791 INFO hook.py line 689 2389709] paper towel dispenser: 0.5740 0.7232 [2025-03-11 03:40:05,791 INFO hook.py line 689 2389709] oven : 0.0056 0.0061 [2025-03-11 03:40:05,791 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 03:40:05,791 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 03:40:05,791 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 03:40:05,792 INFO hook.py line 689 2389709] blackboard : 0.5954 0.7086 [2025-03-11 03:40:05,792 INFO hook.py line 689 2389709] piano : 0.3804 0.4642 [2025-03-11 03:40:05,792 INFO hook.py line 689 2389709] suitcase : 0.4708 0.4947 [2025-03-11 03:40:05,792 INFO hook.py line 689 2389709] rail : 0.0527 0.0592 [2025-03-11 03:40:05,792 INFO hook.py line 689 2389709] radiator : 0.5600 0.7124 [2025-03-11 03:40:05,792 INFO hook.py line 689 2389709] recycling bin : 0.5170 0.6258 [2025-03-11 03:40:05,792 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 03:40:05,792 INFO hook.py line 689 2389709] wardrobe : 0.1966 0.2817 [2025-03-11 03:40:05,792 INFO hook.py line 689 2389709] soap dispenser : 0.8341 0.8806 [2025-03-11 03:40:05,792 INFO hook.py line 689 2389709] telephone : 0.2590 0.2870 [2025-03-11 03:40:05,793 INFO hook.py line 689 2389709] bucket : 0.2011 0.2234 [2025-03-11 03:40:05,793 INFO hook.py line 689 2389709] clock : 0.2377 0.2747 [2025-03-11 03:40:05,793 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 03:40:05,793 INFO hook.py line 689 2389709] light : 0.0008 0.0009 [2025-03-11 03:40:05,793 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 [2025-03-11 03:40:05,793 INFO hook.py line 689 2389709] pipe : 0.1304 0.1930 [2025-03-11 03:40:05,793 INFO hook.py line 689 2389709] clothes dryer : 0.6042 0.6357 [2025-03-11 03:40:05,793 INFO hook.py line 689 2389709] guitar : 0.6208 0.8221 [2025-03-11 03:40:05,793 INFO hook.py line 689 2389709] toilet paper holder: 0.0394 0.0576 [2025-03-11 03:40:05,793 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 03:40:05,793 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 03:40:05,794 INFO hook.py line 689 2389709] column : 0.0891 0.1442 [2025-03-11 03:40:05,794 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 03:40:05,794 INFO hook.py line 689 2389709] ladder : 0.6010 0.7472 [2025-03-11 03:40:05,794 INFO hook.py line 689 2389709] bathroom stall : 0.3429 0.3905 [2025-03-11 03:40:05,794 INFO hook.py line 689 2389709] shower wall : 0.4716 0.6578 [2025-03-11 03:40:05,794 INFO hook.py line 689 2389709] cup : 0.2035 0.3377 [2025-03-11 03:40:05,794 INFO hook.py line 689 2389709] jacket : 0.1644 0.2303 [2025-03-11 03:40:05,794 INFO hook.py line 689 2389709] storage bin : 0.0137 0.0139 [2025-03-11 03:40:05,794 INFO hook.py line 689 2389709] coffee maker : 0.8160 0.9858 [2025-03-11 03:40:05,794 INFO hook.py line 689 2389709] dishwasher : 0.2449 0.3030 [2025-03-11 03:40:05,794 INFO hook.py line 689 2389709] paper towel roll: 0.2803 0.3010 [2025-03-11 03:40:05,795 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 03:40:05,795 INFO hook.py line 689 2389709] mat : 0.1304 0.1522 [2025-03-11 03:40:05,795 INFO hook.py line 689 2389709] windowsill : 0.1721 0.2042 [2025-03-11 03:40:05,795 INFO hook.py line 689 2389709] bar : 0.1141 0.1766 [2025-03-11 03:40:05,795 INFO hook.py line 689 2389709] toaster : 0.1163 0.1488 [2025-03-11 03:40:05,795 INFO hook.py line 689 2389709] bulletin board : 0.1694 0.2692 [2025-03-11 03:40:05,795 INFO hook.py line 689 2389709] ironing board : 0.2308 0.2701 [2025-03-11 03:40:05,795 INFO hook.py line 689 2389709] fireplace : 0.2470 0.2566 [2025-03-11 03:40:05,795 INFO hook.py line 689 2389709] soap dish : 0.3317 0.5369 [2025-03-11 03:40:05,795 INFO hook.py line 689 2389709] kitchen counter: 0.4983 0.6699 [2025-03-11 03:40:05,795 INFO hook.py line 689 2389709] doorframe : 0.3904 0.5770 [2025-03-11 03:40:05,797 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3503 0.4037 [2025-03-11 03:40:05,797 INFO hook.py line 689 2389709] mini fridge : 0.3170 0.4011 [2025-03-11 03:40:05,797 INFO hook.py line 689 2389709] fire extinguisher: 0.1458 0.1818 [2025-03-11 03:40:05,797 INFO hook.py line 689 2389709] ball : 0.4276 0.6283 [2025-03-11 03:40:05,797 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 03:40:05,797 INFO hook.py line 689 2389709] shower curtain rod: 0.2750 0.8923 [2025-03-11 03:40:05,798 INFO hook.py line 689 2389709] water cooler : 0.7642 0.8253 [2025-03-11 03:40:05,798 INFO hook.py line 689 2389709] paper cutter : 0.2751 0.3098 [2025-03-11 03:40:05,798 INFO hook.py line 689 2389709] tray : 0.0541 0.0620 [2025-03-11 03:40:05,798 INFO hook.py line 689 2389709] shower door : 0.0699 0.0846 [2025-03-11 03:40:05,798 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 03:40:05,798 INFO hook.py line 689 2389709] ledge : 0.0329 0.0455 [2025-03-11 03:40:05,798 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 03:40:05,798 INFO hook.py line 689 2389709] mouse : 0.0372 0.3853 [2025-03-11 03:40:05,798 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5811 0.7237 [2025-03-11 03:40:05,799 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 03:40:05,799 INFO hook.py line 689 2389709] cart : 0.0582 0.0584 [2025-03-11 03:40:05,799 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 03:40:05,799 INFO hook.py line 689 2389709] scale : 0.2530 0.9218 [2025-03-11 03:40:05,799 INFO hook.py line 689 2389709] tissue box : 0.2159 0.2534 [2025-03-11 03:40:05,799 INFO hook.py line 689 2389709] light switch : 0.0324 0.2280 [2025-03-11 03:40:05,799 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 03:40:05,799 INFO hook.py line 689 2389709] power outlet : 0.1137 0.3004 [2025-03-11 03:40:05,800 INFO hook.py line 689 2389709] decoration : 0.1604 0.4419 [2025-03-11 03:40:05,800 INFO hook.py line 689 2389709] sign : 0.0382 0.1333 [2025-03-11 03:40:05,800 INFO hook.py line 689 2389709] projector : 0.1911 0.5888 [2025-03-11 03:40:05,800 INFO hook.py line 689 2389709] closet door : 0.1105 0.1223 [2025-03-11 03:40:05,800 INFO hook.py line 689 2389709] vacuum cleaner : 0.8134 0.8311 [2025-03-11 03:40:05,800 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 03:40:05,800 INFO hook.py line 689 2389709] plunger : 0.5050 0.9903 [2025-03-11 03:40:05,800 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 03:40:05,801 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 03:40:05,801 INFO hook.py line 689 2389709] dish rack : 0.7575 0.7640 [2025-03-11 03:40:05,801 INFO hook.py line 689 2389709] broom : 0.0790 0.1338 [2025-03-11 03:40:05,801 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 03:40:05,801 INFO hook.py line 689 2389709] range hood : 0.6407 0.8630 [2025-03-11 03:40:05,801 INFO hook.py line 689 2389709] dustpan : 0.0278 0.0314 [2025-03-11 03:40:05,801 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 03:40:05,801 INFO hook.py line 689 2389709] water bottle : 0.0015 0.0059 [2025-03-11 03:40:05,801 INFO hook.py line 689 2389709] handicap bar : 0.0077 0.0951 [2025-03-11 03:40:05,801 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 03:40:05,802 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 03:40:05,802 INFO hook.py line 689 2389709] shower floor : 0.1647 0.9972 [2025-03-11 03:40:05,802 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 03:40:05,802 INFO hook.py line 689 2389709] mailbox : 0.1375 0.1376 [2025-03-11 03:40:05,802 INFO hook.py line 689 2389709] bowl : 0.0384 0.0418 [2025-03-11 03:40:05,802 INFO hook.py line 689 2389709] paper bag : 0.0294 0.0684 [2025-03-11 03:40:05,802 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 03:40:05,802 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 03:40:05,802 INFO hook.py line 689 2389709] projector screen: 0.0076 0.0105 [2025-03-11 03:40:05,802 INFO hook.py line 689 2389709] divider : 0.4596 0.5663 [2025-03-11 03:40:05,802 INFO hook.py line 689 2389709] laundry detergent: 0.0020 0.0020 [2025-03-11 03:40:05,803 INFO hook.py line 689 2389709] bathroom counter: 0.2943 0.3514 [2025-03-11 03:40:05,803 INFO hook.py line 689 2389709] object : 0.0507 0.1162 [2025-03-11 03:40:05,803 INFO hook.py line 689 2389709] bathroom vanity: 0.4821 0.8412 [2025-03-11 03:40:05,803 INFO hook.py line 689 2389709] closet wall : 0.0936 0.1253 [2025-03-11 03:40:05,803 INFO hook.py line 689 2389709] laundry hamper : 0.0696 0.0918 [2025-03-11 03:40:05,803 INFO hook.py line 689 2389709] bathroom stall door: 0.4922 0.5440 [2025-03-11 03:40:05,803 INFO hook.py line 689 2389709] ceiling light : 0.2059 0.2332 [2025-03-11 03:40:05,803 INFO hook.py line 689 2389709] trash bin : 0.2749 0.3306 [2025-03-11 03:40:05,803 INFO hook.py line 689 2389709] dumbbell : 0.3403 0.9780 [2025-03-11 03:40:05,803 INFO hook.py line 689 2389709] stair rail : 0.0249 0.0255 [2025-03-11 03:40:05,803 INFO hook.py line 689 2389709] tube : 0.0714 0.2293 [2025-03-11 03:40:05,803 INFO hook.py line 689 2389709] bathroom cabinet: 0.2772 0.4094 [2025-03-11 03:40:05,804 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 03:40:05,804 INFO hook.py line 689 2389709] closet rod : 0.4397 0.8231 [2025-03-11 03:40:05,804 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 03:40:05,804 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 03:40:05,804 INFO hook.py line 689 2389709] shower head : 0.2145 0.3731 [2025-03-11 03:40:05,804 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 03:40:05,804 INFO hook.py line 689 2389709] case of water bottles: 0.0061 0.0061 [2025-03-11 03:40:05,804 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 03:40:05,804 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 03:40:05,804 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 03:40:05,804 INFO hook.py line 689 2389709] fire alarm : 0.0439 0.8636 [2025-03-11 03:40:05,805 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 03:40:05,805 INFO hook.py line 689 2389709] calendar : 0.1732 0.2951 [2025-03-11 03:40:05,805 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 03:40:05,805 INFO hook.py line 689 2389709] potted plant : 0.2470 0.2756 [2025-03-11 03:40:05,805 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 03:40:05,805 INFO hook.py line 689 2389709] mattress : 0.0061 0.0062 [2025-03-11 03:40:05,805 INFO hook.py line 690 2389709] ######################################## [2025-03-11 03:40:05,805 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2824/0.3794/0.8092. [2025-03-11 03:40:05,806 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 03:40:05,827 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2874 [2025-03-11 03:40:05,828 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 03:40:35,475 INFO hook.py line 566 2389709] Train: [45/100][50/300] Data 0.002 (0.003) Batch 0.480 (0.491) Remain 02:17:12 loss: 1.0728 Lr: 3.18124e-03 [2025-03-11 03:41:00,512 INFO hook.py line 566 2389709] Train: [45/100][100/300] Data 0.003 (0.002) Batch 0.532 (0.496) Remain 02:18:07 loss: 0.8781 Lr: 3.16797e-03 [2025-03-11 03:41:25,299 INFO hook.py line 566 2389709] Train: [45/100][150/300] Data 0.003 (0.002) Batch 0.419 (0.496) Remain 02:17:39 loss: 0.5400 Lr: 3.15468e-03 [2025-03-11 03:41:49,840 INFO hook.py line 566 2389709] Train: [45/100][200/300] Data 0.002 (0.002) Batch 0.441 (0.495) Remain 02:16:52 loss: 0.8408 Lr: 3.14138e-03 [2025-03-11 03:42:14,767 INFO hook.py line 566 2389709] Train: [45/100][250/300] Data 0.002 (0.002) Batch 0.462 (0.496) Remain 02:16:40 loss: 0.8559 Lr: 3.12805e-03 [2025-03-11 03:42:38,792 INFO hook.py line 566 2389709] Train: [45/100][300/300] Data 0.002 (0.002) Batch 0.443 (0.493) Remain 02:15:34 loss: 0.7574 Lr: 3.11470e-03 [2025-03-11 03:42:38,792 INFO misc.py line 135 2389709] Train result: loss: 0.7572 [2025-03-11 03:42:38,890 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 03:43:35,339 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4818 [2025-03-11 03:43:35,393 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.5498 [2025-03-11 03:43:35,435 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6869 [2025-03-11 03:43:35,489 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.8081 [2025-03-11 03:43:35,522 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0832 [2025-03-11 03:43:35,583 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.9060 [2025-03-11 03:43:35,637 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9918 [2025-03-11 03:43:35,673 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4060 [2025-03-11 03:43:35,719 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1977 [2025-03-11 03:43:35,752 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2460 [2025-03-11 03:43:35,802 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2549 [2025-03-11 03:43:35,840 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.8876 [2025-03-11 03:43:35,893 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.7783 [2025-03-11 03:43:35,933 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.0530 [2025-03-11 03:43:35,973 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0967 [2025-03-11 03:43:36,020 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1361 [2025-03-11 03:43:36,058 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4580 [2025-03-11 03:43:36,098 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.7906 [2025-03-11 03:43:36,146 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.7367 [2025-03-11 03:43:36,186 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.8372 [2025-03-11 03:43:36,230 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6451 [2025-03-11 03:43:36,270 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6624 [2025-03-11 03:43:36,305 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5418 [2025-03-11 03:43:36,353 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1196 [2025-03-11 03:43:36,404 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.8261 [2025-03-11 03:43:36,447 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1960 [2025-03-11 03:43:36,501 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8579 [2025-03-11 03:43:36,550 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7503 [2025-03-11 03:43:36,589 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1656 [2025-03-11 03:43:36,648 INFO hook.py line 748 2389709] Test: [30/78] Loss 2.1486 [2025-03-11 03:43:36,710 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6952 [2025-03-11 03:43:36,757 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1986 [2025-03-11 03:43:36,819 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8811 [2025-03-11 03:43:36,862 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.5985 [2025-03-11 03:43:36,906 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.0717 [2025-03-11 03:43:36,950 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3477 [2025-03-11 03:43:36,987 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.1615 [2025-03-11 03:43:37,026 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7652 [2025-03-11 03:43:37,092 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.1430 [2025-03-11 03:43:37,142 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5015 [2025-03-11 03:43:37,189 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3564 [2025-03-11 03:43:37,221 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4071 [2025-03-11 03:43:37,261 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0425 [2025-03-11 03:43:37,324 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8337 [2025-03-11 03:43:37,364 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7282 [2025-03-11 03:43:37,419 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0438 [2025-03-11 03:43:37,461 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8676 [2025-03-11 03:43:37,497 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0863 [2025-03-11 03:43:37,529 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4517 [2025-03-11 03:43:37,562 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.6184 [2025-03-11 03:43:37,596 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3503 [2025-03-11 03:43:37,632 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.4013 [2025-03-11 03:43:37,663 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1166 [2025-03-11 03:43:37,702 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2141 [2025-03-11 03:43:37,740 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.0123 [2025-03-11 03:43:37,784 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9611 [2025-03-11 03:43:37,819 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.4313 [2025-03-11 03:43:37,846 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2355 [2025-03-11 03:43:37,887 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8174 [2025-03-11 03:43:37,928 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.9399 [2025-03-11 03:43:37,958 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8808 [2025-03-11 03:43:37,997 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9619 [2025-03-11 03:43:38,035 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.3935 [2025-03-11 03:43:38,094 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7968 [2025-03-11 03:43:38,125 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1837 [2025-03-11 03:43:38,170 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.4284 [2025-03-11 03:43:38,209 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0840 [2025-03-11 03:43:38,250 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9145 [2025-03-11 03:43:38,283 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.2847 [2025-03-11 03:43:38,344 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7864 [2025-03-11 03:43:38,391 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.0469 [2025-03-11 03:43:38,448 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9386 [2025-03-11 03:43:38,505 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.4666 [2025-03-11 03:43:38,548 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.3430 [2025-03-11 03:43:38,600 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.3683 [2025-03-11 03:43:38,630 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0945 [2025-03-11 03:43:38,692 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7401 [2025-03-11 03:43:38,718 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.5236 [2025-03-11 03:43:39,939 INFO hook.py line 674 2389709] ######################################## [2025-03-11 03:43:39,940 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 03:43:39,940 INFO hook.py line 680 2389709] ######################################## [2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] wall : 0.7628 0.9367 [2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] chair : 0.7256 0.8649 [2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] floor : 0.9587 0.9807 [2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] table : 0.6397 0.7583 [2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] door : 0.6476 0.7538 [2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] couch : 0.7664 0.8841 [2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] cabinet : 0.3596 0.6075 [2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] shelf : 0.4012 0.5631 [2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] desk : 0.5564 0.7337 [2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] office chair : 0.2137 0.3114 [2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] bed : 0.7209 0.8515 [2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] pillow : 0.4454 0.7692 [2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] sink : 0.6542 0.7587 [2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] picture : 0.3480 0.5074 [2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] window : 0.5163 0.5982 [2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] toilet : 0.9304 0.9636 [2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] bookshelf : 0.4768 0.6065 [2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] monitor : 0.8323 0.8656 [2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] curtain : 0.6151 0.6856 [2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] book : 0.4505 0.6781 [2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] armchair : 0.5157 0.6930 [2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] coffee table : 0.5776 0.7707 [2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] box : 0.3094 0.4769 [2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] refrigerator : 0.5997 0.6531 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] lamp : 0.6387 0.7692 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] kitchen cabinet: 0.6363 0.7317 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] towel : 0.4237 0.6212 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] clothes : 0.1895 0.3351 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] tv : 0.8797 0.9377 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] nightstand : 0.6281 0.8381 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] counter : 0.2726 0.3659 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] dresser : 0.2909 0.3727 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] stool : 0.4431 0.6300 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] plant : 0.7977 0.8398 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] ceiling : 0.9250 0.9664 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] bathtub : 0.8702 0.8988 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] end table : 0.1552 0.2370 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] dining table : 0.0969 0.1289 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] keyboard : 0.3701 0.4692 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] bag : 0.1027 0.1467 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] backpack : 0.4752 0.4903 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] toilet paper : 0.4170 0.4834 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] printer : 0.3377 0.4833 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] tv stand : 0.4529 0.6593 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] whiteboard : 0.5207 0.6260 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] blanket : 0.0696 0.1572 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] shower curtain : 0.5757 0.6227 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] trash can : 0.5670 0.6900 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] closet : 0.1079 0.1445 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] stairs : 0.4447 0.6701 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] microwave : 0.4325 0.7091 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] stove : 0.5671 0.8155 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] shoe : 0.3679 0.4167 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] computer tower : 0.5650 0.7632 [2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] bottle : 0.0832 0.1306 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] bin : 0.0509 0.2599 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] ottoman : 0.1939 0.2013 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] bench : 0.3510 0.4178 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] board : 0.1564 0.2956 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] washing machine: 0.8021 0.8709 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] mirror : 0.3324 0.4485 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] copier : 0.8179 0.9226 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] sofa chair : 0.1817 0.3052 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] file cabinet : 0.4746 0.5235 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] fan : 0.3630 0.4272 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] laptop : 0.4928 0.7128 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] shower : 0.3530 0.3815 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] paper : 0.0609 0.1067 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] person : 0.4242 0.5543 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] paper towel dispenser: 0.5246 0.6828 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] oven : 0.0183 0.0186 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] blinds : 0.0003 0.0003 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] blackboard : 0.5789 0.6438 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] piano : 0.2463 0.7354 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] suitcase : 0.5642 0.7035 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] rail : 0.0460 0.0601 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] radiator : 0.5549 0.6738 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] recycling bin : 0.3381 0.6999 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] wardrobe : 0.2151 0.2332 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] soap dispenser : 0.6777 0.9403 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] telephone : 0.1837 0.2100 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] bucket : 0.2988 0.4304 [2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] clock : 0.2121 0.2832 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] light : 0.0057 0.0067 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] pipe : 0.0193 0.0195 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] clothes dryer : 0.3865 0.4025 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] guitar : 0.7287 0.7457 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] toilet paper holder: 0.0473 0.1233 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] column : 0.0002 0.0002 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] ladder : 0.5648 0.5985 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] bathroom stall : 0.3473 0.3746 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] shower wall : 0.4980 0.6197 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] cup : 0.2244 0.3184 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] jacket : 0.2003 0.2078 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] coffee maker : 0.7398 0.7978 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] dishwasher : 0.3005 0.3109 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] paper towel roll: 0.4218 0.4804 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] mat : 0.0921 0.0922 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] windowsill : 0.2309 0.4422 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] bar : 0.1249 0.1719 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] toaster : 0.1669 0.2101 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] bulletin board : 0.2773 0.3246 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] ironing board : 0.0490 0.0551 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] fireplace : 0.5523 0.5889 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] soap dish : 0.3539 0.5292 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] kitchen counter: 0.5647 0.7636 [2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] doorframe : 0.3643 0.4600 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3540 0.4811 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] mini fridge : 0.3057 0.3214 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] fire extinguisher: 0.1050 0.1306 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] ball : 0.5248 0.8928 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] shower curtain rod: 0.3404 0.8599 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] water cooler : 0.5710 0.5731 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] paper cutter : 0.2237 0.2791 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] tray : 0.0009 0.0012 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] shower door : 0.1141 0.1216 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] ledge : 0.0533 0.0739 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] mouse : 0.0871 0.3436 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5270 0.5736 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] cart : 0.1989 0.2820 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] scale : 0.4354 0.9582 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] tissue box : 0.1964 0.2243 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] light switch : 0.0236 0.0862 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] crate : 0.0020 0.0042 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] power outlet : 0.1299 0.2329 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] decoration : 0.1854 0.2203 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] projector : 0.0225 0.0808 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] closet door : 0.2171 0.2346 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] vacuum cleaner : 0.8685 0.8867 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] plunger : 0.5062 0.9103 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] headphones : 0.0059 0.0070 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] dish rack : 0.6607 0.8541 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] broom : 0.0528 0.0836 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] range hood : 0.5296 0.6566 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] dustpan : 0.0939 0.1977 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] handicap bar : 0.0067 0.0977 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] shower floor : 0.9283 0.9762 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] mailbox : 0.3739 0.4001 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] bowl : 0.1529 0.3326 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] paper bag : 0.0750 0.1625 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] projector screen: 0.0120 0.0131 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] divider : 0.3974 0.4878 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] bathroom counter: 0.2245 0.5247 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] object : 0.0423 0.1036 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] bathroom vanity: 0.4723 0.6793 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] closet wall : 0.0823 0.1090 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] laundry hamper : 0.0717 0.0863 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] bathroom stall door: 0.5835 0.6517 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] ceiling light : 0.1940 0.2251 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] trash bin : 0.3267 0.4581 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] dumbbell : 0.4823 0.9781 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] stair rail : 0.1147 0.1297 [2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] tube : 0.0893 0.1029 [2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] bathroom cabinet: 0.4189 0.8909 [2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] closet rod : 0.3110 0.8419 [2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] coffee kettle : 0.0117 0.0161 [2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] shower head : 0.2321 0.3625 [2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] keyboard piano : 0.0010 0.0023 [2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] potted plant : 0.3639 0.4693 [2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 [2025-03-11 03:43:39,946 INFO hook.py line 690 2389709] ######################################## [2025-03-11 03:43:39,946 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2890/0.3774/0.8081. [2025-03-11 03:43:39,946 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 03:43:39,959 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2890 [2025-03-11 03:43:39,959 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2890 [2025-03-11 03:43:39,959 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 03:44:10,316 INFO hook.py line 566 2389709] Train: [46/100][50/300] Data 0.002 (0.002) Batch 0.428 (0.487) Remain 02:13:34 loss: 0.7048 Lr: 3.10134e-03 [2025-03-11 03:44:34,662 INFO hook.py line 566 2389709] Train: [46/100][100/300] Data 0.002 (0.002) Batch 0.528 (0.487) Remain 02:13:07 loss: 0.8099 Lr: 3.08796e-03 [2025-03-11 03:44:59,558 INFO hook.py line 566 2389709] Train: [46/100][150/300] Data 0.002 (0.002) Batch 0.468 (0.491) Remain 02:13:43 loss: 0.6607 Lr: 3.07456e-03 [2025-03-11 03:45:24,058 INFO hook.py line 566 2389709] Train: [46/100][200/300] Data 0.002 (0.002) Batch 0.483 (0.491) Remain 02:13:15 loss: 0.8416 Lr: 3.06114e-03 [2025-03-11 03:45:48,366 INFO hook.py line 566 2389709] Train: [46/100][250/300] Data 0.002 (0.002) Batch 0.479 (0.490) Remain 02:12:37 loss: 0.7008 Lr: 3.04770e-03 [2025-03-11 03:46:12,299 INFO hook.py line 566 2389709] Train: [46/100][300/300] Data 0.002 (0.002) Batch 0.476 (0.488) Remain 02:11:42 loss: 0.5520 Lr: 3.03425e-03 [2025-03-11 03:46:12,300 INFO misc.py line 135 2389709] Train result: loss: 0.7367 [2025-03-11 03:46:12,401 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 03:47:07,307 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5168 [2025-03-11 03:47:07,351 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2246 [2025-03-11 03:47:07,389 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5914 [2025-03-11 03:47:07,438 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5204 [2025-03-11 03:47:07,478 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8803 [2025-03-11 03:47:07,539 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2544 [2025-03-11 03:47:07,594 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9044 [2025-03-11 03:47:07,634 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4961 [2025-03-11 03:47:07,687 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2920 [2025-03-11 03:47:07,727 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.6543 [2025-03-11 03:47:07,776 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.0770 [2025-03-11 03:47:07,820 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.3969 [2025-03-11 03:47:07,869 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.4372 [2025-03-11 03:47:07,907 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.7048 [2025-03-11 03:47:07,943 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.6584 [2025-03-11 03:47:07,992 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1143 [2025-03-11 03:47:08,033 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3653 [2025-03-11 03:47:08,069 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1427 [2025-03-11 03:47:08,111 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.7324 [2025-03-11 03:47:08,144 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.8685 [2025-03-11 03:47:08,182 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6396 [2025-03-11 03:47:08,224 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9277 [2025-03-11 03:47:08,254 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.6558 [2025-03-11 03:47:08,303 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0962 [2025-03-11 03:47:08,345 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.9471 [2025-03-11 03:47:08,390 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.0250 [2025-03-11 03:47:08,449 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8463 [2025-03-11 03:47:08,485 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5301 [2025-03-11 03:47:08,517 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9717 [2025-03-11 03:47:08,578 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.3556 [2025-03-11 03:47:08,639 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.8248 [2025-03-11 03:47:08,675 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0979 [2025-03-11 03:47:08,736 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.2856 [2025-03-11 03:47:08,776 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.9360 [2025-03-11 03:47:08,814 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.6484 [2025-03-11 03:47:08,855 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2958 [2025-03-11 03:47:08,896 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.5534 [2025-03-11 03:47:08,936 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7384 [2025-03-11 03:47:09,002 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.8770 [2025-03-11 03:47:09,049 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4940 [2025-03-11 03:47:09,093 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1161 [2025-03-11 03:47:09,126 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5955 [2025-03-11 03:47:09,166 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3782 [2025-03-11 03:47:09,224 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8126 [2025-03-11 03:47:09,271 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.6665 [2025-03-11 03:47:09,322 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9572 [2025-03-11 03:47:09,362 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.6806 [2025-03-11 03:47:09,397 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.2736 [2025-03-11 03:47:09,429 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.2174 [2025-03-11 03:47:09,462 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.9370 [2025-03-11 03:47:09,494 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.8796 [2025-03-11 03:47:09,528 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7385 [2025-03-11 03:47:09,555 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.7259 [2025-03-11 03:47:09,594 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8761 [2025-03-11 03:47:09,632 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.1522 [2025-03-11 03:47:09,676 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.3110 [2025-03-11 03:47:09,710 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.6987 [2025-03-11 03:47:09,738 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.0670 [2025-03-11 03:47:09,776 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7485 [2025-03-11 03:47:09,813 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6840 [2025-03-11 03:47:09,839 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9132 [2025-03-11 03:47:09,874 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1121 [2025-03-11 03:47:09,911 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.4087 [2025-03-11 03:47:09,971 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7555 [2025-03-11 03:47:10,000 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.7725 [2025-03-11 03:47:10,044 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7701 [2025-03-11 03:47:10,084 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0501 [2025-03-11 03:47:10,119 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.2804 [2025-03-11 03:47:10,150 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4731 [2025-03-11 03:47:10,212 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.8558 [2025-03-11 03:47:10,258 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8096 [2025-03-11 03:47:10,313 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5429 [2025-03-11 03:47:10,366 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7154 [2025-03-11 03:47:10,411 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.5424 [2025-03-11 03:47:10,463 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.4825 [2025-03-11 03:47:10,492 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.6988 [2025-03-11 03:47:10,550 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4957 [2025-03-11 03:47:10,577 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8204 [2025-03-11 03:47:11,909 INFO hook.py line 674 2389709] ######################################## [2025-03-11 03:47:11,910 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 03:47:11,910 INFO hook.py line 680 2389709] ######################################## [2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] wall : 0.7818 0.8862 [2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] chair : 0.7398 0.8939 [2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] floor : 0.9568 0.9825 [2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] table : 0.6481 0.8133 [2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] door : 0.5999 0.7028 [2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] couch : 0.8108 0.9116 [2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] cabinet : 0.3251 0.5960 [2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] shelf : 0.3716 0.5599 [2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] desk : 0.5615 0.7564 [2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] office chair : 0.1096 0.1313 [2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] bed : 0.7521 0.8156 [2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] pillow : 0.5257 0.6696 [2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] sink : 0.6284 0.7356 [2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] picture : 0.3082 0.3799 [2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] window : 0.5337 0.8292 [2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] toilet : 0.9032 0.9608 [2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] bookshelf : 0.4323 0.6212 [2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] monitor : 0.8192 0.9572 [2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] curtain : 0.6587 0.8194 [2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] book : 0.4354 0.8026 [2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] armchair : 0.4784 0.6532 [2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] coffee table : 0.6345 0.7338 [2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] box : 0.3006 0.3782 [2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] refrigerator : 0.6501 0.6687 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] lamp : 0.6394 0.7562 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] kitchen cabinet: 0.6125 0.6694 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] towel : 0.4842 0.5610 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] clothes : 0.1997 0.3308 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] tv : 0.6996 0.9225 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] nightstand : 0.6995 0.8255 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] counter : 0.2353 0.4260 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] dresser : 0.3783 0.4347 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] stool : 0.5563 0.7462 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] plant : 0.8075 0.8927 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] ceiling : 0.9219 0.9643 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] bathtub : 0.8890 0.9217 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] end table : 0.1181 0.1496 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] dining table : 0.0120 0.0142 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] keyboard : 0.4033 0.5372 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] bag : 0.1045 0.1195 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] backpack : 0.5731 0.7542 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] toilet paper : 0.4260 0.4747 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] printer : 0.3445 0.7253 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] tv stand : 0.6703 0.7643 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] whiteboard : 0.4564 0.7001 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] blanket : 0.0595 0.0720 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] shower curtain : 0.5380 0.6125 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] trash can : 0.5798 0.8438 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] closet : 0.0824 0.0999 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] stairs : 0.4712 0.6808 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] microwave : 0.5366 0.6645 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] stove : 0.5798 0.7786 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] shoe : 0.4600 0.6145 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] computer tower : 0.5955 0.8401 [2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] bottle : 0.1683 0.2881 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] ottoman : 0.4400 0.4766 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] bench : 0.4308 0.5360 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] board : 0.1098 0.1524 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] washing machine: 0.8280 0.9361 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] mirror : 0.3064 0.4123 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] copier : 0.7894 0.9376 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] sofa chair : 0.1186 0.1745 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] file cabinet : 0.4934 0.6654 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] fan : 0.2992 0.3690 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] laptop : 0.4328 0.6977 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] shower : 0.1291 0.1429 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] paper : 0.0213 0.0436 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] person : 0.2758 0.5838 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] paper towel dispenser: 0.5528 0.5719 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] oven : 0.0834 0.1151 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] blinds : 0.0119 0.0139 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] blackboard : 0.5823 0.6648 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] piano : 0.5108 0.5424 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] suitcase : 0.5466 0.6504 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] rail : 0.0367 0.0408 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] radiator : 0.5796 0.6515 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] recycling bin : 0.4579 0.6846 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] wardrobe : 0.1248 0.1324 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] soap dispenser : 0.3795 0.5221 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] telephone : 0.2622 0.3910 [2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] bucket : 0.4056 0.5243 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] clock : 0.2773 0.3137 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] light : 0.0021 0.0023 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] pipe : 0.0852 0.1246 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] clothes dryer : 0.5977 0.6283 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] guitar : 0.5446 0.8981 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] ladder : 0.1256 0.1329 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] bathroom stall : 0.4637 0.6004 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] shower wall : 0.5156 0.7865 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] cup : 0.1770 0.4287 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] jacket : 0.1689 0.2197 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] coffee maker : 0.7472 0.8858 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] dishwasher : 0.2849 0.6031 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] paper towel roll: 0.1936 0.2683 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] mat : 0.2861 0.3725 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] windowsill : 0.2122 0.2950 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] bar : 0.1454 0.2197 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] bulletin board : 0.1391 0.1575 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] ironing board : 0.0083 0.0089 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] fireplace : 0.5299 0.5888 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] soap dish : 0.3394 0.4966 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] kitchen counter: 0.4177 0.4952 [2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] doorframe : 0.3946 0.5649 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2731 0.3390 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] mini fridge : 0.1658 0.1770 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] ball : 0.4593 0.6394 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] shower curtain rod: 0.2197 0.8910 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] water cooler : 0.5755 0.6550 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] paper cutter : 0.2298 0.2575 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] tray : 0.0366 0.0484 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] shower door : 0.1274 0.1597 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] pillar : 0.0024 0.0024 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] ledge : 0.0304 0.0489 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] toaster oven : 0.0005 0.0005 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] mouse : 0.0381 0.3767 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.4880 0.5443 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] furniture : 0.0001 0.0003 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] cart : 0.0412 0.0438 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] scale : 0.4517 0.9167 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] tissue box : 0.2481 0.3495 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] light switch : 0.0215 0.3202 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] power outlet : 0.1362 0.2383 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] decoration : 0.0195 0.0305 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] sign : 0.0246 0.0329 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] projector : 0.0818 0.6231 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] closet door : 0.1071 0.1151 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] vacuum cleaner : 0.8930 0.9621 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] plunger : 0.4092 0.9806 [2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] headphones : 0.0066 0.0104 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] dish rack : 0.5285 0.9252 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] broom : 0.0031 0.0035 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] range hood : 0.7606 0.8975 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] dustpan : 0.1369 0.2057 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] handicap bar : 0.0200 0.2799 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] shower floor : 0.3940 0.9030 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] mailbox : 0.3224 0.4119 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] bowl : 0.2528 0.2694 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] paper bag : 0.0524 0.1148 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] projector screen: 0.0030 0.0034 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] divider : 0.4042 0.4568 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] bathroom counter: 0.3734 0.4318 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] object : 0.0201 0.0307 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] bathroom vanity: 0.4646 0.8655 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] closet wall : 0.0134 0.0182 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] laundry hamper : 0.0034 0.0039 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] bathroom stall door: 0.5057 0.7521 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] ceiling light : 0.3000 0.3905 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] trash bin : 0.3398 0.3929 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] dumbbell : 0.8361 0.9592 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] stair rail : 0.1587 0.1828 [2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] tube : 0.0732 0.0946 [2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] bathroom cabinet: 0.0652 0.0685 [2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] closet rod : 0.3409 0.6872 [2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] shower head : 0.2644 0.3575 [2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] case of water bottles: 0.0013 0.0013 [2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] mattress : 0.0011 0.0011 [2025-03-11 03:47:11,916 INFO hook.py line 690 2389709] ######################################## [2025-03-11 03:47:11,916 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2793/0.3732/0.8077. [2025-03-11 03:47:11,917 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 03:47:11,936 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2890 [2025-03-11 03:47:11,936 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 03:47:42,225 INFO hook.py line 566 2389709] Train: [47/100][50/300] Data 0.002 (0.002) Batch 0.477 (0.498) Remain 02:14:02 loss: 0.8250 Lr: 3.02079e-03 [2025-03-11 03:48:06,967 INFO hook.py line 566 2389709] Train: [47/100][100/300] Data 0.002 (0.002) Batch 0.461 (0.496) Remain 02:13:11 loss: 0.6543 Lr: 3.00730e-03 [2025-03-11 03:48:31,918 INFO hook.py line 566 2389709] Train: [47/100][150/300] Data 0.003 (0.002) Batch 0.574 (0.497) Remain 02:13:01 loss: 1.1465 Lr: 2.99380e-03 [2025-03-11 03:48:56,762 INFO hook.py line 566 2389709] Train: [47/100][200/300] Data 0.002 (0.002) Batch 0.488 (0.497) Remain 02:12:34 loss: 0.5000 Lr: 2.98029e-03 [2025-03-11 03:49:21,105 INFO hook.py line 566 2389709] Train: [47/100][250/300] Data 0.002 (0.002) Batch 0.479 (0.495) Remain 02:11:36 loss: 0.7202 Lr: 2.96676e-03 [2025-03-11 03:49:45,316 INFO hook.py line 566 2389709] Train: [47/100][300/300] Data 0.002 (0.002) Batch 0.536 (0.493) Remain 02:10:42 loss: 0.8886 Lr: 2.95349e-03 [2025-03-11 03:49:45,317 INFO misc.py line 135 2389709] Train result: loss: 0.7268 [2025-03-11 03:49:45,410 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 03:50:34,880 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6385 [2025-03-11 03:50:34,930 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3064 [2025-03-11 03:50:34,967 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5633 [2025-03-11 03:50:35,025 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4548 [2025-03-11 03:50:35,067 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8507 [2025-03-11 03:50:35,125 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0514 [2025-03-11 03:50:35,182 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8115 [2025-03-11 03:50:35,216 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4042 [2025-03-11 03:50:35,262 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2240 [2025-03-11 03:50:35,299 INFO hook.py line 748 2389709] Test: [10/78] Loss 0.7891 [2025-03-11 03:50:35,350 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2022 [2025-03-11 03:50:35,396 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0871 [2025-03-11 03:50:35,444 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.4982 [2025-03-11 03:50:35,484 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.5767 [2025-03-11 03:50:35,520 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.3407 [2025-03-11 03:50:35,578 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1265 [2025-03-11 03:50:35,617 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3340 [2025-03-11 03:50:35,659 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0135 [2025-03-11 03:50:35,707 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2168 [2025-03-11 03:50:35,747 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.3650 [2025-03-11 03:50:35,786 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.8201 [2025-03-11 03:50:35,833 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7819 [2025-03-11 03:50:35,865 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4258 [2025-03-11 03:50:35,918 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0680 [2025-03-11 03:50:35,959 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.3927 [2025-03-11 03:50:36,004 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1857 [2025-03-11 03:50:36,061 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.1673 [2025-03-11 03:50:36,109 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7409 [2025-03-11 03:50:36,149 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9191 [2025-03-11 03:50:36,207 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.6576 [2025-03-11 03:50:36,279 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6479 [2025-03-11 03:50:36,333 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.7212 [2025-03-11 03:50:36,390 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.9607 [2025-03-11 03:50:36,442 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.4934 [2025-03-11 03:50:36,483 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1195 [2025-03-11 03:50:36,524 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3166 [2025-03-11 03:50:36,562 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.7056 [2025-03-11 03:50:36,599 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.6778 [2025-03-11 03:50:36,665 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.8830 [2025-03-11 03:50:36,717 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3167 [2025-03-11 03:50:36,764 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3152 [2025-03-11 03:50:36,799 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5378 [2025-03-11 03:50:36,838 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0168 [2025-03-11 03:50:36,895 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0241 [2025-03-11 03:50:36,937 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.3018 [2025-03-11 03:50:36,991 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9896 [2025-03-11 03:50:37,029 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7110 [2025-03-11 03:50:37,063 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9820 [2025-03-11 03:50:37,099 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.6552 [2025-03-11 03:50:37,137 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.7464 [2025-03-11 03:50:37,167 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9731 [2025-03-11 03:50:37,202 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.8927 [2025-03-11 03:50:37,230 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2536 [2025-03-11 03:50:37,270 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.9549 [2025-03-11 03:50:37,313 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3970 [2025-03-11 03:50:37,353 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8840 [2025-03-11 03:50:37,391 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.9384 [2025-03-11 03:50:37,421 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2657 [2025-03-11 03:50:37,460 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7084 [2025-03-11 03:50:37,496 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5950 [2025-03-11 03:50:37,520 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8752 [2025-03-11 03:50:37,555 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.8865 [2025-03-11 03:50:37,593 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0561 [2025-03-11 03:50:37,649 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7446 [2025-03-11 03:50:37,677 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2662 [2025-03-11 03:50:37,725 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.8148 [2025-03-11 03:50:37,765 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.6794 [2025-03-11 03:50:37,804 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0994 [2025-03-11 03:50:37,839 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3619 [2025-03-11 03:50:37,904 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.6964 [2025-03-11 03:50:37,948 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.1530 [2025-03-11 03:50:38,002 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.3482 [2025-03-11 03:50:38,055 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.4992 [2025-03-11 03:50:38,103 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.1907 [2025-03-11 03:50:38,158 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.7549 [2025-03-11 03:50:38,191 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9049 [2025-03-11 03:50:38,249 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.9610 [2025-03-11 03:50:38,276 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3839 [2025-03-11 03:50:39,638 INFO hook.py line 674 2389709] ######################################## [2025-03-11 03:50:39,639 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 03:50:39,639 INFO hook.py line 680 2389709] ######################################## [2025-03-11 03:50:39,639 INFO hook.py line 689 2389709] wall : 0.7679 0.9344 [2025-03-11 03:50:39,639 INFO hook.py line 689 2389709] chair : 0.7210 0.8341 [2025-03-11 03:50:39,639 INFO hook.py line 689 2389709] floor : 0.9558 0.9738 [2025-03-11 03:50:39,639 INFO hook.py line 689 2389709] table : 0.6323 0.7519 [2025-03-11 03:50:39,639 INFO hook.py line 689 2389709] door : 0.5992 0.6956 [2025-03-11 03:50:39,639 INFO hook.py line 689 2389709] couch : 0.7794 0.8825 [2025-03-11 03:50:39,639 INFO hook.py line 689 2389709] cabinet : 0.3162 0.4999 [2025-03-11 03:50:39,640 INFO hook.py line 689 2389709] shelf : 0.4257 0.7336 [2025-03-11 03:50:39,640 INFO hook.py line 689 2389709] desk : 0.5286 0.8084 [2025-03-11 03:50:39,640 INFO hook.py line 689 2389709] office chair : 0.2368 0.4024 [2025-03-11 03:50:39,640 INFO hook.py line 689 2389709] bed : 0.7342 0.8138 [2025-03-11 03:50:39,640 INFO hook.py line 689 2389709] pillow : 0.5532 0.7377 [2025-03-11 03:50:39,640 INFO hook.py line 689 2389709] sink : 0.6316 0.7433 [2025-03-11 03:50:39,640 INFO hook.py line 689 2389709] picture : 0.3237 0.4230 [2025-03-11 03:50:39,641 INFO hook.py line 689 2389709] window : 0.5564 0.7091 [2025-03-11 03:50:39,641 INFO hook.py line 689 2389709] toilet : 0.9302 0.9487 [2025-03-11 03:50:39,641 INFO hook.py line 689 2389709] bookshelf : 0.3565 0.3936 [2025-03-11 03:50:39,641 INFO hook.py line 689 2389709] monitor : 0.8587 0.9229 [2025-03-11 03:50:39,641 INFO hook.py line 689 2389709] curtain : 0.6760 0.7443 [2025-03-11 03:50:39,641 INFO hook.py line 689 2389709] book : 0.4407 0.6650 [2025-03-11 03:50:39,641 INFO hook.py line 689 2389709] armchair : 0.5605 0.7302 [2025-03-11 03:50:39,641 INFO hook.py line 689 2389709] coffee table : 0.6123 0.6744 [2025-03-11 03:50:39,641 INFO hook.py line 689 2389709] box : 0.3247 0.5330 [2025-03-11 03:50:39,641 INFO hook.py line 689 2389709] refrigerator : 0.5853 0.5938 [2025-03-11 03:50:39,641 INFO hook.py line 689 2389709] lamp : 0.6718 0.7710 [2025-03-11 03:50:39,642 INFO hook.py line 689 2389709] kitchen cabinet: 0.6923 0.8056 [2025-03-11 03:50:39,642 INFO hook.py line 689 2389709] towel : 0.4572 0.6300 [2025-03-11 03:50:39,642 INFO hook.py line 689 2389709] clothes : 0.1870 0.2790 [2025-03-11 03:50:39,642 INFO hook.py line 689 2389709] tv : 0.8653 0.8995 [2025-03-11 03:50:39,642 INFO hook.py line 689 2389709] nightstand : 0.6595 0.8286 [2025-03-11 03:50:39,642 INFO hook.py line 689 2389709] counter : 0.2830 0.4120 [2025-03-11 03:50:39,642 INFO hook.py line 689 2389709] dresser : 0.3294 0.4172 [2025-03-11 03:50:39,642 INFO hook.py line 689 2389709] stool : 0.4180 0.7544 [2025-03-11 03:50:39,642 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 03:50:39,642 INFO hook.py line 689 2389709] plant : 0.6893 0.8377 [2025-03-11 03:50:39,643 INFO hook.py line 689 2389709] ceiling : 0.8985 0.9249 [2025-03-11 03:50:39,643 INFO hook.py line 689 2389709] bathtub : 0.8673 0.9059 [2025-03-11 03:50:39,643 INFO hook.py line 689 2389709] end table : 0.2299 0.3849 [2025-03-11 03:50:39,643 INFO hook.py line 689 2389709] dining table : 0.0729 0.0881 [2025-03-11 03:50:39,643 INFO hook.py line 689 2389709] keyboard : 0.3911 0.5758 [2025-03-11 03:50:39,643 INFO hook.py line 689 2389709] bag : 0.1690 0.3128 [2025-03-11 03:50:39,643 INFO hook.py line 689 2389709] backpack : 0.5417 0.7208 [2025-03-11 03:50:39,643 INFO hook.py line 689 2389709] toilet paper : 0.4079 0.5027 [2025-03-11 03:50:39,643 INFO hook.py line 689 2389709] printer : 0.4477 0.6052 [2025-03-11 03:50:39,643 INFO hook.py line 689 2389709] tv stand : 0.6063 0.9236 [2025-03-11 03:50:39,643 INFO hook.py line 689 2389709] whiteboard : 0.3964 0.4358 [2025-03-11 03:50:39,644 INFO hook.py line 689 2389709] blanket : 0.0303 0.0413 [2025-03-11 03:50:39,644 INFO hook.py line 689 2389709] shower curtain : 0.5710 0.6415 [2025-03-11 03:50:39,644 INFO hook.py line 689 2389709] trash can : 0.5913 0.8467 [2025-03-11 03:50:39,644 INFO hook.py line 689 2389709] closet : 0.0951 0.1220 [2025-03-11 03:50:39,644 INFO hook.py line 689 2389709] stairs : 0.5777 0.6132 [2025-03-11 03:50:39,644 INFO hook.py line 689 2389709] microwave : 0.5007 0.7417 [2025-03-11 03:50:39,644 INFO hook.py line 689 2389709] stove : 0.5206 0.6511 [2025-03-11 03:50:39,644 INFO hook.py line 689 2389709] shoe : 0.3898 0.8453 [2025-03-11 03:50:39,644 INFO hook.py line 689 2389709] computer tower : 0.5697 0.7030 [2025-03-11 03:50:39,644 INFO hook.py line 689 2389709] bottle : 0.1759 0.3584 [2025-03-11 03:50:39,644 INFO hook.py line 689 2389709] bin : 0.0010 0.0021 [2025-03-11 03:50:39,645 INFO hook.py line 689 2389709] ottoman : 0.2155 0.2498 [2025-03-11 03:50:39,645 INFO hook.py line 689 2389709] bench : 0.3814 0.4664 [2025-03-11 03:50:39,645 INFO hook.py line 689 2389709] board : 0.0808 0.1929 [2025-03-11 03:50:39,645 INFO hook.py line 689 2389709] washing machine: 0.8434 0.9063 [2025-03-11 03:50:39,645 INFO hook.py line 689 2389709] mirror : 0.3530 0.5017 [2025-03-11 03:50:39,645 INFO hook.py line 689 2389709] copier : 0.7763 0.8436 [2025-03-11 03:50:39,645 INFO hook.py line 689 2389709] basket : 0.0002 0.0008 [2025-03-11 03:50:39,645 INFO hook.py line 689 2389709] sofa chair : 0.1332 0.2136 [2025-03-11 03:50:39,645 INFO hook.py line 689 2389709] file cabinet : 0.3522 0.7556 [2025-03-11 03:50:39,645 INFO hook.py line 689 2389709] fan : 0.2364 0.2654 [2025-03-11 03:50:39,645 INFO hook.py line 689 2389709] laptop : 0.4423 0.7540 [2025-03-11 03:50:39,646 INFO hook.py line 689 2389709] shower : 0.1489 0.1766 [2025-03-11 03:50:39,646 INFO hook.py line 689 2389709] paper : 0.0524 0.0999 [2025-03-11 03:50:39,646 INFO hook.py line 689 2389709] person : 0.1102 0.3401 [2025-03-11 03:50:39,646 INFO hook.py line 689 2389709] paper towel dispenser: 0.5100 0.7816 [2025-03-11 03:50:39,646 INFO hook.py line 689 2389709] oven : 0.0714 0.0743 [2025-03-11 03:50:39,646 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 03:50:39,646 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 03:50:39,646 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 03:50:39,646 INFO hook.py line 689 2389709] blackboard : 0.5777 0.5959 [2025-03-11 03:50:39,646 INFO hook.py line 689 2389709] piano : 0.4483 0.7477 [2025-03-11 03:50:39,646 INFO hook.py line 689 2389709] suitcase : 0.4649 0.4844 [2025-03-11 03:50:39,647 INFO hook.py line 689 2389709] rail : 0.0243 0.0251 [2025-03-11 03:50:39,647 INFO hook.py line 689 2389709] radiator : 0.6103 0.6512 [2025-03-11 03:50:39,647 INFO hook.py line 689 2389709] recycling bin : 0.4897 0.5764 [2025-03-11 03:50:39,647 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 03:50:39,647 INFO hook.py line 689 2389709] wardrobe : 0.0991 0.1105 [2025-03-11 03:50:39,647 INFO hook.py line 689 2389709] soap dispenser : 0.7735 0.9276 [2025-03-11 03:50:39,647 INFO hook.py line 689 2389709] telephone : 0.2672 0.6031 [2025-03-11 03:50:39,647 INFO hook.py line 689 2389709] bucket : 0.2953 0.7130 [2025-03-11 03:50:39,647 INFO hook.py line 689 2389709] clock : 0.2316 0.3833 [2025-03-11 03:50:39,647 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 03:50:39,647 INFO hook.py line 689 2389709] light : 0.0434 0.0721 [2025-03-11 03:50:39,648 INFO hook.py line 689 2389709] laundry basket : 0.0399 0.0409 [2025-03-11 03:50:39,648 INFO hook.py line 689 2389709] pipe : 0.1347 0.2420 [2025-03-11 03:50:39,648 INFO hook.py line 689 2389709] clothes dryer : 0.4676 0.4803 [2025-03-11 03:50:39,648 INFO hook.py line 689 2389709] guitar : 0.4601 0.7123 [2025-03-11 03:50:39,648 INFO hook.py line 689 2389709] toilet paper holder: 0.0036 0.0174 [2025-03-11 03:50:39,648 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 03:50:39,648 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 03:50:39,648 INFO hook.py line 689 2389709] column : 0.0066 0.0076 [2025-03-11 03:50:39,648 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 03:50:39,648 INFO hook.py line 689 2389709] ladder : 0.3731 0.5943 [2025-03-11 03:50:39,648 INFO hook.py line 689 2389709] bathroom stall : 0.3394 0.3729 [2025-03-11 03:50:39,652 INFO hook.py line 689 2389709] shower wall : 0.4519 0.5971 [2025-03-11 03:50:39,652 INFO hook.py line 689 2389709] cup : 0.1524 0.3070 [2025-03-11 03:50:39,652 INFO hook.py line 689 2389709] jacket : 0.1980 0.2628 [2025-03-11 03:50:39,652 INFO hook.py line 689 2389709] storage bin : 0.0013 0.0018 [2025-03-11 03:50:39,652 INFO hook.py line 689 2389709] coffee maker : 0.7114 0.9198 [2025-03-11 03:50:39,653 INFO hook.py line 689 2389709] dishwasher : 0.2777 0.4549 [2025-03-11 03:50:39,653 INFO hook.py line 689 2389709] paper towel roll: 0.3340 0.3916 [2025-03-11 03:50:39,653 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 03:50:39,653 INFO hook.py line 689 2389709] mat : 0.2676 0.3982 [2025-03-11 03:50:39,653 INFO hook.py line 689 2389709] windowsill : 0.1781 0.1971 [2025-03-11 03:50:39,653 INFO hook.py line 689 2389709] bar : 0.1715 0.3219 [2025-03-11 03:50:39,653 INFO hook.py line 689 2389709] toaster : 0.0216 0.0226 [2025-03-11 03:50:39,653 INFO hook.py line 689 2389709] bulletin board : 0.0803 0.0846 [2025-03-11 03:50:39,653 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 [2025-03-11 03:50:39,653 INFO hook.py line 689 2389709] fireplace : 0.6131 0.6400 [2025-03-11 03:50:39,653 INFO hook.py line 689 2389709] soap dish : 0.3398 0.4713 [2025-03-11 03:50:39,654 INFO hook.py line 689 2389709] kitchen counter: 0.5450 0.7188 [2025-03-11 03:50:39,654 INFO hook.py line 689 2389709] doorframe : 0.3829 0.5062 [2025-03-11 03:50:39,654 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3443 0.4231 [2025-03-11 03:50:39,654 INFO hook.py line 689 2389709] mini fridge : 0.4031 0.4323 [2025-03-11 03:50:39,654 INFO hook.py line 689 2389709] fire extinguisher: 0.0063 0.0104 [2025-03-11 03:50:39,654 INFO hook.py line 689 2389709] ball : 0.6596 0.9213 [2025-03-11 03:50:39,654 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 03:50:39,654 INFO hook.py line 689 2389709] shower curtain rod: 0.4497 0.7168 [2025-03-11 03:50:39,654 INFO hook.py line 689 2389709] water cooler : 0.5182 0.6533 [2025-03-11 03:50:39,654 INFO hook.py line 689 2389709] paper cutter : 0.2380 0.5321 [2025-03-11 03:50:39,654 INFO hook.py line 689 2389709] tray : 0.0547 0.1204 [2025-03-11 03:50:39,655 INFO hook.py line 689 2389709] shower door : 0.1094 0.1130 [2025-03-11 03:50:39,655 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 03:50:39,655 INFO hook.py line 689 2389709] ledge : 0.0068 0.0076 [2025-03-11 03:50:39,655 INFO hook.py line 689 2389709] toaster oven : 0.0233 0.0245 [2025-03-11 03:50:39,655 INFO hook.py line 689 2389709] mouse : 0.0597 0.4867 [2025-03-11 03:50:39,655 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7042 0.7810 [2025-03-11 03:50:39,655 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 03:50:39,655 INFO hook.py line 689 2389709] cart : 0.2769 0.3765 [2025-03-11 03:50:39,655 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 03:50:39,655 INFO hook.py line 689 2389709] scale : 0.2280 0.9750 [2025-03-11 03:50:39,655 INFO hook.py line 689 2389709] tissue box : 0.2262 0.2947 [2025-03-11 03:50:39,656 INFO hook.py line 689 2389709] light switch : 0.0402 0.0779 [2025-03-11 03:50:39,656 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 03:50:39,656 INFO hook.py line 689 2389709] power outlet : 0.1795 0.3032 [2025-03-11 03:50:39,656 INFO hook.py line 689 2389709] decoration : 0.1286 0.3039 [2025-03-11 03:50:39,656 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 03:50:39,656 INFO hook.py line 689 2389709] projector : 0.0678 0.9188 [2025-03-11 03:50:39,656 INFO hook.py line 689 2389709] closet door : 0.0714 0.0754 [2025-03-11 03:50:39,656 INFO hook.py line 689 2389709] vacuum cleaner : 0.8994 0.9711 [2025-03-11 03:50:39,656 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 03:50:39,656 INFO hook.py line 689 2389709] plunger : 0.5099 0.9840 [2025-03-11 03:50:39,656 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 03:50:39,657 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 03:50:39,657 INFO hook.py line 689 2389709] dish rack : 0.6022 0.9140 [2025-03-11 03:50:39,657 INFO hook.py line 689 2389709] broom : 0.0712 0.1204 [2025-03-11 03:50:39,657 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 03:50:39,657 INFO hook.py line 689 2389709] range hood : 0.6445 0.7589 [2025-03-11 03:50:39,657 INFO hook.py line 689 2389709] dustpan : 0.0676 0.4382 [2025-03-11 03:50:39,657 INFO hook.py line 689 2389709] hair dryer : 0.0099 0.0260 [2025-03-11 03:50:39,657 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 03:50:39,657 INFO hook.py line 689 2389709] handicap bar : 0.0050 0.0634 [2025-03-11 03:50:39,657 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 03:50:39,657 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 03:50:39,657 INFO hook.py line 689 2389709] shower floor : 0.5154 0.6683 [2025-03-11 03:50:39,658 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 03:50:39,658 INFO hook.py line 689 2389709] mailbox : 0.4589 0.4700 [2025-03-11 03:50:39,658 INFO hook.py line 689 2389709] bowl : 0.0498 0.0958 [2025-03-11 03:50:39,658 INFO hook.py line 689 2389709] paper bag : 0.0739 0.0988 [2025-03-11 03:50:39,658 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 03:50:39,658 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 03:50:39,658 INFO hook.py line 689 2389709] projector screen: 0.0048 0.0051 [2025-03-11 03:50:39,658 INFO hook.py line 689 2389709] divider : 0.4935 0.5358 [2025-03-11 03:50:39,658 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 03:50:39,658 INFO hook.py line 689 2389709] bathroom counter: 0.2764 0.5754 [2025-03-11 03:50:39,659 INFO hook.py line 689 2389709] object : 0.0371 0.0751 [2025-03-11 03:50:39,659 INFO hook.py line 689 2389709] bathroom vanity: 0.4884 0.7129 [2025-03-11 03:50:39,659 INFO hook.py line 689 2389709] closet wall : 0.0956 0.1419 [2025-03-11 03:50:39,659 INFO hook.py line 689 2389709] laundry hamper : 0.0326 0.0396 [2025-03-11 03:50:39,659 INFO hook.py line 689 2389709] bathroom stall door: 0.5680 0.6483 [2025-03-11 03:50:39,659 INFO hook.py line 689 2389709] ceiling light : 0.2739 0.6875 [2025-03-11 03:50:39,659 INFO hook.py line 689 2389709] trash bin : 0.3245 0.4839 [2025-03-11 03:50:39,659 INFO hook.py line 689 2389709] dumbbell : 0.1499 0.9844 [2025-03-11 03:50:39,659 INFO hook.py line 689 2389709] stair rail : 0.0982 0.1151 [2025-03-11 03:50:39,659 INFO hook.py line 689 2389709] tube : 0.0169 0.0198 [2025-03-11 03:50:39,659 INFO hook.py line 689 2389709] bathroom cabinet: 0.3482 0.6244 [2025-03-11 03:50:39,660 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 03:50:39,660 INFO hook.py line 689 2389709] closet rod : 0.4990 0.7994 [2025-03-11 03:50:39,660 INFO hook.py line 689 2389709] coffee kettle : 0.0753 0.0791 [2025-03-11 03:50:39,660 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 03:50:39,660 INFO hook.py line 689 2389709] shower head : 0.2618 0.3538 [2025-03-11 03:50:39,660 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 03:50:39,660 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 03:50:39,660 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 03:50:39,660 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 03:50:39,660 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 03:50:39,660 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 03:50:39,660 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 03:50:39,661 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 03:50:39,661 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 03:50:39,661 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 03:50:39,661 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 03:50:39,661 INFO hook.py line 689 2389709] mattress : 0.0170 0.0178 [2025-03-11 03:50:39,661 INFO hook.py line 690 2389709] ######################################## [2025-03-11 03:50:39,661 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2838/0.3903/0.8042. [2025-03-11 03:50:39,662 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 03:50:39,679 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2890 [2025-03-11 03:50:39,680 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 03:51:09,537 INFO hook.py line 566 2389709] Train: [48/100][50/300] Data 0.002 (0.002) Batch 0.450 (0.493) Remain 02:10:18 loss: 0.7769 Lr: 2.93993e-03 [2025-03-11 03:51:34,005 INFO hook.py line 566 2389709] Train: [48/100][100/300] Data 0.002 (0.002) Batch 0.511 (0.491) Remain 02:09:21 loss: 0.6612 Lr: 2.92636e-03 [2025-03-11 03:51:58,679 INFO hook.py line 566 2389709] Train: [48/100][150/300] Data 0.002 (0.002) Batch 0.491 (0.492) Remain 02:09:09 loss: 0.5091 Lr: 2.91278e-03 [2025-03-11 03:52:23,478 INFO hook.py line 566 2389709] Train: [48/100][200/300] Data 0.002 (0.002) Batch 0.501 (0.493) Remain 02:09:00 loss: 1.1047 Lr: 2.89919e-03 [2025-03-11 03:52:47,990 INFO hook.py line 566 2389709] Train: [48/100][250/300] Data 0.002 (0.002) Batch 0.551 (0.492) Remain 02:08:26 loss: 0.6671 Lr: 2.88558e-03 [2025-03-11 03:53:11,896 INFO hook.py line 566 2389709] Train: [48/100][300/300] Data 0.003 (0.002) Batch 0.468 (0.490) Remain 02:07:24 loss: 0.6893 Lr: 2.87196e-03 [2025-03-11 03:53:11,897 INFO misc.py line 135 2389709] Train result: loss: 0.7349 [2025-03-11 03:53:11,991 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 03:54:06,706 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5474 [2025-03-11 03:54:06,752 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2706 [2025-03-11 03:54:06,795 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7144 [2025-03-11 03:54:06,855 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5635 [2025-03-11 03:54:06,892 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0912 [2025-03-11 03:54:06,953 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.7505 [2025-03-11 03:54:07,006 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7598 [2025-03-11 03:54:07,041 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3583 [2025-03-11 03:54:07,092 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2737 [2025-03-11 03:54:07,130 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1079 [2025-03-11 03:54:07,178 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1010 [2025-03-11 03:54:07,210 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.9591 [2025-03-11 03:54:07,272 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.8961 [2025-03-11 03:54:07,311 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.9020 [2025-03-11 03:54:07,362 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2841 [2025-03-11 03:54:07,408 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.5519 [2025-03-11 03:54:07,452 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2932 [2025-03-11 03:54:07,487 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9408 [2025-03-11 03:54:07,530 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2419 [2025-03-11 03:54:07,573 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5692 [2025-03-11 03:54:07,611 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7084 [2025-03-11 03:54:07,659 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6863 [2025-03-11 03:54:07,689 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.1927 [2025-03-11 03:54:07,739 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0322 [2025-03-11 03:54:07,781 INFO hook.py line 748 2389709] Test: [25/78] Loss 2.0642 [2025-03-11 03:54:07,824 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1568 [2025-03-11 03:54:07,878 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.4487 [2025-03-11 03:54:07,913 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6756 [2025-03-11 03:54:07,949 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9236 [2025-03-11 03:54:08,005 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.0345 [2025-03-11 03:54:08,065 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6177 [2025-03-11 03:54:08,099 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1529 [2025-03-11 03:54:08,156 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.3632 [2025-03-11 03:54:08,196 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.4095 [2025-03-11 03:54:08,233 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3312 [2025-03-11 03:54:08,274 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3707 [2025-03-11 03:54:08,318 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.1852 [2025-03-11 03:54:08,348 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.6845 [2025-03-11 03:54:08,423 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.9396 [2025-03-11 03:54:08,470 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.2697 [2025-03-11 03:54:08,514 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3370 [2025-03-11 03:54:08,542 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4908 [2025-03-11 03:54:08,583 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.9453 [2025-03-11 03:54:08,641 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0073 [2025-03-11 03:54:08,685 INFO hook.py line 748 2389709] Test: [45/78] Loss 2.1992 [2025-03-11 03:54:08,735 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1696 [2025-03-11 03:54:08,777 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9069 [2025-03-11 03:54:08,811 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0287 [2025-03-11 03:54:08,844 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.7262 [2025-03-11 03:54:08,877 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5702 [2025-03-11 03:54:08,906 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.8225 [2025-03-11 03:54:08,940 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5503 [2025-03-11 03:54:08,968 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4687 [2025-03-11 03:54:09,003 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8222 [2025-03-11 03:54:09,043 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4370 [2025-03-11 03:54:09,083 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.3444 [2025-03-11 03:54:09,117 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.1224 [2025-03-11 03:54:09,144 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.4209 [2025-03-11 03:54:09,182 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.6360 [2025-03-11 03:54:09,219 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4360 [2025-03-11 03:54:09,243 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9571 [2025-03-11 03:54:09,279 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0279 [2025-03-11 03:54:09,315 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.9837 [2025-03-11 03:54:09,372 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8244 [2025-03-11 03:54:09,400 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.5940 [2025-03-11 03:54:09,444 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.9455 [2025-03-11 03:54:09,484 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1087 [2025-03-11 03:54:09,519 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0582 [2025-03-11 03:54:09,550 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4108 [2025-03-11 03:54:09,612 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.4593 [2025-03-11 03:54:09,655 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7137 [2025-03-11 03:54:09,710 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.3819 [2025-03-11 03:54:09,764 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7366 [2025-03-11 03:54:09,809 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.9005 [2025-03-11 03:54:09,861 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.4639 [2025-03-11 03:54:09,889 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.1674 [2025-03-11 03:54:09,948 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7313 [2025-03-11 03:54:09,974 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.1423 [2025-03-11 03:54:11,379 INFO hook.py line 674 2389709] ######################################## [2025-03-11 03:54:11,379 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 03:54:11,380 INFO hook.py line 680 2389709] ######################################## [2025-03-11 03:54:11,380 INFO hook.py line 689 2389709] wall : 0.7861 0.9105 [2025-03-11 03:54:11,380 INFO hook.py line 689 2389709] chair : 0.7009 0.7845 [2025-03-11 03:54:11,380 INFO hook.py line 689 2389709] floor : 0.9546 0.9833 [2025-03-11 03:54:11,380 INFO hook.py line 689 2389709] table : 0.6026 0.7907 [2025-03-11 03:54:11,380 INFO hook.py line 689 2389709] door : 0.6112 0.8290 [2025-03-11 03:54:11,380 INFO hook.py line 689 2389709] couch : 0.7742 0.9014 [2025-03-11 03:54:11,380 INFO hook.py line 689 2389709] cabinet : 0.3445 0.5210 [2025-03-11 03:54:11,380 INFO hook.py line 689 2389709] shelf : 0.3176 0.3897 [2025-03-11 03:54:11,380 INFO hook.py line 689 2389709] desk : 0.5408 0.6888 [2025-03-11 03:54:11,381 INFO hook.py line 689 2389709] office chair : 0.2811 0.5866 [2025-03-11 03:54:11,381 INFO hook.py line 689 2389709] bed : 0.7341 0.9002 [2025-03-11 03:54:11,381 INFO hook.py line 689 2389709] pillow : 0.4871 0.6726 [2025-03-11 03:54:11,381 INFO hook.py line 689 2389709] sink : 0.6642 0.7432 [2025-03-11 03:54:11,381 INFO hook.py line 689 2389709] picture : 0.3382 0.4388 [2025-03-11 03:54:11,381 INFO hook.py line 689 2389709] window : 0.5143 0.6027 [2025-03-11 03:54:11,381 INFO hook.py line 689 2389709] toilet : 0.9150 0.9339 [2025-03-11 03:54:11,381 INFO hook.py line 689 2389709] bookshelf : 0.4601 0.6427 [2025-03-11 03:54:11,381 INFO hook.py line 689 2389709] monitor : 0.8426 0.9257 [2025-03-11 03:54:11,381 INFO hook.py line 689 2389709] curtain : 0.6608 0.8301 [2025-03-11 03:54:11,381 INFO hook.py line 689 2389709] book : 0.4159 0.7945 [2025-03-11 03:54:11,382 INFO hook.py line 689 2389709] armchair : 0.5240 0.6341 [2025-03-11 03:54:11,382 INFO hook.py line 689 2389709] coffee table : 0.5512 0.7229 [2025-03-11 03:54:11,382 INFO hook.py line 689 2389709] box : 0.2777 0.3478 [2025-03-11 03:54:11,382 INFO hook.py line 689 2389709] refrigerator : 0.5951 0.6694 [2025-03-11 03:54:11,382 INFO hook.py line 689 2389709] lamp : 0.6292 0.7826 [2025-03-11 03:54:11,382 INFO hook.py line 689 2389709] kitchen cabinet: 0.6761 0.7960 [2025-03-11 03:54:11,382 INFO hook.py line 689 2389709] towel : 0.3679 0.6580 [2025-03-11 03:54:11,382 INFO hook.py line 689 2389709] clothes : 0.1987 0.3018 [2025-03-11 03:54:11,382 INFO hook.py line 689 2389709] tv : 0.8033 0.9251 [2025-03-11 03:54:11,382 INFO hook.py line 689 2389709] nightstand : 0.5287 0.9220 [2025-03-11 03:54:11,382 INFO hook.py line 689 2389709] counter : 0.1853 0.2310 [2025-03-11 03:54:11,382 INFO hook.py line 689 2389709] dresser : 0.4480 0.6322 [2025-03-11 03:54:11,383 INFO hook.py line 689 2389709] stool : 0.4026 0.8083 [2025-03-11 03:54:11,383 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 03:54:11,383 INFO hook.py line 689 2389709] plant : 0.7943 0.8605 [2025-03-11 03:54:11,383 INFO hook.py line 689 2389709] ceiling : 0.9156 0.9741 [2025-03-11 03:54:11,383 INFO hook.py line 689 2389709] bathtub : 0.8725 0.8951 [2025-03-11 03:54:11,383 INFO hook.py line 689 2389709] end table : 0.1577 0.3204 [2025-03-11 03:54:11,383 INFO hook.py line 689 2389709] dining table : 0.0673 0.1357 [2025-03-11 03:54:11,383 INFO hook.py line 689 2389709] keyboard : 0.3733 0.6510 [2025-03-11 03:54:11,383 INFO hook.py line 689 2389709] bag : 0.1779 0.2047 [2025-03-11 03:54:11,383 INFO hook.py line 689 2389709] backpack : 0.5969 0.7892 [2025-03-11 03:54:11,383 INFO hook.py line 689 2389709] toilet paper : 0.4636 0.5418 [2025-03-11 03:54:11,384 INFO hook.py line 689 2389709] printer : 0.4313 0.5041 [2025-03-11 03:54:11,384 INFO hook.py line 689 2389709] tv stand : 0.3865 0.8993 [2025-03-11 03:54:11,384 INFO hook.py line 689 2389709] whiteboard : 0.4664 0.6040 [2025-03-11 03:54:11,384 INFO hook.py line 689 2389709] blanket : 0.0075 0.0081 [2025-03-11 03:54:11,384 INFO hook.py line 689 2389709] shower curtain : 0.5840 0.6828 [2025-03-11 03:54:11,384 INFO hook.py line 689 2389709] trash can : 0.6182 0.8136 [2025-03-11 03:54:11,384 INFO hook.py line 689 2389709] closet : 0.0953 0.1133 [2025-03-11 03:54:11,384 INFO hook.py line 689 2389709] stairs : 0.5750 0.5852 [2025-03-11 03:54:11,384 INFO hook.py line 689 2389709] microwave : 0.6003 0.6889 [2025-03-11 03:54:11,384 INFO hook.py line 689 2389709] stove : 0.5567 0.6743 [2025-03-11 03:54:11,384 INFO hook.py line 689 2389709] shoe : 0.4537 0.6047 [2025-03-11 03:54:11,385 INFO hook.py line 689 2389709] computer tower : 0.4680 0.8238 [2025-03-11 03:54:11,385 INFO hook.py line 689 2389709] bottle : 0.1107 0.2522 [2025-03-11 03:54:11,385 INFO hook.py line 689 2389709] bin : 0.0003 0.0004 [2025-03-11 03:54:11,385 INFO hook.py line 689 2389709] ottoman : 0.4810 0.5200 [2025-03-11 03:54:11,385 INFO hook.py line 689 2389709] bench : 0.3827 0.4631 [2025-03-11 03:54:11,385 INFO hook.py line 689 2389709] board : 0.1337 0.2648 [2025-03-11 03:54:11,385 INFO hook.py line 689 2389709] washing machine: 0.7996 0.9384 [2025-03-11 03:54:11,385 INFO hook.py line 689 2389709] mirror : 0.3629 0.4033 [2025-03-11 03:54:11,385 INFO hook.py line 689 2389709] copier : 0.8422 0.9152 [2025-03-11 03:54:11,385 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 03:54:11,385 INFO hook.py line 689 2389709] sofa chair : 0.1683 0.3537 [2025-03-11 03:54:11,386 INFO hook.py line 689 2389709] file cabinet : 0.4079 0.4944 [2025-03-11 03:54:11,386 INFO hook.py line 689 2389709] fan : 0.2501 0.6163 [2025-03-11 03:54:11,386 INFO hook.py line 689 2389709] laptop : 0.3874 0.7052 [2025-03-11 03:54:11,386 INFO hook.py line 689 2389709] shower : 0.2687 0.3525 [2025-03-11 03:54:11,386 INFO hook.py line 689 2389709] paper : 0.0639 0.0980 [2025-03-11 03:54:11,386 INFO hook.py line 689 2389709] person : 0.2189 0.5687 [2025-03-11 03:54:11,386 INFO hook.py line 689 2389709] paper towel dispenser: 0.5208 0.7784 [2025-03-11 03:54:11,386 INFO hook.py line 689 2389709] oven : 0.0176 0.0179 [2025-03-11 03:54:11,386 INFO hook.py line 689 2389709] blinds : 0.0121 0.0133 [2025-03-11 03:54:11,386 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 03:54:11,386 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 03:54:11,387 INFO hook.py line 689 2389709] blackboard : 0.6250 0.6626 [2025-03-11 03:54:11,387 INFO hook.py line 689 2389709] piano : 0.4219 0.6365 [2025-03-11 03:54:11,387 INFO hook.py line 689 2389709] suitcase : 0.4986 0.5537 [2025-03-11 03:54:11,387 INFO hook.py line 689 2389709] rail : 0.0396 0.0439 [2025-03-11 03:54:11,387 INFO hook.py line 689 2389709] radiator : 0.5991 0.6825 [2025-03-11 03:54:11,387 INFO hook.py line 689 2389709] recycling bin : 0.4404 0.6993 [2025-03-11 03:54:11,387 INFO hook.py line 689 2389709] container : 0.0016 0.0016 [2025-03-11 03:54:11,387 INFO hook.py line 689 2389709] wardrobe : 0.1400 0.2159 [2025-03-11 03:54:11,387 INFO hook.py line 689 2389709] soap dispenser : 0.7622 0.8916 [2025-03-11 03:54:11,387 INFO hook.py line 689 2389709] telephone : 0.2855 0.3536 [2025-03-11 03:54:11,387 INFO hook.py line 689 2389709] bucket : 0.2749 0.3726 [2025-03-11 03:54:11,387 INFO hook.py line 689 2389709] clock : 0.1957 0.3963 [2025-03-11 03:54:11,388 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 03:54:11,388 INFO hook.py line 689 2389709] light : 0.0304 0.0583 [2025-03-11 03:54:11,388 INFO hook.py line 689 2389709] laundry basket : 0.0002 0.0002 [2025-03-11 03:54:11,388 INFO hook.py line 689 2389709] pipe : 0.0409 0.0728 [2025-03-11 03:54:11,388 INFO hook.py line 689 2389709] clothes dryer : 0.3294 0.3352 [2025-03-11 03:54:11,388 INFO hook.py line 689 2389709] guitar : 0.4970 0.8866 [2025-03-11 03:54:11,388 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 03:54:11,388 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 03:54:11,388 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 03:54:11,388 INFO hook.py line 689 2389709] column : 0.0403 0.0899 [2025-03-11 03:54:11,388 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 03:54:11,389 INFO hook.py line 689 2389709] ladder : 0.3707 0.6629 [2025-03-11 03:54:11,389 INFO hook.py line 689 2389709] bathroom stall : 0.5028 0.6742 [2025-03-11 03:54:11,389 INFO hook.py line 689 2389709] shower wall : 0.4527 0.5272 [2025-03-11 03:54:11,389 INFO hook.py line 689 2389709] cup : 0.1710 0.3779 [2025-03-11 03:54:11,389 INFO hook.py line 689 2389709] jacket : 0.1194 0.1768 [2025-03-11 03:54:11,390 INFO hook.py line 689 2389709] storage bin : 0.0043 0.0049 [2025-03-11 03:54:11,390 INFO hook.py line 689 2389709] coffee maker : 0.7330 0.9869 [2025-03-11 03:54:11,390 INFO hook.py line 689 2389709] dishwasher : 0.4299 0.6351 [2025-03-11 03:54:11,390 INFO hook.py line 689 2389709] paper towel roll: 0.1835 0.2257 [2025-03-11 03:54:11,390 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 03:54:11,390 INFO hook.py line 689 2389709] mat : 0.0000 0.0000 [2025-03-11 03:54:11,390 INFO hook.py line 689 2389709] windowsill : 0.1776 0.2007 [2025-03-11 03:54:11,390 INFO hook.py line 689 2389709] bar : 0.1224 0.2099 [2025-03-11 03:54:11,390 INFO hook.py line 689 2389709] toaster : 0.2601 0.7030 [2025-03-11 03:54:11,390 INFO hook.py line 689 2389709] bulletin board : 0.2495 0.3152 [2025-03-11 03:54:11,390 INFO hook.py line 689 2389709] ironing board : 0.1321 0.1397 [2025-03-11 03:54:11,391 INFO hook.py line 689 2389709] fireplace : 0.6842 0.7444 [2025-03-11 03:54:11,391 INFO hook.py line 689 2389709] soap dish : 0.3702 0.6004 [2025-03-11 03:54:11,391 INFO hook.py line 689 2389709] kitchen counter: 0.5071 0.6554 [2025-03-11 03:54:11,391 INFO hook.py line 689 2389709] doorframe : 0.3829 0.6830 [2025-03-11 03:54:11,391 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4105 0.5949 [2025-03-11 03:54:11,391 INFO hook.py line 689 2389709] mini fridge : 0.1841 0.1929 [2025-03-11 03:54:11,391 INFO hook.py line 689 2389709] fire extinguisher: 0.0878 0.1492 [2025-03-11 03:54:11,391 INFO hook.py line 689 2389709] ball : 0.3267 0.9411 [2025-03-11 03:54:11,391 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 03:54:11,391 INFO hook.py line 689 2389709] shower curtain rod: 0.5431 0.7500 [2025-03-11 03:54:11,391 INFO hook.py line 689 2389709] water cooler : 0.3287 0.3296 [2025-03-11 03:54:11,391 INFO hook.py line 689 2389709] paper cutter : 0.2769 0.3151 [2025-03-11 03:54:11,392 INFO hook.py line 689 2389709] tray : 0.0489 0.0591 [2025-03-11 03:54:11,392 INFO hook.py line 689 2389709] shower door : 0.1104 0.1175 [2025-03-11 03:54:11,392 INFO hook.py line 689 2389709] pillar : 0.0154 0.0162 [2025-03-11 03:54:11,392 INFO hook.py line 689 2389709] ledge : 0.0417 0.0473 [2025-03-11 03:54:11,392 INFO hook.py line 689 2389709] toaster oven : 0.0060 0.0061 [2025-03-11 03:54:11,392 INFO hook.py line 689 2389709] mouse : 0.0459 0.6327 [2025-03-11 03:54:11,392 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5530 0.8809 [2025-03-11 03:54:11,392 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 03:54:11,392 INFO hook.py line 689 2389709] cart : 0.3410 0.4974 [2025-03-11 03:54:11,392 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 03:54:11,392 INFO hook.py line 689 2389709] scale : 0.2539 0.4371 [2025-03-11 03:54:11,393 INFO hook.py line 689 2389709] tissue box : 0.1214 0.1585 [2025-03-11 03:54:11,393 INFO hook.py line 689 2389709] light switch : 0.0682 0.2074 [2025-03-11 03:54:11,393 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 03:54:11,393 INFO hook.py line 689 2389709] power outlet : 0.0882 0.0958 [2025-03-11 03:54:11,393 INFO hook.py line 689 2389709] decoration : 0.1659 0.6473 [2025-03-11 03:54:11,393 INFO hook.py line 689 2389709] sign : 0.0269 0.0290 [2025-03-11 03:54:11,393 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 [2025-03-11 03:54:11,393 INFO hook.py line 689 2389709] closet door : 0.2579 0.3123 [2025-03-11 03:54:11,393 INFO hook.py line 689 2389709] vacuum cleaner : 0.7549 0.8980 [2025-03-11 03:54:11,393 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 03:54:11,393 INFO hook.py line 689 2389709] plunger : 0.2550 0.9745 [2025-03-11 03:54:11,393 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 03:54:11,394 INFO hook.py line 689 2389709] headphones : 0.0349 0.0842 [2025-03-11 03:54:11,394 INFO hook.py line 689 2389709] dish rack : 0.7874 0.9113 [2025-03-11 03:54:11,394 INFO hook.py line 689 2389709] broom : 0.0598 0.0685 [2025-03-11 03:54:11,394 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 03:54:11,394 INFO hook.py line 689 2389709] range hood : 0.7874 0.8710 [2025-03-11 03:54:11,394 INFO hook.py line 689 2389709] dustpan : 0.0502 0.1863 [2025-03-11 03:54:11,394 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 03:54:11,394 INFO hook.py line 689 2389709] water bottle : 0.0043 0.0256 [2025-03-11 03:54:11,394 INFO hook.py line 689 2389709] handicap bar : 0.0554 0.8851 [2025-03-11 03:54:11,394 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 03:54:11,394 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 03:54:11,395 INFO hook.py line 689 2389709] shower floor : 0.0000 0.0000 [2025-03-11 03:54:11,395 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 03:54:11,395 INFO hook.py line 689 2389709] mailbox : 0.3737 0.4747 [2025-03-11 03:54:11,395 INFO hook.py line 689 2389709] bowl : 0.0728 0.0748 [2025-03-11 03:54:11,395 INFO hook.py line 689 2389709] paper bag : 0.0492 0.1761 [2025-03-11 03:54:11,395 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 03:54:11,395 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 03:54:11,395 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 03:54:11,395 INFO hook.py line 689 2389709] divider : 0.4877 0.6116 [2025-03-11 03:54:11,395 INFO hook.py line 689 2389709] laundry detergent: 0.0005 0.0005 [2025-03-11 03:54:11,395 INFO hook.py line 689 2389709] bathroom counter: 0.3051 0.3870 [2025-03-11 03:54:11,395 INFO hook.py line 689 2389709] object : 0.0223 0.0397 [2025-03-11 03:54:11,396 INFO hook.py line 689 2389709] bathroom vanity: 0.4787 0.7587 [2025-03-11 03:54:11,396 INFO hook.py line 689 2389709] closet wall : 0.0079 0.0134 [2025-03-11 03:54:11,396 INFO hook.py line 689 2389709] laundry hamper : 0.0743 0.1007 [2025-03-11 03:54:11,396 INFO hook.py line 689 2389709] bathroom stall door: 0.4554 0.6748 [2025-03-11 03:54:11,396 INFO hook.py line 689 2389709] ceiling light : 0.2002 0.2215 [2025-03-11 03:54:11,396 INFO hook.py line 689 2389709] trash bin : 0.0966 0.1039 [2025-03-11 03:54:11,396 INFO hook.py line 689 2389709] dumbbell : 0.0590 0.9625 [2025-03-11 03:54:11,396 INFO hook.py line 689 2389709] stair rail : 0.2558 0.3288 [2025-03-11 03:54:11,396 INFO hook.py line 689 2389709] tube : 0.0748 0.0811 [2025-03-11 03:54:11,396 INFO hook.py line 689 2389709] bathroom cabinet: 0.2020 0.2618 [2025-03-11 03:54:11,396 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 03:54:11,397 INFO hook.py line 689 2389709] closet rod : 0.5205 0.7531 [2025-03-11 03:54:11,397 INFO hook.py line 689 2389709] coffee kettle : 0.1554 0.6942 [2025-03-11 03:54:11,397 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 03:54:11,397 INFO hook.py line 689 2389709] shower head : 0.2005 0.2557 [2025-03-11 03:54:11,397 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 03:54:11,397 INFO hook.py line 689 2389709] case of water bottles: 0.1456 0.1520 [2025-03-11 03:54:11,397 INFO hook.py line 689 2389709] coat rack : 0.0058 0.0909 [2025-03-11 03:54:11,397 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 03:54:11,397 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 03:54:11,397 INFO hook.py line 689 2389709] fire alarm : 0.0891 0.5500 [2025-03-11 03:54:11,397 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 03:54:11,397 INFO hook.py line 689 2389709] calendar : 0.0005 0.0042 [2025-03-11 03:54:11,398 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 03:54:11,398 INFO hook.py line 689 2389709] potted plant : 0.0974 0.7201 [2025-03-11 03:54:11,398 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 03:54:11,398 INFO hook.py line 689 2389709] mattress : 0.0012 0.0012 [2025-03-11 03:54:11,398 INFO hook.py line 690 2389709] ######################################## [2025-03-11 03:54:11,398 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2791/0.3986/0.8057. [2025-03-11 03:54:11,399 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 03:54:11,404 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2890 [2025-03-11 03:54:11,404 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 03:54:42,765 INFO hook.py line 566 2389709] Train: [49/100][50/300] Data 0.002 (0.002) Batch 0.435 (0.494) Remain 02:08:08 loss: 0.6182 Lr: 2.85833e-03 [2025-03-11 03:55:07,591 INFO hook.py line 566 2389709] Train: [49/100][100/300] Data 0.002 (0.002) Batch 0.497 (0.496) Remain 02:08:00 loss: 0.4984 Lr: 2.84469e-03 [2025-03-11 03:55:32,085 INFO hook.py line 566 2389709] Train: [49/100][150/300] Data 0.002 (0.002) Batch 0.581 (0.494) Remain 02:07:05 loss: 0.5797 Lr: 2.83104e-03 [2025-03-11 03:55:56,822 INFO hook.py line 566 2389709] Train: [49/100][200/300] Data 0.003 (0.002) Batch 0.473 (0.494) Remain 02:06:45 loss: 0.6486 Lr: 2.81738e-03 [2025-03-11 03:56:21,047 INFO hook.py line 566 2389709] Train: [49/100][250/300] Data 0.002 (0.002) Batch 0.493 (0.492) Remain 02:05:51 loss: 0.8926 Lr: 2.80371e-03 [2025-03-11 03:56:44,959 INFO hook.py line 566 2389709] Train: [49/100][300/300] Data 0.002 (0.002) Batch 0.456 (0.490) Remain 02:04:51 loss: 0.7444 Lr: 2.79003e-03 [2025-03-11 03:56:44,960 INFO misc.py line 135 2389709] Train result: loss: 0.7194 [2025-03-11 03:56:45,101 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 03:57:40,541 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5057 [2025-03-11 03:57:40,594 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.0660 [2025-03-11 03:57:40,636 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5707 [2025-03-11 03:57:40,684 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5630 [2025-03-11 03:57:40,723 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0617 [2025-03-11 03:57:40,803 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0851 [2025-03-11 03:57:40,856 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8366 [2025-03-11 03:57:40,884 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2365 [2025-03-11 03:57:40,934 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.0858 [2025-03-11 03:57:40,974 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2704 [2025-03-11 03:57:41,024 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3283 [2025-03-11 03:57:41,063 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1783 [2025-03-11 03:57:41,114 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.3372 [2025-03-11 03:57:41,161 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4788 [2025-03-11 03:57:41,199 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1324 [2025-03-11 03:57:41,250 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0941 [2025-03-11 03:57:41,288 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5649 [2025-03-11 03:57:41,339 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1054 [2025-03-11 03:57:41,385 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.7373 [2025-03-11 03:57:41,421 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6841 [2025-03-11 03:57:41,459 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7888 [2025-03-11 03:57:41,499 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9339 [2025-03-11 03:57:41,533 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.7782 [2025-03-11 03:57:41,589 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0270 [2025-03-11 03:57:41,631 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4833 [2025-03-11 03:57:41,684 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.7707 [2025-03-11 03:57:41,741 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0297 [2025-03-11 03:57:41,791 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5432 [2025-03-11 03:57:41,822 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.2477 [2025-03-11 03:57:41,883 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.1123 [2025-03-11 03:57:41,941 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5489 [2025-03-11 03:57:41,986 INFO hook.py line 748 2389709] Test: [32/78] Loss 0.9567 [2025-03-11 03:57:42,044 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7654 [2025-03-11 03:57:42,088 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.8072 [2025-03-11 03:57:42,132 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1352 [2025-03-11 03:57:42,173 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5115 [2025-03-11 03:57:42,215 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.4557 [2025-03-11 03:57:42,245 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8456 [2025-03-11 03:57:42,318 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.3227 [2025-03-11 03:57:42,365 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3335 [2025-03-11 03:57:42,427 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2533 [2025-03-11 03:57:42,473 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4429 [2025-03-11 03:57:42,514 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.9827 [2025-03-11 03:57:42,574 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8746 [2025-03-11 03:57:42,622 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7202 [2025-03-11 03:57:42,673 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1160 [2025-03-11 03:57:42,716 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9846 [2025-03-11 03:57:42,752 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9780 [2025-03-11 03:57:42,787 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3823 [2025-03-11 03:57:42,826 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8804 [2025-03-11 03:57:42,861 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.4041 [2025-03-11 03:57:42,898 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7382 [2025-03-11 03:57:42,930 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2343 [2025-03-11 03:57:42,970 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8035 [2025-03-11 03:57:43,013 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4098 [2025-03-11 03:57:43,059 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8368 [2025-03-11 03:57:43,098 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.0421 [2025-03-11 03:57:43,129 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2965 [2025-03-11 03:57:43,170 INFO hook.py line 748 2389709] Test: [59/78] Loss 1.1193 [2025-03-11 03:57:43,212 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6921 [2025-03-11 03:57:43,241 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9636 [2025-03-11 03:57:43,280 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0360 [2025-03-11 03:57:43,318 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.8389 [2025-03-11 03:57:43,378 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.2537 [2025-03-11 03:57:43,411 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3524 [2025-03-11 03:57:43,459 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.1201 [2025-03-11 03:57:43,499 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0371 [2025-03-11 03:57:43,540 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1038 [2025-03-11 03:57:43,575 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.2726 [2025-03-11 03:57:43,638 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.4940 [2025-03-11 03:57:43,682 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7674 [2025-03-11 03:57:43,739 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7291 [2025-03-11 03:57:43,796 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6044 [2025-03-11 03:57:43,840 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.3031 [2025-03-11 03:57:43,892 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6538 [2025-03-11 03:57:43,921 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9671 [2025-03-11 03:57:43,983 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.8461 [2025-03-11 03:57:44,009 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9802 [2025-03-11 03:57:45,350 INFO hook.py line 674 2389709] ######################################## [2025-03-11 03:57:45,351 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 03:57:45,351 INFO hook.py line 680 2389709] ######################################## [2025-03-11 03:57:45,351 INFO hook.py line 689 2389709] wall : 0.7720 0.9337 [2025-03-11 03:57:45,351 INFO hook.py line 689 2389709] chair : 0.7399 0.9144 [2025-03-11 03:57:45,351 INFO hook.py line 689 2389709] floor : 0.9581 0.9749 [2025-03-11 03:57:45,351 INFO hook.py line 689 2389709] table : 0.6194 0.7110 [2025-03-11 03:57:45,351 INFO hook.py line 689 2389709] door : 0.6101 0.7860 [2025-03-11 03:57:45,351 INFO hook.py line 689 2389709] couch : 0.8113 0.9135 [2025-03-11 03:57:45,351 INFO hook.py line 689 2389709] cabinet : 0.3298 0.4811 [2025-03-11 03:57:45,351 INFO hook.py line 689 2389709] shelf : 0.3587 0.5111 [2025-03-11 03:57:45,351 INFO hook.py line 689 2389709] desk : 0.5474 0.7193 [2025-03-11 03:57:45,351 INFO hook.py line 689 2389709] office chair : 0.0354 0.0397 [2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] bed : 0.7667 0.8407 [2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] pillow : 0.5362 0.8017 [2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] sink : 0.6395 0.7358 [2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] picture : 0.3608 0.4714 [2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] window : 0.5297 0.7199 [2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] toilet : 0.9000 0.9767 [2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] bookshelf : 0.4801 0.6572 [2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] monitor : 0.8512 0.8802 [2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] curtain : 0.6226 0.6855 [2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] book : 0.4559 0.7251 [2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] armchair : 0.5656 0.7391 [2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] coffee table : 0.7203 0.8036 [2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] box : 0.3063 0.5108 [2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] refrigerator : 0.6090 0.6716 [2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] lamp : 0.6759 0.7702 [2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] kitchen cabinet: 0.6826 0.7916 [2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] towel : 0.4153 0.6788 [2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] clothes : 0.1599 0.5195 [2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] tv : 0.7493 0.7672 [2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] nightstand : 0.6555 0.7963 [2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] counter : 0.2873 0.4791 [2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] dresser : 0.2958 0.4062 [2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] stool : 0.4310 0.6284 [2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] plant : 0.7838 0.8777 [2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] ceiling : 0.9228 0.9533 [2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] bathtub : 0.8497 0.8984 [2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] end table : 0.1180 0.1461 [2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] dining table : 0.0421 0.0531 [2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] keyboard : 0.4036 0.6058 [2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] bag : 0.2927 0.3795 [2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] backpack : 0.5964 0.7079 [2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] toilet paper : 0.4434 0.5497 [2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] printer : 0.4959 0.5940 [2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] tv stand : 0.5785 0.7128 [2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] whiteboard : 0.4772 0.6632 [2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] blanket : 0.0001 0.0001 [2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] shower curtain : 0.6019 0.6508 [2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] trash can : 0.6543 0.8016 [2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] closet : 0.1099 0.1520 [2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] stairs : 0.5950 0.6226 [2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] microwave : 0.4172 0.7163 [2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] stove : 0.5935 0.7233 [2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] shoe : 0.4572 0.6547 [2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] computer tower : 0.6464 0.7424 [2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] bottle : 0.1426 0.4453 [2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] bin : 0.0090 0.0170 [2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] ottoman : 0.1141 0.1153 [2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] bench : 0.4599 0.5258 [2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] board : 0.0889 0.1314 [2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] washing machine: 0.8664 0.9286 [2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] mirror : 0.3195 0.4551 [2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] copier : 0.8754 0.9397 [2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] basket : 0.0282 0.0465 [2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] sofa chair : 0.1346 0.1796 [2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] file cabinet : 0.4213 0.5504 [2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] fan : 0.4278 0.4643 [2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] laptop : 0.4841 0.6186 [2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] shower : 0.2825 0.3022 [2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] paper : 0.0099 0.0120 [2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] person : 0.2853 0.3668 [2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] paper towel dispenser: 0.5657 0.8444 [2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] oven : 0.0335 0.0359 [2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] blackboard : 0.5989 0.6595 [2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] piano : 0.4239 0.5832 [2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] suitcase : 0.5683 0.6774 [2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] rail : 0.0265 0.0293 [2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] radiator : 0.5802 0.6375 [2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] recycling bin : 0.5031 0.5559 [2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] wardrobe : 0.1117 0.1206 [2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] soap dispenser : 0.7960 0.9082 [2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] telephone : 0.3059 0.6659 [2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] bucket : 0.3495 0.5770 [2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] clock : 0.2316 0.3198 [2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] light : 0.0428 0.0480 [2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] laundry basket : 0.0256 0.0335 [2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] pipe : 0.0276 0.0470 [2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] clothes dryer : 0.7107 0.7615 [2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] guitar : 0.7475 0.8360 [2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] toilet paper holder: 0.0115 0.0213 [2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] column : 0.0010 0.0010 [2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] ladder : 0.4496 0.5319 [2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] bathroom stall : 0.5250 0.6222 [2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] shower wall : 0.4511 0.5650 [2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] cup : 0.1808 0.4828 [2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] jacket : 0.1956 0.2975 [2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] storage bin : 0.0060 0.0107 [2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] coffee maker : 0.4661 0.9956 [2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] dishwasher : 0.1720 0.1945 [2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] paper towel roll: 0.3102 0.3405 [2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] mat : 0.1689 0.1766 [2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] windowsill : 0.1401 0.1429 [2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] bar : 0.0647 0.2719 [2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] toaster : 0.0145 0.0189 [2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] bulletin board : 0.2929 0.6484 [2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] ironing board : 0.1469 0.1806 [2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] fireplace : 0.6250 0.6747 [2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] soap dish : 0.3117 0.4892 [2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] kitchen counter: 0.4492 0.5197 [2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] doorframe : 0.3904 0.5464 [2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4130 0.5710 [2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] mini fridge : 0.3603 0.3890 [2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] fire extinguisher: 0.1186 0.2835 [2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] ball : 0.4506 0.6305 [2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] shower curtain rod: 0.3007 0.8884 [2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] water cooler : 0.4229 0.4593 [2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] paper cutter : 0.2388 0.3794 [2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] tray : 0.0167 0.0305 [2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] shower door : 0.1861 0.2106 [2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] ledge : 0.0365 0.0481 [2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] mouse : 0.0788 0.2387 [2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7053 0.8195 [2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] cart : 0.1619 0.1726 [2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] scale : 0.0269 0.0629 [2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] tissue box : 0.2203 0.2830 [2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] light switch : 0.0547 0.1969 [2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] power outlet : 0.0939 0.1255 [2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] decoration : 0.1513 0.6525 [2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] sign : 0.0688 0.0731 [2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] projector : 0.0380 0.9848 [2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] closet door : 0.0266 0.0284 [2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] vacuum cleaner : 0.6252 0.9811 [2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] plunger : 0.8338 0.9904 [2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] dish rack : 0.3060 0.3248 [2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] broom : 0.1202 0.2514 [2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] range hood : 0.7412 0.9003 [2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] dustpan : 0.0684 0.1217 [2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] water bottle : 0.0514 0.1230 [2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] handicap bar : 0.0580 0.7197 [2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] shower floor : 0.7696 0.9928 [2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] mailbox : 0.3290 0.3332 [2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 [2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] paper bag : 0.0621 0.0901 [2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] divider : 0.4335 0.5157 [2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] laundry detergent: 0.0027 0.0030 [2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] bathroom counter: 0.2977 0.3188 [2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] object : 0.0416 0.0673 [2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] bathroom vanity: 0.4477 0.7540 [2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] closet wall : 0.0772 0.1267 [2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] laundry hamper : 0.0121 0.0156 [2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] bathroom stall door: 0.5286 0.5800 [2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] ceiling light : 0.2338 0.2827 [2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] trash bin : 0.2991 0.3728 [2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] dumbbell : 0.8924 0.9624 [2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] stair rail : 0.0771 0.0833 [2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] tube : 0.0673 0.1088 [2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] bathroom cabinet: 0.0989 0.1667 [2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] closet rod : 0.1943 0.8619 [2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] shower head : 0.1939 0.2599 [2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] keyboard piano : 0.0416 0.0432 [2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] case of water bottles: 0.0800 0.0802 [2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] fire alarm : 0.0196 0.0714 [2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] calendar : 0.0022 0.0042 [2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 [2025-03-11 03:57:45,360 INFO hook.py line 690 2389709] ######################################## [2025-03-11 03:57:45,360 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2885/0.3823/0.8113. [2025-03-11 03:57:45,361 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 03:57:45,378 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2890 [2025-03-11 03:57:45,379 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 03:58:16,383 INFO hook.py line 566 2389709] Train: [50/100][50/300] Data 0.002 (0.002) Batch 0.476 (0.498) Remain 02:06:36 loss: 0.6947 Lr: 2.77634e-03 [2025-03-11 03:58:40,662 INFO hook.py line 566 2389709] Train: [50/100][100/300] Data 0.002 (0.002) Batch 0.479 (0.492) Remain 02:04:32 loss: 0.5092 Lr: 2.76264e-03 [2025-03-11 03:59:05,796 INFO hook.py line 566 2389709] Train: [50/100][150/300] Data 0.002 (0.002) Batch 0.569 (0.495) Remain 02:05:05 loss: 0.6410 Lr: 2.74894e-03 [2025-03-11 03:59:30,349 INFO hook.py line 566 2389709] Train: [50/100][200/300] Data 0.002 (0.002) Batch 0.501 (0.494) Remain 02:04:23 loss: 0.7354 Lr: 2.73522e-03 [2025-03-11 03:59:55,196 INFO hook.py line 566 2389709] Train: [50/100][250/300] Data 0.002 (0.002) Batch 0.411 (0.495) Remain 02:04:07 loss: 0.6754 Lr: 2.72150e-03 [2025-03-11 04:00:19,065 INFO hook.py line 566 2389709] Train: [50/100][300/300] Data 0.002 (0.002) Batch 0.445 (0.492) Remain 02:02:58 loss: 0.9505 Lr: 2.70778e-03 [2025-03-11 04:00:19,066 INFO misc.py line 135 2389709] Train result: loss: 0.7029 [2025-03-11 04:00:19,172 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 04:01:15,469 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4330 [2025-03-11 04:01:15,518 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.6018 [2025-03-11 04:01:15,556 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5243 [2025-03-11 04:01:15,609 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4026 [2025-03-11 04:01:15,647 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8354 [2025-03-11 04:01:15,708 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2218 [2025-03-11 04:01:15,761 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8890 [2025-03-11 04:01:15,793 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4890 [2025-03-11 04:01:15,844 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1658 [2025-03-11 04:01:15,884 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.0724 [2025-03-11 04:01:15,937 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1246 [2025-03-11 04:01:15,974 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0014 [2025-03-11 04:01:16,025 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.0433 [2025-03-11 04:01:16,068 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.5689 [2025-03-11 04:01:16,108 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0680 [2025-03-11 04:01:16,161 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1928 [2025-03-11 04:01:16,202 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1800 [2025-03-11 04:01:16,244 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0030 [2025-03-11 04:01:16,290 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2175 [2025-03-11 04:01:16,331 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7246 [2025-03-11 04:01:16,369 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6959 [2025-03-11 04:01:16,427 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.5970 [2025-03-11 04:01:16,469 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.7276 [2025-03-11 04:01:16,517 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.8244 [2025-03-11 04:01:16,563 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.3195 [2025-03-11 04:01:16,612 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.3202 [2025-03-11 04:01:16,669 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.7573 [2025-03-11 04:01:16,711 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8062 [2025-03-11 04:01:16,759 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.7338 [2025-03-11 04:01:16,834 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.1066 [2025-03-11 04:01:16,894 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6909 [2025-03-11 04:01:16,931 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.5498 [2025-03-11 04:01:16,993 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8952 [2025-03-11 04:01:17,037 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.6746 [2025-03-11 04:01:17,077 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2790 [2025-03-11 04:01:17,124 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3957 [2025-03-11 04:01:17,176 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.4923 [2025-03-11 04:01:17,205 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.6432 [2025-03-11 04:01:17,280 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.5141 [2025-03-11 04:01:17,328 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6690 [2025-03-11 04:01:17,378 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3186 [2025-03-11 04:01:17,425 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4511 [2025-03-11 04:01:17,465 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0662 [2025-03-11 04:01:17,530 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9464 [2025-03-11 04:01:17,571 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.9570 [2025-03-11 04:01:17,624 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1298 [2025-03-11 04:01:17,672 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9108 [2025-03-11 04:01:17,705 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0051 [2025-03-11 04:01:17,741 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4506 [2025-03-11 04:01:17,778 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4701 [2025-03-11 04:01:17,808 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.1829 [2025-03-11 04:01:17,842 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5854 [2025-03-11 04:01:17,871 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4753 [2025-03-11 04:01:17,912 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8452 [2025-03-11 04:01:17,955 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3608 [2025-03-11 04:01:17,997 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8856 [2025-03-11 04:01:18,035 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.5466 [2025-03-11 04:01:18,066 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.6067 [2025-03-11 04:01:18,105 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.6925 [2025-03-11 04:01:18,141 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5919 [2025-03-11 04:01:18,166 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8857 [2025-03-11 04:01:18,201 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.8988 [2025-03-11 04:01:18,238 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.4434 [2025-03-11 04:01:18,296 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.5903 [2025-03-11 04:01:18,323 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1989 [2025-03-11 04:01:18,372 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.5844 [2025-03-11 04:01:18,411 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0457 [2025-03-11 04:01:18,449 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.8860 [2025-03-11 04:01:18,485 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3670 [2025-03-11 04:01:18,551 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7687 [2025-03-11 04:01:18,595 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.9388 [2025-03-11 04:01:18,650 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6740 [2025-03-11 04:01:18,703 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5858 [2025-03-11 04:01:18,752 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.3555 [2025-03-11 04:01:18,807 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.8069 [2025-03-11 04:01:18,841 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7999 [2025-03-11 04:01:18,900 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6235 [2025-03-11 04:01:18,927 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.1540 [2025-03-11 04:01:20,278 INFO hook.py line 674 2389709] ######################################## [2025-03-11 04:01:20,281 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 04:01:20,281 INFO hook.py line 680 2389709] ######################################## [2025-03-11 04:01:20,282 INFO hook.py line 689 2389709] wall : 0.7869 0.9267 [2025-03-11 04:01:20,282 INFO hook.py line 689 2389709] chair : 0.7336 0.8899 [2025-03-11 04:01:20,282 INFO hook.py line 689 2389709] floor : 0.9571 0.9770 [2025-03-11 04:01:20,282 INFO hook.py line 689 2389709] table : 0.6175 0.7588 [2025-03-11 04:01:20,282 INFO hook.py line 689 2389709] door : 0.6402 0.7316 [2025-03-11 04:01:20,282 INFO hook.py line 689 2389709] couch : 0.7940 0.8798 [2025-03-11 04:01:20,282 INFO hook.py line 689 2389709] cabinet : 0.2831 0.4071 [2025-03-11 04:01:20,283 INFO hook.py line 689 2389709] shelf : 0.4415 0.7299 [2025-03-11 04:01:20,283 INFO hook.py line 689 2389709] desk : 0.5334 0.7367 [2025-03-11 04:01:20,283 INFO hook.py line 689 2389709] office chair : 0.0533 0.0683 [2025-03-11 04:01:20,283 INFO hook.py line 689 2389709] bed : 0.7538 0.8693 [2025-03-11 04:01:20,283 INFO hook.py line 689 2389709] pillow : 0.5607 0.7178 [2025-03-11 04:01:20,283 INFO hook.py line 689 2389709] sink : 0.6165 0.7275 [2025-03-11 04:01:20,283 INFO hook.py line 689 2389709] picture : 0.3467 0.4144 [2025-03-11 04:01:20,284 INFO hook.py line 689 2389709] window : 0.5582 0.7804 [2025-03-11 04:01:20,284 INFO hook.py line 689 2389709] toilet : 0.9239 0.9675 [2025-03-11 04:01:20,284 INFO hook.py line 689 2389709] bookshelf : 0.4153 0.4951 [2025-03-11 04:01:20,284 INFO hook.py line 689 2389709] monitor : 0.8529 0.8974 [2025-03-11 04:01:20,284 INFO hook.py line 689 2389709] curtain : 0.6603 0.7459 [2025-03-11 04:01:20,284 INFO hook.py line 689 2389709] book : 0.4208 0.6192 [2025-03-11 04:01:20,284 INFO hook.py line 689 2389709] armchair : 0.5077 0.5999 [2025-03-11 04:01:20,284 INFO hook.py line 689 2389709] coffee table : 0.5856 0.7633 [2025-03-11 04:01:20,285 INFO hook.py line 689 2389709] box : 0.2291 0.2656 [2025-03-11 04:01:20,285 INFO hook.py line 689 2389709] refrigerator : 0.6391 0.7934 [2025-03-11 04:01:20,285 INFO hook.py line 689 2389709] lamp : 0.7010 0.8096 [2025-03-11 04:01:20,285 INFO hook.py line 689 2389709] kitchen cabinet: 0.5786 0.8010 [2025-03-11 04:01:20,285 INFO hook.py line 689 2389709] towel : 0.3898 0.6972 [2025-03-11 04:01:20,285 INFO hook.py line 689 2389709] clothes : 0.1879 0.3191 [2025-03-11 04:01:20,285 INFO hook.py line 689 2389709] tv : 0.8456 0.8892 [2025-03-11 04:01:20,286 INFO hook.py line 689 2389709] nightstand : 0.6307 0.8610 [2025-03-11 04:01:20,286 INFO hook.py line 689 2389709] counter : 0.2489 0.3765 [2025-03-11 04:01:20,286 INFO hook.py line 689 2389709] dresser : 0.2634 0.3839 [2025-03-11 04:01:20,286 INFO hook.py line 689 2389709] stool : 0.4746 0.6220 [2025-03-11 04:01:20,286 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 04:01:20,286 INFO hook.py line 689 2389709] plant : 0.7649 0.9277 [2025-03-11 04:01:20,286 INFO hook.py line 689 2389709] ceiling : 0.9201 0.9496 [2025-03-11 04:01:20,287 INFO hook.py line 689 2389709] bathtub : 0.8715 0.8951 [2025-03-11 04:01:20,287 INFO hook.py line 689 2389709] end table : 0.1272 0.1633 [2025-03-11 04:01:20,287 INFO hook.py line 689 2389709] dining table : 0.0618 0.0713 [2025-03-11 04:01:20,287 INFO hook.py line 689 2389709] keyboard : 0.3923 0.5983 [2025-03-11 04:01:20,287 INFO hook.py line 689 2389709] bag : 0.2791 0.3929 [2025-03-11 04:01:20,287 INFO hook.py line 689 2389709] backpack : 0.6384 0.7847 [2025-03-11 04:01:20,287 INFO hook.py line 689 2389709] toilet paper : 0.4354 0.5193 [2025-03-11 04:01:20,288 INFO hook.py line 689 2389709] printer : 0.4580 0.5111 [2025-03-11 04:01:20,288 INFO hook.py line 689 2389709] tv stand : 0.5637 0.8025 [2025-03-11 04:01:20,288 INFO hook.py line 689 2389709] whiteboard : 0.5423 0.6459 [2025-03-11 04:01:20,288 INFO hook.py line 689 2389709] blanket : 0.0712 0.0926 [2025-03-11 04:01:20,288 INFO hook.py line 689 2389709] shower curtain : 0.6667 0.7584 [2025-03-11 04:01:20,288 INFO hook.py line 689 2389709] trash can : 0.6294 0.8520 [2025-03-11 04:01:20,288 INFO hook.py line 689 2389709] closet : 0.1009 0.1219 [2025-03-11 04:01:20,289 INFO hook.py line 689 2389709] stairs : 0.4590 0.7706 [2025-03-11 04:01:20,289 INFO hook.py line 689 2389709] microwave : 0.4721 0.7021 [2025-03-11 04:01:20,289 INFO hook.py line 689 2389709] stove : 0.5512 0.8016 [2025-03-11 04:01:20,289 INFO hook.py line 689 2389709] shoe : 0.4984 0.6991 [2025-03-11 04:01:20,289 INFO hook.py line 689 2389709] computer tower : 0.5292 0.7888 [2025-03-11 04:01:20,289 INFO hook.py line 689 2389709] bottle : 0.0983 0.1597 [2025-03-11 04:01:20,289 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 04:01:20,289 INFO hook.py line 689 2389709] ottoman : 0.4105 0.5160 [2025-03-11 04:01:20,290 INFO hook.py line 689 2389709] bench : 0.3750 0.4637 [2025-03-11 04:01:20,290 INFO hook.py line 689 2389709] board : 0.1978 0.2917 [2025-03-11 04:01:20,290 INFO hook.py line 689 2389709] washing machine: 0.8441 0.9299 [2025-03-11 04:01:20,290 INFO hook.py line 689 2389709] mirror : 0.3633 0.4865 [2025-03-11 04:01:20,290 INFO hook.py line 689 2389709] copier : 0.7964 0.9234 [2025-03-11 04:01:20,290 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 04:01:20,290 INFO hook.py line 689 2389709] sofa chair : 0.1865 0.3607 [2025-03-11 04:01:20,291 INFO hook.py line 689 2389709] file cabinet : 0.4195 0.5241 [2025-03-11 04:01:20,291 INFO hook.py line 689 2389709] fan : 0.2689 0.3236 [2025-03-11 04:01:20,291 INFO hook.py line 689 2389709] laptop : 0.3949 0.6965 [2025-03-11 04:01:20,291 INFO hook.py line 689 2389709] shower : 0.1648 0.1886 [2025-03-11 04:01:20,291 INFO hook.py line 689 2389709] paper : 0.0416 0.0541 [2025-03-11 04:01:20,291 INFO hook.py line 689 2389709] person : 0.3196 0.6105 [2025-03-11 04:01:20,291 INFO hook.py line 689 2389709] paper towel dispenser: 0.5030 0.7562 [2025-03-11 04:01:20,292 INFO hook.py line 689 2389709] oven : 0.0027 0.0064 [2025-03-11 04:01:20,292 INFO hook.py line 689 2389709] blinds : 0.0111 0.0131 [2025-03-11 04:01:20,292 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 04:01:20,292 INFO hook.py line 689 2389709] plate : 0.0006 0.0023 [2025-03-11 04:01:20,292 INFO hook.py line 689 2389709] blackboard : 0.5714 0.6292 [2025-03-11 04:01:20,292 INFO hook.py line 689 2389709] piano : 0.4456 0.9656 [2025-03-11 04:01:20,292 INFO hook.py line 689 2389709] suitcase : 0.5236 0.5684 [2025-03-11 04:01:20,292 INFO hook.py line 689 2389709] rail : 0.0178 0.0182 [2025-03-11 04:01:20,293 INFO hook.py line 689 2389709] radiator : 0.5534 0.5953 [2025-03-11 04:01:20,293 INFO hook.py line 689 2389709] recycling bin : 0.4417 0.5565 [2025-03-11 04:01:20,293 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 04:01:20,293 INFO hook.py line 689 2389709] wardrobe : 0.2156 0.3996 [2025-03-11 04:01:20,293 INFO hook.py line 689 2389709] soap dispenser : 0.8219 0.9001 [2025-03-11 04:01:20,293 INFO hook.py line 689 2389709] telephone : 0.2743 0.3997 [2025-03-11 04:01:20,293 INFO hook.py line 689 2389709] bucket : 0.2779 0.9052 [2025-03-11 04:01:20,294 INFO hook.py line 689 2389709] clock : 0.2674 0.2918 [2025-03-11 04:01:20,294 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 04:01:20,294 INFO hook.py line 689 2389709] light : 0.0220 0.0266 [2025-03-11 04:01:20,294 INFO hook.py line 689 2389709] laundry basket : 0.0007 0.0008 [2025-03-11 04:01:20,294 INFO hook.py line 689 2389709] pipe : 0.0836 0.1432 [2025-03-11 04:01:20,294 INFO hook.py line 689 2389709] clothes dryer : 0.7452 0.7924 [2025-03-11 04:01:20,294 INFO hook.py line 689 2389709] guitar : 0.8091 0.8885 [2025-03-11 04:01:20,295 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 04:01:20,295 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 04:01:20,295 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 04:01:20,295 INFO hook.py line 689 2389709] column : 0.0082 0.0101 [2025-03-11 04:01:20,295 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 04:01:20,295 INFO hook.py line 689 2389709] ladder : 0.4975 0.7158 [2025-03-11 04:01:20,295 INFO hook.py line 689 2389709] bathroom stall : 0.4044 0.4396 [2025-03-11 04:01:20,295 INFO hook.py line 689 2389709] shower wall : 0.3992 0.4673 [2025-03-11 04:01:20,296 INFO hook.py line 689 2389709] cup : 0.2091 0.5249 [2025-03-11 04:01:20,296 INFO hook.py line 689 2389709] jacket : 0.1585 0.2435 [2025-03-11 04:01:20,296 INFO hook.py line 689 2389709] storage bin : 0.0224 0.0247 [2025-03-11 04:01:20,296 INFO hook.py line 689 2389709] coffee maker : 0.5730 0.7439 [2025-03-11 04:01:20,296 INFO hook.py line 689 2389709] dishwasher : 0.2706 0.6838 [2025-03-11 04:01:20,296 INFO hook.py line 689 2389709] paper towel roll: 0.2961 0.4049 [2025-03-11 04:01:20,296 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 04:01:20,297 INFO hook.py line 689 2389709] mat : 0.1616 0.1698 [2025-03-11 04:01:20,297 INFO hook.py line 689 2389709] windowsill : 0.0842 0.0962 [2025-03-11 04:01:20,297 INFO hook.py line 689 2389709] bar : 0.1582 0.2690 [2025-03-11 04:01:20,297 INFO hook.py line 689 2389709] toaster : 0.1655 0.5687 [2025-03-11 04:01:20,297 INFO hook.py line 689 2389709] bulletin board : 0.3249 0.4112 [2025-03-11 04:01:20,297 INFO hook.py line 689 2389709] ironing board : 0.0935 0.1226 [2025-03-11 04:01:20,297 INFO hook.py line 689 2389709] fireplace : 0.2028 0.2029 [2025-03-11 04:01:20,297 INFO hook.py line 689 2389709] soap dish : 0.3309 0.4811 [2025-03-11 04:01:20,298 INFO hook.py line 689 2389709] kitchen counter: 0.4947 0.8039 [2025-03-11 04:01:20,298 INFO hook.py line 689 2389709] doorframe : 0.4068 0.6821 [2025-03-11 04:01:20,298 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4024 0.4989 [2025-03-11 04:01:20,298 INFO hook.py line 689 2389709] mini fridge : 0.4271 0.5129 [2025-03-11 04:01:20,298 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 04:01:20,298 INFO hook.py line 689 2389709] ball : 0.5659 0.8918 [2025-03-11 04:01:20,298 INFO hook.py line 689 2389709] hat : 0.0120 0.0555 [2025-03-11 04:01:20,299 INFO hook.py line 689 2389709] shower curtain rod: 0.2996 0.8910 [2025-03-11 04:01:20,299 INFO hook.py line 689 2389709] water cooler : 0.7304 0.9460 [2025-03-11 04:01:20,299 INFO hook.py line 689 2389709] paper cutter : 0.2371 0.3357 [2025-03-11 04:01:20,299 INFO hook.py line 689 2389709] tray : 0.0019 0.0037 [2025-03-11 04:01:20,299 INFO hook.py line 689 2389709] shower door : 0.1787 0.3106 [2025-03-11 04:01:20,299 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 04:01:20,299 INFO hook.py line 689 2389709] ledge : 0.0404 0.0579 [2025-03-11 04:01:20,299 INFO hook.py line 689 2389709] toaster oven : 0.0439 0.0706 [2025-03-11 04:01:20,300 INFO hook.py line 689 2389709] mouse : 0.0756 0.4574 [2025-03-11 04:01:20,300 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7250 0.7750 [2025-03-11 04:01:20,300 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 04:01:20,300 INFO hook.py line 689 2389709] cart : 0.1598 0.1848 [2025-03-11 04:01:20,300 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 04:01:20,300 INFO hook.py line 689 2389709] scale : 0.2533 0.9629 [2025-03-11 04:01:20,300 INFO hook.py line 689 2389709] tissue box : 0.2510 0.4126 [2025-03-11 04:01:20,300 INFO hook.py line 689 2389709] light switch : 0.0480 0.2991 [2025-03-11 04:01:20,301 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 04:01:20,301 INFO hook.py line 689 2389709] power outlet : 0.1529 0.3313 [2025-03-11 04:01:20,301 INFO hook.py line 689 2389709] decoration : 0.5128 0.6191 [2025-03-11 04:01:20,301 INFO hook.py line 689 2389709] sign : 0.0446 0.0575 [2025-03-11 04:01:20,301 INFO hook.py line 689 2389709] projector : 0.1327 0.8141 [2025-03-11 04:01:20,301 INFO hook.py line 689 2389709] closet door : 0.0651 0.0667 [2025-03-11 04:01:20,301 INFO hook.py line 689 2389709] vacuum cleaner : 0.8274 0.9249 [2025-03-11 04:01:20,301 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 04:01:20,302 INFO hook.py line 689 2389709] plunger : 0.6624 0.9716 [2025-03-11 04:01:20,302 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 04:01:20,302 INFO hook.py line 689 2389709] headphones : 0.0093 0.0191 [2025-03-11 04:01:20,302 INFO hook.py line 689 2389709] dish rack : 0.6568 0.6999 [2025-03-11 04:01:20,302 INFO hook.py line 689 2389709] broom : 0.0572 0.1890 [2025-03-11 04:01:20,302 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 04:01:20,302 INFO hook.py line 689 2389709] range hood : 0.7723 0.9060 [2025-03-11 04:01:20,302 INFO hook.py line 689 2389709] dustpan : 0.0659 0.1143 [2025-03-11 04:01:20,302 INFO hook.py line 689 2389709] hair dryer : 0.0046 0.0080 [2025-03-11 04:01:20,303 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 04:01:20,303 INFO hook.py line 689 2389709] handicap bar : 0.0789 0.8450 [2025-03-11 04:01:20,303 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 04:01:20,303 INFO hook.py line 689 2389709] vent : 0.0529 0.0632 [2025-03-11 04:01:20,303 INFO hook.py line 689 2389709] shower floor : 0.5578 0.5702 [2025-03-11 04:01:20,303 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 04:01:20,303 INFO hook.py line 689 2389709] mailbox : 0.2610 0.2618 [2025-03-11 04:01:20,303 INFO hook.py line 689 2389709] bowl : 0.2129 0.2791 [2025-03-11 04:01:20,304 INFO hook.py line 689 2389709] paper bag : 0.0649 0.1291 [2025-03-11 04:01:20,304 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 04:01:20,304 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 04:01:20,304 INFO hook.py line 689 2389709] projector screen: 0.0440 0.0444 [2025-03-11 04:01:20,304 INFO hook.py line 689 2389709] divider : 0.4769 0.5729 [2025-03-11 04:01:20,304 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 04:01:20,304 INFO hook.py line 689 2389709] bathroom counter: 0.2735 0.3151 [2025-03-11 04:01:20,304 INFO hook.py line 689 2389709] object : 0.0384 0.0872 [2025-03-11 04:01:20,304 INFO hook.py line 689 2389709] bathroom vanity: 0.4822 0.8816 [2025-03-11 04:01:20,304 INFO hook.py line 689 2389709] closet wall : 0.1142 0.1680 [2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] laundry hamper : 0.1425 0.2247 [2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] bathroom stall door: 0.5714 0.7806 [2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] ceiling light : 0.4120 0.4901 [2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] trash bin : 0.4199 0.5072 [2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] dumbbell : 0.8254 0.9689 [2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] stair rail : 0.0677 0.0757 [2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] tube : 0.0766 0.1491 [2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] bathroom cabinet: 0.0749 0.0852 [2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] closet rod : 0.5047 0.8419 [2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] coffee kettle : 0.0792 0.0838 [2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] shower head : 0.2937 0.3239 [2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] case of water bottles: 0.0614 0.0614 [2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 04:01:20,306 INFO hook.py line 689 2389709] folded chair : 0.0019 0.0027 [2025-03-11 04:01:20,306 INFO hook.py line 689 2389709] fire alarm : 0.0610 0.4773 [2025-03-11 04:01:20,306 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 04:01:20,306 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 04:01:20,306 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 04:01:20,306 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 04:01:20,306 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 04:01:20,306 INFO hook.py line 689 2389709] mattress : 0.0156 0.0157 [2025-03-11 04:01:20,306 INFO hook.py line 690 2389709] ######################################## [2025-03-11 04:01:20,306 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2984/0.4076/0.8115. [2025-03-11 04:01:20,307 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 04:01:20,319 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2984 [2025-03-11 04:01:20,319 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 [2025-03-11 04:01:20,319 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 04:01:50,666 INFO hook.py line 566 2389709] Train: [51/100][50/300] Data 0.002 (0.002) Batch 0.479 (0.495) Remain 02:03:20 loss: 0.5503 Lr: 2.69404e-03 [2025-03-11 04:02:15,422 INFO hook.py line 566 2389709] Train: [51/100][100/300] Data 0.002 (0.002) Batch 0.477 (0.495) Remain 02:02:56 loss: 0.6293 Lr: 2.68030e-03 [2025-03-11 04:02:39,935 INFO hook.py line 566 2389709] Train: [51/100][150/300] Data 0.002 (0.002) Batch 0.528 (0.493) Remain 02:02:07 loss: 0.5910 Lr: 2.66656e-03 [2025-03-11 04:03:04,225 INFO hook.py line 566 2389709] Train: [51/100][200/300] Data 0.002 (0.002) Batch 0.449 (0.491) Remain 02:01:14 loss: 0.9037 Lr: 2.65281e-03 [2025-03-11 04:03:29,063 INFO hook.py line 566 2389709] Train: [51/100][250/300] Data 0.002 (0.002) Batch 0.569 (0.493) Remain 02:01:05 loss: 0.7709 Lr: 2.63906e-03 [2025-03-11 04:03:52,719 INFO hook.py line 566 2389709] Train: [51/100][300/300] Data 0.001 (0.002) Batch 0.468 (0.489) Remain 01:59:52 loss: 0.8643 Lr: 2.62530e-03 [2025-03-11 04:03:52,720 INFO misc.py line 135 2389709] Train result: loss: 0.7062 [2025-03-11 04:03:52,810 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 04:04:47,908 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6227 [2025-03-11 04:04:47,990 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.5885 [2025-03-11 04:04:48,031 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7561 [2025-03-11 04:04:48,086 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5181 [2025-03-11 04:04:48,121 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.7567 [2025-03-11 04:04:48,181 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1308 [2025-03-11 04:04:48,237 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7990 [2025-03-11 04:04:48,283 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4034 [2025-03-11 04:04:48,331 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2334 [2025-03-11 04:04:48,366 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2582 [2025-03-11 04:04:48,419 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2297 [2025-03-11 04:04:48,465 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0174 [2025-03-11 04:04:48,516 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.6954 [2025-03-11 04:04:48,555 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.2384 [2025-03-11 04:04:48,601 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0355 [2025-03-11 04:04:48,655 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0947 [2025-03-11 04:04:48,709 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3710 [2025-03-11 04:04:48,748 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.2145 [2025-03-11 04:04:48,795 INFO hook.py line 748 2389709] Test: [19/78] Loss 1.7656 [2025-03-11 04:04:48,839 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6595 [2025-03-11 04:04:48,880 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6869 [2025-03-11 04:04:48,930 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.5791 [2025-03-11 04:04:48,963 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3399 [2025-03-11 04:04:49,014 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1805 [2025-03-11 04:04:49,060 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7006 [2025-03-11 04:04:49,105 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.7497 [2025-03-11 04:04:49,161 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0492 [2025-03-11 04:04:49,203 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8262 [2025-03-11 04:04:49,238 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.8401 [2025-03-11 04:04:49,301 INFO hook.py line 748 2389709] Test: [30/78] Loss 0.8454 [2025-03-11 04:04:49,364 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.8328 [2025-03-11 04:04:49,403 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2762 [2025-03-11 04:04:49,468 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.6524 [2025-03-11 04:04:49,507 INFO hook.py line 748 2389709] Test: [34/78] Loss 3.3904 [2025-03-11 04:04:49,555 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.5689 [2025-03-11 04:04:49,597 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4461 [2025-03-11 04:04:49,644 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.0126 [2025-03-11 04:04:49,677 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.6832 [2025-03-11 04:04:49,757 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.9508 [2025-03-11 04:04:49,807 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.1496 [2025-03-11 04:04:49,859 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3757 [2025-03-11 04:04:49,899 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4584 [2025-03-11 04:04:49,941 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.9625 [2025-03-11 04:04:50,005 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0602 [2025-03-11 04:04:50,062 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7883 [2025-03-11 04:04:50,122 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0596 [2025-03-11 04:04:50,160 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.6388 [2025-03-11 04:04:50,199 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0342 [2025-03-11 04:04:50,234 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.2492 [2025-03-11 04:04:50,267 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4530 [2025-03-11 04:04:50,298 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.8049 [2025-03-11 04:04:50,338 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5752 [2025-03-11 04:04:50,365 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.6317 [2025-03-11 04:04:50,408 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8984 [2025-03-11 04:04:50,451 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3367 [2025-03-11 04:04:50,492 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.5054 [2025-03-11 04:04:50,530 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.6611 [2025-03-11 04:04:50,556 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.4359 [2025-03-11 04:04:50,598 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8266 [2025-03-11 04:04:50,636 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5267 [2025-03-11 04:04:50,664 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9125 [2025-03-11 04:04:50,700 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9825 [2025-03-11 04:04:50,738 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0317 [2025-03-11 04:04:50,796 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7123 [2025-03-11 04:04:50,824 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.0751 [2025-03-11 04:04:50,868 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.6590 [2025-03-11 04:04:50,908 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.2787 [2025-03-11 04:04:50,944 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.8497 [2025-03-11 04:04:50,976 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.2824 [2025-03-11 04:04:51,039 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.3047 [2025-03-11 04:04:51,082 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.4993 [2025-03-11 04:04:51,137 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5710 [2025-03-11 04:04:51,190 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6103 [2025-03-11 04:04:51,236 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.1040 [2025-03-11 04:04:51,288 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5660 [2025-03-11 04:04:51,317 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.2539 [2025-03-11 04:04:51,376 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.9207 [2025-03-11 04:04:51,403 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9251 [2025-03-11 04:04:52,626 INFO hook.py line 674 2389709] ######################################## [2025-03-11 04:04:52,627 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 04:04:52,627 INFO hook.py line 680 2389709] ######################################## [2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] wall : 0.7539 0.9298 [2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] chair : 0.6817 0.7846 [2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] floor : 0.9573 0.9844 [2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] table : 0.6268 0.8168 [2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] door : 0.5464 0.6040 [2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] couch : 0.8044 0.9071 [2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] cabinet : 0.3054 0.4316 [2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] shelf : 0.4441 0.7217 [2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] desk : 0.5396 0.6727 [2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] office chair : 0.2659 0.5908 [2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] bed : 0.7858 0.8736 [2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] pillow : 0.5184 0.7350 [2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] sink : 0.6304 0.7401 [2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] picture : 0.3535 0.5350 [2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] window : 0.4822 0.5586 [2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] toilet : 0.9198 0.9532 [2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] bookshelf : 0.4477 0.5142 [2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] monitor : 0.8235 0.8718 [2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] curtain : 0.6258 0.6842 [2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] book : 0.4306 0.6586 [2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] armchair : 0.5885 0.7533 [2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] coffee table : 0.6562 0.7373 [2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] box : 0.3264 0.5601 [2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] refrigerator : 0.5946 0.6058 [2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] lamp : 0.6109 0.7927 [2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] kitchen cabinet: 0.6764 0.7632 [2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] towel : 0.4213 0.5143 [2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] clothes : 0.2039 0.3424 [2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] tv : 0.8058 0.9325 [2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] nightstand : 0.6969 0.8480 [2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] counter : 0.2556 0.4332 [2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] dresser : 0.3965 0.5838 [2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] stool : 0.4761 0.5992 [2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] plant : 0.7435 0.8555 [2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] ceiling : 0.9175 0.9456 [2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] bathtub : 0.8689 0.8941 [2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] end table : 0.2812 0.4613 [2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] dining table : 0.0384 0.0548 [2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] keyboard : 0.4042 0.6393 [2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] bag : 0.2347 0.4576 [2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] backpack : 0.6031 0.7004 [2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] toilet paper : 0.4388 0.4746 [2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] printer : 0.4759 0.7345 [2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] tv stand : 0.7387 0.9648 [2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] whiteboard : 0.4782 0.6746 [2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] blanket : 0.0264 0.0290 [2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] shower curtain : 0.5094 0.7070 [2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] trash can : 0.5641 0.8333 [2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] closet : 0.0973 0.1405 [2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] stairs : 0.4457 0.5875 [2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] microwave : 0.5320 0.7028 [2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] stove : 0.5311 0.6511 [2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] shoe : 0.4558 0.6083 [2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] computer tower : 0.4932 0.7852 [2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] bottle : 0.1004 0.1840 [2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] ottoman : 0.2774 0.2919 [2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] bench : 0.3447 0.4628 [2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] board : 0.1374 0.2662 [2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] washing machine: 0.8456 0.9190 [2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] mirror : 0.3620 0.4989 [2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] copier : 0.8433 0.9016 [2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] sofa chair : 0.1454 0.1873 [2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] file cabinet : 0.4371 0.5419 [2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] fan : 0.3507 0.6093 [2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] laptop : 0.4249 0.6697 [2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] shower : 0.3403 0.4115 [2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] paper : 0.0220 0.0255 [2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] person : 0.2440 0.6148 [2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] paper towel dispenser: 0.7086 0.7980 [2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] oven : 0.0651 0.0729 [2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] blackboard : 0.5836 0.6345 [2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] piano : 0.4451 0.7649 [2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] suitcase : 0.5138 0.5757 [2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] rail : 0.0322 0.0407 [2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] radiator : 0.5937 0.6956 [2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] recycling bin : 0.4853 0.6727 [2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] container : 0.0066 0.0092 [2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] wardrobe : 0.1122 0.1204 [2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] soap dispenser : 0.6477 0.8289 [2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] telephone : 0.3129 0.5038 [2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] bucket : 0.2404 0.2746 [2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] clock : 0.2054 0.2611 [2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] stand : 0.0003 0.0019 [2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] light : 0.0446 0.0668 [2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 [2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] pipe : 0.0300 0.0557 [2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] clothes dryer : 0.1924 0.1997 [2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] guitar : 0.5609 0.9145 [2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] seat : 0.0328 0.0424 [2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] column : 0.0001 0.0002 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] ladder : 0.5056 0.6421 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] bathroom stall : 0.4517 0.7840 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] shower wall : 0.4472 0.5214 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] cup : 0.2332 0.3602 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] jacket : 0.1558 0.2180 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] storage bin : 0.0018 0.0018 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] coffee maker : 0.6121 0.9169 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] dishwasher : 0.2234 0.3071 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] paper towel roll: 0.2205 0.2407 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] mat : 0.1115 0.1126 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] windowsill : 0.1874 0.2264 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] bar : 0.1248 0.1834 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] toaster : 0.1166 0.1857 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] bulletin board : 0.0760 0.1014 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] ironing board : 0.0346 0.0429 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] fireplace : 0.6159 0.6799 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] soap dish : 0.3249 0.4558 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] kitchen counter: 0.4267 0.4816 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] doorframe : 0.3572 0.5542 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4532 0.5403 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] mini fridge : 0.2898 0.2971 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] fire extinguisher: 0.1563 0.1587 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] ball : 0.3763 0.6213 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] shower curtain rod: 0.4319 0.7788 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] water cooler : 0.7691 0.8082 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] paper cutter : 0.2147 0.2509 [2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] tray : 0.0108 0.0137 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] shower door : 0.2261 0.2756 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] pillar : 0.0522 0.0632 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] ledge : 0.0504 0.0667 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] toaster oven : 0.0262 0.0268 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] mouse : 0.0532 0.6228 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6881 0.8777 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] cart : 0.2151 0.2585 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] scale : 0.3832 0.9237 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] tissue box : 0.1105 0.1211 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] light switch : 0.0793 0.1810 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] power outlet : 0.1025 0.1227 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] decoration : 0.0978 0.1682 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] closet door : 0.2231 0.6756 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] vacuum cleaner : 0.8852 0.9176 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] plunger : 0.4171 0.9511 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] dish rack : 0.6774 0.8981 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] broom : 0.0391 0.0448 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] range hood : 0.7323 0.8456 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] dustpan : 0.0431 0.1518 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] handicap bar : 0.0615 0.8150 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] shower floor : 0.0015 0.0017 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] mailbox : 0.0511 0.0511 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] bowl : 0.0569 0.0846 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] paper bag : 0.0924 0.1345 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] projector screen: 0.0020 0.0022 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] divider : 0.4879 0.5932 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] bathroom counter: 0.3369 0.4517 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] object : 0.0298 0.0482 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] bathroom vanity: 0.4916 0.7366 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] closet wall : 0.1114 0.1610 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] laundry hamper : 0.1278 0.2186 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] bathroom stall door: 0.5258 0.5449 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] ceiling light : 0.3816 0.4942 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] trash bin : 0.2301 0.3485 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] dumbbell : 0.6552 0.9592 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] stair rail : 0.1756 0.2298 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] tube : 0.0739 0.0857 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] bathroom cabinet: 0.3156 0.4796 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] closet rod : 0.4594 0.9030 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] shower head : 0.2742 0.3128 [2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 04:04:52,635 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 04:04:52,635 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 04:04:52,635 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 04:04:52,635 INFO hook.py line 689 2389709] folded chair : 0.0106 0.0280 [2025-03-11 04:04:52,635 INFO hook.py line 689 2389709] fire alarm : 0.1510 0.8810 [2025-03-11 04:04:52,635 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 04:04:52,635 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 04:04:52,635 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 04:04:52,635 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 04:04:52,635 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 04:04:52,635 INFO hook.py line 689 2389709] mattress : 0.0052 0.0054 [2025-03-11 04:04:52,635 INFO hook.py line 690 2389709] ######################################## [2025-03-11 04:04:52,635 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2868/0.3865/0.8015. [2025-03-11 04:04:52,635 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 04:04:52,650 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 [2025-03-11 04:04:52,650 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 04:05:23,217 INFO hook.py line 566 2389709] Train: [52/100][50/300] Data 0.002 (0.003) Batch 0.455 (0.494) Remain 02:00:44 loss: 0.7546 Lr: 2.61154e-03 [2025-03-11 04:05:47,746 INFO hook.py line 566 2389709] Train: [52/100][100/300] Data 0.002 (0.002) Batch 0.447 (0.492) Remain 01:59:50 loss: 0.8553 Lr: 2.59777e-03 [2025-03-11 04:06:12,516 INFO hook.py line 566 2389709] Train: [52/100][150/300] Data 0.002 (0.002) Batch 0.502 (0.493) Remain 01:59:39 loss: 0.9492 Lr: 2.58400e-03 [2025-03-11 04:06:37,625 INFO hook.py line 566 2389709] Train: [52/100][200/300] Data 0.003 (0.002) Batch 0.536 (0.496) Remain 01:59:47 loss: 0.8105 Lr: 2.57023e-03 [2025-03-11 04:07:02,558 INFO hook.py line 566 2389709] Train: [52/100][250/300] Data 0.002 (0.002) Batch 0.593 (0.496) Remain 01:59:31 loss: 0.7326 Lr: 2.55646e-03 [2025-03-11 04:07:26,567 INFO hook.py line 566 2389709] Train: [52/100][300/300] Data 0.002 (0.002) Batch 0.446 (0.494) Remain 01:58:27 loss: 0.5744 Lr: 2.54268e-03 [2025-03-11 04:07:26,568 INFO misc.py line 135 2389709] Train result: loss: 0.6959 [2025-03-11 04:07:26,662 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 04:08:21,427 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4113 [2025-03-11 04:08:21,496 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3281 [2025-03-11 04:08:21,543 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.8029 [2025-03-11 04:08:21,592 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4429 [2025-03-11 04:08:21,640 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9005 [2025-03-11 04:08:21,700 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2124 [2025-03-11 04:08:21,755 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8834 [2025-03-11 04:08:21,787 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4486 [2025-03-11 04:08:21,836 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1752 [2025-03-11 04:08:21,878 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.4299 [2025-03-11 04:08:21,925 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2086 [2025-03-11 04:08:21,961 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.9850 [2025-03-11 04:08:22,010 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.9008 [2025-03-11 04:08:22,055 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.1553 [2025-03-11 04:08:22,101 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.9829 [2025-03-11 04:08:22,154 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.3371 [2025-03-11 04:08:22,192 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3879 [2025-03-11 04:08:22,235 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.7563 [2025-03-11 04:08:22,287 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5414 [2025-03-11 04:08:22,324 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6863 [2025-03-11 04:08:22,360 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7265 [2025-03-11 04:08:22,404 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8215 [2025-03-11 04:08:22,435 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3377 [2025-03-11 04:08:22,485 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1209 [2025-03-11 04:08:22,529 INFO hook.py line 748 2389709] Test: [25/78] Loss 2.1877 [2025-03-11 04:08:22,579 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5801 [2025-03-11 04:08:22,634 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9383 [2025-03-11 04:08:22,671 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6319 [2025-03-11 04:08:22,702 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0884 [2025-03-11 04:08:22,765 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.8190 [2025-03-11 04:08:22,824 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5385 [2025-03-11 04:08:22,862 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1931 [2025-03-11 04:08:22,924 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.9040 [2025-03-11 04:08:22,968 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.5284 [2025-03-11 04:08:23,008 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3031 [2025-03-11 04:08:23,054 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4599 [2025-03-11 04:08:23,095 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.0130 [2025-03-11 04:08:23,125 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8960 [2025-03-11 04:08:23,192 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.3311 [2025-03-11 04:08:23,242 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.2584 [2025-03-11 04:08:23,295 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2953 [2025-03-11 04:08:23,332 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4603 [2025-03-11 04:08:23,374 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3620 [2025-03-11 04:08:23,431 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0396 [2025-03-11 04:08:23,476 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.8481 [2025-03-11 04:08:23,525 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0750 [2025-03-11 04:08:23,566 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.4700 [2025-03-11 04:08:23,600 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1709 [2025-03-11 04:08:23,632 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.0953 [2025-03-11 04:08:23,666 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8217 [2025-03-11 04:08:23,698 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.1619 [2025-03-11 04:08:23,732 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.4790 [2025-03-11 04:08:23,761 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3708 [2025-03-11 04:08:23,800 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.0881 [2025-03-11 04:08:23,851 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.0545 [2025-03-11 04:08:23,896 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8101 [2025-03-11 04:08:23,931 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.2150 [2025-03-11 04:08:23,960 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1826 [2025-03-11 04:08:23,998 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.6551 [2025-03-11 04:08:24,034 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.8972 [2025-03-11 04:08:24,061 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9311 [2025-03-11 04:08:24,097 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.4640 [2025-03-11 04:08:24,134 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.4938 [2025-03-11 04:08:24,195 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6153 [2025-03-11 04:08:24,223 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1208 [2025-03-11 04:08:24,268 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.2319 [2025-03-11 04:08:24,307 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0905 [2025-03-11 04:08:24,344 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1025 [2025-03-11 04:08:24,375 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3191 [2025-03-11 04:08:24,438 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.9681 [2025-03-11 04:08:24,486 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5782 [2025-03-11 04:08:24,541 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6405 [2025-03-11 04:08:24,594 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.8708 [2025-03-11 04:08:24,639 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.3006 [2025-03-11 04:08:24,692 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6280 [2025-03-11 04:08:24,721 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.8152 [2025-03-11 04:08:24,780 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5872 [2025-03-11 04:08:24,806 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.1855 [2025-03-11 04:08:26,183 INFO hook.py line 674 2389709] ######################################## [2025-03-11 04:08:26,184 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 04:08:26,184 INFO hook.py line 680 2389709] ######################################## [2025-03-11 04:08:26,184 INFO hook.py line 689 2389709] wall : 0.7810 0.8845 [2025-03-11 04:08:26,184 INFO hook.py line 689 2389709] chair : 0.6543 0.7759 [2025-03-11 04:08:26,184 INFO hook.py line 689 2389709] floor : 0.9558 0.9825 [2025-03-11 04:08:26,184 INFO hook.py line 689 2389709] table : 0.6253 0.7453 [2025-03-11 04:08:26,184 INFO hook.py line 689 2389709] door : 0.6193 0.7530 [2025-03-11 04:08:26,184 INFO hook.py line 689 2389709] couch : 0.7847 0.8953 [2025-03-11 04:08:26,184 INFO hook.py line 689 2389709] cabinet : 0.3227 0.5807 [2025-03-11 04:08:26,184 INFO hook.py line 689 2389709] shelf : 0.2696 0.3387 [2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] desk : 0.5353 0.8452 [2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] office chair : 0.2984 0.6667 [2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] bed : 0.7690 0.8612 [2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] pillow : 0.5584 0.7785 [2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] sink : 0.6344 0.7347 [2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] picture : 0.3692 0.5199 [2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] window : 0.5501 0.7442 [2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] toilet : 0.9210 0.9732 [2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] bookshelf : 0.4768 0.7643 [2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] monitor : 0.8106 0.8549 [2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] curtain : 0.6658 0.8589 [2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] book : 0.4433 0.6563 [2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] armchair : 0.5092 0.6895 [2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] coffee table : 0.6344 0.7060 [2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] box : 0.2823 0.3258 [2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] refrigerator : 0.6624 0.6901 [2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] lamp : 0.6702 0.8261 [2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] kitchen cabinet: 0.6449 0.7194 [2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] towel : 0.4836 0.5827 [2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] clothes : 0.1868 0.3521 [2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] tv : 0.7288 0.9266 [2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] nightstand : 0.6336 0.8388 [2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] counter : 0.2228 0.4380 [2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] dresser : 0.3020 0.4074 [2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] stool : 0.4509 0.6965 [2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] plant : 0.7387 0.8688 [2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] ceiling : 0.9262 0.9780 [2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] bathtub : 0.8818 0.9087 [2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] end table : 0.1503 0.2274 [2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 [2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] keyboard : 0.3889 0.4814 [2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] bag : 0.2583 0.3726 [2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] backpack : 0.5584 0.7202 [2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] toilet paper : 0.4353 0.5990 [2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] printer : 0.3855 0.5441 [2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] tv stand : 0.4517 0.5552 [2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] whiteboard : 0.4278 0.7735 [2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] blanket : 0.0480 0.0619 [2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] shower curtain : 0.5084 0.5707 [2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] trash can : 0.6243 0.7816 [2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] closet : 0.1452 0.2237 [2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] stairs : 0.6331 0.7413 [2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] microwave : 0.4611 0.4910 [2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] stove : 0.6620 0.8935 [2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] shoe : 0.4269 0.7779 [2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] computer tower : 0.5470 0.8031 [2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] bottle : 0.1640 0.3959 [2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] bin : 0.0005 0.0005 [2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] ottoman : 0.3318 0.3758 [2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] bench : 0.1383 0.1451 [2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] board : 0.1651 0.3964 [2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] washing machine: 0.8137 0.9310 [2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] mirror : 0.3001 0.3541 [2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] copier : 0.7739 0.8727 [2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] sofa chair : 0.0787 0.1040 [2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] file cabinet : 0.3927 0.5912 [2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] fan : 0.3674 0.4947 [2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] laptop : 0.4705 0.5630 [2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] shower : 0.3283 0.5384 [2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] paper : 0.0725 0.1064 [2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] person : 0.1936 0.6575 [2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] paper towel dispenser: 0.5473 0.7185 [2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] oven : 0.1053 0.1276 [2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] blackboard : 0.4720 0.7504 [2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] piano : 0.6238 0.6846 [2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] suitcase : 0.6247 0.7215 [2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] rail : 0.0205 0.0213 [2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] radiator : 0.5529 0.7350 [2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] recycling bin : 0.4731 0.6499 [2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] wardrobe : 0.1277 0.1549 [2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] soap dispenser : 0.7789 0.8465 [2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] telephone : 0.3285 0.5743 [2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] bucket : 0.3901 0.8457 [2025-03-11 04:08:26,190 INFO hook.py line 689 2389709] clock : 0.1890 0.2271 [2025-03-11 04:08:26,190 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 04:08:26,190 INFO hook.py line 689 2389709] light : 0.0470 0.0566 [2025-03-11 04:08:26,190 INFO hook.py line 689 2389709] laundry basket : 0.0762 0.0871 [2025-03-11 04:08:26,190 INFO hook.py line 689 2389709] pipe : 0.1635 0.2548 [2025-03-11 04:08:26,190 INFO hook.py line 689 2389709] clothes dryer : 0.4720 0.4782 [2025-03-11 04:08:26,190 INFO hook.py line 689 2389709] guitar : 0.4717 0.8502 [2025-03-11 04:08:26,190 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 04:08:26,190 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 04:08:26,190 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 04:08:26,190 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 04:08:26,190 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] ladder : 0.3177 0.6309 [2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] bathroom stall : 0.4418 0.5117 [2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] shower wall : 0.4907 0.6263 [2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] cup : 0.1404 0.2515 [2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] jacket : 0.1629 0.2213 [2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] storage bin : 0.0329 0.0995 [2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] coffee maker : 0.8905 0.9843 [2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] dishwasher : 0.1955 0.2215 [2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] paper towel roll: 0.1741 0.1789 [2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] mat : 0.1354 0.1457 [2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] windowsill : 0.1787 0.2015 [2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] bar : 0.1347 0.1857 [2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] toaster : 0.3196 0.4522 [2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] bulletin board : 0.3077 0.3588 [2025-03-11 04:08:26,192 INFO hook.py line 689 2389709] ironing board : 0.0438 0.0500 [2025-03-11 04:08:26,192 INFO hook.py line 689 2389709] fireplace : 0.6663 0.7094 [2025-03-11 04:08:26,192 INFO hook.py line 689 2389709] soap dish : 0.3369 0.4846 [2025-03-11 04:08:26,192 INFO hook.py line 689 2389709] kitchen counter: 0.4642 0.5450 [2025-03-11 04:08:26,192 INFO hook.py line 689 2389709] doorframe : 0.3970 0.5745 [2025-03-11 04:08:26,192 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3434 0.4102 [2025-03-11 04:08:26,192 INFO hook.py line 689 2389709] mini fridge : 0.3100 0.3970 [2025-03-11 04:08:26,192 INFO hook.py line 689 2389709] fire extinguisher: 0.0022 0.0045 [2025-03-11 04:08:26,192 INFO hook.py line 689 2389709] ball : 0.3057 0.9636 [2025-03-11 04:08:26,192 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 04:08:26,192 INFO hook.py line 689 2389709] shower curtain rod: 0.3046 0.7711 [2025-03-11 04:08:26,192 INFO hook.py line 689 2389709] water cooler : 0.5346 0.7927 [2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] paper cutter : 0.2146 0.2535 [2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] tray : 0.0024 0.0090 [2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] shower door : 0.1968 0.2063 [2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] ledge : 0.0220 0.0231 [2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] mouse : 0.0831 0.2996 [2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5262 0.5933 [2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] cart : 0.0197 0.0202 [2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] scale : 0.3889 0.9521 [2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] tissue box : 0.1592 0.2469 [2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] light switch : 0.0541 0.0926 [2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] power outlet : 0.1694 0.2490 [2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] decoration : 0.1801 0.6354 [2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] projector : 0.3322 0.9949 [2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] closet door : 0.1558 0.1743 [2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] vacuum cleaner : 0.7027 0.9888 [2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] plunger : 0.3288 0.9417 [2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] headphones : 0.0014 0.0017 [2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] dish rack : 0.6504 0.8981 [2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] broom : 0.0301 0.0433 [2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] range hood : 0.7484 0.9310 [2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] dustpan : 0.0848 0.1868 [2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] hair dryer : 0.0028 0.0060 [2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] water bottle : 0.0342 0.1865 [2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] handicap bar : 0.0358 0.5917 [2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] shower floor : 0.7329 0.9751 [2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] mailbox : 0.3793 0.4961 [2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] bowl : 0.0088 0.0101 [2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] paper bag : 0.0126 0.0157 [2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] projector screen: 0.0168 0.0196 [2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] divider : 0.3992 0.4404 [2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] bathroom counter: 0.1320 0.1369 [2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] object : 0.0290 0.0494 [2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] bathroom vanity: 0.5013 0.8928 [2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] closet wall : 0.0740 0.0931 [2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] laundry hamper : 0.1536 0.2104 [2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] bathroom stall door: 0.5642 0.6720 [2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] ceiling light : 0.3849 0.5103 [2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] trash bin : 0.1377 0.1825 [2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] dumbbell : 0.1851 0.9689 [2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] stair rail : 0.1056 0.1169 [2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] tube : 0.0923 0.1857 [2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] bathroom cabinet: 0.0317 0.0331 [2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] closet rod : 0.2150 0.7210 [2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] coffee kettle : 0.0049 0.0061 [2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] shower head : 0.2575 0.3290 [2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] case of water bottles: 0.0342 0.0345 [2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] coat rack : 0.0227 0.2584 [2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 04:08:26,197 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 [2025-03-11 04:08:26,197 INFO hook.py line 690 2389709] ######################################## [2025-03-11 04:08:26,197 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2820/0.3938/0.8023. [2025-03-11 04:08:26,198 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 04:08:26,214 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 [2025-03-11 04:08:26,214 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 04:08:57,032 INFO hook.py line 566 2389709] Train: [53/100][50/300] Data 0.003 (0.002) Batch 0.488 (0.499) Remain 01:59:19 loss: 0.6835 Lr: 2.52891e-03 [2025-03-11 04:09:21,672 INFO hook.py line 566 2389709] Train: [53/100][100/300] Data 0.002 (0.002) Batch 0.454 (0.496) Remain 01:58:09 loss: 0.7373 Lr: 2.51513e-03 [2025-03-11 04:09:46,190 INFO hook.py line 566 2389709] Train: [53/100][150/300] Data 0.002 (0.002) Batch 0.489 (0.494) Remain 01:57:18 loss: 0.5268 Lr: 2.50135e-03 [2025-03-11 04:10:10,882 INFO hook.py line 566 2389709] Train: [53/100][200/300] Data 0.002 (0.002) Batch 0.468 (0.494) Remain 01:56:53 loss: 0.4609 Lr: 2.48757e-03 [2025-03-11 04:10:35,472 INFO hook.py line 566 2389709] Train: [53/100][250/300] Data 0.002 (0.002) Batch 0.467 (0.493) Remain 01:56:22 loss: 0.7542 Lr: 2.47380e-03 [2025-03-11 04:10:59,837 INFO hook.py line 566 2389709] Train: [53/100][300/300] Data 0.001 (0.002) Batch 0.394 (0.492) Remain 01:55:43 loss: 0.7551 Lr: 2.46002e-03 [2025-03-11 04:10:59,838 INFO misc.py line 135 2389709] Train result: loss: 0.7033 [2025-03-11 04:10:59,934 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 04:11:56,206 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4500 [2025-03-11 04:11:56,264 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.1204 [2025-03-11 04:11:56,303 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6651 [2025-03-11 04:11:56,355 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5109 [2025-03-11 04:11:56,399 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0091 [2025-03-11 04:11:56,455 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8560 [2025-03-11 04:11:56,510 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7915 [2025-03-11 04:11:56,539 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3313 [2025-03-11 04:11:56,589 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.4352 [2025-03-11 04:11:56,625 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1452 [2025-03-11 04:11:56,672 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2362 [2025-03-11 04:11:56,707 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.7646 [2025-03-11 04:11:56,756 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.8886 [2025-03-11 04:11:56,795 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.7620 [2025-03-11 04:11:56,832 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.9077 [2025-03-11 04:11:56,883 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1548 [2025-03-11 04:11:56,921 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1711 [2025-03-11 04:11:56,966 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9513 [2025-03-11 04:11:57,013 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.3510 [2025-03-11 04:11:57,052 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6812 [2025-03-11 04:11:57,087 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7108 [2025-03-11 04:11:57,128 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6357 [2025-03-11 04:11:57,165 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3942 [2025-03-11 04:11:57,221 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9035 [2025-03-11 04:11:57,264 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.6668 [2025-03-11 04:11:57,308 INFO hook.py line 748 2389709] Test: [26/78] Loss 1.9208 [2025-03-11 04:11:57,365 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.5647 [2025-03-11 04:11:57,408 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5311 [2025-03-11 04:11:57,436 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0018 [2025-03-11 04:11:57,498 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.1260 [2025-03-11 04:11:57,559 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5802 [2025-03-11 04:11:57,594 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2668 [2025-03-11 04:11:57,652 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.4453 [2025-03-11 04:11:57,701 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.1070 [2025-03-11 04:11:57,740 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.7785 [2025-03-11 04:11:57,782 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2987 [2025-03-11 04:11:57,823 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.5491 [2025-03-11 04:11:57,853 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7391 [2025-03-11 04:11:57,919 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.0460 [2025-03-11 04:11:57,968 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4212 [2025-03-11 04:11:58,013 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1513 [2025-03-11 04:11:58,046 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4344 [2025-03-11 04:11:58,086 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1559 [2025-03-11 04:11:58,144 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9384 [2025-03-11 04:11:58,178 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.6681 [2025-03-11 04:11:58,229 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9879 [2025-03-11 04:11:58,270 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8342 [2025-03-11 04:11:58,304 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9465 [2025-03-11 04:11:58,336 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3180 [2025-03-11 04:11:58,369 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.9191 [2025-03-11 04:11:58,401 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2593 [2025-03-11 04:11:58,435 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.4942 [2025-03-11 04:11:58,462 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.9848 [2025-03-11 04:11:58,501 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.0862 [2025-03-11 04:11:58,540 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3593 [2025-03-11 04:11:58,585 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.3822 [2025-03-11 04:11:58,619 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.8603 [2025-03-11 04:11:58,648 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9669 [2025-03-11 04:11:58,686 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8888 [2025-03-11 04:11:58,722 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7401 [2025-03-11 04:11:58,749 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9601 [2025-03-11 04:11:58,784 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0757 [2025-03-11 04:11:58,821 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2579 [2025-03-11 04:11:58,882 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8095 [2025-03-11 04:11:58,910 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4252 [2025-03-11 04:11:58,954 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7104 [2025-03-11 04:11:58,993 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0011 [2025-03-11 04:11:59,030 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1744 [2025-03-11 04:11:59,062 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3386 [2025-03-11 04:11:59,124 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7507 [2025-03-11 04:11:59,172 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.6180 [2025-03-11 04:11:59,226 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5825 [2025-03-11 04:11:59,280 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5692 [2025-03-11 04:11:59,325 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.1380 [2025-03-11 04:11:59,377 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6118 [2025-03-11 04:11:59,405 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.6943 [2025-03-11 04:11:59,464 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7483 [2025-03-11 04:11:59,493 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8066 [2025-03-11 04:12:00,755 INFO hook.py line 674 2389709] ######################################## [2025-03-11 04:12:00,756 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 04:12:00,756 INFO hook.py line 680 2389709] ######################################## [2025-03-11 04:12:00,756 INFO hook.py line 689 2389709] wall : 0.7862 0.9147 [2025-03-11 04:12:00,756 INFO hook.py line 689 2389709] chair : 0.7089 0.8961 [2025-03-11 04:12:00,756 INFO hook.py line 689 2389709] floor : 0.9578 0.9746 [2025-03-11 04:12:00,756 INFO hook.py line 689 2389709] table : 0.6068 0.7174 [2025-03-11 04:12:00,757 INFO hook.py line 689 2389709] door : 0.6380 0.8043 [2025-03-11 04:12:00,757 INFO hook.py line 689 2389709] couch : 0.7854 0.9038 [2025-03-11 04:12:00,757 INFO hook.py line 689 2389709] cabinet : 0.3315 0.5716 [2025-03-11 04:12:00,757 INFO hook.py line 689 2389709] shelf : 0.3844 0.5042 [2025-03-11 04:12:00,757 INFO hook.py line 689 2389709] desk : 0.5474 0.7590 [2025-03-11 04:12:00,757 INFO hook.py line 689 2389709] office chair : 0.2122 0.2974 [2025-03-11 04:12:00,757 INFO hook.py line 689 2389709] bed : 0.7465 0.7924 [2025-03-11 04:12:00,757 INFO hook.py line 689 2389709] pillow : 0.5212 0.8134 [2025-03-11 04:12:00,757 INFO hook.py line 689 2389709] sink : 0.6318 0.7912 [2025-03-11 04:12:00,757 INFO hook.py line 689 2389709] picture : 0.3619 0.5056 [2025-03-11 04:12:00,758 INFO hook.py line 689 2389709] window : 0.5793 0.6988 [2025-03-11 04:12:00,758 INFO hook.py line 689 2389709] toilet : 0.9055 0.9487 [2025-03-11 04:12:00,758 INFO hook.py line 689 2389709] bookshelf : 0.4690 0.6162 [2025-03-11 04:12:00,758 INFO hook.py line 689 2389709] monitor : 0.8367 0.9416 [2025-03-11 04:12:00,758 INFO hook.py line 689 2389709] curtain : 0.6727 0.8518 [2025-03-11 04:12:00,758 INFO hook.py line 689 2389709] book : 0.4222 0.7902 [2025-03-11 04:12:00,758 INFO hook.py line 689 2389709] armchair : 0.3381 0.3942 [2025-03-11 04:12:00,758 INFO hook.py line 689 2389709] coffee table : 0.7382 0.8376 [2025-03-11 04:12:00,758 INFO hook.py line 689 2389709] box : 0.2955 0.4780 [2025-03-11 04:12:00,758 INFO hook.py line 689 2389709] refrigerator : 0.5938 0.8027 [2025-03-11 04:12:00,758 INFO hook.py line 689 2389709] lamp : 0.6655 0.7951 [2025-03-11 04:12:00,759 INFO hook.py line 689 2389709] kitchen cabinet: 0.5800 0.6825 [2025-03-11 04:12:00,759 INFO hook.py line 689 2389709] towel : 0.4527 0.7274 [2025-03-11 04:12:00,759 INFO hook.py line 689 2389709] clothes : 0.1758 0.4140 [2025-03-11 04:12:00,759 INFO hook.py line 689 2389709] tv : 0.8398 0.8973 [2025-03-11 04:12:00,759 INFO hook.py line 689 2389709] nightstand : 0.6799 0.7741 [2025-03-11 04:12:00,759 INFO hook.py line 689 2389709] counter : 0.2139 0.3218 [2025-03-11 04:12:00,759 INFO hook.py line 689 2389709] dresser : 0.3864 0.5341 [2025-03-11 04:12:00,759 INFO hook.py line 689 2389709] stool : 0.5023 0.5916 [2025-03-11 04:12:00,759 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 04:12:00,759 INFO hook.py line 689 2389709] plant : 0.6743 0.8938 [2025-03-11 04:12:00,759 INFO hook.py line 689 2389709] ceiling : 0.9221 0.9524 [2025-03-11 04:12:00,760 INFO hook.py line 689 2389709] bathtub : 0.8703 0.9107 [2025-03-11 04:12:00,760 INFO hook.py line 689 2389709] end table : 0.1659 0.3170 [2025-03-11 04:12:00,760 INFO hook.py line 689 2389709] dining table : 0.0946 0.1703 [2025-03-11 04:12:00,760 INFO hook.py line 689 2389709] keyboard : 0.3987 0.6254 [2025-03-11 04:12:00,760 INFO hook.py line 689 2389709] bag : 0.1083 0.1935 [2025-03-11 04:12:00,760 INFO hook.py line 689 2389709] backpack : 0.5733 0.6708 [2025-03-11 04:12:00,760 INFO hook.py line 689 2389709] toilet paper : 0.3981 0.4465 [2025-03-11 04:12:00,760 INFO hook.py line 689 2389709] printer : 0.4080 0.6217 [2025-03-11 04:12:00,760 INFO hook.py line 689 2389709] tv stand : 0.4645 0.6379 [2025-03-11 04:12:00,760 INFO hook.py line 689 2389709] whiteboard : 0.4981 0.6797 [2025-03-11 04:12:00,760 INFO hook.py line 689 2389709] blanket : 0.0167 0.0327 [2025-03-11 04:12:00,761 INFO hook.py line 689 2389709] shower curtain : 0.5943 0.7255 [2025-03-11 04:12:00,761 INFO hook.py line 689 2389709] trash can : 0.5841 0.8339 [2025-03-11 04:12:00,761 INFO hook.py line 689 2389709] closet : 0.0925 0.1152 [2025-03-11 04:12:00,761 INFO hook.py line 689 2389709] stairs : 0.4343 0.5178 [2025-03-11 04:12:00,761 INFO hook.py line 689 2389709] microwave : 0.4807 0.7840 [2025-03-11 04:12:00,761 INFO hook.py line 689 2389709] stove : 0.5457 0.6810 [2025-03-11 04:12:00,761 INFO hook.py line 689 2389709] shoe : 0.3574 0.4121 [2025-03-11 04:12:00,762 INFO hook.py line 689 2389709] computer tower : 0.6362 0.7417 [2025-03-11 04:12:00,762 INFO hook.py line 689 2389709] bottle : 0.1118 0.2798 [2025-03-11 04:12:00,762 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 04:12:00,762 INFO hook.py line 689 2389709] ottoman : 0.2424 0.2785 [2025-03-11 04:12:00,762 INFO hook.py line 689 2389709] bench : 0.3591 0.4148 [2025-03-11 04:12:00,762 INFO hook.py line 689 2389709] board : 0.1697 0.2522 [2025-03-11 04:12:00,762 INFO hook.py line 689 2389709] washing machine: 0.8394 0.8683 [2025-03-11 04:12:00,762 INFO hook.py line 689 2389709] mirror : 0.3600 0.4564 [2025-03-11 04:12:00,762 INFO hook.py line 689 2389709] copier : 0.8103 0.8413 [2025-03-11 04:12:00,762 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 04:12:00,762 INFO hook.py line 689 2389709] sofa chair : 0.0818 0.1596 [2025-03-11 04:12:00,763 INFO hook.py line 689 2389709] file cabinet : 0.4851 0.6675 [2025-03-11 04:12:00,763 INFO hook.py line 689 2389709] fan : 0.3022 0.3642 [2025-03-11 04:12:00,763 INFO hook.py line 689 2389709] laptop : 0.4263 0.7030 [2025-03-11 04:12:00,763 INFO hook.py line 689 2389709] shower : 0.3016 0.3646 [2025-03-11 04:12:00,763 INFO hook.py line 689 2389709] paper : 0.0167 0.0209 [2025-03-11 04:12:00,763 INFO hook.py line 689 2389709] person : 0.3708 0.4575 [2025-03-11 04:12:00,763 INFO hook.py line 689 2389709] paper towel dispenser: 0.5931 0.7039 [2025-03-11 04:12:00,763 INFO hook.py line 689 2389709] oven : 0.0285 0.0676 [2025-03-11 04:12:00,763 INFO hook.py line 689 2389709] blinds : 0.0005 0.0006 [2025-03-11 04:12:00,763 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 04:12:00,764 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 04:12:00,764 INFO hook.py line 689 2389709] blackboard : 0.5792 0.6930 [2025-03-11 04:12:00,764 INFO hook.py line 689 2389709] piano : 0.7759 0.7919 [2025-03-11 04:12:00,764 INFO hook.py line 689 2389709] suitcase : 0.5291 0.5390 [2025-03-11 04:12:00,764 INFO hook.py line 689 2389709] rail : 0.0229 0.0250 [2025-03-11 04:12:00,764 INFO hook.py line 689 2389709] radiator : 0.5104 0.7148 [2025-03-11 04:12:00,764 INFO hook.py line 689 2389709] recycling bin : 0.4884 0.6047 [2025-03-11 04:12:00,764 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 04:12:00,764 INFO hook.py line 689 2389709] wardrobe : 0.0817 0.0896 [2025-03-11 04:12:00,764 INFO hook.py line 689 2389709] soap dispenser : 0.7126 0.8605 [2025-03-11 04:12:00,764 INFO hook.py line 689 2389709] telephone : 0.1613 0.5102 [2025-03-11 04:12:00,765 INFO hook.py line 689 2389709] bucket : 0.1038 0.1078 [2025-03-11 04:12:00,765 INFO hook.py line 689 2389709] clock : 0.2267 0.2892 [2025-03-11 04:12:00,765 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 04:12:00,765 INFO hook.py line 689 2389709] light : 0.0289 0.0390 [2025-03-11 04:12:00,765 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 [2025-03-11 04:12:00,765 INFO hook.py line 689 2389709] pipe : 0.0530 0.0646 [2025-03-11 04:12:00,765 INFO hook.py line 689 2389709] clothes dryer : 0.4830 0.5271 [2025-03-11 04:12:00,765 INFO hook.py line 689 2389709] guitar : 0.3140 0.9150 [2025-03-11 04:12:00,765 INFO hook.py line 689 2389709] toilet paper holder: 0.0288 0.0368 [2025-03-11 04:12:00,765 INFO hook.py line 689 2389709] seat : 0.0185 0.0208 [2025-03-11 04:12:00,765 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 04:12:00,766 INFO hook.py line 689 2389709] column : 0.0364 0.0393 [2025-03-11 04:12:00,766 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 04:12:00,766 INFO hook.py line 689 2389709] ladder : 0.3499 0.3986 [2025-03-11 04:12:00,766 INFO hook.py line 689 2389709] bathroom stall : 0.4300 0.6136 [2025-03-11 04:12:00,766 INFO hook.py line 689 2389709] shower wall : 0.5162 0.6911 [2025-03-11 04:12:00,766 INFO hook.py line 689 2389709] cup : 0.1616 0.4763 [2025-03-11 04:12:00,766 INFO hook.py line 689 2389709] jacket : 0.1130 0.1322 [2025-03-11 04:12:00,766 INFO hook.py line 689 2389709] storage bin : 0.0102 0.0105 [2025-03-11 04:12:00,766 INFO hook.py line 689 2389709] coffee maker : 0.4349 0.9952 [2025-03-11 04:12:00,766 INFO hook.py line 689 2389709] dishwasher : 0.2261 0.5484 [2025-03-11 04:12:00,766 INFO hook.py line 689 2389709] paper towel roll: 0.2750 0.3714 [2025-03-11 04:12:00,767 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 04:12:00,767 INFO hook.py line 689 2389709] mat : 0.1890 0.2128 [2025-03-11 04:12:00,767 INFO hook.py line 689 2389709] windowsill : 0.0705 0.0718 [2025-03-11 04:12:00,767 INFO hook.py line 689 2389709] bar : 0.1452 0.3633 [2025-03-11 04:12:00,767 INFO hook.py line 689 2389709] toaster : 0.0330 0.0452 [2025-03-11 04:12:00,767 INFO hook.py line 689 2389709] bulletin board : 0.0988 0.1275 [2025-03-11 04:12:00,767 INFO hook.py line 689 2389709] ironing board : 0.1056 0.1178 [2025-03-11 04:12:00,767 INFO hook.py line 689 2389709] fireplace : 0.5722 0.5940 [2025-03-11 04:12:00,767 INFO hook.py line 689 2389709] soap dish : 0.2443 0.5712 [2025-03-11 04:12:00,767 INFO hook.py line 689 2389709] kitchen counter: 0.4619 0.5671 [2025-03-11 04:12:00,767 INFO hook.py line 689 2389709] doorframe : 0.3789 0.6873 [2025-03-11 04:12:00,768 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4513 0.5982 [2025-03-11 04:12:00,768 INFO hook.py line 689 2389709] mini fridge : 0.4546 0.5615 [2025-03-11 04:12:00,768 INFO hook.py line 689 2389709] fire extinguisher: 0.1081 0.2282 [2025-03-11 04:12:00,768 INFO hook.py line 689 2389709] ball : 0.3690 0.9419 [2025-03-11 04:12:00,768 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 04:12:00,768 INFO hook.py line 689 2389709] shower curtain rod: 0.3496 0.7131 [2025-03-11 04:12:00,768 INFO hook.py line 689 2389709] water cooler : 0.5200 0.9516 [2025-03-11 04:12:00,768 INFO hook.py line 689 2389709] paper cutter : 0.2369 0.4972 [2025-03-11 04:12:00,768 INFO hook.py line 689 2389709] tray : 0.0459 0.0614 [2025-03-11 04:12:00,768 INFO hook.py line 689 2389709] shower door : 0.1205 0.1226 [2025-03-11 04:12:00,768 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 04:12:00,769 INFO hook.py line 689 2389709] ledge : 0.0350 0.0455 [2025-03-11 04:12:00,769 INFO hook.py line 689 2389709] toaster oven : 0.0032 0.0032 [2025-03-11 04:12:00,769 INFO hook.py line 689 2389709] mouse : 0.0678 0.5088 [2025-03-11 04:12:00,769 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5533 0.9025 [2025-03-11 04:12:00,769 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 04:12:00,769 INFO hook.py line 689 2389709] cart : 0.0798 0.0838 [2025-03-11 04:12:00,769 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 04:12:00,769 INFO hook.py line 689 2389709] scale : 0.2342 0.9667 [2025-03-11 04:12:00,769 INFO hook.py line 689 2389709] tissue box : 0.2089 0.2419 [2025-03-11 04:12:00,769 INFO hook.py line 689 2389709] light switch : 0.0397 0.3415 [2025-03-11 04:12:00,770 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 04:12:00,770 INFO hook.py line 689 2389709] power outlet : 0.1636 0.4870 [2025-03-11 04:12:00,770 INFO hook.py line 689 2389709] decoration : 0.1957 0.4061 [2025-03-11 04:12:00,770 INFO hook.py line 689 2389709] sign : 0.0016 0.0018 [2025-03-11 04:12:00,770 INFO hook.py line 689 2389709] projector : 0.0875 1.0000 [2025-03-11 04:12:00,770 INFO hook.py line 689 2389709] closet door : 0.0169 0.0179 [2025-03-11 04:12:00,770 INFO hook.py line 689 2389709] vacuum cleaner : 0.8287 0.9915 [2025-03-11 04:12:00,770 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 04:12:00,770 INFO hook.py line 689 2389709] plunger : 0.4789 0.9714 [2025-03-11 04:12:00,770 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 04:12:00,770 INFO hook.py line 689 2389709] headphones : 0.0214 0.0586 [2025-03-11 04:12:00,771 INFO hook.py line 689 2389709] dish rack : 0.6697 0.9241 [2025-03-11 04:12:00,771 INFO hook.py line 689 2389709] broom : 0.0405 0.1834 [2025-03-11 04:12:00,771 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 04:12:00,771 INFO hook.py line 689 2389709] range hood : 0.7638 0.8920 [2025-03-11 04:12:00,771 INFO hook.py line 689 2389709] dustpan : 0.0298 0.0507 [2025-03-11 04:12:00,771 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 04:12:00,771 INFO hook.py line 689 2389709] water bottle : 0.0056 0.0337 [2025-03-11 04:12:00,771 INFO hook.py line 689 2389709] handicap bar : 0.0260 0.2343 [2025-03-11 04:12:00,772 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 04:12:00,772 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 04:12:00,772 INFO hook.py line 689 2389709] shower floor : 0.3830 0.9834 [2025-03-11 04:12:00,772 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 04:12:00,772 INFO hook.py line 689 2389709] mailbox : 0.4783 0.4857 [2025-03-11 04:12:00,772 INFO hook.py line 689 2389709] bowl : 0.1544 0.2918 [2025-03-11 04:12:00,772 INFO hook.py line 689 2389709] paper bag : 0.0408 0.1525 [2025-03-11 04:12:00,772 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 04:12:00,773 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 04:12:00,773 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 04:12:00,773 INFO hook.py line 689 2389709] divider : 0.4783 0.5426 [2025-03-11 04:12:00,773 INFO hook.py line 689 2389709] laundry detergent: 0.0200 0.0208 [2025-03-11 04:12:00,773 INFO hook.py line 689 2389709] bathroom counter: 0.3490 0.3958 [2025-03-11 04:12:00,773 INFO hook.py line 689 2389709] object : 0.0372 0.0656 [2025-03-11 04:12:00,773 INFO hook.py line 689 2389709] bathroom vanity: 0.4846 0.7500 [2025-03-11 04:12:00,773 INFO hook.py line 689 2389709] closet wall : 0.1040 0.2371 [2025-03-11 04:12:00,773 INFO hook.py line 689 2389709] laundry hamper : 0.1060 0.1312 [2025-03-11 04:12:00,773 INFO hook.py line 689 2389709] bathroom stall door: 0.5591 0.7045 [2025-03-11 04:12:00,774 INFO hook.py line 689 2389709] ceiling light : 0.2095 0.2386 [2025-03-11 04:12:00,774 INFO hook.py line 689 2389709] trash bin : 0.2901 0.3618 [2025-03-11 04:12:00,774 INFO hook.py line 689 2389709] dumbbell : 0.4937 0.9842 [2025-03-11 04:12:00,774 INFO hook.py line 689 2389709] stair rail : 0.1165 0.1330 [2025-03-11 04:12:00,774 INFO hook.py line 689 2389709] tube : 0.0881 0.2063 [2025-03-11 04:12:00,774 INFO hook.py line 689 2389709] bathroom cabinet: 0.2052 0.2459 [2025-03-11 04:12:00,774 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 04:12:00,774 INFO hook.py line 689 2389709] closet rod : 0.3701 0.7704 [2025-03-11 04:12:00,774 INFO hook.py line 689 2389709] coffee kettle : 0.1152 0.3333 [2025-03-11 04:12:00,774 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 04:12:00,774 INFO hook.py line 689 2389709] shower head : 0.2759 0.4094 [2025-03-11 04:12:00,775 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 04:12:00,775 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 04:12:00,775 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 04:12:00,775 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 04:12:00,775 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 04:12:00,775 INFO hook.py line 689 2389709] fire alarm : 0.1090 0.5227 [2025-03-11 04:12:00,775 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 04:12:00,775 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 04:12:00,775 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 04:12:00,775 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 04:12:00,775 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 04:12:00,776 INFO hook.py line 689 2389709] mattress : 0.0012 0.0012 [2025-03-11 04:12:00,776 INFO hook.py line 690 2389709] ######################################## [2025-03-11 04:12:00,776 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2802/0.3983/0.8088. [2025-03-11 04:12:00,777 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 04:12:00,793 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 [2025-03-11 04:12:00,794 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 04:12:31,423 INFO hook.py line 566 2389709] Train: [54/100][50/300] Data 0.001 (0.002) Batch 0.476 (0.501) Remain 01:57:14 loss: 0.6916 Lr: 2.44625e-03 [2025-03-11 04:12:56,204 INFO hook.py line 566 2389709] Train: [54/100][100/300] Data 0.003 (0.002) Batch 0.511 (0.498) Remain 01:56:12 loss: 0.7483 Lr: 2.43247e-03 [2025-03-11 04:13:20,868 INFO hook.py line 566 2389709] Train: [54/100][150/300] Data 0.002 (0.002) Batch 0.492 (0.496) Remain 01:55:25 loss: 1.0374 Lr: 2.41870e-03 [2025-03-11 04:13:45,742 INFO hook.py line 566 2389709] Train: [54/100][200/300] Data 0.002 (0.002) Batch 0.466 (0.497) Remain 01:55:04 loss: 0.7544 Lr: 2.40521e-03 [2025-03-11 04:14:10,704 INFO hook.py line 566 2389709] Train: [54/100][250/300] Data 0.002 (0.002) Batch 0.481 (0.497) Remain 01:54:46 loss: 0.6323 Lr: 2.39144e-03 [2025-03-11 04:14:34,958 INFO hook.py line 566 2389709] Train: [54/100][300/300] Data 0.001 (0.002) Batch 0.419 (0.495) Remain 01:53:53 loss: 0.6464 Lr: 2.37768e-03 [2025-03-11 04:14:34,959 INFO misc.py line 135 2389709] Train result: loss: 0.6803 [2025-03-11 04:14:35,056 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 04:15:23,017 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6193 [2025-03-11 04:15:23,089 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.6737 [2025-03-11 04:15:23,130 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4866 [2025-03-11 04:15:23,182 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5910 [2025-03-11 04:15:23,222 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9863 [2025-03-11 04:15:23,280 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8817 [2025-03-11 04:15:23,333 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.5938 [2025-03-11 04:15:23,364 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.5834 [2025-03-11 04:15:23,417 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3185 [2025-03-11 04:15:23,457 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.3499 [2025-03-11 04:15:23,505 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2806 [2025-03-11 04:15:23,538 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.7646 [2025-03-11 04:15:23,589 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.8137 [2025-03-11 04:15:23,636 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.0547 [2025-03-11 04:15:23,675 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2346 [2025-03-11 04:15:23,730 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1379 [2025-03-11 04:15:23,775 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5460 [2025-03-11 04:15:23,818 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9784 [2025-03-11 04:15:23,868 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.1270 [2025-03-11 04:15:23,918 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6366 [2025-03-11 04:15:23,957 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7721 [2025-03-11 04:15:24,014 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8787 [2025-03-11 04:15:24,058 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3443 [2025-03-11 04:15:24,114 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0394 [2025-03-11 04:15:24,165 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.8233 [2025-03-11 04:15:24,215 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.3740 [2025-03-11 04:15:24,273 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8354 [2025-03-11 04:15:24,316 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.9857 [2025-03-11 04:15:24,353 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1628 [2025-03-11 04:15:24,410 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.2021 [2025-03-11 04:15:24,474 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4485 [2025-03-11 04:15:24,513 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2962 [2025-03-11 04:15:24,574 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8188 [2025-03-11 04:15:24,631 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.0376 [2025-03-11 04:15:24,677 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.4405 [2025-03-11 04:15:24,720 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4323 [2025-03-11 04:15:24,760 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.4366 [2025-03-11 04:15:24,791 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8457 [2025-03-11 04:15:24,859 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.0351 [2025-03-11 04:15:24,907 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4723 [2025-03-11 04:15:24,954 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4005 [2025-03-11 04:15:24,988 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4402 [2025-03-11 04:15:25,027 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2432 [2025-03-11 04:15:25,087 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8579 [2025-03-11 04:15:25,121 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.5025 [2025-03-11 04:15:25,172 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0942 [2025-03-11 04:15:25,210 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9635 [2025-03-11 04:15:25,243 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9847 [2025-03-11 04:15:25,275 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.1358 [2025-03-11 04:15:25,309 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5130 [2025-03-11 04:15:25,339 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2759 [2025-03-11 04:15:25,374 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5621 [2025-03-11 04:15:25,402 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3495 [2025-03-11 04:15:25,437 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.5587 [2025-03-11 04:15:25,475 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4853 [2025-03-11 04:15:25,515 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.1746 [2025-03-11 04:15:25,550 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.4267 [2025-03-11 04:15:25,575 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7765 [2025-03-11 04:15:25,614 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8798 [2025-03-11 04:15:25,650 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7067 [2025-03-11 04:15:25,674 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9329 [2025-03-11 04:15:25,709 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9552 [2025-03-11 04:15:25,746 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.4800 [2025-03-11 04:15:25,804 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.5325 [2025-03-11 04:15:25,832 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3949 [2025-03-11 04:15:25,876 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.9722 [2025-03-11 04:15:25,916 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8546 [2025-03-11 04:15:25,952 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0284 [2025-03-11 04:15:25,983 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4586 [2025-03-11 04:15:26,045 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.6265 [2025-03-11 04:15:26,088 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.2515 [2025-03-11 04:15:26,143 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7145 [2025-03-11 04:15:26,197 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6897 [2025-03-11 04:15:26,241 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.6757 [2025-03-11 04:15:26,293 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5586 [2025-03-11 04:15:26,321 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.1943 [2025-03-11 04:15:26,380 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7321 [2025-03-11 04:15:26,407 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.1014 [2025-03-11 04:15:27,730 INFO hook.py line 674 2389709] ######################################## [2025-03-11 04:15:27,730 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 04:15:27,730 INFO hook.py line 680 2389709] ######################################## [2025-03-11 04:15:27,730 INFO hook.py line 689 2389709] wall : 0.7861 0.9118 [2025-03-11 04:15:27,730 INFO hook.py line 689 2389709] chair : 0.6314 0.7041 [2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] floor : 0.9525 0.9757 [2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] table : 0.5783 0.6788 [2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] door : 0.6302 0.7938 [2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] couch : 0.8064 0.9176 [2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] cabinet : 0.3398 0.4504 [2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] shelf : 0.3511 0.4357 [2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] desk : 0.5583 0.8372 [2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] office chair : 0.2236 0.5850 [2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] bed : 0.7692 0.8637 [2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] pillow : 0.5574 0.6882 [2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] sink : 0.6609 0.7750 [2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] picture : 0.3738 0.5053 [2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] window : 0.5622 0.6947 [2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] toilet : 0.9427 0.9582 [2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] bookshelf : 0.4994 0.8611 [2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] monitor : 0.8483 0.9037 [2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] curtain : 0.6936 0.8844 [2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] book : 0.2962 0.3515 [2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] armchair : 0.5131 0.7698 [2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] coffee table : 0.5504 0.8027 [2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] box : 0.3097 0.4020 [2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] refrigerator : 0.6229 0.7323 [2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] lamp : 0.6713 0.8117 [2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] kitchen cabinet: 0.6354 0.7175 [2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] towel : 0.4708 0.6569 [2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] clothes : 0.2116 0.3228 [2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] tv : 0.8685 0.8973 [2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] nightstand : 0.6184 0.8757 [2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] counter : 0.2601 0.6059 [2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] dresser : 0.4121 0.5475 [2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] stool : 0.5080 0.7092 [2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] plant : 0.7382 0.7875 [2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] ceiling : 0.9224 0.9726 [2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] bathtub : 0.8492 0.9283 [2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] end table : 0.1810 0.2812 [2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] dining table : 0.0457 0.1855 [2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] keyboard : 0.4109 0.5485 [2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] bag : 0.1993 0.3062 [2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] backpack : 0.6147 0.7026 [2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] toilet paper : 0.4478 0.6165 [2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] printer : 0.5097 0.6650 [2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] tv stand : 0.6677 0.9135 [2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] whiteboard : 0.4973 0.7847 [2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] blanket : 0.0831 0.1219 [2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] shower curtain : 0.6529 0.7935 [2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] trash can : 0.5828 0.8644 [2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] closet : 0.1312 0.1557 [2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] stairs : 0.3548 0.7361 [2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] microwave : 0.5778 0.8115 [2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] stove : 0.5310 0.7312 [2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] shoe : 0.5007 0.7800 [2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] computer tower : 0.5319 0.8299 [2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] bottle : 0.1197 0.2579 [2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] ottoman : 0.2612 0.2888 [2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] bench : 0.4462 0.5212 [2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] board : 0.2017 0.3209 [2025-03-11 04:15:27,735 INFO hook.py line 689 2389709] washing machine: 0.8235 0.9430 [2025-03-11 04:15:27,735 INFO hook.py line 689 2389709] mirror : 0.3927 0.5049 [2025-03-11 04:15:27,735 INFO hook.py line 689 2389709] copier : 0.8011 0.9063 [2025-03-11 04:15:27,735 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 04:15:27,735 INFO hook.py line 689 2389709] sofa chair : 0.1137 0.1569 [2025-03-11 04:15:27,735 INFO hook.py line 689 2389709] file cabinet : 0.5059 0.6515 [2025-03-11 04:15:27,735 INFO hook.py line 689 2389709] fan : 0.3187 0.4135 [2025-03-11 04:15:27,736 INFO hook.py line 689 2389709] laptop : 0.4802 0.5966 [2025-03-11 04:15:27,736 INFO hook.py line 689 2389709] shower : 0.2513 0.2866 [2025-03-11 04:15:27,736 INFO hook.py line 689 2389709] paper : 0.0207 0.0231 [2025-03-11 04:15:27,736 INFO hook.py line 689 2389709] person : 0.2264 0.4169 [2025-03-11 04:15:27,736 INFO hook.py line 689 2389709] paper towel dispenser: 0.5326 0.8500 [2025-03-11 04:15:27,736 INFO hook.py line 689 2389709] oven : 0.0137 0.0169 [2025-03-11 04:15:27,736 INFO hook.py line 689 2389709] blinds : 0.0058 0.0070 [2025-03-11 04:15:27,736 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 04:15:27,736 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] blackboard : 0.6866 0.7911 [2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] piano : 0.5398 0.8391 [2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] suitcase : 0.5567 0.7205 [2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] rail : 0.0338 0.0404 [2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] radiator : 0.5542 0.6822 [2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] recycling bin : 0.5166 0.6259 [2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] container : 0.0400 0.0704 [2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] wardrobe : 0.2172 0.2930 [2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] soap dispenser : 0.7160 0.8999 [2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] telephone : 0.3101 0.4177 [2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] bucket : 0.2616 0.3609 [2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] clock : 0.2685 0.3633 [2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] light : 0.0281 0.0398 [2025-03-11 04:15:27,738 INFO hook.py line 689 2389709] laundry basket : 0.0082 0.0082 [2025-03-11 04:15:27,738 INFO hook.py line 689 2389709] pipe : 0.1274 0.1845 [2025-03-11 04:15:27,738 INFO hook.py line 689 2389709] clothes dryer : 0.3728 0.3754 [2025-03-11 04:15:27,738 INFO hook.py line 689 2389709] guitar : 0.4793 0.4813 [2025-03-11 04:15:27,738 INFO hook.py line 689 2389709] toilet paper holder: 0.0634 0.1371 [2025-03-11 04:15:27,738 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 04:15:27,738 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 04:15:27,738 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 04:15:27,738 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 04:15:27,738 INFO hook.py line 689 2389709] ladder : 0.3865 0.6751 [2025-03-11 04:15:27,738 INFO hook.py line 689 2389709] bathroom stall : 0.4436 0.5219 [2025-03-11 04:15:27,738 INFO hook.py line 689 2389709] shower wall : 0.5018 0.6467 [2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] cup : 0.1878 0.5974 [2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] jacket : 0.2161 0.3798 [2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] storage bin : 0.0476 0.0644 [2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] coffee maker : 0.7508 0.9778 [2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] dishwasher : 0.2525 0.3865 [2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] paper towel roll: 0.3089 0.3633 [2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] mat : 0.1843 0.2199 [2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] windowsill : 0.1442 0.1822 [2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] bar : 0.1555 0.2519 [2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] toaster : 0.2406 0.4229 [2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] bulletin board : 0.1741 0.3926 [2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] ironing board : 0.0775 0.0804 [2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] fireplace : 0.5860 0.6067 [2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] soap dish : 0.3460 0.4923 [2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] kitchen counter: 0.4428 0.5135 [2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] doorframe : 0.3611 0.7047 [2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3439 0.4477 [2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] mini fridge : 0.2680 0.3098 [2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] fire extinguisher: 0.0146 0.0171 [2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] ball : 0.2831 0.9615 [2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] shower curtain rod: 0.3067 0.9068 [2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] water cooler : 0.5999 0.7173 [2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] paper cutter : 0.2738 0.2967 [2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] tray : 0.0452 0.0818 [2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] shower door : 0.1559 0.3303 [2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] pillar : 0.0008 0.0008 [2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] ledge : 0.0422 0.0656 [2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] toaster oven : 0.0167 0.0167 [2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] mouse : 0.0665 0.5590 [2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7737 0.8508 [2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] cart : 0.1718 0.2245 [2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] scale : 0.3932 0.9495 [2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] tissue box : 0.2103 0.3658 [2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] light switch : 0.0272 0.1920 [2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] power outlet : 0.1883 0.3306 [2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] decoration : 0.3567 0.6402 [2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] sign : 0.2278 0.3368 [2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] projector : 0.0110 0.2081 [2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] closet door : 0.0403 0.0416 [2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] vacuum cleaner : 0.8966 0.9885 [2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] plunger : 0.2134 0.9776 [2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] headphones : 0.0034 0.0052 [2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] dish rack : 0.7528 0.7969 [2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] broom : 0.0578 0.1019 [2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] range hood : 0.5993 0.6940 [2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] dustpan : 0.0287 0.0843 [2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] handicap bar : 0.0552 0.6774 [2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] shower floor : 0.8474 0.9590 [2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] mailbox : 0.3227 0.3268 [2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] bowl : 0.1043 0.2148 [2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] paper bag : 0.0129 0.0131 [2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] projector screen: 0.0001 0.0001 [2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] divider : 0.5374 0.6451 [2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] bathroom counter: 0.2293 0.3193 [2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] object : 0.0358 0.0555 [2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] bathroom vanity: 0.4365 0.8654 [2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] closet wall : 0.0721 0.0974 [2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] laundry hamper : 0.0079 0.0088 [2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] bathroom stall door: 0.4314 0.7105 [2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] ceiling light : 0.1993 0.2860 [2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] trash bin : 0.2348 0.2756 [2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] dumbbell : 0.3538 0.9688 [2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] stair rail : 0.1631 0.2087 [2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] tube : 0.0989 0.1343 [2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] bathroom cabinet: 0.2234 0.3844 [2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] closet rod : 0.3091 0.8758 [2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] coffee kettle : 0.0258 0.0262 [2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] shower head : 0.2924 0.3518 [2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] case of water bottles: 0.0634 0.0635 [2025-03-11 04:15:27,743 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 04:15:27,743 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 04:15:27,743 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 04:15:27,743 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 04:15:27,743 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 04:15:27,743 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 04:15:27,743 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 04:15:27,743 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 04:15:27,743 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 04:15:27,743 INFO hook.py line 689 2389709] mattress : 0.0031 0.0031 [2025-03-11 04:15:27,743 INFO hook.py line 690 2389709] ######################################## [2025-03-11 04:15:27,743 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2914/0.4054/0.8059. [2025-03-11 04:15:27,744 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 04:15:27,764 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 [2025-03-11 04:15:27,764 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 04:15:57,559 INFO hook.py line 566 2389709] Train: [55/100][50/300] Data 0.002 (0.002) Batch 0.467 (0.490) Remain 01:52:17 loss: 0.4083 Lr: 2.36392e-03 [2025-03-11 04:16:22,090 INFO hook.py line 566 2389709] Train: [55/100][100/300] Data 0.002 (0.002) Batch 0.502 (0.490) Remain 01:51:57 loss: 0.7822 Lr: 2.35017e-03 [2025-03-11 04:16:47,220 INFO hook.py line 566 2389709] Train: [55/100][150/300] Data 0.002 (0.002) Batch 0.547 (0.494) Remain 01:52:29 loss: 0.5333 Lr: 2.33641e-03 [2025-03-11 04:17:11,678 INFO hook.py line 566 2389709] Train: [55/100][200/300] Data 0.003 (0.002) Batch 0.474 (0.493) Remain 01:51:46 loss: 0.4876 Lr: 2.32267e-03 [2025-03-11 04:17:36,165 INFO hook.py line 566 2389709] Train: [55/100][250/300] Data 0.003 (0.002) Batch 0.496 (0.492) Remain 01:51:12 loss: 0.6699 Lr: 2.30893e-03 [2025-03-11 04:18:00,509 INFO hook.py line 566 2389709] Train: [55/100][300/300] Data 0.002 (0.002) Batch 0.435 (0.492) Remain 01:50:35 loss: 0.6995 Lr: 2.29520e-03 [2025-03-11 04:18:00,509 INFO misc.py line 135 2389709] Train result: loss: 0.6541 [2025-03-11 04:18:00,610 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 04:18:48,950 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6162 [2025-03-11 04:18:49,001 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.1959 [2025-03-11 04:18:49,038 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6093 [2025-03-11 04:18:49,090 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5135 [2025-03-11 04:18:49,124 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0912 [2025-03-11 04:18:49,188 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.5571 [2025-03-11 04:18:49,244 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7664 [2025-03-11 04:18:49,274 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.5041 [2025-03-11 04:18:49,325 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2677 [2025-03-11 04:18:49,365 INFO hook.py line 748 2389709] Test: [10/78] Loss 0.9704 [2025-03-11 04:18:49,416 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2170 [2025-03-11 04:18:49,453 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2649 [2025-03-11 04:18:49,506 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.4400 [2025-03-11 04:18:49,550 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.9931 [2025-03-11 04:18:49,589 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.3010 [2025-03-11 04:18:49,645 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.2465 [2025-03-11 04:18:49,686 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1794 [2025-03-11 04:18:49,728 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.7762 [2025-03-11 04:18:49,781 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2663 [2025-03-11 04:18:49,827 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6209 [2025-03-11 04:18:49,872 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7423 [2025-03-11 04:18:49,917 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7662 [2025-03-11 04:18:49,952 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4984 [2025-03-11 04:18:50,006 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.8444 [2025-03-11 04:18:50,052 INFO hook.py line 748 2389709] Test: [25/78] Loss 2.2241 [2025-03-11 04:18:50,099 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.8571 [2025-03-11 04:18:50,156 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9572 [2025-03-11 04:18:50,196 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6277 [2025-03-11 04:18:50,240 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.2539 [2025-03-11 04:18:50,301 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.8660 [2025-03-11 04:18:50,365 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5836 [2025-03-11 04:18:50,402 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0767 [2025-03-11 04:18:50,464 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8898 [2025-03-11 04:18:50,508 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.2808 [2025-03-11 04:18:50,552 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.0697 [2025-03-11 04:18:50,591 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2361 [2025-03-11 04:18:50,635 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2247 [2025-03-11 04:18:50,672 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7816 [2025-03-11 04:18:50,747 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.6803 [2025-03-11 04:18:50,796 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6148 [2025-03-11 04:18:50,857 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4087 [2025-03-11 04:18:50,898 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.6503 [2025-03-11 04:18:50,941 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.9789 [2025-03-11 04:18:50,999 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9188 [2025-03-11 04:18:51,036 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7233 [2025-03-11 04:18:51,096 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0408 [2025-03-11 04:18:51,136 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.2882 [2025-03-11 04:18:51,171 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9280 [2025-03-11 04:18:51,205 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.2718 [2025-03-11 04:18:51,240 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5581 [2025-03-11 04:18:51,271 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2649 [2025-03-11 04:18:51,306 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.4246 [2025-03-11 04:18:51,342 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1096 [2025-03-11 04:18:51,378 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.1815 [2025-03-11 04:18:51,418 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.5163 [2025-03-11 04:18:51,459 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8266 [2025-03-11 04:18:51,493 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.1042 [2025-03-11 04:18:51,518 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2766 [2025-03-11 04:18:51,558 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9524 [2025-03-11 04:18:51,593 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6900 [2025-03-11 04:18:51,617 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7544 [2025-03-11 04:18:51,652 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9526 [2025-03-11 04:18:51,689 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1746 [2025-03-11 04:18:51,747 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6116 [2025-03-11 04:18:51,776 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.5343 [2025-03-11 04:18:51,820 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.0050 [2025-03-11 04:18:51,859 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.3670 [2025-03-11 04:18:51,895 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9830 [2025-03-11 04:18:51,927 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3543 [2025-03-11 04:18:51,989 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.2235 [2025-03-11 04:18:52,032 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5117 [2025-03-11 04:18:52,087 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.3326 [2025-03-11 04:18:52,141 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5981 [2025-03-11 04:18:52,186 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.0987 [2025-03-11 04:18:52,238 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.3336 [2025-03-11 04:18:52,267 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9687 [2025-03-11 04:18:52,326 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7575 [2025-03-11 04:18:52,358 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2567 [2025-03-11 04:18:53,593 INFO hook.py line 674 2389709] ######################################## [2025-03-11 04:18:53,594 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 04:18:53,594 INFO hook.py line 680 2389709] ######################################## [2025-03-11 04:18:53,594 INFO hook.py line 689 2389709] wall : 0.7842 0.9344 [2025-03-11 04:18:53,594 INFO hook.py line 689 2389709] chair : 0.6551 0.7835 [2025-03-11 04:18:53,594 INFO hook.py line 689 2389709] floor : 0.9568 0.9820 [2025-03-11 04:18:53,594 INFO hook.py line 689 2389709] table : 0.6175 0.7536 [2025-03-11 04:18:53,595 INFO hook.py line 689 2389709] door : 0.6470 0.7444 [2025-03-11 04:18:53,595 INFO hook.py line 689 2389709] couch : 0.7742 0.9253 [2025-03-11 04:18:53,595 INFO hook.py line 689 2389709] cabinet : 0.2992 0.4907 [2025-03-11 04:18:53,595 INFO hook.py line 689 2389709] shelf : 0.3121 0.4249 [2025-03-11 04:18:53,595 INFO hook.py line 689 2389709] desk : 0.5579 0.7929 [2025-03-11 04:18:53,595 INFO hook.py line 689 2389709] office chair : 0.1629 0.3510 [2025-03-11 04:18:53,596 INFO hook.py line 689 2389709] bed : 0.7851 0.8811 [2025-03-11 04:18:53,596 INFO hook.py line 689 2389709] pillow : 0.5353 0.7033 [2025-03-11 04:18:53,596 INFO hook.py line 689 2389709] sink : 0.6266 0.7355 [2025-03-11 04:18:53,596 INFO hook.py line 689 2389709] picture : 0.3550 0.4257 [2025-03-11 04:18:53,596 INFO hook.py line 689 2389709] window : 0.5335 0.6721 [2025-03-11 04:18:53,596 INFO hook.py line 689 2389709] toilet : 0.9279 0.9580 [2025-03-11 04:18:53,596 INFO hook.py line 689 2389709] bookshelf : 0.4958 0.7091 [2025-03-11 04:18:53,596 INFO hook.py line 689 2389709] monitor : 0.8221 0.8600 [2025-03-11 04:18:53,597 INFO hook.py line 689 2389709] curtain : 0.6654 0.7635 [2025-03-11 04:18:53,597 INFO hook.py line 689 2389709] book : 0.4397 0.6521 [2025-03-11 04:18:53,597 INFO hook.py line 689 2389709] armchair : 0.5599 0.7670 [2025-03-11 04:18:53,597 INFO hook.py line 689 2389709] coffee table : 0.5998 0.6673 [2025-03-11 04:18:53,597 INFO hook.py line 689 2389709] box : 0.2821 0.3490 [2025-03-11 04:18:53,597 INFO hook.py line 689 2389709] refrigerator : 0.5978 0.6223 [2025-03-11 04:18:53,597 INFO hook.py line 689 2389709] lamp : 0.7047 0.8247 [2025-03-11 04:18:53,597 INFO hook.py line 689 2389709] kitchen cabinet: 0.6325 0.7435 [2025-03-11 04:18:53,597 INFO hook.py line 689 2389709] towel : 0.5577 0.6551 [2025-03-11 04:18:53,597 INFO hook.py line 689 2389709] clothes : 0.1676 0.4165 [2025-03-11 04:18:53,598 INFO hook.py line 689 2389709] tv : 0.7963 0.8993 [2025-03-11 04:18:53,598 INFO hook.py line 689 2389709] nightstand : 0.6628 0.7341 [2025-03-11 04:18:53,598 INFO hook.py line 689 2389709] counter : 0.1605 0.2326 [2025-03-11 04:18:53,598 INFO hook.py line 689 2389709] dresser : 0.2535 0.4247 [2025-03-11 04:18:53,598 INFO hook.py line 689 2389709] stool : 0.5420 0.6208 [2025-03-11 04:18:53,598 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 04:18:53,598 INFO hook.py line 689 2389709] plant : 0.7622 0.8744 [2025-03-11 04:18:53,599 INFO hook.py line 689 2389709] ceiling : 0.9250 0.9561 [2025-03-11 04:18:53,599 INFO hook.py line 689 2389709] bathtub : 0.8728 0.9205 [2025-03-11 04:18:53,599 INFO hook.py line 689 2389709] end table : 0.1373 0.1805 [2025-03-11 04:18:53,599 INFO hook.py line 689 2389709] dining table : 0.0072 0.0088 [2025-03-11 04:18:53,599 INFO hook.py line 689 2389709] keyboard : 0.4177 0.6126 [2025-03-11 04:18:53,599 INFO hook.py line 689 2389709] bag : 0.1711 0.2620 [2025-03-11 04:18:53,600 INFO hook.py line 689 2389709] backpack : 0.5829 0.6772 [2025-03-11 04:18:53,600 INFO hook.py line 689 2389709] toilet paper : 0.4054 0.4628 [2025-03-11 04:18:53,600 INFO hook.py line 689 2389709] printer : 0.4597 0.4899 [2025-03-11 04:18:53,600 INFO hook.py line 689 2389709] tv stand : 0.1577 0.9622 [2025-03-11 04:18:53,600 INFO hook.py line 689 2389709] whiteboard : 0.4380 0.5443 [2025-03-11 04:18:53,600 INFO hook.py line 689 2389709] blanket : 0.0277 0.0321 [2025-03-11 04:18:53,600 INFO hook.py line 689 2389709] shower curtain : 0.5386 0.5849 [2025-03-11 04:18:53,600 INFO hook.py line 689 2389709] trash can : 0.6140 0.8179 [2025-03-11 04:18:53,600 INFO hook.py line 689 2389709] closet : 0.0848 0.1951 [2025-03-11 04:18:53,601 INFO hook.py line 689 2389709] stairs : 0.5349 0.6465 [2025-03-11 04:18:53,601 INFO hook.py line 689 2389709] microwave : 0.4229 0.5917 [2025-03-11 04:18:53,601 INFO hook.py line 689 2389709] stove : 0.6210 0.8494 [2025-03-11 04:18:53,601 INFO hook.py line 689 2389709] shoe : 0.4663 0.6829 [2025-03-11 04:18:53,601 INFO hook.py line 689 2389709] computer tower : 0.5806 0.7748 [2025-03-11 04:18:53,601 INFO hook.py line 689 2389709] bottle : 0.1193 0.2043 [2025-03-11 04:18:53,601 INFO hook.py line 689 2389709] bin : 0.0018 0.0034 [2025-03-11 04:18:53,601 INFO hook.py line 689 2389709] ottoman : 0.1813 0.1952 [2025-03-11 04:18:53,602 INFO hook.py line 689 2389709] bench : 0.1616 0.1918 [2025-03-11 04:18:53,602 INFO hook.py line 689 2389709] board : 0.1681 0.3095 [2025-03-11 04:18:53,602 INFO hook.py line 689 2389709] washing machine: 0.7670 0.9177 [2025-03-11 04:18:53,602 INFO hook.py line 689 2389709] mirror : 0.3334 0.5009 [2025-03-11 04:18:53,602 INFO hook.py line 689 2389709] copier : 0.8296 0.9027 [2025-03-11 04:18:53,602 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 04:18:53,602 INFO hook.py line 689 2389709] sofa chair : 0.0721 0.1075 [2025-03-11 04:18:53,603 INFO hook.py line 689 2389709] file cabinet : 0.4445 0.5311 [2025-03-11 04:18:53,603 INFO hook.py line 689 2389709] fan : 0.3812 0.3948 [2025-03-11 04:18:53,603 INFO hook.py line 689 2389709] laptop : 0.4001 0.7310 [2025-03-11 04:18:53,603 INFO hook.py line 689 2389709] shower : 0.0835 0.0857 [2025-03-11 04:18:53,603 INFO hook.py line 689 2389709] paper : 0.0544 0.0765 [2025-03-11 04:18:53,604 INFO hook.py line 689 2389709] person : 0.2109 0.6328 [2025-03-11 04:18:53,604 INFO hook.py line 689 2389709] paper towel dispenser: 0.5348 0.6649 [2025-03-11 04:18:53,604 INFO hook.py line 689 2389709] oven : 0.1036 0.1108 [2025-03-11 04:18:53,605 INFO hook.py line 689 2389709] blinds : 0.0008 0.0008 [2025-03-11 04:18:53,605 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 04:18:53,605 INFO hook.py line 689 2389709] plate : 0.1038 0.1657 [2025-03-11 04:18:53,606 INFO hook.py line 689 2389709] blackboard : 0.5290 0.6604 [2025-03-11 04:18:53,606 INFO hook.py line 689 2389709] piano : 0.3900 0.7958 [2025-03-11 04:18:53,607 INFO hook.py line 689 2389709] suitcase : 0.5985 0.7561 [2025-03-11 04:18:53,607 INFO hook.py line 689 2389709] rail : 0.0546 0.0592 [2025-03-11 04:18:53,607 INFO hook.py line 689 2389709] radiator : 0.5311 0.5905 [2025-03-11 04:18:53,607 INFO hook.py line 689 2389709] recycling bin : 0.4526 0.5934 [2025-03-11 04:18:53,608 INFO hook.py line 689 2389709] container : 0.0221 0.0253 [2025-03-11 04:18:53,608 INFO hook.py line 689 2389709] wardrobe : 0.1012 0.1179 [2025-03-11 04:18:53,608 INFO hook.py line 689 2389709] soap dispenser : 0.7923 0.9016 [2025-03-11 04:18:53,612 INFO hook.py line 689 2389709] telephone : 0.3432 0.6068 [2025-03-11 04:18:53,613 INFO hook.py line 689 2389709] bucket : 0.3111 0.4648 [2025-03-11 04:18:53,613 INFO hook.py line 689 2389709] clock : 0.2159 0.2316 [2025-03-11 04:18:53,614 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 04:18:53,614 INFO hook.py line 689 2389709] light : 0.0340 0.0441 [2025-03-11 04:18:53,615 INFO hook.py line 689 2389709] laundry basket : 0.0670 0.1040 [2025-03-11 04:18:53,615 INFO hook.py line 689 2389709] pipe : 0.0401 0.0566 [2025-03-11 04:18:53,615 INFO hook.py line 689 2389709] clothes dryer : 0.2989 0.3069 [2025-03-11 04:18:53,615 INFO hook.py line 689 2389709] guitar : 0.5155 0.5532 [2025-03-11 04:18:53,616 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 04:18:53,616 INFO hook.py line 689 2389709] seat : 0.0001 0.0001 [2025-03-11 04:18:53,616 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 04:18:53,616 INFO hook.py line 689 2389709] column : 0.0098 0.0192 [2025-03-11 04:18:53,617 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 04:18:53,617 INFO hook.py line 689 2389709] ladder : 0.4579 0.5460 [2025-03-11 04:18:53,617 INFO hook.py line 689 2389709] bathroom stall : 0.4491 0.5133 [2025-03-11 04:18:53,617 INFO hook.py line 689 2389709] shower wall : 0.4343 0.5191 [2025-03-11 04:18:53,618 INFO hook.py line 689 2389709] cup : 0.1636 0.2373 [2025-03-11 04:18:53,618 INFO hook.py line 689 2389709] jacket : 0.1873 0.2620 [2025-03-11 04:18:53,618 INFO hook.py line 689 2389709] storage bin : 0.0138 0.0191 [2025-03-11 04:18:53,618 INFO hook.py line 689 2389709] coffee maker : 0.6685 0.8029 [2025-03-11 04:18:53,618 INFO hook.py line 689 2389709] dishwasher : 0.4404 0.5406 [2025-03-11 04:18:53,619 INFO hook.py line 689 2389709] paper towel roll: 0.3010 0.4048 [2025-03-11 04:18:53,619 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 04:18:53,619 INFO hook.py line 689 2389709] mat : 0.1176 0.1248 [2025-03-11 04:18:53,619 INFO hook.py line 689 2389709] windowsill : 0.1172 0.1254 [2025-03-11 04:18:53,620 INFO hook.py line 689 2389709] bar : 0.1187 0.1753 [2025-03-11 04:18:53,620 INFO hook.py line 689 2389709] toaster : 0.0773 0.1080 [2025-03-11 04:18:53,620 INFO hook.py line 689 2389709] bulletin board : 0.1308 0.1479 [2025-03-11 04:18:53,621 INFO hook.py line 689 2389709] ironing board : 0.0495 0.0630 [2025-03-11 04:18:53,621 INFO hook.py line 689 2389709] fireplace : 0.6401 0.7002 [2025-03-11 04:18:53,622 INFO hook.py line 689 2389709] soap dish : 0.3520 0.4717 [2025-03-11 04:18:53,622 INFO hook.py line 689 2389709] kitchen counter: 0.4815 0.5759 [2025-03-11 04:18:53,622 INFO hook.py line 689 2389709] doorframe : 0.4091 0.5235 [2025-03-11 04:18:53,622 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4635 0.5500 [2025-03-11 04:18:53,622 INFO hook.py line 689 2389709] mini fridge : 0.5547 0.6509 [2025-03-11 04:18:53,623 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 04:18:53,623 INFO hook.py line 689 2389709] ball : 0.4420 0.6226 [2025-03-11 04:18:53,623 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 04:18:53,623 INFO hook.py line 689 2389709] shower curtain rod: 0.4166 0.8858 [2025-03-11 04:18:53,623 INFO hook.py line 689 2389709] water cooler : 0.6411 0.6769 [2025-03-11 04:18:53,623 INFO hook.py line 689 2389709] paper cutter : 0.2137 0.2666 [2025-03-11 04:18:53,624 INFO hook.py line 689 2389709] tray : 0.0001 0.0002 [2025-03-11 04:18:53,624 INFO hook.py line 689 2389709] shower door : 0.2568 0.2673 [2025-03-11 04:18:53,624 INFO hook.py line 689 2389709] pillar : 0.0017 0.0018 [2025-03-11 04:18:53,624 INFO hook.py line 689 2389709] ledge : 0.0492 0.0728 [2025-03-11 04:18:53,624 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 04:18:53,624 INFO hook.py line 689 2389709] mouse : 0.1264 0.5044 [2025-03-11 04:18:53,625 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5174 0.5728 [2025-03-11 04:18:53,625 INFO hook.py line 689 2389709] furniture : 0.0011 0.0014 [2025-03-11 04:18:53,625 INFO hook.py line 689 2389709] cart : 0.0789 0.0889 [2025-03-11 04:18:53,625 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 04:18:53,626 INFO hook.py line 689 2389709] scale : 0.6588 0.9350 [2025-03-11 04:18:53,626 INFO hook.py line 689 2389709] tissue box : 0.2501 0.3074 [2025-03-11 04:18:53,626 INFO hook.py line 689 2389709] light switch : 0.0406 0.2360 [2025-03-11 04:18:53,626 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 04:18:53,626 INFO hook.py line 689 2389709] power outlet : 0.2525 0.3574 [2025-03-11 04:18:53,626 INFO hook.py line 689 2389709] decoration : 0.2868 0.3904 [2025-03-11 04:18:53,626 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 04:18:53,627 INFO hook.py line 689 2389709] projector : 0.2166 0.7588 [2025-03-11 04:18:53,627 INFO hook.py line 689 2389709] closet door : 0.3742 0.4518 [2025-03-11 04:18:53,627 INFO hook.py line 689 2389709] vacuum cleaner : 0.5800 0.5911 [2025-03-11 04:18:53,627 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 04:18:53,627 INFO hook.py line 689 2389709] plunger : 0.4451 0.9775 [2025-03-11 04:18:53,627 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 04:18:53,627 INFO hook.py line 689 2389709] headphones : 0.0390 0.0559 [2025-03-11 04:18:53,627 INFO hook.py line 689 2389709] dish rack : 0.5132 0.5926 [2025-03-11 04:18:53,628 INFO hook.py line 689 2389709] broom : 0.0986 0.1153 [2025-03-11 04:18:53,628 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 04:18:53,628 INFO hook.py line 689 2389709] range hood : 0.5748 0.7127 [2025-03-11 04:18:53,628 INFO hook.py line 689 2389709] dustpan : 0.1217 0.1508 [2025-03-11 04:18:53,628 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 04:18:53,628 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 04:18:53,628 INFO hook.py line 689 2389709] handicap bar : 0.0000 0.0000 [2025-03-11 04:18:53,629 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 04:18:53,629 INFO hook.py line 689 2389709] vent : 0.0185 0.0482 [2025-03-11 04:18:53,629 INFO hook.py line 689 2389709] shower floor : 0.0958 0.0997 [2025-03-11 04:18:53,629 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 04:18:53,629 INFO hook.py line 689 2389709] mailbox : 0.4592 0.5041 [2025-03-11 04:18:53,629 INFO hook.py line 689 2389709] bowl : 0.0247 0.0265 [2025-03-11 04:18:53,629 INFO hook.py line 689 2389709] paper bag : 0.0554 0.0681 [2025-03-11 04:18:53,629 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 04:18:53,630 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 04:18:53,630 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 04:18:53,630 INFO hook.py line 689 2389709] divider : 0.4794 0.4986 [2025-03-11 04:18:53,630 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 04:18:53,630 INFO hook.py line 689 2389709] bathroom counter: 0.3274 0.3759 [2025-03-11 04:18:53,630 INFO hook.py line 689 2389709] object : 0.0332 0.0678 [2025-03-11 04:18:53,630 INFO hook.py line 689 2389709] bathroom vanity: 0.4704 0.7435 [2025-03-11 04:18:53,630 INFO hook.py line 689 2389709] closet wall : 0.0998 0.1553 [2025-03-11 04:18:53,631 INFO hook.py line 689 2389709] laundry hamper : 0.0516 0.0656 [2025-03-11 04:18:53,631 INFO hook.py line 689 2389709] bathroom stall door: 0.5261 0.7014 [2025-03-11 04:18:53,631 INFO hook.py line 689 2389709] ceiling light : 0.3617 0.4938 [2025-03-11 04:18:53,631 INFO hook.py line 689 2389709] trash bin : 0.2993 0.4206 [2025-03-11 04:18:53,631 INFO hook.py line 689 2389709] dumbbell : 0.8725 0.9625 [2025-03-11 04:18:53,631 INFO hook.py line 689 2389709] stair rail : 0.2022 0.2465 [2025-03-11 04:18:53,631 INFO hook.py line 689 2389709] tube : 0.0463 0.0537 [2025-03-11 04:18:53,631 INFO hook.py line 689 2389709] bathroom cabinet: 0.2610 0.4033 [2025-03-11 04:18:53,631 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 04:18:53,632 INFO hook.py line 689 2389709] closet rod : 0.3200 0.8179 [2025-03-11 04:18:53,632 INFO hook.py line 689 2389709] coffee kettle : 0.0136 0.0140 [2025-03-11 04:18:53,632 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 04:18:53,632 INFO hook.py line 689 2389709] shower head : 0.1701 0.2557 [2025-03-11 04:18:53,632 INFO hook.py line 689 2389709] keyboard piano : 0.0351 0.0868 [2025-03-11 04:18:53,632 INFO hook.py line 689 2389709] case of water bottles: 0.0049 0.0050 [2025-03-11 04:18:53,632 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 04:18:53,632 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 04:18:53,633 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 04:18:53,633 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 04:18:53,633 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 04:18:53,633 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 04:18:53,633 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 04:18:53,633 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 04:18:53,633 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 04:18:53,633 INFO hook.py line 689 2389709] mattress : 0.0008 0.0008 [2025-03-11 04:18:53,634 INFO hook.py line 690 2389709] ######################################## [2025-03-11 04:18:53,634 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2851/0.3701/0.8036. [2025-03-11 04:18:53,635 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 04:18:53,654 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 [2025-03-11 04:18:53,654 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 04:19:24,441 INFO hook.py line 566 2389709] Train: [56/100][50/300] Data 0.003 (0.003) Batch 0.542 (0.507) Remain 01:53:33 loss: 0.7724 Lr: 2.28147e-03 [2025-03-11 04:19:49,329 INFO hook.py line 566 2389709] Train: [56/100][100/300] Data 0.003 (0.002) Batch 0.488 (0.502) Remain 01:52:06 loss: 0.6051 Lr: 2.26775e-03 [2025-03-11 04:20:14,311 INFO hook.py line 566 2389709] Train: [56/100][150/300] Data 0.002 (0.002) Batch 0.470 (0.501) Remain 01:51:31 loss: 0.6544 Lr: 2.25403e-03 [2025-03-11 04:20:38,899 INFO hook.py line 566 2389709] Train: [56/100][200/300] Data 0.002 (0.002) Batch 0.527 (0.499) Remain 01:50:34 loss: 0.8770 Lr: 2.24033e-03 [2025-03-11 04:21:03,411 INFO hook.py line 566 2389709] Train: [56/100][250/300] Data 0.002 (0.002) Batch 0.461 (0.497) Remain 01:49:46 loss: 0.6600 Lr: 2.22663e-03 [2025-03-11 04:21:27,708 INFO hook.py line 566 2389709] Train: [56/100][300/300] Data 0.001 (0.002) Batch 0.510 (0.495) Remain 01:48:56 loss: 0.5121 Lr: 2.21294e-03 [2025-03-11 04:21:27,709 INFO misc.py line 135 2389709] Train result: loss: 0.6609 [2025-03-11 04:21:27,809 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 04:22:16,052 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4142 [2025-03-11 04:22:16,168 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.5666 [2025-03-11 04:22:16,208 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6103 [2025-03-11 04:22:16,262 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.3939 [2025-03-11 04:22:16,305 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9651 [2025-03-11 04:22:16,372 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.3389 [2025-03-11 04:22:16,424 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8488 [2025-03-11 04:22:16,453 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3440 [2025-03-11 04:22:16,500 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.5533 [2025-03-11 04:22:16,535 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2180 [2025-03-11 04:22:16,584 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3222 [2025-03-11 04:22:16,617 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.8815 [2025-03-11 04:22:16,680 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.0741 [2025-03-11 04:22:16,725 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.3529 [2025-03-11 04:22:16,766 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1077 [2025-03-11 04:22:16,819 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1836 [2025-03-11 04:22:16,861 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4073 [2025-03-11 04:22:16,899 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9620 [2025-03-11 04:22:16,944 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.1824 [2025-03-11 04:22:16,980 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6009 [2025-03-11 04:22:17,021 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6695 [2025-03-11 04:22:17,062 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.1522 [2025-03-11 04:22:17,091 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3781 [2025-03-11 04:22:17,140 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.3745 [2025-03-11 04:22:17,185 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.6660 [2025-03-11 04:22:17,231 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2583 [2025-03-11 04:22:17,285 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.2608 [2025-03-11 04:22:17,323 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5082 [2025-03-11 04:22:17,355 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9948 [2025-03-11 04:22:17,418 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.4445 [2025-03-11 04:22:17,477 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5376 [2025-03-11 04:22:17,512 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.5434 [2025-03-11 04:22:17,574 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.5946 [2025-03-11 04:22:17,618 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.7710 [2025-03-11 04:22:17,662 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.0911 [2025-03-11 04:22:17,714 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2987 [2025-03-11 04:22:17,753 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.6024 [2025-03-11 04:22:17,782 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7739 [2025-03-11 04:22:17,854 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.0095 [2025-03-11 04:22:17,902 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.9488 [2025-03-11 04:22:17,951 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4655 [2025-03-11 04:22:17,985 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4828 [2025-03-11 04:22:18,037 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1733 [2025-03-11 04:22:18,094 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8391 [2025-03-11 04:22:18,134 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.6171 [2025-03-11 04:22:18,187 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1254 [2025-03-11 04:22:18,228 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.0529 [2025-03-11 04:22:18,261 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0959 [2025-03-11 04:22:18,296 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4612 [2025-03-11 04:22:18,333 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.3186 [2025-03-11 04:22:18,364 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3932 [2025-03-11 04:22:18,398 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6111 [2025-03-11 04:22:18,426 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.0813 [2025-03-11 04:22:18,465 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.3814 [2025-03-11 04:22:18,506 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.1492 [2025-03-11 04:22:18,551 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.7381 [2025-03-11 04:22:18,589 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.4460 [2025-03-11 04:22:18,618 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.8883 [2025-03-11 04:22:18,657 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7583 [2025-03-11 04:22:18,691 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4951 [2025-03-11 04:22:18,719 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9706 [2025-03-11 04:22:18,754 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9344 [2025-03-11 04:22:18,790 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2608 [2025-03-11 04:22:18,851 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7875 [2025-03-11 04:22:18,878 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2645 [2025-03-11 04:22:18,925 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.2280 [2025-03-11 04:22:18,965 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.2257 [2025-03-11 04:22:19,005 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0167 [2025-03-11 04:22:19,041 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3131 [2025-03-11 04:22:19,108 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0975 [2025-03-11 04:22:19,152 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7457 [2025-03-11 04:22:19,207 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.4876 [2025-03-11 04:22:19,260 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6397 [2025-03-11 04:22:19,309 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.2144 [2025-03-11 04:22:19,365 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6828 [2025-03-11 04:22:19,397 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9506 [2025-03-11 04:22:19,456 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7430 [2025-03-11 04:22:19,482 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2683 [2025-03-11 04:22:20,700 INFO hook.py line 674 2389709] ######################################## [2025-03-11 04:22:20,700 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 04:22:20,700 INFO hook.py line 680 2389709] ######################################## [2025-03-11 04:22:20,701 INFO hook.py line 689 2389709] wall : 0.7789 0.9361 [2025-03-11 04:22:20,701 INFO hook.py line 689 2389709] chair : 0.7486 0.8757 [2025-03-11 04:22:20,701 INFO hook.py line 689 2389709] floor : 0.9552 0.9804 [2025-03-11 04:22:20,701 INFO hook.py line 689 2389709] table : 0.6042 0.7005 [2025-03-11 04:22:20,701 INFO hook.py line 689 2389709] door : 0.6602 0.7944 [2025-03-11 04:22:20,701 INFO hook.py line 689 2389709] couch : 0.6599 0.9565 [2025-03-11 04:22:20,701 INFO hook.py line 689 2389709] cabinet : 0.3405 0.4935 [2025-03-11 04:22:20,701 INFO hook.py line 689 2389709] shelf : 0.3718 0.5045 [2025-03-11 04:22:20,701 INFO hook.py line 689 2389709] desk : 0.5607 0.7946 [2025-03-11 04:22:20,701 INFO hook.py line 689 2389709] office chair : 0.1996 0.2580 [2025-03-11 04:22:20,702 INFO hook.py line 689 2389709] bed : 0.7500 0.8578 [2025-03-11 04:22:20,702 INFO hook.py line 689 2389709] pillow : 0.5641 0.7845 [2025-03-11 04:22:20,702 INFO hook.py line 689 2389709] sink : 0.6338 0.7529 [2025-03-11 04:22:20,702 INFO hook.py line 689 2389709] picture : 0.3522 0.4309 [2025-03-11 04:22:20,702 INFO hook.py line 689 2389709] window : 0.5661 0.7193 [2025-03-11 04:22:20,702 INFO hook.py line 689 2389709] toilet : 0.8913 0.9634 [2025-03-11 04:22:20,702 INFO hook.py line 689 2389709] bookshelf : 0.4680 0.6763 [2025-03-11 04:22:20,702 INFO hook.py line 689 2389709] monitor : 0.7968 0.8328 [2025-03-11 04:22:20,702 INFO hook.py line 689 2389709] curtain : 0.6836 0.7656 [2025-03-11 04:22:20,702 INFO hook.py line 689 2389709] book : 0.4352 0.6618 [2025-03-11 04:22:20,702 INFO hook.py line 689 2389709] armchair : 0.3452 0.3771 [2025-03-11 04:22:20,703 INFO hook.py line 689 2389709] coffee table : 0.6225 0.6897 [2025-03-11 04:22:20,703 INFO hook.py line 689 2389709] box : 0.2604 0.3172 [2025-03-11 04:22:20,703 INFO hook.py line 689 2389709] refrigerator : 0.6491 0.7331 [2025-03-11 04:22:20,703 INFO hook.py line 689 2389709] lamp : 0.6080 0.8400 [2025-03-11 04:22:20,703 INFO hook.py line 689 2389709] kitchen cabinet: 0.6473 0.7774 [2025-03-11 04:22:20,703 INFO hook.py line 689 2389709] towel : 0.5128 0.6837 [2025-03-11 04:22:20,703 INFO hook.py line 689 2389709] clothes : 0.1732 0.2563 [2025-03-11 04:22:20,703 INFO hook.py line 689 2389709] tv : 0.7534 0.9115 [2025-03-11 04:22:20,703 INFO hook.py line 689 2389709] nightstand : 0.6248 0.8750 [2025-03-11 04:22:20,703 INFO hook.py line 689 2389709] counter : 0.2954 0.6108 [2025-03-11 04:22:20,704 INFO hook.py line 689 2389709] dresser : 0.3151 0.4254 [2025-03-11 04:22:20,704 INFO hook.py line 689 2389709] stool : 0.6112 0.7433 [2025-03-11 04:22:20,704 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 04:22:20,704 INFO hook.py line 689 2389709] plant : 0.7337 0.8692 [2025-03-11 04:22:20,704 INFO hook.py line 689 2389709] ceiling : 0.9216 0.9580 [2025-03-11 04:22:20,704 INFO hook.py line 689 2389709] bathtub : 0.8559 0.9132 [2025-03-11 04:22:20,704 INFO hook.py line 689 2389709] end table : 0.3078 0.4403 [2025-03-11 04:22:20,704 INFO hook.py line 689 2389709] dining table : 0.0336 0.0604 [2025-03-11 04:22:20,704 INFO hook.py line 689 2389709] keyboard : 0.4302 0.4993 [2025-03-11 04:22:20,704 INFO hook.py line 689 2389709] bag : 0.1858 0.2708 [2025-03-11 04:22:20,704 INFO hook.py line 689 2389709] backpack : 0.5411 0.8006 [2025-03-11 04:22:20,705 INFO hook.py line 689 2389709] toilet paper : 0.4846 0.6103 [2025-03-11 04:22:20,705 INFO hook.py line 689 2389709] printer : 0.5107 0.5163 [2025-03-11 04:22:20,705 INFO hook.py line 689 2389709] tv stand : 0.4700 0.7589 [2025-03-11 04:22:20,705 INFO hook.py line 689 2389709] whiteboard : 0.4845 0.6508 [2025-03-11 04:22:20,705 INFO hook.py line 689 2389709] blanket : 0.0212 0.0388 [2025-03-11 04:22:20,705 INFO hook.py line 689 2389709] shower curtain : 0.7086 0.7731 [2025-03-11 04:22:20,705 INFO hook.py line 689 2389709] trash can : 0.6189 0.7545 [2025-03-11 04:22:20,705 INFO hook.py line 689 2389709] closet : 0.1129 0.1513 [2025-03-11 04:22:20,705 INFO hook.py line 689 2389709] stairs : 0.5166 0.5783 [2025-03-11 04:22:20,705 INFO hook.py line 689 2389709] microwave : 0.4712 0.6694 [2025-03-11 04:22:20,705 INFO hook.py line 689 2389709] stove : 0.5961 0.8239 [2025-03-11 04:22:20,705 INFO hook.py line 689 2389709] shoe : 0.4533 0.6524 [2025-03-11 04:22:20,706 INFO hook.py line 689 2389709] computer tower : 0.5677 0.6917 [2025-03-11 04:22:20,706 INFO hook.py line 689 2389709] bottle : 0.0800 0.1223 [2025-03-11 04:22:20,706 INFO hook.py line 689 2389709] bin : 0.0038 0.0081 [2025-03-11 04:22:20,706 INFO hook.py line 689 2389709] ottoman : 0.4206 0.5024 [2025-03-11 04:22:20,706 INFO hook.py line 689 2389709] bench : 0.3074 0.4893 [2025-03-11 04:22:20,706 INFO hook.py line 689 2389709] board : 0.1912 0.3174 [2025-03-11 04:22:20,706 INFO hook.py line 689 2389709] washing machine: 0.8288 0.8758 [2025-03-11 04:22:20,706 INFO hook.py line 689 2389709] mirror : 0.3730 0.5214 [2025-03-11 04:22:20,706 INFO hook.py line 689 2389709] copier : 0.7673 0.8990 [2025-03-11 04:22:20,706 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 04:22:20,706 INFO hook.py line 689 2389709] sofa chair : 0.1714 0.2346 [2025-03-11 04:22:20,707 INFO hook.py line 689 2389709] file cabinet : 0.4024 0.4495 [2025-03-11 04:22:20,707 INFO hook.py line 689 2389709] fan : 0.2494 0.3068 [2025-03-11 04:22:20,707 INFO hook.py line 689 2389709] laptop : 0.4660 0.7048 [2025-03-11 04:22:20,707 INFO hook.py line 689 2389709] shower : 0.1258 0.1299 [2025-03-11 04:22:20,707 INFO hook.py line 689 2389709] paper : 0.0671 0.0919 [2025-03-11 04:22:20,707 INFO hook.py line 689 2389709] person : 0.3451 0.4378 [2025-03-11 04:22:20,707 INFO hook.py line 689 2389709] paper towel dispenser: 0.5609 0.6649 [2025-03-11 04:22:20,707 INFO hook.py line 689 2389709] oven : 0.0003 0.0003 [2025-03-11 04:22:20,707 INFO hook.py line 689 2389709] blinds : 0.0090 0.0098 [2025-03-11 04:22:20,707 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 04:22:20,707 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 04:22:20,708 INFO hook.py line 689 2389709] blackboard : 0.6209 0.6602 [2025-03-11 04:22:20,708 INFO hook.py line 689 2389709] piano : 0.4431 0.4677 [2025-03-11 04:22:20,708 INFO hook.py line 689 2389709] suitcase : 0.5986 0.6839 [2025-03-11 04:22:20,708 INFO hook.py line 689 2389709] rail : 0.0346 0.0373 [2025-03-11 04:22:20,708 INFO hook.py line 689 2389709] radiator : 0.5811 0.6429 [2025-03-11 04:22:20,708 INFO hook.py line 689 2389709] recycling bin : 0.3855 0.7136 [2025-03-11 04:22:20,708 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 04:22:20,708 INFO hook.py line 689 2389709] wardrobe : 0.1847 0.2363 [2025-03-11 04:22:20,708 INFO hook.py line 689 2389709] soap dispenser : 0.8656 0.8930 [2025-03-11 04:22:20,708 INFO hook.py line 689 2389709] telephone : 0.3134 0.5085 [2025-03-11 04:22:20,708 INFO hook.py line 689 2389709] bucket : 0.2973 0.3742 [2025-03-11 04:22:20,709 INFO hook.py line 689 2389709] clock : 0.2507 0.3266 [2025-03-11 04:22:20,709 INFO hook.py line 689 2389709] stand : 0.0016 0.0328 [2025-03-11 04:22:20,709 INFO hook.py line 689 2389709] light : 0.0728 0.0868 [2025-03-11 04:22:20,709 INFO hook.py line 689 2389709] laundry basket : 0.0030 0.0040 [2025-03-11 04:22:20,709 INFO hook.py line 689 2389709] pipe : 0.0471 0.0725 [2025-03-11 04:22:20,709 INFO hook.py line 689 2389709] clothes dryer : 0.4587 0.4679 [2025-03-11 04:22:20,709 INFO hook.py line 689 2389709] guitar : 0.3440 0.8758 [2025-03-11 04:22:20,709 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 04:22:20,709 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 04:22:20,709 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 04:22:20,709 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 04:22:20,710 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 04:22:20,710 INFO hook.py line 689 2389709] ladder : 0.4943 0.7325 [2025-03-11 04:22:20,710 INFO hook.py line 689 2389709] bathroom stall : 0.4259 0.4731 [2025-03-11 04:22:20,710 INFO hook.py line 689 2389709] shower wall : 0.4923 0.6187 [2025-03-11 04:22:20,710 INFO hook.py line 689 2389709] cup : 0.1822 0.3273 [2025-03-11 04:22:20,710 INFO hook.py line 689 2389709] jacket : 0.1846 0.3180 [2025-03-11 04:22:20,710 INFO hook.py line 689 2389709] storage bin : 0.0617 0.0776 [2025-03-11 04:22:20,710 INFO hook.py line 689 2389709] coffee maker : 0.7193 0.9909 [2025-03-11 04:22:20,710 INFO hook.py line 689 2389709] dishwasher : 0.1754 0.1805 [2025-03-11 04:22:20,711 INFO hook.py line 689 2389709] paper towel roll: 0.2880 0.2947 [2025-03-11 04:22:20,711 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 04:22:20,711 INFO hook.py line 689 2389709] mat : 0.1725 0.1993 [2025-03-11 04:22:20,711 INFO hook.py line 689 2389709] windowsill : 0.1337 0.1512 [2025-03-11 04:22:20,711 INFO hook.py line 689 2389709] bar : 0.1677 0.3096 [2025-03-11 04:22:20,711 INFO hook.py line 689 2389709] toaster : 0.0025 0.0038 [2025-03-11 04:22:20,711 INFO hook.py line 689 2389709] bulletin board : 0.1665 0.2009 [2025-03-11 04:22:20,711 INFO hook.py line 689 2389709] ironing board : 0.1119 0.1250 [2025-03-11 04:22:20,711 INFO hook.py line 689 2389709] fireplace : 0.5613 0.5945 [2025-03-11 04:22:20,711 INFO hook.py line 689 2389709] soap dish : 0.3393 0.4983 [2025-03-11 04:22:20,715 INFO hook.py line 689 2389709] kitchen counter: 0.4525 0.5293 [2025-03-11 04:22:20,715 INFO hook.py line 689 2389709] doorframe : 0.4095 0.6335 [2025-03-11 04:22:20,715 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4189 0.5209 [2025-03-11 04:22:20,715 INFO hook.py line 689 2389709] mini fridge : 0.4187 0.4807 [2025-03-11 04:22:20,715 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 04:22:20,716 INFO hook.py line 689 2389709] ball : 0.3502 0.9424 [2025-03-11 04:22:20,716 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 04:22:20,716 INFO hook.py line 689 2389709] shower curtain rod: 0.3445 0.8660 [2025-03-11 04:22:20,716 INFO hook.py line 689 2389709] water cooler : 0.7248 0.7389 [2025-03-11 04:22:20,716 INFO hook.py line 689 2389709] paper cutter : 0.2910 0.3957 [2025-03-11 04:22:20,716 INFO hook.py line 689 2389709] tray : 0.0585 0.0941 [2025-03-11 04:22:20,716 INFO hook.py line 689 2389709] shower door : 0.1626 0.2615 [2025-03-11 04:22:20,717 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 04:22:20,717 INFO hook.py line 689 2389709] ledge : 0.0672 0.1032 [2025-03-11 04:22:20,717 INFO hook.py line 689 2389709] toaster oven : 0.0055 0.0057 [2025-03-11 04:22:20,717 INFO hook.py line 689 2389709] mouse : 0.0916 0.2643 [2025-03-11 04:22:20,717 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7017 0.7419 [2025-03-11 04:22:20,717 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 04:22:20,717 INFO hook.py line 689 2389709] cart : 0.1300 0.1387 [2025-03-11 04:22:20,718 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 04:22:20,718 INFO hook.py line 689 2389709] scale : 0.2167 0.9583 [2025-03-11 04:22:20,718 INFO hook.py line 689 2389709] tissue box : 0.2131 0.3536 [2025-03-11 04:22:20,718 INFO hook.py line 689 2389709] light switch : 0.0494 0.1451 [2025-03-11 04:22:20,718 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 04:22:20,718 INFO hook.py line 689 2389709] power outlet : 0.0958 0.1247 [2025-03-11 04:22:20,718 INFO hook.py line 689 2389709] decoration : 0.1390 0.2819 [2025-03-11 04:22:20,718 INFO hook.py line 689 2389709] sign : 0.0078 0.0092 [2025-03-11 04:22:20,719 INFO hook.py line 689 2389709] projector : 0.2168 1.0000 [2025-03-11 04:22:20,719 INFO hook.py line 689 2389709] closet door : 0.1781 0.1972 [2025-03-11 04:22:20,719 INFO hook.py line 689 2389709] vacuum cleaner : 0.8450 0.9466 [2025-03-11 04:22:20,719 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 04:22:20,719 INFO hook.py line 689 2389709] plunger : 0.3934 0.8835 [2025-03-11 04:22:20,719 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 04:22:20,719 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 04:22:20,719 INFO hook.py line 689 2389709] dish rack : 0.6619 0.9112 [2025-03-11 04:22:20,720 INFO hook.py line 689 2389709] broom : 0.0623 0.2083 [2025-03-11 04:22:20,720 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 04:22:20,720 INFO hook.py line 689 2389709] range hood : 0.7692 0.8823 [2025-03-11 04:22:20,720 INFO hook.py line 689 2389709] dustpan : 0.0789 0.1801 [2025-03-11 04:22:20,720 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 04:22:20,720 INFO hook.py line 689 2389709] water bottle : 0.0121 0.0374 [2025-03-11 04:22:20,720 INFO hook.py line 689 2389709] handicap bar : 0.0065 0.0774 [2025-03-11 04:22:20,720 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 04:22:20,720 INFO hook.py line 689 2389709] vent : 0.0555 0.0621 [2025-03-11 04:22:20,720 INFO hook.py line 689 2389709] shower floor : 0.7867 0.9745 [2025-03-11 04:22:20,721 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 04:22:20,721 INFO hook.py line 689 2389709] mailbox : 0.3761 0.3848 [2025-03-11 04:22:20,721 INFO hook.py line 689 2389709] bowl : 0.0373 0.0416 [2025-03-11 04:22:20,721 INFO hook.py line 689 2389709] paper bag : 0.0948 0.1107 [2025-03-11 04:22:20,721 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 04:22:20,721 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 04:22:20,721 INFO hook.py line 689 2389709] projector screen: 0.0024 0.0030 [2025-03-11 04:22:20,721 INFO hook.py line 689 2389709] divider : 0.5215 0.5763 [2025-03-11 04:22:20,721 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 04:22:20,721 INFO hook.py line 689 2389709] bathroom counter: 0.2075 0.2424 [2025-03-11 04:22:20,721 INFO hook.py line 689 2389709] object : 0.0280 0.0404 [2025-03-11 04:22:20,721 INFO hook.py line 689 2389709] bathroom vanity: 0.3666 0.8452 [2025-03-11 04:22:20,722 INFO hook.py line 689 2389709] closet wall : 0.0132 0.0154 [2025-03-11 04:22:20,722 INFO hook.py line 689 2389709] laundry hamper : 0.0475 0.0603 [2025-03-11 04:22:20,722 INFO hook.py line 689 2389709] bathroom stall door: 0.4986 0.6913 [2025-03-11 04:22:20,722 INFO hook.py line 689 2389709] ceiling light : 0.2303 0.2987 [2025-03-11 04:22:20,722 INFO hook.py line 689 2389709] trash bin : 0.2774 0.3416 [2025-03-11 04:22:20,722 INFO hook.py line 689 2389709] dumbbell : 0.6308 0.9719 [2025-03-11 04:22:20,722 INFO hook.py line 689 2389709] stair rail : 0.2072 0.2490 [2025-03-11 04:22:20,722 INFO hook.py line 689 2389709] tube : 0.0935 0.1074 [2025-03-11 04:22:20,722 INFO hook.py line 689 2389709] bathroom cabinet: 0.2203 0.2929 [2025-03-11 04:22:20,723 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 04:22:20,723 INFO hook.py line 689 2389709] closet rod : 0.4157 0.8150 [2025-03-11 04:22:20,723 INFO hook.py line 689 2389709] coffee kettle : 0.0079 0.0079 [2025-03-11 04:22:20,723 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 04:22:20,723 INFO hook.py line 689 2389709] shower head : 0.3292 0.3459 [2025-03-11 04:22:20,723 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 04:22:20,723 INFO hook.py line 689 2389709] case of water bottles: 0.0775 0.0775 [2025-03-11 04:22:20,723 INFO hook.py line 689 2389709] coat rack : 0.0035 0.0072 [2025-03-11 04:22:20,723 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 04:22:20,723 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 04:22:20,723 INFO hook.py line 689 2389709] fire alarm : 0.3017 0.7778 [2025-03-11 04:22:20,724 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 04:22:20,724 INFO hook.py line 689 2389709] calendar : 0.0565 0.1105 [2025-03-11 04:22:20,724 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 04:22:20,724 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 04:22:20,724 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 04:22:20,724 INFO hook.py line 689 2389709] mattress : 0.0677 0.0679 [2025-03-11 04:22:20,724 INFO hook.py line 690 2389709] ######################################## [2025-03-11 04:22:20,724 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2927/0.3892/0.8126. [2025-03-11 04:22:20,725 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 04:22:20,740 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 [2025-03-11 04:22:20,741 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 04:22:51,776 INFO hook.py line 566 2389709] Train: [57/100][50/300] Data 0.005 (0.002) Batch 0.500 (0.507) Remain 01:51:11 loss: 0.3449 Lr: 2.19925e-03 [2025-03-11 04:23:15,956 INFO hook.py line 566 2389709] Train: [57/100][100/300] Data 0.003 (0.002) Batch 0.472 (0.495) Remain 01:48:06 loss: 0.6699 Lr: 2.18558e-03 [2025-03-11 04:23:40,451 INFO hook.py line 566 2389709] Train: [57/100][150/300] Data 0.002 (0.002) Batch 0.478 (0.493) Remain 01:47:18 loss: 0.7761 Lr: 2.17192e-03 [2025-03-11 04:24:04,768 INFO hook.py line 566 2389709] Train: [57/100][200/300] Data 0.002 (0.002) Batch 0.549 (0.492) Remain 01:46:30 loss: 0.5739 Lr: 2.15827e-03 [2025-03-11 04:24:29,129 INFO hook.py line 566 2389709] Train: [57/100][250/300] Data 0.003 (0.002) Batch 0.497 (0.491) Remain 01:45:54 loss: 0.7350 Lr: 2.14462e-03 [2025-03-11 04:24:52,817 INFO hook.py line 566 2389709] Train: [57/100][300/300] Data 0.001 (0.002) Batch 0.418 (0.488) Remain 01:44:53 loss: 0.6661 Lr: 2.13099e-03 [2025-03-11 04:24:52,818 INFO misc.py line 135 2389709] Train result: loss: 0.6680 [2025-03-11 04:24:52,968 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 04:25:47,707 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5297 [2025-03-11 04:25:47,804 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.1768 [2025-03-11 04:25:47,847 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4694 [2025-03-11 04:25:47,896 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5832 [2025-03-11 04:25:47,946 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9323 [2025-03-11 04:25:48,003 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2234 [2025-03-11 04:25:48,056 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8826 [2025-03-11 04:25:48,085 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.8060 [2025-03-11 04:25:48,130 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.4414 [2025-03-11 04:25:48,173 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1012 [2025-03-11 04:25:48,225 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2956 [2025-03-11 04:25:48,279 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2981 [2025-03-11 04:25:48,331 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.2283 [2025-03-11 04:25:48,373 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.6437 [2025-03-11 04:25:48,412 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1583 [2025-03-11 04:25:48,464 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1642 [2025-03-11 04:25:48,501 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.6131 [2025-03-11 04:25:48,538 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1469 [2025-03-11 04:25:48,581 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.0196 [2025-03-11 04:25:48,617 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7730 [2025-03-11 04:25:48,654 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6157 [2025-03-11 04:25:48,694 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.2637 [2025-03-11 04:25:48,726 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3083 [2025-03-11 04:25:48,780 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0617 [2025-03-11 04:25:48,825 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7541 [2025-03-11 04:25:48,872 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5318 [2025-03-11 04:25:48,926 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.3185 [2025-03-11 04:25:48,961 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5547 [2025-03-11 04:25:49,007 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0187 [2025-03-11 04:25:49,066 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.7800 [2025-03-11 04:25:49,126 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5987 [2025-03-11 04:25:49,161 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4417 [2025-03-11 04:25:49,228 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.6751 [2025-03-11 04:25:49,271 INFO hook.py line 748 2389709] Test: [34/78] Loss 3.4438 [2025-03-11 04:25:49,311 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1059 [2025-03-11 04:25:49,352 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4200 [2025-03-11 04:25:49,399 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.0985 [2025-03-11 04:25:49,439 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.5137 [2025-03-11 04:25:49,507 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.7353 [2025-03-11 04:25:49,560 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6110 [2025-03-11 04:25:49,609 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2714 [2025-03-11 04:25:49,645 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5028 [2025-03-11 04:25:49,686 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.8208 [2025-03-11 04:25:49,747 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9088 [2025-03-11 04:25:49,788 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.6318 [2025-03-11 04:25:49,842 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2818 [2025-03-11 04:25:49,883 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9532 [2025-03-11 04:25:49,917 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.3021 [2025-03-11 04:25:49,952 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.5514 [2025-03-11 04:25:49,992 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.0115 [2025-03-11 04:25:50,023 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9060 [2025-03-11 04:25:50,058 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6728 [2025-03-11 04:25:50,088 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2041 [2025-03-11 04:25:50,128 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.5287 [2025-03-11 04:25:50,171 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.2203 [2025-03-11 04:25:50,217 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8734 [2025-03-11 04:25:50,256 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.0505 [2025-03-11 04:25:50,286 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9738 [2025-03-11 04:25:50,325 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7662 [2025-03-11 04:25:50,362 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5487 [2025-03-11 04:25:50,389 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9361 [2025-03-11 04:25:50,426 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9830 [2025-03-11 04:25:50,463 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.9549 [2025-03-11 04:25:50,523 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.3232 [2025-03-11 04:25:50,551 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3104 [2025-03-11 04:25:50,601 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.9352 [2025-03-11 04:25:50,640 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9773 [2025-03-11 04:25:50,679 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1874 [2025-03-11 04:25:50,715 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3574 [2025-03-11 04:25:50,782 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0908 [2025-03-11 04:25:50,829 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.1107 [2025-03-11 04:25:50,884 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9597 [2025-03-11 04:25:50,938 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6724 [2025-03-11 04:25:50,987 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.8379 [2025-03-11 04:25:51,043 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5413 [2025-03-11 04:25:51,076 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.8966 [2025-03-11 04:25:51,135 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4585 [2025-03-11 04:25:51,161 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9805 [2025-03-11 04:25:52,335 INFO hook.py line 674 2389709] ######################################## [2025-03-11 04:25:52,336 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 04:25:52,336 INFO hook.py line 680 2389709] ######################################## [2025-03-11 04:25:52,336 INFO hook.py line 689 2389709] wall : 0.7708 0.9310 [2025-03-11 04:25:52,336 INFO hook.py line 689 2389709] chair : 0.6541 0.7739 [2025-03-11 04:25:52,336 INFO hook.py line 689 2389709] floor : 0.9550 0.9788 [2025-03-11 04:25:52,336 INFO hook.py line 689 2389709] table : 0.6034 0.6990 [2025-03-11 04:25:52,336 INFO hook.py line 689 2389709] door : 0.6278 0.7702 [2025-03-11 04:25:52,336 INFO hook.py line 689 2389709] couch : 0.7825 0.9103 [2025-03-11 04:25:52,336 INFO hook.py line 689 2389709] cabinet : 0.3001 0.4602 [2025-03-11 04:25:52,336 INFO hook.py line 689 2389709] shelf : 0.4050 0.6826 [2025-03-11 04:25:52,337 INFO hook.py line 689 2389709] desk : 0.5636 0.8351 [2025-03-11 04:25:52,337 INFO hook.py line 689 2389709] office chair : 0.2618 0.5944 [2025-03-11 04:25:52,337 INFO hook.py line 689 2389709] bed : 0.7452 0.8841 [2025-03-11 04:25:52,337 INFO hook.py line 689 2389709] pillow : 0.5140 0.7551 [2025-03-11 04:25:52,337 INFO hook.py line 689 2389709] sink : 0.6370 0.7322 [2025-03-11 04:25:52,337 INFO hook.py line 689 2389709] picture : 0.3648 0.5407 [2025-03-11 04:25:52,337 INFO hook.py line 689 2389709] window : 0.5826 0.7182 [2025-03-11 04:25:52,337 INFO hook.py line 689 2389709] toilet : 0.9354 0.9554 [2025-03-11 04:25:52,337 INFO hook.py line 689 2389709] bookshelf : 0.4386 0.5252 [2025-03-11 04:25:52,337 INFO hook.py line 689 2389709] monitor : 0.8527 0.9265 [2025-03-11 04:25:52,337 INFO hook.py line 689 2389709] curtain : 0.7014 0.8292 [2025-03-11 04:25:52,338 INFO hook.py line 689 2389709] book : 0.4458 0.6891 [2025-03-11 04:25:52,338 INFO hook.py line 689 2389709] armchair : 0.3951 0.4514 [2025-03-11 04:25:52,338 INFO hook.py line 689 2389709] coffee table : 0.4684 0.6238 [2025-03-11 04:25:52,338 INFO hook.py line 689 2389709] box : 0.2638 0.3300 [2025-03-11 04:25:52,338 INFO hook.py line 689 2389709] refrigerator : 0.5137 0.5338 [2025-03-11 04:25:52,338 INFO hook.py line 689 2389709] lamp : 0.6498 0.7761 [2025-03-11 04:25:52,338 INFO hook.py line 689 2389709] kitchen cabinet: 0.6575 0.8335 [2025-03-11 04:25:52,338 INFO hook.py line 689 2389709] towel : 0.4756 0.7120 [2025-03-11 04:25:52,338 INFO hook.py line 689 2389709] clothes : 0.2183 0.3936 [2025-03-11 04:25:52,338 INFO hook.py line 689 2389709] tv : 0.7619 0.7870 [2025-03-11 04:25:52,339 INFO hook.py line 689 2389709] nightstand : 0.6412 0.8565 [2025-03-11 04:25:52,339 INFO hook.py line 689 2389709] counter : 0.2863 0.3993 [2025-03-11 04:25:52,339 INFO hook.py line 689 2389709] dresser : 0.3011 0.4728 [2025-03-11 04:25:52,339 INFO hook.py line 689 2389709] stool : 0.4855 0.6435 [2025-03-11 04:25:52,339 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 04:25:52,339 INFO hook.py line 689 2389709] plant : 0.4407 0.4574 [2025-03-11 04:25:52,339 INFO hook.py line 689 2389709] ceiling : 0.9182 0.9458 [2025-03-11 04:25:52,339 INFO hook.py line 689 2389709] bathtub : 0.8646 0.9069 [2025-03-11 04:25:52,339 INFO hook.py line 689 2389709] end table : 0.2871 0.3937 [2025-03-11 04:25:52,339 INFO hook.py line 689 2389709] dining table : 0.0520 0.1478 [2025-03-11 04:25:52,339 INFO hook.py line 689 2389709] keyboard : 0.4105 0.6359 [2025-03-11 04:25:52,339 INFO hook.py line 689 2389709] bag : 0.2208 0.4512 [2025-03-11 04:25:52,340 INFO hook.py line 689 2389709] backpack : 0.5789 0.6360 [2025-03-11 04:25:52,340 INFO hook.py line 689 2389709] toilet paper : 0.4293 0.6019 [2025-03-11 04:25:52,340 INFO hook.py line 689 2389709] printer : 0.5410 0.6702 [2025-03-11 04:25:52,340 INFO hook.py line 689 2389709] tv stand : 0.5877 0.6411 [2025-03-11 04:25:52,340 INFO hook.py line 689 2389709] whiteboard : 0.5320 0.6776 [2025-03-11 04:25:52,340 INFO hook.py line 689 2389709] blanket : 0.0534 0.0786 [2025-03-11 04:25:52,340 INFO hook.py line 689 2389709] shower curtain : 0.5925 0.6546 [2025-03-11 04:25:52,340 INFO hook.py line 689 2389709] trash can : 0.6037 0.8615 [2025-03-11 04:25:52,340 INFO hook.py line 689 2389709] closet : 0.0950 0.1112 [2025-03-11 04:25:52,340 INFO hook.py line 689 2389709] stairs : 0.4681 0.6263 [2025-03-11 04:25:52,340 INFO hook.py line 689 2389709] microwave : 0.5255 0.7194 [2025-03-11 04:25:52,341 INFO hook.py line 689 2389709] stove : 0.5647 0.6769 [2025-03-11 04:25:52,341 INFO hook.py line 689 2389709] shoe : 0.4877 0.7320 [2025-03-11 04:25:52,341 INFO hook.py line 689 2389709] computer tower : 0.5351 0.7174 [2025-03-11 04:25:52,341 INFO hook.py line 689 2389709] bottle : 0.1428 0.4015 [2025-03-11 04:25:52,341 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 04:25:52,341 INFO hook.py line 689 2389709] ottoman : 0.3700 0.4082 [2025-03-11 04:25:52,341 INFO hook.py line 689 2389709] bench : 0.3412 0.3909 [2025-03-11 04:25:52,341 INFO hook.py line 689 2389709] board : 0.1748 0.2373 [2025-03-11 04:25:52,341 INFO hook.py line 689 2389709] washing machine: 0.8672 0.9295 [2025-03-11 04:25:52,341 INFO hook.py line 689 2389709] mirror : 0.3549 0.4322 [2025-03-11 04:25:52,341 INFO hook.py line 689 2389709] copier : 0.8343 0.8767 [2025-03-11 04:25:52,342 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 04:25:52,342 INFO hook.py line 689 2389709] sofa chair : 0.0428 0.0495 [2025-03-11 04:25:52,342 INFO hook.py line 689 2389709] file cabinet : 0.4139 0.4527 [2025-03-11 04:25:52,342 INFO hook.py line 689 2389709] fan : 0.2894 0.4598 [2025-03-11 04:25:52,342 INFO hook.py line 689 2389709] laptop : 0.4419 0.6891 [2025-03-11 04:25:52,342 INFO hook.py line 689 2389709] shower : 0.2152 0.2257 [2025-03-11 04:25:52,342 INFO hook.py line 689 2389709] paper : 0.0402 0.0486 [2025-03-11 04:25:52,342 INFO hook.py line 689 2389709] person : 0.3319 0.6263 [2025-03-11 04:25:52,342 INFO hook.py line 689 2389709] paper towel dispenser: 0.6856 0.7984 [2025-03-11 04:25:52,342 INFO hook.py line 689 2389709] oven : 0.0246 0.0301 [2025-03-11 04:25:52,342 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 04:25:52,343 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 04:25:52,343 INFO hook.py line 689 2389709] plate : 0.0325 0.1032 [2025-03-11 04:25:52,343 INFO hook.py line 689 2389709] blackboard : 0.5712 0.5997 [2025-03-11 04:25:52,343 INFO hook.py line 689 2389709] piano : 0.6385 0.8435 [2025-03-11 04:25:52,343 INFO hook.py line 689 2389709] suitcase : 0.4684 0.5183 [2025-03-11 04:25:52,343 INFO hook.py line 689 2389709] rail : 0.0637 0.0735 [2025-03-11 04:25:52,343 INFO hook.py line 689 2389709] radiator : 0.6155 0.6503 [2025-03-11 04:25:52,343 INFO hook.py line 689 2389709] recycling bin : 0.4600 0.5056 [2025-03-11 04:25:52,343 INFO hook.py line 689 2389709] container : 0.0032 0.0054 [2025-03-11 04:25:52,343 INFO hook.py line 689 2389709] wardrobe : 0.1885 0.2627 [2025-03-11 04:25:52,343 INFO hook.py line 689 2389709] soap dispenser : 0.7747 0.7974 [2025-03-11 04:25:52,344 INFO hook.py line 689 2389709] telephone : 0.3184 0.4878 [2025-03-11 04:25:52,344 INFO hook.py line 689 2389709] bucket : 0.1840 0.1960 [2025-03-11 04:25:52,344 INFO hook.py line 689 2389709] clock : 0.2909 0.3813 [2025-03-11 04:25:52,344 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 04:25:52,344 INFO hook.py line 689 2389709] light : 0.0455 0.0536 [2025-03-11 04:25:52,344 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 [2025-03-11 04:25:52,344 INFO hook.py line 689 2389709] pipe : 0.0937 0.1744 [2025-03-11 04:25:52,344 INFO hook.py line 689 2389709] clothes dryer : 0.3669 0.3747 [2025-03-11 04:25:52,344 INFO hook.py line 689 2389709] guitar : 0.5401 0.9053 [2025-03-11 04:25:52,344 INFO hook.py line 689 2389709] toilet paper holder: 0.0074 0.0210 [2025-03-11 04:25:52,344 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 04:25:52,344 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 04:25:52,345 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 04:25:52,345 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 04:25:52,345 INFO hook.py line 689 2389709] ladder : 0.1721 0.1927 [2025-03-11 04:25:52,345 INFO hook.py line 689 2389709] bathroom stall : 0.3005 0.3260 [2025-03-11 04:25:52,345 INFO hook.py line 689 2389709] shower wall : 0.3967 0.5002 [2025-03-11 04:25:52,345 INFO hook.py line 689 2389709] cup : 0.1989 0.3843 [2025-03-11 04:25:52,345 INFO hook.py line 689 2389709] jacket : 0.1543 0.2272 [2025-03-11 04:25:52,345 INFO hook.py line 689 2389709] storage bin : 0.0022 0.0023 [2025-03-11 04:25:52,345 INFO hook.py line 689 2389709] coffee maker : 0.7353 0.9424 [2025-03-11 04:25:52,345 INFO hook.py line 689 2389709] dishwasher : 0.3117 0.4416 [2025-03-11 04:25:52,345 INFO hook.py line 689 2389709] paper towel roll: 0.3101 0.3985 [2025-03-11 04:25:52,346 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 04:25:52,346 INFO hook.py line 689 2389709] mat : 0.1739 0.1808 [2025-03-11 04:25:52,346 INFO hook.py line 689 2389709] windowsill : 0.0597 0.0610 [2025-03-11 04:25:52,346 INFO hook.py line 689 2389709] bar : 0.0937 0.1416 [2025-03-11 04:25:52,346 INFO hook.py line 689 2389709] toaster : 0.0069 0.0114 [2025-03-11 04:25:52,346 INFO hook.py line 689 2389709] bulletin board : 0.1217 0.1524 [2025-03-11 04:25:52,346 INFO hook.py line 689 2389709] ironing board : 0.0519 0.0558 [2025-03-11 04:25:52,346 INFO hook.py line 689 2389709] fireplace : 0.4173 0.4305 [2025-03-11 04:25:52,346 INFO hook.py line 689 2389709] soap dish : 0.3194 0.4509 [2025-03-11 04:25:52,346 INFO hook.py line 689 2389709] kitchen counter: 0.5608 0.7482 [2025-03-11 04:25:52,346 INFO hook.py line 689 2389709] doorframe : 0.3987 0.6460 [2025-03-11 04:25:52,347 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3250 0.4078 [2025-03-11 04:25:52,347 INFO hook.py line 689 2389709] mini fridge : 0.2335 0.2380 [2025-03-11 04:25:52,347 INFO hook.py line 689 2389709] fire extinguisher: 0.0979 0.1130 [2025-03-11 04:25:52,347 INFO hook.py line 689 2389709] ball : 0.5807 0.7456 [2025-03-11 04:25:52,347 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 04:25:52,347 INFO hook.py line 689 2389709] shower curtain rod: 0.4400 0.8290 [2025-03-11 04:25:52,347 INFO hook.py line 689 2389709] water cooler : 0.2004 0.2181 [2025-03-11 04:25:52,347 INFO hook.py line 689 2389709] paper cutter : 0.2451 0.2950 [2025-03-11 04:25:52,347 INFO hook.py line 689 2389709] tray : 0.0037 0.0057 [2025-03-11 04:25:52,347 INFO hook.py line 689 2389709] shower door : 0.1630 0.1895 [2025-03-11 04:25:52,347 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 04:25:52,348 INFO hook.py line 689 2389709] ledge : 0.0473 0.0658 [2025-03-11 04:25:52,348 INFO hook.py line 689 2389709] toaster oven : 0.0014 0.0014 [2025-03-11 04:25:52,348 INFO hook.py line 689 2389709] mouse : 0.0599 0.4079 [2025-03-11 04:25:52,348 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7482 0.8139 [2025-03-11 04:25:52,348 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 04:25:52,348 INFO hook.py line 689 2389709] cart : 0.0998 0.1236 [2025-03-11 04:25:52,348 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 04:25:52,348 INFO hook.py line 689 2389709] scale : 0.5113 0.9337 [2025-03-11 04:25:52,348 INFO hook.py line 689 2389709] tissue box : 0.2555 0.4342 [2025-03-11 04:25:52,348 INFO hook.py line 689 2389709] light switch : 0.0218 0.0818 [2025-03-11 04:25:52,348 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 04:25:52,349 INFO hook.py line 689 2389709] power outlet : 0.1527 0.4689 [2025-03-11 04:25:52,349 INFO hook.py line 689 2389709] decoration : 0.1024 0.1208 [2025-03-11 04:25:52,349 INFO hook.py line 689 2389709] sign : 0.0036 0.0050 [2025-03-11 04:25:52,349 INFO hook.py line 689 2389709] projector : 0.1101 0.8737 [2025-03-11 04:25:52,349 INFO hook.py line 689 2389709] closet door : 0.0329 0.0361 [2025-03-11 04:25:52,349 INFO hook.py line 689 2389709] vacuum cleaner : 0.8544 0.8868 [2025-03-11 04:25:52,349 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 04:25:52,349 INFO hook.py line 689 2389709] plunger : 0.5513 0.9556 [2025-03-11 04:25:52,349 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 04:25:52,349 INFO hook.py line 689 2389709] headphones : 0.0093 0.0122 [2025-03-11 04:25:52,349 INFO hook.py line 689 2389709] dish rack : 0.8325 0.8386 [2025-03-11 04:25:52,349 INFO hook.py line 689 2389709] broom : 0.0261 0.0646 [2025-03-11 04:25:52,350 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 04:25:52,350 INFO hook.py line 689 2389709] range hood : 0.7545 0.8189 [2025-03-11 04:25:52,350 INFO hook.py line 689 2389709] dustpan : 0.0768 0.2365 [2025-03-11 04:25:52,350 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 04:25:52,350 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 04:25:52,350 INFO hook.py line 689 2389709] handicap bar : 0.0193 0.2080 [2025-03-11 04:25:52,350 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 04:25:52,350 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 04:25:52,350 INFO hook.py line 689 2389709] shower floor : 0.9042 0.9639 [2025-03-11 04:25:52,350 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 04:25:52,350 INFO hook.py line 689 2389709] mailbox : 0.1167 0.1168 [2025-03-11 04:25:52,351 INFO hook.py line 689 2389709] bowl : 0.0763 0.0865 [2025-03-11 04:25:52,351 INFO hook.py line 689 2389709] paper bag : 0.0408 0.0738 [2025-03-11 04:25:52,351 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 04:25:52,351 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 04:25:52,351 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 04:25:52,351 INFO hook.py line 689 2389709] divider : 0.4028 0.4971 [2025-03-11 04:25:52,351 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 04:25:52,351 INFO hook.py line 689 2389709] bathroom counter: 0.3529 0.4294 [2025-03-11 04:25:52,351 INFO hook.py line 689 2389709] object : 0.0387 0.0826 [2025-03-11 04:25:52,351 INFO hook.py line 689 2389709] bathroom vanity: 0.4856 0.8009 [2025-03-11 04:25:52,351 INFO hook.py line 689 2389709] closet wall : 0.0424 0.0629 [2025-03-11 04:25:52,352 INFO hook.py line 689 2389709] laundry hamper : 0.0104 0.0125 [2025-03-11 04:25:52,352 INFO hook.py line 689 2389709] bathroom stall door: 0.5296 0.7647 [2025-03-11 04:25:52,352 INFO hook.py line 689 2389709] ceiling light : 0.2214 0.3399 [2025-03-11 04:25:52,352 INFO hook.py line 689 2389709] trash bin : 0.3235 0.4290 [2025-03-11 04:25:52,352 INFO hook.py line 689 2389709] dumbbell : 0.3049 0.9594 [2025-03-11 04:25:52,352 INFO hook.py line 689 2389709] stair rail : 0.1463 0.1736 [2025-03-11 04:25:52,352 INFO hook.py line 689 2389709] tube : 0.1386 0.2491 [2025-03-11 04:25:52,352 INFO hook.py line 689 2389709] bathroom cabinet: 0.2541 0.3750 [2025-03-11 04:25:52,352 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 04:25:52,352 INFO hook.py line 689 2389709] closet rod : 0.3308 0.8824 [2025-03-11 04:25:52,352 INFO hook.py line 689 2389709] coffee kettle : 0.1085 0.1747 [2025-03-11 04:25:52,353 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 04:25:52,353 INFO hook.py line 689 2389709] shower head : 0.2294 0.3530 [2025-03-11 04:25:52,353 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 04:25:52,353 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 04:25:52,353 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 04:25:52,353 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 04:25:52,353 INFO hook.py line 689 2389709] folded chair : 0.1770 0.3889 [2025-03-11 04:25:52,353 INFO hook.py line 689 2389709] fire alarm : 0.0568 0.4286 [2025-03-11 04:25:52,353 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 04:25:52,353 INFO hook.py line 689 2389709] calendar : 0.0032 0.0070 [2025-03-11 04:25:52,353 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 04:25:52,353 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 04:25:52,354 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 04:25:52,354 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 [2025-03-11 04:25:52,354 INFO hook.py line 690 2389709] ######################################## [2025-03-11 04:25:52,354 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2846/0.3787/0.8033. [2025-03-11 04:25:52,356 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 04:25:52,373 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 [2025-03-11 04:25:52,374 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 04:26:22,480 INFO hook.py line 566 2389709] Train: [58/100][50/300] Data 0.002 (0.002) Batch 0.443 (0.484) Remain 01:43:45 loss: 0.7122 Lr: 2.11737e-03 [2025-03-11 04:26:47,486 INFO hook.py line 566 2389709] Train: [58/100][100/300] Data 0.002 (0.002) Batch 0.477 (0.493) Remain 01:45:04 loss: 0.3883 Lr: 2.10376e-03 [2025-03-11 04:27:12,033 INFO hook.py line 566 2389709] Train: [58/100][150/300] Data 0.002 (0.002) Batch 0.536 (0.492) Remain 01:44:32 loss: 0.6846 Lr: 2.09016e-03 [2025-03-11 04:27:36,562 INFO hook.py line 566 2389709] Train: [58/100][200/300] Data 0.003 (0.002) Batch 0.476 (0.492) Remain 01:44:03 loss: 0.6504 Lr: 2.07658e-03 [2025-03-11 04:28:01,370 INFO hook.py line 566 2389709] Train: [58/100][250/300] Data 0.002 (0.002) Batch 0.540 (0.493) Remain 01:43:50 loss: 0.7110 Lr: 2.06301e-03 [2025-03-11 04:28:25,576 INFO hook.py line 566 2389709] Train: [58/100][300/300] Data 0.002 (0.002) Batch 0.496 (0.491) Remain 01:43:08 loss: 0.4888 Lr: 2.04945e-03 [2025-03-11 04:28:25,577 INFO misc.py line 135 2389709] Train result: loss: 0.6459 [2025-03-11 04:28:25,669 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 04:29:18,608 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6030 [2025-03-11 04:29:18,718 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.5492 [2025-03-11 04:29:18,754 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5410 [2025-03-11 04:29:18,807 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5365 [2025-03-11 04:29:18,841 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8044 [2025-03-11 04:29:18,900 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.9751 [2025-03-11 04:29:18,951 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8058 [2025-03-11 04:29:18,985 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2995 [2025-03-11 04:29:19,030 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3025 [2025-03-11 04:29:19,070 INFO hook.py line 748 2389709] Test: [10/78] Loss 0.9267 [2025-03-11 04:29:19,120 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1201 [2025-03-11 04:29:19,157 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2270 [2025-03-11 04:29:19,206 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.0994 [2025-03-11 04:29:19,247 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.5829 [2025-03-11 04:29:19,284 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0587 [2025-03-11 04:29:19,331 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1200 [2025-03-11 04:29:19,368 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4462 [2025-03-11 04:29:19,413 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.7560 [2025-03-11 04:29:19,461 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.6377 [2025-03-11 04:29:19,513 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5442 [2025-03-11 04:29:19,552 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7521 [2025-03-11 04:29:19,592 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.3287 [2025-03-11 04:29:19,624 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4245 [2025-03-11 04:29:19,680 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0512 [2025-03-11 04:29:19,726 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.6743 [2025-03-11 04:29:19,768 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.3310 [2025-03-11 04:29:19,825 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0936 [2025-03-11 04:29:19,864 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8134 [2025-03-11 04:29:19,894 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1272 [2025-03-11 04:29:19,951 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.2492 [2025-03-11 04:29:20,011 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5882 [2025-03-11 04:29:20,050 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0645 [2025-03-11 04:29:20,108 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7888 [2025-03-11 04:29:20,147 INFO hook.py line 748 2389709] Test: [34/78] Loss 3.5221 [2025-03-11 04:29:20,184 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.4127 [2025-03-11 04:29:20,223 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5143 [2025-03-11 04:29:20,263 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.4403 [2025-03-11 04:29:20,298 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8885 [2025-03-11 04:29:20,366 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.1400 [2025-03-11 04:29:20,419 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5389 [2025-03-11 04:29:20,464 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4869 [2025-03-11 04:29:20,493 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4098 [2025-03-11 04:29:20,528 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.8646 [2025-03-11 04:29:20,590 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8713 [2025-03-11 04:29:20,626 INFO hook.py line 748 2389709] Test: [45/78] Loss 2.2355 [2025-03-11 04:29:20,678 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1789 [2025-03-11 04:29:20,722 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.4694 [2025-03-11 04:29:20,756 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.8830 [2025-03-11 04:29:20,787 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4325 [2025-03-11 04:29:20,820 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.6345 [2025-03-11 04:29:20,850 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9128 [2025-03-11 04:29:20,885 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6866 [2025-03-11 04:29:20,912 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4637 [2025-03-11 04:29:20,947 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.4744 [2025-03-11 04:29:20,984 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3840 [2025-03-11 04:29:21,026 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0754 [2025-03-11 04:29:21,059 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.2270 [2025-03-11 04:29:21,084 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.0298 [2025-03-11 04:29:21,122 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8320 [2025-03-11 04:29:21,158 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6039 [2025-03-11 04:29:21,182 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9855 [2025-03-11 04:29:21,217 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9098 [2025-03-11 04:29:21,254 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2824 [2025-03-11 04:29:21,312 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9686 [2025-03-11 04:29:21,339 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4257 [2025-03-11 04:29:21,382 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.9161 [2025-03-11 04:29:21,421 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1668 [2025-03-11 04:29:21,458 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0430 [2025-03-11 04:29:21,488 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3333 [2025-03-11 04:29:21,548 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.5073 [2025-03-11 04:29:21,592 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5617 [2025-03-11 04:29:21,646 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.4652 [2025-03-11 04:29:21,701 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5731 [2025-03-11 04:29:21,744 INFO hook.py line 748 2389709] Test: [74/78] Loss 4.0548 [2025-03-11 04:29:21,795 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5133 [2025-03-11 04:29:21,823 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0727 [2025-03-11 04:29:21,882 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4945 [2025-03-11 04:29:21,908 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8308 [2025-03-11 04:29:23,222 INFO hook.py line 674 2389709] ######################################## [2025-03-11 04:29:23,223 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 04:29:23,223 INFO hook.py line 680 2389709] ######################################## [2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] wall : 0.7747 0.9169 [2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] chair : 0.6997 0.8348 [2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] floor : 0.9566 0.9815 [2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] table : 0.5971 0.7462 [2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] door : 0.6325 0.8007 [2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] couch : 0.7708 0.9270 [2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] cabinet : 0.2836 0.3496 [2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] shelf : 0.3149 0.4318 [2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] desk : 0.5443 0.7796 [2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] office chair : 0.1832 0.3150 [2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] bed : 0.7670 0.8995 [2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] pillow : 0.5344 0.7053 [2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] sink : 0.6369 0.7313 [2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] picture : 0.3783 0.5085 [2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] window : 0.5694 0.7101 [2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] toilet : 0.9378 0.9608 [2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] bookshelf : 0.4509 0.6369 [2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] monitor : 0.8125 0.8733 [2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] curtain : 0.6539 0.8378 [2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] book : 0.4049 0.7342 [2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] armchair : 0.6390 0.8586 [2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] coffee table : 0.5967 0.8900 [2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] box : 0.2877 0.4416 [2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] refrigerator : 0.6311 0.6854 [2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] lamp : 0.6423 0.7104 [2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] kitchen cabinet: 0.6327 0.7778 [2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] towel : 0.4032 0.5434 [2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] clothes : 0.1905 0.4290 [2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] tv : 0.8340 0.9121 [2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] nightstand : 0.6326 0.8392 [2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] counter : 0.2744 0.3974 [2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] dresser : 0.2903 0.3841 [2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] stool : 0.4845 0.5967 [2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] plant : 0.3369 0.3468 [2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] ceiling : 0.9214 0.9557 [2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] bathtub : 0.8609 0.9120 [2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] end table : 0.1519 0.2398 [2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] dining table : 0.0467 0.1183 [2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] keyboard : 0.4216 0.5350 [2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] bag : 0.1958 0.2896 [2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] backpack : 0.5728 0.7136 [2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] toilet paper : 0.4905 0.6111 [2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] printer : 0.4722 0.7449 [2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] tv stand : 0.7292 0.8550 [2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] whiteboard : 0.4684 0.7388 [2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] blanket : 0.0281 0.0365 [2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] shower curtain : 0.6598 0.7863 [2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] trash can : 0.6471 0.7902 [2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] closet : 0.0892 0.1010 [2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] stairs : 0.4938 0.5998 [2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] microwave : 0.4412 0.6239 [2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] stove : 0.6323 0.8335 [2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] shoe : 0.4037 0.4641 [2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] computer tower : 0.4861 0.8398 [2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] bottle : 0.0918 0.1530 [2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] ottoman : 0.2182 0.2492 [2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] bench : 0.3400 0.4449 [2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] board : 0.1618 0.2292 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] washing machine: 0.8011 0.9196 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] mirror : 0.3602 0.4277 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] copier : 0.7306 0.9086 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] sofa chair : 0.1037 0.1387 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] file cabinet : 0.4229 0.5805 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] fan : 0.2432 0.2723 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] laptop : 0.5482 0.8074 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] shower : 0.2463 0.2866 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] paper : 0.0422 0.0465 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] person : 0.0981 0.6580 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] paper towel dispenser: 0.5888 0.7694 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] blackboard : 0.5533 0.5768 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] piano : 0.3961 0.7670 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] suitcase : 0.5340 0.7636 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] rail : 0.0233 0.0260 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] radiator : 0.6016 0.7017 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] recycling bin : 0.4715 0.6964 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] wardrobe : 0.1610 0.1809 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] soap dispenser : 0.7951 0.8425 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] telephone : 0.3210 0.4202 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] bucket : 0.3584 0.5822 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] clock : 0.3077 0.3487 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] stand : 0.0834 0.1505 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] light : 0.0295 0.0450 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] laundry basket : 0.0446 0.0474 [2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] pipe : 0.0000 0.0000 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] clothes dryer : 0.3983 0.4166 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] guitar : 0.0000 0.0000 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] ladder : 0.4108 0.4597 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] bathroom stall : 0.3749 0.4630 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] shower wall : 0.4488 0.5368 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] cup : 0.2309 0.4047 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] jacket : 0.0843 0.1561 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] coffee maker : 0.8507 0.9913 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] dishwasher : 0.4155 0.5647 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] paper towel roll: 0.1990 0.2219 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] mat : 0.1699 0.1831 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] windowsill : 0.1200 0.1256 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] bar : 0.1528 0.2197 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] toaster : 0.0172 0.0226 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] bulletin board : 0.2019 0.4768 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] ironing board : 0.0720 0.0797 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] fireplace : 0.4432 0.4585 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] soap dish : 0.3554 0.4834 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] kitchen counter: 0.5408 0.6982 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] doorframe : 0.3906 0.6203 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4701 0.5652 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] mini fridge : 0.3984 0.5223 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] ball : 0.2749 0.6276 [2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] shower curtain rod: 0.3496 0.8855 [2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] water cooler : 0.4684 0.5098 [2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] paper cutter : 0.2348 0.2630 [2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] tray : 0.0076 0.0095 [2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] shower door : 0.1707 0.1961 [2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] pillar : 0.0030 0.0030 [2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] ledge : 0.0382 0.0434 [2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] toaster oven : 0.0220 0.0220 [2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] mouse : 0.0433 0.2398 [2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6843 0.8004 [2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] cart : 0.1491 0.1735 [2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] scale : 0.5293 0.8778 [2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] tissue box : 0.2948 0.4350 [2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] light switch : 0.0179 0.0581 [2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] power outlet : 0.2756 0.3008 [2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] decoration : 0.4231 0.4822 [2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] sign : 0.0382 0.0453 [2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] projector : 0.0837 0.3604 [2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] closet door : 0.0279 0.0348 [2025-03-11 04:29:23,229 INFO hook.py line 689 2389709] vacuum cleaner : 0.8218 0.9669 [2025-03-11 04:29:23,229 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 04:29:23,229 INFO hook.py line 689 2389709] plunger : 0.4959 0.9839 [2025-03-11 04:29:23,229 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 04:29:23,229 INFO hook.py line 689 2389709] headphones : 0.0155 0.0189 [2025-03-11 04:29:23,229 INFO hook.py line 689 2389709] dish rack : 0.6835 0.7212 [2025-03-11 04:29:23,229 INFO hook.py line 689 2389709] broom : 0.0630 0.1220 [2025-03-11 04:29:23,229 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 04:29:23,229 INFO hook.py line 689 2389709] range hood : 0.5575 0.6008 [2025-03-11 04:29:23,229 INFO hook.py line 689 2389709] dustpan : 0.0013 0.0019 [2025-03-11 04:29:23,229 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 04:29:23,230 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 04:29:23,230 INFO hook.py line 689 2389709] handicap bar : 0.0521 0.9425 [2025-03-11 04:29:23,230 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 04:29:23,230 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 04:29:23,230 INFO hook.py line 689 2389709] shower floor : 0.9417 0.9867 [2025-03-11 04:29:23,230 INFO hook.py line 689 2389709] water pitcher : 0.0030 0.0112 [2025-03-11 04:29:23,230 INFO hook.py line 689 2389709] mailbox : 0.2127 0.2144 [2025-03-11 04:29:23,230 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 [2025-03-11 04:29:23,230 INFO hook.py line 689 2389709] paper bag : 0.0618 0.1074 [2025-03-11 04:29:23,230 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 04:29:23,230 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 04:29:23,231 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 04:29:23,231 INFO hook.py line 689 2389709] divider : 0.4431 0.5582 [2025-03-11 04:29:23,231 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 04:29:23,231 INFO hook.py line 689 2389709] bathroom counter: 0.3197 0.3951 [2025-03-11 04:29:23,231 INFO hook.py line 689 2389709] object : 0.0294 0.0457 [2025-03-11 04:29:23,231 INFO hook.py line 689 2389709] bathroom vanity: 0.4738 0.8729 [2025-03-11 04:29:23,231 INFO hook.py line 689 2389709] closet wall : 0.0422 0.0553 [2025-03-11 04:29:23,231 INFO hook.py line 689 2389709] laundry hamper : 0.1602 0.2233 [2025-03-11 04:29:23,231 INFO hook.py line 689 2389709] bathroom stall door: 0.3873 0.6889 [2025-03-11 04:29:23,231 INFO hook.py line 689 2389709] ceiling light : 0.3141 0.4925 [2025-03-11 04:29:23,231 INFO hook.py line 689 2389709] trash bin : 0.3485 0.4875 [2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] dumbbell : 0.7904 0.9781 [2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] stair rail : 0.1711 0.1987 [2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] tube : 0.0754 0.0887 [2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] bathroom cabinet: 0.0205 0.0206 [2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] closet rod : 0.4185 0.8758 [2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] coffee kettle : 0.1000 0.1107 [2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] shower head : 0.2686 0.3377 [2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] keyboard piano : 0.0956 0.1186 [2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] case of water bottles: 0.4107 0.4574 [2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] mattress : 0.0025 0.0025 [2025-03-11 04:29:23,232 INFO hook.py line 690 2389709] ######################################## [2025-03-11 04:29:23,232 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2867/0.3802/0.8056. [2025-03-11 04:29:23,233 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 04:29:23,237 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 [2025-03-11 04:29:23,237 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 04:29:53,734 INFO hook.py line 566 2389709] Train: [59/100][50/300] Data 0.004 (0.002) Batch 0.483 (0.492) Remain 01:42:53 loss: 0.6775 Lr: 2.03590e-03 [2025-03-11 04:30:18,372 INFO hook.py line 566 2389709] Train: [59/100][100/300] Data 0.002 (0.002) Batch 0.470 (0.492) Remain 01:42:34 loss: 0.9320 Lr: 2.02237e-03 [2025-03-11 04:30:43,082 INFO hook.py line 566 2389709] Train: [59/100][150/300] Data 0.004 (0.002) Batch 0.404 (0.493) Remain 01:42:17 loss: 0.6063 Lr: 2.00886e-03 [2025-03-11 04:31:07,443 INFO hook.py line 566 2389709] Train: [59/100][200/300] Data 0.002 (0.002) Batch 0.455 (0.492) Remain 01:41:34 loss: 0.6000 Lr: 1.99536e-03 [2025-03-11 04:31:31,980 INFO hook.py line 566 2389709] Train: [59/100][250/300] Data 0.002 (0.002) Batch 0.504 (0.491) Remain 01:41:08 loss: 0.4402 Lr: 1.98187e-03 [2025-03-11 04:31:56,189 INFO hook.py line 566 2389709] Train: [59/100][300/300] Data 0.001 (0.002) Batch 0.451 (0.490) Remain 01:40:28 loss: 0.7859 Lr: 1.96840e-03 [2025-03-11 04:31:56,190 INFO misc.py line 135 2389709] Train result: loss: 0.6366 [2025-03-11 04:31:56,264 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 04:32:56,894 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4321 [2025-03-11 04:32:56,985 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.4748 [2025-03-11 04:32:57,045 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4692 [2025-03-11 04:32:57,098 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4640 [2025-03-11 04:32:57,142 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8484 [2025-03-11 04:32:57,202 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0797 [2025-03-11 04:32:57,255 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.6738 [2025-03-11 04:32:57,288 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4661 [2025-03-11 04:32:57,332 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3096 [2025-03-11 04:32:57,370 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.5060 [2025-03-11 04:32:57,422 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1382 [2025-03-11 04:32:57,462 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.5566 [2025-03-11 04:32:57,511 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.8885 [2025-03-11 04:32:57,569 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.5650 [2025-03-11 04:32:57,606 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2001 [2025-03-11 04:32:57,654 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.4754 [2025-03-11 04:32:57,694 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3339 [2025-03-11 04:32:57,741 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0059 [2025-03-11 04:32:57,794 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5389 [2025-03-11 04:32:57,831 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5642 [2025-03-11 04:32:57,881 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7582 [2025-03-11 04:32:57,926 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.0659 [2025-03-11 04:32:57,958 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.1809 [2025-03-11 04:32:58,012 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9594 [2025-03-11 04:32:58,066 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5170 [2025-03-11 04:32:58,114 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.6083 [2025-03-11 04:32:58,172 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9498 [2025-03-11 04:32:58,212 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5410 [2025-03-11 04:32:58,244 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0869 [2025-03-11 04:32:58,303 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5317 [2025-03-11 04:32:58,363 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6870 [2025-03-11 04:32:58,403 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1071 [2025-03-11 04:32:58,461 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8405 [2025-03-11 04:32:58,506 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.6894 [2025-03-11 04:32:58,546 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1337 [2025-03-11 04:32:58,583 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3515 [2025-03-11 04:32:58,628 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.6381 [2025-03-11 04:32:58,666 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8380 [2025-03-11 04:32:58,733 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.2841 [2025-03-11 04:32:58,784 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6466 [2025-03-11 04:32:58,832 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2870 [2025-03-11 04:32:58,860 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4098 [2025-03-11 04:32:58,895 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.9197 [2025-03-11 04:32:58,957 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9148 [2025-03-11 04:32:58,993 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4801 [2025-03-11 04:32:59,040 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0128 [2025-03-11 04:32:59,081 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7279 [2025-03-11 04:32:59,122 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9940 [2025-03-11 04:32:59,158 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3553 [2025-03-11 04:32:59,191 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8546 [2025-03-11 04:32:59,226 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9665 [2025-03-11 04:32:59,266 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7478 [2025-03-11 04:32:59,298 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1927 [2025-03-11 04:32:59,333 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.5804 [2025-03-11 04:32:59,372 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4149 [2025-03-11 04:32:59,413 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0125 [2025-03-11 04:32:59,451 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.6868 [2025-03-11 04:32:59,477 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2367 [2025-03-11 04:32:59,519 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9950 [2025-03-11 04:32:59,560 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6686 [2025-03-11 04:32:59,590 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7342 [2025-03-11 04:32:59,629 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.8856 [2025-03-11 04:32:59,671 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.9170 [2025-03-11 04:32:59,728 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7651 [2025-03-11 04:32:59,766 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.0398 [2025-03-11 04:32:59,809 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7846 [2025-03-11 04:32:59,852 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9647 [2025-03-11 04:32:59,893 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.2086 [2025-03-11 04:32:59,926 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.2857 [2025-03-11 04:32:59,987 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.2132 [2025-03-11 04:33:00,031 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.4750 [2025-03-11 04:33:00,089 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7208 [2025-03-11 04:33:00,151 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7940 [2025-03-11 04:33:00,195 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.5967 [2025-03-11 04:33:00,245 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.7705 [2025-03-11 04:33:00,274 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.3820 [2025-03-11 04:33:00,337 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6185 [2025-03-11 04:33:00,367 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8908 [2025-03-11 04:33:01,736 INFO hook.py line 674 2389709] ######################################## [2025-03-11 04:33:01,737 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 04:33:01,737 INFO hook.py line 680 2389709] ######################################## [2025-03-11 04:33:01,737 INFO hook.py line 689 2389709] wall : 0.7877 0.9237 [2025-03-11 04:33:01,737 INFO hook.py line 689 2389709] chair : 0.6576 0.7507 [2025-03-11 04:33:01,737 INFO hook.py line 689 2389709] floor : 0.9569 0.9802 [2025-03-11 04:33:01,738 INFO hook.py line 689 2389709] table : 0.6487 0.7431 [2025-03-11 04:33:01,738 INFO hook.py line 689 2389709] door : 0.6315 0.7919 [2025-03-11 04:33:01,738 INFO hook.py line 689 2389709] couch : 0.7815 0.9170 [2025-03-11 04:33:01,738 INFO hook.py line 689 2389709] cabinet : 0.3646 0.6477 [2025-03-11 04:33:01,738 INFO hook.py line 689 2389709] shelf : 0.4269 0.5590 [2025-03-11 04:33:01,738 INFO hook.py line 689 2389709] desk : 0.5607 0.7960 [2025-03-11 04:33:01,738 INFO hook.py line 689 2389709] office chair : 0.2124 0.4759 [2025-03-11 04:33:01,738 INFO hook.py line 689 2389709] bed : 0.7647 0.8407 [2025-03-11 04:33:01,738 INFO hook.py line 689 2389709] pillow : 0.5625 0.7882 [2025-03-11 04:33:01,738 INFO hook.py line 689 2389709] sink : 0.6675 0.7778 [2025-03-11 04:33:01,738 INFO hook.py line 689 2389709] picture : 0.3277 0.3883 [2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] window : 0.5606 0.7646 [2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] toilet : 0.9365 0.9642 [2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] bookshelf : 0.4822 0.6786 [2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] monitor : 0.8475 0.9065 [2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] curtain : 0.6509 0.8203 [2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] book : 0.4619 0.6940 [2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] armchair : 0.5319 0.8062 [2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] coffee table : 0.6498 0.8164 [2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] box : 0.3098 0.4020 [2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] refrigerator : 0.6093 0.6513 [2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] lamp : 0.6863 0.7865 [2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] kitchen cabinet: 0.6005 0.6525 [2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] towel : 0.4877 0.6175 [2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] clothes : 0.1990 0.3950 [2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] tv : 0.8220 0.9040 [2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] nightstand : 0.7149 0.8131 [2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] counter : 0.2294 0.4412 [2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] dresser : 0.3587 0.4176 [2025-03-11 04:33:01,740 INFO hook.py line 689 2389709] stool : 0.4858 0.6791 [2025-03-11 04:33:01,740 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 04:33:01,740 INFO hook.py line 689 2389709] plant : 0.6561 0.9099 [2025-03-11 04:33:01,740 INFO hook.py line 689 2389709] ceiling : 0.9332 0.9673 [2025-03-11 04:33:01,740 INFO hook.py line 689 2389709] bathtub : 0.8850 0.9100 [2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] end table : 0.1523 0.2482 [2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] dining table : 0.0807 0.1345 [2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] keyboard : 0.3844 0.6197 [2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] bag : 0.0389 0.0471 [2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] backpack : 0.5615 0.7864 [2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] toilet paper : 0.4177 0.5052 [2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] printer : 0.4434 0.6715 [2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] tv stand : 0.3646 0.3740 [2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] whiteboard : 0.5157 0.6344 [2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] blanket : 0.0390 0.0757 [2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] shower curtain : 0.6099 0.6777 [2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] trash can : 0.6324 0.7743 [2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] closet : 0.1108 0.1521 [2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] stairs : 0.5272 0.6133 [2025-03-11 04:33:01,742 INFO hook.py line 689 2389709] microwave : 0.5331 0.6818 [2025-03-11 04:33:01,742 INFO hook.py line 689 2389709] stove : 0.6402 0.8462 [2025-03-11 04:33:01,742 INFO hook.py line 689 2389709] shoe : 0.5007 0.6360 [2025-03-11 04:33:01,742 INFO hook.py line 689 2389709] computer tower : 0.4593 0.8029 [2025-03-11 04:33:01,742 INFO hook.py line 689 2389709] bottle : 0.1724 0.3434 [2025-03-11 04:33:01,742 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 04:33:01,742 INFO hook.py line 689 2389709] ottoman : 0.3198 0.3478 [2025-03-11 04:33:01,742 INFO hook.py line 689 2389709] bench : 0.3235 0.3671 [2025-03-11 04:33:01,742 INFO hook.py line 689 2389709] board : 0.1911 0.3428 [2025-03-11 04:33:01,742 INFO hook.py line 689 2389709] washing machine: 0.8682 0.9120 [2025-03-11 04:33:01,743 INFO hook.py line 689 2389709] mirror : 0.3762 0.4980 [2025-03-11 04:33:01,743 INFO hook.py line 689 2389709] copier : 0.7825 0.9299 [2025-03-11 04:33:01,743 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 04:33:01,743 INFO hook.py line 689 2389709] sofa chair : 0.1887 0.2937 [2025-03-11 04:33:01,743 INFO hook.py line 689 2389709] file cabinet : 0.4110 0.6353 [2025-03-11 04:33:01,743 INFO hook.py line 689 2389709] fan : 0.3689 0.4294 [2025-03-11 04:33:01,743 INFO hook.py line 689 2389709] laptop : 0.3899 0.6194 [2025-03-11 04:33:01,743 INFO hook.py line 689 2389709] shower : 0.3187 0.3943 [2025-03-11 04:33:01,743 INFO hook.py line 689 2389709] paper : 0.0539 0.1266 [2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] person : 0.2738 0.4886 [2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] paper towel dispenser: 0.4965 0.8524 [2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] oven : 0.0230 0.0239 [2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] blackboard : 0.5514 0.6519 [2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] piano : 0.3476 0.6583 [2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] suitcase : 0.6306 0.8303 [2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] rail : 0.0401 0.0425 [2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] radiator : 0.5607 0.6805 [2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] recycling bin : 0.4546 0.6461 [2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] container : 0.0011 0.0012 [2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] wardrobe : 0.1801 0.2415 [2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] soap dispenser : 0.7737 0.8999 [2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] telephone : 0.3261 0.6159 [2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] bucket : 0.2710 0.3793 [2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] clock : 0.2910 0.3743 [2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] light : 0.0210 0.0251 [2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] laundry basket : 0.0101 0.0129 [2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] pipe : 0.0651 0.1053 [2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] clothes dryer : 0.5251 0.5410 [2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] guitar : 0.6259 0.8698 [2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] toilet paper holder: 0.0298 0.1202 [2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] column : 0.0064 0.0088 [2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] ladder : 0.5173 0.6295 [2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] bathroom stall : 0.3786 0.4435 [2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] shower wall : 0.4393 0.5164 [2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] cup : 0.2477 0.3589 [2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] jacket : 0.1700 0.2524 [2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] storage bin : 0.0096 0.0135 [2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] coffee maker : 0.8772 0.9872 [2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] dishwasher : 0.2415 0.3181 [2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] paper towel roll: 0.2990 0.3593 [2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] mat : 0.2412 0.2571 [2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] windowsill : 0.0373 0.0399 [2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] bar : 0.1543 0.2366 [2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] toaster : 0.0306 0.0341 [2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] bulletin board : 0.3027 0.3463 [2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] ironing board : 0.0819 0.0899 [2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] fireplace : 0.6300 0.6586 [2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] soap dish : 0.3291 0.5472 [2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] kitchen counter: 0.4504 0.5233 [2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] doorframe : 0.3228 0.3713 [2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4179 0.5386 [2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] mini fridge : 0.1761 0.1791 [2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] fire extinguisher: 0.1233 0.1590 [2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] ball : 0.6278 0.8656 [2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 04:33:01,747 INFO hook.py line 689 2389709] shower curtain rod: 0.3559 0.8830 [2025-03-11 04:33:01,747 INFO hook.py line 689 2389709] water cooler : 0.6726 0.7121 [2025-03-11 04:33:01,747 INFO hook.py line 689 2389709] paper cutter : 0.2550 0.3853 [2025-03-11 04:33:01,747 INFO hook.py line 689 2389709] tray : 0.0539 0.1108 [2025-03-11 04:33:01,747 INFO hook.py line 689 2389709] shower door : 0.2449 0.2993 [2025-03-11 04:33:01,747 INFO hook.py line 689 2389709] pillar : 0.0016 0.0017 [2025-03-11 04:33:01,747 INFO hook.py line 689 2389709] ledge : 0.0349 0.0533 [2025-03-11 04:33:01,747 INFO hook.py line 689 2389709] toaster oven : 0.0180 0.0181 [2025-03-11 04:33:01,747 INFO hook.py line 689 2389709] mouse : 0.0632 0.3067 [2025-03-11 04:33:01,747 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6106 0.6769 [2025-03-11 04:33:01,747 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 04:33:01,747 INFO hook.py line 689 2389709] cart : 0.2393 0.2564 [2025-03-11 04:33:01,748 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 04:33:01,748 INFO hook.py line 689 2389709] scale : 0.2798 0.6075 [2025-03-11 04:33:01,748 INFO hook.py line 689 2389709] tissue box : 0.1935 0.2440 [2025-03-11 04:33:01,748 INFO hook.py line 689 2389709] light switch : 0.0209 0.1031 [2025-03-11 04:33:01,748 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 04:33:01,748 INFO hook.py line 689 2389709] power outlet : 0.2717 0.3493 [2025-03-11 04:33:01,748 INFO hook.py line 689 2389709] decoration : 0.2087 0.6662 [2025-03-11 04:33:01,748 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 04:33:01,748 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 [2025-03-11 04:33:01,748 INFO hook.py line 689 2389709] closet door : 0.0340 0.0377 [2025-03-11 04:33:01,748 INFO hook.py line 689 2389709] vacuum cleaner : 0.8394 0.9666 [2025-03-11 04:33:01,748 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] plunger : 0.8213 0.9935 [2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] headphones : 0.0271 0.1019 [2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] dish rack : 0.6638 0.9290 [2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] broom : 0.0952 0.1089 [2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] range hood : 0.7198 0.9324 [2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] dustpan : 0.0079 0.0115 [2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] handicap bar : 0.0649 0.9120 [2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] shower floor : 0.1212 0.1217 [2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] mailbox : 0.3706 0.3873 [2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] bowl : 0.1232 0.1904 [2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] paper bag : 0.0599 0.2606 [2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] divider : 0.4894 0.5752 [2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] bathroom counter: 0.1390 0.1797 [2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] object : 0.0314 0.0489 [2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] bathroom vanity: 0.4822 0.6733 [2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] closet wall : 0.1066 0.1445 [2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] laundry hamper : 0.0425 0.0513 [2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] bathroom stall door: 0.4130 0.7462 [2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] ceiling light : 0.3370 0.4673 [2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] trash bin : 0.2587 0.3148 [2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] dumbbell : 0.5652 0.9689 [2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] stair rail : 0.2024 0.2497 [2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] tube : 0.0734 0.0801 [2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] bathroom cabinet: 0.3450 0.4235 [2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] closet rod : 0.1807 0.8562 [2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] coffee kettle : 0.2205 0.2892 [2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] shower head : 0.2377 0.2579 [2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] case of water bottles: 0.0051 0.0051 [2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] mattress : 0.0619 0.0642 [2025-03-11 04:33:01,751 INFO hook.py line 690 2389709] ######################################## [2025-03-11 04:33:01,754 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2925/0.3886/0.8121. [2025-03-11 04:33:01,755 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 04:33:01,760 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 [2025-03-11 04:33:01,760 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 04:33:31,812 INFO hook.py line 566 2389709] Train: [60/100][50/300] Data 0.003 (0.003) Batch 0.470 (0.493) Remain 01:40:33 loss: 0.5755 Lr: 1.95495e-03 [2025-03-11 04:33:57,111 INFO hook.py line 566 2389709] Train: [60/100][100/300] Data 0.003 (0.002) Batch 0.611 (0.499) Remain 01:41:33 loss: 0.4277 Lr: 1.94151e-03 [2025-03-11 04:34:21,782 INFO hook.py line 566 2389709] Train: [60/100][150/300] Data 0.002 (0.002) Batch 0.542 (0.497) Remain 01:40:43 loss: 0.4586 Lr: 1.92809e-03 [2025-03-11 04:34:46,455 INFO hook.py line 566 2389709] Train: [60/100][200/300] Data 0.002 (0.002) Batch 0.429 (0.496) Remain 01:40:06 loss: 0.5589 Lr: 1.91469e-03 [2025-03-11 04:35:11,180 INFO hook.py line 566 2389709] Train: [60/100][250/300] Data 0.002 (0.002) Batch 0.546 (0.496) Remain 01:39:37 loss: 0.6483 Lr: 1.90130e-03 [2025-03-11 04:35:35,169 INFO hook.py line 566 2389709] Train: [60/100][300/300] Data 0.001 (0.002) Batch 0.502 (0.493) Remain 01:38:39 loss: 0.8477 Lr: 1.88793e-03 [2025-03-11 04:35:35,169 INFO misc.py line 135 2389709] Train result: loss: 0.6377 [2025-03-11 04:35:35,254 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 04:36:31,996 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3779 [2025-03-11 04:36:32,113 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2850 [2025-03-11 04:36:32,154 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5743 [2025-03-11 04:36:32,202 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5119 [2025-03-11 04:36:32,238 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0006 [2025-03-11 04:36:32,296 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.9044 [2025-03-11 04:36:32,350 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.0221 [2025-03-11 04:36:32,378 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3574 [2025-03-11 04:36:32,426 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3239 [2025-03-11 04:36:32,472 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1581 [2025-03-11 04:36:32,525 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1741 [2025-03-11 04:36:32,564 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2762 [2025-03-11 04:36:32,612 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.2628 [2025-03-11 04:36:32,661 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.1026 [2025-03-11 04:36:32,697 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1153 [2025-03-11 04:36:32,750 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1004 [2025-03-11 04:36:32,788 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4814 [2025-03-11 04:36:32,821 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9121 [2025-03-11 04:36:32,863 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.1135 [2025-03-11 04:36:32,900 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6647 [2025-03-11 04:36:32,949 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6902 [2025-03-11 04:36:33,000 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7013 [2025-03-11 04:36:33,032 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.1951 [2025-03-11 04:36:33,081 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9943 [2025-03-11 04:36:33,125 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5909 [2025-03-11 04:36:33,172 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5955 [2025-03-11 04:36:33,226 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.7380 [2025-03-11 04:36:33,262 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8309 [2025-03-11 04:36:33,303 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1112 [2025-03-11 04:36:33,362 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.4707 [2025-03-11 04:36:33,423 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5041 [2025-03-11 04:36:33,460 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1544 [2025-03-11 04:36:33,518 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7851 [2025-03-11 04:36:33,561 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.9644 [2025-03-11 04:36:33,601 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3265 [2025-03-11 04:36:33,641 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5509 [2025-03-11 04:36:33,679 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.6534 [2025-03-11 04:36:33,714 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8159 [2025-03-11 04:36:33,781 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.3461 [2025-03-11 04:36:33,846 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4437 [2025-03-11 04:36:33,891 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3361 [2025-03-11 04:36:33,920 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.7067 [2025-03-11 04:36:33,963 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1995 [2025-03-11 04:36:34,023 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9629 [2025-03-11 04:36:34,062 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.1386 [2025-03-11 04:36:34,125 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0276 [2025-03-11 04:36:34,165 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9738 [2025-03-11 04:36:34,203 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0757 [2025-03-11 04:36:34,237 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.2739 [2025-03-11 04:36:34,274 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8447 [2025-03-11 04:36:34,304 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9591 [2025-03-11 04:36:34,343 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5490 [2025-03-11 04:36:34,371 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2693 [2025-03-11 04:36:34,410 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.4310 [2025-03-11 04:36:34,452 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.2898 [2025-03-11 04:36:34,496 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.1643 [2025-03-11 04:36:34,533 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.9399 [2025-03-11 04:36:34,563 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9962 [2025-03-11 04:36:34,604 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9959 [2025-03-11 04:36:34,640 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.3035 [2025-03-11 04:36:34,667 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.1923 [2025-03-11 04:36:34,703 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0566 [2025-03-11 04:36:34,744 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1683 [2025-03-11 04:36:34,801 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8117 [2025-03-11 04:36:34,829 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3673 [2025-03-11 04:36:34,876 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.9039 [2025-03-11 04:36:34,918 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9591 [2025-03-11 04:36:34,956 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1565 [2025-03-11 04:36:34,990 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3920 [2025-03-11 04:36:35,055 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.2827 [2025-03-11 04:36:35,098 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8615 [2025-03-11 04:36:35,152 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.8054 [2025-03-11 04:36:35,205 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5711 [2025-03-11 04:36:35,252 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.4250 [2025-03-11 04:36:35,306 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5426 [2025-03-11 04:36:35,338 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.1571 [2025-03-11 04:36:35,397 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5307 [2025-03-11 04:36:35,426 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.4609 [2025-03-11 04:36:36,611 INFO hook.py line 674 2389709] ######################################## [2025-03-11 04:36:36,611 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 04:36:36,611 INFO hook.py line 680 2389709] ######################################## [2025-03-11 04:36:36,611 INFO hook.py line 689 2389709] wall : 0.7754 0.9293 [2025-03-11 04:36:36,611 INFO hook.py line 689 2389709] chair : 0.7035 0.8617 [2025-03-11 04:36:36,611 INFO hook.py line 689 2389709] floor : 0.9548 0.9778 [2025-03-11 04:36:36,611 INFO hook.py line 689 2389709] table : 0.6349 0.7317 [2025-03-11 04:36:36,611 INFO hook.py line 689 2389709] door : 0.6470 0.7802 [2025-03-11 04:36:36,611 INFO hook.py line 689 2389709] couch : 0.7621 0.8795 [2025-03-11 04:36:36,611 INFO hook.py line 689 2389709] cabinet : 0.3286 0.4505 [2025-03-11 04:36:36,611 INFO hook.py line 689 2389709] shelf : 0.3364 0.4147 [2025-03-11 04:36:36,611 INFO hook.py line 689 2389709] desk : 0.5491 0.7843 [2025-03-11 04:36:36,611 INFO hook.py line 689 2389709] office chair : 0.1298 0.2007 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] bed : 0.7360 0.8138 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] pillow : 0.4270 0.8652 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] sink : 0.6486 0.7576 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] picture : 0.4025 0.4873 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] window : 0.5668 0.6686 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] toilet : 0.9261 0.9477 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] bookshelf : 0.4631 0.6118 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] monitor : 0.8306 0.8960 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] curtain : 0.7011 0.8454 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] book : 0.4188 0.6192 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] armchair : 0.5798 0.8208 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] coffee table : 0.4911 0.6512 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] box : 0.3003 0.4413 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] refrigerator : 0.6166 0.6628 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] lamp : 0.6686 0.7710 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] kitchen cabinet: 0.7002 0.8271 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] towel : 0.4088 0.6050 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] clothes : 0.1916 0.4552 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] tv : 0.8093 0.8308 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] nightstand : 0.6633 0.8974 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] counter : 0.3121 0.5269 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] dresser : 0.3495 0.5225 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] stool : 0.4424 0.7180 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] plant : 0.6391 0.7008 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] ceiling : 0.9231 0.9677 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] bathtub : 0.8905 0.9259 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] end table : 0.4026 0.7010 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] dining table : 0.0013 0.0014 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] keyboard : 0.4112 0.6317 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] bag : 0.2018 0.3031 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] backpack : 0.6019 0.7006 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] toilet paper : 0.3985 0.4614 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] printer : 0.2909 0.6689 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] tv stand : 0.5651 0.9397 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] whiteboard : 0.4607 0.7328 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] blanket : 0.0397 0.0686 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] shower curtain : 0.6590 0.7158 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] trash can : 0.5663 0.7216 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] closet : 0.1440 0.2201 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] stairs : 0.4334 0.6389 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] microwave : 0.5799 0.7420 [2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] stove : 0.5371 0.8036 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] shoe : 0.4812 0.6001 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] computer tower : 0.5383 0.8807 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] bottle : 0.0860 0.2373 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] bin : 0.0001 0.0003 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] ottoman : 0.2826 0.4858 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] bench : 0.3244 0.3927 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] board : 0.1588 0.2629 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] washing machine: 0.7363 0.9512 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] mirror : 0.3825 0.5065 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] copier : 0.6921 0.9084 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] sofa chair : 0.0660 0.0796 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] file cabinet : 0.3958 0.5567 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] fan : 0.4324 0.5977 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] laptop : 0.4909 0.7227 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] shower : 0.2137 0.2257 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] paper : 0.0619 0.1157 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] person : 0.3695 0.6499 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] paper towel dispenser: 0.6195 0.8513 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] oven : 0.0684 0.0709 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] blinds : 0.0156 0.0168 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] blackboard : 0.6144 0.7280 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] piano : 0.4607 0.5999 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] suitcase : 0.5963 0.7407 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] rail : 0.0201 0.0218 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] radiator : 0.5851 0.6715 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] recycling bin : 0.3485 0.8002 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] container : 0.0003 0.0009 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] wardrobe : 0.2702 0.4551 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] soap dispenser : 0.7876 0.8478 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] telephone : 0.2918 0.3648 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] bucket : 0.3397 0.5974 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] clock : 0.2298 0.3001 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] light : 0.0211 0.0285 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] laundry basket : 0.0886 0.1114 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] pipe : 0.0279 0.0361 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] clothes dryer : 0.5200 0.5230 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] guitar : 0.6246 0.6645 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] toilet paper holder: 0.0394 0.1379 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] speaker : 0.0300 0.1757 [2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] ladder : 0.4323 0.4661 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] bathroom stall : 0.3832 0.4557 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] shower wall : 0.4831 0.6354 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] cup : 0.1856 0.4210 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] jacket : 0.1366 0.1821 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] storage bin : 0.0049 0.0060 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] coffee maker : 0.8325 0.9869 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] dishwasher : 0.3102 0.5352 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] paper towel roll: 0.3209 0.3986 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] mat : 0.2789 0.3344 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] windowsill : 0.1859 0.2124 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] bar : 0.1678 0.3022 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] bulletin board : 0.2434 0.5796 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] ironing board : 0.1871 0.2800 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] fireplace : 0.6052 0.6528 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] soap dish : 0.3471 0.5217 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] kitchen counter: 0.5878 0.6911 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] doorframe : 0.3841 0.4942 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4282 0.5105 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] mini fridge : 0.5001 0.6495 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] fire extinguisher: 0.0065 0.0075 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] ball : 0.5342 0.6254 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] shower curtain rod: 0.3503 0.9143 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] water cooler : 0.0480 0.0497 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] paper cutter : 0.1976 0.2553 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] tray : 0.0403 0.0852 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] shower door : 0.2065 0.2736 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] ledge : 0.0919 0.1167 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] toaster oven : 0.0596 0.0607 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] mouse : 0.0883 0.4375 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6146 0.8403 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] cart : 0.1211 0.1409 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] scale : 0.2013 0.5786 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] tissue box : 0.1972 0.2805 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] light switch : 0.0239 0.0772 [2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] power outlet : 0.1870 0.3460 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] decoration : 0.4485 0.5437 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] projector : 0.0535 0.6768 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] closet door : 0.0582 0.0650 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] vacuum cleaner : 0.8373 0.9701 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] plunger : 0.3616 0.9873 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] headphones : 0.0012 0.0017 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] dish rack : 0.5114 0.6459 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] broom : 0.0844 0.1028 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] range hood : 0.6800 0.8145 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] dustpan : 0.0409 0.1007 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] handicap bar : 0.0407 0.5994 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] shower floor : 0.7528 0.7808 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] mailbox : 0.3789 0.3889 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] bowl : 0.1355 0.1834 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] paper bag : 0.0653 0.1562 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] divider : 0.2745 0.3306 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] bathroom counter: 0.1600 0.1715 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] object : 0.0444 0.1001 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] bathroom vanity: 0.4665 0.7260 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] closet wall : 0.1142 0.1699 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] laundry hamper : 0.0342 0.0461 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] bathroom stall door: 0.4815 0.7150 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] ceiling light : 0.3059 0.3975 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] trash bin : 0.4020 0.4851 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] dumbbell : 0.5485 0.9749 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] stair rail : 0.1720 0.2033 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] tube : 0.0663 0.0867 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] bathroom cabinet: 0.3687 0.4775 [2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] closet rod : 0.4551 0.8299 [2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] coffee kettle : 0.0020 0.0020 [2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] shower head : 0.2752 0.3921 [2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] case of water bottles: 0.0095 0.0095 [2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] coat rack : 0.1450 0.2350 [2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] folded chair : 0.0002 0.0003 [2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] mattress : 0.0012 0.0012 [2025-03-11 04:36:36,616 INFO hook.py line 690 2389709] ######################################## [2025-03-11 04:36:36,616 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2914/0.3980/0.8092. [2025-03-11 04:36:36,616 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 04:36:36,634 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 [2025-03-11 04:36:36,635 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 04:37:07,137 INFO hook.py line 566 2389709] Train: [61/100][50/300] Data 0.002 (0.002) Batch 0.492 (0.494) Remain 01:38:28 loss: 0.5395 Lr: 1.87458e-03 [2025-03-11 04:37:31,773 INFO hook.py line 566 2389709] Train: [61/100][100/300] Data 0.002 (0.002) Batch 0.502 (0.494) Remain 01:37:53 loss: 0.6984 Lr: 1.86152e-03 [2025-03-11 04:37:56,351 INFO hook.py line 566 2389709] Train: [61/100][150/300] Data 0.002 (0.002) Batch 0.574 (0.493) Remain 01:37:20 loss: 0.4233 Lr: 1.84821e-03 [2025-03-11 04:38:20,774 INFO hook.py line 566 2389709] Train: [61/100][200/300] Data 0.002 (0.002) Batch 0.521 (0.492) Remain 01:36:42 loss: 0.6603 Lr: 1.83492e-03 [2025-03-11 04:38:45,102 INFO hook.py line 566 2389709] Train: [61/100][250/300] Data 0.005 (0.002) Batch 0.517 (0.491) Remain 01:36:05 loss: 0.7353 Lr: 1.82165e-03 [2025-03-11 04:39:09,047 INFO hook.py line 566 2389709] Train: [61/100][300/300] Data 0.001 (0.002) Batch 0.528 (0.489) Remain 01:35:17 loss: 0.6251 Lr: 1.80840e-03 [2025-03-11 04:39:09,048 INFO misc.py line 135 2389709] Train result: loss: 0.6133 [2025-03-11 04:39:09,171 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 04:39:56,895 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4264 [2025-03-11 04:39:56,943 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.7668 [2025-03-11 04:39:56,981 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4836 [2025-03-11 04:39:57,035 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4695 [2025-03-11 04:39:57,077 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.6931 [2025-03-11 04:39:57,132 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1437 [2025-03-11 04:39:57,186 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8862 [2025-03-11 04:39:57,218 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3044 [2025-03-11 04:39:57,265 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3177 [2025-03-11 04:39:57,302 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.3549 [2025-03-11 04:39:57,354 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.0867 [2025-03-11 04:39:57,391 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2547 [2025-03-11 04:39:57,444 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.4253 [2025-03-11 04:39:57,486 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.2423 [2025-03-11 04:39:57,525 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0363 [2025-03-11 04:39:57,574 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0982 [2025-03-11 04:39:57,613 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2947 [2025-03-11 04:39:57,654 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8376 [2025-03-11 04:39:57,701 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.0974 [2025-03-11 04:39:57,738 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4868 [2025-03-11 04:39:57,780 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7797 [2025-03-11 04:39:57,820 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9392 [2025-03-11 04:39:57,854 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.7418 [2025-03-11 04:39:57,907 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.2894 [2025-03-11 04:39:57,956 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.2502 [2025-03-11 04:39:57,998 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.6871 [2025-03-11 04:39:58,058 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.1402 [2025-03-11 04:39:58,102 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5156 [2025-03-11 04:39:58,131 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9518 [2025-03-11 04:39:58,201 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.1325 [2025-03-11 04:39:58,259 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4271 [2025-03-11 04:39:58,297 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2951 [2025-03-11 04:39:58,355 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8703 [2025-03-11 04:39:58,394 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.9871 [2025-03-11 04:39:58,431 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.5272 [2025-03-11 04:39:58,475 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4891 [2025-03-11 04:39:58,517 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.2257 [2025-03-11 04:39:58,549 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7440 [2025-03-11 04:39:58,620 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.7331 [2025-03-11 04:39:58,666 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.8088 [2025-03-11 04:39:58,717 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3065 [2025-03-11 04:39:58,753 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4941 [2025-03-11 04:39:58,792 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2151 [2025-03-11 04:39:58,852 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9904 [2025-03-11 04:39:58,887 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4801 [2025-03-11 04:39:58,936 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0446 [2025-03-11 04:39:58,979 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8154 [2025-03-11 04:39:59,013 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0374 [2025-03-11 04:39:59,045 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3626 [2025-03-11 04:39:59,077 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4803 [2025-03-11 04:39:59,111 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9761 [2025-03-11 04:39:59,148 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7780 [2025-03-11 04:39:59,180 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.5280 [2025-03-11 04:39:59,219 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.6023 [2025-03-11 04:39:59,257 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3509 [2025-03-11 04:39:59,302 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.2763 [2025-03-11 04:39:59,335 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.2311 [2025-03-11 04:39:59,363 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1117 [2025-03-11 04:39:59,405 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8532 [2025-03-11 04:39:59,446 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7674 [2025-03-11 04:39:59,475 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9269 [2025-03-11 04:39:59,515 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1439 [2025-03-11 04:39:59,551 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1887 [2025-03-11 04:39:59,611 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.4112 [2025-03-11 04:39:59,643 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4520 [2025-03-11 04:39:59,686 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.2751 [2025-03-11 04:39:59,726 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.2188 [2025-03-11 04:39:59,761 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.6524 [2025-03-11 04:39:59,792 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4776 [2025-03-11 04:39:59,852 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.3693 [2025-03-11 04:39:59,899 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7532 [2025-03-11 04:39:59,954 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7563 [2025-03-11 04:40:00,008 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6591 [2025-03-11 04:40:00,053 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.8111 [2025-03-11 04:40:00,104 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.3490 [2025-03-11 04:40:00,132 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7449 [2025-03-11 04:40:00,190 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5401 [2025-03-11 04:40:00,217 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.4650 [2025-03-11 04:40:01,491 INFO hook.py line 674 2389709] ######################################## [2025-03-11 04:40:01,491 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 04:40:01,491 INFO hook.py line 680 2389709] ######################################## [2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] wall : 0.7921 0.9100 [2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] chair : 0.7138 0.8140 [2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] floor : 0.9589 0.9832 [2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] table : 0.6293 0.7759 [2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] door : 0.6422 0.7343 [2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] couch : 0.7254 0.9332 [2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] cabinet : 0.3437 0.4598 [2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] shelf : 0.3532 0.5008 [2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] desk : 0.5709 0.8137 [2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] office chair : 0.2196 0.3878 [2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] bed : 0.7943 0.8806 [2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] pillow : 0.5337 0.7774 [2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] sink : 0.6313 0.8016 [2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] picture : 0.3850 0.5089 [2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] window : 0.5454 0.8244 [2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] toilet : 0.9234 0.9601 [2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] bookshelf : 0.4441 0.6480 [2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] monitor : 0.8479 0.9194 [2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] curtain : 0.6219 0.6556 [2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] book : 0.4490 0.7319 [2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] armchair : 0.5129 0.6222 [2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] coffee table : 0.5953 0.6626 [2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] box : 0.2984 0.4600 [2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] refrigerator : 0.6311 0.6562 [2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] lamp : 0.6511 0.7861 [2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] kitchen cabinet: 0.6349 0.7718 [2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] towel : 0.4340 0.5335 [2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] clothes : 0.1823 0.3952 [2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] tv : 0.8501 0.9010 [2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] nightstand : 0.6265 0.8708 [2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] counter : 0.2325 0.6657 [2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] dresser : 0.3130 0.4479 [2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] stool : 0.5500 0.6793 [2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] plant : 0.7707 0.8502 [2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] ceiling : 0.9213 0.9505 [2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] bathtub : 0.8692 0.9129 [2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] end table : 0.1368 0.2505 [2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] dining table : 0.0060 0.0062 [2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] keyboard : 0.4407 0.6295 [2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] bag : 0.1125 0.1750 [2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] backpack : 0.5653 0.6392 [2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] toilet paper : 0.4582 0.5729 [2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] printer : 0.2973 0.6049 [2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] tv stand : 0.6821 0.8595 [2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] whiteboard : 0.4701 0.7111 [2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] blanket : 0.0509 0.0634 [2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] shower curtain : 0.7126 0.8301 [2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] trash can : 0.6023 0.8168 [2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] closet : 0.1007 0.1241 [2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] stairs : 0.4158 0.7335 [2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] microwave : 0.4386 0.8334 [2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] stove : 0.5678 0.8183 [2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] shoe : 0.4858 0.6600 [2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] computer tower : 0.4694 0.8517 [2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] bottle : 0.0968 0.2553 [2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] ottoman : 0.4073 0.4597 [2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] bench : 0.2577 0.2658 [2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] board : 0.1398 0.2384 [2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] washing machine: 0.7835 0.9449 [2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] mirror : 0.3622 0.5143 [2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] copier : 0.7403 0.9289 [2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] sofa chair : 0.1209 0.1714 [2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] file cabinet : 0.4738 0.6135 [2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] fan : 0.2916 0.2984 [2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] laptop : 0.5057 0.7277 [2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] shower : 0.2754 0.2915 [2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] paper : 0.0722 0.2389 [2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] person : 0.1722 0.6038 [2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] paper towel dispenser: 0.5357 0.6711 [2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] oven : 0.1059 0.1396 [2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] blinds : 0.0211 0.0264 [2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] blackboard : 0.5943 0.6750 [2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] piano : 0.4140 0.8013 [2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] suitcase : 0.4701 0.4859 [2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] rail : 0.0096 0.0096 [2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] radiator : 0.5434 0.6354 [2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] recycling bin : 0.4932 0.6207 [2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] container : 0.0003 0.0005 [2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] wardrobe : 0.1693 0.1954 [2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] soap dispenser : 0.7919 0.8650 [2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] telephone : 0.2547 0.3632 [2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] bucket : 0.3071 0.3668 [2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] clock : 0.2745 0.3303 [2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] light : 0.0351 0.0440 [2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 [2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] pipe : 0.0808 0.1250 [2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] clothes dryer : 0.5417 0.5439 [2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] guitar : 0.7661 0.8221 [2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] toilet paper holder: 0.0346 0.1374 [2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] ladder : 0.3153 0.3494 [2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] bathroom stall : 0.5315 0.6948 [2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] shower wall : 0.4550 0.6313 [2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] cup : 0.1972 0.3233 [2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] jacket : 0.1836 0.2180 [2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 [2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] coffee maker : 0.5172 0.9865 [2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] dishwasher : 0.2984 0.5117 [2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] paper towel roll: 0.2459 0.3927 [2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] mat : 0.2175 0.2243 [2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] windowsill : 0.0496 0.0538 [2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] bar : 0.1629 0.2631 [2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] toaster : 0.1333 0.1356 [2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] bulletin board : 0.2795 0.4912 [2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] ironing board : 0.0283 0.0301 [2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] fireplace : 0.2946 0.2992 [2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] soap dish : 0.3426 0.4801 [2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] kitchen counter: 0.3883 0.4533 [2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] doorframe : 0.4234 0.6056 [2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2833 0.3159 [2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] mini fridge : 0.4459 0.5234 [2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] fire extinguisher: 0.1948 0.2151 [2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] ball : 0.5538 0.6283 [2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] shower curtain rod: 0.1669 0.9535 [2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] water cooler : 0.4951 0.5336 [2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] paper cutter : 0.1439 0.1560 [2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] tray : 0.0462 0.0991 [2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] shower door : 0.2012 0.3507 [2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] pillar : 0.0410 0.0413 [2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] ledge : 0.0491 0.0792 [2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] mouse : 0.0785 0.5833 [2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6509 0.7602 [2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] cart : 0.2064 0.2642 [2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] scale : 0.5981 0.9349 [2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] tissue box : 0.2704 0.3399 [2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] light switch : 0.0170 0.0402 [2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] power outlet : 0.1928 0.3114 [2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] decoration : 0.1802 0.6733 [2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] sign : 0.0672 0.0687 [2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] projector : 0.0385 0.3216 [2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] closet door : 0.2064 0.2456 [2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] vacuum cleaner : 0.7441 0.8506 [2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] plunger : 0.4722 0.9776 [2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] headphones : 0.0010 0.0018 [2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] dish rack : 0.7013 0.8791 [2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] broom : 0.0979 0.1529 [2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] range hood : 0.7716 0.9215 [2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] dustpan : 0.0815 0.2713 [2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] water bottle : 0.0019 0.0079 [2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] handicap bar : 0.0673 0.6296 [2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] shower floor : 0.5308 0.6700 [2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] mailbox : 0.2756 0.2810 [2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] bowl : 0.1955 0.2724 [2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] paper bag : 0.0750 0.0931 [2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] projector screen: 0.0015 0.0015 [2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] divider : 0.3952 0.4492 [2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] laundry detergent: 0.0025 0.0025 [2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] bathroom counter: 0.2248 0.2690 [2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] object : 0.0347 0.0664 [2025-03-11 04:40:01,501 INFO hook.py line 689 2389709] bathroom vanity: 0.5321 0.7761 [2025-03-11 04:40:01,501 INFO hook.py line 689 2389709] closet wall : 0.0255 0.0323 [2025-03-11 04:40:01,501 INFO hook.py line 689 2389709] laundry hamper : 0.0000 0.0000 [2025-03-11 04:40:01,501 INFO hook.py line 689 2389709] bathroom stall door: 0.6199 0.7347 [2025-03-11 04:40:01,501 INFO hook.py line 689 2389709] ceiling light : 0.3701 0.5264 [2025-03-11 04:40:01,501 INFO hook.py line 689 2389709] trash bin : 0.3505 0.4692 [2025-03-11 04:40:01,501 INFO hook.py line 689 2389709] dumbbell : 0.8206 0.9719 [2025-03-11 04:40:01,501 INFO hook.py line 689 2389709] stair rail : 0.1577 0.2647 [2025-03-11 04:40:01,501 INFO hook.py line 689 2389709] tube : 0.0843 0.0980 [2025-03-11 04:40:01,501 INFO hook.py line 689 2389709] bathroom cabinet: 0.2977 0.5457 [2025-03-11 04:40:01,501 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] closet rod : 0.4847 0.8906 [2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] coffee kettle : 0.1782 0.1807 [2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] shower head : 0.3256 0.3534 [2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] coat rack : 0.0161 0.0192 [2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] fire alarm : 0.0019 0.0244 [2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] calendar : 0.0769 0.1980 [2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] mattress : 0.0007 0.0007 [2025-03-11 04:40:01,502 INFO hook.py line 690 2389709] ######################################## [2025-03-11 04:40:01,502 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2928/0.3962/0.8098. [2025-03-11 04:40:01,503 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 04:40:01,521 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 [2025-03-11 04:40:01,521 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 04:40:31,772 INFO hook.py line 566 2389709] Train: [62/100][50/300] Data 0.003 (0.003) Batch 0.526 (0.498) Remain 01:36:37 loss: 0.7303 Lr: 1.79517e-03 [2025-03-11 04:40:56,855 INFO hook.py line 566 2389709] Train: [62/100][100/300] Data 0.002 (0.003) Batch 0.488 (0.500) Remain 01:36:36 loss: 0.5571 Lr: 1.78196e-03 [2025-03-11 04:41:21,820 INFO hook.py line 566 2389709] Train: [62/100][150/300] Data 0.003 (0.002) Batch 0.524 (0.500) Remain 01:36:10 loss: 0.5699 Lr: 1.76878e-03 [2025-03-11 04:41:46,388 INFO hook.py line 566 2389709] Train: [62/100][200/300] Data 0.002 (0.002) Batch 0.495 (0.497) Remain 01:35:21 loss: 0.6278 Lr: 1.75562e-03 [2025-03-11 04:42:10,957 INFO hook.py line 566 2389709] Train: [62/100][250/300] Data 0.003 (0.002) Batch 0.479 (0.496) Remain 01:34:42 loss: 0.8626 Lr: 1.74247e-03 [2025-03-11 04:42:35,430 INFO hook.py line 566 2389709] Train: [62/100][300/300] Data 0.001 (0.002) Batch 0.495 (0.495) Remain 01:34:04 loss: 0.6297 Lr: 1.72936e-03 [2025-03-11 04:42:35,431 INFO misc.py line 135 2389709] Train result: loss: 0.6160 [2025-03-11 04:42:35,547 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 04:43:23,560 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4125 [2025-03-11 04:43:23,617 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2512 [2025-03-11 04:43:23,653 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7977 [2025-03-11 04:43:23,705 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.3842 [2025-03-11 04:43:23,745 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.7850 [2025-03-11 04:43:23,804 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8026 [2025-03-11 04:43:23,860 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8075 [2025-03-11 04:43:23,893 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4410 [2025-03-11 04:43:23,943 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2272 [2025-03-11 04:43:23,984 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1817 [2025-03-11 04:43:24,038 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.0726 [2025-03-11 04:43:24,075 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.4871 [2025-03-11 04:43:24,125 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.2896 [2025-03-11 04:43:24,168 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.1469 [2025-03-11 04:43:24,206 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.9902 [2025-03-11 04:43:24,257 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0847 [2025-03-11 04:43:24,299 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2294 [2025-03-11 04:43:24,341 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9283 [2025-03-11 04:43:24,389 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.3066 [2025-03-11 04:43:24,427 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.8084 [2025-03-11 04:43:24,465 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6200 [2025-03-11 04:43:24,510 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.5410 [2025-03-11 04:43:24,552 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.2658 [2025-03-11 04:43:24,601 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9327 [2025-03-11 04:43:24,648 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7036 [2025-03-11 04:43:24,697 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1634 [2025-03-11 04:43:24,751 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.7725 [2025-03-11 04:43:24,787 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5624 [2025-03-11 04:43:24,819 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0073 [2025-03-11 04:43:24,881 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.0583 [2025-03-11 04:43:24,941 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4619 [2025-03-11 04:43:24,978 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0748 [2025-03-11 04:43:25,042 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8736 [2025-03-11 04:43:25,087 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.2765 [2025-03-11 04:43:25,127 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1243 [2025-03-11 04:43:25,173 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.6841 [2025-03-11 04:43:25,212 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.1622 [2025-03-11 04:43:25,249 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.6998 [2025-03-11 04:43:25,316 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.5349 [2025-03-11 04:43:25,372 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5359 [2025-03-11 04:43:25,418 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1097 [2025-03-11 04:43:25,453 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4914 [2025-03-11 04:43:25,496 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0349 [2025-03-11 04:43:25,558 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0341 [2025-03-11 04:43:25,592 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.2891 [2025-03-11 04:43:25,641 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1108 [2025-03-11 04:43:25,682 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.2668 [2025-03-11 04:43:25,721 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0536 [2025-03-11 04:43:25,756 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.5202 [2025-03-11 04:43:25,788 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.9149 [2025-03-11 04:43:25,820 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9684 [2025-03-11 04:43:25,860 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7345 [2025-03-11 04:43:25,887 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2809 [2025-03-11 04:43:25,926 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.6840 [2025-03-11 04:43:25,964 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4023 [2025-03-11 04:43:26,009 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0119 [2025-03-11 04:43:26,046 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.1110 [2025-03-11 04:43:26,075 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.8630 [2025-03-11 04:43:26,117 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8807 [2025-03-11 04:43:26,159 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7379 [2025-03-11 04:43:26,188 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7853 [2025-03-11 04:43:26,224 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.8917 [2025-03-11 04:43:26,265 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.9589 [2025-03-11 04:43:26,325 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7587 [2025-03-11 04:43:26,358 INFO hook.py line 748 2389709] Test: [65/78] Loss 1.9789 [2025-03-11 04:43:26,401 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.6080 [2025-03-11 04:43:26,444 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.7547 [2025-03-11 04:43:26,481 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9414 [2025-03-11 04:43:26,512 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3372 [2025-03-11 04:43:26,573 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0381 [2025-03-11 04:43:26,620 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5448 [2025-03-11 04:43:26,676 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6637 [2025-03-11 04:43:26,729 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7594 [2025-03-11 04:43:26,773 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.0962 [2025-03-11 04:43:26,824 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5532 [2025-03-11 04:43:26,852 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.2023 [2025-03-11 04:43:26,911 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6174 [2025-03-11 04:43:26,937 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.0295 [2025-03-11 04:43:28,249 INFO hook.py line 674 2389709] ######################################## [2025-03-11 04:43:28,249 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 04:43:28,249 INFO hook.py line 680 2389709] ######################################## [2025-03-11 04:43:28,249 INFO hook.py line 689 2389709] wall : 0.7840 0.9295 [2025-03-11 04:43:28,249 INFO hook.py line 689 2389709] chair : 0.6427 0.7587 [2025-03-11 04:43:28,249 INFO hook.py line 689 2389709] floor : 0.9555 0.9825 [2025-03-11 04:43:28,250 INFO hook.py line 689 2389709] table : 0.6439 0.7627 [2025-03-11 04:43:28,250 INFO hook.py line 689 2389709] door : 0.6285 0.7471 [2025-03-11 04:43:28,250 INFO hook.py line 689 2389709] couch : 0.7868 0.9309 [2025-03-11 04:43:28,250 INFO hook.py line 689 2389709] cabinet : 0.3574 0.5365 [2025-03-11 04:43:28,251 INFO hook.py line 689 2389709] shelf : 0.4049 0.5061 [2025-03-11 04:43:28,251 INFO hook.py line 689 2389709] desk : 0.5728 0.7536 [2025-03-11 04:43:28,251 INFO hook.py line 689 2389709] office chair : 0.2287 0.5639 [2025-03-11 04:43:28,251 INFO hook.py line 689 2389709] bed : 0.8039 0.8891 [2025-03-11 04:43:28,251 INFO hook.py line 689 2389709] pillow : 0.5530 0.7785 [2025-03-11 04:43:28,251 INFO hook.py line 689 2389709] sink : 0.6588 0.7903 [2025-03-11 04:43:28,251 INFO hook.py line 689 2389709] picture : 0.3564 0.4841 [2025-03-11 04:43:28,251 INFO hook.py line 689 2389709] window : 0.5924 0.7043 [2025-03-11 04:43:28,251 INFO hook.py line 689 2389709] toilet : 0.9284 0.9515 [2025-03-11 04:43:28,251 INFO hook.py line 689 2389709] bookshelf : 0.4968 0.6326 [2025-03-11 04:43:28,251 INFO hook.py line 689 2389709] monitor : 0.8481 0.9029 [2025-03-11 04:43:28,252 INFO hook.py line 689 2389709] curtain : 0.6723 0.8494 [2025-03-11 04:43:28,252 INFO hook.py line 689 2389709] book : 0.4539 0.7837 [2025-03-11 04:43:28,252 INFO hook.py line 689 2389709] armchair : 0.3621 0.4152 [2025-03-11 04:43:28,252 INFO hook.py line 689 2389709] coffee table : 0.6827 0.7686 [2025-03-11 04:43:28,252 INFO hook.py line 689 2389709] box : 0.2979 0.3573 [2025-03-11 04:43:28,252 INFO hook.py line 689 2389709] refrigerator : 0.6369 0.6857 [2025-03-11 04:43:28,252 INFO hook.py line 689 2389709] lamp : 0.6983 0.7746 [2025-03-11 04:43:28,252 INFO hook.py line 689 2389709] kitchen cabinet: 0.6956 0.7834 [2025-03-11 04:43:28,252 INFO hook.py line 689 2389709] towel : 0.4354 0.7224 [2025-03-11 04:43:28,252 INFO hook.py line 689 2389709] clothes : 0.1614 0.4617 [2025-03-11 04:43:28,252 INFO hook.py line 689 2389709] tv : 0.8607 0.9235 [2025-03-11 04:43:28,253 INFO hook.py line 689 2389709] nightstand : 0.6821 0.8686 [2025-03-11 04:43:28,253 INFO hook.py line 689 2389709] counter : 0.2730 0.4213 [2025-03-11 04:43:28,253 INFO hook.py line 689 2389709] dresser : 0.3217 0.5695 [2025-03-11 04:43:28,253 INFO hook.py line 689 2389709] stool : 0.3872 0.4484 [2025-03-11 04:43:28,253 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 04:43:28,253 INFO hook.py line 689 2389709] plant : 0.7352 0.9094 [2025-03-11 04:43:28,253 INFO hook.py line 689 2389709] ceiling : 0.9237 0.9786 [2025-03-11 04:43:28,254 INFO hook.py line 689 2389709] bathtub : 0.8582 0.9025 [2025-03-11 04:43:28,254 INFO hook.py line 689 2389709] end table : 0.1444 0.1928 [2025-03-11 04:43:28,254 INFO hook.py line 689 2389709] dining table : 0.0010 0.0011 [2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] keyboard : 0.4257 0.5133 [2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] bag : 0.2097 0.4316 [2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] backpack : 0.6097 0.6994 [2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] toilet paper : 0.3911 0.4294 [2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] printer : 0.4263 0.7272 [2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] tv stand : 0.3086 0.4510 [2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] whiteboard : 0.5004 0.6695 [2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] blanket : 0.0773 0.0947 [2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] shower curtain : 0.6537 0.7106 [2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] trash can : 0.6001 0.8519 [2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] closet : 0.1133 0.1697 [2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] stairs : 0.5108 0.6327 [2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] microwave : 0.5340 0.7203 [2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] stove : 0.6258 0.8337 [2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] shoe : 0.4913 0.6376 [2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] computer tower : 0.5586 0.7500 [2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] bottle : 0.1090 0.2301 [2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] ottoman : 0.2691 0.3324 [2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] bench : 0.3833 0.5432 [2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] board : 0.2107 0.4306 [2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] washing machine: 0.7963 0.9126 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] mirror : 0.3664 0.5038 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] copier : 0.8383 0.8978 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] sofa chair : 0.1420 0.3282 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] file cabinet : 0.4048 0.5175 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] fan : 0.4647 0.5315 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] laptop : 0.4559 0.6985 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] shower : 0.1787 0.1925 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] paper : 0.0629 0.1041 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] person : 0.2687 0.6018 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] paper towel dispenser: 0.5011 0.8839 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] oven : 0.0860 0.1106 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] plate : 0.0287 0.0536 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] blackboard : 0.6300 0.6690 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] piano : 0.5793 0.7160 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] suitcase : 0.6275 0.7518 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] rail : 0.0474 0.0531 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] radiator : 0.5964 0.6624 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] recycling bin : 0.4612 0.5188 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] container : 0.0007 0.0009 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] wardrobe : 0.2422 0.2815 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] soap dispenser : 0.6152 0.9119 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] telephone : 0.2557 0.3541 [2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] bucket : 0.3687 0.6928 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] clock : 0.2889 0.3644 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] light : 0.0445 0.0542 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] pipe : 0.0211 0.0291 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] clothes dryer : 0.4232 0.4275 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] guitar : 0.7277 0.8829 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] toilet paper holder: 0.0071 0.0286 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] column : 0.1080 0.2110 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] ladder : 0.5325 0.6331 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] bathroom stall : 0.4395 0.5147 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] shower wall : 0.4916 0.6536 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] cup : 0.1761 0.4316 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] jacket : 0.1357 0.1860 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] storage bin : 0.0259 0.0281 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] coffee maker : 0.5627 0.9953 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] dishwasher : 0.3893 0.7090 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] paper towel roll: 0.2248 0.2548 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] mat : 0.2557 0.2989 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] windowsill : 0.2014 0.2317 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] bar : 0.1143 0.2361 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] toaster : 0.1746 0.3189 [2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] bulletin board : 0.2551 0.5214 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] ironing board : 0.2045 0.2358 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] fireplace : 0.6376 0.6996 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] soap dish : 0.3464 0.4648 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] kitchen counter: 0.5609 0.7171 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] doorframe : 0.3865 0.5929 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4752 0.7777 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] mini fridge : 0.3131 0.3470 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] fire extinguisher: 0.0711 0.1414 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] ball : 0.4536 0.6296 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] shower curtain rod: 0.2858 0.8980 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] water cooler : 0.3627 0.4246 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] paper cutter : 0.2249 0.2575 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] tray : 0.0678 0.0899 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] shower door : 0.1586 0.2284 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] pillar : 0.0117 0.0120 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] ledge : 0.0344 0.0411 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] toaster oven : 0.1674 0.1701 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] mouse : 0.1154 0.5236 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7137 0.8422 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] cart : 0.0760 0.0808 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] scale : 0.3237 0.9501 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] tissue box : 0.1625 0.2082 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] light switch : 0.0315 0.0954 [2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] power outlet : 0.1021 0.1383 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] decoration : 0.3112 0.5469 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] sign : 0.0217 0.0254 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] projector : 0.1118 1.0000 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] closet door : 0.0780 0.0968 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] vacuum cleaner : 0.8321 0.9559 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] plunger : 0.4150 0.9803 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] headphones : 0.0134 0.0259 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] dish rack : 0.7126 0.9524 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] broom : 0.0633 0.1165 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] range hood : 0.7651 0.9155 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] dustpan : 0.0827 0.2335 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] water bottle : 0.0491 0.0929 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] handicap bar : 0.0174 0.2006 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] shower floor : 0.0000 0.0000 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] mailbox : 0.4496 0.4580 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] bowl : 0.1567 0.3357 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] paper bag : 0.0723 0.1696 [2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 04:43:28,262 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 04:43:28,262 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 04:43:28,262 INFO hook.py line 689 2389709] divider : 0.4293 0.4791 [2025-03-11 04:43:28,262 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 04:43:28,262 INFO hook.py line 689 2389709] bathroom counter: 0.2084 0.2253 [2025-03-11 04:43:28,262 INFO hook.py line 689 2389709] object : 0.0349 0.0633 [2025-03-11 04:43:28,262 INFO hook.py line 689 2389709] bathroom vanity: 0.5281 0.7497 [2025-03-11 04:43:28,262 INFO hook.py line 689 2389709] closet wall : 0.0765 0.1155 [2025-03-11 04:43:28,262 INFO hook.py line 689 2389709] laundry hamper : 0.0919 0.1821 [2025-03-11 04:43:28,262 INFO hook.py line 689 2389709] bathroom stall door: 0.5036 0.8049 [2025-03-11 04:43:28,262 INFO hook.py line 689 2389709] ceiling light : 0.3798 0.4725 [2025-03-11 04:43:28,262 INFO hook.py line 689 2389709] trash bin : 0.3476 0.4487 [2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] dumbbell : 0.2600 0.9719 [2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] stair rail : 0.1967 0.2355 [2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] tube : 0.0646 0.0762 [2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] bathroom cabinet: 0.4115 0.6703 [2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] closet rod : 0.3580 0.8119 [2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] coffee kettle : 0.4464 0.7725 [2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] shower head : 0.2856 0.4195 [2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] case of water bottles: 0.0235 0.0238 [2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] coat rack : 0.0073 0.0096 [2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] fire alarm : 0.0819 0.8810 [2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] calendar : 0.0034 0.0042 [2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 04:43:28,264 INFO hook.py line 689 2389709] mattress : 0.0002 0.0002 [2025-03-11 04:43:28,264 INFO hook.py line 690 2389709] ######################################## [2025-03-11 04:43:28,264 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2967/0.4117/0.8132. [2025-03-11 04:43:28,264 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 04:43:28,282 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 [2025-03-11 04:43:28,282 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 04:43:58,134 INFO hook.py line 566 2389709] Train: [63/100][50/300] Data 0.002 (0.002) Batch 0.469 (0.484) Remain 01:31:32 loss: 0.6234 Lr: 1.71626e-03 [2025-03-11 04:44:22,872 INFO hook.py line 566 2389709] Train: [63/100][100/300] Data 0.003 (0.002) Batch 0.449 (0.489) Remain 01:32:11 loss: 0.6631 Lr: 1.70319e-03 [2025-03-11 04:44:47,477 INFO hook.py line 566 2389709] Train: [63/100][150/300] Data 0.002 (0.002) Batch 0.492 (0.490) Remain 01:31:56 loss: 0.5897 Lr: 1.69015e-03 [2025-03-11 04:45:11,601 INFO hook.py line 566 2389709] Train: [63/100][200/300] Data 0.002 (0.002) Batch 0.502 (0.488) Remain 01:31:09 loss: 0.5307 Lr: 1.67712e-03 [2025-03-11 04:45:36,077 INFO hook.py line 566 2389709] Train: [63/100][250/300] Data 0.002 (0.002) Batch 0.478 (0.489) Remain 01:30:47 loss: 0.4569 Lr: 1.66413e-03 [2025-03-11 04:46:00,515 INFO hook.py line 566 2389709] Train: [63/100][300/300] Data 0.002 (0.002) Batch 0.480 (0.489) Remain 01:30:23 loss: 0.6718 Lr: 1.65116e-03 [2025-03-11 04:46:00,516 INFO misc.py line 135 2389709] Train result: loss: 0.5944 [2025-03-11 04:46:00,616 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 04:46:55,729 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4186 [2025-03-11 04:46:55,819 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.9416 [2025-03-11 04:46:55,868 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7216 [2025-03-11 04:46:55,919 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5162 [2025-03-11 04:46:55,955 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8422 [2025-03-11 04:46:56,023 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.4133 [2025-03-11 04:46:56,078 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8984 [2025-03-11 04:46:56,106 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4626 [2025-03-11 04:46:56,151 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1306 [2025-03-11 04:46:56,186 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2957 [2025-03-11 04:46:56,246 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2602 [2025-03-11 04:46:56,279 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.9414 [2025-03-11 04:46:56,328 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.6140 [2025-03-11 04:46:56,366 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.3948 [2025-03-11 04:46:56,405 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.8017 [2025-03-11 04:46:56,459 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0829 [2025-03-11 04:46:56,498 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3615 [2025-03-11 04:46:56,533 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8351 [2025-03-11 04:46:56,577 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5674 [2025-03-11 04:46:56,613 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7370 [2025-03-11 04:46:56,648 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7127 [2025-03-11 04:46:56,689 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.0971 [2025-03-11 04:46:56,730 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4528 [2025-03-11 04:46:56,779 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1974 [2025-03-11 04:46:56,828 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4098 [2025-03-11 04:46:56,879 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2043 [2025-03-11 04:46:56,933 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9800 [2025-03-11 04:46:56,977 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5049 [2025-03-11 04:46:57,016 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0921 [2025-03-11 04:46:57,080 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.0335 [2025-03-11 04:46:57,141 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.3601 [2025-03-11 04:46:57,181 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0562 [2025-03-11 04:46:57,238 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7870 [2025-03-11 04:46:57,284 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.6317 [2025-03-11 04:46:57,321 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.5454 [2025-03-11 04:46:57,363 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7060 [2025-03-11 04:46:57,402 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.3177 [2025-03-11 04:46:57,435 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9618 [2025-03-11 04:46:57,505 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.8781 [2025-03-11 04:46:57,557 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5230 [2025-03-11 04:46:57,614 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1641 [2025-03-11 04:46:57,645 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4445 [2025-03-11 04:46:57,683 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.9764 [2025-03-11 04:46:57,741 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9354 [2025-03-11 04:46:57,791 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.5470 [2025-03-11 04:46:57,852 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0599 [2025-03-11 04:46:57,898 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.6945 [2025-03-11 04:46:57,933 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9281 [2025-03-11 04:46:57,968 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4597 [2025-03-11 04:46:58,005 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8150 [2025-03-11 04:46:58,039 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.1882 [2025-03-11 04:46:58,075 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6639 [2025-03-11 04:46:58,107 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3895 [2025-03-11 04:46:58,146 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.4604 [2025-03-11 04:46:58,188 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.5842 [2025-03-11 04:46:58,229 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0828 [2025-03-11 04:46:58,267 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.2503 [2025-03-11 04:46:58,296 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1389 [2025-03-11 04:46:58,337 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7485 [2025-03-11 04:46:58,378 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5627 [2025-03-11 04:46:58,408 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.6984 [2025-03-11 04:46:58,447 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9045 [2025-03-11 04:46:58,484 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.6372 [2025-03-11 04:46:58,541 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6328 [2025-03-11 04:46:58,573 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.0241 [2025-03-11 04:46:58,620 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.2434 [2025-03-11 04:46:58,659 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.7815 [2025-03-11 04:46:58,700 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.2914 [2025-03-11 04:46:58,734 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3924 [2025-03-11 04:46:58,799 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0777 [2025-03-11 04:46:58,843 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.6606 [2025-03-11 04:46:58,900 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.3975 [2025-03-11 04:46:58,957 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7699 [2025-03-11 04:46:59,007 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.4369 [2025-03-11 04:46:59,061 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.4231 [2025-03-11 04:46:59,093 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.3957 [2025-03-11 04:46:59,155 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5408 [2025-03-11 04:46:59,181 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9255 [2025-03-11 04:47:00,390 INFO hook.py line 674 2389709] ######################################## [2025-03-11 04:47:00,390 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 04:47:00,391 INFO hook.py line 680 2389709] ######################################## [2025-03-11 04:47:00,391 INFO hook.py line 689 2389709] wall : 0.7904 0.9121 [2025-03-11 04:47:00,391 INFO hook.py line 689 2389709] chair : 0.6117 0.6915 [2025-03-11 04:47:00,391 INFO hook.py line 689 2389709] floor : 0.9534 0.9819 [2025-03-11 04:47:00,391 INFO hook.py line 689 2389709] table : 0.6103 0.7394 [2025-03-11 04:47:00,391 INFO hook.py line 689 2389709] door : 0.6628 0.7927 [2025-03-11 04:47:00,391 INFO hook.py line 689 2389709] couch : 0.7989 0.8497 [2025-03-11 04:47:00,391 INFO hook.py line 689 2389709] cabinet : 0.3696 0.5486 [2025-03-11 04:47:00,391 INFO hook.py line 689 2389709] shelf : 0.4103 0.5890 [2025-03-11 04:47:00,391 INFO hook.py line 689 2389709] desk : 0.5491 0.8190 [2025-03-11 04:47:00,392 INFO hook.py line 689 2389709] office chair : 0.2222 0.6745 [2025-03-11 04:47:00,392 INFO hook.py line 689 2389709] bed : 0.7872 0.9031 [2025-03-11 04:47:00,392 INFO hook.py line 689 2389709] pillow : 0.5905 0.7779 [2025-03-11 04:47:00,392 INFO hook.py line 689 2389709] sink : 0.6248 0.7072 [2025-03-11 04:47:00,392 INFO hook.py line 689 2389709] picture : 0.3673 0.5576 [2025-03-11 04:47:00,392 INFO hook.py line 689 2389709] window : 0.5663 0.6986 [2025-03-11 04:47:00,392 INFO hook.py line 689 2389709] toilet : 0.9331 0.9629 [2025-03-11 04:47:00,392 INFO hook.py line 689 2389709] bookshelf : 0.5013 0.7308 [2025-03-11 04:47:00,392 INFO hook.py line 689 2389709] monitor : 0.8544 0.9203 [2025-03-11 04:47:00,392 INFO hook.py line 689 2389709] curtain : 0.6936 0.8368 [2025-03-11 04:47:00,392 INFO hook.py line 689 2389709] book : 0.4552 0.6284 [2025-03-11 04:47:00,393 INFO hook.py line 689 2389709] armchair : 0.5710 0.7752 [2025-03-11 04:47:00,393 INFO hook.py line 689 2389709] coffee table : 0.5536 0.7852 [2025-03-11 04:47:00,393 INFO hook.py line 689 2389709] box : 0.2792 0.3444 [2025-03-11 04:47:00,393 INFO hook.py line 689 2389709] refrigerator : 0.6788 0.7306 [2025-03-11 04:47:00,393 INFO hook.py line 689 2389709] lamp : 0.6726 0.7588 [2025-03-11 04:47:00,393 INFO hook.py line 689 2389709] kitchen cabinet: 0.6574 0.7536 [2025-03-11 04:47:00,393 INFO hook.py line 689 2389709] towel : 0.4092 0.4876 [2025-03-11 04:47:00,393 INFO hook.py line 689 2389709] clothes : 0.1675 0.3919 [2025-03-11 04:47:00,393 INFO hook.py line 689 2389709] tv : 0.8506 0.8825 [2025-03-11 04:47:00,393 INFO hook.py line 689 2389709] nightstand : 0.6724 0.8738 [2025-03-11 04:47:00,394 INFO hook.py line 689 2389709] counter : 0.2888 0.4945 [2025-03-11 04:47:00,394 INFO hook.py line 689 2389709] dresser : 0.3218 0.3686 [2025-03-11 04:47:00,394 INFO hook.py line 689 2389709] stool : 0.5364 0.7780 [2025-03-11 04:47:00,394 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 04:47:00,394 INFO hook.py line 689 2389709] plant : 0.7644 0.8804 [2025-03-11 04:47:00,394 INFO hook.py line 689 2389709] ceiling : 0.9264 0.9687 [2025-03-11 04:47:00,394 INFO hook.py line 689 2389709] bathtub : 0.8723 0.9199 [2025-03-11 04:47:00,394 INFO hook.py line 689 2389709] end table : 0.1513 0.2908 [2025-03-11 04:47:00,394 INFO hook.py line 689 2389709] dining table : 0.0523 0.1099 [2025-03-11 04:47:00,394 INFO hook.py line 689 2389709] keyboard : 0.4099 0.4797 [2025-03-11 04:47:00,394 INFO hook.py line 689 2389709] bag : 0.0854 0.1176 [2025-03-11 04:47:00,395 INFO hook.py line 689 2389709] backpack : 0.5958 0.7540 [2025-03-11 04:47:00,395 INFO hook.py line 689 2389709] toilet paper : 0.4932 0.5477 [2025-03-11 04:47:00,395 INFO hook.py line 689 2389709] printer : 0.4343 0.7308 [2025-03-11 04:47:00,395 INFO hook.py line 689 2389709] tv stand : 0.4504 0.4959 [2025-03-11 04:47:00,395 INFO hook.py line 689 2389709] whiteboard : 0.4690 0.7600 [2025-03-11 04:47:00,395 INFO hook.py line 689 2389709] blanket : 0.0505 0.0591 [2025-03-11 04:47:00,395 INFO hook.py line 689 2389709] shower curtain : 0.6711 0.7522 [2025-03-11 04:47:00,395 INFO hook.py line 689 2389709] trash can : 0.5923 0.8380 [2025-03-11 04:47:00,395 INFO hook.py line 689 2389709] closet : 0.1185 0.1504 [2025-03-11 04:47:00,395 INFO hook.py line 689 2389709] stairs : 0.5958 0.6842 [2025-03-11 04:47:00,395 INFO hook.py line 689 2389709] microwave : 0.5620 0.6887 [2025-03-11 04:47:00,396 INFO hook.py line 689 2389709] stove : 0.5665 0.8394 [2025-03-11 04:47:00,396 INFO hook.py line 689 2389709] shoe : 0.5267 0.6594 [2025-03-11 04:47:00,396 INFO hook.py line 689 2389709] computer tower : 0.5711 0.7401 [2025-03-11 04:47:00,396 INFO hook.py line 689 2389709] bottle : 0.1382 0.3195 [2025-03-11 04:47:00,396 INFO hook.py line 689 2389709] bin : 0.0003 0.0007 [2025-03-11 04:47:00,396 INFO hook.py line 689 2389709] ottoman : 0.3010 0.3234 [2025-03-11 04:47:00,396 INFO hook.py line 689 2389709] bench : 0.4018 0.5174 [2025-03-11 04:47:00,396 INFO hook.py line 689 2389709] board : 0.2000 0.2784 [2025-03-11 04:47:00,396 INFO hook.py line 689 2389709] washing machine: 0.8751 0.9105 [2025-03-11 04:47:00,396 INFO hook.py line 689 2389709] mirror : 0.4082 0.5370 [2025-03-11 04:47:00,397 INFO hook.py line 689 2389709] copier : 0.7320 0.9286 [2025-03-11 04:47:00,397 INFO hook.py line 689 2389709] basket : 0.0029 0.0043 [2025-03-11 04:47:00,397 INFO hook.py line 689 2389709] sofa chair : 0.0947 0.1044 [2025-03-11 04:47:00,397 INFO hook.py line 689 2389709] file cabinet : 0.4321 0.5710 [2025-03-11 04:47:00,397 INFO hook.py line 689 2389709] fan : 0.4092 0.4794 [2025-03-11 04:47:00,397 INFO hook.py line 689 2389709] laptop : 0.5108 0.6043 [2025-03-11 04:47:00,397 INFO hook.py line 689 2389709] shower : 0.1609 0.1715 [2025-03-11 04:47:00,397 INFO hook.py line 689 2389709] paper : 0.0143 0.0156 [2025-03-11 04:47:00,397 INFO hook.py line 689 2389709] person : 0.3477 0.5273 [2025-03-11 04:47:00,397 INFO hook.py line 689 2389709] paper towel dispenser: 0.4734 0.6577 [2025-03-11 04:47:00,397 INFO hook.py line 689 2389709] oven : 0.1046 0.1090 [2025-03-11 04:47:00,398 INFO hook.py line 689 2389709] blinds : 0.0091 0.0124 [2025-03-11 04:47:00,398 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 04:47:00,398 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 04:47:00,398 INFO hook.py line 689 2389709] blackboard : 0.6126 0.7277 [2025-03-11 04:47:00,398 INFO hook.py line 689 2389709] piano : 0.2632 0.3036 [2025-03-11 04:47:00,398 INFO hook.py line 689 2389709] suitcase : 0.6727 0.7703 [2025-03-11 04:47:00,398 INFO hook.py line 689 2389709] rail : 0.0144 0.0150 [2025-03-11 04:47:00,398 INFO hook.py line 689 2389709] radiator : 0.5755 0.6457 [2025-03-11 04:47:00,398 INFO hook.py line 689 2389709] recycling bin : 0.3753 0.5975 [2025-03-11 04:47:00,398 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 04:47:00,398 INFO hook.py line 689 2389709] wardrobe : 0.2434 0.2992 [2025-03-11 04:47:00,399 INFO hook.py line 689 2389709] soap dispenser : 0.8277 0.9086 [2025-03-11 04:47:00,399 INFO hook.py line 689 2389709] telephone : 0.3229 0.4209 [2025-03-11 04:47:00,399 INFO hook.py line 689 2389709] bucket : 0.3703 0.4344 [2025-03-11 04:47:00,399 INFO hook.py line 689 2389709] clock : 0.2447 0.3000 [2025-03-11 04:47:00,399 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 04:47:00,399 INFO hook.py line 689 2389709] light : 0.0414 0.0474 [2025-03-11 04:47:00,399 INFO hook.py line 689 2389709] laundry basket : 0.0035 0.0035 [2025-03-11 04:47:00,399 INFO hook.py line 689 2389709] pipe : 0.0527 0.0933 [2025-03-11 04:47:00,399 INFO hook.py line 689 2389709] clothes dryer : 0.7323 0.7880 [2025-03-11 04:47:00,399 INFO hook.py line 689 2389709] guitar : 0.6775 0.8138 [2025-03-11 04:47:00,399 INFO hook.py line 689 2389709] toilet paper holder: 0.0289 0.1344 [2025-03-11 04:47:00,400 INFO hook.py line 689 2389709] seat : 0.0139 0.0158 [2025-03-11 04:47:00,400 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 04:47:00,400 INFO hook.py line 689 2389709] column : 0.1836 0.2299 [2025-03-11 04:47:00,400 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 04:47:00,400 INFO hook.py line 689 2389709] ladder : 0.4517 0.5165 [2025-03-11 04:47:00,400 INFO hook.py line 689 2389709] bathroom stall : 0.5259 0.7362 [2025-03-11 04:47:00,400 INFO hook.py line 689 2389709] shower wall : 0.4328 0.5752 [2025-03-11 04:47:00,400 INFO hook.py line 689 2389709] cup : 0.1862 0.3404 [2025-03-11 04:47:00,400 INFO hook.py line 689 2389709] jacket : 0.2579 0.3615 [2025-03-11 04:47:00,400 INFO hook.py line 689 2389709] storage bin : 0.0481 0.0557 [2025-03-11 04:47:00,400 INFO hook.py line 689 2389709] coffee maker : 0.9161 0.9858 [2025-03-11 04:47:00,401 INFO hook.py line 689 2389709] dishwasher : 0.3261 0.5287 [2025-03-11 04:47:00,401 INFO hook.py line 689 2389709] paper towel roll: 0.3391 0.3858 [2025-03-11 04:47:00,401 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 04:47:00,401 INFO hook.py line 689 2389709] mat : 0.3425 0.4244 [2025-03-11 04:47:00,401 INFO hook.py line 689 2389709] windowsill : 0.0436 0.0438 [2025-03-11 04:47:00,401 INFO hook.py line 689 2389709] bar : 0.1467 0.2829 [2025-03-11 04:47:00,401 INFO hook.py line 689 2389709] toaster : 0.4884 0.5170 [2025-03-11 04:47:00,401 INFO hook.py line 689 2389709] bulletin board : 0.2585 0.3271 [2025-03-11 04:47:00,401 INFO hook.py line 689 2389709] ironing board : 0.1679 0.1819 [2025-03-11 04:47:00,401 INFO hook.py line 689 2389709] fireplace : 0.3912 0.4010 [2025-03-11 04:47:00,401 INFO hook.py line 689 2389709] soap dish : 0.3507 0.4513 [2025-03-11 04:47:00,401 INFO hook.py line 689 2389709] kitchen counter: 0.5452 0.6786 [2025-03-11 04:47:00,402 INFO hook.py line 689 2389709] doorframe : 0.3991 0.6402 [2025-03-11 04:47:00,402 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4137 0.5277 [2025-03-11 04:47:00,402 INFO hook.py line 689 2389709] mini fridge : 0.1806 0.1865 [2025-03-11 04:47:00,403 INFO hook.py line 689 2389709] fire extinguisher: 0.1325 0.1560 [2025-03-11 04:47:00,403 INFO hook.py line 689 2389709] ball : 0.7164 0.9526 [2025-03-11 04:47:00,403 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 04:47:00,403 INFO hook.py line 689 2389709] shower curtain rod: 0.3566 0.8580 [2025-03-11 04:47:00,403 INFO hook.py line 689 2389709] water cooler : 0.4660 0.9618 [2025-03-11 04:47:00,403 INFO hook.py line 689 2389709] paper cutter : 0.2369 0.2651 [2025-03-11 04:47:00,403 INFO hook.py line 689 2389709] tray : 0.0381 0.0819 [2025-03-11 04:47:00,403 INFO hook.py line 689 2389709] shower door : 0.1836 0.2177 [2025-03-11 04:47:00,403 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 04:47:00,403 INFO hook.py line 689 2389709] ledge : 0.0224 0.0302 [2025-03-11 04:47:00,403 INFO hook.py line 689 2389709] toaster oven : 0.1644 0.1672 [2025-03-11 04:47:00,404 INFO hook.py line 689 2389709] mouse : 0.1822 0.4375 [2025-03-11 04:47:00,404 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7018 0.8086 [2025-03-11 04:47:00,404 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 04:47:00,404 INFO hook.py line 689 2389709] cart : 0.2663 0.3192 [2025-03-11 04:47:00,404 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 04:47:00,404 INFO hook.py line 689 2389709] scale : 0.5427 0.9415 [2025-03-11 04:47:00,404 INFO hook.py line 689 2389709] tissue box : 0.2573 0.3372 [2025-03-11 04:47:00,404 INFO hook.py line 689 2389709] light switch : 0.0288 0.1003 [2025-03-11 04:47:00,404 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 04:47:00,404 INFO hook.py line 689 2389709] power outlet : 0.0133 0.0141 [2025-03-11 04:47:00,404 INFO hook.py line 689 2389709] decoration : 0.3386 0.5262 [2025-03-11 04:47:00,404 INFO hook.py line 689 2389709] sign : 0.0242 0.0279 [2025-03-11 04:47:00,409 INFO hook.py line 689 2389709] projector : 0.1136 1.0000 [2025-03-11 04:47:00,410 INFO hook.py line 689 2389709] closet door : 0.0752 0.0808 [2025-03-11 04:47:00,410 INFO hook.py line 689 2389709] vacuum cleaner : 0.8280 0.9420 [2025-03-11 04:47:00,410 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 04:47:00,410 INFO hook.py line 689 2389709] plunger : 0.3857 0.8777 [2025-03-11 04:47:00,410 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 04:47:00,410 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 04:47:00,410 INFO hook.py line 689 2389709] dish rack : 0.7793 0.9170 [2025-03-11 04:47:00,410 INFO hook.py line 689 2389709] broom : 0.0935 0.1172 [2025-03-11 04:47:00,410 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 04:47:00,410 INFO hook.py line 689 2389709] range hood : 0.7539 0.9071 [2025-03-11 04:47:00,410 INFO hook.py line 689 2389709] dustpan : 0.0843 0.1815 [2025-03-11 04:47:00,411 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 04:47:00,411 INFO hook.py line 689 2389709] water bottle : 0.0145 0.0748 [2025-03-11 04:47:00,411 INFO hook.py line 689 2389709] handicap bar : 0.0502 0.8006 [2025-03-11 04:47:00,411 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 04:47:00,411 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 04:47:00,411 INFO hook.py line 689 2389709] shower floor : 0.5802 0.9972 [2025-03-11 04:47:00,411 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 04:47:00,411 INFO hook.py line 689 2389709] mailbox : 0.1291 0.1308 [2025-03-11 04:47:00,411 INFO hook.py line 689 2389709] bowl : 0.0549 0.0699 [2025-03-11 04:47:00,411 INFO hook.py line 689 2389709] paper bag : 0.0696 0.2340 [2025-03-11 04:47:00,411 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 04:47:00,411 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 04:47:00,412 INFO hook.py line 689 2389709] projector screen: 0.0013 0.0014 [2025-03-11 04:47:00,412 INFO hook.py line 689 2389709] divider : 0.2739 0.2883 [2025-03-11 04:47:00,412 INFO hook.py line 689 2389709] laundry detergent: 0.0114 0.0132 [2025-03-11 04:47:00,412 INFO hook.py line 689 2389709] bathroom counter: 0.1788 0.2008 [2025-03-11 04:47:00,412 INFO hook.py line 689 2389709] object : 0.0359 0.0670 [2025-03-11 04:47:00,412 INFO hook.py line 689 2389709] bathroom vanity: 0.4725 0.7219 [2025-03-11 04:47:00,412 INFO hook.py line 689 2389709] closet wall : 0.1030 0.1518 [2025-03-11 04:47:00,412 INFO hook.py line 689 2389709] laundry hamper : 0.0005 0.0005 [2025-03-11 04:47:00,412 INFO hook.py line 689 2389709] bathroom stall door: 0.5586 0.6274 [2025-03-11 04:47:00,412 INFO hook.py line 689 2389709] ceiling light : 0.2244 0.2664 [2025-03-11 04:47:00,412 INFO hook.py line 689 2389709] trash bin : 0.3794 0.5011 [2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] dumbbell : 0.1399 0.9748 [2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] stair rail : 0.0846 0.0981 [2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] tube : 0.1147 0.1233 [2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] bathroom cabinet: 0.2403 0.4969 [2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] closet rod : 0.2979 0.8838 [2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] coffee kettle : 0.2305 0.2394 [2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] shower head : 0.2937 0.3490 [2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] case of water bottles: 0.0151 0.0152 [2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 04:47:00,414 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 04:47:00,414 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 04:47:00,414 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 04:47:00,414 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 04:47:00,414 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 04:47:00,414 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 04:47:00,414 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 04:47:00,414 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 [2025-03-11 04:47:00,414 INFO hook.py line 690 2389709] ######################################## [2025-03-11 04:47:00,414 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3020/0.4027/0.8108. [2025-03-11 04:47:00,415 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 04:47:00,426 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.3020 [2025-03-11 04:47:00,426 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3020 [2025-03-11 04:47:00,427 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 04:47:30,425 INFO hook.py line 566 2389709] Train: [64/100][50/300] Data 0.002 (0.002) Batch 0.484 (0.499) Remain 01:31:54 loss: 0.5185 Lr: 1.63821e-03 [2025-03-11 04:47:55,020 INFO hook.py line 566 2389709] Train: [64/100][100/300] Data 0.003 (0.002) Batch 0.485 (0.495) Remain 01:30:49 loss: 0.3027 Lr: 1.62529e-03 [2025-03-11 04:48:19,413 INFO hook.py line 566 2389709] Train: [64/100][150/300] Data 0.002 (0.002) Batch 0.493 (0.493) Remain 01:29:56 loss: 0.7791 Lr: 1.61240e-03 [2025-03-11 04:48:43,797 INFO hook.py line 566 2389709] Train: [64/100][200/300] Data 0.002 (0.002) Batch 0.501 (0.492) Remain 01:29:17 loss: 0.5970 Lr: 1.59953e-03 [2025-03-11 04:49:08,283 INFO hook.py line 566 2389709] Train: [64/100][250/300] Data 0.003 (0.002) Batch 0.475 (0.491) Remain 01:28:48 loss: 0.3748 Lr: 1.58670e-03 [2025-03-11 04:49:32,652 INFO hook.py line 566 2389709] Train: [64/100][300/300] Data 0.002 (0.002) Batch 0.447 (0.491) Remain 01:28:17 loss: 0.7517 Lr: 1.57389e-03 [2025-03-11 04:49:32,653 INFO misc.py line 135 2389709] Train result: loss: 0.5811 [2025-03-11 04:49:32,754 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 04:50:27,675 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3433 [2025-03-11 04:50:27,756 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.0883 [2025-03-11 04:50:27,801 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7292 [2025-03-11 04:50:27,850 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5816 [2025-03-11 04:50:27,895 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9198 [2025-03-11 04:50:27,957 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8411 [2025-03-11 04:50:28,012 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7837 [2025-03-11 04:50:28,039 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2245 [2025-03-11 04:50:28,095 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2610 [2025-03-11 04:50:28,157 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.3193 [2025-03-11 04:50:28,215 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1479 [2025-03-11 04:50:28,252 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.5093 [2025-03-11 04:50:28,303 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.7751 [2025-03-11 04:50:28,348 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.2763 [2025-03-11 04:50:28,389 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.8408 [2025-03-11 04:50:28,444 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1285 [2025-03-11 04:50:28,485 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2880 [2025-03-11 04:50:28,524 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0746 [2025-03-11 04:50:28,577 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5898 [2025-03-11 04:50:28,616 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5166 [2025-03-11 04:50:28,657 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.8180 [2025-03-11 04:50:28,698 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6492 [2025-03-11 04:50:28,730 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4480 [2025-03-11 04:50:28,786 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0707 [2025-03-11 04:50:28,829 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5921 [2025-03-11 04:50:28,876 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1941 [2025-03-11 04:50:28,934 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8035 [2025-03-11 04:50:28,974 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6147 [2025-03-11 04:50:29,007 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.2238 [2025-03-11 04:50:29,061 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.3984 [2025-03-11 04:50:29,121 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4790 [2025-03-11 04:50:29,159 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0586 [2025-03-11 04:50:29,230 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.0310 [2025-03-11 04:50:29,273 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.4379 [2025-03-11 04:50:29,313 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1742 [2025-03-11 04:50:29,354 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3419 [2025-03-11 04:50:29,396 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.7612 [2025-03-11 04:50:29,429 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8309 [2025-03-11 04:50:29,499 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.9595 [2025-03-11 04:50:29,546 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5783 [2025-03-11 04:50:29,594 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4931 [2025-03-11 04:50:29,626 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4237 [2025-03-11 04:50:29,670 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3320 [2025-03-11 04:50:29,732 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9082 [2025-03-11 04:50:29,768 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.6577 [2025-03-11 04:50:29,817 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9976 [2025-03-11 04:50:29,859 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9401 [2025-03-11 04:50:29,898 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9276 [2025-03-11 04:50:29,933 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.6240 [2025-03-11 04:50:29,966 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.2893 [2025-03-11 04:50:30,000 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3949 [2025-03-11 04:50:30,040 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5190 [2025-03-11 04:50:30,072 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2510 [2025-03-11 04:50:30,112 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.5351 [2025-03-11 04:50:30,150 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4974 [2025-03-11 04:50:30,194 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.1506 [2025-03-11 04:50:30,232 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.3927 [2025-03-11 04:50:30,261 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.0852 [2025-03-11 04:50:30,303 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8089 [2025-03-11 04:50:30,344 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6396 [2025-03-11 04:50:30,373 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7613 [2025-03-11 04:50:30,413 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1574 [2025-03-11 04:50:30,454 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.9943 [2025-03-11 04:50:30,515 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8682 [2025-03-11 04:50:30,547 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2338 [2025-03-11 04:50:30,589 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.3217 [2025-03-11 04:50:30,633 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.7685 [2025-03-11 04:50:30,674 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0083 [2025-03-11 04:50:30,711 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4023 [2025-03-11 04:50:30,771 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.3279 [2025-03-11 04:50:30,819 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5989 [2025-03-11 04:50:30,877 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6428 [2025-03-11 04:50:30,939 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6974 [2025-03-11 04:50:30,982 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.8861 [2025-03-11 04:50:31,033 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.8979 [2025-03-11 04:50:31,062 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.1854 [2025-03-11 04:50:31,124 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6654 [2025-03-11 04:50:31,154 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.0667 [2025-03-11 04:50:32,425 INFO hook.py line 674 2389709] ######################################## [2025-03-11 04:50:32,425 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 04:50:32,426 INFO hook.py line 680 2389709] ######################################## [2025-03-11 04:50:32,426 INFO hook.py line 689 2389709] wall : 0.7962 0.9161 [2025-03-11 04:50:32,426 INFO hook.py line 689 2389709] chair : 0.6602 0.7919 [2025-03-11 04:50:32,426 INFO hook.py line 689 2389709] floor : 0.9558 0.9817 [2025-03-11 04:50:32,426 INFO hook.py line 689 2389709] table : 0.6179 0.7119 [2025-03-11 04:50:32,426 INFO hook.py line 689 2389709] door : 0.6305 0.7745 [2025-03-11 04:50:32,426 INFO hook.py line 689 2389709] couch : 0.8157 0.9080 [2025-03-11 04:50:32,426 INFO hook.py line 689 2389709] cabinet : 0.3548 0.5695 [2025-03-11 04:50:32,426 INFO hook.py line 689 2389709] shelf : 0.4078 0.5436 [2025-03-11 04:50:32,426 INFO hook.py line 689 2389709] desk : 0.5828 0.8172 [2025-03-11 04:50:32,427 INFO hook.py line 689 2389709] office chair : 0.2266 0.5022 [2025-03-11 04:50:32,427 INFO hook.py line 689 2389709] bed : 0.7727 0.8753 [2025-03-11 04:50:32,427 INFO hook.py line 689 2389709] pillow : 0.5549 0.6924 [2025-03-11 04:50:32,427 INFO hook.py line 689 2389709] sink : 0.6717 0.7734 [2025-03-11 04:50:32,427 INFO hook.py line 689 2389709] picture : 0.3740 0.4976 [2025-03-11 04:50:32,427 INFO hook.py line 689 2389709] window : 0.5427 0.7296 [2025-03-11 04:50:32,427 INFO hook.py line 689 2389709] toilet : 0.9443 0.9720 [2025-03-11 04:50:32,427 INFO hook.py line 689 2389709] bookshelf : 0.4564 0.6246 [2025-03-11 04:50:32,427 INFO hook.py line 689 2389709] monitor : 0.8176 0.8704 [2025-03-11 04:50:32,427 INFO hook.py line 689 2389709] curtain : 0.7357 0.8475 [2025-03-11 04:50:32,428 INFO hook.py line 689 2389709] book : 0.4527 0.7620 [2025-03-11 04:50:32,428 INFO hook.py line 689 2389709] armchair : 0.5366 0.7186 [2025-03-11 04:50:32,428 INFO hook.py line 689 2389709] coffee table : 0.6024 0.7985 [2025-03-11 04:50:32,428 INFO hook.py line 689 2389709] box : 0.3407 0.4602 [2025-03-11 04:50:32,428 INFO hook.py line 689 2389709] refrigerator : 0.6287 0.7335 [2025-03-11 04:50:32,428 INFO hook.py line 689 2389709] lamp : 0.6839 0.7995 [2025-03-11 04:50:32,428 INFO hook.py line 689 2389709] kitchen cabinet: 0.6444 0.7454 [2025-03-11 04:50:32,428 INFO hook.py line 689 2389709] towel : 0.4348 0.7064 [2025-03-11 04:50:32,428 INFO hook.py line 689 2389709] clothes : 0.1952 0.4172 [2025-03-11 04:50:32,428 INFO hook.py line 689 2389709] tv : 0.8362 0.8898 [2025-03-11 04:50:32,428 INFO hook.py line 689 2389709] nightstand : 0.6733 0.8607 [2025-03-11 04:50:32,428 INFO hook.py line 689 2389709] counter : 0.2433 0.5303 [2025-03-11 04:50:32,429 INFO hook.py line 689 2389709] dresser : 0.3433 0.4737 [2025-03-11 04:50:32,429 INFO hook.py line 689 2389709] stool : 0.4444 0.5930 [2025-03-11 04:50:32,429 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 04:50:32,429 INFO hook.py line 689 2389709] plant : 0.7250 0.8639 [2025-03-11 04:50:32,429 INFO hook.py line 689 2389709] ceiling : 0.9280 0.9575 [2025-03-11 04:50:32,429 INFO hook.py line 689 2389709] bathtub : 0.8753 0.8979 [2025-03-11 04:50:32,429 INFO hook.py line 689 2389709] end table : 0.1932 0.3181 [2025-03-11 04:50:32,429 INFO hook.py line 689 2389709] dining table : 0.0265 0.0372 [2025-03-11 04:50:32,429 INFO hook.py line 689 2389709] keyboard : 0.3775 0.6071 [2025-03-11 04:50:32,429 INFO hook.py line 689 2389709] bag : 0.1743 0.3042 [2025-03-11 04:50:32,429 INFO hook.py line 689 2389709] backpack : 0.6244 0.6702 [2025-03-11 04:50:32,430 INFO hook.py line 689 2389709] toilet paper : 0.4795 0.5704 [2025-03-11 04:50:32,430 INFO hook.py line 689 2389709] printer : 0.4347 0.5743 [2025-03-11 04:50:32,430 INFO hook.py line 689 2389709] tv stand : 0.4592 0.9535 [2025-03-11 04:50:32,430 INFO hook.py line 689 2389709] whiteboard : 0.4673 0.6126 [2025-03-11 04:50:32,430 INFO hook.py line 689 2389709] blanket : 0.0430 0.0878 [2025-03-11 04:50:32,430 INFO hook.py line 689 2389709] shower curtain : 0.7014 0.7882 [2025-03-11 04:50:32,430 INFO hook.py line 689 2389709] trash can : 0.6449 0.8118 [2025-03-11 04:50:32,430 INFO hook.py line 689 2389709] closet : 0.1658 0.2444 [2025-03-11 04:50:32,430 INFO hook.py line 689 2389709] stairs : 0.5231 0.6599 [2025-03-11 04:50:32,430 INFO hook.py line 689 2389709] microwave : 0.5370 0.6552 [2025-03-11 04:50:32,430 INFO hook.py line 689 2389709] stove : 0.6502 0.7906 [2025-03-11 04:50:32,431 INFO hook.py line 689 2389709] shoe : 0.4624 0.6526 [2025-03-11 04:50:32,431 INFO hook.py line 689 2389709] computer tower : 0.6026 0.7514 [2025-03-11 04:50:32,431 INFO hook.py line 689 2389709] bottle : 0.1533 0.3666 [2025-03-11 04:50:32,431 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 04:50:32,431 INFO hook.py line 689 2389709] ottoman : 0.4893 0.5003 [2025-03-11 04:50:32,431 INFO hook.py line 689 2389709] bench : 0.1700 0.1944 [2025-03-11 04:50:32,431 INFO hook.py line 689 2389709] board : 0.1647 0.2257 [2025-03-11 04:50:32,431 INFO hook.py line 689 2389709] washing machine: 0.8247 0.9201 [2025-03-11 04:50:32,431 INFO hook.py line 689 2389709] mirror : 0.3658 0.4892 [2025-03-11 04:50:32,431 INFO hook.py line 689 2389709] copier : 0.8794 0.9469 [2025-03-11 04:50:32,431 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 04:50:32,432 INFO hook.py line 689 2389709] sofa chair : 0.1452 0.1735 [2025-03-11 04:50:32,432 INFO hook.py line 689 2389709] file cabinet : 0.5010 0.6423 [2025-03-11 04:50:32,432 INFO hook.py line 689 2389709] fan : 0.4198 0.4404 [2025-03-11 04:50:32,432 INFO hook.py line 689 2389709] laptop : 0.5047 0.6076 [2025-03-11 04:50:32,432 INFO hook.py line 689 2389709] shower : 0.0894 0.0939 [2025-03-11 04:50:32,432 INFO hook.py line 689 2389709] paper : 0.1024 0.2115 [2025-03-11 04:50:32,432 INFO hook.py line 689 2389709] person : 0.4203 0.5146 [2025-03-11 04:50:32,432 INFO hook.py line 689 2389709] paper towel dispenser: 0.5334 0.6085 [2025-03-11 04:50:32,432 INFO hook.py line 689 2389709] oven : 0.1473 0.2165 [2025-03-11 04:50:32,432 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 04:50:32,432 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 04:50:32,433 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 04:50:32,433 INFO hook.py line 689 2389709] blackboard : 0.5832 0.6872 [2025-03-11 04:50:32,433 INFO hook.py line 689 2389709] piano : 0.7697 0.8657 [2025-03-11 04:50:32,433 INFO hook.py line 689 2389709] suitcase : 0.6006 0.7325 [2025-03-11 04:50:32,433 INFO hook.py line 689 2389709] rail : 0.0625 0.0692 [2025-03-11 04:50:32,433 INFO hook.py line 689 2389709] radiator : 0.6457 0.7026 [2025-03-11 04:50:32,433 INFO hook.py line 689 2389709] recycling bin : 0.4732 0.6548 [2025-03-11 04:50:32,433 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 04:50:32,433 INFO hook.py line 689 2389709] wardrobe : 0.3066 0.4446 [2025-03-11 04:50:32,433 INFO hook.py line 689 2389709] soap dispenser : 0.8457 0.9115 [2025-03-11 04:50:32,433 INFO hook.py line 689 2389709] telephone : 0.3198 0.5201 [2025-03-11 04:50:32,434 INFO hook.py line 689 2389709] bucket : 0.4530 0.7850 [2025-03-11 04:50:32,434 INFO hook.py line 689 2389709] clock : 0.2814 0.3737 [2025-03-11 04:50:32,434 INFO hook.py line 689 2389709] stand : 0.0001 0.0020 [2025-03-11 04:50:32,434 INFO hook.py line 689 2389709] light : 0.0557 0.0661 [2025-03-11 04:50:32,434 INFO hook.py line 689 2389709] laundry basket : 0.0750 0.0891 [2025-03-11 04:50:32,434 INFO hook.py line 689 2389709] pipe : 0.0524 0.0721 [2025-03-11 04:50:32,434 INFO hook.py line 689 2389709] clothes dryer : 0.6253 0.6844 [2025-03-11 04:50:32,434 INFO hook.py line 689 2389709] guitar : 0.7117 0.8007 [2025-03-11 04:50:32,434 INFO hook.py line 689 2389709] toilet paper holder: 0.0404 0.1515 [2025-03-11 04:50:32,434 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 04:50:32,434 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 04:50:32,434 INFO hook.py line 689 2389709] column : 0.0899 0.1127 [2025-03-11 04:50:32,435 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 04:50:32,435 INFO hook.py line 689 2389709] ladder : 0.5409 0.7137 [2025-03-11 04:50:32,435 INFO hook.py line 689 2389709] bathroom stall : 0.3767 0.4368 [2025-03-11 04:50:32,435 INFO hook.py line 689 2389709] shower wall : 0.5006 0.6439 [2025-03-11 04:50:32,435 INFO hook.py line 689 2389709] cup : 0.1798 0.5837 [2025-03-11 04:50:32,435 INFO hook.py line 689 2389709] jacket : 0.1374 0.2302 [2025-03-11 04:50:32,435 INFO hook.py line 689 2389709] storage bin : 0.0400 0.0737 [2025-03-11 04:50:32,435 INFO hook.py line 689 2389709] coffee maker : 0.6443 0.8248 [2025-03-11 04:50:32,435 INFO hook.py line 689 2389709] dishwasher : 0.2671 0.3001 [2025-03-11 04:50:32,435 INFO hook.py line 689 2389709] paper towel roll: 0.2813 0.3653 [2025-03-11 04:50:32,435 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 04:50:32,436 INFO hook.py line 689 2389709] mat : 0.1832 0.1923 [2025-03-11 04:50:32,436 INFO hook.py line 689 2389709] windowsill : 0.2154 0.2493 [2025-03-11 04:50:32,436 INFO hook.py line 689 2389709] bar : 0.1655 0.3188 [2025-03-11 04:50:32,436 INFO hook.py line 689 2389709] toaster : 0.2967 0.4670 [2025-03-11 04:50:32,436 INFO hook.py line 689 2389709] bulletin board : 0.2973 0.5195 [2025-03-11 04:50:32,436 INFO hook.py line 689 2389709] ironing board : 0.3303 0.4140 [2025-03-11 04:50:32,436 INFO hook.py line 689 2389709] fireplace : 0.5995 0.6231 [2025-03-11 04:50:32,436 INFO hook.py line 689 2389709] soap dish : 0.3588 0.4698 [2025-03-11 04:50:32,436 INFO hook.py line 689 2389709] kitchen counter: 0.4667 0.5537 [2025-03-11 04:50:32,436 INFO hook.py line 689 2389709] doorframe : 0.4066 0.6923 [2025-03-11 04:50:32,436 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3940 0.5257 [2025-03-11 04:50:32,437 INFO hook.py line 689 2389709] mini fridge : 0.3718 0.4348 [2025-03-11 04:50:32,437 INFO hook.py line 689 2389709] fire extinguisher: 0.1028 0.1188 [2025-03-11 04:50:32,437 INFO hook.py line 689 2389709] ball : 0.7707 0.9409 [2025-03-11 04:50:32,437 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 04:50:32,437 INFO hook.py line 689 2389709] shower curtain rod: 0.2475 0.9211 [2025-03-11 04:50:32,437 INFO hook.py line 689 2389709] water cooler : 0.8062 0.9257 [2025-03-11 04:50:32,437 INFO hook.py line 689 2389709] paper cutter : 0.2583 0.5188 [2025-03-11 04:50:32,437 INFO hook.py line 689 2389709] tray : 0.0473 0.0971 [2025-03-11 04:50:32,437 INFO hook.py line 689 2389709] shower door : 0.1881 0.3121 [2025-03-11 04:50:32,437 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 04:50:32,437 INFO hook.py line 689 2389709] ledge : 0.0689 0.0726 [2025-03-11 04:50:32,438 INFO hook.py line 689 2389709] toaster oven : 0.2369 0.2450 [2025-03-11 04:50:32,438 INFO hook.py line 689 2389709] mouse : 0.0848 0.4595 [2025-03-11 04:50:32,438 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7153 0.8670 [2025-03-11 04:50:32,438 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 04:50:32,438 INFO hook.py line 689 2389709] cart : 0.3127 0.3779 [2025-03-11 04:50:32,438 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 04:50:32,438 INFO hook.py line 689 2389709] scale : 0.5754 0.8988 [2025-03-11 04:50:32,438 INFO hook.py line 689 2389709] tissue box : 0.2456 0.2862 [2025-03-11 04:50:32,438 INFO hook.py line 689 2389709] light switch : 0.0288 0.2043 [2025-03-11 04:50:32,438 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 04:50:32,438 INFO hook.py line 689 2389709] power outlet : 0.2244 0.3695 [2025-03-11 04:50:32,439 INFO hook.py line 689 2389709] decoration : 0.3199 0.6525 [2025-03-11 04:50:32,439 INFO hook.py line 689 2389709] sign : 0.0031 0.0039 [2025-03-11 04:50:32,439 INFO hook.py line 689 2389709] projector : 0.0400 0.6735 [2025-03-11 04:50:32,439 INFO hook.py line 689 2389709] closet door : 0.1819 0.2184 [2025-03-11 04:50:32,439 INFO hook.py line 689 2389709] vacuum cleaner : 0.8177 0.8907 [2025-03-11 04:50:32,439 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 04:50:32,439 INFO hook.py line 689 2389709] plunger : 0.4840 0.9054 [2025-03-11 04:50:32,439 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 04:50:32,439 INFO hook.py line 689 2389709] headphones : 0.0546 0.1401 [2025-03-11 04:50:32,439 INFO hook.py line 689 2389709] dish rack : 0.7867 0.9578 [2025-03-11 04:50:32,439 INFO hook.py line 689 2389709] broom : 0.0237 0.0505 [2025-03-11 04:50:32,439 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 04:50:32,440 INFO hook.py line 689 2389709] range hood : 0.7378 0.9341 [2025-03-11 04:50:32,440 INFO hook.py line 689 2389709] dustpan : 0.1257 0.2201 [2025-03-11 04:50:32,440 INFO hook.py line 689 2389709] hair dryer : 0.0142 0.0373 [2025-03-11 04:50:32,440 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 04:50:32,440 INFO hook.py line 689 2389709] handicap bar : 0.0382 0.4128 [2025-03-11 04:50:32,440 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 04:50:32,440 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 04:50:32,440 INFO hook.py line 689 2389709] shower floor : 0.0000 0.0000 [2025-03-11 04:50:32,440 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 04:50:32,440 INFO hook.py line 689 2389709] mailbox : 0.4553 0.4688 [2025-03-11 04:50:32,440 INFO hook.py line 689 2389709] bowl : 0.0233 0.0292 [2025-03-11 04:50:32,441 INFO hook.py line 689 2389709] paper bag : 0.0657 0.1256 [2025-03-11 04:50:32,441 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 04:50:32,441 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 04:50:32,441 INFO hook.py line 689 2389709] projector screen: 0.0011 0.0011 [2025-03-11 04:50:32,441 INFO hook.py line 689 2389709] divider : 0.3984 0.4502 [2025-03-11 04:50:32,441 INFO hook.py line 689 2389709] laundry detergent: 0.0098 0.0127 [2025-03-11 04:50:32,441 INFO hook.py line 689 2389709] bathroom counter: 0.1761 0.1910 [2025-03-11 04:50:32,441 INFO hook.py line 689 2389709] object : 0.0302 0.0524 [2025-03-11 04:50:32,441 INFO hook.py line 689 2389709] bathroom vanity: 0.5106 0.8309 [2025-03-11 04:50:32,441 INFO hook.py line 689 2389709] closet wall : 0.0621 0.0739 [2025-03-11 04:50:32,441 INFO hook.py line 689 2389709] laundry hamper : 0.0132 0.0199 [2025-03-11 04:50:32,441 INFO hook.py line 689 2389709] bathroom stall door: 0.5197 0.7052 [2025-03-11 04:50:32,442 INFO hook.py line 689 2389709] ceiling light : 0.3852 0.4729 [2025-03-11 04:50:32,442 INFO hook.py line 689 2389709] trash bin : 0.2041 0.2558 [2025-03-11 04:50:32,442 INFO hook.py line 689 2389709] dumbbell : 0.5246 0.9748 [2025-03-11 04:50:32,442 INFO hook.py line 689 2389709] stair rail : 0.1528 0.1922 [2025-03-11 04:50:32,442 INFO hook.py line 689 2389709] tube : 0.1026 0.1682 [2025-03-11 04:50:32,442 INFO hook.py line 689 2389709] bathroom cabinet: 0.2505 0.3454 [2025-03-11 04:50:32,442 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 04:50:32,442 INFO hook.py line 689 2389709] closet rod : 0.3537 0.8472 [2025-03-11 04:50:32,442 INFO hook.py line 689 2389709] coffee kettle : 0.0909 0.1620 [2025-03-11 04:50:32,442 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 04:50:32,442 INFO hook.py line 689 2389709] shower head : 0.3025 0.3659 [2025-03-11 04:50:32,443 INFO hook.py line 689 2389709] keyboard piano : 0.0427 0.0438 [2025-03-11 04:50:32,443 INFO hook.py line 689 2389709] case of water bottles: 0.0215 0.0216 [2025-03-11 04:50:32,443 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 04:50:32,443 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 04:50:32,443 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 04:50:32,443 INFO hook.py line 689 2389709] fire alarm : 0.0873 0.5333 [2025-03-11 04:50:32,443 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 04:50:32,443 INFO hook.py line 689 2389709] calendar : 0.0809 0.1537 [2025-03-11 04:50:32,443 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 04:50:32,443 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 04:50:32,443 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 04:50:32,444 INFO hook.py line 689 2389709] mattress : 0.0718 0.0720 [2025-03-11 04:50:32,444 INFO hook.py line 690 2389709] ######################################## [2025-03-11 04:50:32,444 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3125/0.4174/0.8148. [2025-03-11 04:50:32,444 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 04:50:32,461 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.3125 [2025-03-11 04:50:32,462 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3125 [2025-03-11 04:50:32,462 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 04:51:04,118 INFO hook.py line 566 2389709] Train: [65/100][50/300] Data 0.002 (0.002) Batch 0.548 (0.499) Remain 01:29:25 loss: 0.7021 Lr: 1.56110e-03 [2025-03-11 04:51:28,959 INFO hook.py line 566 2389709] Train: [65/100][100/300] Data 0.004 (0.002) Batch 0.494 (0.498) Remain 01:28:47 loss: 0.6280 Lr: 1.54835e-03 [2025-03-11 04:51:53,427 INFO hook.py line 566 2389709] Train: [65/100][150/300] Data 0.002 (0.002) Batch 0.497 (0.495) Remain 01:27:51 loss: 0.6917 Lr: 1.53562e-03 [2025-03-11 04:52:18,185 INFO hook.py line 566 2389709] Train: [65/100][200/300] Data 0.003 (0.002) Batch 0.497 (0.495) Remain 01:27:27 loss: 0.7659 Lr: 1.52293e-03 [2025-03-11 04:52:42,601 INFO hook.py line 566 2389709] Train: [65/100][250/300] Data 0.002 (0.002) Batch 0.545 (0.494) Remain 01:26:48 loss: 0.7197 Lr: 1.51026e-03 [2025-03-11 04:53:07,125 INFO hook.py line 566 2389709] Train: [65/100][300/300] Data 0.002 (0.002) Batch 0.512 (0.493) Remain 01:26:18 loss: 0.6094 Lr: 1.49763e-03 [2025-03-11 04:53:07,126 INFO misc.py line 135 2389709] Train result: loss: 0.5814 [2025-03-11 04:53:07,240 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 04:53:54,981 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4770 [2025-03-11 04:53:55,105 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.1601 [2025-03-11 04:53:55,142 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6469 [2025-03-11 04:53:55,191 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5732 [2025-03-11 04:53:55,242 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0206 [2025-03-11 04:53:55,306 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0247 [2025-03-11 04:53:55,368 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7551 [2025-03-11 04:53:55,408 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3110 [2025-03-11 04:53:55,461 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.0621 [2025-03-11 04:53:55,508 INFO hook.py line 748 2389709] Test: [10/78] Loss 0.9791 [2025-03-11 04:53:55,562 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.0980 [2025-03-11 04:53:55,602 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1509 [2025-03-11 04:53:55,665 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.9672 [2025-03-11 04:53:55,708 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.2333 [2025-03-11 04:53:55,747 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.8725 [2025-03-11 04:53:55,800 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0993 [2025-03-11 04:53:55,842 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5232 [2025-03-11 04:53:55,882 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9063 [2025-03-11 04:53:55,930 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2959 [2025-03-11 04:53:55,966 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7883 [2025-03-11 04:53:56,005 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6724 [2025-03-11 04:53:56,059 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7169 [2025-03-11 04:53:56,091 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.8036 [2025-03-11 04:53:56,140 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.5011 [2025-03-11 04:53:56,183 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5739 [2025-03-11 04:53:56,228 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2150 [2025-03-11 04:53:56,282 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0947 [2025-03-11 04:53:56,320 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5083 [2025-03-11 04:53:56,358 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9247 [2025-03-11 04:53:56,418 INFO hook.py line 748 2389709] Test: [30/78] Loss 0.9499 [2025-03-11 04:53:56,478 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.3994 [2025-03-11 04:53:56,516 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0888 [2025-03-11 04:53:56,584 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.1149 [2025-03-11 04:53:56,628 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3582 [2025-03-11 04:53:56,680 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3549 [2025-03-11 04:53:56,728 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7257 [2025-03-11 04:53:56,768 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.1800 [2025-03-11 04:53:56,801 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7051 [2025-03-11 04:53:56,869 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.1285 [2025-03-11 04:53:56,919 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6059 [2025-03-11 04:53:56,964 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2776 [2025-03-11 04:53:56,998 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4591 [2025-03-11 04:53:57,043 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0400 [2025-03-11 04:53:57,100 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8456 [2025-03-11 04:53:57,142 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4431 [2025-03-11 04:53:57,194 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0359 [2025-03-11 04:53:57,233 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9376 [2025-03-11 04:53:57,266 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9382 [2025-03-11 04:53:57,302 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.8646 [2025-03-11 04:53:57,339 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.6246 [2025-03-11 04:53:57,369 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.8861 [2025-03-11 04:53:57,404 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5339 [2025-03-11 04:53:57,432 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4565 [2025-03-11 04:53:57,471 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.1502 [2025-03-11 04:53:57,513 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.2729 [2025-03-11 04:53:57,553 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.2881 [2025-03-11 04:53:57,591 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.1940 [2025-03-11 04:53:57,621 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9430 [2025-03-11 04:53:57,660 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8468 [2025-03-11 04:53:57,696 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5751 [2025-03-11 04:53:57,721 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7985 [2025-03-11 04:53:57,757 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0059 [2025-03-11 04:53:57,794 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2548 [2025-03-11 04:53:57,852 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7388 [2025-03-11 04:53:57,880 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3437 [2025-03-11 04:53:57,927 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.1196 [2025-03-11 04:53:57,966 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9944 [2025-03-11 04:53:58,004 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9173 [2025-03-11 04:53:58,039 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.2776 [2025-03-11 04:53:58,104 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7930 [2025-03-11 04:53:58,148 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.4135 [2025-03-11 04:53:58,203 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.4237 [2025-03-11 04:53:58,256 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7888 [2025-03-11 04:53:58,303 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.4879 [2025-03-11 04:53:58,358 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5209 [2025-03-11 04:53:58,390 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.2522 [2025-03-11 04:53:58,449 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5329 [2025-03-11 04:53:58,476 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2751 [2025-03-11 04:53:59,659 INFO hook.py line 674 2389709] ######################################## [2025-03-11 04:53:59,660 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 04:53:59,660 INFO hook.py line 680 2389709] ######################################## [2025-03-11 04:53:59,660 INFO hook.py line 689 2389709] wall : 0.7722 0.9282 [2025-03-11 04:53:59,660 INFO hook.py line 689 2389709] chair : 0.6923 0.7837 [2025-03-11 04:53:59,660 INFO hook.py line 689 2389709] floor : 0.9592 0.9817 [2025-03-11 04:53:59,660 INFO hook.py line 689 2389709] table : 0.6219 0.7940 [2025-03-11 04:53:59,661 INFO hook.py line 689 2389709] door : 0.6182 0.6822 [2025-03-11 04:53:59,661 INFO hook.py line 689 2389709] couch : 0.8250 0.9153 [2025-03-11 04:53:59,661 INFO hook.py line 689 2389709] cabinet : 0.3448 0.5347 [2025-03-11 04:53:59,661 INFO hook.py line 689 2389709] shelf : 0.3986 0.5648 [2025-03-11 04:53:59,661 INFO hook.py line 689 2389709] desk : 0.5507 0.6989 [2025-03-11 04:53:59,661 INFO hook.py line 689 2389709] office chair : 0.2473 0.5347 [2025-03-11 04:53:59,661 INFO hook.py line 689 2389709] bed : 0.7719 0.8667 [2025-03-11 04:53:59,661 INFO hook.py line 689 2389709] pillow : 0.5516 0.6775 [2025-03-11 04:53:59,661 INFO hook.py line 689 2389709] sink : 0.6844 0.7853 [2025-03-11 04:53:59,661 INFO hook.py line 689 2389709] picture : 0.3658 0.5576 [2025-03-11 04:53:59,661 INFO hook.py line 689 2389709] window : 0.5632 0.7292 [2025-03-11 04:53:59,662 INFO hook.py line 689 2389709] toilet : 0.9163 0.9676 [2025-03-11 04:53:59,662 INFO hook.py line 689 2389709] bookshelf : 0.4878 0.6836 [2025-03-11 04:53:59,662 INFO hook.py line 689 2389709] monitor : 0.8184 0.8686 [2025-03-11 04:53:59,662 INFO hook.py line 689 2389709] curtain : 0.6721 0.7653 [2025-03-11 04:53:59,662 INFO hook.py line 689 2389709] book : 0.4521 0.6748 [2025-03-11 04:53:59,662 INFO hook.py line 689 2389709] armchair : 0.5395 0.6604 [2025-03-11 04:53:59,662 INFO hook.py line 689 2389709] coffee table : 0.6293 0.7237 [2025-03-11 04:53:59,662 INFO hook.py line 689 2389709] box : 0.3139 0.4655 [2025-03-11 04:53:59,662 INFO hook.py line 689 2389709] refrigerator : 0.6415 0.7259 [2025-03-11 04:53:59,662 INFO hook.py line 689 2389709] lamp : 0.6742 0.8074 [2025-03-11 04:53:59,662 INFO hook.py line 689 2389709] kitchen cabinet: 0.6488 0.7499 [2025-03-11 04:53:59,663 INFO hook.py line 689 2389709] towel : 0.5306 0.6905 [2025-03-11 04:53:59,663 INFO hook.py line 689 2389709] clothes : 0.2395 0.3646 [2025-03-11 04:53:59,663 INFO hook.py line 689 2389709] tv : 0.8422 0.8995 [2025-03-11 04:53:59,663 INFO hook.py line 689 2389709] nightstand : 0.7058 0.8767 [2025-03-11 04:53:59,663 INFO hook.py line 689 2389709] counter : 0.3213 0.5124 [2025-03-11 04:53:59,663 INFO hook.py line 689 2389709] dresser : 0.3725 0.4594 [2025-03-11 04:53:59,663 INFO hook.py line 689 2389709] stool : 0.5017 0.7706 [2025-03-11 04:53:59,663 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 04:53:59,663 INFO hook.py line 689 2389709] plant : 0.7698 0.9103 [2025-03-11 04:53:59,663 INFO hook.py line 689 2389709] ceiling : 0.9318 0.9661 [2025-03-11 04:53:59,663 INFO hook.py line 689 2389709] bathtub : 0.8584 0.9140 [2025-03-11 04:53:59,664 INFO hook.py line 689 2389709] end table : 0.2057 0.2492 [2025-03-11 04:53:59,664 INFO hook.py line 689 2389709] dining table : 0.0179 0.0293 [2025-03-11 04:53:59,664 INFO hook.py line 689 2389709] keyboard : 0.4475 0.5593 [2025-03-11 04:53:59,664 INFO hook.py line 689 2389709] bag : 0.1347 0.1670 [2025-03-11 04:53:59,664 INFO hook.py line 689 2389709] backpack : 0.5830 0.6486 [2025-03-11 04:53:59,664 INFO hook.py line 689 2389709] toilet paper : 0.4731 0.5833 [2025-03-11 04:53:59,664 INFO hook.py line 689 2389709] printer : 0.4902 0.5813 [2025-03-11 04:53:59,664 INFO hook.py line 689 2389709] tv stand : 0.7108 0.9196 [2025-03-11 04:53:59,664 INFO hook.py line 689 2389709] whiteboard : 0.4931 0.6919 [2025-03-11 04:53:59,664 INFO hook.py line 689 2389709] blanket : 0.0518 0.0791 [2025-03-11 04:53:59,664 INFO hook.py line 689 2389709] shower curtain : 0.6668 0.7112 [2025-03-11 04:53:59,665 INFO hook.py line 689 2389709] trash can : 0.6270 0.8140 [2025-03-11 04:53:59,665 INFO hook.py line 689 2389709] closet : 0.1200 0.1507 [2025-03-11 04:53:59,665 INFO hook.py line 689 2389709] stairs : 0.4862 0.6625 [2025-03-11 04:53:59,665 INFO hook.py line 689 2389709] microwave : 0.4366 0.6082 [2025-03-11 04:53:59,665 INFO hook.py line 689 2389709] stove : 0.5828 0.7929 [2025-03-11 04:53:59,665 INFO hook.py line 689 2389709] shoe : 0.4822 0.6152 [2025-03-11 04:53:59,665 INFO hook.py line 689 2389709] computer tower : 0.5620 0.7469 [2025-03-11 04:53:59,665 INFO hook.py line 689 2389709] bottle : 0.0725 0.1386 [2025-03-11 04:53:59,665 INFO hook.py line 689 2389709] bin : 0.0153 0.0405 [2025-03-11 04:53:59,665 INFO hook.py line 689 2389709] ottoman : 0.3577 0.4282 [2025-03-11 04:53:59,665 INFO hook.py line 689 2389709] bench : 0.2000 0.2282 [2025-03-11 04:53:59,666 INFO hook.py line 689 2389709] board : 0.2016 0.3472 [2025-03-11 04:53:59,666 INFO hook.py line 689 2389709] washing machine: 0.7645 0.8707 [2025-03-11 04:53:59,666 INFO hook.py line 689 2389709] mirror : 0.3587 0.4410 [2025-03-11 04:53:59,666 INFO hook.py line 689 2389709] copier : 0.8149 0.8721 [2025-03-11 04:53:59,666 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 04:53:59,666 INFO hook.py line 689 2389709] sofa chair : 0.1371 0.1797 [2025-03-11 04:53:59,666 INFO hook.py line 689 2389709] file cabinet : 0.4510 0.4987 [2025-03-11 04:53:59,666 INFO hook.py line 689 2389709] fan : 0.3909 0.4193 [2025-03-11 04:53:59,666 INFO hook.py line 689 2389709] laptop : 0.5628 0.7822 [2025-03-11 04:53:59,666 INFO hook.py line 689 2389709] shower : 0.0880 0.0912 [2025-03-11 04:53:59,666 INFO hook.py line 689 2389709] paper : 0.0246 0.0340 [2025-03-11 04:53:59,667 INFO hook.py line 689 2389709] person : 0.3124 0.6939 [2025-03-11 04:53:59,667 INFO hook.py line 689 2389709] paper towel dispenser: 0.5358 0.8205 [2025-03-11 04:53:59,667 INFO hook.py line 689 2389709] oven : 0.0012 0.0012 [2025-03-11 04:53:59,667 INFO hook.py line 689 2389709] blinds : 0.0004 0.0004 [2025-03-11 04:53:59,667 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 04:53:59,667 INFO hook.py line 689 2389709] plate : 0.0853 0.1833 [2025-03-11 04:53:59,667 INFO hook.py line 689 2389709] blackboard : 0.6096 0.7193 [2025-03-11 04:53:59,667 INFO hook.py line 689 2389709] piano : 0.4769 0.8484 [2025-03-11 04:53:59,667 INFO hook.py line 689 2389709] suitcase : 0.6188 0.6951 [2025-03-11 04:53:59,667 INFO hook.py line 689 2389709] rail : 0.0326 0.0369 [2025-03-11 04:53:59,667 INFO hook.py line 689 2389709] radiator : 0.5784 0.6856 [2025-03-11 04:53:59,668 INFO hook.py line 689 2389709] recycling bin : 0.4139 0.6405 [2025-03-11 04:53:59,668 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 04:53:59,668 INFO hook.py line 689 2389709] wardrobe : 0.1878 0.2279 [2025-03-11 04:53:59,668 INFO hook.py line 689 2389709] soap dispenser : 0.6970 0.9186 [2025-03-11 04:53:59,668 INFO hook.py line 689 2389709] telephone : 0.3206 0.5872 [2025-03-11 04:53:59,668 INFO hook.py line 689 2389709] bucket : 0.2521 0.5649 [2025-03-11 04:53:59,668 INFO hook.py line 689 2389709] clock : 0.3112 0.3638 [2025-03-11 04:53:59,668 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 04:53:59,668 INFO hook.py line 689 2389709] light : 0.0064 0.0072 [2025-03-11 04:53:59,668 INFO hook.py line 689 2389709] laundry basket : 0.0857 0.1053 [2025-03-11 04:53:59,668 INFO hook.py line 689 2389709] pipe : 0.0397 0.0523 [2025-03-11 04:53:59,669 INFO hook.py line 689 2389709] clothes dryer : 0.2839 0.2855 [2025-03-11 04:53:59,669 INFO hook.py line 689 2389709] guitar : 0.6800 0.7068 [2025-03-11 04:53:59,669 INFO hook.py line 689 2389709] toilet paper holder: 0.0025 0.0098 [2025-03-11 04:53:59,669 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 04:53:59,669 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 04:53:59,669 INFO hook.py line 689 2389709] column : 0.0663 0.0685 [2025-03-11 04:53:59,669 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 04:53:59,669 INFO hook.py line 689 2389709] ladder : 0.5161 0.5244 [2025-03-11 04:53:59,669 INFO hook.py line 689 2389709] bathroom stall : 0.5309 0.6826 [2025-03-11 04:53:59,669 INFO hook.py line 689 2389709] shower wall : 0.4909 0.6568 [2025-03-11 04:53:59,669 INFO hook.py line 689 2389709] cup : 0.2313 0.3901 [2025-03-11 04:53:59,669 INFO hook.py line 689 2389709] jacket : 0.1718 0.2385 [2025-03-11 04:53:59,670 INFO hook.py line 689 2389709] storage bin : 0.0405 0.0561 [2025-03-11 04:53:59,670 INFO hook.py line 689 2389709] coffee maker : 0.6842 0.9935 [2025-03-11 04:53:59,670 INFO hook.py line 689 2389709] dishwasher : 0.2143 0.3771 [2025-03-11 04:53:59,670 INFO hook.py line 689 2389709] paper towel roll: 0.2138 0.2469 [2025-03-11 04:53:59,670 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 04:53:59,670 INFO hook.py line 689 2389709] mat : 0.1503 0.1563 [2025-03-11 04:53:59,670 INFO hook.py line 689 2389709] windowsill : 0.2730 0.3195 [2025-03-11 04:53:59,670 INFO hook.py line 689 2389709] bar : 0.0947 0.2744 [2025-03-11 04:53:59,670 INFO hook.py line 689 2389709] toaster : 0.2819 0.5360 [2025-03-11 04:53:59,670 INFO hook.py line 689 2389709] bulletin board : 0.2358 0.4159 [2025-03-11 04:53:59,670 INFO hook.py line 689 2389709] ironing board : 0.0949 0.1277 [2025-03-11 04:53:59,671 INFO hook.py line 689 2389709] fireplace : 0.5315 0.6239 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] soap dish : 0.3726 0.5144 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] kitchen counter: 0.5477 0.7222 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] doorframe : 0.4076 0.7134 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] toilet paper dispenser: 0.5311 0.7301 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] mini fridge : 0.2567 0.2780 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] fire extinguisher: 0.2175 0.3291 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] ball : 0.5609 0.6276 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] shower curtain rod: 0.4062 0.8861 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] water cooler : 0.5706 0.6105 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] paper cutter : 0.3301 0.3992 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] tray : 0.0374 0.0561 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] shower door : 0.1589 0.1632 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] ledge : 0.0973 0.1288 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] toaster oven : 0.0380 0.0384 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] mouse : 0.0644 0.5247 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6166 0.8450 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] cart : 0.1551 0.1671 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] scale : 0.2922 0.9579 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] tissue box : 0.1992 0.3063 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] light switch : 0.0340 0.1311 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] power outlet : 0.1646 0.2700 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] decoration : 0.1381 0.2099 [2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] sign : 0.0014 0.0021 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] projector : 0.0556 0.5969 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] closet door : 0.0972 0.1069 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] vacuum cleaner : 0.7216 0.8011 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] plunger : 0.4472 0.9542 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] headphones : 0.0032 0.0035 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] dish rack : 0.6411 0.9242 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] broom : 0.0900 0.1238 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] range hood : 0.7423 0.9268 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] dustpan : 0.0650 0.1019 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] water bottle : 0.0101 0.0216 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] handicap bar : 0.0521 0.8216 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] shower floor : 0.0000 0.0000 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] mailbox : 0.5103 0.5312 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] bowl : 0.2830 0.3189 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] paper bag : 0.0654 0.1053 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] projector screen: 0.0054 0.0059 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] divider : 0.4594 0.5047 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] bathroom counter: 0.2502 0.5177 [2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] object : 0.0393 0.0775 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] bathroom vanity: 0.4776 0.7332 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] closet wall : 0.0209 0.0296 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] laundry hamper : 0.0000 0.0000 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] bathroom stall door: 0.5307 0.6160 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] ceiling light : 0.2932 0.3314 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] trash bin : 0.2882 0.3814 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] dumbbell : 0.7591 0.9781 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] stair rail : 0.1063 0.1220 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] tube : 0.0897 0.1147 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] bathroom cabinet: 0.4515 0.6357 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] closet rod : 0.6658 0.7862 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] coffee kettle : 0.3052 0.8176 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] shower head : 0.3161 0.3537 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] keyboard piano : 0.0357 0.0399 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] coat rack : 0.0014 0.0024 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] folded chair : 0.0007 0.0010 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] fire alarm : 0.0101 0.0476 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] potted plant : 0.0238 0.0342 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] mattress : 0.0110 0.0110 [2025-03-11 04:53:59,674 INFO hook.py line 690 2389709] ######################################## [2025-03-11 04:53:59,674 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3016/0.4020/0.8127. [2025-03-11 04:53:59,675 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 04:53:59,677 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3125 [2025-03-11 04:53:59,677 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 04:54:29,912 INFO hook.py line 566 2389709] Train: [66/100][50/300] Data 0.002 (0.002) Batch 0.428 (0.490) Remain 01:25:17 loss: 0.7138 Lr: 1.48502e-03 [2025-03-11 04:54:54,124 INFO hook.py line 566 2389709] Train: [66/100][100/300] Data 0.002 (0.002) Batch 0.490 (0.487) Remain 01:24:23 loss: 0.6078 Lr: 1.47245e-03 [2025-03-11 04:55:18,475 INFO hook.py line 566 2389709] Train: [66/100][150/300] Data 0.002 (0.002) Batch 0.555 (0.487) Remain 01:23:59 loss: 0.6157 Lr: 1.45990e-03 [2025-03-11 04:55:43,327 INFO hook.py line 566 2389709] Train: [66/100][200/300] Data 0.003 (0.002) Batch 0.519 (0.489) Remain 01:24:01 loss: 0.6116 Lr: 1.44739e-03 [2025-03-11 04:56:08,123 INFO hook.py line 566 2389709] Train: [66/100][250/300] Data 0.005 (0.002) Batch 0.502 (0.491) Remain 01:23:50 loss: 0.5223 Lr: 1.43491e-03 [2025-03-11 04:56:32,206 INFO hook.py line 566 2389709] Train: [66/100][300/300] Data 0.001 (0.002) Batch 0.477 (0.489) Remain 01:23:10 loss: 0.7343 Lr: 1.42246e-03 [2025-03-11 04:56:32,207 INFO misc.py line 135 2389709] Train result: loss: 0.5696 [2025-03-11 04:56:32,300 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 04:57:22,068 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4753 [2025-03-11 04:57:22,177 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3290 [2025-03-11 04:57:22,214 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4614 [2025-03-11 04:57:22,265 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4876 [2025-03-11 04:57:22,313 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8056 [2025-03-11 04:57:22,376 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.9707 [2025-03-11 04:57:22,428 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.6381 [2025-03-11 04:57:22,465 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4713 [2025-03-11 04:57:22,514 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1589 [2025-03-11 04:57:22,550 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1947 [2025-03-11 04:57:22,607 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1144 [2025-03-11 04:57:22,641 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.4151 [2025-03-11 04:57:22,693 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.1594 [2025-03-11 04:57:22,730 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4389 [2025-03-11 04:57:22,770 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.9297 [2025-03-11 04:57:22,816 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0840 [2025-03-11 04:57:22,859 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5682 [2025-03-11 04:57:22,898 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8322 [2025-03-11 04:57:22,945 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5407 [2025-03-11 04:57:22,990 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5187 [2025-03-11 04:57:23,031 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7670 [2025-03-11 04:57:23,075 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6404 [2025-03-11 04:57:23,115 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.6485 [2025-03-11 04:57:23,167 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9634 [2025-03-11 04:57:23,221 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4866 [2025-03-11 04:57:23,263 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2181 [2025-03-11 04:57:23,318 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9319 [2025-03-11 04:57:23,354 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6163 [2025-03-11 04:57:23,385 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1663 [2025-03-11 04:57:23,448 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.0082 [2025-03-11 04:57:23,506 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4893 [2025-03-11 04:57:23,553 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2640 [2025-03-11 04:57:23,615 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8878 [2025-03-11 04:57:23,654 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3759 [2025-03-11 04:57:23,695 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1371 [2025-03-11 04:57:23,735 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5368 [2025-03-11 04:57:23,774 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.2291 [2025-03-11 04:57:23,805 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8602 [2025-03-11 04:57:23,871 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.8351 [2025-03-11 04:57:23,921 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3780 [2025-03-11 04:57:23,972 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3724 [2025-03-11 04:57:24,004 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4334 [2025-03-11 04:57:24,043 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.8251 [2025-03-11 04:57:24,104 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9409 [2025-03-11 04:57:24,139 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7141 [2025-03-11 04:57:24,198 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1190 [2025-03-11 04:57:24,239 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7910 [2025-03-11 04:57:24,277 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1494 [2025-03-11 04:57:24,312 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.5894 [2025-03-11 04:57:24,345 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.0093 [2025-03-11 04:57:24,376 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0366 [2025-03-11 04:57:24,416 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5496 [2025-03-11 04:57:24,443 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2416 [2025-03-11 04:57:24,482 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.5101 [2025-03-11 04:57:24,521 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4933 [2025-03-11 04:57:24,566 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9834 [2025-03-11 04:57:24,604 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.2323 [2025-03-11 04:57:24,632 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9511 [2025-03-11 04:57:24,673 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8256 [2025-03-11 04:57:24,710 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4722 [2025-03-11 04:57:24,737 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7072 [2025-03-11 04:57:24,772 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9860 [2025-03-11 04:57:24,813 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.3615 [2025-03-11 04:57:24,874 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8242 [2025-03-11 04:57:24,901 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.0906 [2025-03-11 04:57:24,945 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.2936 [2025-03-11 04:57:24,988 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9695 [2025-03-11 04:57:25,025 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.3981 [2025-03-11 04:57:25,056 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4583 [2025-03-11 04:57:25,116 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0153 [2025-03-11 04:57:25,163 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7445 [2025-03-11 04:57:25,218 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7290 [2025-03-11 04:57:25,270 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6129 [2025-03-11 04:57:25,314 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.4587 [2025-03-11 04:57:25,365 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5031 [2025-03-11 04:57:25,393 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9735 [2025-03-11 04:57:25,453 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.8342 [2025-03-11 04:57:25,483 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.8794 [2025-03-11 04:57:26,718 INFO hook.py line 674 2389709] ######################################## [2025-03-11 04:57:26,718 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 04:57:26,718 INFO hook.py line 680 2389709] ######################################## [2025-03-11 04:57:26,718 INFO hook.py line 689 2389709] wall : 0.7945 0.9193 [2025-03-11 04:57:26,718 INFO hook.py line 689 2389709] chair : 0.6886 0.7761 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] floor : 0.9581 0.9824 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] table : 0.6404 0.7597 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] door : 0.6715 0.8229 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] couch : 0.8005 0.8705 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] cabinet : 0.3654 0.5281 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] shelf : 0.3586 0.4755 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] desk : 0.5609 0.8170 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] office chair : 0.3112 0.6913 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] bed : 0.7687 0.8569 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] pillow : 0.5530 0.7899 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] sink : 0.6654 0.7691 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] picture : 0.3536 0.5562 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] window : 0.5691 0.7885 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] toilet : 0.9234 0.9430 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] bookshelf : 0.4703 0.7012 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] monitor : 0.8264 0.8810 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] curtain : 0.7455 0.8319 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] book : 0.4364 0.7056 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] armchair : 0.5645 0.7773 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] coffee table : 0.6147 0.7030 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] box : 0.2954 0.4148 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] refrigerator : 0.6031 0.7397 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] lamp : 0.6944 0.8068 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] kitchen cabinet: 0.5850 0.6348 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] towel : 0.5272 0.6888 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] clothes : 0.2134 0.4639 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] tv : 0.8619 0.9170 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] nightstand : 0.6697 0.8583 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] counter : 0.2503 0.4802 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] dresser : 0.3599 0.4289 [2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] stool : 0.5465 0.7856 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] plant : 0.7657 0.9137 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] ceiling : 0.9263 0.9553 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] bathtub : 0.8672 0.9048 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] end table : 0.2819 0.4281 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] keyboard : 0.4092 0.4844 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] bag : 0.1324 0.2075 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] backpack : 0.5787 0.6881 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] toilet paper : 0.4296 0.4879 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] printer : 0.3356 0.5584 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] tv stand : 0.6258 0.8242 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] whiteboard : 0.5068 0.6858 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] blanket : 0.0095 0.0137 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] shower curtain : 0.7278 0.8294 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] trash can : 0.5413 0.8207 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] closet : 0.1214 0.1517 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] stairs : 0.4291 0.6673 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] microwave : 0.6163 0.7455 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] stove : 0.6081 0.8161 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] shoe : 0.4387 0.7708 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] computer tower : 0.6267 0.8197 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] bottle : 0.1372 0.2919 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] ottoman : 0.4034 0.4358 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] bench : 0.2712 0.2883 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] board : 0.2074 0.2798 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] washing machine: 0.8257 0.9101 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] mirror : 0.3488 0.4733 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] copier : 0.8286 0.9304 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] sofa chair : 0.2102 0.3144 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] file cabinet : 0.4568 0.7090 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] fan : 0.3997 0.5154 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] laptop : 0.4602 0.6385 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] shower : 0.3299 0.3975 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] paper : 0.0367 0.0492 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] person : 0.3087 0.5262 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] paper towel dispenser: 0.5371 0.7975 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] oven : 0.0668 0.0799 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] blinds : 0.0177 0.0183 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] plate : 0.1100 0.2119 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] blackboard : 0.5925 0.6688 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] piano : 0.5782 0.8093 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] suitcase : 0.5841 0.6275 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] rail : 0.0501 0.0551 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] radiator : 0.6543 0.7323 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] recycling bin : 0.4188 0.7027 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] wardrobe : 0.1704 0.1841 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] soap dispenser : 0.8457 0.9125 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] telephone : 0.3589 0.4573 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] bucket : 0.3309 0.5462 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] clock : 0.1973 0.2163 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] light : 0.0123 0.0129 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] laundry basket : 0.0111 0.0112 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] pipe : 0.0816 0.1444 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] clothes dryer : 0.6062 0.6215 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] guitar : 0.7246 0.7426 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] toilet paper holder: 0.0536 0.1587 [2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] column : 0.0494 0.0517 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] ladder : 0.5561 0.6298 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] bathroom stall : 0.4882 0.5589 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] shower wall : 0.4319 0.4962 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] cup : 0.1602 0.5154 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] jacket : 0.2200 0.3124 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] storage bin : 0.0045 0.0053 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] coffee maker : 0.5915 0.9923 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] dishwasher : 0.3573 0.5959 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] paper towel roll: 0.3057 0.3918 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] mat : 0.2816 0.3111 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] windowsill : 0.1676 0.1824 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] bar : 0.1176 0.1878 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] toaster : 0.1935 0.2552 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] bulletin board : 0.2011 0.3177 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] ironing board : 0.1398 0.1647 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] fireplace : 0.5886 0.6186 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] soap dish : 0.3536 0.4764 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] kitchen counter: 0.4778 0.6318 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] doorframe : 0.4157 0.6536 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4257 0.6258 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] mini fridge : 0.2466 0.2841 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] fire extinguisher: 0.1465 0.2571 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] ball : 0.6259 0.6281 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] shower curtain rod: 0.3061 0.8859 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] water cooler : 0.6027 0.8715 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] paper cutter : 0.2765 0.3331 [2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] tray : 0.0351 0.0648 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] shower door : 0.1408 0.2063 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] ledge : 0.0342 0.0465 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] mouse : 0.2254 0.3467 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7756 0.8219 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] cart : 0.1161 0.1200 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] scale : 0.2762 0.9031 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] tissue box : 0.1477 0.2032 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] light switch : 0.0793 0.1963 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] power outlet : 0.1317 0.1762 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] decoration : 0.3608 0.6612 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] sign : 0.0080 0.0086 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] projector : 0.1683 0.6111 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] closet door : 0.0596 0.0667 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] vacuum cleaner : 0.9361 0.9740 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] plunger : 0.4625 0.9587 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] headphones : 0.0008 0.0017 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] dish rack : 0.7498 0.9021 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] broom : 0.1009 0.1127 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] range hood : 0.5992 0.6845 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] dustpan : 0.0593 0.1515 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] hair dryer : 0.0119 0.0179 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] water bottle : 0.0617 0.0972 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] handicap bar : 0.0596 0.9193 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] shower floor : 0.0000 0.0000 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] mailbox : 0.3817 0.3930 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] bowl : 0.1825 0.2980 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] paper bag : 0.0717 0.1539 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] projector screen: 0.0014 0.0014 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] divider : 0.4651 0.5468 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] bathroom counter: 0.1764 0.2715 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] object : 0.0401 0.0742 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] bathroom vanity: 0.4646 0.8466 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] closet wall : 0.1176 0.1636 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] laundry hamper : 0.0083 0.0086 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] bathroom stall door: 0.4729 0.6798 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] ceiling light : 0.3553 0.4632 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] trash bin : 0.2916 0.4258 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] dumbbell : 0.8489 0.9626 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] stair rail : 0.0983 0.1104 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] tube : 0.0495 0.0971 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] bathroom cabinet: 0.1240 0.2284 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] closet rod : 0.5009 0.8742 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] coffee kettle : 0.3296 0.4124 [2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] shower head : 0.3095 0.3535 [2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 [2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] coat rack : 0.0069 0.0310 [2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] calendar : 0.0014 0.0028 [2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] mattress : 0.0115 0.0115 [2025-03-11 04:57:26,725 INFO hook.py line 690 2389709] ######################################## [2025-03-11 04:57:26,725 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3055/0.4065/0.8168. [2025-03-11 04:57:26,725 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 04:57:26,743 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3125 [2025-03-11 04:57:26,743 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 04:57:57,465 INFO hook.py line 566 2389709] Train: [67/100][50/300] Data 0.002 (0.002) Batch 0.549 (0.493) Remain 01:23:27 loss: 0.8489 Lr: 1.41005e-03 [2025-03-11 04:58:21,810 INFO hook.py line 566 2389709] Train: [67/100][100/300] Data 0.003 (0.002) Batch 0.415 (0.490) Remain 01:22:29 loss: 0.5165 Lr: 1.39767e-03 [2025-03-11 04:58:46,414 INFO hook.py line 566 2389709] Train: [67/100][150/300] Data 0.002 (0.002) Batch 0.459 (0.491) Remain 01:22:11 loss: 0.8064 Lr: 1.38532e-03 [2025-03-11 04:59:11,192 INFO hook.py line 566 2389709] Train: [67/100][200/300] Data 0.003 (0.002) Batch 0.518 (0.492) Remain 01:21:59 loss: 0.5884 Lr: 1.37300e-03 [2025-03-11 04:59:35,724 INFO hook.py line 566 2389709] Train: [67/100][250/300] Data 0.002 (0.002) Batch 0.517 (0.492) Remain 01:21:32 loss: 0.6064 Lr: 1.36072e-03 [2025-03-11 04:59:59,571 INFO hook.py line 566 2389709] Train: [67/100][300/300] Data 0.002 (0.002) Batch 0.434 (0.489) Remain 01:20:43 loss: 0.4850 Lr: 1.34848e-03 [2025-03-11 04:59:59,572 INFO misc.py line 135 2389709] Train result: loss: 0.5641 [2025-03-11 04:59:59,669 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 05:00:48,258 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5475 [2025-03-11 05:00:48,305 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.1391 [2025-03-11 05:00:48,340 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6043 [2025-03-11 05:00:48,392 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4880 [2025-03-11 05:00:48,431 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.7384 [2025-03-11 05:00:48,488 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.6182 [2025-03-11 05:00:48,540 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8898 [2025-03-11 05:00:48,570 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2640 [2025-03-11 05:00:48,620 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1939 [2025-03-11 05:00:48,660 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2609 [2025-03-11 05:00:48,709 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.0898 [2025-03-11 05:00:48,746 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.8897 [2025-03-11 05:00:48,795 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.4427 [2025-03-11 05:00:48,837 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.3157 [2025-03-11 05:00:48,872 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1851 [2025-03-11 05:00:48,918 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0850 [2025-03-11 05:00:48,957 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4109 [2025-03-11 05:00:48,997 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.7750 [2025-03-11 05:00:49,050 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.7076 [2025-03-11 05:00:49,088 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.3798 [2025-03-11 05:00:49,123 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6959 [2025-03-11 05:00:49,165 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8634 [2025-03-11 05:00:49,197 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.2427 [2025-03-11 05:00:49,251 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.6675 [2025-03-11 05:00:49,293 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.2386 [2025-03-11 05:00:49,343 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1480 [2025-03-11 05:00:49,399 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0766 [2025-03-11 05:00:49,440 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8995 [2025-03-11 05:00:49,488 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0605 [2025-03-11 05:00:49,544 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.4077 [2025-03-11 05:00:49,608 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.3195 [2025-03-11 05:00:49,650 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1248 [2025-03-11 05:00:49,707 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.9680 [2025-03-11 05:00:49,750 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.1114 [2025-03-11 05:00:49,790 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3139 [2025-03-11 05:00:49,829 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4794 [2025-03-11 05:00:49,872 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.3505 [2025-03-11 05:00:49,906 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8416 [2025-03-11 05:00:49,976 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.8522 [2025-03-11 05:00:50,023 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5651 [2025-03-11 05:00:50,071 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.5650 [2025-03-11 05:00:50,100 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4628 [2025-03-11 05:00:50,152 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.8135 [2025-03-11 05:00:50,226 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8978 [2025-03-11 05:00:50,261 INFO hook.py line 748 2389709] Test: [45/78] Loss 2.0649 [2025-03-11 05:00:50,309 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1102 [2025-03-11 05:00:50,351 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9157 [2025-03-11 05:00:50,388 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0152 [2025-03-11 05:00:50,420 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4616 [2025-03-11 05:00:50,453 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8527 [2025-03-11 05:00:50,487 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2948 [2025-03-11 05:00:50,524 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7028 [2025-03-11 05:00:50,556 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3758 [2025-03-11 05:00:50,592 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.0214 [2025-03-11 05:00:50,629 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3480 [2025-03-11 05:00:50,670 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8878 [2025-03-11 05:00:50,703 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.0717 [2025-03-11 05:00:50,729 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9950 [2025-03-11 05:00:50,771 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8957 [2025-03-11 05:00:50,812 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6886 [2025-03-11 05:00:50,842 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.0734 [2025-03-11 05:00:50,882 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9163 [2025-03-11 05:00:50,918 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.7363 [2025-03-11 05:00:50,975 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.3323 [2025-03-11 05:00:51,008 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1985 [2025-03-11 05:00:51,051 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.9871 [2025-03-11 05:00:51,090 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0336 [2025-03-11 05:00:51,131 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0582 [2025-03-11 05:00:51,164 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3528 [2025-03-11 05:00:51,225 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.9787 [2025-03-11 05:00:51,269 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.9646 [2025-03-11 05:00:51,326 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5820 [2025-03-11 05:00:51,384 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6261 [2025-03-11 05:00:51,427 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.6481 [2025-03-11 05:00:51,479 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5854 [2025-03-11 05:00:51,508 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.3786 [2025-03-11 05:00:51,570 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5953 [2025-03-11 05:00:51,597 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9349 [2025-03-11 05:00:52,815 INFO hook.py line 674 2389709] ######################################## [2025-03-11 05:00:52,815 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 05:00:52,816 INFO hook.py line 680 2389709] ######################################## [2025-03-11 05:00:52,816 INFO hook.py line 689 2389709] wall : 0.7919 0.9239 [2025-03-11 05:00:52,816 INFO hook.py line 689 2389709] chair : 0.7084 0.8231 [2025-03-11 05:00:52,816 INFO hook.py line 689 2389709] floor : 0.9588 0.9826 [2025-03-11 05:00:52,816 INFO hook.py line 689 2389709] table : 0.6203 0.7718 [2025-03-11 05:00:52,816 INFO hook.py line 689 2389709] door : 0.6411 0.7450 [2025-03-11 05:00:52,816 INFO hook.py line 689 2389709] couch : 0.7747 0.9129 [2025-03-11 05:00:52,816 INFO hook.py line 689 2389709] cabinet : 0.3470 0.5149 [2025-03-11 05:00:52,816 INFO hook.py line 689 2389709] shelf : 0.4124 0.5772 [2025-03-11 05:00:52,816 INFO hook.py line 689 2389709] desk : 0.5553 0.7779 [2025-03-11 05:00:52,817 INFO hook.py line 689 2389709] office chair : 0.2550 0.4545 [2025-03-11 05:00:52,817 INFO hook.py line 689 2389709] bed : 0.7564 0.8750 [2025-03-11 05:00:52,817 INFO hook.py line 689 2389709] pillow : 0.5677 0.7568 [2025-03-11 05:00:52,817 INFO hook.py line 689 2389709] sink : 0.6612 0.7661 [2025-03-11 05:00:52,817 INFO hook.py line 689 2389709] picture : 0.3766 0.5159 [2025-03-11 05:00:52,817 INFO hook.py line 689 2389709] window : 0.5719 0.7869 [2025-03-11 05:00:52,817 INFO hook.py line 689 2389709] toilet : 0.9351 0.9506 [2025-03-11 05:00:52,817 INFO hook.py line 689 2389709] bookshelf : 0.4703 0.6474 [2025-03-11 05:00:52,817 INFO hook.py line 689 2389709] monitor : 0.8225 0.8667 [2025-03-11 05:00:52,817 INFO hook.py line 689 2389709] curtain : 0.6947 0.8403 [2025-03-11 05:00:52,818 INFO hook.py line 689 2389709] book : 0.4462 0.6500 [2025-03-11 05:00:52,818 INFO hook.py line 689 2389709] armchair : 0.5884 0.8096 [2025-03-11 05:00:52,818 INFO hook.py line 689 2389709] coffee table : 0.7014 0.8167 [2025-03-11 05:00:52,818 INFO hook.py line 689 2389709] box : 0.3119 0.4208 [2025-03-11 05:00:52,818 INFO hook.py line 689 2389709] refrigerator : 0.6232 0.6477 [2025-03-11 05:00:52,818 INFO hook.py line 689 2389709] lamp : 0.6956 0.7826 [2025-03-11 05:00:52,818 INFO hook.py line 689 2389709] kitchen cabinet: 0.6722 0.7747 [2025-03-11 05:00:52,818 INFO hook.py line 689 2389709] towel : 0.5152 0.6853 [2025-03-11 05:00:52,818 INFO hook.py line 689 2389709] clothes : 0.2029 0.3917 [2025-03-11 05:00:52,818 INFO hook.py line 689 2389709] tv : 0.8258 0.8603 [2025-03-11 05:00:52,818 INFO hook.py line 689 2389709] nightstand : 0.6391 0.8756 [2025-03-11 05:00:52,819 INFO hook.py line 689 2389709] counter : 0.2908 0.4955 [2025-03-11 05:00:52,819 INFO hook.py line 689 2389709] dresser : 0.3550 0.4811 [2025-03-11 05:00:52,819 INFO hook.py line 689 2389709] stool : 0.4912 0.5792 [2025-03-11 05:00:52,819 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 05:00:52,819 INFO hook.py line 689 2389709] plant : 0.7251 0.8236 [2025-03-11 05:00:52,819 INFO hook.py line 689 2389709] ceiling : 0.9297 0.9670 [2025-03-11 05:00:52,819 INFO hook.py line 689 2389709] bathtub : 0.8753 0.8992 [2025-03-11 05:00:52,819 INFO hook.py line 689 2389709] end table : 0.2543 0.3799 [2025-03-11 05:00:52,819 INFO hook.py line 689 2389709] dining table : 0.0096 0.0114 [2025-03-11 05:00:52,819 INFO hook.py line 689 2389709] keyboard : 0.3959 0.4706 [2025-03-11 05:00:52,819 INFO hook.py line 689 2389709] bag : 0.2220 0.3408 [2025-03-11 05:00:52,820 INFO hook.py line 689 2389709] backpack : 0.5956 0.6571 [2025-03-11 05:00:52,820 INFO hook.py line 689 2389709] toilet paper : 0.4996 0.5788 [2025-03-11 05:00:52,820 INFO hook.py line 689 2389709] printer : 0.4533 0.5912 [2025-03-11 05:00:52,820 INFO hook.py line 689 2389709] tv stand : 0.5797 0.9038 [2025-03-11 05:00:52,820 INFO hook.py line 689 2389709] whiteboard : 0.4931 0.5979 [2025-03-11 05:00:52,820 INFO hook.py line 689 2389709] blanket : 0.0174 0.0286 [2025-03-11 05:00:52,820 INFO hook.py line 689 2389709] shower curtain : 0.7123 0.8249 [2025-03-11 05:00:52,820 INFO hook.py line 689 2389709] trash can : 0.5893 0.7009 [2025-03-11 05:00:52,820 INFO hook.py line 689 2389709] closet : 0.1196 0.1418 [2025-03-11 05:00:52,820 INFO hook.py line 689 2389709] stairs : 0.5927 0.6863 [2025-03-11 05:00:52,820 INFO hook.py line 689 2389709] microwave : 0.5492 0.7494 [2025-03-11 05:00:52,821 INFO hook.py line 689 2389709] stove : 0.6506 0.8739 [2025-03-11 05:00:52,821 INFO hook.py line 689 2389709] shoe : 0.4518 0.6159 [2025-03-11 05:00:52,821 INFO hook.py line 689 2389709] computer tower : 0.4780 0.8717 [2025-03-11 05:00:52,821 INFO hook.py line 689 2389709] bottle : 0.1057 0.2515 [2025-03-11 05:00:52,821 INFO hook.py line 689 2389709] bin : 0.0338 0.0707 [2025-03-11 05:00:52,821 INFO hook.py line 689 2389709] ottoman : 0.2925 0.3181 [2025-03-11 05:00:52,821 INFO hook.py line 689 2389709] bench : 0.2368 0.2646 [2025-03-11 05:00:52,821 INFO hook.py line 689 2389709] board : 0.2099 0.3186 [2025-03-11 05:00:52,821 INFO hook.py line 689 2389709] washing machine: 0.7657 0.9696 [2025-03-11 05:00:52,821 INFO hook.py line 689 2389709] mirror : 0.3692 0.5314 [2025-03-11 05:00:52,821 INFO hook.py line 689 2389709] copier : 0.8621 0.9494 [2025-03-11 05:00:52,822 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 05:00:52,822 INFO hook.py line 689 2389709] sofa chair : 0.1311 0.1602 [2025-03-11 05:00:52,822 INFO hook.py line 689 2389709] file cabinet : 0.4084 0.4999 [2025-03-11 05:00:52,822 INFO hook.py line 689 2389709] fan : 0.4402 0.4881 [2025-03-11 05:00:52,822 INFO hook.py line 689 2389709] laptop : 0.5573 0.6861 [2025-03-11 05:00:52,822 INFO hook.py line 689 2389709] shower : 0.3524 0.3965 [2025-03-11 05:00:52,822 INFO hook.py line 689 2389709] paper : 0.0308 0.0454 [2025-03-11 05:00:52,822 INFO hook.py line 689 2389709] person : 0.3037 0.5388 [2025-03-11 05:00:52,822 INFO hook.py line 689 2389709] paper towel dispenser: 0.5493 0.7920 [2025-03-11 05:00:52,822 INFO hook.py line 689 2389709] oven : 0.1170 0.1503 [2025-03-11 05:00:52,822 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 05:00:52,823 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 05:00:52,823 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 05:00:52,823 INFO hook.py line 689 2389709] blackboard : 0.5815 0.7119 [2025-03-11 05:00:52,823 INFO hook.py line 689 2389709] piano : 0.5776 0.8053 [2025-03-11 05:00:52,823 INFO hook.py line 689 2389709] suitcase : 0.5729 0.6465 [2025-03-11 05:00:52,823 INFO hook.py line 689 2389709] rail : 0.0374 0.0514 [2025-03-11 05:00:52,823 INFO hook.py line 689 2389709] radiator : 0.6101 0.6873 [2025-03-11 05:00:52,823 INFO hook.py line 689 2389709] recycling bin : 0.4516 0.6748 [2025-03-11 05:00:52,823 INFO hook.py line 689 2389709] container : 0.0114 0.0302 [2025-03-11 05:00:52,823 INFO hook.py line 689 2389709] wardrobe : 0.2178 0.3156 [2025-03-11 05:00:52,823 INFO hook.py line 689 2389709] soap dispenser : 0.8460 0.9171 [2025-03-11 05:00:52,824 INFO hook.py line 689 2389709] telephone : 0.2929 0.3689 [2025-03-11 05:00:52,824 INFO hook.py line 689 2389709] bucket : 0.3474 0.4448 [2025-03-11 05:00:52,824 INFO hook.py line 689 2389709] clock : 0.3026 0.3506 [2025-03-11 05:00:52,824 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 05:00:52,824 INFO hook.py line 689 2389709] light : 0.0214 0.0261 [2025-03-11 05:00:52,824 INFO hook.py line 689 2389709] laundry basket : 0.0072 0.0077 [2025-03-11 05:00:52,824 INFO hook.py line 689 2389709] pipe : 0.0548 0.0842 [2025-03-11 05:00:52,824 INFO hook.py line 689 2389709] clothes dryer : 0.4984 0.5033 [2025-03-11 05:00:52,824 INFO hook.py line 689 2389709] guitar : 0.5655 0.6024 [2025-03-11 05:00:52,824 INFO hook.py line 689 2389709] toilet paper holder: 0.0634 0.0883 [2025-03-11 05:00:52,824 INFO hook.py line 689 2389709] seat : 0.0002 0.0003 [2025-03-11 05:00:52,825 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 05:00:52,825 INFO hook.py line 689 2389709] column : 0.1498 0.1653 [2025-03-11 05:00:52,825 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 05:00:52,825 INFO hook.py line 689 2389709] ladder : 0.4082 0.6475 [2025-03-11 05:00:52,825 INFO hook.py line 689 2389709] bathroom stall : 0.5078 0.5939 [2025-03-11 05:00:52,825 INFO hook.py line 689 2389709] shower wall : 0.4242 0.5268 [2025-03-11 05:00:52,825 INFO hook.py line 689 2389709] cup : 0.2378 0.3673 [2025-03-11 05:00:52,825 INFO hook.py line 689 2389709] jacket : 0.2019 0.2720 [2025-03-11 05:00:52,825 INFO hook.py line 689 2389709] storage bin : 0.0487 0.0671 [2025-03-11 05:00:52,825 INFO hook.py line 689 2389709] coffee maker : 0.6118 0.9654 [2025-03-11 05:00:52,825 INFO hook.py line 689 2389709] dishwasher : 0.3902 0.5583 [2025-03-11 05:00:52,826 INFO hook.py line 689 2389709] paper towel roll: 0.2702 0.3120 [2025-03-11 05:00:52,826 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 05:00:52,826 INFO hook.py line 689 2389709] mat : 0.2137 0.2231 [2025-03-11 05:00:52,826 INFO hook.py line 689 2389709] windowsill : 0.2337 0.2969 [2025-03-11 05:00:52,826 INFO hook.py line 689 2389709] bar : 0.0772 0.2318 [2025-03-11 05:00:52,826 INFO hook.py line 689 2389709] toaster : 0.2200 0.3133 [2025-03-11 05:00:52,826 INFO hook.py line 689 2389709] bulletin board : 0.2838 0.4710 [2025-03-11 05:00:52,826 INFO hook.py line 689 2389709] ironing board : 0.2234 0.2359 [2025-03-11 05:00:52,826 INFO hook.py line 689 2389709] fireplace : 0.5795 0.6395 [2025-03-11 05:00:52,826 INFO hook.py line 689 2389709] soap dish : 0.3618 0.4939 [2025-03-11 05:00:52,826 INFO hook.py line 689 2389709] kitchen counter: 0.5413 0.6255 [2025-03-11 05:00:52,827 INFO hook.py line 689 2389709] doorframe : 0.4079 0.5784 [2025-03-11 05:00:52,827 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4388 0.6344 [2025-03-11 05:00:52,827 INFO hook.py line 689 2389709] mini fridge : 0.2909 0.3062 [2025-03-11 05:00:52,827 INFO hook.py line 689 2389709] fire extinguisher: 0.1802 0.2637 [2025-03-11 05:00:52,827 INFO hook.py line 689 2389709] ball : 0.6716 0.9375 [2025-03-11 05:00:52,827 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 05:00:52,827 INFO hook.py line 689 2389709] shower curtain rod: 0.4184 0.9107 [2025-03-11 05:00:52,827 INFO hook.py line 689 2389709] water cooler : 0.0259 0.0259 [2025-03-11 05:00:52,827 INFO hook.py line 689 2389709] paper cutter : 0.3026 0.3703 [2025-03-11 05:00:52,827 INFO hook.py line 689 2389709] tray : 0.0626 0.1440 [2025-03-11 05:00:52,827 INFO hook.py line 689 2389709] shower door : 0.2543 0.3826 [2025-03-11 05:00:52,828 INFO hook.py line 689 2389709] pillar : 0.0047 0.0047 [2025-03-11 05:00:52,828 INFO hook.py line 689 2389709] ledge : 0.0640 0.0825 [2025-03-11 05:00:52,828 INFO hook.py line 689 2389709] toaster oven : 0.1650 0.1943 [2025-03-11 05:00:52,828 INFO hook.py line 689 2389709] mouse : 0.0918 0.1749 [2025-03-11 05:00:52,828 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7431 0.8093 [2025-03-11 05:00:52,828 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 05:00:52,828 INFO hook.py line 689 2389709] cart : 0.3172 0.4185 [2025-03-11 05:00:52,828 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 05:00:52,828 INFO hook.py line 689 2389709] scale : 0.3166 0.6187 [2025-03-11 05:00:52,828 INFO hook.py line 689 2389709] tissue box : 0.1865 0.2555 [2025-03-11 05:00:52,828 INFO hook.py line 689 2389709] light switch : 0.0344 0.1169 [2025-03-11 05:00:52,829 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 05:00:52,829 INFO hook.py line 689 2389709] power outlet : 0.1954 0.2757 [2025-03-11 05:00:52,829 INFO hook.py line 689 2389709] decoration : 0.3474 0.6252 [2025-03-11 05:00:52,829 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 05:00:52,829 INFO hook.py line 689 2389709] projector : 0.2352 0.9397 [2025-03-11 05:00:52,829 INFO hook.py line 689 2389709] closet door : 0.0570 0.0606 [2025-03-11 05:00:52,829 INFO hook.py line 689 2389709] vacuum cleaner : 0.7823 0.9637 [2025-03-11 05:00:52,829 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 05:00:52,829 INFO hook.py line 689 2389709] plunger : 0.5214 0.9776 [2025-03-11 05:00:52,829 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 05:00:52,829 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 05:00:52,830 INFO hook.py line 689 2389709] dish rack : 0.6792 0.9791 [2025-03-11 05:00:52,830 INFO hook.py line 689 2389709] broom : 0.0482 0.0739 [2025-03-11 05:00:52,830 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 05:00:52,830 INFO hook.py line 689 2389709] range hood : 0.7058 0.8206 [2025-03-11 05:00:52,830 INFO hook.py line 689 2389709] dustpan : 0.0709 0.2510 [2025-03-11 05:00:52,830 INFO hook.py line 689 2389709] hair dryer : 0.0025 0.0040 [2025-03-11 05:00:52,830 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 05:00:52,830 INFO hook.py line 689 2389709] handicap bar : 0.0005 0.0058 [2025-03-11 05:00:52,830 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 05:00:52,830 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 05:00:52,830 INFO hook.py line 689 2389709] shower floor : 0.8772 0.9839 [2025-03-11 05:00:52,830 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 05:00:52,831 INFO hook.py line 689 2389709] mailbox : 0.4638 0.4901 [2025-03-11 05:00:52,831 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 [2025-03-11 05:00:52,831 INFO hook.py line 689 2389709] paper bag : 0.0531 0.0629 [2025-03-11 05:00:52,831 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 05:00:52,831 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 05:00:52,831 INFO hook.py line 689 2389709] projector screen: 0.0001 0.0001 [2025-03-11 05:00:52,831 INFO hook.py line 689 2389709] divider : 0.4440 0.5116 [2025-03-11 05:00:52,831 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 05:00:52,831 INFO hook.py line 689 2389709] bathroom counter: 0.3267 0.4694 [2025-03-11 05:00:52,831 INFO hook.py line 689 2389709] object : 0.0434 0.0795 [2025-03-11 05:00:52,831 INFO hook.py line 689 2389709] bathroom vanity: 0.4227 0.8496 [2025-03-11 05:00:52,832 INFO hook.py line 689 2389709] closet wall : 0.0249 0.0343 [2025-03-11 05:00:52,832 INFO hook.py line 689 2389709] laundry hamper : 0.0001 0.0002 [2025-03-11 05:00:52,832 INFO hook.py line 689 2389709] bathroom stall door: 0.5777 0.6546 [2025-03-11 05:00:52,832 INFO hook.py line 689 2389709] ceiling light : 0.1549 0.1679 [2025-03-11 05:00:52,832 INFO hook.py line 689 2389709] trash bin : 0.2455 0.3645 [2025-03-11 05:00:52,832 INFO hook.py line 689 2389709] dumbbell : 0.6535 0.9813 [2025-03-11 05:00:52,832 INFO hook.py line 689 2389709] stair rail : 0.0410 0.0427 [2025-03-11 05:00:52,832 INFO hook.py line 689 2389709] tube : 0.1081 0.1417 [2025-03-11 05:00:52,832 INFO hook.py line 689 2389709] bathroom cabinet: 0.0676 0.1321 [2025-03-11 05:00:52,832 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 05:00:52,832 INFO hook.py line 689 2389709] closet rod : 0.3935 0.9066 [2025-03-11 05:00:52,833 INFO hook.py line 689 2389709] coffee kettle : 0.1094 0.1162 [2025-03-11 05:00:52,833 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 05:00:52,833 INFO hook.py line 689 2389709] shower head : 0.2926 0.3424 [2025-03-11 05:00:52,833 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 05:00:52,833 INFO hook.py line 689 2389709] case of water bottles: 0.0042 0.0043 [2025-03-11 05:00:52,833 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 05:00:52,833 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 05:00:52,833 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 05:00:52,833 INFO hook.py line 689 2389709] fire alarm : 0.0622 0.3333 [2025-03-11 05:00:52,833 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 05:00:52,833 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 05:00:52,834 INFO hook.py line 689 2389709] poster : 0.0011 0.0011 [2025-03-11 05:00:52,834 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 05:00:52,834 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 05:00:52,834 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 [2025-03-11 05:00:52,834 INFO hook.py line 690 2389709] ######################################## [2025-03-11 05:00:52,834 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3064/0.4005/0.8185. [2025-03-11 05:00:52,835 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 05:00:52,854 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3125 [2025-03-11 05:00:52,855 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 05:01:23,038 INFO hook.py line 566 2389709] Train: [68/100][50/300] Data 0.002 (0.002) Batch 0.430 (0.501) Remain 01:22:11 loss: 0.5470 Lr: 1.33627e-03 [2025-03-11 05:01:47,784 INFO hook.py line 566 2389709] Train: [68/100][100/300] Data 0.002 (0.002) Batch 0.485 (0.498) Remain 01:21:17 loss: 0.6020 Lr: 1.32434e-03 [2025-03-11 05:02:12,560 INFO hook.py line 566 2389709] Train: [68/100][150/300] Data 0.002 (0.002) Batch 0.445 (0.497) Remain 01:20:45 loss: 0.3498 Lr: 1.31220e-03 [2025-03-11 05:02:36,707 INFO hook.py line 566 2389709] Train: [68/100][200/300] Data 0.004 (0.002) Batch 0.507 (0.493) Remain 01:19:46 loss: 0.7024 Lr: 1.30009e-03 [2025-03-11 05:03:01,698 INFO hook.py line 566 2389709] Train: [68/100][250/300] Data 0.002 (0.002) Batch 0.460 (0.495) Remain 01:19:33 loss: 0.6550 Lr: 1.28803e-03 [2025-03-11 05:03:25,762 INFO hook.py line 566 2389709] Train: [68/100][300/300] Data 0.002 (0.002) Batch 0.489 (0.492) Remain 01:18:47 loss: 0.5167 Lr: 1.27600e-03 [2025-03-11 05:03:25,763 INFO misc.py line 135 2389709] Train result: loss: 0.5585 [2025-03-11 05:03:25,884 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 05:04:14,937 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3142 [2025-03-11 05:04:14,983 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2339 [2025-03-11 05:04:15,018 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7712 [2025-03-11 05:04:15,071 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5770 [2025-03-11 05:04:15,112 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9111 [2025-03-11 05:04:15,171 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.7636 [2025-03-11 05:04:15,223 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.0715 [2025-03-11 05:04:15,263 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.1970 [2025-03-11 05:04:15,315 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3437 [2025-03-11 05:04:15,357 INFO hook.py line 748 2389709] Test: [10/78] Loss 0.9986 [2025-03-11 05:04:15,407 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3444 [2025-03-11 05:04:15,447 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.4607 [2025-03-11 05:04:15,499 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.0010 [2025-03-11 05:04:15,545 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.7895 [2025-03-11 05:04:15,584 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.3212 [2025-03-11 05:04:15,633 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0719 [2025-03-11 05:04:15,672 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4127 [2025-03-11 05:04:15,722 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9252 [2025-03-11 05:04:15,764 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2695 [2025-03-11 05:04:15,801 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7483 [2025-03-11 05:04:15,836 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6821 [2025-03-11 05:04:15,880 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7783 [2025-03-11 05:04:15,915 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.6019 [2025-03-11 05:04:15,983 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9030 [2025-03-11 05:04:16,033 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.8579 [2025-03-11 05:04:16,079 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.3891 [2025-03-11 05:04:16,133 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8664 [2025-03-11 05:04:16,172 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6933 [2025-03-11 05:04:16,210 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9032 [2025-03-11 05:04:16,267 INFO hook.py line 748 2389709] Test: [30/78] Loss 0.9870 [2025-03-11 05:04:16,329 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6295 [2025-03-11 05:04:16,366 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.7354 [2025-03-11 05:04:16,423 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.0779 [2025-03-11 05:04:16,471 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.1607 [2025-03-11 05:04:16,511 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3627 [2025-03-11 05:04:16,550 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2078 [2025-03-11 05:04:16,593 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.2785 [2025-03-11 05:04:16,623 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.6944 [2025-03-11 05:04:16,693 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.4960 [2025-03-11 05:04:16,749 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5578 [2025-03-11 05:04:16,809 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1993 [2025-03-11 05:04:16,842 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4398 [2025-03-11 05:04:16,882 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.9470 [2025-03-11 05:04:16,941 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0596 [2025-03-11 05:04:16,981 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4492 [2025-03-11 05:04:17,034 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1557 [2025-03-11 05:04:17,076 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8987 [2025-03-11 05:04:17,113 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1231 [2025-03-11 05:04:17,148 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.6622 [2025-03-11 05:04:17,186 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8392 [2025-03-11 05:04:17,220 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2136 [2025-03-11 05:04:17,257 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.8258 [2025-03-11 05:04:17,289 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4324 [2025-03-11 05:04:17,328 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.9770 [2025-03-11 05:04:17,370 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.2578 [2025-03-11 05:04:17,411 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.2640 [2025-03-11 05:04:17,449 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.9593 [2025-03-11 05:04:17,478 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9023 [2025-03-11 05:04:17,519 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.6487 [2025-03-11 05:04:17,561 INFO hook.py line 748 2389709] Test: [60/78] Loss 1.0089 [2025-03-11 05:04:17,590 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.0018 [2025-03-11 05:04:17,631 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9780 [2025-03-11 05:04:17,668 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0571 [2025-03-11 05:04:17,727 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8252 [2025-03-11 05:04:17,759 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.0328 [2025-03-11 05:04:17,807 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7626 [2025-03-11 05:04:17,846 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.2405 [2025-03-11 05:04:17,887 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9823 [2025-03-11 05:04:17,922 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4219 [2025-03-11 05:04:17,988 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7612 [2025-03-11 05:04:18,032 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.6442 [2025-03-11 05:04:18,089 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7722 [2025-03-11 05:04:18,147 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7604 [2025-03-11 05:04:18,191 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.4919 [2025-03-11 05:04:18,243 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5311 [2025-03-11 05:04:18,272 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.3537 [2025-03-11 05:04:18,334 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6415 [2025-03-11 05:04:18,361 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.6554 [2025-03-11 05:04:19,575 INFO hook.py line 674 2389709] ######################################## [2025-03-11 05:04:19,575 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 05:04:19,575 INFO hook.py line 680 2389709] ######################################## [2025-03-11 05:04:19,575 INFO hook.py line 689 2389709] wall : 0.7900 0.9134 [2025-03-11 05:04:19,575 INFO hook.py line 689 2389709] chair : 0.7034 0.8359 [2025-03-11 05:04:19,576 INFO hook.py line 689 2389709] floor : 0.9581 0.9809 [2025-03-11 05:04:19,576 INFO hook.py line 689 2389709] table : 0.6379 0.7517 [2025-03-11 05:04:19,576 INFO hook.py line 689 2389709] door : 0.6187 0.6879 [2025-03-11 05:04:19,576 INFO hook.py line 689 2389709] couch : 0.7662 0.9279 [2025-03-11 05:04:19,576 INFO hook.py line 689 2389709] cabinet : 0.3575 0.5944 [2025-03-11 05:04:19,576 INFO hook.py line 689 2389709] shelf : 0.4125 0.6120 [2025-03-11 05:04:19,576 INFO hook.py line 689 2389709] desk : 0.5438 0.8701 [2025-03-11 05:04:19,576 INFO hook.py line 689 2389709] office chair : 0.1369 0.2348 [2025-03-11 05:04:19,576 INFO hook.py line 689 2389709] bed : 0.8026 0.9063 [2025-03-11 05:04:19,576 INFO hook.py line 689 2389709] pillow : 0.5603 0.7960 [2025-03-11 05:04:19,576 INFO hook.py line 689 2389709] sink : 0.6544 0.7211 [2025-03-11 05:04:19,577 INFO hook.py line 689 2389709] picture : 0.3774 0.5224 [2025-03-11 05:04:19,577 INFO hook.py line 689 2389709] window : 0.5506 0.7006 [2025-03-11 05:04:19,577 INFO hook.py line 689 2389709] toilet : 0.9425 0.9662 [2025-03-11 05:04:19,577 INFO hook.py line 689 2389709] bookshelf : 0.4267 0.5216 [2025-03-11 05:04:19,577 INFO hook.py line 689 2389709] monitor : 0.8427 0.8959 [2025-03-11 05:04:19,577 INFO hook.py line 689 2389709] curtain : 0.6962 0.8140 [2025-03-11 05:04:19,577 INFO hook.py line 689 2389709] book : 0.4452 0.6627 [2025-03-11 05:04:19,577 INFO hook.py line 689 2389709] armchair : 0.2457 0.2695 [2025-03-11 05:04:19,577 INFO hook.py line 689 2389709] coffee table : 0.6643 0.8868 [2025-03-11 05:04:19,577 INFO hook.py line 689 2389709] box : 0.2895 0.3963 [2025-03-11 05:04:19,577 INFO hook.py line 689 2389709] refrigerator : 0.6412 0.7846 [2025-03-11 05:04:19,578 INFO hook.py line 689 2389709] lamp : 0.6674 0.7247 [2025-03-11 05:04:19,578 INFO hook.py line 689 2389709] kitchen cabinet: 0.6125 0.7992 [2025-03-11 05:04:19,578 INFO hook.py line 689 2389709] towel : 0.4826 0.6626 [2025-03-11 05:04:19,578 INFO hook.py line 689 2389709] clothes : 0.1858 0.3421 [2025-03-11 05:04:19,578 INFO hook.py line 689 2389709] tv : 0.8496 0.8972 [2025-03-11 05:04:19,578 INFO hook.py line 689 2389709] nightstand : 0.6724 0.8386 [2025-03-11 05:04:19,578 INFO hook.py line 689 2389709] counter : 0.2839 0.4439 [2025-03-11 05:04:19,578 INFO hook.py line 689 2389709] dresser : 0.3408 0.4728 [2025-03-11 05:04:19,578 INFO hook.py line 689 2389709] stool : 0.5317 0.7162 [2025-03-11 05:04:19,578 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 05:04:19,578 INFO hook.py line 689 2389709] plant : 0.7744 0.9071 [2025-03-11 05:04:19,579 INFO hook.py line 689 2389709] ceiling : 0.9227 0.9694 [2025-03-11 05:04:19,579 INFO hook.py line 689 2389709] bathtub : 0.8777 0.9043 [2025-03-11 05:04:19,579 INFO hook.py line 689 2389709] end table : 0.1226 0.1714 [2025-03-11 05:04:19,579 INFO hook.py line 689 2389709] dining table : 0.0144 0.0192 [2025-03-11 05:04:19,579 INFO hook.py line 689 2389709] keyboard : 0.4058 0.5145 [2025-03-11 05:04:19,579 INFO hook.py line 689 2389709] bag : 0.1848 0.2685 [2025-03-11 05:04:19,579 INFO hook.py line 689 2389709] backpack : 0.5773 0.6099 [2025-03-11 05:04:19,579 INFO hook.py line 689 2389709] toilet paper : 0.4669 0.5434 [2025-03-11 05:04:19,579 INFO hook.py line 689 2389709] printer : 0.4313 0.6036 [2025-03-11 05:04:19,579 INFO hook.py line 689 2389709] tv stand : 0.2869 0.3791 [2025-03-11 05:04:19,579 INFO hook.py line 689 2389709] whiteboard : 0.4945 0.6719 [2025-03-11 05:04:19,579 INFO hook.py line 689 2389709] blanket : 0.0367 0.0433 [2025-03-11 05:04:19,580 INFO hook.py line 689 2389709] shower curtain : 0.6835 0.7683 [2025-03-11 05:04:19,580 INFO hook.py line 689 2389709] trash can : 0.6179 0.8405 [2025-03-11 05:04:19,580 INFO hook.py line 689 2389709] closet : 0.1045 0.1445 [2025-03-11 05:04:19,580 INFO hook.py line 689 2389709] stairs : 0.5471 0.6736 [2025-03-11 05:04:19,580 INFO hook.py line 689 2389709] microwave : 0.5268 0.8031 [2025-03-11 05:04:19,580 INFO hook.py line 689 2389709] stove : 0.5290 0.7061 [2025-03-11 05:04:19,580 INFO hook.py line 689 2389709] shoe : 0.4968 0.5748 [2025-03-11 05:04:19,580 INFO hook.py line 689 2389709] computer tower : 0.5156 0.8108 [2025-03-11 05:04:19,580 INFO hook.py line 689 2389709] bottle : 0.1162 0.2305 [2025-03-11 05:04:19,580 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 05:04:19,580 INFO hook.py line 689 2389709] ottoman : 0.3393 0.4004 [2025-03-11 05:04:19,581 INFO hook.py line 689 2389709] bench : 0.3982 0.4787 [2025-03-11 05:04:19,581 INFO hook.py line 689 2389709] board : 0.1251 0.2621 [2025-03-11 05:04:19,581 INFO hook.py line 689 2389709] washing machine: 0.8567 0.9276 [2025-03-11 05:04:19,581 INFO hook.py line 689 2389709] mirror : 0.3932 0.4526 [2025-03-11 05:04:19,581 INFO hook.py line 689 2389709] copier : 0.8841 0.9000 [2025-03-11 05:04:19,581 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 05:04:19,581 INFO hook.py line 689 2389709] sofa chair : 0.1752 0.5316 [2025-03-11 05:04:19,581 INFO hook.py line 689 2389709] file cabinet : 0.4747 0.5443 [2025-03-11 05:04:19,581 INFO hook.py line 689 2389709] fan : 0.4694 0.5025 [2025-03-11 05:04:19,581 INFO hook.py line 689 2389709] laptop : 0.5230 0.7322 [2025-03-11 05:04:19,581 INFO hook.py line 689 2389709] shower : 0.2165 0.2289 [2025-03-11 05:04:19,582 INFO hook.py line 689 2389709] paper : 0.0265 0.0317 [2025-03-11 05:04:19,582 INFO hook.py line 689 2389709] person : 0.3733 0.4513 [2025-03-11 05:04:19,582 INFO hook.py line 689 2389709] paper towel dispenser: 0.4716 0.8100 [2025-03-11 05:04:19,582 INFO hook.py line 689 2389709] oven : 0.0355 0.0380 [2025-03-11 05:04:19,582 INFO hook.py line 689 2389709] blinds : 0.0001 0.0001 [2025-03-11 05:04:19,582 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 05:04:19,582 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 05:04:19,582 INFO hook.py line 689 2389709] blackboard : 0.5742 0.6586 [2025-03-11 05:04:19,582 INFO hook.py line 689 2389709] piano : 0.2784 0.4813 [2025-03-11 05:04:19,582 INFO hook.py line 689 2389709] suitcase : 0.5981 0.8084 [2025-03-11 05:04:19,582 INFO hook.py line 689 2389709] rail : 0.0221 0.0241 [2025-03-11 05:04:19,583 INFO hook.py line 689 2389709] radiator : 0.5946 0.6745 [2025-03-11 05:04:19,583 INFO hook.py line 689 2389709] recycling bin : 0.4821 0.6540 [2025-03-11 05:04:19,583 INFO hook.py line 689 2389709] container : 0.0012 0.0016 [2025-03-11 05:04:19,583 INFO hook.py line 689 2389709] wardrobe : 0.1652 0.2419 [2025-03-11 05:04:19,583 INFO hook.py line 689 2389709] soap dispenser : 0.8049 0.9024 [2025-03-11 05:04:19,583 INFO hook.py line 689 2389709] telephone : 0.3167 0.5882 [2025-03-11 05:04:19,583 INFO hook.py line 689 2389709] bucket : 0.4830 0.6500 [2025-03-11 05:04:19,583 INFO hook.py line 689 2389709] clock : 0.2733 0.3217 [2025-03-11 05:04:19,583 INFO hook.py line 689 2389709] stand : 0.0029 0.0544 [2025-03-11 05:04:19,583 INFO hook.py line 689 2389709] light : 0.0447 0.0567 [2025-03-11 05:04:19,583 INFO hook.py line 689 2389709] laundry basket : 0.0048 0.0054 [2025-03-11 05:04:19,584 INFO hook.py line 689 2389709] pipe : 0.0616 0.0819 [2025-03-11 05:04:19,584 INFO hook.py line 689 2389709] clothes dryer : 0.6816 0.7031 [2025-03-11 05:04:19,584 INFO hook.py line 689 2389709] guitar : 0.5783 0.6412 [2025-03-11 05:04:19,584 INFO hook.py line 689 2389709] toilet paper holder: 0.0862 0.2524 [2025-03-11 05:04:19,584 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 05:04:19,584 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 05:04:19,584 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 05:04:19,584 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 05:04:19,584 INFO hook.py line 689 2389709] ladder : 0.4737 0.6198 [2025-03-11 05:04:19,584 INFO hook.py line 689 2389709] bathroom stall : 0.5945 0.7381 [2025-03-11 05:04:19,584 INFO hook.py line 689 2389709] shower wall : 0.4920 0.6551 [2025-03-11 05:04:19,584 INFO hook.py line 689 2389709] cup : 0.2147 0.4520 [2025-03-11 05:04:19,585 INFO hook.py line 689 2389709] jacket : 0.1381 0.2317 [2025-03-11 05:04:19,585 INFO hook.py line 689 2389709] storage bin : 0.0010 0.0014 [2025-03-11 05:04:19,585 INFO hook.py line 689 2389709] coffee maker : 0.5627 0.8151 [2025-03-11 05:04:19,585 INFO hook.py line 689 2389709] dishwasher : 0.2589 0.5025 [2025-03-11 05:04:19,585 INFO hook.py line 689 2389709] paper towel roll: 0.3073 0.3892 [2025-03-11 05:04:19,585 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 05:04:19,585 INFO hook.py line 689 2389709] mat : 0.3244 0.3909 [2025-03-11 05:04:19,585 INFO hook.py line 689 2389709] windowsill : 0.1799 0.2450 [2025-03-11 05:04:19,585 INFO hook.py line 689 2389709] bar : 0.1557 0.2931 [2025-03-11 05:04:19,585 INFO hook.py line 689 2389709] toaster : 0.4196 0.8000 [2025-03-11 05:04:19,585 INFO hook.py line 689 2389709] bulletin board : 0.2993 0.3164 [2025-03-11 05:04:19,586 INFO hook.py line 689 2389709] ironing board : 0.1613 0.1998 [2025-03-11 05:04:19,586 INFO hook.py line 689 2389709] fireplace : 0.5809 0.6235 [2025-03-11 05:04:19,586 INFO hook.py line 689 2389709] soap dish : 0.3301 0.4781 [2025-03-11 05:04:19,586 INFO hook.py line 689 2389709] kitchen counter: 0.5705 0.8015 [2025-03-11 05:04:19,586 INFO hook.py line 689 2389709] doorframe : 0.3929 0.7082 [2025-03-11 05:04:19,586 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4311 0.5180 [2025-03-11 05:04:19,586 INFO hook.py line 689 2389709] mini fridge : 0.2919 0.3181 [2025-03-11 05:04:19,586 INFO hook.py line 689 2389709] fire extinguisher: 0.0771 0.0858 [2025-03-11 05:04:19,586 INFO hook.py line 689 2389709] ball : 0.4601 0.9283 [2025-03-11 05:04:19,586 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 05:04:19,586 INFO hook.py line 689 2389709] shower curtain rod: 0.3411 0.9273 [2025-03-11 05:04:19,586 INFO hook.py line 689 2389709] water cooler : 0.7906 0.8778 [2025-03-11 05:04:19,587 INFO hook.py line 689 2389709] paper cutter : 0.2330 0.2656 [2025-03-11 05:04:19,587 INFO hook.py line 689 2389709] tray : 0.0314 0.0483 [2025-03-11 05:04:19,587 INFO hook.py line 689 2389709] shower door : 0.1707 0.3202 [2025-03-11 05:04:19,587 INFO hook.py line 689 2389709] pillar : 0.0057 0.0057 [2025-03-11 05:04:19,587 INFO hook.py line 689 2389709] ledge : 0.0455 0.0747 [2025-03-11 05:04:19,587 INFO hook.py line 689 2389709] toaster oven : 0.0200 0.0211 [2025-03-11 05:04:19,587 INFO hook.py line 689 2389709] mouse : 0.1749 0.3568 [2025-03-11 05:04:19,587 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6770 0.7990 [2025-03-11 05:04:19,587 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 05:04:19,587 INFO hook.py line 689 2389709] cart : 0.2060 0.2660 [2025-03-11 05:04:19,587 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 05:04:19,588 INFO hook.py line 689 2389709] scale : 0.4092 0.8125 [2025-03-11 05:04:19,588 INFO hook.py line 689 2389709] tissue box : 0.1867 0.3279 [2025-03-11 05:04:19,588 INFO hook.py line 689 2389709] light switch : 0.0535 0.2315 [2025-03-11 05:04:19,588 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 05:04:19,588 INFO hook.py line 689 2389709] power outlet : 0.0993 0.1879 [2025-03-11 05:04:19,588 INFO hook.py line 689 2389709] decoration : 0.1061 0.1498 [2025-03-11 05:04:19,588 INFO hook.py line 689 2389709] sign : 0.0084 0.0095 [2025-03-11 05:04:19,588 INFO hook.py line 689 2389709] projector : 0.1691 1.0000 [2025-03-11 05:04:19,588 INFO hook.py line 689 2389709] closet door : 0.0989 0.1137 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] vacuum cleaner : 0.7196 0.7372 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] plunger : 0.6240 0.9587 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] headphones : 0.0014 0.0017 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] dish rack : 0.8268 0.9342 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] broom : 0.0358 0.0567 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] range hood : 0.7821 0.9091 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] dustpan : 0.0838 0.2094 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] water bottle : 0.0012 0.0040 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] handicap bar : 0.0512 0.9003 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] shower floor : 0.8734 0.9939 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] mailbox : 0.4874 0.5345 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] bowl : 0.1012 0.1407 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] paper bag : 0.0435 0.0813 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] projector screen: 0.0003 0.0003 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] divider : 0.1206 0.1269 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] bathroom counter: 0.1935 0.2299 [2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] object : 0.0339 0.0768 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] bathroom vanity: 0.5225 0.8014 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] closet wall : 0.0397 0.0595 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] laundry hamper : 0.0681 0.0752 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] bathroom stall door: 0.6613 0.7718 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] ceiling light : 0.2093 0.3052 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] trash bin : 0.1906 0.2520 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] dumbbell : 0.8687 0.9658 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] stair rail : 0.1869 0.2178 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] tube : 0.1427 0.2159 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] bathroom cabinet: 0.3057 0.4650 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] closet rod : 0.3272 0.9152 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] coffee kettle : 0.4283 0.5181 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] shower head : 0.3022 0.3471 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] case of water bottles: 0.0334 0.0353 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] mattress : 0.0084 0.0084 [2025-03-11 05:04:19,590 INFO hook.py line 690 2389709] ######################################## [2025-03-11 05:04:19,590 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3053/0.4058/0.8120. [2025-03-11 05:04:19,591 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 05:04:19,612 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3125 [2025-03-11 05:04:19,612 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 05:04:50,143 INFO hook.py line 566 2389709] Train: [69/100][50/300] Data 0.003 (0.002) Batch 0.489 (0.500) Remain 01:19:31 loss: 0.5968 Lr: 1.26400e-03 [2025-03-11 05:05:14,916 INFO hook.py line 566 2389709] Train: [69/100][100/300] Data 0.002 (0.002) Batch 0.513 (0.497) Remain 01:18:46 loss: 0.5591 Lr: 1.25205e-03 [2025-03-11 05:05:39,458 INFO hook.py line 566 2389709] Train: [69/100][150/300] Data 0.002 (0.002) Batch 0.465 (0.495) Remain 01:17:59 loss: 0.6389 Lr: 1.24013e-03 [2025-03-11 05:06:03,785 INFO hook.py line 566 2389709] Train: [69/100][200/300] Data 0.002 (0.002) Batch 0.548 (0.493) Remain 01:17:14 loss: 0.6004 Lr: 1.22825e-03 [2025-03-11 05:06:28,574 INFO hook.py line 566 2389709] Train: [69/100][250/300] Data 0.002 (0.002) Batch 0.510 (0.494) Remain 01:16:54 loss: 0.6117 Lr: 1.21641e-03 [2025-03-11 05:06:52,562 INFO hook.py line 566 2389709] Train: [69/100][300/300] Data 0.001 (0.002) Batch 0.462 (0.491) Remain 01:16:08 loss: 0.7661 Lr: 1.20460e-03 [2025-03-11 05:06:52,562 INFO misc.py line 135 2389709] Train result: loss: 0.5599 [2025-03-11 05:06:52,661 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 05:07:43,954 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5062 [2025-03-11 05:07:44,043 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.4032 [2025-03-11 05:07:44,086 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4377 [2025-03-11 05:07:44,135 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4804 [2025-03-11 05:07:44,171 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0269 [2025-03-11 05:07:44,230 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.7330 [2025-03-11 05:07:44,282 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7600 [2025-03-11 05:07:44,318 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3434 [2025-03-11 05:07:44,365 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.0300 [2025-03-11 05:07:44,404 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.3455 [2025-03-11 05:07:44,457 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1693 [2025-03-11 05:07:44,498 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0127 [2025-03-11 05:07:44,552 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.0691 [2025-03-11 05:07:44,592 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4504 [2025-03-11 05:07:44,630 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.4641 [2025-03-11 05:07:44,679 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0812 [2025-03-11 05:07:44,719 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5219 [2025-03-11 05:07:44,753 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1228 [2025-03-11 05:07:44,798 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4549 [2025-03-11 05:07:44,835 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6403 [2025-03-11 05:07:44,871 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6711 [2025-03-11 05:07:44,920 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8917 [2025-03-11 05:07:44,951 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5859 [2025-03-11 05:07:44,999 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.2304 [2025-03-11 05:07:45,041 INFO hook.py line 748 2389709] Test: [25/78] Loss 2.0839 [2025-03-11 05:07:45,092 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2826 [2025-03-11 05:07:45,146 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.7868 [2025-03-11 05:07:45,180 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7304 [2025-03-11 05:07:45,209 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0379 [2025-03-11 05:07:45,266 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.0636 [2025-03-11 05:07:45,325 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4018 [2025-03-11 05:07:45,363 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.5238 [2025-03-11 05:07:45,421 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8337 [2025-03-11 05:07:45,461 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.5257 [2025-03-11 05:07:45,501 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3803 [2025-03-11 05:07:45,541 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5785 [2025-03-11 05:07:45,581 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.4366 [2025-03-11 05:07:45,611 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7943 [2025-03-11 05:07:45,682 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.6407 [2025-03-11 05:07:45,733 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4837 [2025-03-11 05:07:45,779 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3748 [2025-03-11 05:07:45,816 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5458 [2025-03-11 05:07:45,863 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.8445 [2025-03-11 05:07:45,921 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0881 [2025-03-11 05:07:45,959 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.9376 [2025-03-11 05:07:46,009 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1140 [2025-03-11 05:07:46,056 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8159 [2025-03-11 05:07:46,093 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0847 [2025-03-11 05:07:46,124 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.5320 [2025-03-11 05:07:46,156 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.0549 [2025-03-11 05:07:46,192 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.7601 [2025-03-11 05:07:46,229 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6890 [2025-03-11 05:07:46,263 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.5522 [2025-03-11 05:07:46,299 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8250 [2025-03-11 05:07:46,337 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.6604 [2025-03-11 05:07:46,378 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8981 [2025-03-11 05:07:46,412 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.2006 [2025-03-11 05:07:46,439 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.0438 [2025-03-11 05:07:46,480 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7680 [2025-03-11 05:07:46,521 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6611 [2025-03-11 05:07:46,552 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7353 [2025-03-11 05:07:46,592 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9238 [2025-03-11 05:07:46,629 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2902 [2025-03-11 05:07:46,686 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7391 [2025-03-11 05:07:46,719 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3974 [2025-03-11 05:07:46,762 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.3261 [2025-03-11 05:07:46,802 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9678 [2025-03-11 05:07:46,844 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.2334 [2025-03-11 05:07:46,877 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4236 [2025-03-11 05:07:46,937 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.2971 [2025-03-11 05:07:46,981 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.0919 [2025-03-11 05:07:47,039 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5956 [2025-03-11 05:07:47,097 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5256 [2025-03-11 05:07:47,140 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.5097 [2025-03-11 05:07:47,191 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6082 [2025-03-11 05:07:47,221 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0458 [2025-03-11 05:07:47,283 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5233 [2025-03-11 05:07:47,309 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9315 [2025-03-11 05:07:48,615 INFO hook.py line 674 2389709] ######################################## [2025-03-11 05:07:48,616 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 05:07:48,617 INFO hook.py line 680 2389709] ######################################## [2025-03-11 05:07:48,618 INFO hook.py line 689 2389709] wall : 0.7997 0.9274 [2025-03-11 05:07:48,618 INFO hook.py line 689 2389709] chair : 0.6636 0.7422 [2025-03-11 05:07:48,620 INFO hook.py line 689 2389709] floor : 0.9604 0.9819 [2025-03-11 05:07:48,621 INFO hook.py line 689 2389709] table : 0.6228 0.7352 [2025-03-11 05:07:48,622 INFO hook.py line 689 2389709] door : 0.6427 0.8018 [2025-03-11 05:07:48,622 INFO hook.py line 689 2389709] couch : 0.8005 0.8482 [2025-03-11 05:07:48,622 INFO hook.py line 689 2389709] cabinet : 0.3507 0.5782 [2025-03-11 05:07:48,622 INFO hook.py line 689 2389709] shelf : 0.4027 0.5618 [2025-03-11 05:07:48,622 INFO hook.py line 689 2389709] desk : 0.5878 0.8177 [2025-03-11 05:07:48,623 INFO hook.py line 689 2389709] office chair : 0.2736 0.6727 [2025-03-11 05:07:48,623 INFO hook.py line 689 2389709] bed : 0.7629 0.8294 [2025-03-11 05:07:48,623 INFO hook.py line 689 2389709] pillow : 0.5598 0.7135 [2025-03-11 05:07:48,623 INFO hook.py line 689 2389709] sink : 0.6421 0.7531 [2025-03-11 05:07:48,624 INFO hook.py line 689 2389709] picture : 0.3727 0.4467 [2025-03-11 05:07:48,624 INFO hook.py line 689 2389709] window : 0.5870 0.7890 [2025-03-11 05:07:48,624 INFO hook.py line 689 2389709] toilet : 0.9202 0.9424 [2025-03-11 05:07:48,625 INFO hook.py line 689 2389709] bookshelf : 0.4689 0.6259 [2025-03-11 05:07:48,625 INFO hook.py line 689 2389709] monitor : 0.8428 0.9210 [2025-03-11 05:07:48,625 INFO hook.py line 689 2389709] curtain : 0.6646 0.8193 [2025-03-11 05:07:48,625 INFO hook.py line 689 2389709] book : 0.4565 0.7126 [2025-03-11 05:07:48,626 INFO hook.py line 689 2389709] armchair : 0.5584 0.8430 [2025-03-11 05:07:48,626 INFO hook.py line 689 2389709] coffee table : 0.7068 0.8999 [2025-03-11 05:07:48,626 INFO hook.py line 689 2389709] box : 0.3000 0.4239 [2025-03-11 05:07:48,626 INFO hook.py line 689 2389709] refrigerator : 0.6626 0.7185 [2025-03-11 05:07:48,626 INFO hook.py line 689 2389709] lamp : 0.7035 0.8037 [2025-03-11 05:07:48,627 INFO hook.py line 689 2389709] kitchen cabinet: 0.5936 0.6419 [2025-03-11 05:07:48,627 INFO hook.py line 689 2389709] towel : 0.4373 0.6371 [2025-03-11 05:07:48,627 INFO hook.py line 689 2389709] clothes : 0.1865 0.3631 [2025-03-11 05:07:48,627 INFO hook.py line 689 2389709] tv : 0.8299 0.9198 [2025-03-11 05:07:48,628 INFO hook.py line 689 2389709] nightstand : 0.6270 0.8398 [2025-03-11 05:07:48,628 INFO hook.py line 689 2389709] counter : 0.2486 0.4649 [2025-03-11 05:07:48,629 INFO hook.py line 689 2389709] dresser : 0.3155 0.3589 [2025-03-11 05:07:48,629 INFO hook.py line 689 2389709] stool : 0.5012 0.7473 [2025-03-11 05:07:48,629 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 05:07:48,629 INFO hook.py line 689 2389709] plant : 0.6114 0.9606 [2025-03-11 05:07:48,630 INFO hook.py line 689 2389709] ceiling : 0.9297 0.9614 [2025-03-11 05:07:48,630 INFO hook.py line 689 2389709] bathtub : 0.8767 0.8947 [2025-03-11 05:07:48,630 INFO hook.py line 689 2389709] end table : 0.2427 0.3780 [2025-03-11 05:07:48,630 INFO hook.py line 689 2389709] dining table : 0.0110 0.0230 [2025-03-11 05:07:48,630 INFO hook.py line 689 2389709] keyboard : 0.4225 0.6346 [2025-03-11 05:07:48,631 INFO hook.py line 689 2389709] bag : 0.2590 0.3288 [2025-03-11 05:07:48,631 INFO hook.py line 689 2389709] backpack : 0.6269 0.7022 [2025-03-11 05:07:48,631 INFO hook.py line 689 2389709] toilet paper : 0.4810 0.5300 [2025-03-11 05:07:48,631 INFO hook.py line 689 2389709] printer : 0.4674 0.5973 [2025-03-11 05:07:48,632 INFO hook.py line 689 2389709] tv stand : 0.3615 0.3996 [2025-03-11 05:07:48,632 INFO hook.py line 689 2389709] whiteboard : 0.5082 0.6768 [2025-03-11 05:07:48,632 INFO hook.py line 689 2389709] blanket : 0.0129 0.0246 [2025-03-11 05:07:48,632 INFO hook.py line 689 2389709] shower curtain : 0.6334 0.7095 [2025-03-11 05:07:48,632 INFO hook.py line 689 2389709] trash can : 0.5783 0.8728 [2025-03-11 05:07:48,633 INFO hook.py line 689 2389709] closet : 0.1189 0.1589 [2025-03-11 05:07:48,633 INFO hook.py line 689 2389709] stairs : 0.5475 0.7047 [2025-03-11 05:07:48,633 INFO hook.py line 689 2389709] microwave : 0.5149 0.7143 [2025-03-11 05:07:48,634 INFO hook.py line 689 2389709] stove : 0.6261 0.8268 [2025-03-11 05:07:48,635 INFO hook.py line 689 2389709] shoe : 0.4580 0.6290 [2025-03-11 05:07:48,635 INFO hook.py line 689 2389709] computer tower : 0.5833 0.8150 [2025-03-11 05:07:48,635 INFO hook.py line 689 2389709] bottle : 0.1103 0.1951 [2025-03-11 05:07:48,636 INFO hook.py line 689 2389709] bin : 0.0016 0.0034 [2025-03-11 05:07:48,636 INFO hook.py line 689 2389709] ottoman : 0.3900 0.4454 [2025-03-11 05:07:48,636 INFO hook.py line 689 2389709] bench : 0.2775 0.3314 [2025-03-11 05:07:48,636 INFO hook.py line 689 2389709] board : 0.2601 0.3819 [2025-03-11 05:07:48,637 INFO hook.py line 689 2389709] washing machine: 0.7582 0.9661 [2025-03-11 05:07:48,637 INFO hook.py line 689 2389709] mirror : 0.3854 0.4704 [2025-03-11 05:07:48,637 INFO hook.py line 689 2389709] copier : 0.7979 0.9118 [2025-03-11 05:07:48,637 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 05:07:48,637 INFO hook.py line 689 2389709] sofa chair : 0.1220 0.1629 [2025-03-11 05:07:48,637 INFO hook.py line 689 2389709] file cabinet : 0.4524 0.6537 [2025-03-11 05:07:48,638 INFO hook.py line 689 2389709] fan : 0.3028 0.3311 [2025-03-11 05:07:48,638 INFO hook.py line 689 2389709] laptop : 0.5213 0.7018 [2025-03-11 05:07:48,638 INFO hook.py line 689 2389709] shower : 0.2820 0.3153 [2025-03-11 05:07:48,638 INFO hook.py line 689 2389709] paper : 0.1031 0.1857 [2025-03-11 05:07:48,638 INFO hook.py line 689 2389709] person : 0.2842 0.5237 [2025-03-11 05:07:48,638 INFO hook.py line 689 2389709] paper towel dispenser: 0.5315 0.7668 [2025-03-11 05:07:48,639 INFO hook.py line 689 2389709] oven : 0.0525 0.0549 [2025-03-11 05:07:48,639 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 05:07:48,639 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 05:07:48,639 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 05:07:48,640 INFO hook.py line 689 2389709] blackboard : 0.6201 0.7126 [2025-03-11 05:07:48,640 INFO hook.py line 689 2389709] piano : 0.5375 0.6964 [2025-03-11 05:07:48,640 INFO hook.py line 689 2389709] suitcase : 0.6268 0.6947 [2025-03-11 05:07:48,641 INFO hook.py line 689 2389709] rail : 0.1073 0.1181 [2025-03-11 05:07:48,641 INFO hook.py line 689 2389709] radiator : 0.6282 0.6737 [2025-03-11 05:07:48,642 INFO hook.py line 689 2389709] recycling bin : 0.4783 0.5593 [2025-03-11 05:07:48,642 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 05:07:48,643 INFO hook.py line 689 2389709] wardrobe : 0.1209 0.1601 [2025-03-11 05:07:48,643 INFO hook.py line 689 2389709] soap dispenser : 0.6909 0.9318 [2025-03-11 05:07:48,643 INFO hook.py line 689 2389709] telephone : 0.3020 0.5283 [2025-03-11 05:07:48,644 INFO hook.py line 689 2389709] bucket : 0.3373 0.5955 [2025-03-11 05:07:48,644 INFO hook.py line 689 2389709] clock : 0.3063 0.3563 [2025-03-11 05:07:48,644 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 05:07:48,644 INFO hook.py line 689 2389709] light : 0.0249 0.0284 [2025-03-11 05:07:48,645 INFO hook.py line 689 2389709] laundry basket : 0.0838 0.0898 [2025-03-11 05:07:48,645 INFO hook.py line 689 2389709] pipe : 0.0630 0.0861 [2025-03-11 05:07:48,645 INFO hook.py line 689 2389709] clothes dryer : 0.5640 0.5707 [2025-03-11 05:07:48,645 INFO hook.py line 689 2389709] guitar : 0.4793 0.5138 [2025-03-11 05:07:48,646 INFO hook.py line 689 2389709] toilet paper holder: 0.0450 0.2046 [2025-03-11 05:07:48,646 INFO hook.py line 689 2389709] seat : 0.0263 0.0364 [2025-03-11 05:07:48,646 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 05:07:48,646 INFO hook.py line 689 2389709] column : 0.0023 0.0025 [2025-03-11 05:07:48,646 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 05:07:48,646 INFO hook.py line 689 2389709] ladder : 0.4899 0.5804 [2025-03-11 05:07:48,647 INFO hook.py line 689 2389709] bathroom stall : 0.4975 0.5823 [2025-03-11 05:07:48,647 INFO hook.py line 689 2389709] shower wall : 0.4465 0.5429 [2025-03-11 05:07:48,647 INFO hook.py line 689 2389709] cup : 0.1963 0.4087 [2025-03-11 05:07:48,647 INFO hook.py line 689 2389709] jacket : 0.1854 0.2469 [2025-03-11 05:07:48,648 INFO hook.py line 689 2389709] storage bin : 0.0136 0.0196 [2025-03-11 05:07:48,648 INFO hook.py line 689 2389709] coffee maker : 0.5793 0.9949 [2025-03-11 05:07:48,648 INFO hook.py line 689 2389709] dishwasher : 0.2599 0.3854 [2025-03-11 05:07:48,649 INFO hook.py line 689 2389709] paper towel roll: 0.3328 0.3925 [2025-03-11 05:07:48,650 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 05:07:48,650 INFO hook.py line 689 2389709] mat : 0.2350 0.2423 [2025-03-11 05:07:48,651 INFO hook.py line 689 2389709] windowsill : 0.2906 0.3588 [2025-03-11 05:07:48,651 INFO hook.py line 689 2389709] bar : 0.1437 0.2403 [2025-03-11 05:07:48,651 INFO hook.py line 689 2389709] toaster : 0.1254 0.2139 [2025-03-11 05:07:48,652 INFO hook.py line 689 2389709] bulletin board : 0.2765 0.4182 [2025-03-11 05:07:48,652 INFO hook.py line 689 2389709] ironing board : 0.1235 0.1346 [2025-03-11 05:07:48,652 INFO hook.py line 689 2389709] fireplace : 0.6103 0.6517 [2025-03-11 05:07:48,652 INFO hook.py line 689 2389709] soap dish : 0.3727 0.5300 [2025-03-11 05:07:48,652 INFO hook.py line 689 2389709] kitchen counter: 0.3867 0.4403 [2025-03-11 05:07:48,652 INFO hook.py line 689 2389709] doorframe : 0.4012 0.7081 [2025-03-11 05:07:48,653 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3633 0.4490 [2025-03-11 05:07:48,653 INFO hook.py line 689 2389709] mini fridge : 0.1928 0.2296 [2025-03-11 05:07:48,653 INFO hook.py line 689 2389709] fire extinguisher: 0.2671 0.3366 [2025-03-11 05:07:48,653 INFO hook.py line 689 2389709] ball : 0.5374 0.9456 [2025-03-11 05:07:48,653 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 05:07:48,653 INFO hook.py line 689 2389709] shower curtain rod: 0.3853 0.9272 [2025-03-11 05:07:48,654 INFO hook.py line 689 2389709] water cooler : 0.3479 0.7239 [2025-03-11 05:07:48,654 INFO hook.py line 689 2389709] paper cutter : 0.2215 0.2836 [2025-03-11 05:07:48,654 INFO hook.py line 689 2389709] tray : 0.0502 0.0962 [2025-03-11 05:07:48,654 INFO hook.py line 689 2389709] shower door : 0.2151 0.2464 [2025-03-11 05:07:48,654 INFO hook.py line 689 2389709] pillar : 0.0006 0.0006 [2025-03-11 05:07:48,655 INFO hook.py line 689 2389709] ledge : 0.1125 0.1215 [2025-03-11 05:07:48,655 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 05:07:48,656 INFO hook.py line 689 2389709] mouse : 0.0702 0.3587 [2025-03-11 05:07:48,656 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7963 0.8710 [2025-03-11 05:07:48,656 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 05:07:48,656 INFO hook.py line 689 2389709] cart : 0.2979 0.4653 [2025-03-11 05:07:48,657 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 05:07:48,658 INFO hook.py line 689 2389709] scale : 0.1012 0.1639 [2025-03-11 05:07:48,658 INFO hook.py line 689 2389709] tissue box : 0.1743 0.2257 [2025-03-11 05:07:48,659 INFO hook.py line 689 2389709] light switch : 0.0452 0.1169 [2025-03-11 05:07:48,659 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 05:07:48,659 INFO hook.py line 689 2389709] power outlet : 0.1027 0.1518 [2025-03-11 05:07:48,659 INFO hook.py line 689 2389709] decoration : 0.1885 0.2955 [2025-03-11 05:07:48,659 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 05:07:48,659 INFO hook.py line 689 2389709] projector : 0.0902 1.0000 [2025-03-11 05:07:48,660 INFO hook.py line 689 2389709] closet door : 0.0352 0.0370 [2025-03-11 05:07:48,660 INFO hook.py line 689 2389709] vacuum cleaner : 0.6156 0.6941 [2025-03-11 05:07:48,660 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 05:07:48,660 INFO hook.py line 689 2389709] plunger : 0.7966 0.9068 [2025-03-11 05:07:48,660 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 05:07:48,661 INFO hook.py line 689 2389709] headphones : 0.0107 0.0158 [2025-03-11 05:07:48,661 INFO hook.py line 689 2389709] dish rack : 0.8493 0.9425 [2025-03-11 05:07:48,661 INFO hook.py line 689 2389709] broom : 0.0652 0.0709 [2025-03-11 05:07:48,661 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 05:07:48,661 INFO hook.py line 689 2389709] range hood : 0.7821 0.9032 [2025-03-11 05:07:48,662 INFO hook.py line 689 2389709] dustpan : 0.1117 0.1981 [2025-03-11 05:07:48,662 INFO hook.py line 689 2389709] hair dryer : 0.0026 0.0040 [2025-03-11 05:07:48,662 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 05:07:48,662 INFO hook.py line 689 2389709] handicap bar : 0.0556 0.8466 [2025-03-11 05:07:48,663 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 05:07:48,663 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 05:07:48,663 INFO hook.py line 689 2389709] shower floor : 0.6367 0.6476 [2025-03-11 05:07:48,664 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 05:07:48,664 INFO hook.py line 689 2389709] mailbox : 0.3522 0.3535 [2025-03-11 05:07:48,665 INFO hook.py line 689 2389709] bowl : 0.0659 0.0931 [2025-03-11 05:07:48,665 INFO hook.py line 689 2389709] paper bag : 0.0914 0.1090 [2025-03-11 05:07:48,665 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 05:07:48,665 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 05:07:48,665 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 05:07:48,665 INFO hook.py line 689 2389709] divider : 0.2798 0.3150 [2025-03-11 05:07:48,666 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 05:07:48,666 INFO hook.py line 689 2389709] bathroom counter: 0.2461 0.2955 [2025-03-11 05:07:48,666 INFO hook.py line 689 2389709] object : 0.0369 0.0560 [2025-03-11 05:07:48,666 INFO hook.py line 689 2389709] bathroom vanity: 0.4907 0.8297 [2025-03-11 05:07:48,666 INFO hook.py line 689 2389709] closet wall : 0.0085 0.0113 [2025-03-11 05:07:48,666 INFO hook.py line 689 2389709] laundry hamper : 0.0637 0.0699 [2025-03-11 05:07:48,666 INFO hook.py line 689 2389709] bathroom stall door: 0.4846 0.7187 [2025-03-11 05:07:48,666 INFO hook.py line 689 2389709] ceiling light : 0.3550 0.4820 [2025-03-11 05:07:48,666 INFO hook.py line 689 2389709] trash bin : 0.3382 0.5352 [2025-03-11 05:07:48,667 INFO hook.py line 689 2389709] dumbbell : 0.6008 0.9751 [2025-03-11 05:07:48,667 INFO hook.py line 689 2389709] stair rail : 0.1075 0.1213 [2025-03-11 05:07:48,667 INFO hook.py line 689 2389709] tube : 0.0359 0.0591 [2025-03-11 05:07:48,667 INFO hook.py line 689 2389709] bathroom cabinet: 0.2653 0.2875 [2025-03-11 05:07:48,667 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 05:07:48,667 INFO hook.py line 689 2389709] closet rod : 0.3484 0.8811 [2025-03-11 05:07:48,667 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] shower head : 0.2382 0.2647 [2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] keyboard piano : 0.0282 0.0382 [2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] case of water bottles: 0.0218 0.0220 [2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] coat rack : 0.0131 0.0356 [2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] calendar : 0.0010 0.0014 [2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] mattress : 0.1254 0.1259 [2025-03-11 05:07:48,668 INFO hook.py line 690 2389709] ######################################## [2025-03-11 05:07:48,668 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2984/0.3972/0.8154. [2025-03-11 05:07:48,670 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 05:07:48,687 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3125 [2025-03-11 05:07:48,687 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 05:08:19,459 INFO hook.py line 566 2389709] Train: [70/100][50/300] Data 0.002 (0.002) Batch 0.486 (0.496) Remain 01:16:27 loss: 0.5441 Lr: 1.19284e-03 [2025-03-11 05:08:44,639 INFO hook.py line 566 2389709] Train: [70/100][100/300] Data 0.002 (0.002) Batch 0.541 (0.500) Remain 01:16:39 loss: 0.6498 Lr: 1.18112e-03 [2025-03-11 05:09:09,038 INFO hook.py line 566 2389709] Train: [70/100][150/300] Data 0.003 (0.002) Batch 0.476 (0.496) Remain 01:15:37 loss: 0.4402 Lr: 1.16944e-03 [2025-03-11 05:09:33,973 INFO hook.py line 566 2389709] Train: [70/100][200/300] Data 0.003 (0.002) Batch 0.520 (0.497) Remain 01:15:18 loss: 0.6551 Lr: 1.15779e-03 [2025-03-11 05:09:58,631 INFO hook.py line 566 2389709] Train: [70/100][250/300] Data 0.003 (0.002) Batch 0.535 (0.496) Remain 01:14:47 loss: 0.9250 Lr: 1.14619e-03 [2025-03-11 05:10:22,900 INFO hook.py line 566 2389709] Train: [70/100][300/300] Data 0.002 (0.002) Batch 0.414 (0.494) Remain 01:14:07 loss: 0.5712 Lr: 1.13463e-03 [2025-03-11 05:10:22,900 INFO misc.py line 135 2389709] Train result: loss: 0.5580 [2025-03-11 05:10:22,993 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 05:11:12,492 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.7719 [2025-03-11 05:11:12,537 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.5231 [2025-03-11 05:11:12,573 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5069 [2025-03-11 05:11:12,624 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4074 [2025-03-11 05:11:12,663 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.7895 [2025-03-11 05:11:12,723 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8070 [2025-03-11 05:11:12,776 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9040 [2025-03-11 05:11:12,807 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4323 [2025-03-11 05:11:12,856 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3073 [2025-03-11 05:11:12,892 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.4097 [2025-03-11 05:11:12,947 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2083 [2025-03-11 05:11:12,987 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.3700 [2025-03-11 05:11:13,036 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.2715 [2025-03-11 05:11:13,082 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.1962 [2025-03-11 05:11:13,118 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1510 [2025-03-11 05:11:13,165 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0792 [2025-03-11 05:11:13,203 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4389 [2025-03-11 05:11:13,245 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9592 [2025-03-11 05:11:13,298 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.7020 [2025-03-11 05:11:13,338 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5970 [2025-03-11 05:11:13,387 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7475 [2025-03-11 05:11:13,432 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6158 [2025-03-11 05:11:13,468 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.6287 [2025-03-11 05:11:13,522 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.8816 [2025-03-11 05:11:13,582 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5421 [2025-03-11 05:11:13,630 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.3190 [2025-03-11 05:11:13,686 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9447 [2025-03-11 05:11:13,730 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5766 [2025-03-11 05:11:13,765 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0832 [2025-03-11 05:11:13,825 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.1882 [2025-03-11 05:11:13,885 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6111 [2025-03-11 05:11:13,924 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.5903 [2025-03-11 05:11:13,982 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8049 [2025-03-11 05:11:14,030 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.3708 [2025-03-11 05:11:14,069 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2195 [2025-03-11 05:11:14,112 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4281 [2025-03-11 05:11:14,153 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.3822 [2025-03-11 05:11:14,188 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8533 [2025-03-11 05:11:14,258 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.6484 [2025-03-11 05:11:14,313 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4497 [2025-03-11 05:11:14,361 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3089 [2025-03-11 05:11:14,401 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4922 [2025-03-11 05:11:14,441 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.7484 [2025-03-11 05:11:14,504 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9495 [2025-03-11 05:11:14,540 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.6530 [2025-03-11 05:11:14,589 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1039 [2025-03-11 05:11:14,631 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.1486 [2025-03-11 05:11:14,670 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9841 [2025-03-11 05:11:14,705 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4944 [2025-03-11 05:11:14,738 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8800 [2025-03-11 05:11:14,773 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3599 [2025-03-11 05:11:14,812 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5326 [2025-03-11 05:11:14,844 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3755 [2025-03-11 05:11:14,880 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.6115 [2025-03-11 05:11:14,919 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4733 [2025-03-11 05:11:14,960 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9659 [2025-03-11 05:11:14,997 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.0466 [2025-03-11 05:11:15,023 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9244 [2025-03-11 05:11:15,065 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8561 [2025-03-11 05:11:15,106 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5072 [2025-03-11 05:11:15,135 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8107 [2025-03-11 05:11:15,177 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9465 [2025-03-11 05:11:15,218 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.5377 [2025-03-11 05:11:15,276 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6475 [2025-03-11 05:11:15,307 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1550 [2025-03-11 05:11:15,351 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7807 [2025-03-11 05:11:15,395 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0121 [2025-03-11 05:11:15,431 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9185 [2025-03-11 05:11:15,462 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4566 [2025-03-11 05:11:15,523 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7171 [2025-03-11 05:11:15,567 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7171 [2025-03-11 05:11:15,621 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.8725 [2025-03-11 05:11:15,675 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6098 [2025-03-11 05:11:15,719 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.3065 [2025-03-11 05:11:15,771 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5467 [2025-03-11 05:11:15,799 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0568 [2025-03-11 05:11:15,858 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5897 [2025-03-11 05:11:15,889 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9194 [2025-03-11 05:11:17,098 INFO hook.py line 674 2389709] ######################################## [2025-03-11 05:11:17,098 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 05:11:17,098 INFO hook.py line 680 2389709] ######################################## [2025-03-11 05:11:17,098 INFO hook.py line 689 2389709] wall : 0.7921 0.9155 [2025-03-11 05:11:17,099 INFO hook.py line 689 2389709] chair : 0.6777 0.7809 [2025-03-11 05:11:17,099 INFO hook.py line 689 2389709] floor : 0.9588 0.9846 [2025-03-11 05:11:17,099 INFO hook.py line 689 2389709] table : 0.6314 0.7410 [2025-03-11 05:11:17,099 INFO hook.py line 689 2389709] door : 0.6688 0.8223 [2025-03-11 05:11:17,099 INFO hook.py line 689 2389709] couch : 0.8117 0.9192 [2025-03-11 05:11:17,099 INFO hook.py line 689 2389709] cabinet : 0.3361 0.5228 [2025-03-11 05:11:17,099 INFO hook.py line 689 2389709] shelf : 0.3383 0.4658 [2025-03-11 05:11:17,099 INFO hook.py line 689 2389709] desk : 0.5649 0.8489 [2025-03-11 05:11:17,099 INFO hook.py line 689 2389709] office chair : 0.2532 0.5549 [2025-03-11 05:11:17,099 INFO hook.py line 689 2389709] bed : 0.7723 0.8357 [2025-03-11 05:11:17,099 INFO hook.py line 689 2389709] pillow : 0.5423 0.7805 [2025-03-11 05:11:17,099 INFO hook.py line 689 2389709] sink : 0.6639 0.7220 [2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] picture : 0.3758 0.5179 [2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] window : 0.5842 0.7660 [2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] toilet : 0.9250 0.9632 [2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] bookshelf : 0.4596 0.7414 [2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] monitor : 0.8167 0.8831 [2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] curtain : 0.7272 0.8404 [2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] book : 0.4247 0.5961 [2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] armchair : 0.4703 0.5569 [2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] coffee table : 0.7075 0.8492 [2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] box : 0.2971 0.3865 [2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] refrigerator : 0.6934 0.7622 [2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] lamp : 0.6792 0.7833 [2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] kitchen cabinet: 0.5788 0.6810 [2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] towel : 0.4656 0.6039 [2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] clothes : 0.1774 0.3648 [2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] tv : 0.8726 0.9087 [2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] nightstand : 0.6790 0.8173 [2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] counter : 0.2166 0.3719 [2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] dresser : 0.3102 0.4285 [2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] stool : 0.5943 0.7988 [2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] plant : 0.7001 0.9047 [2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] ceiling : 0.9307 0.9634 [2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] bathtub : 0.8749 0.8947 [2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] end table : 0.2441 0.3194 [2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] dining table : 0.0048 0.0052 [2025-03-11 05:11:17,102 INFO hook.py line 689 2389709] keyboard : 0.4209 0.5548 [2025-03-11 05:11:17,102 INFO hook.py line 689 2389709] bag : 0.2335 0.4040 [2025-03-11 05:11:17,102 INFO hook.py line 689 2389709] backpack : 0.5865 0.6553 [2025-03-11 05:11:17,102 INFO hook.py line 689 2389709] toilet paper : 0.4909 0.6337 [2025-03-11 05:11:17,102 INFO hook.py line 689 2389709] printer : 0.4884 0.5889 [2025-03-11 05:11:17,102 INFO hook.py line 689 2389709] tv stand : 0.4640 0.6030 [2025-03-11 05:11:17,102 INFO hook.py line 689 2389709] whiteboard : 0.4634 0.6267 [2025-03-11 05:11:17,102 INFO hook.py line 689 2389709] blanket : 0.0258 0.0363 [2025-03-11 05:11:17,102 INFO hook.py line 689 2389709] shower curtain : 0.6963 0.7692 [2025-03-11 05:11:17,102 INFO hook.py line 689 2389709] trash can : 0.6281 0.8361 [2025-03-11 05:11:17,102 INFO hook.py line 689 2389709] closet : 0.0803 0.1250 [2025-03-11 05:11:17,102 INFO hook.py line 689 2389709] stairs : 0.4415 0.6566 [2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] microwave : 0.4755 0.6944 [2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] stove : 0.5522 0.7981 [2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] shoe : 0.4402 0.4833 [2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] computer tower : 0.5559 0.8213 [2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] bottle : 0.0777 0.1418 [2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] bin : 0.0002 0.0003 [2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] ottoman : 0.4653 0.5593 [2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] bench : 0.3271 0.3679 [2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] board : 0.2039 0.3260 [2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] washing machine: 0.7525 0.9338 [2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] mirror : 0.3845 0.4715 [2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] copier : 0.8775 0.9324 [2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] sofa chair : 0.2165 0.4391 [2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] file cabinet : 0.4580 0.5313 [2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] fan : 0.3404 0.3431 [2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] laptop : 0.4860 0.6642 [2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] shower : 0.2371 0.3504 [2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] paper : 0.0440 0.0617 [2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] person : 0.3144 0.6654 [2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] paper towel dispenser: 0.5184 0.7983 [2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] oven : 0.0592 0.0626 [2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] blackboard : 0.5859 0.6626 [2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] piano : 0.7704 0.8932 [2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] suitcase : 0.5576 0.6191 [2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] rail : 0.0475 0.0510 [2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] radiator : 0.5943 0.6697 [2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] recycling bin : 0.4672 0.5554 [2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] wardrobe : 0.0796 0.1103 [2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] soap dispenser : 0.7789 0.9094 [2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] telephone : 0.3094 0.4065 [2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] bucket : 0.2552 0.7168 [2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] clock : 0.2915 0.3416 [2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] stand : 0.0007 0.0019 [2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] light : 0.0526 0.0813 [2025-03-11 05:11:17,106 INFO hook.py line 689 2389709] laundry basket : 0.0503 0.0506 [2025-03-11 05:11:17,106 INFO hook.py line 689 2389709] pipe : 0.0536 0.0762 [2025-03-11 05:11:17,106 INFO hook.py line 689 2389709] clothes dryer : 0.3928 0.4003 [2025-03-11 05:11:17,106 INFO hook.py line 689 2389709] guitar : 0.7829 0.8457 [2025-03-11 05:11:17,106 INFO hook.py line 689 2389709] toilet paper holder: 0.0195 0.1068 [2025-03-11 05:11:17,106 INFO hook.py line 689 2389709] seat : 0.0084 0.0096 [2025-03-11 05:11:17,106 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 05:11:17,106 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 05:11:17,106 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 05:11:17,106 INFO hook.py line 689 2389709] ladder : 0.4327 0.5375 [2025-03-11 05:11:17,106 INFO hook.py line 689 2389709] bathroom stall : 0.5781 0.7105 [2025-03-11 05:11:17,106 INFO hook.py line 689 2389709] shower wall : 0.4395 0.5462 [2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] cup : 0.2165 0.4538 [2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] jacket : 0.1432 0.1991 [2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] storage bin : 0.0084 0.0100 [2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] coffee maker : 0.5806 0.9964 [2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] dishwasher : 0.2558 0.4284 [2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] paper towel roll: 0.3194 0.3830 [2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] mat : 0.2121 0.2314 [2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] windowsill : 0.1980 0.2257 [2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] bar : 0.1489 0.2563 [2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] toaster : 0.3770 0.6323 [2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] bulletin board : 0.2987 0.5114 [2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] ironing board : 0.1616 0.1977 [2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] fireplace : 0.5910 0.6132 [2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] soap dish : 0.3717 0.5483 [2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] kitchen counter: 0.5342 0.6943 [2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] doorframe : 0.4028 0.6355 [2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4647 0.6463 [2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] mini fridge : 0.2815 0.3158 [2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] fire extinguisher: 0.1318 0.1876 [2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] ball : 0.5417 0.6285 [2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] shower curtain rod: 0.5062 0.8605 [2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] water cooler : 0.3027 0.3045 [2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] paper cutter : 0.2399 0.2766 [2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] tray : 0.0718 0.1702 [2025-03-11 05:11:17,109 INFO hook.py line 689 2389709] shower door : 0.1982 0.2837 [2025-03-11 05:11:17,109 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 05:11:17,109 INFO hook.py line 689 2389709] ledge : 0.0568 0.0805 [2025-03-11 05:11:17,109 INFO hook.py line 689 2389709] toaster oven : 0.2029 0.2210 [2025-03-11 05:11:17,109 INFO hook.py line 689 2389709] mouse : 0.0821 0.4167 [2025-03-11 05:11:17,109 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7438 0.8871 [2025-03-11 05:11:17,109 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 05:11:17,109 INFO hook.py line 689 2389709] cart : 0.2697 0.3241 [2025-03-11 05:11:17,109 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 05:11:17,109 INFO hook.py line 689 2389709] scale : 0.3501 0.8288 [2025-03-11 05:11:17,109 INFO hook.py line 689 2389709] tissue box : 0.2752 0.3993 [2025-03-11 05:11:17,109 INFO hook.py line 689 2389709] light switch : 0.0480 0.2769 [2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] power outlet : 0.1602 0.3340 [2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] decoration : 0.4164 0.6418 [2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] sign : 0.0002 0.0003 [2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] projector : 0.0608 0.4774 [2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] closet door : 0.0324 0.0345 [2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] vacuum cleaner : 0.7796 0.9806 [2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] plunger : 0.4000 0.9872 [2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] dish rack : 0.7757 0.9522 [2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] broom : 0.0520 0.0903 [2025-03-11 05:11:17,111 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 05:11:17,111 INFO hook.py line 689 2389709] range hood : 0.7324 0.9264 [2025-03-11 05:11:17,111 INFO hook.py line 689 2389709] dustpan : 0.0822 0.1502 [2025-03-11 05:11:17,111 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 05:11:17,111 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 05:11:17,111 INFO hook.py line 689 2389709] handicap bar : 0.0286 0.4150 [2025-03-11 05:11:17,111 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 05:11:17,111 INFO hook.py line 689 2389709] vent : 0.0567 0.1458 [2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] shower floor : 0.6776 0.9972 [2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] mailbox : 0.2615 0.2671 [2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] bowl : 0.0808 0.1637 [2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] paper bag : 0.0772 0.1034 [2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] projector screen: 0.0036 0.0036 [2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] divider : 0.2344 0.2533 [2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] bathroom counter: 0.1507 0.1595 [2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] object : 0.0479 0.0982 [2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] bathroom vanity: 0.4678 0.8335 [2025-03-11 05:11:17,113 INFO hook.py line 689 2389709] closet wall : 0.0206 0.0293 [2025-03-11 05:11:17,113 INFO hook.py line 689 2389709] laundry hamper : 0.1059 0.1203 [2025-03-11 05:11:17,113 INFO hook.py line 689 2389709] bathroom stall door: 0.5173 0.5917 [2025-03-11 05:11:17,113 INFO hook.py line 689 2389709] ceiling light : 0.4437 0.5273 [2025-03-11 05:11:17,113 INFO hook.py line 689 2389709] trash bin : 0.2754 0.4071 [2025-03-11 05:11:17,113 INFO hook.py line 689 2389709] dumbbell : 0.4523 0.9720 [2025-03-11 05:11:17,113 INFO hook.py line 689 2389709] stair rail : 0.0916 0.0987 [2025-03-11 05:11:17,113 INFO hook.py line 689 2389709] tube : 0.0906 0.1454 [2025-03-11 05:11:17,113 INFO hook.py line 689 2389709] bathroom cabinet: 0.2366 0.3868 [2025-03-11 05:11:17,113 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 05:11:17,113 INFO hook.py line 689 2389709] closet rod : 0.4764 0.7342 [2025-03-11 05:11:17,113 INFO hook.py line 689 2389709] coffee kettle : 0.4091 0.6607 [2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] shower head : 0.3157 0.3534 [2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] case of water bottles: 0.0388 0.0405 [2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] fire alarm : 0.2836 0.8636 [2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 05:11:17,115 INFO hook.py line 689 2389709] mattress : 0.0034 0.0034 [2025-03-11 05:11:17,115 INFO hook.py line 690 2389709] ######################################## [2025-03-11 05:11:17,115 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3055/0.4096/0.8126. [2025-03-11 05:11:17,116 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 05:11:17,133 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3125 [2025-03-11 05:11:17,133 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 05:11:47,556 INFO hook.py line 566 2389709] Train: [71/100][50/300] Data 0.002 (0.003) Batch 0.472 (0.499) Remain 01:14:23 loss: 0.3720 Lr: 1.12311e-03 [2025-03-11 05:12:11,851 INFO hook.py line 566 2389709] Train: [71/100][100/300] Data 0.003 (0.002) Batch 0.438 (0.492) Remain 01:12:59 loss: 0.3960 Lr: 1.11164e-03 [2025-03-11 05:12:36,196 INFO hook.py line 566 2389709] Train: [71/100][150/300] Data 0.002 (0.002) Batch 0.559 (0.490) Remain 01:12:19 loss: 0.3568 Lr: 1.10020e-03 [2025-03-11 05:13:00,875 INFO hook.py line 566 2389709] Train: [71/100][200/300] Data 0.003 (0.002) Batch 0.478 (0.491) Remain 01:12:02 loss: 0.3579 Lr: 1.08881e-03 [2025-03-11 05:13:25,667 INFO hook.py line 566 2389709] Train: [71/100][250/300] Data 0.002 (0.002) Batch 0.451 (0.492) Remain 01:11:45 loss: 0.3232 Lr: 1.07746e-03 [2025-03-11 05:13:49,942 INFO hook.py line 566 2389709] Train: [71/100][300/300] Data 0.002 (0.002) Batch 0.495 (0.491) Remain 01:11:11 loss: 0.3393 Lr: 1.06615e-03 [2025-03-11 05:13:49,943 INFO misc.py line 135 2389709] Train result: loss: 0.5124 [2025-03-11 05:13:50,043 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 05:14:38,197 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4475 [2025-03-11 05:14:38,306 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.5329 [2025-03-11 05:14:38,344 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4526 [2025-03-11 05:14:38,393 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5482 [2025-03-11 05:14:38,445 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8915 [2025-03-11 05:14:38,516 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1723 [2025-03-11 05:14:38,571 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.1456 [2025-03-11 05:14:38,604 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.6212 [2025-03-11 05:14:38,649 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2056 [2025-03-11 05:14:38,686 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.0165 [2025-03-11 05:14:38,738 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1414 [2025-03-11 05:14:38,773 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0931 [2025-03-11 05:14:38,825 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.5748 [2025-03-11 05:14:38,871 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.1721 [2025-03-11 05:14:38,910 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.8931 [2025-03-11 05:14:38,956 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.3277 [2025-03-11 05:14:38,998 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5372 [2025-03-11 05:14:39,035 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8961 [2025-03-11 05:14:39,086 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.1927 [2025-03-11 05:14:39,121 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6430 [2025-03-11 05:14:39,159 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6821 [2025-03-11 05:14:39,208 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8044 [2025-03-11 05:14:39,243 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.9061 [2025-03-11 05:14:39,292 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0267 [2025-03-11 05:14:39,338 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.6112 [2025-03-11 05:14:39,380 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.0741 [2025-03-11 05:14:39,434 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8406 [2025-03-11 05:14:39,471 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6805 [2025-03-11 05:14:39,505 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0281 [2025-03-11 05:14:39,566 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.2624 [2025-03-11 05:14:39,629 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6585 [2025-03-11 05:14:39,685 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2737 [2025-03-11 05:14:39,753 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.6917 [2025-03-11 05:14:39,792 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.4592 [2025-03-11 05:14:39,829 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3371 [2025-03-11 05:14:39,872 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4386 [2025-03-11 05:14:39,920 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.8402 [2025-03-11 05:14:39,961 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8991 [2025-03-11 05:14:40,031 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.4095 [2025-03-11 05:14:40,085 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6714 [2025-03-11 05:14:40,145 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4954 [2025-03-11 05:14:40,179 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4944 [2025-03-11 05:14:40,214 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0827 [2025-03-11 05:14:40,277 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8392 [2025-03-11 05:14:40,321 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4749 [2025-03-11 05:14:40,373 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1466 [2025-03-11 05:14:40,415 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.6977 [2025-03-11 05:14:40,454 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9491 [2025-03-11 05:14:40,488 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.0997 [2025-03-11 05:14:40,521 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.1061 [2025-03-11 05:14:40,556 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.1760 [2025-03-11 05:14:40,595 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5476 [2025-03-11 05:14:40,627 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2749 [2025-03-11 05:14:40,663 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8247 [2025-03-11 05:14:40,701 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4625 [2025-03-11 05:14:40,742 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0419 [2025-03-11 05:14:40,780 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.1518 [2025-03-11 05:14:40,806 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9961 [2025-03-11 05:14:40,848 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9630 [2025-03-11 05:14:40,889 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6682 [2025-03-11 05:14:40,918 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7960 [2025-03-11 05:14:40,958 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9705 [2025-03-11 05:14:41,000 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1917 [2025-03-11 05:14:41,057 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7976 [2025-03-11 05:14:41,089 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.5062 [2025-03-11 05:14:41,132 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.0265 [2025-03-11 05:14:41,175 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8272 [2025-03-11 05:14:41,216 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.3913 [2025-03-11 05:14:41,249 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4638 [2025-03-11 05:14:41,310 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.1480 [2025-03-11 05:14:41,353 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.4328 [2025-03-11 05:14:41,410 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.8417 [2025-03-11 05:14:41,469 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5860 [2025-03-11 05:14:41,513 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.2292 [2025-03-11 05:14:41,564 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5564 [2025-03-11 05:14:41,593 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.6993 [2025-03-11 05:14:41,656 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4287 [2025-03-11 05:14:41,686 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.0268 [2025-03-11 05:14:42,914 INFO hook.py line 674 2389709] ######################################## [2025-03-11 05:14:42,914 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 05:14:42,915 INFO hook.py line 680 2389709] ######################################## [2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] wall : 0.7996 0.9158 [2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] chair : 0.7499 0.8882 [2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] floor : 0.9598 0.9815 [2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] table : 0.6342 0.7879 [2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] door : 0.6481 0.8142 [2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] couch : 0.7912 0.9327 [2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] cabinet : 0.3696 0.5563 [2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] shelf : 0.3887 0.5086 [2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] desk : 0.5592 0.7466 [2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] office chair : 0.1648 0.2121 [2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] bed : 0.7746 0.8748 [2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] pillow : 0.5359 0.7942 [2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] sink : 0.6684 0.8081 [2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] picture : 0.3942 0.5549 [2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] window : 0.5767 0.7841 [2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] toilet : 0.9397 0.9687 [2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] bookshelf : 0.5061 0.7553 [2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] monitor : 0.8347 0.9078 [2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] curtain : 0.7240 0.8385 [2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] book : 0.4096 0.5864 [2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] armchair : 0.5650 0.7466 [2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] coffee table : 0.6656 0.7798 [2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] box : 0.3002 0.4067 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] refrigerator : 0.5826 0.6191 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] lamp : 0.6693 0.7606 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] kitchen cabinet: 0.6262 0.7564 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] towel : 0.5323 0.7076 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] clothes : 0.1671 0.3731 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] tv : 0.8553 0.9180 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] nightstand : 0.6570 0.8460 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] counter : 0.2317 0.3611 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] dresser : 0.3121 0.3723 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] stool : 0.5466 0.7630 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] plant : 0.7796 0.8886 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] ceiling : 0.9307 0.9696 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] bathtub : 0.8502 0.9338 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] end table : 0.2558 0.3421 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] dining table : 0.0482 0.0638 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] keyboard : 0.4184 0.5952 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] bag : 0.1746 0.2208 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] backpack : 0.5655 0.6918 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] toilet paper : 0.4659 0.5685 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] printer : 0.4924 0.5897 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] tv stand : 0.3740 0.4009 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] whiteboard : 0.5089 0.6513 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] blanket : 0.0205 0.0261 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] shower curtain : 0.7422 0.8197 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] trash can : 0.5970 0.8761 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] closet : 0.1566 0.1948 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] stairs : 0.4467 0.7345 [2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] microwave : 0.5248 0.7951 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] stove : 0.5546 0.8437 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] shoe : 0.5160 0.7302 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] computer tower : 0.6156 0.7816 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] bottle : 0.0779 0.1508 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] ottoman : 0.3677 0.4611 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] bench : 0.3845 0.4376 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] board : 0.1697 0.2586 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] washing machine: 0.8698 0.9412 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] mirror : 0.3669 0.4771 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] copier : 0.7692 0.9406 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] sofa chair : 0.1449 0.1996 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] file cabinet : 0.4684 0.5816 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] fan : 0.3459 0.5859 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] laptop : 0.5194 0.6983 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] shower : 0.2729 0.2960 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] paper : 0.0351 0.0528 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] person : 0.2796 0.7336 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] paper towel dispenser: 0.6705 0.8294 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] oven : 0.1225 0.1343 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] blackboard : 0.5667 0.6281 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] piano : 0.4488 0.8534 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] suitcase : 0.5607 0.7262 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] rail : 0.0186 0.0195 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] radiator : 0.5980 0.6738 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] recycling bin : 0.4350 0.5845 [2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] wardrobe : 0.1259 0.1523 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] soap dispenser : 0.8052 0.8702 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] telephone : 0.2380 0.3845 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] bucket : 0.5174 0.7342 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] clock : 0.2377 0.3032 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] light : 0.0222 0.0315 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] laundry basket : 0.1408 0.1818 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] pipe : 0.0693 0.0895 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] clothes dryer : 0.6968 0.7145 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] guitar : 0.5256 0.8601 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] toilet paper holder: 0.0231 0.0750 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] ladder : 0.3564 0.3654 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] bathroom stall : 0.4846 0.5903 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] shower wall : 0.4491 0.6498 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] cup : 0.1849 0.2848 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] jacket : 0.1692 0.2234 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] storage bin : 0.0122 0.0152 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] coffee maker : 0.7754 0.8944 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] dishwasher : 0.2436 0.3751 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] paper towel roll: 0.3209 0.3621 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] mat : 0.3055 0.3447 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] windowsill : 0.1234 0.1459 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] bar : 0.1941 0.3881 [2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] toaster : 0.4631 0.8221 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] bulletin board : 0.2037 0.3064 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] ironing board : 0.0369 0.0413 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] fireplace : 0.3121 0.3207 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] soap dish : 0.3579 0.4773 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] kitchen counter: 0.5083 0.6425 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] doorframe : 0.3975 0.6322 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4132 0.5047 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] mini fridge : 0.2957 0.3232 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] fire extinguisher: 0.1709 0.1803 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] ball : 0.5591 0.7273 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] hat : 0.0007 0.0013 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] shower curtain rod: 0.3073 0.9240 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] water cooler : 0.5568 0.6344 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] paper cutter : 0.2516 0.3408 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] tray : 0.0535 0.0857 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] shower door : 0.1783 0.1945 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] pillar : 0.0091 0.0094 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] ledge : 0.0366 0.0553 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] mouse : 0.0855 0.2895 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6628 0.9261 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] cart : 0.3040 0.3641 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] scale : 0.8258 0.9401 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] tissue box : 0.2047 0.2329 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] light switch : 0.0437 0.1858 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] power outlet : 0.1622 0.4059 [2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] decoration : 0.2720 0.6726 [2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] sign : 0.0178 0.0219 [2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] projector : 0.1791 1.0000 [2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] closet door : 0.0248 0.0284 [2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] vacuum cleaner : 0.8317 0.9824 [2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] plunger : 0.1893 0.9806 [2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] headphones : 0.0171 0.0473 [2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] dish rack : 0.8497 0.9704 [2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] broom : 0.0292 0.0419 [2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] range hood : 0.7482 0.9222 [2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] dustpan : 0.0992 0.1673 [2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] handicap bar : 0.0336 0.4493 [2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] vent : 0.0464 0.0507 [2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] shower floor : 0.8669 0.9933 [2025-03-11 05:14:42,921 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 05:14:42,921 INFO hook.py line 689 2389709] mailbox : 0.4075 0.4189 [2025-03-11 05:14:42,921 INFO hook.py line 689 2389709] bowl : 0.1565 0.2148 [2025-03-11 05:14:42,921 INFO hook.py line 689 2389709] paper bag : 0.0589 0.0730 [2025-03-11 05:14:42,921 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 05:14:42,921 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 05:14:42,921 INFO hook.py line 689 2389709] projector screen: 0.0001 0.0001 [2025-03-11 05:14:42,922 INFO hook.py line 689 2389709] divider : 0.0148 0.0150 [2025-03-11 05:14:42,922 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 05:14:42,922 INFO hook.py line 689 2389709] bathroom counter: 0.2242 0.2445 [2025-03-11 05:14:42,922 INFO hook.py line 689 2389709] object : 0.0409 0.0746 [2025-03-11 05:14:42,922 INFO hook.py line 689 2389709] bathroom vanity: 0.5046 0.8115 [2025-03-11 05:14:42,922 INFO hook.py line 689 2389709] closet wall : 0.0466 0.0678 [2025-03-11 05:14:42,922 INFO hook.py line 689 2389709] laundry hamper : 0.0548 0.0642 [2025-03-11 05:14:42,922 INFO hook.py line 689 2389709] bathroom stall door: 0.6377 0.6684 [2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] ceiling light : 0.4391 0.5094 [2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] trash bin : 0.3496 0.5178 [2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] dumbbell : 0.7917 0.9651 [2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] stair rail : 0.1236 0.1437 [2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] tube : 0.0910 0.1136 [2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] bathroom cabinet: 0.2214 0.3099 [2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] closet rod : 0.3700 0.8951 [2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] coffee kettle : 0.3681 0.7200 [2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] shower head : 0.2742 0.3853 [2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] case of water bottles: 0.0110 0.0110 [2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 05:14:42,924 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 05:14:42,924 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 05:14:42,924 INFO hook.py line 689 2389709] fire alarm : 0.1225 0.9773 [2025-03-11 05:14:42,924 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 05:14:42,924 INFO hook.py line 689 2389709] calendar : 0.0009 0.0028 [2025-03-11 05:14:42,924 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 05:14:42,924 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 05:14:42,924 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 05:14:42,924 INFO hook.py line 689 2389709] mattress : 0.1306 0.1308 [2025-03-11 05:14:42,924 INFO hook.py line 690 2389709] ######################################## [2025-03-11 05:14:42,924 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3087/0.4144/0.8229. [2025-03-11 05:14:42,925 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 05:14:42,943 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3125 [2025-03-11 05:14:42,944 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 05:15:13,675 INFO hook.py line 566 2389709] Train: [72/100][50/300] Data 0.003 (0.002) Batch 0.520 (0.497) Remain 01:11:35 loss: 0.4101 Lr: 1.05489e-03 [2025-03-11 05:15:38,367 INFO hook.py line 566 2389709] Train: [72/100][100/300] Data 0.002 (0.002) Batch 0.532 (0.495) Remain 01:10:58 loss: 0.4413 Lr: 1.04367e-03 [2025-03-11 05:16:02,886 INFO hook.py line 566 2389709] Train: [72/100][150/300] Data 0.001 (0.002) Batch 0.485 (0.494) Remain 01:10:19 loss: 0.5901 Lr: 1.03249e-03 [2025-03-11 05:16:27,395 INFO hook.py line 566 2389709] Train: [72/100][200/300] Data 0.002 (0.002) Batch 0.445 (0.493) Remain 01:09:47 loss: 0.3569 Lr: 1.02136e-03 [2025-03-11 05:16:51,527 INFO hook.py line 566 2389709] Train: [72/100][250/300] Data 0.002 (0.002) Batch 0.395 (0.491) Remain 01:09:06 loss: 0.4720 Lr: 1.01028e-03 [2025-03-11 05:17:16,503 INFO hook.py line 566 2389709] Train: [72/100][300/300] Data 0.002 (0.002) Batch 0.453 (0.492) Remain 01:08:54 loss: 0.5991 Lr: 9.99239e-04 [2025-03-11 05:17:16,503 INFO misc.py line 135 2389709] Train result: loss: 0.5240 [2025-03-11 05:17:16,601 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 05:18:05,304 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4214 [2025-03-11 05:18:05,381 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3019 [2025-03-11 05:18:05,420 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4227 [2025-03-11 05:18:05,475 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5075 [2025-03-11 05:18:05,516 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8668 [2025-03-11 05:18:05,573 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0188 [2025-03-11 05:18:05,625 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7868 [2025-03-11 05:18:05,660 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4307 [2025-03-11 05:18:05,723 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2563 [2025-03-11 05:18:05,764 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1947 [2025-03-11 05:18:05,811 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1173 [2025-03-11 05:18:05,849 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2296 [2025-03-11 05:18:05,905 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.6840 [2025-03-11 05:18:05,951 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.7391 [2025-03-11 05:18:05,988 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0237 [2025-03-11 05:18:06,038 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0785 [2025-03-11 05:18:06,075 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3507 [2025-03-11 05:18:06,113 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1186 [2025-03-11 05:18:06,164 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5461 [2025-03-11 05:18:06,200 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7174 [2025-03-11 05:18:06,235 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7042 [2025-03-11 05:18:06,276 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.5627 [2025-03-11 05:18:06,307 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.2811 [2025-03-11 05:18:06,357 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.2497 [2025-03-11 05:18:06,402 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4509 [2025-03-11 05:18:06,456 INFO hook.py line 748 2389709] Test: [26/78] Loss 1.7640 [2025-03-11 05:18:06,518 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6757 [2025-03-11 05:18:06,580 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6585 [2025-03-11 05:18:06,615 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1128 [2025-03-11 05:18:06,676 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5026 [2025-03-11 05:18:06,734 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4950 [2025-03-11 05:18:06,770 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4405 [2025-03-11 05:18:06,833 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7915 [2025-03-11 05:18:06,871 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.2905 [2025-03-11 05:18:06,909 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2601 [2025-03-11 05:18:06,955 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4117 [2025-03-11 05:18:06,997 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.0462 [2025-03-11 05:18:07,029 INFO hook.py line 748 2389709] Test: [38/78] Loss 1.0846 [2025-03-11 05:18:07,099 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.7584 [2025-03-11 05:18:07,160 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3622 [2025-03-11 05:18:07,224 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3291 [2025-03-11 05:18:07,258 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.6392 [2025-03-11 05:18:07,299 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3403 [2025-03-11 05:18:07,360 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9299 [2025-03-11 05:18:07,396 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.3700 [2025-03-11 05:18:07,446 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0678 [2025-03-11 05:18:07,489 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9662 [2025-03-11 05:18:07,523 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9268 [2025-03-11 05:18:07,555 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.7256 [2025-03-11 05:18:07,590 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.7482 [2025-03-11 05:18:07,624 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0311 [2025-03-11 05:18:07,660 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6506 [2025-03-11 05:18:07,692 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3131 [2025-03-11 05:18:07,731 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.9077 [2025-03-11 05:18:07,770 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4094 [2025-03-11 05:18:07,814 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9233 [2025-03-11 05:18:07,849 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.1929 [2025-03-11 05:18:07,877 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7983 [2025-03-11 05:18:07,919 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9667 [2025-03-11 05:18:07,960 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6885 [2025-03-11 05:18:07,989 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8711 [2025-03-11 05:18:08,029 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.2290 [2025-03-11 05:18:08,065 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0555 [2025-03-11 05:18:08,125 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.0370 [2025-03-11 05:18:08,158 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4534 [2025-03-11 05:18:08,203 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.9912 [2025-03-11 05:18:08,243 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9341 [2025-03-11 05:18:08,284 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1378 [2025-03-11 05:18:08,318 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4407 [2025-03-11 05:18:08,380 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7653 [2025-03-11 05:18:08,427 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.1633 [2025-03-11 05:18:08,484 INFO hook.py line 748 2389709] Test: [72/78] Loss 2.1650 [2025-03-11 05:18:08,542 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6254 [2025-03-11 05:18:08,587 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.3463 [2025-03-11 05:18:08,639 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6960 [2025-03-11 05:18:08,667 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.1820 [2025-03-11 05:18:08,730 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5166 [2025-03-11 05:18:08,757 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3094 [2025-03-11 05:18:10,055 INFO hook.py line 674 2389709] ######################################## [2025-03-11 05:18:10,056 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 05:18:10,056 INFO hook.py line 680 2389709] ######################################## [2025-03-11 05:18:10,056 INFO hook.py line 689 2389709] wall : 0.7977 0.9183 [2025-03-11 05:18:10,056 INFO hook.py line 689 2389709] chair : 0.7285 0.8500 [2025-03-11 05:18:10,056 INFO hook.py line 689 2389709] floor : 0.9573 0.9769 [2025-03-11 05:18:10,056 INFO hook.py line 689 2389709] table : 0.6388 0.7885 [2025-03-11 05:18:10,056 INFO hook.py line 689 2389709] door : 0.6836 0.8058 [2025-03-11 05:18:10,057 INFO hook.py line 689 2389709] couch : 0.7885 0.9207 [2025-03-11 05:18:10,057 INFO hook.py line 689 2389709] cabinet : 0.3478 0.4774 [2025-03-11 05:18:10,057 INFO hook.py line 689 2389709] shelf : 0.4183 0.5740 [2025-03-11 05:18:10,057 INFO hook.py line 689 2389709] desk : 0.5546 0.7578 [2025-03-11 05:18:10,057 INFO hook.py line 689 2389709] office chair : 0.2226 0.3695 [2025-03-11 05:18:10,057 INFO hook.py line 689 2389709] bed : 0.7571 0.8528 [2025-03-11 05:18:10,057 INFO hook.py line 689 2389709] pillow : 0.5200 0.8295 [2025-03-11 05:18:10,057 INFO hook.py line 689 2389709] sink : 0.6845 0.8055 [2025-03-11 05:18:10,057 INFO hook.py line 689 2389709] picture : 0.3960 0.5254 [2025-03-11 05:18:10,057 INFO hook.py line 689 2389709] window : 0.6080 0.7623 [2025-03-11 05:18:10,058 INFO hook.py line 689 2389709] toilet : 0.9368 0.9688 [2025-03-11 05:18:10,058 INFO hook.py line 689 2389709] bookshelf : 0.4688 0.6463 [2025-03-11 05:18:10,058 INFO hook.py line 689 2389709] monitor : 0.8577 0.9399 [2025-03-11 05:18:10,058 INFO hook.py line 689 2389709] curtain : 0.7310 0.8630 [2025-03-11 05:18:10,058 INFO hook.py line 689 2389709] book : 0.4561 0.7065 [2025-03-11 05:18:10,058 INFO hook.py line 689 2389709] armchair : 0.5721 0.6936 [2025-03-11 05:18:10,058 INFO hook.py line 689 2389709] coffee table : 0.5549 0.7373 [2025-03-11 05:18:10,058 INFO hook.py line 689 2389709] box : 0.3187 0.5098 [2025-03-11 05:18:10,058 INFO hook.py line 689 2389709] refrigerator : 0.6337 0.8021 [2025-03-11 05:18:10,058 INFO hook.py line 689 2389709] lamp : 0.7010 0.8332 [2025-03-11 05:18:10,059 INFO hook.py line 689 2389709] kitchen cabinet: 0.6586 0.8042 [2025-03-11 05:18:10,059 INFO hook.py line 689 2389709] towel : 0.4412 0.6577 [2025-03-11 05:18:10,059 INFO hook.py line 689 2389709] clothes : 0.2041 0.4028 [2025-03-11 05:18:10,059 INFO hook.py line 689 2389709] tv : 0.8236 0.8865 [2025-03-11 05:18:10,059 INFO hook.py line 689 2389709] nightstand : 0.6768 0.7932 [2025-03-11 05:18:10,059 INFO hook.py line 689 2389709] counter : 0.3878 0.5618 [2025-03-11 05:18:10,059 INFO hook.py line 689 2389709] dresser : 0.4191 0.7019 [2025-03-11 05:18:10,059 INFO hook.py line 689 2389709] stool : 0.5502 0.7918 [2025-03-11 05:18:10,059 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 05:18:10,059 INFO hook.py line 689 2389709] plant : 0.7735 0.8769 [2025-03-11 05:18:10,059 INFO hook.py line 689 2389709] ceiling : 0.9231 0.9682 [2025-03-11 05:18:10,060 INFO hook.py line 689 2389709] bathtub : 0.8719 0.8969 [2025-03-11 05:18:10,060 INFO hook.py line 689 2389709] end table : 0.2468 0.3912 [2025-03-11 05:18:10,060 INFO hook.py line 689 2389709] dining table : 0.0677 0.0801 [2025-03-11 05:18:10,060 INFO hook.py line 689 2389709] keyboard : 0.4208 0.6049 [2025-03-11 05:18:10,060 INFO hook.py line 689 2389709] bag : 0.1565 0.2223 [2025-03-11 05:18:10,060 INFO hook.py line 689 2389709] backpack : 0.5800 0.6452 [2025-03-11 05:18:10,060 INFO hook.py line 689 2389709] toilet paper : 0.4990 0.5653 [2025-03-11 05:18:10,060 INFO hook.py line 689 2389709] printer : 0.4316 0.6481 [2025-03-11 05:18:10,060 INFO hook.py line 689 2389709] tv stand : 0.5681 0.6696 [2025-03-11 05:18:10,060 INFO hook.py line 689 2389709] whiteboard : 0.4689 0.6838 [2025-03-11 05:18:10,061 INFO hook.py line 689 2389709] blanket : 0.0222 0.0389 [2025-03-11 05:18:10,061 INFO hook.py line 689 2389709] shower curtain : 0.7128 0.8021 [2025-03-11 05:18:10,061 INFO hook.py line 689 2389709] trash can : 0.6291 0.8162 [2025-03-11 05:18:10,061 INFO hook.py line 689 2389709] closet : 0.1200 0.1537 [2025-03-11 05:18:10,061 INFO hook.py line 689 2389709] stairs : 0.5295 0.6255 [2025-03-11 05:18:10,061 INFO hook.py line 689 2389709] microwave : 0.5078 0.7429 [2025-03-11 05:18:10,061 INFO hook.py line 689 2389709] stove : 0.5953 0.8274 [2025-03-11 05:18:10,061 INFO hook.py line 689 2389709] shoe : 0.4899 0.7779 [2025-03-11 05:18:10,061 INFO hook.py line 689 2389709] computer tower : 0.5644 0.8468 [2025-03-11 05:18:10,061 INFO hook.py line 689 2389709] bottle : 0.1792 0.3051 [2025-03-11 05:18:10,062 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 05:18:10,062 INFO hook.py line 689 2389709] ottoman : 0.4188 0.4627 [2025-03-11 05:18:10,062 INFO hook.py line 689 2389709] bench : 0.3973 0.4437 [2025-03-11 05:18:10,062 INFO hook.py line 689 2389709] board : 0.1639 0.3279 [2025-03-11 05:18:10,062 INFO hook.py line 689 2389709] washing machine: 0.8653 0.9228 [2025-03-11 05:18:10,062 INFO hook.py line 689 2389709] mirror : 0.3966 0.4803 [2025-03-11 05:18:10,062 INFO hook.py line 689 2389709] copier : 0.8652 0.9346 [2025-03-11 05:18:10,062 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 05:18:10,062 INFO hook.py line 689 2389709] sofa chair : 0.2371 0.4449 [2025-03-11 05:18:10,062 INFO hook.py line 689 2389709] file cabinet : 0.5122 0.6489 [2025-03-11 05:18:10,064 INFO hook.py line 689 2389709] fan : 0.4596 0.6162 [2025-03-11 05:18:10,064 INFO hook.py line 689 2389709] laptop : 0.4739 0.8051 [2025-03-11 05:18:10,064 INFO hook.py line 689 2389709] shower : 0.2599 0.2759 [2025-03-11 05:18:10,064 INFO hook.py line 689 2389709] paper : 0.0009 0.0010 [2025-03-11 05:18:10,064 INFO hook.py line 689 2389709] person : 0.3761 0.5959 [2025-03-11 05:18:10,064 INFO hook.py line 689 2389709] paper towel dispenser: 0.5645 0.8592 [2025-03-11 05:18:10,064 INFO hook.py line 689 2389709] oven : 0.0761 0.1258 [2025-03-11 05:18:10,064 INFO hook.py line 689 2389709] blinds : 0.0123 0.0134 [2025-03-11 05:18:10,065 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 05:18:10,065 INFO hook.py line 689 2389709] plate : 0.0471 0.0722 [2025-03-11 05:18:10,065 INFO hook.py line 689 2389709] blackboard : 0.5403 0.6726 [2025-03-11 05:18:10,065 INFO hook.py line 689 2389709] piano : 0.4758 0.8672 [2025-03-11 05:18:10,065 INFO hook.py line 689 2389709] suitcase : 0.6311 0.8285 [2025-03-11 05:18:10,065 INFO hook.py line 689 2389709] rail : 0.0436 0.0615 [2025-03-11 05:18:10,065 INFO hook.py line 689 2389709] radiator : 0.6342 0.7044 [2025-03-11 05:18:10,065 INFO hook.py line 689 2389709] recycling bin : 0.4678 0.5982 [2025-03-11 05:18:10,065 INFO hook.py line 689 2389709] container : 0.0069 0.0087 [2025-03-11 05:18:10,065 INFO hook.py line 689 2389709] wardrobe : 0.1314 0.1879 [2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] soap dispenser : 0.8344 0.9219 [2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] telephone : 0.2463 0.4304 [2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] bucket : 0.3916 0.5819 [2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] clock : 0.2837 0.3375 [2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] light : 0.0226 0.0278 [2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] laundry basket : 0.1580 0.1863 [2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] pipe : 0.0327 0.0440 [2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] clothes dryer : 0.7128 0.7326 [2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] guitar : 0.8065 0.8420 [2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] toilet paper holder: 0.0890 0.1699 [2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] ladder : 0.4427 0.5259 [2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] bathroom stall : 0.4593 0.5281 [2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] shower wall : 0.4717 0.7171 [2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] cup : 0.2182 0.3706 [2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] jacket : 0.1565 0.2183 [2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] storage bin : 0.0190 0.0246 [2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] coffee maker : 0.7786 0.8934 [2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] dishwasher : 0.2663 0.4074 [2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] paper towel roll: 0.3015 0.3924 [2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] mat : 0.3006 0.3197 [2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] windowsill : 0.0847 0.0905 [2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] bar : 0.1240 0.2594 [2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] toaster : 0.4061 0.6736 [2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] bulletin board : 0.2424 0.4089 [2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] ironing board : 0.0463 0.0470 [2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] fireplace : 0.5770 0.6330 [2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] soap dish : 0.3426 0.4912 [2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] kitchen counter: 0.5961 0.7629 [2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] doorframe : 0.4118 0.6181 [2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3263 0.3879 [2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] mini fridge : 0.3822 0.4524 [2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] fire extinguisher: 0.2080 0.2447 [2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] ball : 0.3613 0.7735 [2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] shower curtain rod: 0.2549 0.9502 [2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] water cooler : 0.6769 0.9496 [2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] paper cutter : 0.2446 0.2907 [2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] tray : 0.0408 0.0619 [2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] shower door : 0.2647 0.3466 [2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] pillar : 0.0028 0.0028 [2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] ledge : 0.1074 0.1612 [2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] toaster oven : 0.0070 0.0077 [2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] mouse : 0.0379 0.3677 [2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6886 0.8364 [2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] cart : 0.1257 0.1519 [2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] scale : 0.3871 0.9624 [2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] tissue box : 0.1317 0.1918 [2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] light switch : 0.0288 0.0738 [2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] power outlet : 0.2096 0.3414 [2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] decoration : 0.2948 0.4075 [2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] sign : 0.0029 0.0038 [2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] projector : 0.0821 1.0000 [2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] closet door : 0.0274 0.0282 [2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] vacuum cleaner : 0.8327 0.9176 [2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] plunger : 0.6190 0.9708 [2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] dish rack : 0.7548 0.9625 [2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] broom : 0.0595 0.0687 [2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] range hood : 0.7283 0.9194 [2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] dustpan : 0.0859 0.1410 [2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] handicap bar : 0.0197 0.2094 [2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] vent : 0.0298 0.0489 [2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] shower floor : 0.8305 0.9928 [2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] mailbox : 0.5114 0.5239 [2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] bowl : 0.1606 0.2559 [2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] paper bag : 0.0411 0.0905 [2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] divider : 0.3506 0.4062 [2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] bathroom counter: 0.3421 0.4179 [2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] object : 0.0338 0.0523 [2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] bathroom vanity: 0.5445 0.7251 [2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] closet wall : 0.0153 0.0199 [2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] laundry hamper : 0.0071 0.0083 [2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] bathroom stall door: 0.6697 0.7825 [2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] ceiling light : 0.4000 0.5293 [2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] trash bin : 0.3072 0.4176 [2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] dumbbell : 0.6448 0.9812 [2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] stair rail : 0.0780 0.0880 [2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] tube : 0.0598 0.0661 [2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] bathroom cabinet: 0.4863 0.8438 [2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] closet rod : 0.4126 0.8703 [2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] coffee kettle : 0.3785 0.4326 [2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] shower head : 0.2748 0.4098 [2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] case of water bottles: 0.0329 0.0329 [2025-03-11 05:18:10,073 INFO hook.py line 689 2389709] coat rack : 0.0328 0.1928 [2025-03-11 05:18:10,073 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 05:18:10,073 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 05:18:10,073 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 05:18:10,073 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 05:18:10,073 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 05:18:10,073 INFO hook.py line 689 2389709] poster : 0.0153 0.0156 [2025-03-11 05:18:10,073 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 05:18:10,073 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 05:18:10,073 INFO hook.py line 689 2389709] mattress : 0.0604 0.0604 [2025-03-11 05:18:10,073 INFO hook.py line 690 2389709] ######################################## [2025-03-11 05:18:10,073 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3172/0.4238/0.8238. [2025-03-11 05:18:10,074 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 05:18:10,093 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.3172 [2025-03-11 05:18:10,093 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3172 [2025-03-11 05:18:10,093 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 05:18:41,071 INFO hook.py line 566 2389709] Train: [73/100][50/300] Data 0.002 (0.002) Batch 0.509 (0.484) Remain 01:07:21 loss: 0.3745 Lr: 9.88245e-04 [2025-03-11 05:19:05,872 INFO hook.py line 566 2389709] Train: [73/100][100/300] Data 0.002 (0.002) Batch 0.526 (0.490) Remain 01:07:48 loss: 0.6029 Lr: 9.77297e-04 [2025-03-11 05:19:30,487 INFO hook.py line 566 2389709] Train: [73/100][150/300] Data 0.002 (0.002) Batch 0.502 (0.491) Remain 01:07:29 loss: 0.5433 Lr: 9.66394e-04 [2025-03-11 05:19:54,870 INFO hook.py line 566 2389709] Train: [73/100][200/300] Data 0.002 (0.002) Batch 0.514 (0.490) Remain 01:06:58 loss: 0.6794 Lr: 9.55539e-04 [2025-03-11 05:20:19,923 INFO hook.py line 566 2389709] Train: [73/100][250/300] Data 0.002 (0.002) Batch 0.502 (0.492) Remain 01:06:52 loss: 0.3745 Lr: 9.44730e-04 [2025-03-11 05:20:43,761 INFO hook.py line 566 2389709] Train: [73/100][300/300] Data 0.002 (0.002) Batch 0.499 (0.490) Remain 01:06:06 loss: 0.3731 Lr: 9.33969e-04 [2025-03-11 05:20:43,762 INFO misc.py line 135 2389709] Train result: loss: 0.5103 [2025-03-11 05:20:43,881 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 05:21:40,471 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3913 [2025-03-11 05:21:40,517 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.0096 [2025-03-11 05:21:40,554 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5360 [2025-03-11 05:21:40,607 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4629 [2025-03-11 05:21:40,642 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8401 [2025-03-11 05:21:40,702 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1012 [2025-03-11 05:21:40,758 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.6745 [2025-03-11 05:21:40,797 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4668 [2025-03-11 05:21:40,849 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3996 [2025-03-11 05:21:40,887 INFO hook.py line 748 2389709] Test: [10/78] Loss 0.9604 [2025-03-11 05:21:40,941 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3902 [2025-03-11 05:21:40,989 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1357 [2025-03-11 05:21:41,046 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.0147 [2025-03-11 05:21:41,094 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.5647 [2025-03-11 05:21:41,133 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1932 [2025-03-11 05:21:41,184 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0768 [2025-03-11 05:21:41,227 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5816 [2025-03-11 05:21:41,264 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1622 [2025-03-11 05:21:41,314 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.7216 [2025-03-11 05:21:41,350 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7972 [2025-03-11 05:21:41,389 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.8031 [2025-03-11 05:21:41,433 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9800 [2025-03-11 05:21:41,469 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4872 [2025-03-11 05:21:41,518 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9496 [2025-03-11 05:21:41,564 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.9027 [2025-03-11 05:21:41,612 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2427 [2025-03-11 05:21:41,667 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.1413 [2025-03-11 05:21:41,705 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7290 [2025-03-11 05:21:41,738 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.2767 [2025-03-11 05:21:41,800 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.4273 [2025-03-11 05:21:41,861 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5199 [2025-03-11 05:21:41,902 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.5883 [2025-03-11 05:21:41,965 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7726 [2025-03-11 05:21:42,008 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.1771 [2025-03-11 05:21:42,048 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.5460 [2025-03-11 05:21:42,088 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4882 [2025-03-11 05:21:42,129 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.6425 [2025-03-11 05:21:42,159 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9178 [2025-03-11 05:21:42,226 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.7554 [2025-03-11 05:21:42,282 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5770 [2025-03-11 05:21:42,327 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3642 [2025-03-11 05:21:42,360 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4606 [2025-03-11 05:21:42,413 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0439 [2025-03-11 05:21:42,471 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8004 [2025-03-11 05:21:42,511 INFO hook.py line 748 2389709] Test: [45/78] Loss 2.0406 [2025-03-11 05:21:42,563 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0738 [2025-03-11 05:21:42,605 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.0200 [2025-03-11 05:21:42,639 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1598 [2025-03-11 05:21:42,674 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.6831 [2025-03-11 05:21:42,711 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8701 [2025-03-11 05:21:42,746 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2548 [2025-03-11 05:21:42,782 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7159 [2025-03-11 05:21:42,813 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4158 [2025-03-11 05:21:42,852 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.3636 [2025-03-11 05:21:42,894 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.5547 [2025-03-11 05:21:42,935 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0139 [2025-03-11 05:21:42,972 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.4304 [2025-03-11 05:21:43,001 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.8850 [2025-03-11 05:21:43,043 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9655 [2025-03-11 05:21:43,084 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5511 [2025-03-11 05:21:43,113 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.6963 [2025-03-11 05:21:43,153 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0985 [2025-03-11 05:21:43,190 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0527 [2025-03-11 05:21:43,247 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.0201 [2025-03-11 05:21:43,279 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3393 [2025-03-11 05:21:43,326 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.3197 [2025-03-11 05:21:43,366 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8951 [2025-03-11 05:21:43,407 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.4316 [2025-03-11 05:21:43,442 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3428 [2025-03-11 05:21:43,506 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.2674 [2025-03-11 05:21:43,549 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.3105 [2025-03-11 05:21:43,607 INFO hook.py line 748 2389709] Test: [72/78] Loss 2.1774 [2025-03-11 05:21:43,665 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7180 [2025-03-11 05:21:43,712 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.7437 [2025-03-11 05:21:43,767 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.7602 [2025-03-11 05:21:43,800 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.5127 [2025-03-11 05:21:43,862 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7698 [2025-03-11 05:21:43,888 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3967 [2025-03-11 05:21:45,275 INFO hook.py line 674 2389709] ######################################## [2025-03-11 05:21:45,275 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 05:21:45,275 INFO hook.py line 680 2389709] ######################################## [2025-03-11 05:21:45,275 INFO hook.py line 689 2389709] wall : 0.7806 0.9269 [2025-03-11 05:21:45,275 INFO hook.py line 689 2389709] chair : 0.6969 0.8168 [2025-03-11 05:21:45,275 INFO hook.py line 689 2389709] floor : 0.9571 0.9834 [2025-03-11 05:21:45,275 INFO hook.py line 689 2389709] table : 0.6353 0.7754 [2025-03-11 05:21:45,275 INFO hook.py line 689 2389709] door : 0.6403 0.8566 [2025-03-11 05:21:45,275 INFO hook.py line 689 2389709] couch : 0.7915 0.9434 [2025-03-11 05:21:45,275 INFO hook.py line 689 2389709] cabinet : 0.3550 0.5408 [2025-03-11 05:21:45,275 INFO hook.py line 689 2389709] shelf : 0.4009 0.5281 [2025-03-11 05:21:45,275 INFO hook.py line 689 2389709] desk : 0.5780 0.7933 [2025-03-11 05:21:45,275 INFO hook.py line 689 2389709] office chair : 0.1952 0.3486 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] bed : 0.7980 0.8584 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] pillow : 0.5884 0.7641 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] sink : 0.6846 0.7674 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] picture : 0.3706 0.4719 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] window : 0.5674 0.6700 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] toilet : 0.9253 0.9655 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] bookshelf : 0.4961 0.7266 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] monitor : 0.8455 0.9153 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] curtain : 0.6863 0.7979 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] book : 0.3887 0.4991 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] armchair : 0.5500 0.7448 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] coffee table : 0.5854 0.7187 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] box : 0.2500 0.3039 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] refrigerator : 0.6884 0.7505 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] lamp : 0.6403 0.7956 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] kitchen cabinet: 0.6422 0.7835 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] towel : 0.4707 0.6333 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] clothes : 0.2123 0.3631 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] tv : 0.8499 0.9003 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] nightstand : 0.7166 0.8169 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] counter : 0.2860 0.4952 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] dresser : 0.4172 0.6439 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] stool : 0.5670 0.7201 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] plant : 0.7628 0.8433 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] ceiling : 0.9283 0.9682 [2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] bathtub : 0.8641 0.9194 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] end table : 0.2337 0.3227 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] dining table : 0.0094 0.0101 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] keyboard : 0.4423 0.5798 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] bag : 0.1679 0.2260 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] backpack : 0.6211 0.7140 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] toilet paper : 0.4523 0.5561 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] printer : 0.4926 0.5955 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] tv stand : 0.4803 0.7661 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] whiteboard : 0.5023 0.7607 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] blanket : 0.0374 0.0518 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] shower curtain : 0.6606 0.7154 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] trash can : 0.6401 0.8205 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] closet : 0.1628 0.2185 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] stairs : 0.4896 0.6307 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] microwave : 0.5200 0.6192 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] stove : 0.5856 0.8744 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] shoe : 0.5048 0.6880 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] computer tower : 0.5947 0.8053 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] bottle : 0.1416 0.3215 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] bin : 0.0009 0.0011 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] ottoman : 0.2673 0.2763 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] bench : 0.3337 0.3601 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] board : 0.1779 0.3389 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] washing machine: 0.8619 0.9016 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] mirror : 0.3897 0.5060 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] copier : 0.8991 0.9101 [2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] sofa chair : 0.1483 0.2322 [2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] file cabinet : 0.4466 0.5370 [2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] fan : 0.2768 0.2938 [2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] laptop : 0.4821 0.6185 [2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] shower : 0.2307 0.2486 [2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] paper : 0.0303 0.0421 [2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] person : 0.3606 0.6033 [2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] paper towel dispenser: 0.5689 0.8709 [2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] oven : 0.0449 0.0484 [2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] blackboard : 0.6062 0.6721 [2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] piano : 0.5658 0.6230 [2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] suitcase : 0.6549 0.7819 [2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] rail : 0.0265 0.0370 [2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] radiator : 0.6488 0.6840 [2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] recycling bin : 0.4943 0.6019 [2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] container : 0.0027 0.0047 [2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] wardrobe : 0.1072 0.1257 [2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] soap dispenser : 0.7913 0.9269 [2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] telephone : 0.3057 0.4109 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] bucket : 0.4327 0.8242 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] clock : 0.2492 0.3144 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] light : 0.0415 0.0525 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] laundry basket : 0.0062 0.0074 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] pipe : 0.0308 0.0403 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] clothes dryer : 0.5749 0.5914 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] guitar : 0.6401 0.8843 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] ladder : 0.4866 0.5259 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] bathroom stall : 0.4703 0.6016 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] shower wall : 0.3926 0.5042 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] cup : 0.1766 0.2664 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] jacket : 0.1998 0.2972 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] storage bin : 0.0224 0.0284 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] coffee maker : 0.9031 0.9529 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] dishwasher : 0.3056 0.3826 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] paper towel roll: 0.3632 0.4468 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] mat : 0.1165 0.1215 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] windowsill : 0.0934 0.1024 [2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] bar : 0.1295 0.2680 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] toaster : 0.3813 0.6429 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] bulletin board : 0.2162 0.5156 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] ironing board : 0.0765 0.0879 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] fireplace : 0.3209 0.3319 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] soap dish : 0.3577 0.4946 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] kitchen counter: 0.4981 0.6148 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] doorframe : 0.4054 0.5675 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4113 0.5041 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] mini fridge : 0.1733 0.1803 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] fire extinguisher: 0.1755 0.1899 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] ball : 0.4929 0.6708 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] shower curtain rod: 0.3750 0.8947 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] water cooler : 0.6387 0.7196 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] paper cutter : 0.2382 0.2670 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] tray : 0.0731 0.1064 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] shower door : 0.1875 0.3238 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] pillar : 0.0023 0.0023 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] ledge : 0.0359 0.0614 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] toaster oven : 0.1452 0.1461 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] mouse : 0.0687 0.4449 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6789 0.8552 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] cart : 0.0921 0.0950 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] scale : 0.2347 0.9543 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] tissue box : 0.1995 0.2755 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] light switch : 0.0186 0.0562 [2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] power outlet : 0.1988 0.3924 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] decoration : 0.2254 0.3385 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] projector : 0.1141 0.8945 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] closet door : 0.0297 0.0312 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] vacuum cleaner : 0.8745 0.9671 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] plunger : 0.6375 0.9776 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] dish rack : 0.8285 0.9489 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] broom : 0.0394 0.0505 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] range hood : 0.6507 0.7561 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] dustpan : 0.1571 0.3769 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] water bottle : 0.0575 0.0972 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] handicap bar : 0.0111 0.1466 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] vent : 0.0614 0.2079 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] shower floor : 0.8922 0.9751 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] mailbox : 0.5032 0.5259 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] bowl : 0.1226 0.1378 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] paper bag : 0.1061 0.2512 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] divider : 0.4908 0.6122 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] bathroom counter: 0.2523 0.3167 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] object : 0.0211 0.0272 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] bathroom vanity: 0.4982 0.7883 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] closet wall : 0.0381 0.0598 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] laundry hamper : 0.0489 0.0610 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] bathroom stall door: 0.5286 0.6687 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] ceiling light : 0.2019 0.2234 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] trash bin : 0.2497 0.3259 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] dumbbell : 0.5448 0.9718 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] stair rail : 0.1068 0.1234 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] tube : 0.0316 0.0410 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] bathroom cabinet: 0.4110 0.6143 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] closet rod : 0.5876 0.8163 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] coffee kettle : 0.2762 0.4456 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] shower head : 0.3028 0.3711 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] case of water bottles: 0.0218 0.0223 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] coat rack : 0.0245 0.1524 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] fire alarm : 0.1724 0.7955 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] poster : 0.0001 0.0001 [2025-03-11 05:21:45,283 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 05:21:45,283 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 05:21:45,283 INFO hook.py line 689 2389709] mattress : 0.0682 0.0685 [2025-03-11 05:21:45,283 INFO hook.py line 690 2389709] ######################################## [2025-03-11 05:21:45,283 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3090/0.4054/0.8182. [2025-03-11 05:21:45,283 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 05:21:45,300 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3172 [2025-03-11 05:21:45,300 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 05:22:15,445 INFO hook.py line 566 2389709] Train: [74/100][50/300] Data 0.003 (0.002) Batch 0.509 (0.499) Remain 01:06:55 loss: 0.5409 Lr: 9.23255e-04 [2025-03-11 05:22:40,214 INFO hook.py line 566 2389709] Train: [74/100][100/300] Data 0.003 (0.002) Batch 0.492 (0.497) Remain 01:06:16 loss: 0.5849 Lr: 9.12589e-04 [2025-03-11 05:23:04,729 INFO hook.py line 566 2389709] Train: [74/100][150/300] Data 0.002 (0.002) Batch 0.455 (0.495) Remain 01:05:33 loss: 0.6388 Lr: 9.01971e-04 [2025-03-11 05:23:28,896 INFO hook.py line 566 2389709] Train: [74/100][200/300] Data 0.002 (0.002) Batch 0.433 (0.492) Remain 01:04:45 loss: 0.6841 Lr: 8.91402e-04 [2025-03-11 05:23:53,883 INFO hook.py line 566 2389709] Train: [74/100][250/300] Data 0.002 (0.002) Batch 0.468 (0.493) Remain 01:04:33 loss: 0.3862 Lr: 8.80882e-04 [2025-03-11 05:24:17,977 INFO hook.py line 566 2389709] Train: [74/100][300/300] Data 0.001 (0.002) Batch 0.475 (0.492) Remain 01:03:53 loss: 0.6080 Lr: 8.70411e-04 [2025-03-11 05:24:17,977 INFO misc.py line 135 2389709] Train result: loss: 0.5153 [2025-03-11 05:24:18,076 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 05:25:13,106 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5281 [2025-03-11 05:25:13,159 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2768 [2025-03-11 05:25:13,193 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4054 [2025-03-11 05:25:13,244 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4387 [2025-03-11 05:25:13,279 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9277 [2025-03-11 05:25:13,336 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.7387 [2025-03-11 05:25:13,389 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8757 [2025-03-11 05:25:13,424 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.6355 [2025-03-11 05:25:13,473 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1136 [2025-03-11 05:25:13,512 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2302 [2025-03-11 05:25:13,561 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2751 [2025-03-11 05:25:13,598 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0045 [2025-03-11 05:25:13,649 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.3408 [2025-03-11 05:25:13,692 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.9841 [2025-03-11 05:25:13,729 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1587 [2025-03-11 05:25:13,780 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1367 [2025-03-11 05:25:13,818 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4767 [2025-03-11 05:25:13,857 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9324 [2025-03-11 05:25:13,905 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.3497 [2025-03-11 05:25:13,954 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.9487 [2025-03-11 05:25:13,990 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.8334 [2025-03-11 05:25:14,031 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.0157 [2025-03-11 05:25:14,065 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3546 [2025-03-11 05:25:14,118 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.8403 [2025-03-11 05:25:14,170 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.6712 [2025-03-11 05:25:14,220 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1013 [2025-03-11 05:25:14,277 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.1430 [2025-03-11 05:25:14,317 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6968 [2025-03-11 05:25:14,348 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.3283 [2025-03-11 05:25:14,405 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.6641 [2025-03-11 05:25:14,466 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4702 [2025-03-11 05:25:14,505 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0598 [2025-03-11 05:25:14,562 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7799 [2025-03-11 05:25:14,606 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.2692 [2025-03-11 05:25:14,646 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1483 [2025-03-11 05:25:14,701 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4002 [2025-03-11 05:25:14,746 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.0661 [2025-03-11 05:25:14,775 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9042 [2025-03-11 05:25:14,845 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.1427 [2025-03-11 05:25:14,896 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4683 [2025-03-11 05:25:14,945 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.6078 [2025-03-11 05:25:14,987 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4331 [2025-03-11 05:25:15,027 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0205 [2025-03-11 05:25:15,091 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9370 [2025-03-11 05:25:15,140 INFO hook.py line 748 2389709] Test: [45/78] Loss 2.0869 [2025-03-11 05:25:15,198 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0993 [2025-03-11 05:25:15,241 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9846 [2025-03-11 05:25:15,280 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9745 [2025-03-11 05:25:15,314 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3620 [2025-03-11 05:25:15,347 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.7548 [2025-03-11 05:25:15,381 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3856 [2025-03-11 05:25:15,421 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.8035 [2025-03-11 05:25:15,453 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2215 [2025-03-11 05:25:15,489 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.3625 [2025-03-11 05:25:15,527 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3998 [2025-03-11 05:25:15,568 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.7601 [2025-03-11 05:25:15,607 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.9069 [2025-03-11 05:25:15,634 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9795 [2025-03-11 05:25:15,675 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9753 [2025-03-11 05:25:15,716 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6501 [2025-03-11 05:25:15,748 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.6577 [2025-03-11 05:25:15,788 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9311 [2025-03-11 05:25:15,830 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.8580 [2025-03-11 05:25:15,887 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9652 [2025-03-11 05:25:15,919 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2061 [2025-03-11 05:25:15,963 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7450 [2025-03-11 05:25:16,006 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8294 [2025-03-11 05:25:16,050 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9698 [2025-03-11 05:25:16,084 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4285 [2025-03-11 05:25:16,144 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.6684 [2025-03-11 05:25:16,188 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7319 [2025-03-11 05:25:16,245 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9166 [2025-03-11 05:25:16,303 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7608 [2025-03-11 05:25:16,346 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.1841 [2025-03-11 05:25:16,401 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.3965 [2025-03-11 05:25:16,438 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9478 [2025-03-11 05:25:16,501 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4930 [2025-03-11 05:25:16,531 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.6024 [2025-03-11 05:25:17,788 INFO hook.py line 674 2389709] ######################################## [2025-03-11 05:25:17,789 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 05:25:17,789 INFO hook.py line 680 2389709] ######################################## [2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] wall : 0.7986 0.9244 [2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] chair : 0.7061 0.8341 [2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] floor : 0.9603 0.9822 [2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] table : 0.6288 0.7310 [2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] door : 0.6811 0.8205 [2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] couch : 0.8088 0.9054 [2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] cabinet : 0.3647 0.5435 [2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] shelf : 0.4218 0.6030 [2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] desk : 0.5662 0.8299 [2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] office chair : 0.1751 0.3033 [2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] bed : 0.7798 0.9106 [2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] pillow : 0.5354 0.7932 [2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] sink : 0.6510 0.7376 [2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] picture : 0.3786 0.5227 [2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] window : 0.6216 0.7882 [2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] toilet : 0.9421 0.9685 [2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] bookshelf : 0.5073 0.6578 [2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] monitor : 0.8274 0.8873 [2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] curtain : 0.7113 0.8251 [2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] book : 0.4639 0.6862 [2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] armchair : 0.5351 0.7801 [2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] coffee table : 0.6140 0.7567 [2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] box : 0.2931 0.3957 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] refrigerator : 0.6778 0.7076 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] lamp : 0.6273 0.7850 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] kitchen cabinet: 0.6583 0.7881 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] towel : 0.4892 0.5962 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] clothes : 0.1986 0.4049 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] tv : 0.8666 0.9190 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] nightstand : 0.6685 0.8506 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] counter : 0.2917 0.3917 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] dresser : 0.4302 0.7292 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] stool : 0.5567 0.6617 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] plant : 0.7404 0.8906 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] ceiling : 0.9263 0.9702 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] bathtub : 0.8805 0.9330 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] end table : 0.2346 0.3318 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] dining table : 0.0395 0.0435 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] keyboard : 0.3940 0.4930 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] bag : 0.2185 0.2798 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] backpack : 0.6117 0.7221 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] toilet paper : 0.4801 0.5114 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] printer : 0.4408 0.6026 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] tv stand : 0.5652 0.6567 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] whiteboard : 0.5186 0.6648 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] blanket : 0.0342 0.0485 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] shower curtain : 0.6971 0.8072 [2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] trash can : 0.5721 0.7531 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] closet : 0.1612 0.2109 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] stairs : 0.4280 0.7420 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] microwave : 0.5161 0.7862 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] stove : 0.6428 0.8464 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] shoe : 0.4844 0.5429 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] computer tower : 0.5571 0.7510 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] bottle : 0.0958 0.1525 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] bin : 0.0002 0.0007 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] ottoman : 0.4041 0.4716 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] bench : 0.4247 0.5117 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] board : 0.1691 0.2672 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] washing machine: 0.7228 0.9501 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] mirror : 0.4165 0.5234 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] copier : 0.6413 0.9628 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] sofa chair : 0.1026 0.1353 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] file cabinet : 0.4256 0.5756 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] fan : 0.5148 0.5580 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] laptop : 0.4899 0.7733 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] shower : 0.3222 0.3615 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] paper : 0.0785 0.1207 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] person : 0.3325 0.5853 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] paper towel dispenser: 0.6015 0.8219 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] oven : 0.1273 0.1395 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] blinds : 0.0001 0.0001 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] blackboard : 0.5628 0.6603 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] piano : 0.3828 0.7458 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] suitcase : 0.6817 0.7886 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] rail : 0.0590 0.0656 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] radiator : 0.6625 0.7133 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] recycling bin : 0.3362 0.7166 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] wardrobe : 0.1037 0.1350 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] soap dispenser : 0.8438 0.8957 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] telephone : 0.2496 0.3603 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] bucket : 0.4085 0.5887 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] clock : 0.2230 0.2689 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] light : 0.0289 0.0364 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] laundry basket : 0.0006 0.0007 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] pipe : 0.0860 0.1150 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] clothes dryer : 0.4750 0.4817 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] guitar : 0.6127 0.6945 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] toilet paper holder: 0.0406 0.0909 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] column : 0.0002 0.0002 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] ladder : 0.5226 0.5977 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] bathroom stall : 0.4014 0.4358 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] shower wall : 0.4689 0.5836 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] cup : 0.1951 0.2725 [2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] jacket : 0.2563 0.2994 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] storage bin : 0.0771 0.1006 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] coffee maker : 0.6121 0.7421 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] dishwasher : 0.2573 0.5284 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] paper towel roll: 0.2929 0.3639 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] mat : 0.1885 0.2100 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] windowsill : 0.1306 0.1626 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] bar : 0.0764 0.2342 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] toaster : 0.6401 0.8034 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] bulletin board : 0.2866 0.4710 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] ironing board : 0.0990 0.1055 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] fireplace : 0.5550 0.5840 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] soap dish : 0.3487 0.5156 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] kitchen counter: 0.5810 0.7372 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] doorframe : 0.4198 0.5876 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3912 0.4775 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] mini fridge : 0.2997 0.3153 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] fire extinguisher: 0.2161 0.2161 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] ball : 0.6617 0.6916 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] shower curtain rod: 0.4262 0.9102 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] water cooler : 0.7952 0.8233 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] paper cutter : 0.2087 0.2560 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] tray : 0.0335 0.0388 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] shower door : 0.2447 0.2749 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] pillar : 0.0053 0.0053 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] ledge : 0.0522 0.0757 [2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] mouse : 0.1095 0.3677 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5011 0.5533 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] cart : 0.1125 0.1339 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] scale : 0.4883 0.8115 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] tissue box : 0.2006 0.2233 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] light switch : 0.0312 0.0621 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] power outlet : 0.2785 0.3193 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] decoration : 0.3703 0.6360 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] projector : 0.1065 1.0000 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] closet door : 0.0550 0.0680 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] vacuum cleaner : 0.9173 0.9772 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] plunger : 0.6350 0.9805 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] headphones : 0.0103 0.0106 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] dish rack : 0.7846 0.9461 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] broom : 0.0950 0.1131 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] range hood : 0.7250 0.9095 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] dustpan : 0.0963 0.1770 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] handicap bar : 0.0084 0.0817 [2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] shower floor : 0.8761 0.9596 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] mailbox : 0.4693 0.4806 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] bowl : 0.1919 0.2693 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] paper bag : 0.1415 0.1707 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] divider : 0.3681 0.3923 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] bathroom counter: 0.2903 0.4223 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] object : 0.0229 0.0342 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] bathroom vanity: 0.5078 0.7730 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] closet wall : 0.0104 0.0127 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] laundry hamper : 0.0151 0.0173 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] bathroom stall door: 0.5533 0.6702 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] ceiling light : 0.3224 0.3520 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] trash bin : 0.3052 0.4048 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] dumbbell : 0.6542 0.9844 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] stair rail : 0.2076 0.2536 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] tube : 0.0095 0.0107 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] bathroom cabinet: 0.3908 0.4754 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] closet rod : 0.5927 0.7163 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] shower head : 0.2916 0.3560 [2025-03-11 05:25:17,796 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 05:25:17,796 INFO hook.py line 689 2389709] case of water bottles: 0.0017 0.0017 [2025-03-11 05:25:17,796 INFO hook.py line 689 2389709] coat rack : 0.0097 0.0358 [2025-03-11 05:25:17,796 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 05:25:17,796 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 05:25:17,796 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 05:25:17,796 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 05:25:17,796 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 05:25:17,796 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 05:25:17,796 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 05:25:17,796 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 05:25:17,796 INFO hook.py line 689 2389709] mattress : 0.0569 0.0587 [2025-03-11 05:25:17,796 INFO hook.py line 690 2389709] ######################################## [2025-03-11 05:25:17,796 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3138/0.4026/0.8235. [2025-03-11 05:25:17,797 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 05:25:17,813 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3172 [2025-03-11 05:25:17,813 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 05:25:48,575 INFO hook.py line 566 2389709] Train: [75/100][50/300] Data 0.003 (0.002) Batch 0.521 (0.504) Remain 01:05:02 loss: 0.5865 Lr: 8.60197e-04 [2025-03-11 05:26:12,913 INFO hook.py line 566 2389709] Train: [75/100][100/300] Data 0.002 (0.002) Batch 0.450 (0.495) Remain 01:03:30 loss: 0.4107 Lr: 8.49824e-04 [2025-03-11 05:26:37,603 INFO hook.py line 566 2389709] Train: [75/100][150/300] Data 0.002 (0.002) Batch 0.451 (0.495) Remain 01:03:03 loss: 0.5186 Lr: 8.39502e-04 [2025-03-11 05:27:02,299 INFO hook.py line 566 2389709] Train: [75/100][200/300] Data 0.002 (0.002) Batch 0.532 (0.494) Remain 01:02:37 loss: 0.4415 Lr: 8.29230e-04 [2025-03-11 05:27:26,996 INFO hook.py line 566 2389709] Train: [75/100][250/300] Data 0.002 (0.002) Batch 0.454 (0.494) Remain 01:02:11 loss: 0.6338 Lr: 8.19008e-04 [2025-03-11 05:27:50,968 INFO hook.py line 566 2389709] Train: [75/100][300/300] Data 0.002 (0.002) Batch 0.484 (0.492) Remain 01:01:28 loss: 0.5181 Lr: 8.08838e-04 [2025-03-11 05:27:50,968 INFO misc.py line 135 2389709] Train result: loss: 0.4963 [2025-03-11 05:27:51,067 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 05:28:43,485 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5373 [2025-03-11 05:28:43,575 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.0374 [2025-03-11 05:28:43,621 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4497 [2025-03-11 05:28:43,671 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4681 [2025-03-11 05:28:43,706 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8779 [2025-03-11 05:28:43,768 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2038 [2025-03-11 05:28:43,820 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7252 [2025-03-11 05:28:43,850 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.5752 [2025-03-11 05:28:43,898 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3944 [2025-03-11 05:28:43,942 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1377 [2025-03-11 05:28:44,000 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1961 [2025-03-11 05:28:44,038 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2437 [2025-03-11 05:28:44,090 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.7903 [2025-03-11 05:28:44,132 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.8100 [2025-03-11 05:28:44,182 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.3807 [2025-03-11 05:28:44,233 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0931 [2025-03-11 05:28:44,276 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4676 [2025-03-11 05:28:44,317 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0920 [2025-03-11 05:28:44,364 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.3608 [2025-03-11 05:28:44,404 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7636 [2025-03-11 05:28:44,439 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7729 [2025-03-11 05:28:44,491 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9108 [2025-03-11 05:28:44,534 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5672 [2025-03-11 05:28:44,590 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.8528 [2025-03-11 05:28:44,635 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5821 [2025-03-11 05:28:44,683 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2690 [2025-03-11 05:28:44,740 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.1023 [2025-03-11 05:28:44,788 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8232 [2025-03-11 05:28:44,820 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1911 [2025-03-11 05:28:44,882 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.2714 [2025-03-11 05:28:44,940 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4550 [2025-03-11 05:28:44,976 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.7658 [2025-03-11 05:28:45,037 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8097 [2025-03-11 05:28:45,080 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.4125 [2025-03-11 05:28:45,121 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.4780 [2025-03-11 05:28:45,165 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4317 [2025-03-11 05:28:45,206 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.6066 [2025-03-11 05:28:45,236 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9320 [2025-03-11 05:28:45,306 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.3990 [2025-03-11 05:28:45,354 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5084 [2025-03-11 05:28:45,406 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3740 [2025-03-11 05:28:45,438 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4757 [2025-03-11 05:28:45,488 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.8932 [2025-03-11 05:28:45,546 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9495 [2025-03-11 05:28:45,583 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.6880 [2025-03-11 05:28:45,635 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0840 [2025-03-11 05:28:45,675 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7437 [2025-03-11 05:28:45,709 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0070 [2025-03-11 05:28:45,742 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4274 [2025-03-11 05:28:45,777 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.6153 [2025-03-11 05:28:45,805 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3804 [2025-03-11 05:28:45,841 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6420 [2025-03-11 05:28:45,868 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2905 [2025-03-11 05:28:45,903 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.0385 [2025-03-11 05:28:45,942 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3692 [2025-03-11 05:28:45,983 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.1627 [2025-03-11 05:28:46,016 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.0671 [2025-03-11 05:28:46,041 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.0283 [2025-03-11 05:28:46,080 INFO hook.py line 748 2389709] Test: [59/78] Loss 1.0022 [2025-03-11 05:28:46,116 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5926 [2025-03-11 05:28:46,141 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7354 [2025-03-11 05:28:46,178 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9713 [2025-03-11 05:28:46,214 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2012 [2025-03-11 05:28:46,272 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8746 [2025-03-11 05:28:46,300 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2476 [2025-03-11 05:28:46,343 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.1138 [2025-03-11 05:28:46,382 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1239 [2025-03-11 05:28:46,419 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1838 [2025-03-11 05:28:46,449 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3846 [2025-03-11 05:28:46,510 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.6589 [2025-03-11 05:28:46,554 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.0443 [2025-03-11 05:28:46,609 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9750 [2025-03-11 05:28:46,663 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6815 [2025-03-11 05:28:46,709 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.8978 [2025-03-11 05:28:46,760 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6730 [2025-03-11 05:28:46,788 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.1286 [2025-03-11 05:28:46,848 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4925 [2025-03-11 05:28:46,875 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2382 [2025-03-11 05:28:48,186 INFO hook.py line 674 2389709] ######################################## [2025-03-11 05:28:48,187 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 05:28:48,187 INFO hook.py line 680 2389709] ######################################## [2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] wall : 0.7941 0.9305 [2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] chair : 0.6995 0.8336 [2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] floor : 0.9582 0.9837 [2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] table : 0.6472 0.7597 [2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] door : 0.6572 0.7530 [2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] couch : 0.7924 0.9027 [2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] cabinet : 0.3718 0.5750 [2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] shelf : 0.3905 0.5403 [2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] desk : 0.5816 0.8003 [2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] office chair : 0.1673 0.2910 [2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] bed : 0.7685 0.8322 [2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] pillow : 0.5543 0.8146 [2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] sink : 0.6340 0.7635 [2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] picture : 0.3778 0.5049 [2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] window : 0.5845 0.7794 [2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] toilet : 0.9194 0.9769 [2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] bookshelf : 0.4795 0.6370 [2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] monitor : 0.8414 0.9202 [2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] curtain : 0.7241 0.8113 [2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] book : 0.4432 0.7159 [2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] armchair : 0.5366 0.7217 [2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] coffee table : 0.5953 0.7308 [2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] box : 0.3188 0.4435 [2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] refrigerator : 0.6816 0.7848 [2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] lamp : 0.6844 0.8229 [2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] kitchen cabinet: 0.6586 0.7490 [2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] towel : 0.5214 0.6756 [2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] clothes : 0.1773 0.3368 [2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] tv : 0.8258 0.9472 [2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] nightstand : 0.6867 0.8514 [2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] counter : 0.2820 0.4779 [2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] dresser : 0.3509 0.4648 [2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] stool : 0.5934 0.7057 [2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] plant : 0.7192 0.8762 [2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] ceiling : 0.9294 0.9707 [2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] bathtub : 0.8795 0.9147 [2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] end table : 0.2271 0.3383 [2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] dining table : 0.0727 0.0854 [2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] keyboard : 0.3984 0.6257 [2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] bag : 0.1137 0.1531 [2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] backpack : 0.6259 0.6751 [2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] toilet paper : 0.4882 0.6434 [2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] printer : 0.3718 0.6013 [2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] tv stand : 0.3186 0.7301 [2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] whiteboard : 0.5027 0.6014 [2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] blanket : 0.0392 0.0654 [2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] shower curtain : 0.6798 0.7545 [2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] trash can : 0.6264 0.8787 [2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] closet : 0.1114 0.1621 [2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] stairs : 0.5721 0.6491 [2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] microwave : 0.5082 0.7313 [2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] stove : 0.6288 0.8509 [2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] shoe : 0.4667 0.5294 [2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] computer tower : 0.5522 0.7432 [2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] bottle : 0.1063 0.2210 [2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] ottoman : 0.2351 0.2609 [2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] bench : 0.4337 0.5240 [2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] board : 0.1724 0.2733 [2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] washing machine: 0.8107 0.9365 [2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] mirror : 0.4135 0.5014 [2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] copier : 0.8627 0.9290 [2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] sofa chair : 0.1742 0.2817 [2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] file cabinet : 0.4277 0.5704 [2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] fan : 0.3792 0.4204 [2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] laptop : 0.5259 0.7063 [2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] shower : 0.2451 0.2586 [2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] paper : 0.0491 0.0706 [2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] person : 0.3122 0.6322 [2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] paper towel dispenser: 0.5877 0.7705 [2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] oven : 0.1124 0.1268 [2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] blinds : 0.0002 0.0003 [2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] plate : 0.1196 0.1911 [2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] blackboard : 0.5710 0.6763 [2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] piano : 0.6307 0.8664 [2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] suitcase : 0.5511 0.7711 [2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] rail : 0.0303 0.0361 [2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] radiator : 0.6419 0.7157 [2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] recycling bin : 0.4949 0.5542 [2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] container : 0.0073 0.0158 [2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] wardrobe : 0.1491 0.2036 [2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] soap dispenser : 0.8357 0.9256 [2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] telephone : 0.2362 0.4044 [2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] bucket : 0.2593 0.3486 [2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] clock : 0.2901 0.3645 [2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] light : 0.0647 0.0786 [2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] laundry basket : 0.0199 0.0250 [2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] pipe : 0.1003 0.1624 [2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] clothes dryer : 0.4871 0.5048 [2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] guitar : 0.8178 0.8712 [2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] toilet paper holder: 0.0684 0.2827 [2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] ladder : 0.4093 0.4178 [2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] bathroom stall : 0.4401 0.5707 [2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] shower wall : 0.3856 0.4475 [2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] cup : 0.1494 0.3372 [2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] jacket : 0.2381 0.3318 [2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] storage bin : 0.0069 0.0111 [2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] coffee maker : 0.8399 0.9938 [2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] dishwasher : 0.2677 0.4043 [2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] paper towel roll: 0.2560 0.3025 [2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] mat : 0.2880 0.3100 [2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] windowsill : 0.0803 0.0857 [2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] bar : 0.2010 0.3995 [2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] toaster : 0.6603 0.7902 [2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] bulletin board : 0.2716 0.4847 [2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] ironing board : 0.0059 0.0063 [2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] fireplace : 0.5394 0.5789 [2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] soap dish : 0.3707 0.5125 [2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] kitchen counter: 0.4867 0.5973 [2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] doorframe : 0.4231 0.6461 [2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3779 0.4499 [2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] mini fridge : 0.4788 0.5544 [2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] fire extinguisher: 0.2921 0.3642 [2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] ball : 0.3104 0.6545 [2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] shower curtain rod: 0.2828 0.9219 [2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] water cooler : 0.4825 0.9500 [2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] paper cutter : 0.3454 0.4347 [2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] tray : 0.0562 0.0923 [2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] shower door : 0.1965 0.2212 [2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] ledge : 0.0662 0.0925 [2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] mouse : 0.0882 0.5721 [2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6811 0.7902 [2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] cart : 0.1211 0.1337 [2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] scale : 0.4037 0.9423 [2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] tissue box : 0.1950 0.2706 [2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] light switch : 0.0435 0.0862 [2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] power outlet : 0.1408 0.4639 [2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] decoration : 0.5170 0.6318 [2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] projector : 0.1356 1.0000 [2025-03-11 05:28:48,195 INFO hook.py line 689 2389709] closet door : 0.1023 0.1162 [2025-03-11 05:28:48,195 INFO hook.py line 689 2389709] vacuum cleaner : 0.8775 0.9857 [2025-03-11 05:28:48,195 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 05:28:48,195 INFO hook.py line 689 2389709] plunger : 0.4410 0.9873 [2025-03-11 05:28:48,195 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 05:28:48,195 INFO hook.py line 689 2389709] headphones : 0.0385 0.1158 [2025-03-11 05:28:48,195 INFO hook.py line 689 2389709] dish rack : 0.8951 0.9660 [2025-03-11 05:28:48,195 INFO hook.py line 689 2389709] broom : 0.0692 0.1232 [2025-03-11 05:28:48,195 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 05:28:48,195 INFO hook.py line 689 2389709] range hood : 0.7751 0.8879 [2025-03-11 05:28:48,196 INFO hook.py line 689 2389709] dustpan : 0.0818 0.1667 [2025-03-11 05:28:48,196 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 05:28:48,196 INFO hook.py line 689 2389709] water bottle : 0.0022 0.0059 [2025-03-11 05:28:48,196 INFO hook.py line 689 2389709] handicap bar : 0.0278 0.3169 [2025-03-11 05:28:48,196 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 05:28:48,196 INFO hook.py line 689 2389709] vent : 0.0663 0.0957 [2025-03-11 05:28:48,196 INFO hook.py line 689 2389709] shower floor : 0.9086 0.9850 [2025-03-11 05:28:48,196 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 05:28:48,196 INFO hook.py line 689 2389709] mailbox : 0.4520 0.4762 [2025-03-11 05:28:48,196 INFO hook.py line 689 2389709] bowl : 0.2050 0.2794 [2025-03-11 05:28:48,196 INFO hook.py line 689 2389709] paper bag : 0.0749 0.0937 [2025-03-11 05:28:48,197 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 05:28:48,197 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 05:28:48,197 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 05:28:48,197 INFO hook.py line 689 2389709] divider : 0.4370 0.5152 [2025-03-11 05:28:48,197 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 05:28:48,197 INFO hook.py line 689 2389709] bathroom counter: 0.3172 0.4096 [2025-03-11 05:28:48,197 INFO hook.py line 689 2389709] object : 0.0425 0.0813 [2025-03-11 05:28:48,197 INFO hook.py line 689 2389709] bathroom vanity: 0.4964 0.8152 [2025-03-11 05:28:48,197 INFO hook.py line 689 2389709] closet wall : 0.0012 0.0016 [2025-03-11 05:28:48,197 INFO hook.py line 689 2389709] laundry hamper : 0.0549 0.0673 [2025-03-11 05:28:48,197 INFO hook.py line 689 2389709] bathroom stall door: 0.4448 0.5005 [2025-03-11 05:28:48,198 INFO hook.py line 689 2389709] ceiling light : 0.4316 0.5010 [2025-03-11 05:28:48,198 INFO hook.py line 689 2389709] trash bin : 0.2940 0.3775 [2025-03-11 05:28:48,198 INFO hook.py line 689 2389709] dumbbell : 0.6858 0.9779 [2025-03-11 05:28:48,198 INFO hook.py line 689 2389709] stair rail : 0.1442 0.1686 [2025-03-11 05:28:48,198 INFO hook.py line 689 2389709] tube : 0.0151 0.0169 [2025-03-11 05:28:48,198 INFO hook.py line 689 2389709] bathroom cabinet: 0.2407 0.3291 [2025-03-11 05:28:48,198 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 05:28:48,198 INFO hook.py line 689 2389709] closet rod : 0.6169 0.7685 [2025-03-11 05:28:48,198 INFO hook.py line 689 2389709] coffee kettle : 0.2997 0.6627 [2025-03-11 05:28:48,198 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 05:28:48,198 INFO hook.py line 689 2389709] shower head : 0.2435 0.3588 [2025-03-11 05:28:48,199 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 05:28:48,199 INFO hook.py line 689 2389709] case of water bottles: 0.0369 0.0370 [2025-03-11 05:28:48,199 INFO hook.py line 689 2389709] coat rack : 0.0172 0.0356 [2025-03-11 05:28:48,199 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 05:28:48,199 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 05:28:48,199 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 05:28:48,199 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 05:28:48,199 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 05:28:48,199 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 05:28:48,199 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 05:28:48,199 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 05:28:48,200 INFO hook.py line 689 2389709] mattress : 0.0056 0.0056 [2025-03-11 05:28:48,200 INFO hook.py line 690 2389709] ######################################## [2025-03-11 05:28:48,200 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3137/0.4149/0.8191. [2025-03-11 05:28:48,201 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 05:28:48,221 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3172 [2025-03-11 05:28:48,221 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 05:29:19,877 INFO hook.py line 566 2389709] Train: [76/100][50/300] Data 0.002 (0.002) Batch 0.440 (0.504) Remain 01:02:34 loss: 0.4747 Lr: 7.98719e-04 [2025-03-11 05:29:44,688 INFO hook.py line 566 2389709] Train: [76/100][100/300] Data 0.002 (0.002) Batch 0.433 (0.500) Remain 01:01:39 loss: 0.5693 Lr: 7.88652e-04 [2025-03-11 05:30:09,248 INFO hook.py line 566 2389709] Train: [76/100][150/300] Data 0.002 (0.002) Batch 0.486 (0.497) Remain 01:00:52 loss: 0.4140 Lr: 7.78636e-04 [2025-03-11 05:30:33,234 INFO hook.py line 566 2389709] Train: [76/100][200/300] Data 0.002 (0.002) Batch 0.508 (0.493) Remain 00:59:55 loss: 0.3960 Lr: 7.68673e-04 [2025-03-11 05:30:58,268 INFO hook.py line 566 2389709] Train: [76/100][250/300] Data 0.002 (0.002) Batch 0.494 (0.494) Remain 00:59:43 loss: 0.4458 Lr: 7.58763e-04 [2025-03-11 05:31:22,073 INFO hook.py line 566 2389709] Train: [76/100][300/300] Data 0.001 (0.002) Batch 0.441 (0.491) Remain 00:58:56 loss: 0.5040 Lr: 7.48906e-04 [2025-03-11 05:31:22,074 INFO misc.py line 135 2389709] Train result: loss: 0.4933 [2025-03-11 05:31:22,167 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 05:32:15,025 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4105 [2025-03-11 05:32:15,084 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2625 [2025-03-11 05:32:15,124 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.3958 [2025-03-11 05:32:15,177 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.3587 [2025-03-11 05:32:15,213 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8374 [2025-03-11 05:32:15,275 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1307 [2025-03-11 05:32:15,327 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8462 [2025-03-11 05:32:15,369 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.6310 [2025-03-11 05:32:15,423 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2173 [2025-03-11 05:32:15,463 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2786 [2025-03-11 05:32:15,514 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3131 [2025-03-11 05:32:15,552 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1365 [2025-03-11 05:32:15,604 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.0768 [2025-03-11 05:32:15,654 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.8542 [2025-03-11 05:32:15,693 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1092 [2025-03-11 05:32:15,742 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0810 [2025-03-11 05:32:15,780 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4920 [2025-03-11 05:32:15,825 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9105 [2025-03-11 05:32:15,870 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5184 [2025-03-11 05:32:15,907 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7000 [2025-03-11 05:32:15,942 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.8063 [2025-03-11 05:32:15,989 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7470 [2025-03-11 05:32:16,023 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3434 [2025-03-11 05:32:16,075 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9362 [2025-03-11 05:32:16,119 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4452 [2025-03-11 05:32:16,168 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4466 [2025-03-11 05:32:16,226 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9780 [2025-03-11 05:32:16,267 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8520 [2025-03-11 05:32:16,297 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.3610 [2025-03-11 05:32:16,352 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.3638 [2025-03-11 05:32:16,409 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.3612 [2025-03-11 05:32:16,448 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4427 [2025-03-11 05:32:16,505 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8468 [2025-03-11 05:32:16,548 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3134 [2025-03-11 05:32:16,588 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.4764 [2025-03-11 05:32:16,629 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2953 [2025-03-11 05:32:16,671 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.5237 [2025-03-11 05:32:16,704 INFO hook.py line 748 2389709] Test: [38/78] Loss 1.0117 [2025-03-11 05:32:16,786 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.5364 [2025-03-11 05:32:16,836 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.2156 [2025-03-11 05:32:16,884 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.5883 [2025-03-11 05:32:16,925 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4054 [2025-03-11 05:32:16,967 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2305 [2025-03-11 05:32:17,027 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8131 [2025-03-11 05:32:17,070 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.9365 [2025-03-11 05:32:17,123 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1262 [2025-03-11 05:32:17,166 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7595 [2025-03-11 05:32:17,200 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9888 [2025-03-11 05:32:17,235 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.9139 [2025-03-11 05:32:17,272 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8066 [2025-03-11 05:32:17,307 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.6178 [2025-03-11 05:32:17,343 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.8429 [2025-03-11 05:32:17,375 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4537 [2025-03-11 05:32:17,415 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2751 [2025-03-11 05:32:17,456 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.5687 [2025-03-11 05:32:17,499 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9813 [2025-03-11 05:32:17,532 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.3756 [2025-03-11 05:32:17,562 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9623 [2025-03-11 05:32:17,603 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9635 [2025-03-11 05:32:17,644 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5861 [2025-03-11 05:32:17,673 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8385 [2025-03-11 05:32:17,713 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.2083 [2025-03-11 05:32:17,749 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.9166 [2025-03-11 05:32:17,806 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.0503 [2025-03-11 05:32:17,838 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2471 [2025-03-11 05:32:17,881 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.2495 [2025-03-11 05:32:17,921 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1449 [2025-03-11 05:32:17,961 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.2234 [2025-03-11 05:32:17,994 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3782 [2025-03-11 05:32:18,055 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.5543 [2025-03-11 05:32:18,102 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.6873 [2025-03-11 05:32:18,160 INFO hook.py line 748 2389709] Test: [72/78] Loss 2.1895 [2025-03-11 05:32:18,218 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6261 [2025-03-11 05:32:18,264 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.2400 [2025-03-11 05:32:18,316 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6817 [2025-03-11 05:32:18,344 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9790 [2025-03-11 05:32:18,408 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4497 [2025-03-11 05:32:18,435 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3972 [2025-03-11 05:32:19,711 INFO hook.py line 674 2389709] ######################################## [2025-03-11 05:32:19,711 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 05:32:19,711 INFO hook.py line 680 2389709] ######################################## [2025-03-11 05:32:19,711 INFO hook.py line 689 2389709] wall : 0.7849 0.9296 [2025-03-11 05:32:19,712 INFO hook.py line 689 2389709] chair : 0.7197 0.8628 [2025-03-11 05:32:19,712 INFO hook.py line 689 2389709] floor : 0.9593 0.9819 [2025-03-11 05:32:19,712 INFO hook.py line 689 2389709] table : 0.6190 0.7214 [2025-03-11 05:32:19,712 INFO hook.py line 689 2389709] door : 0.6763 0.7738 [2025-03-11 05:32:19,712 INFO hook.py line 689 2389709] couch : 0.7709 0.9214 [2025-03-11 05:32:19,712 INFO hook.py line 689 2389709] cabinet : 0.3757 0.6210 [2025-03-11 05:32:19,712 INFO hook.py line 689 2389709] shelf : 0.3883 0.5048 [2025-03-11 05:32:19,712 INFO hook.py line 689 2389709] desk : 0.5699 0.8121 [2025-03-11 05:32:19,712 INFO hook.py line 689 2389709] office chair : 0.1706 0.2416 [2025-03-11 05:32:19,712 INFO hook.py line 689 2389709] bed : 0.7927 0.8880 [2025-03-11 05:32:19,713 INFO hook.py line 689 2389709] pillow : 0.5597 0.7318 [2025-03-11 05:32:19,713 INFO hook.py line 689 2389709] sink : 0.6693 0.7533 [2025-03-11 05:32:19,713 INFO hook.py line 689 2389709] picture : 0.3994 0.5363 [2025-03-11 05:32:19,713 INFO hook.py line 689 2389709] window : 0.5860 0.7391 [2025-03-11 05:32:19,713 INFO hook.py line 689 2389709] toilet : 0.9327 0.9548 [2025-03-11 05:32:19,713 INFO hook.py line 689 2389709] bookshelf : 0.4840 0.6602 [2025-03-11 05:32:19,713 INFO hook.py line 689 2389709] monitor : 0.8443 0.9037 [2025-03-11 05:32:19,713 INFO hook.py line 689 2389709] curtain : 0.6689 0.7626 [2025-03-11 05:32:19,713 INFO hook.py line 689 2389709] book : 0.4660 0.7545 [2025-03-11 05:32:19,713 INFO hook.py line 689 2389709] armchair : 0.4919 0.6554 [2025-03-11 05:32:19,713 INFO hook.py line 689 2389709] coffee table : 0.5839 0.7085 [2025-03-11 05:32:19,714 INFO hook.py line 689 2389709] box : 0.2715 0.3461 [2025-03-11 05:32:19,714 INFO hook.py line 689 2389709] refrigerator : 0.6814 0.7517 [2025-03-11 05:32:19,714 INFO hook.py line 689 2389709] lamp : 0.6575 0.7987 [2025-03-11 05:32:19,714 INFO hook.py line 689 2389709] kitchen cabinet: 0.6724 0.7704 [2025-03-11 05:32:19,714 INFO hook.py line 689 2389709] towel : 0.4678 0.6169 [2025-03-11 05:32:19,714 INFO hook.py line 689 2389709] clothes : 0.1968 0.4441 [2025-03-11 05:32:19,714 INFO hook.py line 689 2389709] tv : 0.8608 0.9114 [2025-03-11 05:32:19,714 INFO hook.py line 689 2389709] nightstand : 0.7190 0.8678 [2025-03-11 05:32:19,714 INFO hook.py line 689 2389709] counter : 0.2756 0.4907 [2025-03-11 05:32:19,714 INFO hook.py line 689 2389709] dresser : 0.4006 0.5701 [2025-03-11 05:32:19,714 INFO hook.py line 689 2389709] stool : 0.5696 0.6966 [2025-03-11 05:32:19,715 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 05:32:19,715 INFO hook.py line 689 2389709] plant : 0.7404 0.8840 [2025-03-11 05:32:19,715 INFO hook.py line 689 2389709] ceiling : 0.9325 0.9636 [2025-03-11 05:32:19,715 INFO hook.py line 689 2389709] bathtub : 0.8834 0.9122 [2025-03-11 05:32:19,715 INFO hook.py line 689 2389709] end table : 0.2158 0.3384 [2025-03-11 05:32:19,715 INFO hook.py line 689 2389709] dining table : 0.1049 0.1875 [2025-03-11 05:32:19,715 INFO hook.py line 689 2389709] keyboard : 0.4122 0.5937 [2025-03-11 05:32:19,715 INFO hook.py line 689 2389709] bag : 0.1831 0.2445 [2025-03-11 05:32:19,715 INFO hook.py line 689 2389709] backpack : 0.6297 0.7498 [2025-03-11 05:32:19,715 INFO hook.py line 689 2389709] toilet paper : 0.4847 0.5792 [2025-03-11 05:32:19,715 INFO hook.py line 689 2389709] printer : 0.4994 0.6405 [2025-03-11 05:32:19,716 INFO hook.py line 689 2389709] tv stand : 0.4522 0.6369 [2025-03-11 05:32:19,716 INFO hook.py line 689 2389709] whiteboard : 0.4784 0.7123 [2025-03-11 05:32:19,716 INFO hook.py line 689 2389709] blanket : 0.0468 0.0570 [2025-03-11 05:32:19,716 INFO hook.py line 689 2389709] shower curtain : 0.6768 0.7546 [2025-03-11 05:32:19,716 INFO hook.py line 689 2389709] trash can : 0.6390 0.8098 [2025-03-11 05:32:19,716 INFO hook.py line 689 2389709] closet : 0.1207 0.1649 [2025-03-11 05:32:19,716 INFO hook.py line 689 2389709] stairs : 0.4074 0.7084 [2025-03-11 05:32:19,716 INFO hook.py line 689 2389709] microwave : 0.4875 0.7063 [2025-03-11 05:32:19,716 INFO hook.py line 689 2389709] stove : 0.6535 0.8623 [2025-03-11 05:32:19,716 INFO hook.py line 689 2389709] shoe : 0.4672 0.6930 [2025-03-11 05:32:19,716 INFO hook.py line 689 2389709] computer tower : 0.6150 0.7601 [2025-03-11 05:32:19,717 INFO hook.py line 689 2389709] bottle : 0.1492 0.4116 [2025-03-11 05:32:19,717 INFO hook.py line 689 2389709] bin : 0.0008 0.0016 [2025-03-11 05:32:19,717 INFO hook.py line 689 2389709] ottoman : 0.2880 0.3009 [2025-03-11 05:32:19,717 INFO hook.py line 689 2389709] bench : 0.4425 0.4942 [2025-03-11 05:32:19,717 INFO hook.py line 689 2389709] board : 0.1561 0.1970 [2025-03-11 05:32:19,717 INFO hook.py line 689 2389709] washing machine: 0.8456 0.9416 [2025-03-11 05:32:19,717 INFO hook.py line 689 2389709] mirror : 0.3810 0.4882 [2025-03-11 05:32:19,717 INFO hook.py line 689 2389709] copier : 0.8769 0.9453 [2025-03-11 05:32:19,717 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 05:32:19,717 INFO hook.py line 689 2389709] sofa chair : 0.1125 0.1685 [2025-03-11 05:32:19,717 INFO hook.py line 689 2389709] file cabinet : 0.4505 0.5792 [2025-03-11 05:32:19,717 INFO hook.py line 689 2389709] fan : 0.3819 0.4446 [2025-03-11 05:32:19,718 INFO hook.py line 689 2389709] laptop : 0.5833 0.7065 [2025-03-11 05:32:19,718 INFO hook.py line 689 2389709] shower : 0.2264 0.2495 [2025-03-11 05:32:19,718 INFO hook.py line 689 2389709] paper : 0.0088 0.0111 [2025-03-11 05:32:19,718 INFO hook.py line 689 2389709] person : 0.3380 0.5061 [2025-03-11 05:32:19,718 INFO hook.py line 689 2389709] paper towel dispenser: 0.4779 0.7651 [2025-03-11 05:32:19,718 INFO hook.py line 689 2389709] oven : 0.1223 0.1569 [2025-03-11 05:32:19,718 INFO hook.py line 689 2389709] blinds : 0.0011 0.0013 [2025-03-11 05:32:19,718 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 05:32:19,718 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 05:32:19,718 INFO hook.py line 689 2389709] blackboard : 0.5587 0.7136 [2025-03-11 05:32:19,718 INFO hook.py line 689 2389709] piano : 0.5198 0.6981 [2025-03-11 05:32:19,719 INFO hook.py line 689 2389709] suitcase : 0.6475 0.7600 [2025-03-11 05:32:19,719 INFO hook.py line 689 2389709] rail : 0.0138 0.0149 [2025-03-11 05:32:19,719 INFO hook.py line 689 2389709] radiator : 0.6559 0.7363 [2025-03-11 05:32:19,719 INFO hook.py line 689 2389709] recycling bin : 0.4716 0.6864 [2025-03-11 05:32:19,719 INFO hook.py line 689 2389709] container : 0.0475 0.0816 [2025-03-11 05:32:19,719 INFO hook.py line 689 2389709] wardrobe : 0.1683 0.2023 [2025-03-11 05:32:19,719 INFO hook.py line 689 2389709] soap dispenser : 0.7414 0.9143 [2025-03-11 05:32:19,719 INFO hook.py line 689 2389709] telephone : 0.2597 0.3715 [2025-03-11 05:32:19,719 INFO hook.py line 689 2389709] bucket : 0.2694 0.3527 [2025-03-11 05:32:19,719 INFO hook.py line 689 2389709] clock : 0.2642 0.3116 [2025-03-11 05:32:19,719 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 05:32:19,720 INFO hook.py line 689 2389709] light : 0.0551 0.0641 [2025-03-11 05:32:19,720 INFO hook.py line 689 2389709] laundry basket : 0.1030 0.1241 [2025-03-11 05:32:19,720 INFO hook.py line 689 2389709] pipe : 0.0443 0.0604 [2025-03-11 05:32:19,720 INFO hook.py line 689 2389709] clothes dryer : 0.6423 0.6721 [2025-03-11 05:32:19,720 INFO hook.py line 689 2389709] guitar : 0.6992 0.8564 [2025-03-11 05:32:19,720 INFO hook.py line 689 2389709] toilet paper holder: 0.0535 0.1899 [2025-03-11 05:32:19,720 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 05:32:19,720 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 05:32:19,720 INFO hook.py line 689 2389709] column : 0.0021 0.0022 [2025-03-11 05:32:19,720 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 05:32:19,720 INFO hook.py line 689 2389709] ladder : 0.4282 0.4925 [2025-03-11 05:32:19,721 INFO hook.py line 689 2389709] bathroom stall : 0.4106 0.4950 [2025-03-11 05:32:19,721 INFO hook.py line 689 2389709] shower wall : 0.4528 0.6190 [2025-03-11 05:32:19,721 INFO hook.py line 689 2389709] cup : 0.2074 0.4439 [2025-03-11 05:32:19,721 INFO hook.py line 689 2389709] jacket : 0.1714 0.2554 [2025-03-11 05:32:19,721 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 [2025-03-11 05:32:19,721 INFO hook.py line 689 2389709] coffee maker : 0.7597 0.9909 [2025-03-11 05:32:19,721 INFO hook.py line 689 2389709] dishwasher : 0.4179 0.5524 [2025-03-11 05:32:19,721 INFO hook.py line 689 2389709] paper towel roll: 0.3234 0.3749 [2025-03-11 05:32:19,721 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 05:32:19,721 INFO hook.py line 689 2389709] mat : 0.1855 0.1865 [2025-03-11 05:32:19,721 INFO hook.py line 689 2389709] windowsill : 0.0707 0.0737 [2025-03-11 05:32:19,721 INFO hook.py line 689 2389709] bar : 0.1463 0.2964 [2025-03-11 05:32:19,722 INFO hook.py line 689 2389709] toaster : 0.4411 0.7744 [2025-03-11 05:32:19,722 INFO hook.py line 689 2389709] bulletin board : 0.3581 0.5726 [2025-03-11 05:32:19,722 INFO hook.py line 689 2389709] ironing board : 0.0644 0.0684 [2025-03-11 05:32:19,722 INFO hook.py line 689 2389709] fireplace : 0.6781 0.7090 [2025-03-11 05:32:19,722 INFO hook.py line 689 2389709] soap dish : 0.3557 0.4990 [2025-03-11 05:32:19,722 INFO hook.py line 689 2389709] kitchen counter: 0.5561 0.6758 [2025-03-11 05:32:19,722 INFO hook.py line 689 2389709] doorframe : 0.4435 0.6257 [2025-03-11 05:32:19,722 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4893 0.6183 [2025-03-11 05:32:19,722 INFO hook.py line 689 2389709] mini fridge : 0.2583 0.2698 [2025-03-11 05:32:19,722 INFO hook.py line 689 2389709] fire extinguisher: 0.2150 0.2238 [2025-03-11 05:32:19,722 INFO hook.py line 689 2389709] ball : 0.5727 0.9053 [2025-03-11 05:32:19,723 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 05:32:19,723 INFO hook.py line 689 2389709] shower curtain rod: 0.3143 0.9183 [2025-03-11 05:32:19,723 INFO hook.py line 689 2389709] water cooler : 0.7551 0.8580 [2025-03-11 05:32:19,723 INFO hook.py line 689 2389709] paper cutter : 0.2343 0.2870 [2025-03-11 05:32:19,723 INFO hook.py line 689 2389709] tray : 0.0724 0.1134 [2025-03-11 05:32:19,723 INFO hook.py line 689 2389709] shower door : 0.2090 0.2548 [2025-03-11 05:32:19,723 INFO hook.py line 689 2389709] pillar : 0.0016 0.0016 [2025-03-11 05:32:19,723 INFO hook.py line 689 2389709] ledge : 0.0379 0.0539 [2025-03-11 05:32:19,723 INFO hook.py line 689 2389709] toaster oven : 0.0088 0.0089 [2025-03-11 05:32:19,723 INFO hook.py line 689 2389709] mouse : 0.1102 0.5000 [2025-03-11 05:32:19,723 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6897 0.8476 [2025-03-11 05:32:19,724 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 05:32:19,724 INFO hook.py line 689 2389709] cart : 0.1209 0.1282 [2025-03-11 05:32:19,724 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 05:32:19,724 INFO hook.py line 689 2389709] scale : 0.3823 0.9414 [2025-03-11 05:32:19,724 INFO hook.py line 689 2389709] tissue box : 0.1299 0.1644 [2025-03-11 05:32:19,724 INFO hook.py line 689 2389709] light switch : 0.0449 0.2156 [2025-03-11 05:32:19,724 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 05:32:19,724 INFO hook.py line 689 2389709] power outlet : 0.2764 0.4365 [2025-03-11 05:32:19,724 INFO hook.py line 689 2389709] decoration : 0.3174 0.4543 [2025-03-11 05:32:19,724 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 05:32:19,724 INFO hook.py line 689 2389709] projector : 0.2938 1.0000 [2025-03-11 05:32:19,725 INFO hook.py line 689 2389709] closet door : 0.0242 0.0262 [2025-03-11 05:32:19,725 INFO hook.py line 689 2389709] vacuum cleaner : 0.8996 0.9734 [2025-03-11 05:32:19,725 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 05:32:19,725 INFO hook.py line 689 2389709] plunger : 0.7210 0.9744 [2025-03-11 05:32:19,725 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 05:32:19,725 INFO hook.py line 689 2389709] headphones : 0.0332 0.0591 [2025-03-11 05:32:19,725 INFO hook.py line 689 2389709] dish rack : 0.8238 0.9639 [2025-03-11 05:32:19,725 INFO hook.py line 689 2389709] broom : 0.0854 0.1057 [2025-03-11 05:32:19,725 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 05:32:19,725 INFO hook.py line 689 2389709] range hood : 0.7844 0.8961 [2025-03-11 05:32:19,725 INFO hook.py line 689 2389709] dustpan : 0.1193 0.1981 [2025-03-11 05:32:19,725 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 05:32:19,726 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 05:32:19,726 INFO hook.py line 689 2389709] handicap bar : 0.0556 0.9202 [2025-03-11 05:32:19,726 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 05:32:19,726 INFO hook.py line 689 2389709] vent : 0.0836 0.0883 [2025-03-11 05:32:19,726 INFO hook.py line 689 2389709] shower floor : 0.8868 0.9895 [2025-03-11 05:32:19,726 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 05:32:19,726 INFO hook.py line 689 2389709] mailbox : 0.3989 0.4094 [2025-03-11 05:32:19,726 INFO hook.py line 689 2389709] bowl : 0.0698 0.0760 [2025-03-11 05:32:19,726 INFO hook.py line 689 2389709] paper bag : 0.0667 0.1636 [2025-03-11 05:32:19,726 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 05:32:19,726 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 05:32:19,727 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 05:32:19,727 INFO hook.py line 689 2389709] divider : 0.4000 0.4621 [2025-03-11 05:32:19,727 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 05:32:19,727 INFO hook.py line 689 2389709] bathroom counter: 0.2395 0.2679 [2025-03-11 05:32:19,727 INFO hook.py line 689 2389709] object : 0.0492 0.0807 [2025-03-11 05:32:19,727 INFO hook.py line 689 2389709] bathroom vanity: 0.5150 0.7951 [2025-03-11 05:32:19,727 INFO hook.py line 689 2389709] closet wall : 0.0272 0.0375 [2025-03-11 05:32:19,727 INFO hook.py line 689 2389709] laundry hamper : 0.0247 0.0269 [2025-03-11 05:32:19,727 INFO hook.py line 689 2389709] bathroom stall door: 0.5401 0.6985 [2025-03-11 05:32:19,727 INFO hook.py line 689 2389709] ceiling light : 0.3686 0.4409 [2025-03-11 05:32:19,727 INFO hook.py line 689 2389709] trash bin : 0.3161 0.4084 [2025-03-11 05:32:19,728 INFO hook.py line 689 2389709] dumbbell : 0.7435 0.9812 [2025-03-11 05:32:19,728 INFO hook.py line 689 2389709] stair rail : 0.1119 0.1250 [2025-03-11 05:32:19,728 INFO hook.py line 689 2389709] tube : 0.0947 0.1074 [2025-03-11 05:32:19,728 INFO hook.py line 689 2389709] bathroom cabinet: 0.4873 0.5639 [2025-03-11 05:32:19,728 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 05:32:19,728 INFO hook.py line 689 2389709] closet rod : 0.4729 0.8022 [2025-03-11 05:32:19,728 INFO hook.py line 689 2389709] coffee kettle : 0.3504 0.5746 [2025-03-11 05:32:19,728 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 05:32:19,728 INFO hook.py line 689 2389709] shower head : 0.3159 0.3669 [2025-03-11 05:32:19,728 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 05:32:19,728 INFO hook.py line 689 2389709] case of water bottles: 0.0600 0.0600 [2025-03-11 05:32:19,728 INFO hook.py line 689 2389709] coat rack : 0.0019 0.0048 [2025-03-11 05:32:19,729 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 05:32:19,729 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 05:32:19,729 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 05:32:19,729 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 05:32:19,729 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 05:32:19,729 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 05:32:19,729 INFO hook.py line 689 2389709] potted plant : 0.0018 0.0028 [2025-03-11 05:32:19,729 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 05:32:19,729 INFO hook.py line 689 2389709] mattress : 0.0722 0.0723 [2025-03-11 05:32:19,729 INFO hook.py line 690 2389709] ######################################## [2025-03-11 05:32:19,729 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3186/0.4173/0.8207. [2025-03-11 05:32:19,732 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 05:32:19,751 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.3186 [2025-03-11 05:32:19,751 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3186 [2025-03-11 05:32:19,751 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 05:32:50,292 INFO hook.py line 566 2389709] Train: [77/100][50/300] Data 0.002 (0.002) Batch 0.551 (0.500) Remain 00:59:33 loss: 0.3303 Lr: 7.39101e-04 [2025-03-11 05:33:14,727 INFO hook.py line 566 2389709] Train: [77/100][100/300] Data 0.002 (0.002) Batch 0.445 (0.494) Remain 00:58:27 loss: 0.4770 Lr: 7.29351e-04 [2025-03-11 05:33:38,804 INFO hook.py line 566 2389709] Train: [77/100][150/300] Data 0.002 (0.002) Batch 0.456 (0.490) Remain 00:57:33 loss: 0.4580 Lr: 7.19654e-04 [2025-03-11 05:34:03,581 INFO hook.py line 566 2389709] Train: [77/100][200/300] Data 0.002 (0.002) Batch 0.520 (0.491) Remain 00:57:18 loss: 0.5448 Lr: 7.10011e-04 [2025-03-11 05:34:28,489 INFO hook.py line 566 2389709] Train: [77/100][250/300] Data 0.002 (0.002) Batch 0.539 (0.493) Remain 00:57:04 loss: 0.4397 Lr: 7.00422e-04 [2025-03-11 05:34:52,181 INFO hook.py line 566 2389709] Train: [77/100][300/300] Data 0.002 (0.002) Batch 0.490 (0.489) Remain 00:56:17 loss: 0.5960 Lr: 6.90888e-04 [2025-03-11 05:34:52,182 INFO misc.py line 135 2389709] Train result: loss: 0.4793 [2025-03-11 05:34:52,300 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 05:35:48,134 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4416 [2025-03-11 05:35:48,188 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.1979 [2025-03-11 05:35:48,221 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.3788 [2025-03-11 05:35:48,275 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4629 [2025-03-11 05:35:48,317 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9384 [2025-03-11 05:35:48,374 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.9600 [2025-03-11 05:35:48,428 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7644 [2025-03-11 05:35:48,458 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4759 [2025-03-11 05:35:48,504 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.0828 [2025-03-11 05:35:48,549 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2682 [2025-03-11 05:35:48,601 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1171 [2025-03-11 05:35:48,639 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.8969 [2025-03-11 05:35:48,691 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.9484 [2025-03-11 05:35:48,736 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.3620 [2025-03-11 05:35:48,775 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1285 [2025-03-11 05:35:48,829 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0722 [2025-03-11 05:35:48,873 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4650 [2025-03-11 05:35:48,912 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0845 [2025-03-11 05:35:48,963 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4139 [2025-03-11 05:35:49,006 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7592 [2025-03-11 05:35:49,045 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6057 [2025-03-11 05:35:49,090 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8164 [2025-03-11 05:35:49,126 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5603 [2025-03-11 05:35:49,179 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0363 [2025-03-11 05:35:49,229 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5031 [2025-03-11 05:35:49,281 INFO hook.py line 748 2389709] Test: [26/78] Loss 1.8402 [2025-03-11 05:35:49,338 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8653 [2025-03-11 05:35:49,378 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7934 [2025-03-11 05:35:49,415 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9648 [2025-03-11 05:35:49,478 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.4104 [2025-03-11 05:35:49,538 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4464 [2025-03-11 05:35:49,577 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4365 [2025-03-11 05:35:49,639 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8856 [2025-03-11 05:35:49,683 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3489 [2025-03-11 05:35:49,724 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1129 [2025-03-11 05:35:49,767 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2826 [2025-03-11 05:35:49,812 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.9306 [2025-03-11 05:35:49,847 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8661 [2025-03-11 05:35:49,925 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.5623 [2025-03-11 05:35:49,980 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3097 [2025-03-11 05:35:50,038 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3590 [2025-03-11 05:35:50,066 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4325 [2025-03-11 05:35:50,106 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3116 [2025-03-11 05:35:50,168 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8252 [2025-03-11 05:35:50,211 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.9786 [2025-03-11 05:35:50,261 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0461 [2025-03-11 05:35:50,303 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.0981 [2025-03-11 05:35:50,338 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0367 [2025-03-11 05:35:50,373 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3921 [2025-03-11 05:35:50,411 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.0242 [2025-03-11 05:35:50,446 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9554 [2025-03-11 05:35:50,482 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6600 [2025-03-11 05:35:50,515 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3032 [2025-03-11 05:35:50,555 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2509 [2025-03-11 05:35:50,597 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4313 [2025-03-11 05:35:50,638 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.2324 [2025-03-11 05:35:50,675 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.4203 [2025-03-11 05:35:50,705 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7821 [2025-03-11 05:35:50,747 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8100 [2025-03-11 05:35:50,788 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5486 [2025-03-11 05:35:50,818 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8005 [2025-03-11 05:35:50,858 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1925 [2025-03-11 05:35:50,895 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.3953 [2025-03-11 05:35:50,951 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7506 [2025-03-11 05:35:50,983 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4353 [2025-03-11 05:35:51,030 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.2319 [2025-03-11 05:35:51,069 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9416 [2025-03-11 05:35:51,110 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.4418 [2025-03-11 05:35:51,145 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4135 [2025-03-11 05:35:51,209 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0817 [2025-03-11 05:35:51,252 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.9819 [2025-03-11 05:35:51,310 INFO hook.py line 748 2389709] Test: [72/78] Loss 2.2039 [2025-03-11 05:35:51,367 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7525 [2025-03-11 05:35:51,415 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.7573 [2025-03-11 05:35:51,470 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6320 [2025-03-11 05:35:51,503 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9637 [2025-03-11 05:35:51,565 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5540 [2025-03-11 05:35:51,593 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.0447 [2025-03-11 05:35:52,821 INFO hook.py line 674 2389709] ######################################## [2025-03-11 05:35:52,821 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 05:35:52,821 INFO hook.py line 680 2389709] ######################################## [2025-03-11 05:35:52,821 INFO hook.py line 689 2389709] wall : 0.7961 0.9251 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] chair : 0.7346 0.8839 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] floor : 0.9609 0.9809 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] table : 0.6196 0.7928 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] door : 0.6651 0.8125 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] couch : 0.8096 0.9167 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] cabinet : 0.3835 0.6028 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] shelf : 0.3770 0.4923 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] desk : 0.5592 0.7088 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] office chair : 0.1328 0.1798 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] bed : 0.8112 0.8948 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] pillow : 0.5706 0.7792 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] sink : 0.6693 0.7856 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] picture : 0.3521 0.4553 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] window : 0.5929 0.7372 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] toilet : 0.9384 0.9724 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] bookshelf : 0.4744 0.6301 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] monitor : 0.8364 0.9195 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] curtain : 0.7163 0.8621 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] book : 0.4530 0.7668 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] armchair : 0.5284 0.7109 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] coffee table : 0.5954 0.7264 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] box : 0.2800 0.3924 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] refrigerator : 0.6703 0.7405 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] lamp : 0.6687 0.8019 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] kitchen cabinet: 0.6456 0.7483 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] towel : 0.4771 0.6538 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] clothes : 0.2118 0.3938 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] tv : 0.8262 0.9374 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] nightstand : 0.6905 0.8704 [2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] counter : 0.2910 0.5951 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] dresser : 0.4319 0.5765 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] stool : 0.5512 0.7971 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] plant : 0.7828 0.8890 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] ceiling : 0.9225 0.9602 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] bathtub : 0.8901 0.9203 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] end table : 0.2050 0.2862 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] dining table : 0.0383 0.0557 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] keyboard : 0.4280 0.5827 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] bag : 0.1392 0.1848 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] backpack : 0.6186 0.7043 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] toilet paper : 0.4954 0.5646 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] printer : 0.4861 0.6571 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] tv stand : 0.6517 0.8922 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] whiteboard : 0.4914 0.6791 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] blanket : 0.0316 0.0398 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] shower curtain : 0.6800 0.7627 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] trash can : 0.5939 0.8494 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] closet : 0.1003 0.1405 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] stairs : 0.5176 0.6694 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] microwave : 0.5664 0.7353 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] stove : 0.6361 0.7970 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] shoe : 0.4596 0.5542 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] computer tower : 0.5404 0.7913 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] bottle : 0.1047 0.2125 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] bin : 0.0004 0.0005 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] ottoman : 0.4187 0.4823 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] bench : 0.4852 0.5632 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] board : 0.1926 0.3004 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] washing machine: 0.8557 0.9341 [2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] mirror : 0.3820 0.4465 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] copier : 0.8385 0.9495 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] sofa chair : 0.1221 0.1859 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] file cabinet : 0.4894 0.6031 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] fan : 0.3157 0.4374 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] laptop : 0.5284 0.7313 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] shower : 0.2723 0.2886 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] paper : 0.0376 0.0544 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] person : 0.2791 0.5742 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] paper towel dispenser: 0.5172 0.7499 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] oven : 0.1563 0.2072 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] plate : 0.0160 0.0231 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] blackboard : 0.5967 0.6477 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] piano : 0.4475 0.9038 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] suitcase : 0.6149 0.8183 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] rail : 0.0408 0.0456 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] radiator : 0.6525 0.7170 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] recycling bin : 0.4483 0.6416 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] container : 0.0196 0.0335 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] wardrobe : 0.1760 0.2510 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] soap dispenser : 0.8208 0.9154 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] telephone : 0.2880 0.3609 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] bucket : 0.1753 0.2339 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] clock : 0.2429 0.2826 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] stand : 0.0004 0.0019 [2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] light : 0.0356 0.0372 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] laundry basket : 0.0125 0.0136 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] pipe : 0.0423 0.0744 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] clothes dryer : 0.6293 0.6537 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] guitar : 0.6826 0.8752 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] toilet paper holder: 0.0761 0.2808 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] seat : 0.0002 0.0003 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] ladder : 0.5731 0.6399 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] bathroom stall : 0.4481 0.5236 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] shower wall : 0.4825 0.6632 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] cup : 0.1777 0.3084 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] jacket : 0.1728 0.2203 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] storage bin : 0.0348 0.0531 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] coffee maker : 0.5497 0.9647 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] dishwasher : 0.3349 0.4308 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] paper towel roll: 0.2803 0.3011 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] mat : 0.3065 0.3223 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] windowsill : 0.1419 0.1623 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] bar : 0.1737 0.2698 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] toaster : 0.3971 0.6266 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] bulletin board : 0.2585 0.4814 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] ironing board : 0.0991 0.1172 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] fireplace : 0.6157 0.6809 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] soap dish : 0.3330 0.4509 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] kitchen counter: 0.3664 0.4147 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] doorframe : 0.4262 0.7222 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4474 0.6308 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] mini fridge : 0.3562 0.4043 [2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] fire extinguisher: 0.2945 0.3791 [2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] ball : 0.5769 0.6864 [2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] shower curtain rod: 0.3528 0.9039 [2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] water cooler : 0.5498 0.7181 [2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] paper cutter : 0.2317 0.2707 [2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] tray : 0.0740 0.1016 [2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] shower door : 0.2106 0.2547 [2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] pillar : 0.0189 0.0192 [2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] ledge : 0.0406 0.0489 [2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] mouse : 0.0660 0.5526 [2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7646 0.8947 [2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] cart : 0.1480 0.1549 [2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] scale : 0.6152 0.9625 [2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] tissue box : 0.1512 0.1776 [2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] light switch : 0.0312 0.0520 [2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] power outlet : 0.2461 0.3801 [2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] decoration : 0.2224 0.3300 [2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] sign : 0.0531 0.0650 [2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] projector : 0.0914 1.0000 [2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] closet door : 0.0591 0.0670 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] vacuum cleaner : 0.8782 0.9765 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] plunger : 0.4019 0.9803 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] headphones : 0.0437 0.0691 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] dish rack : 0.9014 0.9746 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] broom : 0.0462 0.0565 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] range hood : 0.7706 0.8849 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] dustpan : 0.1035 0.2648 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] handicap bar : 0.0579 0.9595 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] vent : 0.1077 0.1543 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] shower floor : 0.8345 0.9878 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] mailbox : 0.4611 0.4806 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] bowl : 0.0762 0.0903 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] paper bag : 0.0734 0.1049 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] divider : 0.4921 0.5916 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] bathroom counter: 0.2438 0.2724 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] object : 0.0525 0.0947 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] bathroom vanity: 0.4836 0.8025 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] closet wall : 0.0234 0.0317 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] laundry hamper : 0.0644 0.0785 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] bathroom stall door: 0.5755 0.6902 [2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] ceiling light : 0.4252 0.6898 [2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] trash bin : 0.2680 0.3550 [2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] dumbbell : 0.8997 0.9812 [2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] stair rail : 0.1395 0.1526 [2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] tube : 0.0953 0.1675 [2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] bathroom cabinet: 0.1506 0.2038 [2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] closet rod : 0.5385 0.7473 [2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] coffee kettle : 0.3537 0.5082 [2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] shower head : 0.3131 0.3989 [2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] case of water bottles: 0.0423 0.0423 [2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] fire alarm : 0.0514 0.4222 [2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] poster : 0.0164 0.0177 [2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] mattress : 0.0746 0.0746 [2025-03-11 05:35:52,829 INFO hook.py line 690 2389709] ######################################## [2025-03-11 05:35:52,829 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3172/0.4200/0.8230. [2025-03-11 05:35:52,830 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 05:35:52,834 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3186 [2025-03-11 05:35:52,835 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 05:36:22,337 INFO hook.py line 566 2389709] Train: [78/100][50/300] Data 0.002 (0.003) Batch 0.499 (0.494) Remain 00:56:20 loss: 0.3365 Lr: 6.81410e-04 [2025-03-11 05:36:47,403 INFO hook.py line 566 2389709] Train: [78/100][100/300] Data 0.004 (0.002) Batch 0.445 (0.498) Remain 00:56:23 loss: 0.2997 Lr: 6.71986e-04 [2025-03-11 05:37:12,733 INFO hook.py line 566 2389709] Train: [78/100][150/300] Data 0.003 (0.002) Batch 0.499 (0.501) Remain 00:56:19 loss: 0.2892 Lr: 6.62618e-04 [2025-03-11 05:37:37,267 INFO hook.py line 566 2389709] Train: [78/100][200/300] Data 0.002 (0.002) Batch 0.479 (0.498) Remain 00:55:37 loss: 0.4657 Lr: 6.53306e-04 [2025-03-11 05:38:01,360 INFO hook.py line 566 2389709] Train: [78/100][250/300] Data 0.002 (0.002) Batch 0.498 (0.495) Remain 00:54:50 loss: 0.3124 Lr: 6.44049e-04 [2025-03-11 05:38:25,310 INFO hook.py line 566 2389709] Train: [78/100][300/300] Data 0.002 (0.002) Batch 0.511 (0.492) Remain 00:54:08 loss: 0.4940 Lr: 6.34850e-04 [2025-03-11 05:38:25,311 INFO misc.py line 135 2389709] Train result: loss: 0.4813 [2025-03-11 05:38:25,425 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 05:39:13,862 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3483 [2025-03-11 05:39:13,969 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.6479 [2025-03-11 05:39:14,006 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.3607 [2025-03-11 05:39:14,057 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4467 [2025-03-11 05:39:14,094 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.7925 [2025-03-11 05:39:14,166 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.3611 [2025-03-11 05:39:14,221 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8397 [2025-03-11 05:39:14,250 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3822 [2025-03-11 05:39:14,301 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.0844 [2025-03-11 05:39:14,344 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1282 [2025-03-11 05:39:14,398 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3025 [2025-03-11 05:39:14,432 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0001 [2025-03-11 05:39:14,488 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.5885 [2025-03-11 05:39:14,531 INFO hook.py line 748 2389709] Test: [14/78] Loss 5.1236 [2025-03-11 05:39:14,571 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2952 [2025-03-11 05:39:14,619 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0674 [2025-03-11 05:39:14,656 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2731 [2025-03-11 05:39:14,693 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0775 [2025-03-11 05:39:14,736 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2027 [2025-03-11 05:39:14,772 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7634 [2025-03-11 05:39:14,814 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6296 [2025-03-11 05:39:14,854 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8850 [2025-03-11 05:39:14,884 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.6658 [2025-03-11 05:39:14,943 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.2916 [2025-03-11 05:39:14,988 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.3983 [2025-03-11 05:39:15,030 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1159 [2025-03-11 05:39:15,087 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9450 [2025-03-11 05:39:15,135 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7521 [2025-03-11 05:39:15,174 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1599 [2025-03-11 05:39:15,233 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.0535 [2025-03-11 05:39:15,291 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5955 [2025-03-11 05:39:15,334 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.3288 [2025-03-11 05:39:15,396 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8017 [2025-03-11 05:39:15,434 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.0340 [2025-03-11 05:39:15,471 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.5050 [2025-03-11 05:39:15,514 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4252 [2025-03-11 05:39:15,555 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.5740 [2025-03-11 05:39:15,593 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9603 [2025-03-11 05:39:15,661 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.5877 [2025-03-11 05:39:15,712 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.7915 [2025-03-11 05:39:15,760 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3918 [2025-03-11 05:39:15,794 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5489 [2025-03-11 05:39:15,834 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0908 [2025-03-11 05:39:15,899 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8809 [2025-03-11 05:39:15,934 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4654 [2025-03-11 05:39:15,987 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1249 [2025-03-11 05:39:16,028 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7036 [2025-03-11 05:39:16,066 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0171 [2025-03-11 05:39:16,100 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.9056 [2025-03-11 05:39:16,133 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.9487 [2025-03-11 05:39:16,165 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9792 [2025-03-11 05:39:16,205 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5257 [2025-03-11 05:39:16,232 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3687 [2025-03-11 05:39:16,271 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.7727 [2025-03-11 05:39:16,310 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.5267 [2025-03-11 05:39:16,354 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.2314 [2025-03-11 05:39:16,392 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.2978 [2025-03-11 05:39:16,421 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7806 [2025-03-11 05:39:16,463 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8965 [2025-03-11 05:39:16,499 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4426 [2025-03-11 05:39:16,527 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7306 [2025-03-11 05:39:16,564 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9334 [2025-03-11 05:39:16,606 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0077 [2025-03-11 05:39:16,666 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8239 [2025-03-11 05:39:16,695 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4216 [2025-03-11 05:39:16,738 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.4186 [2025-03-11 05:39:16,781 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9370 [2025-03-11 05:39:16,818 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.3570 [2025-03-11 05:39:16,849 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4054 [2025-03-11 05:39:16,909 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.9163 [2025-03-11 05:39:16,956 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.0733 [2025-03-11 05:39:17,011 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9629 [2025-03-11 05:39:17,065 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7569 [2025-03-11 05:39:17,108 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.9455 [2025-03-11 05:39:17,160 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5935 [2025-03-11 05:39:17,190 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0271 [2025-03-11 05:39:17,249 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7629 [2025-03-11 05:39:17,280 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2118 [2025-03-11 05:39:18,561 INFO hook.py line 674 2389709] ######################################## [2025-03-11 05:39:18,561 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 05:39:18,561 INFO hook.py line 680 2389709] ######################################## [2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] wall : 0.7940 0.9296 [2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] chair : 0.7422 0.8663 [2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] floor : 0.9571 0.9827 [2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] table : 0.6458 0.8033 [2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] door : 0.6750 0.8115 [2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] couch : 0.8032 0.9113 [2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] cabinet : 0.3689 0.5599 [2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] shelf : 0.3824 0.5338 [2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] desk : 0.5545 0.7021 [2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] office chair : 0.2054 0.2892 [2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] bed : 0.7892 0.8933 [2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] pillow : 0.5716 0.7721 [2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] sink : 0.6710 0.7803 [2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] picture : 0.3601 0.5022 [2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] window : 0.5830 0.7007 [2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] toilet : 0.9347 0.9698 [2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] bookshelf : 0.4574 0.6114 [2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] monitor : 0.8531 0.9174 [2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] curtain : 0.7336 0.8683 [2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] book : 0.4418 0.7792 [2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] armchair : 0.5348 0.7732 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] coffee table : 0.6295 0.7571 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] box : 0.2915 0.3915 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] refrigerator : 0.6694 0.7828 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] lamp : 0.6708 0.8251 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] kitchen cabinet: 0.6633 0.7726 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] towel : 0.5239 0.6941 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] clothes : 0.2017 0.3842 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] tv : 0.8641 0.9192 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] nightstand : 0.6776 0.8871 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] counter : 0.2781 0.4182 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] dresser : 0.3630 0.4789 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] stool : 0.6139 0.7615 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] plant : 0.7990 0.8583 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] ceiling : 0.9289 0.9605 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] bathtub : 0.8660 0.9324 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] end table : 0.2834 0.3977 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] dining table : 0.1055 0.1387 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] keyboard : 0.4368 0.5908 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] bag : 0.1920 0.2554 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] backpack : 0.6403 0.7451 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] toilet paper : 0.4610 0.5515 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] printer : 0.3713 0.6555 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] tv stand : 0.3659 0.4158 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] whiteboard : 0.5321 0.7246 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] blanket : 0.0119 0.0147 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] shower curtain : 0.7014 0.7861 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] trash can : 0.6203 0.8404 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] closet : 0.1058 0.1560 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] stairs : 0.4907 0.6889 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] microwave : 0.5847 0.8047 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] stove : 0.6035 0.8276 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] shoe : 0.5110 0.8057 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] computer tower : 0.5495 0.7798 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] bottle : 0.1402 0.2396 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] bin : 0.0043 0.0078 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] ottoman : 0.3647 0.4289 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] bench : 0.3725 0.4085 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] board : 0.1914 0.2504 [2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] washing machine: 0.8983 0.9382 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] mirror : 0.4215 0.4923 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] copier : 0.7707 0.9588 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] sofa chair : 0.1997 0.3262 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] file cabinet : 0.4532 0.5112 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] fan : 0.3206 0.3999 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] laptop : 0.4895 0.7630 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] shower : 0.1621 0.1652 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] paper : 0.0503 0.0781 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] person : 0.4031 0.6451 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] paper towel dispenser: 0.5143 0.7719 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] oven : 0.0002 0.0003 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] plate : 0.0504 0.1906 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] blackboard : 0.5706 0.6437 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] piano : 0.5238 0.7232 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] suitcase : 0.6119 0.8300 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] rail : 0.0202 0.0218 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] radiator : 0.6573 0.7276 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] recycling bin : 0.5095 0.6735 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] container : 0.0431 0.0920 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] wardrobe : 0.1832 0.2753 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] soap dispenser : 0.8127 0.9045 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] telephone : 0.2831 0.3629 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] bucket : 0.2610 0.3928 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] clock : 0.2249 0.2783 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] light : 0.0244 0.0267 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] laundry basket : 0.1043 0.1499 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] pipe : 0.0366 0.0439 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] clothes dryer : 0.7046 0.7184 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] guitar : 0.5542 0.5921 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] toilet paper holder: 0.0182 0.0817 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] column : 0.1258 0.2025 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] ladder : 0.4050 0.4125 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] bathroom stall : 0.4982 0.6239 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] shower wall : 0.4469 0.5985 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] cup : 0.1950 0.2603 [2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] jacket : 0.1907 0.2524 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] storage bin : 0.0020 0.0026 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] coffee maker : 0.6739 0.9909 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] dishwasher : 0.4500 0.6662 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] paper towel roll: 0.3354 0.3890 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] mat : 0.3036 0.3478 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] windowsill : 0.1845 0.2035 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] bar : 0.1765 0.2933 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] toaster : 0.4338 0.6964 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] bulletin board : 0.2872 0.3972 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] ironing board : 0.2084 0.2323 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] fireplace : 0.4569 0.4745 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] soap dish : 0.3365 0.4733 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] kitchen counter: 0.5971 0.7781 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] doorframe : 0.4477 0.6683 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4370 0.5487 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] mini fridge : 0.3894 0.4844 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] fire extinguisher: 0.2082 0.2349 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] ball : 0.6382 0.8056 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] shower curtain rod: 0.3922 0.9233 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] water cooler : 0.7707 0.8009 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] paper cutter : 0.2587 0.3235 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] tray : 0.0439 0.0765 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] shower door : 0.1832 0.2972 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] ledge : 0.0609 0.0861 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] mouse : 0.0635 0.5000 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7327 0.8889 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] cart : 0.1595 0.1953 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] scale : 0.4009 0.9379 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] tissue box : 0.2033 0.2297 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] light switch : 0.0349 0.0997 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] power outlet : 0.2742 0.4685 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] decoration : 0.1723 0.2170 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] projector : 0.0727 1.0000 [2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] closet door : 0.0323 0.0337 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] vacuum cleaner : 0.9410 0.9799 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] plunger : 0.5000 0.9873 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] dish rack : 0.7073 0.9664 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] broom : 0.0747 0.1206 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] range hood : 0.7621 0.8715 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] handicap bar : 0.0547 0.9322 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] vent : 0.0632 0.0709 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] shower floor : 0.9205 0.9900 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] mailbox : 0.3136 0.3156 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] bowl : 0.2437 0.3281 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] paper bag : 0.0811 0.1387 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] divider : 0.4460 0.5285 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] bathroom counter: 0.2474 0.3077 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] object : 0.0297 0.0436 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] bathroom vanity: 0.5064 0.8665 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] closet wall : 0.0188 0.0297 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] laundry hamper : 0.0006 0.0007 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] bathroom stall door: 0.6293 0.8066 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] ceiling light : 0.3095 0.3715 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] trash bin : 0.2821 0.3783 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] dumbbell : 0.7893 0.9780 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] stair rail : 0.0889 0.0978 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] tube : 0.0438 0.0467 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] bathroom cabinet: 0.1355 0.1615 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] closet rod : 0.5491 0.8323 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] coffee kettle : 0.4294 0.4551 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] shower head : 0.2998 0.3749 [2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 05:39:18,566 INFO hook.py line 689 2389709] case of water bottles: 0.1300 0.1336 [2025-03-11 05:39:18,566 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 05:39:18,566 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 05:39:18,566 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 05:39:18,566 INFO hook.py line 689 2389709] fire alarm : 0.1292 0.9333 [2025-03-11 05:39:18,566 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 05:39:18,566 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 05:39:18,566 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 05:39:18,566 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 05:39:18,566 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 05:39:18,566 INFO hook.py line 689 2389709] mattress : 0.0983 0.1000 [2025-03-11 05:39:18,566 INFO hook.py line 690 2389709] ######################################## [2025-03-11 05:39:18,566 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3186/0.4217/0.8243. [2025-03-11 05:39:18,566 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 05:39:18,579 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3186 [2025-03-11 05:39:18,579 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 05:39:48,569 INFO hook.py line 566 2389709] Train: [79/100][50/300] Data 0.002 (0.003) Batch 0.509 (0.491) Remain 00:53:37 loss: 0.5680 Lr: 6.25707e-04 [2025-03-11 05:40:13,110 INFO hook.py line 566 2389709] Train: [79/100][100/300] Data 0.004 (0.003) Batch 0.521 (0.491) Remain 00:53:11 loss: 0.4729 Lr: 6.16620e-04 [2025-03-11 05:40:38,010 INFO hook.py line 566 2389709] Train: [79/100][150/300] Data 0.004 (0.003) Batch 0.462 (0.493) Remain 00:53:02 loss: 0.3891 Lr: 6.07592e-04 [2025-03-11 05:41:02,744 INFO hook.py line 566 2389709] Train: [79/100][200/300] Data 0.003 (0.003) Batch 0.483 (0.494) Remain 00:52:39 loss: 0.6862 Lr: 5.98620e-04 [2025-03-11 05:41:27,741 INFO hook.py line 566 2389709] Train: [79/100][250/300] Data 0.003 (0.003) Batch 0.515 (0.495) Remain 00:52:23 loss: 0.5118 Lr: 5.89706e-04 [2025-03-11 05:41:51,175 INFO hook.py line 566 2389709] Train: [79/100][300/300] Data 0.001 (0.003) Batch 0.488 (0.491) Remain 00:51:30 loss: 0.3567 Lr: 5.80851e-04 [2025-03-11 05:41:51,176 INFO misc.py line 135 2389709] Train result: loss: 0.4693 [2025-03-11 05:41:51,267 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 05:42:45,721 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3048 [2025-03-11 05:42:45,767 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2919 [2025-03-11 05:42:45,811 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4095 [2025-03-11 05:42:45,862 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.3968 [2025-03-11 05:42:45,896 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8037 [2025-03-11 05:42:45,952 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0918 [2025-03-11 05:42:46,011 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8837 [2025-03-11 05:42:46,038 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3836 [2025-03-11 05:42:46,083 INFO hook.py line 748 2389709] Test: [9/78] Loss 0.9518 [2025-03-11 05:42:46,120 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.4995 [2025-03-11 05:42:46,177 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2937 [2025-03-11 05:42:46,210 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2653 [2025-03-11 05:42:46,259 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.4836 [2025-03-11 05:42:46,299 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.5945 [2025-03-11 05:42:46,341 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.4787 [2025-03-11 05:42:46,387 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0972 [2025-03-11 05:42:46,426 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3978 [2025-03-11 05:42:46,469 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0782 [2025-03-11 05:42:46,515 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5585 [2025-03-11 05:42:46,550 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7378 [2025-03-11 05:42:46,586 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6351 [2025-03-11 05:42:46,632 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8649 [2025-03-11 05:42:46,663 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5742 [2025-03-11 05:42:46,716 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9508 [2025-03-11 05:42:46,757 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4749 [2025-03-11 05:42:46,800 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5216 [2025-03-11 05:42:46,854 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8428 [2025-03-11 05:42:46,896 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7020 [2025-03-11 05:42:46,927 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0564 [2025-03-11 05:42:46,987 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.2600 [2025-03-11 05:42:47,052 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4989 [2025-03-11 05:42:47,090 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4466 [2025-03-11 05:42:47,149 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8355 [2025-03-11 05:42:47,187 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.6538 [2025-03-11 05:42:47,224 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2311 [2025-03-11 05:42:47,269 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4907 [2025-03-11 05:42:47,307 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.5875 [2025-03-11 05:42:47,338 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8489 [2025-03-11 05:42:47,411 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.0586 [2025-03-11 05:42:47,458 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5169 [2025-03-11 05:42:47,503 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3317 [2025-03-11 05:42:47,543 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4296 [2025-03-11 05:42:47,580 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0553 [2025-03-11 05:42:47,641 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0547 [2025-03-11 05:42:47,675 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.0070 [2025-03-11 05:42:47,723 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1199 [2025-03-11 05:42:47,763 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7797 [2025-03-11 05:42:47,798 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0100 [2025-03-11 05:42:47,830 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.6540 [2025-03-11 05:42:47,863 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.3450 [2025-03-11 05:42:47,894 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.5050 [2025-03-11 05:42:47,930 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6776 [2025-03-11 05:42:47,957 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3084 [2025-03-11 05:42:47,996 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2540 [2025-03-11 05:42:48,034 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4950 [2025-03-11 05:42:48,079 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0651 [2025-03-11 05:42:48,112 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.4322 [2025-03-11 05:42:48,140 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7363 [2025-03-11 05:42:48,179 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8757 [2025-03-11 05:42:48,216 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5020 [2025-03-11 05:42:48,243 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7188 [2025-03-11 05:42:48,279 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9975 [2025-03-11 05:42:48,316 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.3068 [2025-03-11 05:42:48,376 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8455 [2025-03-11 05:42:48,404 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3063 [2025-03-11 05:42:48,448 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.4015 [2025-03-11 05:42:48,488 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8719 [2025-03-11 05:42:48,524 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9128 [2025-03-11 05:42:48,554 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4033 [2025-03-11 05:42:48,615 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.8526 [2025-03-11 05:42:48,662 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.6618 [2025-03-11 05:42:48,717 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9937 [2025-03-11 05:42:48,772 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7239 [2025-03-11 05:42:48,815 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.6948 [2025-03-11 05:42:48,867 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5503 [2025-03-11 05:42:48,895 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.8513 [2025-03-11 05:42:48,954 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7955 [2025-03-11 05:42:48,981 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.4464 [2025-03-11 05:42:50,586 INFO hook.py line 674 2389709] ######################################## [2025-03-11 05:42:50,589 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 05:42:50,590 INFO hook.py line 680 2389709] ######################################## [2025-03-11 05:42:50,590 INFO hook.py line 689 2389709] wall : 0.7959 0.9306 [2025-03-11 05:42:50,590 INFO hook.py line 689 2389709] chair : 0.7380 0.8805 [2025-03-11 05:42:50,590 INFO hook.py line 689 2389709] floor : 0.9609 0.9822 [2025-03-11 05:42:50,590 INFO hook.py line 689 2389709] table : 0.6347 0.7721 [2025-03-11 05:42:50,590 INFO hook.py line 689 2389709] door : 0.6668 0.8091 [2025-03-11 05:42:50,590 INFO hook.py line 689 2389709] couch : 0.7900 0.9144 [2025-03-11 05:42:50,591 INFO hook.py line 689 2389709] cabinet : 0.3714 0.5733 [2025-03-11 05:42:50,591 INFO hook.py line 689 2389709] shelf : 0.4158 0.5626 [2025-03-11 05:42:50,591 INFO hook.py line 689 2389709] desk : 0.5545 0.7955 [2025-03-11 05:42:50,591 INFO hook.py line 689 2389709] office chair : 0.1804 0.2467 [2025-03-11 05:42:50,591 INFO hook.py line 689 2389709] bed : 0.7908 0.8851 [2025-03-11 05:42:50,591 INFO hook.py line 689 2389709] pillow : 0.5358 0.7631 [2025-03-11 05:42:50,591 INFO hook.py line 689 2389709] sink : 0.6655 0.7738 [2025-03-11 05:42:50,591 INFO hook.py line 689 2389709] picture : 0.3967 0.4907 [2025-03-11 05:42:50,592 INFO hook.py line 689 2389709] window : 0.6084 0.7607 [2025-03-11 05:42:50,592 INFO hook.py line 689 2389709] toilet : 0.9406 0.9620 [2025-03-11 05:42:50,592 INFO hook.py line 689 2389709] bookshelf : 0.4924 0.6571 [2025-03-11 05:42:50,592 INFO hook.py line 689 2389709] monitor : 0.8669 0.9195 [2025-03-11 05:42:50,592 INFO hook.py line 689 2389709] curtain : 0.7293 0.8340 [2025-03-11 05:42:50,592 INFO hook.py line 689 2389709] book : 0.4648 0.7217 [2025-03-11 05:42:50,592 INFO hook.py line 689 2389709] armchair : 0.5399 0.6992 [2025-03-11 05:42:50,592 INFO hook.py line 689 2389709] coffee table : 0.6307 0.7318 [2025-03-11 05:42:50,592 INFO hook.py line 689 2389709] box : 0.2743 0.3479 [2025-03-11 05:42:50,593 INFO hook.py line 689 2389709] refrigerator : 0.6523 0.7369 [2025-03-11 05:42:50,593 INFO hook.py line 689 2389709] lamp : 0.7046 0.8293 [2025-03-11 05:42:50,593 INFO hook.py line 689 2389709] kitchen cabinet: 0.6235 0.6997 [2025-03-11 05:42:50,593 INFO hook.py line 689 2389709] towel : 0.5577 0.7225 [2025-03-11 05:42:50,593 INFO hook.py line 689 2389709] clothes : 0.1991 0.3461 [2025-03-11 05:42:50,593 INFO hook.py line 689 2389709] tv : 0.9052 0.9437 [2025-03-11 05:42:50,593 INFO hook.py line 689 2389709] nightstand : 0.6856 0.8608 [2025-03-11 05:42:50,593 INFO hook.py line 689 2389709] counter : 0.2826 0.4540 [2025-03-11 05:42:50,593 INFO hook.py line 689 2389709] dresser : 0.4392 0.6408 [2025-03-11 05:42:50,594 INFO hook.py line 689 2389709] stool : 0.5777 0.7412 [2025-03-11 05:42:50,594 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 05:42:50,594 INFO hook.py line 689 2389709] plant : 0.7508 0.8990 [2025-03-11 05:42:50,594 INFO hook.py line 689 2389709] ceiling : 0.9221 0.9560 [2025-03-11 05:42:50,594 INFO hook.py line 689 2389709] bathtub : 0.8807 0.9153 [2025-03-11 05:42:50,594 INFO hook.py line 689 2389709] end table : 0.2524 0.4205 [2025-03-11 05:42:50,594 INFO hook.py line 689 2389709] dining table : 0.0373 0.0638 [2025-03-11 05:42:50,595 INFO hook.py line 689 2389709] keyboard : 0.4325 0.5686 [2025-03-11 05:42:50,595 INFO hook.py line 689 2389709] bag : 0.2554 0.4275 [2025-03-11 05:42:50,595 INFO hook.py line 689 2389709] backpack : 0.6217 0.7136 [2025-03-11 05:42:50,595 INFO hook.py line 689 2389709] toilet paper : 0.5089 0.5985 [2025-03-11 05:42:50,595 INFO hook.py line 689 2389709] printer : 0.4887 0.6626 [2025-03-11 05:42:50,595 INFO hook.py line 689 2389709] tv stand : 0.5134 0.9038 [2025-03-11 05:42:50,595 INFO hook.py line 689 2389709] whiteboard : 0.5108 0.6475 [2025-03-11 05:42:50,595 INFO hook.py line 689 2389709] blanket : 0.0489 0.0694 [2025-03-11 05:42:50,595 INFO hook.py line 689 2389709] shower curtain : 0.7005 0.7727 [2025-03-11 05:42:50,596 INFO hook.py line 689 2389709] trash can : 0.6181 0.8349 [2025-03-11 05:42:50,596 INFO hook.py line 689 2389709] closet : 0.1004 0.1530 [2025-03-11 05:42:50,596 INFO hook.py line 689 2389709] stairs : 0.4596 0.6693 [2025-03-11 05:42:50,596 INFO hook.py line 689 2389709] microwave : 0.5422 0.7706 [2025-03-11 05:42:50,596 INFO hook.py line 689 2389709] stove : 0.6158 0.8230 [2025-03-11 05:42:50,596 INFO hook.py line 689 2389709] shoe : 0.5308 0.6405 [2025-03-11 05:42:50,596 INFO hook.py line 689 2389709] computer tower : 0.5287 0.8357 [2025-03-11 05:42:50,596 INFO hook.py line 689 2389709] bottle : 0.0913 0.2087 [2025-03-11 05:42:50,597 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 05:42:50,597 INFO hook.py line 689 2389709] ottoman : 0.4261 0.4612 [2025-03-11 05:42:50,597 INFO hook.py line 689 2389709] bench : 0.2838 0.3411 [2025-03-11 05:42:50,597 INFO hook.py line 689 2389709] board : 0.1602 0.3038 [2025-03-11 05:42:50,597 INFO hook.py line 689 2389709] washing machine: 0.8841 0.9382 [2025-03-11 05:42:50,597 INFO hook.py line 689 2389709] mirror : 0.4136 0.4988 [2025-03-11 05:42:50,597 INFO hook.py line 689 2389709] copier : 0.8785 0.9528 [2025-03-11 05:42:50,597 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 05:42:50,597 INFO hook.py line 689 2389709] sofa chair : 0.1569 0.2282 [2025-03-11 05:42:50,598 INFO hook.py line 689 2389709] file cabinet : 0.4309 0.5687 [2025-03-11 05:42:50,598 INFO hook.py line 689 2389709] fan : 0.4142 0.4292 [2025-03-11 05:42:50,598 INFO hook.py line 689 2389709] laptop : 0.5001 0.7380 [2025-03-11 05:42:50,598 INFO hook.py line 689 2389709] shower : 0.3045 0.3260 [2025-03-11 05:42:50,598 INFO hook.py line 689 2389709] paper : 0.0448 0.0660 [2025-03-11 05:42:50,598 INFO hook.py line 689 2389709] person : 0.2713 0.6039 [2025-03-11 05:42:50,598 INFO hook.py line 689 2389709] paper towel dispenser: 0.5214 0.6967 [2025-03-11 05:42:50,598 INFO hook.py line 689 2389709] oven : 0.1263 0.1435 [2025-03-11 05:42:50,598 INFO hook.py line 689 2389709] blinds : 0.0042 0.0045 [2025-03-11 05:42:50,598 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 05:42:50,598 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 05:42:50,599 INFO hook.py line 689 2389709] blackboard : 0.5806 0.6406 [2025-03-11 05:42:50,599 INFO hook.py line 689 2389709] piano : 0.4153 0.6401 [2025-03-11 05:42:50,599 INFO hook.py line 689 2389709] suitcase : 0.6423 0.7388 [2025-03-11 05:42:50,599 INFO hook.py line 689 2389709] rail : 0.0369 0.0398 [2025-03-11 05:42:50,599 INFO hook.py line 689 2389709] radiator : 0.6272 0.6915 [2025-03-11 05:42:50,599 INFO hook.py line 689 2389709] recycling bin : 0.4934 0.6564 [2025-03-11 05:42:50,599 INFO hook.py line 689 2389709] container : 0.0330 0.0453 [2025-03-11 05:42:50,599 INFO hook.py line 689 2389709] wardrobe : 0.0883 0.1162 [2025-03-11 05:42:50,599 INFO hook.py line 689 2389709] soap dispenser : 0.8153 0.9054 [2025-03-11 05:42:50,599 INFO hook.py line 689 2389709] telephone : 0.3233 0.5104 [2025-03-11 05:42:50,600 INFO hook.py line 689 2389709] bucket : 0.3651 0.6158 [2025-03-11 05:42:50,600 INFO hook.py line 689 2389709] clock : 0.2644 0.3072 [2025-03-11 05:42:50,600 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 05:42:50,600 INFO hook.py line 689 2389709] light : 0.0498 0.0643 [2025-03-11 05:42:50,600 INFO hook.py line 689 2389709] laundry basket : 0.0322 0.0366 [2025-03-11 05:42:50,600 INFO hook.py line 689 2389709] pipe : 0.0921 0.1314 [2025-03-11 05:42:50,600 INFO hook.py line 689 2389709] clothes dryer : 0.6022 0.6129 [2025-03-11 05:42:50,600 INFO hook.py line 689 2389709] guitar : 0.7508 0.8134 [2025-03-11 05:42:50,600 INFO hook.py line 689 2389709] toilet paper holder: 0.0227 0.1240 [2025-03-11 05:42:50,600 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 05:42:50,601 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 05:42:50,601 INFO hook.py line 689 2389709] column : 0.0265 0.0352 [2025-03-11 05:42:50,601 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 05:42:50,601 INFO hook.py line 689 2389709] ladder : 0.5996 0.6393 [2025-03-11 05:42:50,601 INFO hook.py line 689 2389709] bathroom stall : 0.4710 0.5439 [2025-03-11 05:42:50,601 INFO hook.py line 689 2389709] shower wall : 0.4544 0.6060 [2025-03-11 05:42:50,601 INFO hook.py line 689 2389709] cup : 0.1763 0.2710 [2025-03-11 05:42:50,602 INFO hook.py line 689 2389709] jacket : 0.2353 0.3230 [2025-03-11 05:42:50,602 INFO hook.py line 689 2389709] storage bin : 0.0186 0.0234 [2025-03-11 05:42:50,602 INFO hook.py line 689 2389709] coffee maker : 0.8426 0.9883 [2025-03-11 05:42:50,603 INFO hook.py line 689 2389709] dishwasher : 0.2973 0.3758 [2025-03-11 05:42:50,603 INFO hook.py line 689 2389709] paper towel roll: 0.3170 0.3436 [2025-03-11 05:42:50,603 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 05:42:50,603 INFO hook.py line 689 2389709] mat : 0.2991 0.3220 [2025-03-11 05:42:50,604 INFO hook.py line 689 2389709] windowsill : 0.1001 0.1042 [2025-03-11 05:42:50,604 INFO hook.py line 689 2389709] bar : 0.1426 0.1980 [2025-03-11 05:42:50,605 INFO hook.py line 689 2389709] toaster : 0.1453 0.4472 [2025-03-11 05:42:50,605 INFO hook.py line 689 2389709] bulletin board : 0.2973 0.4201 [2025-03-11 05:42:50,605 INFO hook.py line 689 2389709] ironing board : 0.0975 0.1102 [2025-03-11 05:42:50,606 INFO hook.py line 689 2389709] fireplace : 0.4859 0.5069 [2025-03-11 05:42:50,606 INFO hook.py line 689 2389709] soap dish : 0.3847 0.5474 [2025-03-11 05:42:50,607 INFO hook.py line 689 2389709] kitchen counter: 0.5211 0.6081 [2025-03-11 05:42:50,607 INFO hook.py line 689 2389709] doorframe : 0.4151 0.6742 [2025-03-11 05:42:50,607 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4075 0.5403 [2025-03-11 05:42:50,607 INFO hook.py line 689 2389709] mini fridge : 0.2891 0.3100 [2025-03-11 05:42:50,607 INFO hook.py line 689 2389709] fire extinguisher: 0.2558 0.3326 [2025-03-11 05:42:50,607 INFO hook.py line 689 2389709] ball : 0.4784 0.9601 [2025-03-11 05:42:50,607 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 05:42:50,607 INFO hook.py line 689 2389709] shower curtain rod: 0.4387 0.9197 [2025-03-11 05:42:50,607 INFO hook.py line 689 2389709] water cooler : 0.6703 0.9483 [2025-03-11 05:42:50,607 INFO hook.py line 689 2389709] paper cutter : 0.2938 0.3537 [2025-03-11 05:42:50,607 INFO hook.py line 689 2389709] tray : 0.1081 0.1614 [2025-03-11 05:42:50,608 INFO hook.py line 689 2389709] shower door : 0.2551 0.3129 [2025-03-11 05:42:50,608 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 05:42:50,608 INFO hook.py line 689 2389709] ledge : 0.0474 0.0689 [2025-03-11 05:42:50,608 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 05:42:50,608 INFO hook.py line 689 2389709] mouse : 0.0697 0.7434 [2025-03-11 05:42:50,608 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6914 0.7909 [2025-03-11 05:42:50,608 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 05:42:50,608 INFO hook.py line 689 2389709] cart : 0.1757 0.2233 [2025-03-11 05:42:50,608 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 05:42:50,608 INFO hook.py line 689 2389709] scale : 0.3380 0.9458 [2025-03-11 05:42:50,608 INFO hook.py line 689 2389709] tissue box : 0.2335 0.3279 [2025-03-11 05:42:50,608 INFO hook.py line 689 2389709] light switch : 0.0272 0.0701 [2025-03-11 05:42:50,609 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 05:42:50,609 INFO hook.py line 689 2389709] power outlet : 0.2165 0.3287 [2025-03-11 05:42:50,609 INFO hook.py line 689 2389709] decoration : 0.3800 0.6577 [2025-03-11 05:42:50,609 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 05:42:50,609 INFO hook.py line 689 2389709] projector : 0.0917 1.0000 [2025-03-11 05:42:50,609 INFO hook.py line 689 2389709] closet door : 0.1308 0.1706 [2025-03-11 05:42:50,609 INFO hook.py line 689 2389709] vacuum cleaner : 0.8762 0.9783 [2025-03-11 05:42:50,609 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 05:42:50,609 INFO hook.py line 689 2389709] plunger : 0.7032 0.9747 [2025-03-11 05:42:50,609 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 05:42:50,609 INFO hook.py line 689 2389709] headphones : 0.0233 0.0346 [2025-03-11 05:42:50,610 INFO hook.py line 689 2389709] dish rack : 0.7672 0.9790 [2025-03-11 05:42:50,610 INFO hook.py line 689 2389709] broom : 0.0513 0.0865 [2025-03-11 05:42:50,610 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 05:42:50,610 INFO hook.py line 689 2389709] range hood : 0.7603 0.9064 [2025-03-11 05:42:50,610 INFO hook.py line 689 2389709] dustpan : 0.1215 0.3586 [2025-03-11 05:42:50,610 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 05:42:50,610 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 05:42:50,610 INFO hook.py line 689 2389709] handicap bar : 0.0619 0.9273 [2025-03-11 05:42:50,610 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 05:42:50,610 INFO hook.py line 689 2389709] vent : 0.0014 0.0019 [2025-03-11 05:42:50,610 INFO hook.py line 689 2389709] shower floor : 0.8936 0.9928 [2025-03-11 05:42:50,611 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 05:42:50,611 INFO hook.py line 689 2389709] mailbox : 0.4292 0.4441 [2025-03-11 05:42:50,611 INFO hook.py line 689 2389709] bowl : 0.0895 0.1386 [2025-03-11 05:42:50,611 INFO hook.py line 689 2389709] paper bag : 0.0804 0.1396 [2025-03-11 05:42:50,611 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 05:42:50,611 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 05:42:50,611 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 05:42:50,611 INFO hook.py line 689 2389709] divider : 0.4172 0.4496 [2025-03-11 05:42:50,611 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 05:42:50,611 INFO hook.py line 689 2389709] bathroom counter: 0.2440 0.2690 [2025-03-11 05:42:50,611 INFO hook.py line 689 2389709] object : 0.0271 0.0430 [2025-03-11 05:42:50,612 INFO hook.py line 689 2389709] bathroom vanity: 0.5555 0.7758 [2025-03-11 05:42:50,612 INFO hook.py line 689 2389709] closet wall : 0.0217 0.0291 [2025-03-11 05:42:50,612 INFO hook.py line 689 2389709] laundry hamper : 0.0004 0.0005 [2025-03-11 05:42:50,613 INFO hook.py line 689 2389709] bathroom stall door: 0.5753 0.6816 [2025-03-11 05:42:50,613 INFO hook.py line 689 2389709] ceiling light : 0.4268 0.5152 [2025-03-11 05:42:50,613 INFO hook.py line 689 2389709] trash bin : 0.2409 0.3229 [2025-03-11 05:42:50,614 INFO hook.py line 689 2389709] dumbbell : 0.6760 0.9783 [2025-03-11 05:42:50,614 INFO hook.py line 689 2389709] stair rail : 0.0872 0.0969 [2025-03-11 05:42:50,614 INFO hook.py line 689 2389709] tube : 0.1291 0.1599 [2025-03-11 05:42:50,614 INFO hook.py line 689 2389709] bathroom cabinet: 0.5541 0.8782 [2025-03-11 05:42:50,614 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 05:42:50,615 INFO hook.py line 689 2389709] closet rod : 0.5677 0.8632 [2025-03-11 05:42:50,615 INFO hook.py line 689 2389709] coffee kettle : 0.2910 0.3854 [2025-03-11 05:42:50,615 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 05:42:50,615 INFO hook.py line 689 2389709] shower head : 0.3590 0.4177 [2025-03-11 05:42:50,615 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 05:42:50,616 INFO hook.py line 689 2389709] case of water bottles: 0.1368 0.1442 [2025-03-11 05:42:50,616 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 [2025-03-11 05:42:50,616 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 05:42:50,617 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 05:42:50,617 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 05:42:50,617 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 05:42:50,618 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 05:42:50,618 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 05:42:50,618 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 05:42:50,618 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 05:42:50,618 INFO hook.py line 689 2389709] mattress : 0.0043 0.0043 [2025-03-11 05:42:50,618 INFO hook.py line 690 2389709] ######################################## [2025-03-11 05:42:50,618 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3212/0.4238/0.8257. [2025-03-11 05:42:50,619 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 05:42:50,634 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.3212 [2025-03-11 05:42:50,635 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3212 [2025-03-11 05:42:50,636 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 05:43:21,670 INFO hook.py line 566 2389709] Train: [80/100][50/300] Data 0.003 (0.003) Batch 0.525 (0.494) Remain 00:51:28 loss: 0.5170 Lr: 5.72053e-04 [2025-03-11 05:43:46,218 INFO hook.py line 566 2389709] Train: [80/100][100/300] Data 0.002 (0.003) Batch 0.464 (0.493) Remain 00:50:53 loss: 0.3677 Lr: 5.63315e-04 [2025-03-11 05:44:10,981 INFO hook.py line 566 2389709] Train: [80/100][150/300] Data 0.003 (0.002) Batch 0.467 (0.493) Remain 00:50:34 loss: 0.4496 Lr: 5.54635e-04 [2025-03-11 05:44:35,332 INFO hook.py line 566 2389709] Train: [80/100][200/300] Data 0.002 (0.002) Batch 0.493 (0.492) Remain 00:50:00 loss: 0.3629 Lr: 5.46014e-04 [2025-03-11 05:44:59,653 INFO hook.py line 566 2389709] Train: [80/100][250/300] Data 0.002 (0.002) Batch 0.525 (0.491) Remain 00:49:28 loss: 0.6552 Lr: 5.37453e-04 [2025-03-11 05:45:23,936 INFO hook.py line 566 2389709] Train: [80/100][300/300] Data 0.001 (0.002) Batch 0.470 (0.490) Remain 00:48:59 loss: 0.2593 Lr: 5.28951e-04 [2025-03-11 05:45:23,937 INFO misc.py line 135 2389709] Train result: loss: 0.4688 [2025-03-11 05:45:24,025 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 05:46:16,667 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2704 [2025-03-11 05:46:16,765 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.4896 [2025-03-11 05:46:16,808 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5095 [2025-03-11 05:46:16,862 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4705 [2025-03-11 05:46:16,911 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9056 [2025-03-11 05:46:16,973 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0849 [2025-03-11 05:46:17,027 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7927 [2025-03-11 05:46:17,058 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3990 [2025-03-11 05:46:17,104 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3252 [2025-03-11 05:46:17,145 INFO hook.py line 748 2389709] Test: [10/78] Loss 0.9122 [2025-03-11 05:46:17,196 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2779 [2025-03-11 05:46:17,232 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1348 [2025-03-11 05:46:17,284 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.5963 [2025-03-11 05:46:17,327 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4640 [2025-03-11 05:46:17,378 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.5720 [2025-03-11 05:46:17,424 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0787 [2025-03-11 05:46:17,462 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4776 [2025-03-11 05:46:17,501 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1364 [2025-03-11 05:46:17,547 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.7687 [2025-03-11 05:46:17,585 INFO hook.py line 748 2389709] Test: [20/78] Loss 2.0044 [2025-03-11 05:46:17,624 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6327 [2025-03-11 05:46:17,666 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9039 [2025-03-11 05:46:17,699 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5335 [2025-03-11 05:46:17,758 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.8820 [2025-03-11 05:46:17,800 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5429 [2025-03-11 05:46:17,843 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.0620 [2025-03-11 05:46:17,900 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9336 [2025-03-11 05:46:17,941 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6977 [2025-03-11 05:46:17,973 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9997 [2025-03-11 05:46:18,029 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.2235 [2025-03-11 05:46:18,088 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.3928 [2025-03-11 05:46:18,126 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4465 [2025-03-11 05:46:18,189 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8396 [2025-03-11 05:46:18,239 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.6190 [2025-03-11 05:46:18,287 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.6520 [2025-03-11 05:46:18,329 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5571 [2025-03-11 05:46:18,371 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.8407 [2025-03-11 05:46:18,402 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8940 [2025-03-11 05:46:18,473 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.6653 [2025-03-11 05:46:18,521 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4445 [2025-03-11 05:46:18,570 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4610 [2025-03-11 05:46:18,605 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4158 [2025-03-11 05:46:18,644 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2064 [2025-03-11 05:46:18,709 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8462 [2025-03-11 05:46:18,755 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.0050 [2025-03-11 05:46:18,807 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1983 [2025-03-11 05:46:18,855 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.2973 [2025-03-11 05:46:18,898 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0834 [2025-03-11 05:46:18,930 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.5863 [2025-03-11 05:46:18,962 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4566 [2025-03-11 05:46:18,996 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2392 [2025-03-11 05:46:19,032 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7430 [2025-03-11 05:46:19,064 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.5639 [2025-03-11 05:46:19,103 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.1388 [2025-03-11 05:46:19,141 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4321 [2025-03-11 05:46:19,185 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.3439 [2025-03-11 05:46:19,219 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.3380 [2025-03-11 05:46:19,247 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7930 [2025-03-11 05:46:19,288 INFO hook.py line 748 2389709] Test: [59/78] Loss 1.0049 [2025-03-11 05:46:19,329 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4471 [2025-03-11 05:46:19,358 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7658 [2025-03-11 05:46:19,398 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9609 [2025-03-11 05:46:19,436 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.3186 [2025-03-11 05:46:19,496 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9024 [2025-03-11 05:46:19,528 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3334 [2025-03-11 05:46:19,571 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.1768 [2025-03-11 05:46:19,611 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8172 [2025-03-11 05:46:19,652 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.8254 [2025-03-11 05:46:19,685 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3953 [2025-03-11 05:46:19,746 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.6975 [2025-03-11 05:46:19,793 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7758 [2025-03-11 05:46:19,849 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7691 [2025-03-11 05:46:19,904 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7282 [2025-03-11 05:46:19,947 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.3581 [2025-03-11 05:46:19,998 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5016 [2025-03-11 05:46:20,025 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.8849 [2025-03-11 05:46:20,085 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5941 [2025-03-11 05:46:20,112 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.7732 [2025-03-11 05:46:21,452 INFO hook.py line 674 2389709] ######################################## [2025-03-11 05:46:21,453 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 05:46:21,453 INFO hook.py line 680 2389709] ######################################## [2025-03-11 05:46:21,453 INFO hook.py line 689 2389709] wall : 0.7979 0.9265 [2025-03-11 05:46:21,454 INFO hook.py line 689 2389709] chair : 0.7482 0.8833 [2025-03-11 05:46:21,454 INFO hook.py line 689 2389709] floor : 0.9590 0.9854 [2025-03-11 05:46:21,454 INFO hook.py line 689 2389709] table : 0.6602 0.7977 [2025-03-11 05:46:21,454 INFO hook.py line 689 2389709] door : 0.6672 0.7774 [2025-03-11 05:46:21,454 INFO hook.py line 689 2389709] couch : 0.7882 0.9205 [2025-03-11 05:46:21,454 INFO hook.py line 689 2389709] cabinet : 0.3785 0.6161 [2025-03-11 05:46:21,454 INFO hook.py line 689 2389709] shelf : 0.4156 0.5624 [2025-03-11 05:46:21,455 INFO hook.py line 689 2389709] desk : 0.5757 0.7835 [2025-03-11 05:46:21,455 INFO hook.py line 689 2389709] office chair : 0.1571 0.2150 [2025-03-11 05:46:21,455 INFO hook.py line 689 2389709] bed : 0.8070 0.8909 [2025-03-11 05:46:21,455 INFO hook.py line 689 2389709] pillow : 0.5605 0.7562 [2025-03-11 05:46:21,455 INFO hook.py line 689 2389709] sink : 0.6473 0.8395 [2025-03-11 05:46:21,455 INFO hook.py line 689 2389709] picture : 0.3926 0.5165 [2025-03-11 05:46:21,455 INFO hook.py line 689 2389709] window : 0.6008 0.7591 [2025-03-11 05:46:21,456 INFO hook.py line 689 2389709] toilet : 0.9437 0.9695 [2025-03-11 05:46:21,456 INFO hook.py line 689 2389709] bookshelf : 0.4885 0.6343 [2025-03-11 05:46:21,456 INFO hook.py line 689 2389709] monitor : 0.8659 0.9163 [2025-03-11 05:46:21,456 INFO hook.py line 689 2389709] curtain : 0.7169 0.8559 [2025-03-11 05:46:21,456 INFO hook.py line 689 2389709] book : 0.4634 0.7465 [2025-03-11 05:46:21,456 INFO hook.py line 689 2389709] armchair : 0.5176 0.6482 [2025-03-11 05:46:21,456 INFO hook.py line 689 2389709] coffee table : 0.6894 0.8225 [2025-03-11 05:46:21,456 INFO hook.py line 689 2389709] box : 0.2892 0.3724 [2025-03-11 05:46:21,457 INFO hook.py line 689 2389709] refrigerator : 0.6922 0.7633 [2025-03-11 05:46:21,457 INFO hook.py line 689 2389709] lamp : 0.6643 0.7973 [2025-03-11 05:46:21,457 INFO hook.py line 689 2389709] kitchen cabinet: 0.6646 0.7623 [2025-03-11 05:46:21,457 INFO hook.py line 689 2389709] towel : 0.5132 0.7111 [2025-03-11 05:46:21,457 INFO hook.py line 689 2389709] clothes : 0.1868 0.3307 [2025-03-11 05:46:21,457 INFO hook.py line 689 2389709] tv : 0.8829 0.9312 [2025-03-11 05:46:21,457 INFO hook.py line 689 2389709] nightstand : 0.6764 0.8985 [2025-03-11 05:46:21,458 INFO hook.py line 689 2389709] counter : 0.3017 0.4170 [2025-03-11 05:46:21,458 INFO hook.py line 689 2389709] dresser : 0.4457 0.6866 [2025-03-11 05:46:21,458 INFO hook.py line 689 2389709] stool : 0.5896 0.7773 [2025-03-11 05:46:21,458 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 05:46:21,458 INFO hook.py line 689 2389709] plant : 0.7896 0.8670 [2025-03-11 05:46:21,458 INFO hook.py line 689 2389709] ceiling : 0.9340 0.9648 [2025-03-11 05:46:21,458 INFO hook.py line 689 2389709] bathtub : 0.8776 0.9251 [2025-03-11 05:46:21,458 INFO hook.py line 689 2389709] end table : 0.2324 0.3675 [2025-03-11 05:46:21,459 INFO hook.py line 689 2389709] dining table : 0.0928 0.1192 [2025-03-11 05:46:21,459 INFO hook.py line 689 2389709] keyboard : 0.4201 0.5381 [2025-03-11 05:46:21,459 INFO hook.py line 689 2389709] bag : 0.2646 0.3710 [2025-03-11 05:46:21,459 INFO hook.py line 689 2389709] backpack : 0.6141 0.6952 [2025-03-11 05:46:21,459 INFO hook.py line 689 2389709] toilet paper : 0.5057 0.6129 [2025-03-11 05:46:21,459 INFO hook.py line 689 2389709] printer : 0.4904 0.5462 [2025-03-11 05:46:21,459 INFO hook.py line 689 2389709] tv stand : 0.2991 0.4820 [2025-03-11 05:46:21,460 INFO hook.py line 689 2389709] whiteboard : 0.5140 0.6935 [2025-03-11 05:46:21,460 INFO hook.py line 689 2389709] blanket : 0.0133 0.0163 [2025-03-11 05:46:21,460 INFO hook.py line 689 2389709] shower curtain : 0.7106 0.7990 [2025-03-11 05:46:21,460 INFO hook.py line 689 2389709] trash can : 0.6046 0.8427 [2025-03-11 05:46:21,460 INFO hook.py line 689 2389709] closet : 0.0897 0.1605 [2025-03-11 05:46:21,460 INFO hook.py line 689 2389709] stairs : 0.5273 0.6846 [2025-03-11 05:46:21,460 INFO hook.py line 689 2389709] microwave : 0.5577 0.7242 [2025-03-11 05:46:21,461 INFO hook.py line 689 2389709] stove : 0.6261 0.8622 [2025-03-11 05:46:21,461 INFO hook.py line 689 2389709] shoe : 0.5095 0.6270 [2025-03-11 05:46:21,461 INFO hook.py line 689 2389709] computer tower : 0.5332 0.8454 [2025-03-11 05:46:21,461 INFO hook.py line 689 2389709] bottle : 0.0467 0.0825 [2025-03-11 05:46:21,461 INFO hook.py line 689 2389709] bin : 0.0006 0.0011 [2025-03-11 05:46:21,461 INFO hook.py line 689 2389709] ottoman : 0.4159 0.4765 [2025-03-11 05:46:21,461 INFO hook.py line 689 2389709] bench : 0.3512 0.3946 [2025-03-11 05:46:21,462 INFO hook.py line 689 2389709] board : 0.2149 0.3610 [2025-03-11 05:46:21,462 INFO hook.py line 689 2389709] washing machine: 0.8709 0.9198 [2025-03-11 05:46:21,462 INFO hook.py line 689 2389709] mirror : 0.4386 0.5304 [2025-03-11 05:46:21,462 INFO hook.py line 689 2389709] copier : 0.8755 0.9482 [2025-03-11 05:46:21,462 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 05:46:21,462 INFO hook.py line 689 2389709] sofa chair : 0.1159 0.1796 [2025-03-11 05:46:21,462 INFO hook.py line 689 2389709] file cabinet : 0.4002 0.5360 [2025-03-11 05:46:21,463 INFO hook.py line 689 2389709] fan : 0.3645 0.4177 [2025-03-11 05:46:21,463 INFO hook.py line 689 2389709] laptop : 0.4976 0.7383 [2025-03-11 05:46:21,463 INFO hook.py line 689 2389709] shower : 0.1660 0.1701 [2025-03-11 05:46:21,463 INFO hook.py line 689 2389709] paper : 0.0185 0.0214 [2025-03-11 05:46:21,463 INFO hook.py line 689 2389709] person : 0.3354 0.5897 [2025-03-11 05:46:21,463 INFO hook.py line 689 2389709] paper towel dispenser: 0.4657 0.8041 [2025-03-11 05:46:21,463 INFO hook.py line 689 2389709] oven : 0.1148 0.1194 [2025-03-11 05:46:21,464 INFO hook.py line 689 2389709] blinds : 0.0010 0.0011 [2025-03-11 05:46:21,464 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 05:46:21,464 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 05:46:21,464 INFO hook.py line 689 2389709] blackboard : 0.5621 0.6567 [2025-03-11 05:46:21,464 INFO hook.py line 689 2389709] piano : 0.5870 0.6874 [2025-03-11 05:46:21,464 INFO hook.py line 689 2389709] suitcase : 0.5989 0.7652 [2025-03-11 05:46:21,464 INFO hook.py line 689 2389709] rail : 0.0338 0.0420 [2025-03-11 05:46:21,464 INFO hook.py line 689 2389709] radiator : 0.6626 0.7259 [2025-03-11 05:46:21,465 INFO hook.py line 689 2389709] recycling bin : 0.4890 0.6412 [2025-03-11 05:46:21,465 INFO hook.py line 689 2389709] container : 0.0265 0.0467 [2025-03-11 05:46:21,465 INFO hook.py line 689 2389709] wardrobe : 0.2228 0.3447 [2025-03-11 05:46:21,465 INFO hook.py line 689 2389709] soap dispenser : 0.8030 0.9040 [2025-03-11 05:46:21,465 INFO hook.py line 689 2389709] telephone : 0.2962 0.4130 [2025-03-11 05:46:21,465 INFO hook.py line 689 2389709] bucket : 0.2501 0.3227 [2025-03-11 05:46:21,465 INFO hook.py line 689 2389709] clock : 0.2480 0.2843 [2025-03-11 05:46:21,465 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 05:46:21,465 INFO hook.py line 689 2389709] light : 0.0467 0.0514 [2025-03-11 05:46:21,466 INFO hook.py line 689 2389709] laundry basket : 0.0399 0.0518 [2025-03-11 05:46:21,466 INFO hook.py line 689 2389709] pipe : 0.0493 0.0685 [2025-03-11 05:46:21,466 INFO hook.py line 689 2389709] clothes dryer : 0.7012 0.7283 [2025-03-11 05:46:21,466 INFO hook.py line 689 2389709] guitar : 0.6607 0.7825 [2025-03-11 05:46:21,466 INFO hook.py line 689 2389709] toilet paper holder: 0.0418 0.2004 [2025-03-11 05:46:21,467 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 05:46:21,467 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 05:46:21,467 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 05:46:21,467 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 05:46:21,467 INFO hook.py line 689 2389709] ladder : 0.5946 0.6929 [2025-03-11 05:46:21,467 INFO hook.py line 689 2389709] bathroom stall : 0.4229 0.5198 [2025-03-11 05:46:21,467 INFO hook.py line 689 2389709] shower wall : 0.4700 0.6224 [2025-03-11 05:46:21,467 INFO hook.py line 689 2389709] cup : 0.1778 0.2747 [2025-03-11 05:46:21,467 INFO hook.py line 689 2389709] jacket : 0.1726 0.2208 [2025-03-11 05:46:21,468 INFO hook.py line 689 2389709] storage bin : 0.0119 0.0134 [2025-03-11 05:46:21,468 INFO hook.py line 689 2389709] coffee maker : 0.7150 0.8897 [2025-03-11 05:46:21,468 INFO hook.py line 689 2389709] dishwasher : 0.2708 0.3807 [2025-03-11 05:46:21,468 INFO hook.py line 689 2389709] paper towel roll: 0.2937 0.3856 [2025-03-11 05:46:21,468 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 05:46:21,468 INFO hook.py line 689 2389709] mat : 0.2553 0.2706 [2025-03-11 05:46:21,468 INFO hook.py line 689 2389709] windowsill : 0.1128 0.1189 [2025-03-11 05:46:21,468 INFO hook.py line 689 2389709] bar : 0.2050 0.3071 [2025-03-11 05:46:21,468 INFO hook.py line 689 2389709] toaster : 0.3663 0.9094 [2025-03-11 05:46:21,469 INFO hook.py line 689 2389709] bulletin board : 0.3391 0.5090 [2025-03-11 05:46:21,469 INFO hook.py line 689 2389709] ironing board : 0.2712 0.3391 [2025-03-11 05:46:21,469 INFO hook.py line 689 2389709] fireplace : 0.6496 0.6759 [2025-03-11 05:46:21,469 INFO hook.py line 689 2389709] soap dish : 0.3479 0.4597 [2025-03-11 05:46:21,469 INFO hook.py line 689 2389709] kitchen counter: 0.6036 0.7501 [2025-03-11 05:46:21,469 INFO hook.py line 689 2389709] doorframe : 0.4343 0.6357 [2025-03-11 05:46:21,469 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3761 0.4665 [2025-03-11 05:46:21,469 INFO hook.py line 689 2389709] mini fridge : 0.3169 0.3842 [2025-03-11 05:46:21,469 INFO hook.py line 689 2389709] fire extinguisher: 0.1603 0.1750 [2025-03-11 05:46:21,469 INFO hook.py line 689 2389709] ball : 0.5826 0.7088 [2025-03-11 05:46:21,470 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 05:46:21,470 INFO hook.py line 689 2389709] shower curtain rod: 0.3978 0.9002 [2025-03-11 05:46:21,470 INFO hook.py line 689 2389709] water cooler : 0.8344 0.9518 [2025-03-11 05:46:21,470 INFO hook.py line 689 2389709] paper cutter : 0.2587 0.3075 [2025-03-11 05:46:21,470 INFO hook.py line 689 2389709] tray : 0.0711 0.1146 [2025-03-11 05:46:21,470 INFO hook.py line 689 2389709] shower door : 0.2051 0.2894 [2025-03-11 05:46:21,470 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 05:46:21,470 INFO hook.py line 689 2389709] ledge : 0.0589 0.0769 [2025-03-11 05:46:21,470 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 05:46:21,471 INFO hook.py line 689 2389709] mouse : 0.0578 0.5402 [2025-03-11 05:46:21,471 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7349 0.8476 [2025-03-11 05:46:21,471 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 05:46:21,471 INFO hook.py line 689 2389709] cart : 0.0882 0.0997 [2025-03-11 05:46:21,471 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 05:46:21,471 INFO hook.py line 689 2389709] scale : 0.3795 0.9602 [2025-03-11 05:46:21,471 INFO hook.py line 689 2389709] tissue box : 0.2132 0.2629 [2025-03-11 05:46:21,471 INFO hook.py line 689 2389709] light switch : 0.0352 0.0836 [2025-03-11 05:46:21,471 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 05:46:21,472 INFO hook.py line 689 2389709] power outlet : 0.2682 0.3100 [2025-03-11 05:46:21,472 INFO hook.py line 689 2389709] decoration : 0.2980 0.3849 [2025-03-11 05:46:21,472 INFO hook.py line 689 2389709] sign : 0.0016 0.0021 [2025-03-11 05:46:21,472 INFO hook.py line 689 2389709] projector : 0.1075 1.0000 [2025-03-11 05:46:21,472 INFO hook.py line 689 2389709] closet door : 0.0702 0.0778 [2025-03-11 05:46:21,472 INFO hook.py line 689 2389709] vacuum cleaner : 0.9299 0.9798 [2025-03-11 05:46:21,472 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 05:46:21,472 INFO hook.py line 689 2389709] plunger : 0.5623 0.9840 [2025-03-11 05:46:21,472 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 05:46:21,472 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 05:46:21,473 INFO hook.py line 689 2389709] dish rack : 0.8144 0.9712 [2025-03-11 05:46:21,473 INFO hook.py line 689 2389709] broom : 0.1029 0.1735 [2025-03-11 05:46:21,473 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 05:46:21,473 INFO hook.py line 689 2389709] range hood : 0.7504 0.8707 [2025-03-11 05:46:21,473 INFO hook.py line 689 2389709] dustpan : 0.1156 0.1806 [2025-03-11 05:46:21,473 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 05:46:21,473 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 05:46:21,473 INFO hook.py line 689 2389709] handicap bar : 0.0618 0.8596 [2025-03-11 05:46:21,473 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 05:46:21,474 INFO hook.py line 689 2389709] vent : 0.1346 0.1828 [2025-03-11 05:46:21,474 INFO hook.py line 689 2389709] shower floor : 0.9069 0.9773 [2025-03-11 05:46:21,474 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 05:46:21,474 INFO hook.py line 689 2389709] mailbox : 0.3870 0.3892 [2025-03-11 05:46:21,474 INFO hook.py line 689 2389709] bowl : 0.0746 0.0970 [2025-03-11 05:46:21,474 INFO hook.py line 689 2389709] paper bag : 0.0916 0.1487 [2025-03-11 05:46:21,474 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 05:46:21,474 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 05:46:21,474 INFO hook.py line 689 2389709] projector screen: 0.0004 0.0005 [2025-03-11 05:46:21,474 INFO hook.py line 689 2389709] divider : 0.5236 0.6256 [2025-03-11 05:46:21,475 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 05:46:21,475 INFO hook.py line 689 2389709] bathroom counter: 0.3225 0.3863 [2025-03-11 05:46:21,475 INFO hook.py line 689 2389709] object : 0.0380 0.0583 [2025-03-11 05:46:21,475 INFO hook.py line 689 2389709] bathroom vanity: 0.5668 0.7912 [2025-03-11 05:46:21,475 INFO hook.py line 689 2389709] closet wall : 0.0190 0.0304 [2025-03-11 05:46:21,475 INFO hook.py line 689 2389709] laundry hamper : 0.0937 0.1166 [2025-03-11 05:46:21,475 INFO hook.py line 689 2389709] bathroom stall door: 0.6369 0.7269 [2025-03-11 05:46:21,475 INFO hook.py line 689 2389709] ceiling light : 0.3832 0.4891 [2025-03-11 05:46:21,475 INFO hook.py line 689 2389709] trash bin : 0.2561 0.3256 [2025-03-11 05:46:21,476 INFO hook.py line 689 2389709] dumbbell : 0.8184 0.9719 [2025-03-11 05:46:21,476 INFO hook.py line 689 2389709] stair rail : 0.1274 0.1481 [2025-03-11 05:46:21,476 INFO hook.py line 689 2389709] tube : 0.1345 0.1834 [2025-03-11 05:46:21,476 INFO hook.py line 689 2389709] bathroom cabinet: 0.5774 0.8182 [2025-03-11 05:46:21,476 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 05:46:21,476 INFO hook.py line 689 2389709] closet rod : 0.5541 0.8434 [2025-03-11 05:46:21,476 INFO hook.py line 689 2389709] coffee kettle : 0.4143 0.4909 [2025-03-11 05:46:21,476 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 05:46:21,476 INFO hook.py line 689 2389709] shower head : 0.2914 0.3766 [2025-03-11 05:46:21,477 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 05:46:21,477 INFO hook.py line 689 2389709] case of water bottles: 0.2400 0.2415 [2025-03-11 05:46:21,477 INFO hook.py line 689 2389709] coat rack : 0.0009 0.0024 [2025-03-11 05:46:21,477 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 05:46:21,477 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 05:46:21,477 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 05:46:21,477 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 05:46:21,477 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 05:46:21,477 INFO hook.py line 689 2389709] poster : 0.0097 0.0100 [2025-03-11 05:46:21,477 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 05:46:21,478 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 05:46:21,478 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 [2025-03-11 05:46:21,478 INFO hook.py line 690 2389709] ######################################## [2025-03-11 05:46:21,478 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3257/0.4220/0.8280. [2025-03-11 05:46:21,479 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 05:46:21,501 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.3257 [2025-03-11 05:46:21,502 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3257 [2025-03-11 05:46:21,502 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 05:46:52,173 INFO hook.py line 566 2389709] Train: [81/100][50/300] Data 0.002 (0.002) Batch 0.454 (0.496) Remain 00:49:11 loss: 0.5128 Lr: 5.20509e-04 [2025-03-11 05:47:16,705 INFO hook.py line 566 2389709] Train: [81/100][100/300] Data 0.002 (0.002) Batch 0.458 (0.493) Remain 00:48:30 loss: 0.4890 Lr: 5.12127e-04 [2025-03-11 05:47:41,146 INFO hook.py line 566 2389709] Train: [81/100][150/300] Data 0.002 (0.002) Batch 0.439 (0.492) Remain 00:47:56 loss: 0.3372 Lr: 5.03806e-04 [2025-03-11 05:48:06,063 INFO hook.py line 566 2389709] Train: [81/100][200/300] Data 0.002 (0.002) Batch 0.472 (0.493) Remain 00:47:41 loss: 0.5149 Lr: 4.95545e-04 [2025-03-11 05:48:30,622 INFO hook.py line 566 2389709] Train: [81/100][250/300] Data 0.003 (0.002) Batch 0.486 (0.493) Remain 00:47:14 loss: 0.3780 Lr: 4.87345e-04 [2025-03-11 05:48:55,045 INFO hook.py line 566 2389709] Train: [81/100][300/300] Data 0.002 (0.002) Batch 0.566 (0.492) Remain 00:46:45 loss: 0.3761 Lr: 4.79368e-04 [2025-03-11 05:48:55,046 INFO misc.py line 135 2389709] Train result: loss: 0.4575 [2025-03-11 05:48:55,151 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 05:49:47,921 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4072 [2025-03-11 05:49:47,998 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.1371 [2025-03-11 05:49:48,036 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4378 [2025-03-11 05:49:48,086 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5581 [2025-03-11 05:49:48,118 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0161 [2025-03-11 05:49:48,175 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0906 [2025-03-11 05:49:48,232 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8214 [2025-03-11 05:49:48,265 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2523 [2025-03-11 05:49:48,310 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2233 [2025-03-11 05:49:48,346 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.5094 [2025-03-11 05:49:48,398 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2121 [2025-03-11 05:49:48,434 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2152 [2025-03-11 05:49:48,482 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.7133 [2025-03-11 05:49:48,521 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.5642 [2025-03-11 05:49:48,558 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2249 [2025-03-11 05:49:48,614 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0720 [2025-03-11 05:49:48,660 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3575 [2025-03-11 05:49:48,701 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9602 [2025-03-11 05:49:48,751 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4393 [2025-03-11 05:49:48,784 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6529 [2025-03-11 05:49:48,824 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7306 [2025-03-11 05:49:48,870 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.0617 [2025-03-11 05:49:48,904 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3470 [2025-03-11 05:49:48,953 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0120 [2025-03-11 05:49:49,000 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.3455 [2025-03-11 05:49:49,045 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2264 [2025-03-11 05:49:49,099 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8767 [2025-03-11 05:49:49,138 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8930 [2025-03-11 05:49:49,174 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1280 [2025-03-11 05:49:49,233 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5197 [2025-03-11 05:49:49,296 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5462 [2025-03-11 05:49:49,335 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.3735 [2025-03-11 05:49:49,392 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8060 [2025-03-11 05:49:49,435 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.2530 [2025-03-11 05:49:49,476 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2503 [2025-03-11 05:49:49,515 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3403 [2025-03-11 05:49:49,554 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.7672 [2025-03-11 05:49:49,587 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9916 [2025-03-11 05:49:49,655 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.8610 [2025-03-11 05:49:49,710 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3451 [2025-03-11 05:49:49,757 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3051 [2025-03-11 05:49:49,785 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4193 [2025-03-11 05:49:49,824 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2074 [2025-03-11 05:49:49,889 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9534 [2025-03-11 05:49:49,929 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.2908 [2025-03-11 05:49:49,982 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1938 [2025-03-11 05:49:50,021 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.6992 [2025-03-11 05:49:50,059 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.2046 [2025-03-11 05:49:50,095 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.8875 [2025-03-11 05:49:50,132 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.3232 [2025-03-11 05:49:50,162 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3201 [2025-03-11 05:49:50,203 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5703 [2025-03-11 05:49:50,231 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3920 [2025-03-11 05:49:50,270 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.9733 [2025-03-11 05:49:50,312 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4526 [2025-03-11 05:49:50,353 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8695 [2025-03-11 05:49:50,392 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.7544 [2025-03-11 05:49:50,421 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.8339 [2025-03-11 05:49:50,463 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9829 [2025-03-11 05:49:50,500 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5774 [2025-03-11 05:49:50,527 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8138 [2025-03-11 05:49:50,563 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9403 [2025-03-11 05:49:50,605 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2671 [2025-03-11 05:49:50,663 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8549 [2025-03-11 05:49:50,693 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.5589 [2025-03-11 05:49:50,740 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.8142 [2025-03-11 05:49:50,784 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9933 [2025-03-11 05:49:50,822 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9056 [2025-03-11 05:49:50,856 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3764 [2025-03-11 05:49:50,921 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.3300 [2025-03-11 05:49:50,965 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.2557 [2025-03-11 05:49:51,019 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.8620 [2025-03-11 05:49:51,073 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7110 [2025-03-11 05:49:51,120 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.8599 [2025-03-11 05:49:51,175 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6095 [2025-03-11 05:49:51,204 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.8830 [2025-03-11 05:49:51,263 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6179 [2025-03-11 05:49:51,294 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.1913 [2025-03-11 05:49:52,545 INFO hook.py line 674 2389709] ######################################## [2025-03-11 05:49:52,545 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 05:49:52,546 INFO hook.py line 680 2389709] ######################################## [2025-03-11 05:49:52,546 INFO hook.py line 689 2389709] wall : 0.7889 0.9302 [2025-03-11 05:49:52,546 INFO hook.py line 689 2389709] chair : 0.7269 0.8514 [2025-03-11 05:49:52,546 INFO hook.py line 689 2389709] floor : 0.9602 0.9844 [2025-03-11 05:49:52,546 INFO hook.py line 689 2389709] table : 0.6529 0.7688 [2025-03-11 05:49:52,546 INFO hook.py line 689 2389709] door : 0.6570 0.7752 [2025-03-11 05:49:52,546 INFO hook.py line 689 2389709] couch : 0.7772 0.9197 [2025-03-11 05:49:52,546 INFO hook.py line 689 2389709] cabinet : 0.3638 0.5715 [2025-03-11 05:49:52,546 INFO hook.py line 689 2389709] shelf : 0.4341 0.6036 [2025-03-11 05:49:52,546 INFO hook.py line 689 2389709] desk : 0.5833 0.7891 [2025-03-11 05:49:52,546 INFO hook.py line 689 2389709] office chair : 0.2253 0.3369 [2025-03-11 05:49:52,546 INFO hook.py line 689 2389709] bed : 0.7969 0.8850 [2025-03-11 05:49:52,546 INFO hook.py line 689 2389709] pillow : 0.5397 0.8243 [2025-03-11 05:49:52,550 INFO hook.py line 689 2389709] sink : 0.6462 0.7510 [2025-03-11 05:49:52,550 INFO hook.py line 689 2389709] picture : 0.3824 0.5493 [2025-03-11 05:49:52,550 INFO hook.py line 689 2389709] window : 0.6119 0.7561 [2025-03-11 05:49:52,550 INFO hook.py line 689 2389709] toilet : 0.9455 0.9657 [2025-03-11 05:49:52,550 INFO hook.py line 689 2389709] bookshelf : 0.4636 0.5857 [2025-03-11 05:49:52,550 INFO hook.py line 689 2389709] monitor : 0.8537 0.9112 [2025-03-11 05:49:52,550 INFO hook.py line 689 2389709] curtain : 0.7032 0.8408 [2025-03-11 05:49:52,550 INFO hook.py line 689 2389709] book : 0.4563 0.7073 [2025-03-11 05:49:52,550 INFO hook.py line 689 2389709] armchair : 0.5529 0.8309 [2025-03-11 05:49:52,550 INFO hook.py line 689 2389709] coffee table : 0.6954 0.8013 [2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] box : 0.3110 0.4189 [2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] refrigerator : 0.6409 0.6937 [2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] lamp : 0.6412 0.8050 [2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] kitchen cabinet: 0.6707 0.7722 [2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] towel : 0.5320 0.6683 [2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] clothes : 0.2126 0.4257 [2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] tv : 0.8796 0.8990 [2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] nightstand : 0.6088 0.9002 [2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] counter : 0.2717 0.3803 [2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] dresser : 0.4490 0.6024 [2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] stool : 0.5294 0.7224 [2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] plant : 0.7786 0.8470 [2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] ceiling : 0.9271 0.9627 [2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] bathtub : 0.8831 0.9175 [2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] end table : 0.2423 0.4603 [2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] dining table : 0.0939 0.1186 [2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] keyboard : 0.4315 0.5888 [2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] bag : 0.1841 0.2419 [2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] backpack : 0.5737 0.6580 [2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] toilet paper : 0.4914 0.6166 [2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] printer : 0.4750 0.5873 [2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] tv stand : 0.4379 0.5460 [2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] whiteboard : 0.5050 0.6699 [2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] blanket : 0.0623 0.0886 [2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] shower curtain : 0.6968 0.7883 [2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] trash can : 0.6068 0.7896 [2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] closet : 0.1134 0.1596 [2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] stairs : 0.5154 0.7100 [2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] microwave : 0.6463 0.7753 [2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] stove : 0.6547 0.8649 [2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] shoe : 0.5089 0.6321 [2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] computer tower : 0.5882 0.7941 [2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] bottle : 0.0738 0.1532 [2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] bin : 0.0016 0.0026 [2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] ottoman : 0.2127 0.2293 [2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] bench : 0.3976 0.4636 [2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] board : 0.1391 0.2107 [2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] washing machine: 0.8099 0.9238 [2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] mirror : 0.4120 0.5008 [2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] copier : 0.8488 0.9507 [2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] sofa chair : 0.0882 0.1152 [2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] file cabinet : 0.4746 0.6048 [2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] fan : 0.3711 0.4497 [2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] laptop : 0.5206 0.7996 [2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] shower : 0.3084 0.3277 [2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] paper : 0.0704 0.1109 [2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] person : 0.2371 0.6249 [2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] paper towel dispenser: 0.6405 0.7826 [2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] oven : 0.1653 0.1905 [2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] blinds : 0.0161 0.0183 [2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] plate : 0.0696 0.0945 [2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] blackboard : 0.5798 0.6349 [2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] piano : 0.3650 0.6931 [2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] suitcase : 0.6355 0.7119 [2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] rail : 0.0292 0.0324 [2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] radiator : 0.6607 0.7398 [2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] recycling bin : 0.4311 0.6627 [2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] container : 0.0055 0.0095 [2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] wardrobe : 0.1521 0.1673 [2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] soap dispenser : 0.8174 0.9018 [2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] telephone : 0.2701 0.3939 [2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] bucket : 0.3286 0.4453 [2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] clock : 0.2557 0.3116 [2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] light : 0.0475 0.0555 [2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] laundry basket : 0.0644 0.0746 [2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] pipe : 0.0371 0.0569 [2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] clothes dryer : 0.5523 0.5592 [2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] guitar : 0.5782 0.8097 [2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] toilet paper holder: 0.0351 0.0821 [2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] column : 0.1354 0.1551 [2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] ladder : 0.4512 0.4773 [2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] bathroom stall : 0.4236 0.4880 [2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] shower wall : 0.4526 0.5946 [2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] cup : 0.1875 0.2942 [2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] jacket : 0.2210 0.2752 [2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] storage bin : 0.0004 0.0005 [2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] coffee maker : 0.6127 0.7447 [2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] dishwasher : 0.5086 0.6587 [2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] paper towel roll: 0.2225 0.2514 [2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] mat : 0.2684 0.2925 [2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] windowsill : 0.1105 0.1252 [2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] bar : 0.1732 0.3149 [2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] toaster : 0.4639 0.7178 [2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] bulletin board : 0.2072 0.3918 [2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] ironing board : 0.2239 0.2876 [2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] fireplace : 0.6713 0.7354 [2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] soap dish : 0.3607 0.5058 [2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] kitchen counter: 0.5695 0.6785 [2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] doorframe : 0.4059 0.5475 [2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4716 0.6402 [2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] mini fridge : 0.1178 0.1274 [2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] fire extinguisher: 0.1577 0.2408 [2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] ball : 0.4581 0.7350 [2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] shower curtain rod: 0.3474 0.9154 [2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] water cooler : 0.4527 0.5303 [2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] paper cutter : 0.2253 0.2727 [2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] tray : 0.0913 0.1158 [2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] shower door : 0.1830 0.2646 [2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] pillar : 0.0098 0.0104 [2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] ledge : 0.0631 0.0866 [2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] mouse : 0.0549 0.3761 [2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6922 0.8576 [2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] cart : 0.1600 0.1837 [2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] scale : 0.3808 0.9354 [2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] tissue box : 0.2437 0.2895 [2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] light switch : 0.0404 0.1043 [2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] power outlet : 0.2279 0.4675 [2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] decoration : 0.2299 0.3395 [2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] projector : 0.1743 1.0000 [2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] closet door : 0.0662 0.0788 [2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] vacuum cleaner : 0.8243 0.9852 [2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] plunger : 0.3638 0.9873 [2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] headphones : 0.0276 0.0381 [2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] dish rack : 0.8369 0.9692 [2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] broom : 0.0444 0.0680 [2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] range hood : 0.7245 0.8965 [2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] dustpan : 0.0675 0.0901 [2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] handicap bar : 0.0308 0.4438 [2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] vent : 0.1260 0.1527 [2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] shower floor : 0.9053 0.9900 [2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] mailbox : 0.4799 0.4990 [2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] bowl : 0.1227 0.1478 [2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] paper bag : 0.1048 0.1400 [2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] divider : 0.4756 0.5231 [2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] bathroom counter: 0.2161 0.2508 [2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] object : 0.0530 0.0962 [2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] bathroom vanity: 0.5481 0.8079 [2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] closet wall : 0.0234 0.0315 [2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] laundry hamper : 0.0763 0.1167 [2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] bathroom stall door: 0.6014 0.7052 [2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] ceiling light : 0.4026 0.5744 [2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] trash bin : 0.2898 0.3694 [2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] dumbbell : 0.9070 0.9689 [2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] stair rail : 0.1742 0.2016 [2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] tube : 0.1012 0.1471 [2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] bathroom cabinet: 0.6002 0.8240 [2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] closet rod : 0.3236 0.8150 [2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] coffee kettle : 0.4212 0.4637 [2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] shower head : 0.2635 0.4157 [2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] keyboard piano : 0.0384 0.0454 [2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] case of water bottles: 0.1929 0.1929 [2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] coat rack : 0.0053 0.0217 [2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] fire alarm : 0.0924 0.5238 [2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] mattress : 0.0278 0.0284 [2025-03-11 05:49:52,560 INFO hook.py line 690 2389709] ######################################## [2025-03-11 05:49:52,560 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3185/0.4179/0.8244. [2025-03-11 05:49:52,561 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 05:49:52,588 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3257 [2025-03-11 05:49:52,588 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 05:50:22,661 INFO hook.py line 566 2389709] Train: [82/100][50/300] Data 0.003 (0.003) Batch 0.511 (0.499) Remain 00:47:01 loss: 0.6283 Lr: 4.71290e-04 [2025-03-11 05:50:47,613 INFO hook.py line 566 2389709] Train: [82/100][100/300] Data 0.002 (0.002) Batch 0.562 (0.499) Remain 00:46:35 loss: 0.2582 Lr: 4.63273e-04 [2025-03-11 05:51:11,887 INFO hook.py line 566 2389709] Train: [82/100][150/300] Data 0.004 (0.003) Batch 0.463 (0.495) Remain 00:45:44 loss: 0.3329 Lr: 4.55318e-04 [2025-03-11 05:51:36,782 INFO hook.py line 566 2389709] Train: [82/100][200/300] Data 0.003 (0.003) Batch 0.553 (0.495) Remain 00:45:24 loss: 0.4049 Lr: 4.47425e-04 [2025-03-11 05:52:01,132 INFO hook.py line 566 2389709] Train: [82/100][250/300] Data 0.003 (0.002) Batch 0.483 (0.494) Remain 00:44:50 loss: 0.3140 Lr: 4.39594e-04 [2025-03-11 05:52:24,675 INFO hook.py line 566 2389709] Train: [82/100][300/300] Data 0.002 (0.002) Batch 0.508 (0.490) Remain 00:44:05 loss: 0.2639 Lr: 4.31826e-04 [2025-03-11 05:52:24,676 INFO misc.py line 135 2389709] Train result: loss: 0.4575 [2025-03-11 05:52:24,778 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 05:53:14,692 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3139 [2025-03-11 05:53:14,735 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.1771 [2025-03-11 05:53:14,775 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.3625 [2025-03-11 05:53:14,826 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.3803 [2025-03-11 05:53:14,867 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9011 [2025-03-11 05:53:14,923 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.3328 [2025-03-11 05:53:14,976 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7875 [2025-03-11 05:53:15,012 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2550 [2025-03-11 05:53:15,062 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3692 [2025-03-11 05:53:15,105 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.3182 [2025-03-11 05:53:15,158 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3288 [2025-03-11 05:53:15,202 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.5182 [2025-03-11 05:53:15,250 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.6541 [2025-03-11 05:53:15,294 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4769 [2025-03-11 05:53:15,331 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1822 [2025-03-11 05:53:15,384 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0756 [2025-03-11 05:53:15,423 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4426 [2025-03-11 05:53:15,459 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9623 [2025-03-11 05:53:15,511 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5944 [2025-03-11 05:53:15,549 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7883 [2025-03-11 05:53:15,585 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7187 [2025-03-11 05:53:15,627 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7724 [2025-03-11 05:53:15,664 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5467 [2025-03-11 05:53:15,720 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9728 [2025-03-11 05:53:15,761 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4708 [2025-03-11 05:53:15,803 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4603 [2025-03-11 05:53:15,861 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0087 [2025-03-11 05:53:15,905 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7910 [2025-03-11 05:53:15,935 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1614 [2025-03-11 05:53:15,990 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5523 [2025-03-11 05:53:16,049 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4719 [2025-03-11 05:53:16,090 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4866 [2025-03-11 05:53:16,149 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7388 [2025-03-11 05:53:16,188 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.8437 [2025-03-11 05:53:16,224 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1760 [2025-03-11 05:53:16,270 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4720 [2025-03-11 05:53:16,317 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.3887 [2025-03-11 05:53:16,350 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8910 [2025-03-11 05:53:16,420 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.1792 [2025-03-11 05:53:16,467 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3840 [2025-03-11 05:53:16,515 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3550 [2025-03-11 05:53:16,550 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4422 [2025-03-11 05:53:16,594 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2297 [2025-03-11 05:53:16,655 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8332 [2025-03-11 05:53:16,691 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.8920 [2025-03-11 05:53:16,739 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1382 [2025-03-11 05:53:16,780 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.3072 [2025-03-11 05:53:16,815 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0602 [2025-03-11 05:53:16,850 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.9840 [2025-03-11 05:53:16,889 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5248 [2025-03-11 05:53:16,920 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.1907 [2025-03-11 05:53:16,956 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7429 [2025-03-11 05:53:16,985 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3929 [2025-03-11 05:53:17,025 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.3674 [2025-03-11 05:53:17,068 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4650 [2025-03-11 05:53:17,112 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8875 [2025-03-11 05:53:17,151 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.1351 [2025-03-11 05:53:17,181 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.8196 [2025-03-11 05:53:17,220 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8131 [2025-03-11 05:53:17,256 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6344 [2025-03-11 05:53:17,283 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8087 [2025-03-11 05:53:17,319 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9901 [2025-03-11 05:53:17,356 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.9460 [2025-03-11 05:53:17,415 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8990 [2025-03-11 05:53:17,443 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3336 [2025-03-11 05:53:17,492 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.9530 [2025-03-11 05:53:17,532 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8938 [2025-03-11 05:53:17,571 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9915 [2025-03-11 05:53:17,606 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3711 [2025-03-11 05:53:17,672 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.2037 [2025-03-11 05:53:17,718 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.1709 [2025-03-11 05:53:17,774 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9989 [2025-03-11 05:53:17,827 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6932 [2025-03-11 05:53:17,875 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.6509 [2025-03-11 05:53:17,930 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6345 [2025-03-11 05:53:17,963 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9354 [2025-03-11 05:53:18,022 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5534 [2025-03-11 05:53:18,049 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8345 [2025-03-11 05:53:19,376 INFO hook.py line 674 2389709] ######################################## [2025-03-11 05:53:19,376 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 05:53:19,380 INFO hook.py line 680 2389709] ######################################## [2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] wall : 0.7926 0.9284 [2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] chair : 0.7299 0.8575 [2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] floor : 0.9582 0.9838 [2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] table : 0.6481 0.7714 [2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] door : 0.6702 0.8031 [2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] couch : 0.7893 0.9246 [2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] cabinet : 0.3584 0.5604 [2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] shelf : 0.3959 0.5555 [2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] desk : 0.5750 0.7920 [2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] office chair : 0.1976 0.3043 [2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] bed : 0.8033 0.8932 [2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] pillow : 0.5883 0.7505 [2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] sink : 0.6790 0.7661 [2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] picture : 0.3806 0.5136 [2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] window : 0.5955 0.7438 [2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] toilet : 0.9412 0.9695 [2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] bookshelf : 0.4616 0.6049 [2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] monitor : 0.8610 0.9231 [2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] curtain : 0.7137 0.8276 [2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] book : 0.4533 0.7681 [2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] armchair : 0.5514 0.7044 [2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] coffee table : 0.6788 0.8654 [2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] box : 0.3449 0.5607 [2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] refrigerator : 0.6435 0.6755 [2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] lamp : 0.6977 0.8361 [2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] kitchen cabinet: 0.6349 0.7298 [2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] towel : 0.5065 0.6044 [2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] clothes : 0.1811 0.3704 [2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] tv : 0.8665 0.9112 [2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] nightstand : 0.6907 0.8887 [2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] counter : 0.3348 0.5072 [2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] dresser : 0.4396 0.5974 [2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] stool : 0.6088 0.7633 [2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] plant : 0.7731 0.8933 [2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] ceiling : 0.9291 0.9663 [2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] bathtub : 0.8782 0.9193 [2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] end table : 0.2500 0.3472 [2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] dining table : 0.0701 0.1118 [2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] keyboard : 0.4364 0.6360 [2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] bag : 0.1114 0.1463 [2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] backpack : 0.5920 0.6367 [2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] toilet paper : 0.4899 0.6123 [2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] printer : 0.4790 0.6066 [2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] tv stand : 0.3515 0.4764 [2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] whiteboard : 0.5160 0.7322 [2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] blanket : 0.0050 0.0066 [2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] shower curtain : 0.6584 0.7190 [2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] trash can : 0.6249 0.8471 [2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] closet : 0.1045 0.1585 [2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] stairs : 0.4367 0.6708 [2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] microwave : 0.5416 0.7135 [2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] stove : 0.6552 0.8601 [2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] shoe : 0.5196 0.6963 [2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] computer tower : 0.5858 0.7962 [2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] bottle : 0.1312 0.2875 [2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] bin : 0.0005 0.0010 [2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] ottoman : 0.3803 0.5091 [2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] bench : 0.3310 0.3557 [2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] board : 0.1926 0.3064 [2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] washing machine: 0.8338 0.9288 [2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] mirror : 0.4140 0.5182 [2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] copier : 0.8786 0.9379 [2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] sofa chair : 0.1895 0.2609 [2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] file cabinet : 0.4169 0.5223 [2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] fan : 0.3550 0.4363 [2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] laptop : 0.5696 0.7188 [2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] shower : 0.2158 0.2210 [2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] paper : 0.0797 0.1121 [2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] person : 0.2669 0.5315 [2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] paper towel dispenser: 0.6294 0.8245 [2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] oven : 0.1435 0.1511 [2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] blinds : 0.0117 0.0122 [2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] blackboard : 0.5577 0.6619 [2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] piano : 0.4500 0.4937 [2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] suitcase : 0.6442 0.8360 [2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] rail : 0.0447 0.0489 [2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] radiator : 0.6778 0.7479 [2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] recycling bin : 0.4423 0.6395 [2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] container : 0.0000 0.0000 [2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] wardrobe : 0.0912 0.1186 [2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] soap dispenser : 0.8074 0.9226 [2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] telephone : 0.3332 0.4297 [2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] bucket : 0.2499 0.3592 [2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] clock : 0.2448 0.2936 [2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] light : 0.0531 0.0590 [2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] laundry basket : 0.0519 0.0624 [2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] pipe : 0.0380 0.0550 [2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] clothes dryer : 0.5453 0.5580 [2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] guitar : 0.7629 0.8903 [2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] toilet paper holder: 0.0290 0.1272 [2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] column : 0.0017 0.0022 [2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] ladder : 0.5558 0.5877 [2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] bathroom stall : 0.4227 0.4758 [2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] shower wall : 0.4773 0.6368 [2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] cup : 0.2310 0.4581 [2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] jacket : 0.2430 0.3432 [2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 [2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] coffee maker : 0.8120 0.8865 [2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] dishwasher : 0.2642 0.3763 [2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] paper towel roll: 0.3122 0.3493 [2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] mat : 0.1642 0.1740 [2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] windowsill : 0.1138 0.1162 [2025-03-11 05:53:19,386 INFO hook.py line 689 2389709] bar : 0.1751 0.2752 [2025-03-11 05:53:19,386 INFO hook.py line 689 2389709] toaster : 0.4368 0.6968 [2025-03-11 05:53:19,386 INFO hook.py line 689 2389709] bulletin board : 0.2023 0.3287 [2025-03-11 05:53:19,386 INFO hook.py line 689 2389709] ironing board : 0.1184 0.1246 [2025-03-11 05:53:19,386 INFO hook.py line 689 2389709] fireplace : 0.6956 0.7381 [2025-03-11 05:53:19,386 INFO hook.py line 689 2389709] soap dish : 0.3795 0.5307 [2025-03-11 05:53:19,386 INFO hook.py line 689 2389709] kitchen counter: 0.5692 0.6818 [2025-03-11 05:53:19,386 INFO hook.py line 689 2389709] doorframe : 0.4343 0.6667 [2025-03-11 05:53:19,386 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4246 0.5041 [2025-03-11 05:53:19,386 INFO hook.py line 689 2389709] mini fridge : 0.3380 0.3845 [2025-03-11 05:53:19,389 INFO hook.py line 689 2389709] fire extinguisher: 0.2082 0.2690 [2025-03-11 05:53:19,389 INFO hook.py line 689 2389709] ball : 0.5606 0.6958 [2025-03-11 05:53:19,389 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 05:53:19,389 INFO hook.py line 689 2389709] shower curtain rod: 0.3494 0.9277 [2025-03-11 05:53:19,389 INFO hook.py line 689 2389709] water cooler : 0.7536 0.8014 [2025-03-11 05:53:19,389 INFO hook.py line 689 2389709] paper cutter : 0.2186 0.2542 [2025-03-11 05:53:19,389 INFO hook.py line 689 2389709] tray : 0.0962 0.1157 [2025-03-11 05:53:19,389 INFO hook.py line 689 2389709] shower door : 0.2121 0.2827 [2025-03-11 05:53:19,389 INFO hook.py line 689 2389709] pillar : 0.0008 0.0008 [2025-03-11 05:53:19,389 INFO hook.py line 689 2389709] ledge : 0.0367 0.0468 [2025-03-11 05:53:19,389 INFO hook.py line 689 2389709] toaster oven : 0.0004 0.0005 [2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] mouse : 0.1245 0.6009 [2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6834 0.7914 [2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] cart : 0.1659 0.1976 [2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] scale : 0.4967 0.9424 [2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] tissue box : 0.2662 0.3261 [2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] light switch : 0.0215 0.0470 [2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] power outlet : 0.2284 0.3547 [2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] decoration : 0.3063 0.4344 [2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] projector : 0.1272 1.0000 [2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] closet door : 0.0578 0.0623 [2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] vacuum cleaner : 0.8579 0.9771 [2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] plunger : 0.5706 0.9743 [2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] headphones : 0.0270 0.0401 [2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] dish rack : 0.8517 0.9627 [2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] broom : 0.1195 0.1443 [2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] range hood : 0.6898 0.7976 [2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] dustpan : 0.1502 0.2543 [2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] handicap bar : 0.0313 0.4006 [2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] vent : 0.0419 0.0877 [2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] shower floor : 0.9037 0.9878 [2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] mailbox : 0.4398 0.4510 [2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] bowl : 0.0407 0.0544 [2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] paper bag : 0.0710 0.0791 [2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] divider : 0.3967 0.4295 [2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] bathroom counter: 0.2489 0.3054 [2025-03-11 05:53:19,392 INFO hook.py line 689 2389709] object : 0.0393 0.0626 [2025-03-11 05:53:19,392 INFO hook.py line 689 2389709] bathroom vanity: 0.5457 0.8271 [2025-03-11 05:53:19,392 INFO hook.py line 689 2389709] closet wall : 0.0436 0.0638 [2025-03-11 05:53:19,392 INFO hook.py line 689 2389709] laundry hamper : 0.0004 0.0005 [2025-03-11 05:53:19,392 INFO hook.py line 689 2389709] bathroom stall door: 0.5907 0.6878 [2025-03-11 05:53:19,392 INFO hook.py line 689 2389709] ceiling light : 0.4400 0.5124 [2025-03-11 05:53:19,392 INFO hook.py line 689 2389709] trash bin : 0.2080 0.2894 [2025-03-11 05:53:19,393 INFO hook.py line 689 2389709] dumbbell : 0.8968 0.9751 [2025-03-11 05:53:19,393 INFO hook.py line 689 2389709] stair rail : 0.1328 0.1501 [2025-03-11 05:53:19,393 INFO hook.py line 689 2389709] tube : 0.1066 0.1283 [2025-03-11 05:53:19,393 INFO hook.py line 689 2389709] bathroom cabinet: 0.5054 0.6029 [2025-03-11 05:53:19,393 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 05:53:19,393 INFO hook.py line 689 2389709] closet rod : 0.4102 0.7806 [2025-03-11 05:53:19,393 INFO hook.py line 689 2389709] coffee kettle : 0.3733 0.5491 [2025-03-11 05:53:19,393 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 05:53:19,393 INFO hook.py line 689 2389709] shower head : 0.2978 0.3545 [2025-03-11 05:53:19,393 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 05:53:19,393 INFO hook.py line 689 2389709] case of water bottles: 0.0132 0.0132 [2025-03-11 05:53:19,393 INFO hook.py line 689 2389709] coat rack : 0.0015 0.0048 [2025-03-11 05:53:19,394 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 05:53:19,394 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 05:53:19,395 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 05:53:19,395 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 05:53:19,395 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 05:53:19,395 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 05:53:19,395 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 05:53:19,395 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 05:53:19,395 INFO hook.py line 689 2389709] mattress : 0.0655 0.0656 [2025-03-11 05:53:19,395 INFO hook.py line 690 2389709] ######################################## [2025-03-11 05:53:19,395 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3212/0.4112/0.8239. [2025-03-11 05:53:19,395 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 05:53:19,409 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3257 [2025-03-11 05:53:19,410 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 05:53:49,438 INFO hook.py line 566 2389709] Train: [83/100][50/300] Data 0.002 (0.002) Batch 0.471 (0.494) Remain 00:44:03 loss: 0.4951 Lr: 4.24121e-04 [2025-03-11 05:54:14,569 INFO hook.py line 566 2389709] Train: [83/100][100/300] Data 0.004 (0.002) Batch 0.509 (0.498) Remain 00:44:01 loss: 0.7609 Lr: 4.16479e-04 [2025-03-11 05:54:39,588 INFO hook.py line 566 2389709] Train: [83/100][150/300] Data 0.002 (0.002) Batch 0.507 (0.499) Remain 00:43:40 loss: 0.5416 Lr: 4.08901e-04 [2025-03-11 05:55:04,417 INFO hook.py line 566 2389709] Train: [83/100][200/300] Data 0.003 (0.002) Batch 0.540 (0.498) Remain 00:43:12 loss: 0.4190 Lr: 4.01385e-04 [2025-03-11 05:55:28,621 INFO hook.py line 566 2389709] Train: [83/100][250/300] Data 0.003 (0.003) Batch 0.464 (0.496) Remain 00:42:32 loss: 0.3146 Lr: 3.93934e-04 [2025-03-11 05:55:52,725 INFO hook.py line 566 2389709] Train: [83/100][300/300] Data 0.002 (0.002) Batch 0.438 (0.493) Remain 00:41:55 loss: 0.2742 Lr: 3.86546e-04 [2025-03-11 05:55:52,725 INFO misc.py line 135 2389709] Train result: loss: 0.4444 [2025-03-11 05:55:52,820 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 05:56:40,435 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3345 [2025-03-11 05:56:40,487 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.1966 [2025-03-11 05:56:40,526 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5409 [2025-03-11 05:56:40,576 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4213 [2025-03-11 05:56:40,618 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9314 [2025-03-11 05:56:40,679 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1804 [2025-03-11 05:56:40,732 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8910 [2025-03-11 05:56:40,769 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2557 [2025-03-11 05:56:40,813 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2903 [2025-03-11 05:56:40,849 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1656 [2025-03-11 05:56:40,898 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1702 [2025-03-11 05:56:40,931 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1869 [2025-03-11 05:56:40,980 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.1733 [2025-03-11 05:56:41,028 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.7691 [2025-03-11 05:56:41,066 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.5206 [2025-03-11 05:56:41,111 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0870 [2025-03-11 05:56:41,149 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4561 [2025-03-11 05:56:41,186 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9994 [2025-03-11 05:56:41,232 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.6659 [2025-03-11 05:56:41,267 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7516 [2025-03-11 05:56:41,302 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6990 [2025-03-11 05:56:41,342 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8866 [2025-03-11 05:56:41,373 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3687 [2025-03-11 05:56:41,425 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9442 [2025-03-11 05:56:41,471 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7402 [2025-03-11 05:56:41,520 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4597 [2025-03-11 05:56:41,577 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8701 [2025-03-11 05:56:41,620 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8245 [2025-03-11 05:56:41,653 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0873 [2025-03-11 05:56:41,707 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.7392 [2025-03-11 05:56:41,764 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5053 [2025-03-11 05:56:41,798 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4196 [2025-03-11 05:56:41,856 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7645 [2025-03-11 05:56:41,899 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.1430 [2025-03-11 05:56:41,939 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2089 [2025-03-11 05:56:41,977 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.6907 [2025-03-11 05:56:42,016 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2994 [2025-03-11 05:56:42,047 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9311 [2025-03-11 05:56:42,125 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.1274 [2025-03-11 05:56:42,175 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3037 [2025-03-11 05:56:42,221 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4175 [2025-03-11 05:56:42,253 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4319 [2025-03-11 05:56:42,289 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1155 [2025-03-11 05:56:42,348 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8391 [2025-03-11 05:56:42,383 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.5017 [2025-03-11 05:56:42,431 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1983 [2025-03-11 05:56:42,473 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.1458 [2025-03-11 05:56:42,507 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0843 [2025-03-11 05:56:42,537 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.8511 [2025-03-11 05:56:42,570 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.6632 [2025-03-11 05:56:42,600 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0464 [2025-03-11 05:56:42,635 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.9462 [2025-03-11 05:56:42,663 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3694 [2025-03-11 05:56:42,698 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.3190 [2025-03-11 05:56:42,735 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.5069 [2025-03-11 05:56:42,776 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8529 [2025-03-11 05:56:42,808 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.7236 [2025-03-11 05:56:42,833 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7179 [2025-03-11 05:56:42,872 INFO hook.py line 748 2389709] Test: [59/78] Loss 1.0513 [2025-03-11 05:56:42,909 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4869 [2025-03-11 05:56:42,933 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8094 [2025-03-11 05:56:42,969 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0004 [2025-03-11 05:56:43,004 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2218 [2025-03-11 05:56:43,062 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8901 [2025-03-11 05:56:43,090 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.5201 [2025-03-11 05:56:43,133 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.4931 [2025-03-11 05:56:43,172 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9334 [2025-03-11 05:56:43,208 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0830 [2025-03-11 05:56:43,238 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3585 [2025-03-11 05:56:43,298 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.8390 [2025-03-11 05:56:43,342 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7037 [2025-03-11 05:56:43,396 INFO hook.py line 748 2389709] Test: [72/78] Loss 2.0392 [2025-03-11 05:56:43,450 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6921 [2025-03-11 05:56:43,493 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.8755 [2025-03-11 05:56:43,544 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6888 [2025-03-11 05:56:43,572 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0042 [2025-03-11 05:56:43,631 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7213 [2025-03-11 05:56:43,657 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8806 [2025-03-11 05:56:44,912 INFO hook.py line 674 2389709] ######################################## [2025-03-11 05:56:44,912 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 05:56:44,912 INFO hook.py line 680 2389709] ######################################## [2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] wall : 0.7935 0.9303 [2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] chair : 0.7375 0.8794 [2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] floor : 0.9575 0.9821 [2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] table : 0.6483 0.7681 [2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] door : 0.6720 0.8034 [2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] couch : 0.8108 0.9264 [2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] cabinet : 0.3769 0.5821 [2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] shelf : 0.3992 0.5044 [2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] desk : 0.5792 0.7919 [2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] office chair : 0.1863 0.2608 [2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] bed : 0.7895 0.8512 [2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] pillow : 0.5837 0.7733 [2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] sink : 0.6579 0.7405 [2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] picture : 0.3904 0.5169 [2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] window : 0.6040 0.7432 [2025-03-11 05:56:44,914 INFO hook.py line 689 2389709] toilet : 0.9460 0.9624 [2025-03-11 05:56:44,914 INFO hook.py line 689 2389709] bookshelf : 0.4954 0.7018 [2025-03-11 05:56:44,914 INFO hook.py line 689 2389709] monitor : 0.8449 0.8905 [2025-03-11 05:56:44,914 INFO hook.py line 689 2389709] curtain : 0.6973 0.8535 [2025-03-11 05:56:44,914 INFO hook.py line 689 2389709] book : 0.4629 0.7038 [2025-03-11 05:56:44,914 INFO hook.py line 689 2389709] armchair : 0.5649 0.7549 [2025-03-11 05:56:44,914 INFO hook.py line 689 2389709] coffee table : 0.7267 0.8655 [2025-03-11 05:56:44,914 INFO hook.py line 689 2389709] box : 0.3329 0.4559 [2025-03-11 05:56:44,914 INFO hook.py line 689 2389709] refrigerator : 0.6813 0.7503 [2025-03-11 05:56:44,914 INFO hook.py line 689 2389709] lamp : 0.6966 0.8455 [2025-03-11 05:56:44,914 INFO hook.py line 689 2389709] kitchen cabinet: 0.6590 0.7607 [2025-03-11 05:56:44,915 INFO hook.py line 689 2389709] towel : 0.5585 0.6957 [2025-03-11 05:56:44,915 INFO hook.py line 689 2389709] clothes : 0.1962 0.2893 [2025-03-11 05:56:44,915 INFO hook.py line 689 2389709] tv : 0.8886 0.9179 [2025-03-11 05:56:44,915 INFO hook.py line 689 2389709] nightstand : 0.7140 0.9020 [2025-03-11 05:56:44,915 INFO hook.py line 689 2389709] counter : 0.2971 0.4812 [2025-03-11 05:56:44,915 INFO hook.py line 689 2389709] dresser : 0.4682 0.5881 [2025-03-11 05:56:44,915 INFO hook.py line 689 2389709] stool : 0.5275 0.7760 [2025-03-11 05:56:44,915 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 05:56:44,915 INFO hook.py line 689 2389709] plant : 0.7746 0.8648 [2025-03-11 05:56:44,915 INFO hook.py line 689 2389709] ceiling : 0.9279 0.9706 [2025-03-11 05:56:44,915 INFO hook.py line 689 2389709] bathtub : 0.8849 0.9145 [2025-03-11 05:56:44,916 INFO hook.py line 689 2389709] end table : 0.2498 0.4130 [2025-03-11 05:56:44,916 INFO hook.py line 689 2389709] dining table : 0.0053 0.0087 [2025-03-11 05:56:44,916 INFO hook.py line 689 2389709] keyboard : 0.4029 0.4997 [2025-03-11 05:56:44,916 INFO hook.py line 689 2389709] bag : 0.1477 0.1872 [2025-03-11 05:56:44,916 INFO hook.py line 689 2389709] backpack : 0.5990 0.6852 [2025-03-11 05:56:44,916 INFO hook.py line 689 2389709] toilet paper : 0.4900 0.6044 [2025-03-11 05:56:44,916 INFO hook.py line 689 2389709] printer : 0.5026 0.6146 [2025-03-11 05:56:44,916 INFO hook.py line 689 2389709] tv stand : 0.3386 0.5277 [2025-03-11 05:56:44,916 INFO hook.py line 689 2389709] whiteboard : 0.5139 0.7047 [2025-03-11 05:56:44,916 INFO hook.py line 689 2389709] blanket : 0.0386 0.0581 [2025-03-11 05:56:44,916 INFO hook.py line 689 2389709] shower curtain : 0.6450 0.7240 [2025-03-11 05:56:44,917 INFO hook.py line 689 2389709] trash can : 0.6112 0.7969 [2025-03-11 05:56:44,917 INFO hook.py line 689 2389709] closet : 0.1031 0.1728 [2025-03-11 05:56:44,917 INFO hook.py line 689 2389709] stairs : 0.5576 0.7031 [2025-03-11 05:56:44,917 INFO hook.py line 689 2389709] microwave : 0.5438 0.7397 [2025-03-11 05:56:44,917 INFO hook.py line 689 2389709] stove : 0.6605 0.8483 [2025-03-11 05:56:44,917 INFO hook.py line 689 2389709] shoe : 0.5070 0.6483 [2025-03-11 05:56:44,917 INFO hook.py line 689 2389709] computer tower : 0.5571 0.8238 [2025-03-11 05:56:44,917 INFO hook.py line 689 2389709] bottle : 0.1125 0.2189 [2025-03-11 05:56:44,917 INFO hook.py line 689 2389709] bin : 0.0006 0.0010 [2025-03-11 05:56:44,917 INFO hook.py line 689 2389709] ottoman : 0.2279 0.2400 [2025-03-11 05:56:44,917 INFO hook.py line 689 2389709] bench : 0.4726 0.5547 [2025-03-11 05:56:44,917 INFO hook.py line 689 2389709] board : 0.2040 0.3102 [2025-03-11 05:56:44,918 INFO hook.py line 689 2389709] washing machine: 0.8489 0.9466 [2025-03-11 05:56:44,918 INFO hook.py line 689 2389709] mirror : 0.3912 0.4627 [2025-03-11 05:56:44,918 INFO hook.py line 689 2389709] copier : 0.8520 0.9410 [2025-03-11 05:56:44,918 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 05:56:44,918 INFO hook.py line 689 2389709] sofa chair : 0.1897 0.3450 [2025-03-11 05:56:44,918 INFO hook.py line 689 2389709] file cabinet : 0.4911 0.6529 [2025-03-11 05:56:44,918 INFO hook.py line 689 2389709] fan : 0.3893 0.4634 [2025-03-11 05:56:44,918 INFO hook.py line 689 2389709] laptop : 0.5264 0.6494 [2025-03-11 05:56:44,918 INFO hook.py line 689 2389709] shower : 0.1651 0.1706 [2025-03-11 05:56:44,918 INFO hook.py line 689 2389709] paper : 0.0178 0.0218 [2025-03-11 05:56:44,918 INFO hook.py line 689 2389709] person : 0.3130 0.4999 [2025-03-11 05:56:44,919 INFO hook.py line 689 2389709] paper towel dispenser: 0.5229 0.8376 [2025-03-11 05:56:44,920 INFO hook.py line 689 2389709] oven : 0.1340 0.1406 [2025-03-11 05:56:44,920 INFO hook.py line 689 2389709] blinds : 0.0028 0.0031 [2025-03-11 05:56:44,920 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 05:56:44,920 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 05:56:44,920 INFO hook.py line 689 2389709] blackboard : 0.5598 0.6439 [2025-03-11 05:56:44,920 INFO hook.py line 689 2389709] piano : 0.4294 0.4782 [2025-03-11 05:56:44,920 INFO hook.py line 689 2389709] suitcase : 0.6638 0.7567 [2025-03-11 05:56:44,920 INFO hook.py line 689 2389709] rail : 0.0495 0.0547 [2025-03-11 05:56:44,920 INFO hook.py line 689 2389709] radiator : 0.6760 0.7218 [2025-03-11 05:56:44,920 INFO hook.py line 689 2389709] recycling bin : 0.4649 0.7073 [2025-03-11 05:56:44,920 INFO hook.py line 689 2389709] container : 0.0003 0.0005 [2025-03-11 05:56:44,921 INFO hook.py line 689 2389709] wardrobe : 0.2077 0.3245 [2025-03-11 05:56:44,921 INFO hook.py line 689 2389709] soap dispenser : 0.8644 0.9018 [2025-03-11 05:56:44,921 INFO hook.py line 689 2389709] telephone : 0.3414 0.4585 [2025-03-11 05:56:44,921 INFO hook.py line 689 2389709] bucket : 0.2350 0.3899 [2025-03-11 05:56:44,921 INFO hook.py line 689 2389709] clock : 0.2488 0.3032 [2025-03-11 05:56:44,921 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 05:56:44,921 INFO hook.py line 689 2389709] light : 0.0527 0.0574 [2025-03-11 05:56:44,921 INFO hook.py line 689 2389709] laundry basket : 0.0723 0.0791 [2025-03-11 05:56:44,921 INFO hook.py line 689 2389709] pipe : 0.0579 0.0764 [2025-03-11 05:56:44,921 INFO hook.py line 689 2389709] clothes dryer : 0.5517 0.5584 [2025-03-11 05:56:44,921 INFO hook.py line 689 2389709] guitar : 0.6815 0.8936 [2025-03-11 05:56:44,922 INFO hook.py line 689 2389709] toilet paper holder: 0.1123 0.2203 [2025-03-11 05:56:44,922 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 05:56:44,922 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 05:56:44,922 INFO hook.py line 689 2389709] column : 0.1333 0.1633 [2025-03-11 05:56:44,922 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 05:56:44,922 INFO hook.py line 689 2389709] ladder : 0.4977 0.6532 [2025-03-11 05:56:44,922 INFO hook.py line 689 2389709] bathroom stall : 0.3999 0.4373 [2025-03-11 05:56:44,922 INFO hook.py line 689 2389709] shower wall : 0.4324 0.5366 [2025-03-11 05:56:44,922 INFO hook.py line 689 2389709] cup : 0.1703 0.3001 [2025-03-11 05:56:44,922 INFO hook.py line 689 2389709] jacket : 0.2425 0.3152 [2025-03-11 05:56:44,922 INFO hook.py line 689 2389709] storage bin : 0.0584 0.0776 [2025-03-11 05:56:44,923 INFO hook.py line 689 2389709] coffee maker : 0.7681 0.9595 [2025-03-11 05:56:44,923 INFO hook.py line 689 2389709] dishwasher : 0.2378 0.3258 [2025-03-11 05:56:44,923 INFO hook.py line 689 2389709] paper towel roll: 0.3114 0.3913 [2025-03-11 05:56:44,923 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 05:56:44,923 INFO hook.py line 689 2389709] mat : 0.1899 0.2023 [2025-03-11 05:56:44,923 INFO hook.py line 689 2389709] windowsill : 0.1132 0.1260 [2025-03-11 05:56:44,923 INFO hook.py line 689 2389709] bar : 0.1704 0.2556 [2025-03-11 05:56:44,923 INFO hook.py line 689 2389709] toaster : 0.3452 0.9117 [2025-03-11 05:56:44,923 INFO hook.py line 689 2389709] bulletin board : 0.2023 0.3262 [2025-03-11 05:56:44,923 INFO hook.py line 689 2389709] ironing board : 0.1638 0.1729 [2025-03-11 05:56:44,923 INFO hook.py line 689 2389709] fireplace : 0.6579 0.6882 [2025-03-11 05:56:44,924 INFO hook.py line 689 2389709] soap dish : 0.3836 0.5289 [2025-03-11 05:56:44,924 INFO hook.py line 689 2389709] kitchen counter: 0.5605 0.6889 [2025-03-11 05:56:44,924 INFO hook.py line 689 2389709] doorframe : 0.4199 0.6665 [2025-03-11 05:56:44,924 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4371 0.5206 [2025-03-11 05:56:44,924 INFO hook.py line 689 2389709] mini fridge : 0.2866 0.3211 [2025-03-11 05:56:44,924 INFO hook.py line 689 2389709] fire extinguisher: 0.2212 0.2563 [2025-03-11 05:56:44,924 INFO hook.py line 689 2389709] ball : 0.4974 0.6574 [2025-03-11 05:56:44,924 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 05:56:44,924 INFO hook.py line 689 2389709] shower curtain rod: 0.3531 0.9321 [2025-03-11 05:56:44,924 INFO hook.py line 689 2389709] water cooler : 0.7955 0.9137 [2025-03-11 05:56:44,925 INFO hook.py line 689 2389709] paper cutter : 0.2716 0.3067 [2025-03-11 05:56:44,925 INFO hook.py line 689 2389709] tray : 0.0389 0.0680 [2025-03-11 05:56:44,925 INFO hook.py line 689 2389709] shower door : 0.2541 0.3222 [2025-03-11 05:56:44,925 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 05:56:44,925 INFO hook.py line 689 2389709] ledge : 0.0433 0.0612 [2025-03-11 05:56:44,925 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 05:56:44,925 INFO hook.py line 689 2389709] mouse : 0.0916 0.4737 [2025-03-11 05:56:44,925 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6796 0.7837 [2025-03-11 05:56:44,925 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 05:56:44,925 INFO hook.py line 689 2389709] cart : 0.2144 0.2492 [2025-03-11 05:56:44,926 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 05:56:44,926 INFO hook.py line 689 2389709] scale : 0.4344 0.9342 [2025-03-11 05:56:44,926 INFO hook.py line 689 2389709] tissue box : 0.1940 0.2461 [2025-03-11 05:56:44,926 INFO hook.py line 689 2389709] light switch : 0.0281 0.0687 [2025-03-11 05:56:44,926 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 05:56:44,926 INFO hook.py line 689 2389709] power outlet : 0.2879 0.4422 [2025-03-11 05:56:44,926 INFO hook.py line 689 2389709] decoration : 0.2439 0.2995 [2025-03-11 05:56:44,926 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 05:56:44,926 INFO hook.py line 689 2389709] projector : 0.0365 1.0000 [2025-03-11 05:56:44,926 INFO hook.py line 689 2389709] closet door : 0.0629 0.0676 [2025-03-11 05:56:44,927 INFO hook.py line 689 2389709] vacuum cleaner : 0.9117 0.9795 [2025-03-11 05:56:44,927 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 05:56:44,927 INFO hook.py line 689 2389709] plunger : 0.4231 0.9778 [2025-03-11 05:56:44,927 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 05:56:44,927 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 [2025-03-11 05:56:44,927 INFO hook.py line 689 2389709] dish rack : 0.7736 0.9705 [2025-03-11 05:56:44,927 INFO hook.py line 689 2389709] broom : 0.0745 0.1170 [2025-03-11 05:56:44,927 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 05:56:44,927 INFO hook.py line 689 2389709] range hood : 0.7695 0.8804 [2025-03-11 05:56:44,927 INFO hook.py line 689 2389709] dustpan : 0.1358 0.2214 [2025-03-11 05:56:44,927 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 05:56:44,928 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 05:56:44,928 INFO hook.py line 689 2389709] handicap bar : 0.0382 0.4407 [2025-03-11 05:56:44,928 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 05:56:44,928 INFO hook.py line 689 2389709] vent : 0.0372 0.0393 [2025-03-11 05:56:44,928 INFO hook.py line 689 2389709] shower floor : 0.8760 0.9922 [2025-03-11 05:56:44,928 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 05:56:44,928 INFO hook.py line 689 2389709] mailbox : 0.4816 0.5261 [2025-03-11 05:56:44,928 INFO hook.py line 689 2389709] bowl : 0.0135 0.0179 [2025-03-11 05:56:44,928 INFO hook.py line 689 2389709] paper bag : 0.1379 0.1899 [2025-03-11 05:56:44,928 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 05:56:44,928 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 05:56:44,929 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 05:56:44,929 INFO hook.py line 689 2389709] divider : 0.3217 0.3396 [2025-03-11 05:56:44,929 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 05:56:44,929 INFO hook.py line 689 2389709] bathroom counter: 0.2116 0.2564 [2025-03-11 05:56:44,929 INFO hook.py line 689 2389709] object : 0.0467 0.0841 [2025-03-11 05:56:44,929 INFO hook.py line 689 2389709] bathroom vanity: 0.5190 0.8387 [2025-03-11 05:56:44,929 INFO hook.py line 689 2389709] closet wall : 0.0029 0.0037 [2025-03-11 05:56:44,929 INFO hook.py line 689 2389709] laundry hamper : 0.0681 0.0795 [2025-03-11 05:56:44,929 INFO hook.py line 689 2389709] bathroom stall door: 0.5968 0.7383 [2025-03-11 05:56:44,929 INFO hook.py line 689 2389709] ceiling light : 0.4411 0.5144 [2025-03-11 05:56:44,929 INFO hook.py line 689 2389709] trash bin : 0.2596 0.3460 [2025-03-11 05:56:44,930 INFO hook.py line 689 2389709] dumbbell : 0.8316 0.9780 [2025-03-11 05:56:44,930 INFO hook.py line 689 2389709] stair rail : 0.0847 0.0990 [2025-03-11 05:56:44,930 INFO hook.py line 689 2389709] tube : 0.1145 0.1336 [2025-03-11 05:56:44,930 INFO hook.py line 689 2389709] bathroom cabinet: 0.3441 0.5177 [2025-03-11 05:56:44,930 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 05:56:44,930 INFO hook.py line 689 2389709] closet rod : 0.3803 0.6232 [2025-03-11 05:56:44,930 INFO hook.py line 689 2389709] coffee kettle : 0.5054 0.7490 [2025-03-11 05:56:44,930 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 05:56:44,930 INFO hook.py line 689 2389709] shower head : 0.3291 0.4037 [2025-03-11 05:56:44,930 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 05:56:44,930 INFO hook.py line 689 2389709] case of water bottles: 0.1102 0.1109 [2025-03-11 05:56:44,931 INFO hook.py line 689 2389709] coat rack : 0.0329 0.0813 [2025-03-11 05:56:44,931 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 05:56:44,931 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 05:56:44,931 INFO hook.py line 689 2389709] fire alarm : 0.0693 0.5556 [2025-03-11 05:56:44,931 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 05:56:44,931 INFO hook.py line 689 2389709] calendar : 0.0328 0.1495 [2025-03-11 05:56:44,931 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 05:56:44,931 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 05:56:44,932 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 05:56:44,932 INFO hook.py line 689 2389709] mattress : 0.0995 0.0997 [2025-03-11 05:56:44,932 INFO hook.py line 690 2389709] ######################################## [2025-03-11 05:56:44,932 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3207/0.4178/0.8260. [2025-03-11 05:56:44,933 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 05:56:44,955 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3257 [2025-03-11 05:56:44,956 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 05:57:15,233 INFO hook.py line 566 2389709] Train: [84/100][50/300] Data 0.001 (0.003) Batch 0.518 (0.493) Remain 00:41:29 loss: 0.2854 Lr: 3.79223e-04 [2025-03-11 05:57:39,693 INFO hook.py line 566 2389709] Train: [84/100][100/300] Data 0.002 (0.002) Batch 0.480 (0.491) Remain 00:40:55 loss: 0.3085 Lr: 3.71964e-04 [2025-03-11 05:58:04,079 INFO hook.py line 566 2389709] Train: [84/100][150/300] Data 0.002 (0.002) Batch 0.515 (0.490) Remain 00:40:25 loss: 0.4171 Lr: 3.64770e-04 [2025-03-11 05:58:28,492 INFO hook.py line 566 2389709] Train: [84/100][200/300] Data 0.002 (0.002) Batch 0.474 (0.489) Remain 00:39:58 loss: 0.4498 Lr: 3.57641e-04 [2025-03-11 05:58:53,580 INFO hook.py line 566 2389709] Train: [84/100][250/300] Data 0.002 (0.002) Batch 0.550 (0.492) Remain 00:39:46 loss: 0.4361 Lr: 3.50576e-04 [2025-03-11 05:59:17,351 INFO hook.py line 566 2389709] Train: [84/100][300/300] Data 0.002 (0.002) Batch 0.485 (0.489) Remain 00:39:08 loss: 0.3389 Lr: 3.43577e-04 [2025-03-11 05:59:17,351 INFO misc.py line 135 2389709] Train result: loss: 0.4361 [2025-03-11 05:59:17,449 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 06:00:05,177 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3556 [2025-03-11 06:00:05,277 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2758 [2025-03-11 06:00:05,319 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4369 [2025-03-11 06:00:05,372 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.3614 [2025-03-11 06:00:05,412 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9208 [2025-03-11 06:00:05,467 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2358 [2025-03-11 06:00:05,519 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8204 [2025-03-11 06:00:05,550 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.1481 [2025-03-11 06:00:05,596 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2358 [2025-03-11 06:00:05,635 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.3096 [2025-03-11 06:00:05,683 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2061 [2025-03-11 06:00:05,720 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2638 [2025-03-11 06:00:05,769 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.6356 [2025-03-11 06:00:05,811 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.5355 [2025-03-11 06:00:05,847 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1775 [2025-03-11 06:00:05,896 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0672 [2025-03-11 06:00:05,935 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4927 [2025-03-11 06:00:05,977 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1217 [2025-03-11 06:00:06,023 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4991 [2025-03-11 06:00:06,061 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6824 [2025-03-11 06:00:06,100 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7208 [2025-03-11 06:00:06,152 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8493 [2025-03-11 06:00:06,185 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4934 [2025-03-11 06:00:06,238 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9180 [2025-03-11 06:00:06,280 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7602 [2025-03-11 06:00:06,327 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2335 [2025-03-11 06:00:06,383 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0680 [2025-03-11 06:00:06,423 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7469 [2025-03-11 06:00:06,454 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1151 [2025-03-11 06:00:06,508 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.8980 [2025-03-11 06:00:06,569 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4159 [2025-03-11 06:00:06,609 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6302 [2025-03-11 06:00:06,667 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7579 [2025-03-11 06:00:06,708 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3083 [2025-03-11 06:00:06,752 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2807 [2025-03-11 06:00:06,788 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.6410 [2025-03-11 06:00:06,841 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.6390 [2025-03-11 06:00:06,872 INFO hook.py line 748 2389709] Test: [38/78] Loss 1.0267 [2025-03-11 06:00:06,939 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.0791 [2025-03-11 06:00:06,987 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.2320 [2025-03-11 06:00:07,031 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2119 [2025-03-11 06:00:07,060 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4176 [2025-03-11 06:00:07,095 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2118 [2025-03-11 06:00:07,153 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8744 [2025-03-11 06:00:07,188 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.9088 [2025-03-11 06:00:07,236 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1694 [2025-03-11 06:00:07,277 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8962 [2025-03-11 06:00:07,310 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.2223 [2025-03-11 06:00:07,341 INFO hook.py line 748 2389709] Test: [49/78] Loss 2.1387 [2025-03-11 06:00:07,374 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4754 [2025-03-11 06:00:07,405 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2782 [2025-03-11 06:00:07,439 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7665 [2025-03-11 06:00:07,467 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3714 [2025-03-11 06:00:07,506 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.6925 [2025-03-11 06:00:07,544 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.5830 [2025-03-11 06:00:07,589 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8331 [2025-03-11 06:00:07,621 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.8133 [2025-03-11 06:00:07,650 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7938 [2025-03-11 06:00:07,688 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9566 [2025-03-11 06:00:07,724 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.3992 [2025-03-11 06:00:07,751 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7529 [2025-03-11 06:00:07,788 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9874 [2025-03-11 06:00:07,825 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1514 [2025-03-11 06:00:07,888 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8180 [2025-03-11 06:00:07,916 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4601 [2025-03-11 06:00:07,959 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7957 [2025-03-11 06:00:07,997 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9292 [2025-03-11 06:00:08,034 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0109 [2025-03-11 06:00:08,064 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3719 [2025-03-11 06:00:08,125 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7543 [2025-03-11 06:00:08,173 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.6654 [2025-03-11 06:00:08,228 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.8227 [2025-03-11 06:00:08,282 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7276 [2025-03-11 06:00:08,325 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.9799 [2025-03-11 06:00:08,376 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5789 [2025-03-11 06:00:08,404 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.1410 [2025-03-11 06:00:08,462 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5247 [2025-03-11 06:00:08,488 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.1853 [2025-03-11 06:00:09,717 INFO hook.py line 674 2389709] ######################################## [2025-03-11 06:00:09,718 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 06:00:09,718 INFO hook.py line 680 2389709] ######################################## [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] wall : 0.7931 0.9288 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] chair : 0.7273 0.8605 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] floor : 0.9581 0.9829 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] table : 0.6518 0.7901 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] door : 0.6806 0.8166 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] couch : 0.8140 0.9142 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] cabinet : 0.3600 0.5462 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] shelf : 0.4328 0.5886 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] desk : 0.5835 0.8015 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] office chair : 0.2132 0.3260 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] bed : 0.7848 0.8628 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] pillow : 0.5746 0.7796 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] sink : 0.6739 0.7670 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] picture : 0.3650 0.5191 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] window : 0.6044 0.7568 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] toilet : 0.9510 0.9689 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] bookshelf : 0.4750 0.6399 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] monitor : 0.8587 0.9195 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] curtain : 0.7122 0.8261 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] book : 0.4501 0.6953 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] armchair : 0.5187 0.6925 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] coffee table : 0.6267 0.7458 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] box : 0.3372 0.4420 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] refrigerator : 0.6869 0.7520 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] lamp : 0.6884 0.8095 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] kitchen cabinet: 0.6630 0.7461 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] towel : 0.5660 0.7286 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] clothes : 0.2173 0.4247 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] tv : 0.8938 0.9246 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] nightstand : 0.7040 0.8892 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] counter : 0.3294 0.5194 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] dresser : 0.4482 0.5493 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] stool : 0.5733 0.7420 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] plant : 0.7634 0.8893 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] ceiling : 0.9302 0.9660 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] bathtub : 0.8796 0.9100 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] end table : 0.2014 0.2914 [2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] dining table : 0.0325 0.0391 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] keyboard : 0.4020 0.5644 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] bag : 0.1863 0.2364 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] backpack : 0.6100 0.7369 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] toilet paper : 0.4828 0.6186 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] printer : 0.4883 0.6389 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] tv stand : 0.3854 0.4789 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] whiteboard : 0.5162 0.6972 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] blanket : 0.0542 0.0860 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] shower curtain : 0.7055 0.7721 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] trash can : 0.6517 0.8491 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] closet : 0.0982 0.1616 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] stairs : 0.5319 0.6818 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] microwave : 0.5889 0.7813 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] stove : 0.6515 0.8542 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] shoe : 0.5002 0.7067 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] computer tower : 0.5309 0.8526 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] bottle : 0.1091 0.2493 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] bin : 0.0005 0.0011 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] ottoman : 0.4147 0.4510 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] bench : 0.4215 0.4812 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] board : 0.1806 0.3057 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] washing machine: 0.8534 0.9485 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] mirror : 0.3916 0.4642 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] copier : 0.8896 0.9452 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] sofa chair : 0.1801 0.2699 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] file cabinet : 0.4538 0.6020 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] fan : 0.3596 0.4364 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] laptop : 0.5476 0.7735 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] shower : 0.2009 0.2041 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] paper : 0.0449 0.0590 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] person : 0.2998 0.5969 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] paper towel dispenser: 0.5755 0.8163 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] oven : 0.1261 0.1373 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] blinds : 0.0128 0.0141 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] blackboard : 0.5909 0.6552 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] piano : 0.5028 0.5893 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] suitcase : 0.6015 0.7268 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] rail : 0.0419 0.0450 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] radiator : 0.6535 0.7040 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] recycling bin : 0.5009 0.6459 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] container : 0.0031 0.0049 [2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] wardrobe : 0.2039 0.3165 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] soap dispenser : 0.8803 0.9107 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] telephone : 0.2859 0.3970 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] bucket : 0.2670 0.4188 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] clock : 0.2477 0.2914 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] light : 0.0638 0.0721 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] laundry basket : 0.0859 0.0990 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] pipe : 0.0445 0.0630 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] clothes dryer : 0.6281 0.6373 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] guitar : 0.6850 0.8618 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] toilet paper holder: 0.0418 0.1328 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] ladder : 0.4779 0.5382 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] bathroom stall : 0.4190 0.4608 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] shower wall : 0.4533 0.5803 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] cup : 0.1660 0.2786 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] jacket : 0.2265 0.3135 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] storage bin : 0.0583 0.0768 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] coffee maker : 0.7049 0.8749 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] dishwasher : 0.3176 0.4430 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] paper towel roll: 0.2593 0.3024 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] mat : 0.1129 0.1176 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] windowsill : 0.1784 0.2028 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] bar : 0.1580 0.2557 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] toaster : 0.4684 0.8113 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] bulletin board : 0.2351 0.3313 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] ironing board : 0.1301 0.1431 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] fireplace : 0.7087 0.7448 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] soap dish : 0.3891 0.5371 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] kitchen counter: 0.5851 0.7102 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] doorframe : 0.4458 0.6898 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4409 0.5590 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] mini fridge : 0.3502 0.3932 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] fire extinguisher: 0.2760 0.3874 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] ball : 0.5696 0.6272 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] shower curtain rod: 0.4093 0.8967 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] water cooler : 0.7676 0.9455 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] paper cutter : 0.2746 0.3114 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] tray : 0.1101 0.1456 [2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] shower door : 0.2008 0.2339 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] pillar : 0.0010 0.0010 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] ledge : 0.0409 0.0504 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] mouse : 0.1426 0.6323 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6595 0.7464 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] cart : 0.1297 0.1438 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] scale : 0.3503 0.9478 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] tissue box : 0.2248 0.2787 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] light switch : 0.0285 0.0491 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] power outlet : 0.2541 0.3775 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] decoration : 0.1633 0.2499 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] sign : 0.0005 0.0006 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] projector : 0.1248 1.0000 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] closet door : 0.0555 0.0657 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] vacuum cleaner : 0.7813 0.9897 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] plunger : 0.4769 0.9778 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] headphones : 0.0262 0.0360 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] dish rack : 0.8215 0.9496 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] broom : 0.0544 0.0857 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] range hood : 0.7458 0.9016 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] dustpan : 0.1409 0.2567 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] handicap bar : 0.0065 0.0767 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] vent : 0.1920 0.2218 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] shower floor : 0.8792 0.9956 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] mailbox : 0.4428 0.4620 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] bowl : 0.1756 0.2227 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] paper bag : 0.0809 0.1345 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] divider : 0.4082 0.4401 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] bathroom counter: 0.2208 0.2728 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] object : 0.0495 0.0947 [2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] bathroom vanity: 0.5249 0.8078 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] closet wall : 0.0200 0.0293 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] laundry hamper : 0.0339 0.0367 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] bathroom stall door: 0.6253 0.7367 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] ceiling light : 0.3820 0.4867 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] trash bin : 0.2541 0.3141 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] dumbbell : 0.8184 0.9811 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] stair rail : 0.1067 0.1174 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] tube : 0.1376 0.1690 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] bathroom cabinet: 0.3968 0.4354 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] closet rod : 0.5140 0.8605 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] coffee kettle : 0.6151 0.6761 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] shower head : 0.2899 0.3886 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] case of water bottles: 0.1736 0.1746 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] coat rack : 0.0057 0.0192 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] fire alarm : 0.1507 0.5238 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] mattress : 0.0396 0.0397 [2025-03-11 06:00:09,722 INFO hook.py line 690 2389709] ######################################## [2025-03-11 06:00:09,722 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3258/0.4188/0.8264. [2025-03-11 06:00:09,722 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 06:00:09,735 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.3258 [2025-03-11 06:00:09,735 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3258 [2025-03-11 06:00:09,735 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 06:00:39,513 INFO hook.py line 566 2389709] Train: [85/100][50/300] Data 0.002 (0.002) Batch 0.514 (0.486) Remain 00:38:29 loss: 0.4339 Lr: 3.36644e-04 [2025-03-11 06:01:04,235 INFO hook.py line 566 2389709] Train: [85/100][100/300] Data 0.002 (0.002) Batch 0.466 (0.490) Remain 00:38:25 loss: 0.2174 Lr: 3.29776e-04 [2025-03-11 06:01:28,851 INFO hook.py line 566 2389709] Train: [85/100][150/300] Data 0.002 (0.002) Batch 0.535 (0.491) Remain 00:38:03 loss: 0.5889 Lr: 3.22975e-04 [2025-03-11 06:01:53,240 INFO hook.py line 566 2389709] Train: [85/100][200/300] Data 0.002 (0.002) Batch 0.558 (0.490) Remain 00:37:35 loss: 0.4963 Lr: 3.16239e-04 [2025-03-11 06:02:18,422 INFO hook.py line 566 2389709] Train: [85/100][250/300] Data 0.003 (0.002) Batch 0.511 (0.493) Remain 00:37:22 loss: 0.3661 Lr: 3.09570e-04 [2025-03-11 06:02:42,954 INFO hook.py line 566 2389709] Train: [85/100][300/300] Data 0.002 (0.002) Batch 0.485 (0.493) Remain 00:36:56 loss: 0.3264 Lr: 3.02967e-04 [2025-03-11 06:02:42,955 INFO misc.py line 135 2389709] Train result: loss: 0.4295 [2025-03-11 06:02:43,071 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 06:03:32,309 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3674 [2025-03-11 06:03:32,358 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.0665 [2025-03-11 06:03:32,391 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4234 [2025-03-11 06:03:32,442 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4181 [2025-03-11 06:03:32,478 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9189 [2025-03-11 06:03:32,536 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2343 [2025-03-11 06:03:32,597 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7728 [2025-03-11 06:03:32,632 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2410 [2025-03-11 06:03:32,690 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2018 [2025-03-11 06:03:32,730 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1864 [2025-03-11 06:03:32,784 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2009 [2025-03-11 06:03:32,833 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.9979 [2025-03-11 06:03:32,882 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.8520 [2025-03-11 06:03:32,923 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.2441 [2025-03-11 06:03:32,960 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.3383 [2025-03-11 06:03:33,007 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0791 [2025-03-11 06:03:33,048 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3617 [2025-03-11 06:03:33,094 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1316 [2025-03-11 06:03:33,139 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5616 [2025-03-11 06:03:33,173 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7748 [2025-03-11 06:03:33,212 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7124 [2025-03-11 06:03:33,260 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9453 [2025-03-11 06:03:33,305 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4454 [2025-03-11 06:03:33,357 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9839 [2025-03-11 06:03:33,403 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7357 [2025-03-11 06:03:33,445 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5417 [2025-03-11 06:03:33,510 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0888 [2025-03-11 06:03:33,546 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.9326 [2025-03-11 06:03:33,580 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1152 [2025-03-11 06:03:33,638 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.4547 [2025-03-11 06:03:33,697 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.3839 [2025-03-11 06:03:33,733 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.7179 [2025-03-11 06:03:33,790 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8303 [2025-03-11 06:03:33,829 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.6187 [2025-03-11 06:03:33,866 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3122 [2025-03-11 06:03:33,912 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4268 [2025-03-11 06:03:33,950 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2035 [2025-03-11 06:03:33,987 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9977 [2025-03-11 06:03:34,054 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.2713 [2025-03-11 06:03:34,105 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4278 [2025-03-11 06:03:34,151 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3571 [2025-03-11 06:03:34,187 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4633 [2025-03-11 06:03:34,226 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.4328 [2025-03-11 06:03:34,284 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8114 [2025-03-11 06:03:34,322 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7290 [2025-03-11 06:03:34,374 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1264 [2025-03-11 06:03:34,415 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8455 [2025-03-11 06:03:34,450 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1348 [2025-03-11 06:03:34,485 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.9476 [2025-03-11 06:03:34,522 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.6309 [2025-03-11 06:03:34,552 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0552 [2025-03-11 06:03:34,588 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.8193 [2025-03-11 06:03:34,616 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3245 [2025-03-11 06:03:34,655 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2322 [2025-03-11 06:03:34,696 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.5264 [2025-03-11 06:03:34,738 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0840 [2025-03-11 06:03:34,775 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.5198 [2025-03-11 06:03:34,805 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.8668 [2025-03-11 06:03:34,844 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8943 [2025-03-11 06:03:34,880 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.3262 [2025-03-11 06:03:34,905 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8065 [2025-03-11 06:03:34,941 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0000 [2025-03-11 06:03:34,977 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0915 [2025-03-11 06:03:35,034 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9108 [2025-03-11 06:03:35,063 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4213 [2025-03-11 06:03:35,110 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.4388 [2025-03-11 06:03:35,150 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8630 [2025-03-11 06:03:35,187 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1343 [2025-03-11 06:03:35,222 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3809 [2025-03-11 06:03:35,286 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.1628 [2025-03-11 06:03:35,331 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.9770 [2025-03-11 06:03:35,385 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9219 [2025-03-11 06:03:35,439 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7862 [2025-03-11 06:03:35,485 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.4364 [2025-03-11 06:03:35,540 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6672 [2025-03-11 06:03:35,573 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0290 [2025-03-11 06:03:35,633 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4660 [2025-03-11 06:03:35,660 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2528 [2025-03-11 06:03:36,866 INFO hook.py line 674 2389709] ######################################## [2025-03-11 06:03:36,866 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 06:03:36,866 INFO hook.py line 680 2389709] ######################################## [2025-03-11 06:03:36,866 INFO hook.py line 689 2389709] wall : 0.8012 0.9279 [2025-03-11 06:03:36,866 INFO hook.py line 689 2389709] chair : 0.7307 0.8477 [2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] floor : 0.9582 0.9815 [2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] table : 0.6445 0.7977 [2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] door : 0.6910 0.8107 [2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] couch : 0.7878 0.9327 [2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] cabinet : 0.3816 0.6024 [2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] shelf : 0.4102 0.5712 [2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] desk : 0.5826 0.7892 [2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] office chair : 0.1760 0.2730 [2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] bed : 0.8037 0.8834 [2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] pillow : 0.5893 0.7918 [2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] sink : 0.7016 0.8131 [2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] picture : 0.3822 0.5218 [2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] window : 0.6083 0.7708 [2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] toilet : 0.9457 0.9645 [2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] bookshelf : 0.4530 0.5944 [2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] monitor : 0.8644 0.9238 [2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] curtain : 0.7035 0.8600 [2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] book : 0.4547 0.7371 [2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] armchair : 0.5289 0.6705 [2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] coffee table : 0.6160 0.7807 [2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] box : 0.3103 0.4277 [2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] refrigerator : 0.6518 0.7698 [2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] lamp : 0.6486 0.8690 [2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] kitchen cabinet: 0.6642 0.7774 [2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] towel : 0.5149 0.6443 [2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] clothes : 0.1958 0.3673 [2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] tv : 0.8869 0.9221 [2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] nightstand : 0.7271 0.8978 [2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] counter : 0.2758 0.4424 [2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] dresser : 0.4183 0.5894 [2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] stool : 0.5979 0.7731 [2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] plant : 0.7418 0.8959 [2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] ceiling : 0.9299 0.9645 [2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] bathtub : 0.8762 0.9157 [2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] end table : 0.2628 0.4112 [2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] dining table : 0.0792 0.1075 [2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] keyboard : 0.4231 0.5463 [2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] bag : 0.1445 0.1918 [2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] backpack : 0.6168 0.7387 [2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] toilet paper : 0.5000 0.5889 [2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] printer : 0.4845 0.5928 [2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] tv stand : 0.3301 0.3971 [2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] whiteboard : 0.5247 0.7077 [2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] blanket : 0.0002 0.0002 [2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] shower curtain : 0.7006 0.7804 [2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] trash can : 0.6257 0.8436 [2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] closet : 0.1164 0.1588 [2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] stairs : 0.5600 0.6987 [2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] microwave : 0.5911 0.7348 [2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] stove : 0.6422 0.8187 [2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] shoe : 0.5269 0.7079 [2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] computer tower : 0.5668 0.8224 [2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] bottle : 0.1087 0.2268 [2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] bin : 0.0002 0.0003 [2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] ottoman : 0.3194 0.3477 [2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] bench : 0.3371 0.3652 [2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] board : 0.2109 0.2979 [2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] washing machine: 0.8382 0.9376 [2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] mirror : 0.3923 0.4666 [2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] copier : 0.8635 0.9484 [2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] sofa chair : 0.1481 0.2503 [2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] file cabinet : 0.4376 0.5562 [2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] fan : 0.3938 0.4514 [2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] laptop : 0.5517 0.6560 [2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] shower : 0.1626 0.1661 [2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] paper : 0.0488 0.0634 [2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] person : 0.2691 0.5694 [2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] paper towel dispenser: 0.5571 0.7294 [2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] oven : 0.1286 0.1419 [2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] blinds : 0.0056 0.0063 [2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] blackboard : 0.5995 0.6738 [2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] piano : 0.3600 0.5543 [2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] suitcase : 0.6561 0.7600 [2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] rail : 0.0532 0.0569 [2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] radiator : 0.6459 0.7209 [2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] recycling bin : 0.4778 0.6696 [2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] container : 0.0020 0.0038 [2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] wardrobe : 0.1682 0.2214 [2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] soap dispenser : 0.8485 0.9110 [2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] telephone : 0.3215 0.5253 [2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] bucket : 0.3199 0.4123 [2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] clock : 0.2277 0.2703 [2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] light : 0.0644 0.0728 [2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] laundry basket : 0.0630 0.0790 [2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] pipe : 0.0354 0.0617 [2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] clothes dryer : 0.5206 0.5333 [2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] guitar : 0.5312 0.7412 [2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] toilet paper holder: 0.0178 0.0801 [2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] column : 0.1264 0.1948 [2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] ladder : 0.5224 0.5436 [2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] bathroom stall : 0.4345 0.5218 [2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] shower wall : 0.4835 0.6339 [2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] cup : 0.1778 0.3010 [2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] jacket : 0.2137 0.3127 [2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 [2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] coffee maker : 0.6703 0.9806 [2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] dishwasher : 0.2370 0.4602 [2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] paper towel roll: 0.3217 0.4139 [2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] mat : 0.0781 0.0812 [2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] windowsill : 0.0846 0.0935 [2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] bar : 0.2093 0.3418 [2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] toaster : 0.4149 0.8243 [2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] bulletin board : 0.2157 0.3319 [2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] ironing board : 0.0956 0.1025 [2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] fireplace : 0.6431 0.6689 [2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] soap dish : 0.3785 0.5179 [2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] kitchen counter: 0.5301 0.6596 [2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] doorframe : 0.4285 0.6937 [2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4074 0.4728 [2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] mini fridge : 0.3378 0.3579 [2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] fire extinguisher: 0.2834 0.3386 [2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] ball : 0.3875 0.7587 [2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] shower curtain rod: 0.3545 0.9115 [2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] water cooler : 0.7040 0.8323 [2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] paper cutter : 0.2692 0.3370 [2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] tray : 0.1142 0.1442 [2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] shower door : 0.1811 0.2760 [2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] pillar : 0.0007 0.0008 [2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] ledge : 0.0394 0.0538 [2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] mouse : 0.0813 0.3929 [2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7528 0.8914 [2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] cart : 0.1194 0.1286 [2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] scale : 0.3815 0.9439 [2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] tissue box : 0.2334 0.2999 [2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] light switch : 0.0323 0.0898 [2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] power outlet : 0.2303 0.3960 [2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] decoration : 0.1655 0.1981 [2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] projector : 0.0644 1.0000 [2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] closet door : 0.0390 0.0425 [2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] vacuum cleaner : 0.8595 0.9868 [2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] plunger : 0.5203 0.9840 [2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] headphones : 0.0140 0.0191 [2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] dish rack : 0.7516 0.9594 [2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] broom : 0.1161 0.1493 [2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] range hood : 0.7706 0.8911 [2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] dustpan : 0.1391 0.2707 [2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] handicap bar : 0.0305 0.3003 [2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] vent : 0.0731 0.0743 [2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] shower floor : 0.8830 0.9978 [2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] mailbox : 0.4901 0.5028 [2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] bowl : 0.1276 0.1676 [2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] paper bag : 0.0614 0.1253 [2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] divider : 0.3841 0.4085 [2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] bathroom counter: 0.2528 0.3316 [2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] object : 0.0456 0.0858 [2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] bathroom vanity: 0.5444 0.7788 [2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] closet wall : 0.0071 0.0098 [2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] laundry hamper : 0.0254 0.0298 [2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] bathroom stall door: 0.6010 0.6721 [2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] ceiling light : 0.3876 0.4705 [2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] trash bin : 0.1618 0.2060 [2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] dumbbell : 0.7241 0.9783 [2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] stair rail : 0.1099 0.1174 [2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] tube : 0.1263 0.1626 [2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] bathroom cabinet: 0.5902 0.7377 [2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] closet rod : 0.5682 0.8683 [2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] coffee kettle : 0.4000 0.5691 [2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] shower head : 0.3002 0.3862 [2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] case of water bottles: 0.1309 0.1311 [2025-03-11 06:03:36,877 INFO hook.py line 689 2389709] coat rack : 0.0128 0.0413 [2025-03-11 06:03:36,877 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 06:03:36,877 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 06:03:36,877 INFO hook.py line 689 2389709] fire alarm : 0.0053 0.0222 [2025-03-11 06:03:36,877 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 06:03:36,877 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 06:03:36,877 INFO hook.py line 689 2389709] poster : 0.0004 0.0005 [2025-03-11 06:03:36,877 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 06:03:36,877 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 06:03:36,877 INFO hook.py line 689 2389709] mattress : 0.0244 0.0247 [2025-03-11 06:03:36,877 INFO hook.py line 690 2389709] ######################################## [2025-03-11 06:03:36,877 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3166/0.4124/0.8255. [2025-03-11 06:03:36,878 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 06:03:36,898 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3258 [2025-03-11 06:03:36,899 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 06:04:07,810 INFO hook.py line 566 2389709] Train: [86/100][50/300] Data 0.003 (0.003) Batch 0.507 (0.497) Remain 00:36:52 loss: 0.3844 Lr: 2.96431e-04 [2025-03-11 06:04:32,645 INFO hook.py line 566 2389709] Train: [86/100][100/300] Data 0.002 (0.002) Batch 0.504 (0.497) Remain 00:36:26 loss: 0.4701 Lr: 2.89962e-04 [2025-03-11 06:04:57,930 INFO hook.py line 566 2389709] Train: [86/100][150/300] Data 0.002 (0.002) Batch 0.496 (0.500) Remain 00:36:14 loss: 0.2429 Lr: 2.83560e-04 [2025-03-11 06:05:22,788 INFO hook.py line 566 2389709] Train: [86/100][200/300] Data 0.002 (0.002) Batch 0.452 (0.499) Remain 00:35:46 loss: 0.4293 Lr: 2.77225e-04 [2025-03-11 06:05:47,089 INFO hook.py line 566 2389709] Train: [86/100][250/300] Data 0.002 (0.002) Batch 0.428 (0.497) Remain 00:35:10 loss: 0.3849 Lr: 2.70958e-04 [2025-03-11 06:06:11,086 INFO hook.py line 566 2389709] Train: [86/100][300/300] Data 0.001 (0.002) Batch 0.406 (0.494) Remain 00:34:33 loss: 0.3190 Lr: 2.64759e-04 [2025-03-11 06:06:11,087 INFO misc.py line 135 2389709] Train result: loss: 0.4187 [2025-03-11 06:06:11,185 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 06:07:04,885 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3516 [2025-03-11 06:07:04,933 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3951 [2025-03-11 06:07:04,966 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4437 [2025-03-11 06:07:05,021 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4176 [2025-03-11 06:07:05,054 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8178 [2025-03-11 06:07:05,112 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2451 [2025-03-11 06:07:05,164 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.6624 [2025-03-11 06:07:05,193 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2434 [2025-03-11 06:07:05,259 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2469 [2025-03-11 06:07:05,300 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.0346 [2025-03-11 06:07:05,357 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1668 [2025-03-11 06:07:05,390 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1562 [2025-03-11 06:07:05,441 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.1570 [2025-03-11 06:07:05,479 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.6829 [2025-03-11 06:07:05,520 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0832 [2025-03-11 06:07:05,569 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0667 [2025-03-11 06:07:05,611 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5102 [2025-03-11 06:07:05,649 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0352 [2025-03-11 06:07:05,700 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4861 [2025-03-11 06:07:05,734 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.8008 [2025-03-11 06:07:05,774 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6835 [2025-03-11 06:07:05,821 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.0704 [2025-03-11 06:07:05,859 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.7162 [2025-03-11 06:07:05,910 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.2638 [2025-03-11 06:07:05,951 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5784 [2025-03-11 06:07:05,995 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5872 [2025-03-11 06:07:06,050 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.1372 [2025-03-11 06:07:06,091 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7846 [2025-03-11 06:07:06,122 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1421 [2025-03-11 06:07:06,179 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.6835 [2025-03-11 06:07:06,241 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4194 [2025-03-11 06:07:06,279 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4984 [2025-03-11 06:07:06,336 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8164 [2025-03-11 06:07:06,375 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.2578 [2025-03-11 06:07:06,411 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3033 [2025-03-11 06:07:06,452 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5207 [2025-03-11 06:07:06,490 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2139 [2025-03-11 06:07:06,528 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9570 [2025-03-11 06:07:06,594 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.0325 [2025-03-11 06:07:06,645 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4086 [2025-03-11 06:07:06,690 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.5113 [2025-03-11 06:07:06,730 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4179 [2025-03-11 06:07:06,767 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.7985 [2025-03-11 06:07:06,832 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8597 [2025-03-11 06:07:06,876 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.9326 [2025-03-11 06:07:06,928 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2061 [2025-03-11 06:07:06,966 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.0517 [2025-03-11 06:07:07,000 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0162 [2025-03-11 06:07:07,032 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.7847 [2025-03-11 06:07:07,066 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4409 [2025-03-11 06:07:07,096 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0870 [2025-03-11 06:07:07,130 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7611 [2025-03-11 06:07:07,156 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4528 [2025-03-11 06:07:07,192 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8561 [2025-03-11 06:07:07,231 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.5903 [2025-03-11 06:07:07,272 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9690 [2025-03-11 06:07:07,306 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.6622 [2025-03-11 06:07:07,332 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.8260 [2025-03-11 06:07:07,371 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9718 [2025-03-11 06:07:07,407 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4097 [2025-03-11 06:07:07,431 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7304 [2025-03-11 06:07:07,466 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.8799 [2025-03-11 06:07:07,503 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0900 [2025-03-11 06:07:07,561 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9521 [2025-03-11 06:07:07,589 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4271 [2025-03-11 06:07:07,633 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.5292 [2025-03-11 06:07:07,673 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9017 [2025-03-11 06:07:07,708 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1152 [2025-03-11 06:07:07,740 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3884 [2025-03-11 06:07:07,802 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.9920 [2025-03-11 06:07:07,846 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7932 [2025-03-11 06:07:07,900 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5056 [2025-03-11 06:07:07,954 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6553 [2025-03-11 06:07:07,998 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.5909 [2025-03-11 06:07:08,050 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5987 [2025-03-11 06:07:08,079 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9619 [2025-03-11 06:07:08,138 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5597 [2025-03-11 06:07:08,165 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3030 [2025-03-11 06:07:09,456 INFO hook.py line 674 2389709] ######################################## [2025-03-11 06:07:09,456 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 06:07:09,456 INFO hook.py line 680 2389709] ######################################## [2025-03-11 06:07:09,456 INFO hook.py line 689 2389709] wall : 0.8020 0.9286 [2025-03-11 06:07:09,456 INFO hook.py line 689 2389709] chair : 0.7385 0.8622 [2025-03-11 06:07:09,457 INFO hook.py line 689 2389709] floor : 0.9595 0.9836 [2025-03-11 06:07:09,457 INFO hook.py line 689 2389709] table : 0.6431 0.7878 [2025-03-11 06:07:09,457 INFO hook.py line 689 2389709] door : 0.6779 0.8043 [2025-03-11 06:07:09,457 INFO hook.py line 689 2389709] couch : 0.8109 0.9215 [2025-03-11 06:07:09,457 INFO hook.py line 689 2389709] cabinet : 0.3794 0.5733 [2025-03-11 06:07:09,457 INFO hook.py line 689 2389709] shelf : 0.3873 0.5135 [2025-03-11 06:07:09,457 INFO hook.py line 689 2389709] desk : 0.5811 0.7803 [2025-03-11 06:07:09,457 INFO hook.py line 689 2389709] office chair : 0.2417 0.3610 [2025-03-11 06:07:09,457 INFO hook.py line 689 2389709] bed : 0.8020 0.8816 [2025-03-11 06:07:09,457 INFO hook.py line 689 2389709] pillow : 0.5763 0.8004 [2025-03-11 06:07:09,458 INFO hook.py line 689 2389709] sink : 0.6764 0.7716 [2025-03-11 06:07:09,458 INFO hook.py line 689 2389709] picture : 0.3890 0.5331 [2025-03-11 06:07:09,458 INFO hook.py line 689 2389709] window : 0.6171 0.7945 [2025-03-11 06:07:09,458 INFO hook.py line 689 2389709] toilet : 0.9455 0.9708 [2025-03-11 06:07:09,458 INFO hook.py line 689 2389709] bookshelf : 0.4652 0.6636 [2025-03-11 06:07:09,458 INFO hook.py line 689 2389709] monitor : 0.8664 0.9183 [2025-03-11 06:07:09,458 INFO hook.py line 689 2389709] curtain : 0.7037 0.8542 [2025-03-11 06:07:09,458 INFO hook.py line 689 2389709] book : 0.4471 0.6986 [2025-03-11 06:07:09,458 INFO hook.py line 689 2389709] armchair : 0.5602 0.7784 [2025-03-11 06:07:09,458 INFO hook.py line 689 2389709] coffee table : 0.6152 0.7168 [2025-03-11 06:07:09,458 INFO hook.py line 689 2389709] box : 0.3421 0.4540 [2025-03-11 06:07:09,459 INFO hook.py line 689 2389709] refrigerator : 0.6984 0.7378 [2025-03-11 06:07:09,459 INFO hook.py line 689 2389709] lamp : 0.6722 0.8131 [2025-03-11 06:07:09,459 INFO hook.py line 689 2389709] kitchen cabinet: 0.7043 0.7980 [2025-03-11 06:07:09,459 INFO hook.py line 689 2389709] towel : 0.5084 0.6308 [2025-03-11 06:07:09,459 INFO hook.py line 689 2389709] clothes : 0.1956 0.3925 [2025-03-11 06:07:09,459 INFO hook.py line 689 2389709] tv : 0.8846 0.9167 [2025-03-11 06:07:09,459 INFO hook.py line 689 2389709] nightstand : 0.6789 0.9071 [2025-03-11 06:07:09,459 INFO hook.py line 689 2389709] counter : 0.3115 0.4709 [2025-03-11 06:07:09,459 INFO hook.py line 689 2389709] dresser : 0.4644 0.6203 [2025-03-11 06:07:09,459 INFO hook.py line 689 2389709] stool : 0.5173 0.8092 [2025-03-11 06:07:09,459 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 06:07:09,460 INFO hook.py line 689 2389709] plant : 0.7451 0.9068 [2025-03-11 06:07:09,460 INFO hook.py line 689 2389709] ceiling : 0.9297 0.9601 [2025-03-11 06:07:09,460 INFO hook.py line 689 2389709] bathtub : 0.8806 0.9124 [2025-03-11 06:07:09,460 INFO hook.py line 689 2389709] end table : 0.2671 0.4586 [2025-03-11 06:07:09,460 INFO hook.py line 689 2389709] dining table : 0.0220 0.0275 [2025-03-11 06:07:09,460 INFO hook.py line 689 2389709] keyboard : 0.4129 0.5305 [2025-03-11 06:07:09,460 INFO hook.py line 689 2389709] bag : 0.2278 0.2846 [2025-03-11 06:07:09,460 INFO hook.py line 689 2389709] backpack : 0.6161 0.7295 [2025-03-11 06:07:09,460 INFO hook.py line 689 2389709] toilet paper : 0.5040 0.6105 [2025-03-11 06:07:09,460 INFO hook.py line 689 2389709] printer : 0.4551 0.5794 [2025-03-11 06:07:09,460 INFO hook.py line 689 2389709] tv stand : 0.3411 0.4280 [2025-03-11 06:07:09,460 INFO hook.py line 689 2389709] whiteboard : 0.5067 0.6842 [2025-03-11 06:07:09,461 INFO hook.py line 689 2389709] blanket : 0.0144 0.0198 [2025-03-11 06:07:09,461 INFO hook.py line 689 2389709] shower curtain : 0.6893 0.7570 [2025-03-11 06:07:09,461 INFO hook.py line 689 2389709] trash can : 0.6589 0.8251 [2025-03-11 06:07:09,461 INFO hook.py line 689 2389709] closet : 0.1266 0.1857 [2025-03-11 06:07:09,461 INFO hook.py line 689 2389709] stairs : 0.4360 0.6996 [2025-03-11 06:07:09,461 INFO hook.py line 689 2389709] microwave : 0.5870 0.7328 [2025-03-11 06:07:09,461 INFO hook.py line 689 2389709] stove : 0.6570 0.8618 [2025-03-11 06:07:09,461 INFO hook.py line 689 2389709] shoe : 0.5381 0.6709 [2025-03-11 06:07:09,461 INFO hook.py line 689 2389709] computer tower : 0.5732 0.8047 [2025-03-11 06:07:09,461 INFO hook.py line 689 2389709] bottle : 0.1223 0.2746 [2025-03-11 06:07:09,461 INFO hook.py line 689 2389709] bin : 0.0084 0.0157 [2025-03-11 06:07:09,462 INFO hook.py line 689 2389709] ottoman : 0.4579 0.4847 [2025-03-11 06:07:09,462 INFO hook.py line 689 2389709] bench : 0.4245 0.5027 [2025-03-11 06:07:09,462 INFO hook.py line 689 2389709] board : 0.2249 0.3434 [2025-03-11 06:07:09,462 INFO hook.py line 689 2389709] washing machine: 0.8461 0.9528 [2025-03-11 06:07:09,462 INFO hook.py line 689 2389709] mirror : 0.3930 0.4732 [2025-03-11 06:07:09,462 INFO hook.py line 689 2389709] copier : 0.8631 0.9492 [2025-03-11 06:07:09,462 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 06:07:09,462 INFO hook.py line 689 2389709] sofa chair : 0.1155 0.1458 [2025-03-11 06:07:09,462 INFO hook.py line 689 2389709] file cabinet : 0.4559 0.5811 [2025-03-11 06:07:09,462 INFO hook.py line 689 2389709] fan : 0.3692 0.4423 [2025-03-11 06:07:09,462 INFO hook.py line 689 2389709] laptop : 0.5227 0.7409 [2025-03-11 06:07:09,463 INFO hook.py line 689 2389709] shower : 0.2510 0.2618 [2025-03-11 06:07:09,463 INFO hook.py line 689 2389709] paper : 0.0594 0.0820 [2025-03-11 06:07:09,463 INFO hook.py line 689 2389709] person : 0.2479 0.5806 [2025-03-11 06:07:09,463 INFO hook.py line 689 2389709] paper towel dispenser: 0.6029 0.8271 [2025-03-11 06:07:09,463 INFO hook.py line 689 2389709] oven : 0.1794 0.2146 [2025-03-11 06:07:09,463 INFO hook.py line 689 2389709] blinds : 0.0004 0.0005 [2025-03-11 06:07:09,463 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 06:07:09,463 INFO hook.py line 689 2389709] plate : 0.0334 0.0453 [2025-03-11 06:07:09,463 INFO hook.py line 689 2389709] blackboard : 0.5840 0.6845 [2025-03-11 06:07:09,463 INFO hook.py line 689 2389709] piano : 0.4222 0.5397 [2025-03-11 06:07:09,463 INFO hook.py line 689 2389709] suitcase : 0.6027 0.8317 [2025-03-11 06:07:09,463 INFO hook.py line 689 2389709] rail : 0.0310 0.0333 [2025-03-11 06:07:09,464 INFO hook.py line 689 2389709] radiator : 0.6607 0.7218 [2025-03-11 06:07:09,464 INFO hook.py line 689 2389709] recycling bin : 0.4813 0.6732 [2025-03-11 06:07:09,464 INFO hook.py line 689 2389709] container : 0.0064 0.0130 [2025-03-11 06:07:09,464 INFO hook.py line 689 2389709] wardrobe : 0.1369 0.1929 [2025-03-11 06:07:09,464 INFO hook.py line 689 2389709] soap dispenser : 0.8379 0.9183 [2025-03-11 06:07:09,464 INFO hook.py line 689 2389709] telephone : 0.3178 0.4183 [2025-03-11 06:07:09,464 INFO hook.py line 689 2389709] bucket : 0.3369 0.6415 [2025-03-11 06:07:09,464 INFO hook.py line 689 2389709] clock : 0.2243 0.2533 [2025-03-11 06:07:09,464 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 06:07:09,464 INFO hook.py line 689 2389709] light : 0.0692 0.0757 [2025-03-11 06:07:09,464 INFO hook.py line 689 2389709] laundry basket : 0.0271 0.0353 [2025-03-11 06:07:09,465 INFO hook.py line 689 2389709] pipe : 0.0374 0.0594 [2025-03-11 06:07:09,465 INFO hook.py line 689 2389709] clothes dryer : 0.6941 0.7169 [2025-03-11 06:07:09,465 INFO hook.py line 689 2389709] guitar : 0.6994 0.7904 [2025-03-11 06:07:09,465 INFO hook.py line 689 2389709] toilet paper holder: 0.0471 0.1705 [2025-03-11 06:07:09,465 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 06:07:09,465 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 06:07:09,465 INFO hook.py line 689 2389709] column : 0.0008 0.0008 [2025-03-11 06:07:09,465 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 06:07:09,465 INFO hook.py line 689 2389709] ladder : 0.5658 0.6021 [2025-03-11 06:07:09,465 INFO hook.py line 689 2389709] bathroom stall : 0.4190 0.4819 [2025-03-11 06:07:09,465 INFO hook.py line 689 2389709] shower wall : 0.4477 0.5524 [2025-03-11 06:07:09,466 INFO hook.py line 689 2389709] cup : 0.1891 0.3906 [2025-03-11 06:07:09,466 INFO hook.py line 689 2389709] jacket : 0.2196 0.2934 [2025-03-11 06:07:09,466 INFO hook.py line 689 2389709] storage bin : 0.0220 0.0268 [2025-03-11 06:07:09,466 INFO hook.py line 689 2389709] coffee maker : 0.5944 0.7783 [2025-03-11 06:07:09,466 INFO hook.py line 689 2389709] dishwasher : 0.2976 0.3737 [2025-03-11 06:07:09,466 INFO hook.py line 689 2389709] paper towel roll: 0.3301 0.4184 [2025-03-11 06:07:09,466 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 06:07:09,466 INFO hook.py line 689 2389709] mat : 0.1670 0.1778 [2025-03-11 06:07:09,466 INFO hook.py line 689 2389709] windowsill : 0.1211 0.1325 [2025-03-11 06:07:09,466 INFO hook.py line 689 2389709] bar : 0.1485 0.2178 [2025-03-11 06:07:09,466 INFO hook.py line 689 2389709] toaster : 0.3333 0.9072 [2025-03-11 06:07:09,467 INFO hook.py line 689 2389709] bulletin board : 0.2671 0.5374 [2025-03-11 06:07:09,468 INFO hook.py line 689 2389709] ironing board : 0.1025 0.1081 [2025-03-11 06:07:09,468 INFO hook.py line 689 2389709] fireplace : 0.6287 0.6596 [2025-03-11 06:07:09,468 INFO hook.py line 689 2389709] soap dish : 0.3756 0.5368 [2025-03-11 06:07:09,468 INFO hook.py line 689 2389709] kitchen counter: 0.5643 0.7077 [2025-03-11 06:07:09,468 INFO hook.py line 689 2389709] doorframe : 0.4392 0.6668 [2025-03-11 06:07:09,468 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4308 0.5402 [2025-03-11 06:07:09,468 INFO hook.py line 689 2389709] mini fridge : 0.3955 0.4834 [2025-03-11 06:07:09,468 INFO hook.py line 689 2389709] fire extinguisher: 0.2605 0.2792 [2025-03-11 06:07:09,468 INFO hook.py line 689 2389709] ball : 0.7047 0.8800 [2025-03-11 06:07:09,468 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 06:07:09,468 INFO hook.py line 689 2389709] shower curtain rod: 0.4467 0.9314 [2025-03-11 06:07:09,469 INFO hook.py line 689 2389709] water cooler : 0.6065 0.7777 [2025-03-11 06:07:09,469 INFO hook.py line 689 2389709] paper cutter : 0.3092 0.3632 [2025-03-11 06:07:09,469 INFO hook.py line 689 2389709] tray : 0.1104 0.1493 [2025-03-11 06:07:09,469 INFO hook.py line 689 2389709] shower door : 0.2559 0.3063 [2025-03-11 06:07:09,469 INFO hook.py line 689 2389709] pillar : 0.0006 0.0006 [2025-03-11 06:07:09,469 INFO hook.py line 689 2389709] ledge : 0.0469 0.0665 [2025-03-11 06:07:09,469 INFO hook.py line 689 2389709] toaster oven : 0.0008 0.0009 [2025-03-11 06:07:09,469 INFO hook.py line 689 2389709] mouse : 0.1044 0.5546 [2025-03-11 06:07:09,469 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7245 0.8154 [2025-03-11 06:07:09,469 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 06:07:09,469 INFO hook.py line 689 2389709] cart : 0.1634 0.1885 [2025-03-11 06:07:09,470 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 06:07:09,470 INFO hook.py line 689 2389709] scale : 0.3907 0.9545 [2025-03-11 06:07:09,470 INFO hook.py line 689 2389709] tissue box : 0.2552 0.3816 [2025-03-11 06:07:09,470 INFO hook.py line 689 2389709] light switch : 0.0369 0.0935 [2025-03-11 06:07:09,470 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 06:07:09,470 INFO hook.py line 689 2389709] power outlet : 0.2812 0.3413 [2025-03-11 06:07:09,470 INFO hook.py line 689 2389709] decoration : 0.3322 0.4928 [2025-03-11 06:07:09,470 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 06:07:09,470 INFO hook.py line 689 2389709] projector : 0.0651 1.0000 [2025-03-11 06:07:09,470 INFO hook.py line 689 2389709] closet door : 0.0768 0.0857 [2025-03-11 06:07:09,470 INFO hook.py line 689 2389709] vacuum cleaner : 0.8603 0.9806 [2025-03-11 06:07:09,470 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 06:07:09,471 INFO hook.py line 689 2389709] plunger : 0.5116 0.9748 [2025-03-11 06:07:09,471 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 06:07:09,471 INFO hook.py line 689 2389709] headphones : 0.0082 0.0105 [2025-03-11 06:07:09,471 INFO hook.py line 689 2389709] dish rack : 0.7719 0.9685 [2025-03-11 06:07:09,471 INFO hook.py line 689 2389709] broom : 0.0369 0.0434 [2025-03-11 06:07:09,471 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 06:07:09,471 INFO hook.py line 689 2389709] range hood : 0.7425 0.9072 [2025-03-11 06:07:09,471 INFO hook.py line 689 2389709] dustpan : 0.1191 0.3626 [2025-03-11 06:07:09,471 INFO hook.py line 689 2389709] hair dryer : 0.0023 0.0040 [2025-03-11 06:07:09,471 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 06:07:09,471 INFO hook.py line 689 2389709] handicap bar : 0.0287 0.4253 [2025-03-11 06:07:09,472 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 06:07:09,472 INFO hook.py line 689 2389709] vent : 0.2061 0.2138 [2025-03-11 06:07:09,472 INFO hook.py line 689 2389709] shower floor : 0.8625 0.9978 [2025-03-11 06:07:09,472 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 06:07:09,472 INFO hook.py line 689 2389709] mailbox : 0.4490 0.4634 [2025-03-11 06:07:09,472 INFO hook.py line 689 2389709] bowl : 0.0696 0.0893 [2025-03-11 06:07:09,472 INFO hook.py line 689 2389709] paper bag : 0.0964 0.1306 [2025-03-11 06:07:09,472 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 06:07:09,472 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 06:07:09,472 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 06:07:09,472 INFO hook.py line 689 2389709] divider : 0.5186 0.5845 [2025-03-11 06:07:09,472 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 06:07:09,473 INFO hook.py line 689 2389709] bathroom counter: 0.2520 0.2898 [2025-03-11 06:07:09,473 INFO hook.py line 689 2389709] object : 0.0378 0.0594 [2025-03-11 06:07:09,473 INFO hook.py line 689 2389709] bathroom vanity: 0.5327 0.8483 [2025-03-11 06:07:09,473 INFO hook.py line 689 2389709] closet wall : 0.0233 0.0306 [2025-03-11 06:07:09,473 INFO hook.py line 689 2389709] laundry hamper : 0.0151 0.0164 [2025-03-11 06:07:09,473 INFO hook.py line 689 2389709] bathroom stall door: 0.5962 0.6680 [2025-03-11 06:07:09,473 INFO hook.py line 689 2389709] ceiling light : 0.3761 0.5518 [2025-03-11 06:07:09,473 INFO hook.py line 689 2389709] trash bin : 0.2533 0.3360 [2025-03-11 06:07:09,473 INFO hook.py line 689 2389709] dumbbell : 0.7706 0.9778 [2025-03-11 06:07:09,473 INFO hook.py line 689 2389709] stair rail : 0.1159 0.1357 [2025-03-11 06:07:09,473 INFO hook.py line 689 2389709] tube : 0.1189 0.1402 [2025-03-11 06:07:09,474 INFO hook.py line 689 2389709] bathroom cabinet: 0.4487 0.5160 [2025-03-11 06:07:09,474 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 06:07:09,474 INFO hook.py line 689 2389709] closet rod : 0.4858 0.8305 [2025-03-11 06:07:09,474 INFO hook.py line 689 2389709] coffee kettle : 0.5456 0.7209 [2025-03-11 06:07:09,474 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 06:07:09,474 INFO hook.py line 689 2389709] shower head : 0.2925 0.3536 [2025-03-11 06:07:09,474 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 06:07:09,474 INFO hook.py line 689 2389709] case of water bottles: 0.0937 0.0941 [2025-03-11 06:07:09,474 INFO hook.py line 689 2389709] coat rack : 0.0028 0.0096 [2025-03-11 06:07:09,474 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 06:07:09,474 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 06:07:09,474 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 06:07:09,475 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 06:07:09,475 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 06:07:09,475 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 06:07:09,475 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 06:07:09,475 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 06:07:09,475 INFO hook.py line 689 2389709] mattress : 0.0439 0.0439 [2025-03-11 06:07:09,475 INFO hook.py line 690 2389709] ######################################## [2025-03-11 06:07:09,475 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3248/0.4242/0.8285. [2025-03-11 06:07:09,476 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 06:07:09,483 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3258 [2025-03-11 06:07:09,483 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 06:07:39,695 INFO hook.py line 566 2389709] Train: [87/100][50/300] Data 0.001 (0.002) Batch 0.463 (0.491) Remain 00:33:57 loss: 0.3045 Lr: 2.58628e-04 [2025-03-11 06:08:03,760 INFO hook.py line 566 2389709] Train: [87/100][100/300] Data 0.002 (0.002) Batch 0.468 (0.486) Remain 00:33:12 loss: 0.3916 Lr: 2.52564e-04 [2025-03-11 06:08:28,437 INFO hook.py line 566 2389709] Train: [87/100][150/300] Data 0.002 (0.002) Batch 0.432 (0.489) Remain 00:32:58 loss: 0.4397 Lr: 2.46569e-04 [2025-03-11 06:08:53,143 INFO hook.py line 566 2389709] Train: [87/100][200/300] Data 0.003 (0.002) Batch 0.457 (0.490) Remain 00:32:39 loss: 0.4219 Lr: 2.40643e-04 [2025-03-11 06:09:17,943 INFO hook.py line 566 2389709] Train: [87/100][250/300] Data 0.002 (0.002) Batch 0.516 (0.491) Remain 00:32:20 loss: 0.5516 Lr: 2.34785e-04 [2025-03-11 06:09:42,397 INFO hook.py line 566 2389709] Train: [87/100][300/300] Data 0.002 (0.002) Batch 0.512 (0.491) Remain 00:31:54 loss: 0.4103 Lr: 2.28996e-04 [2025-03-11 06:09:42,398 INFO misc.py line 135 2389709] Train result: loss: 0.4274 [2025-03-11 06:09:42,483 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 06:10:36,348 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2527 [2025-03-11 06:10:36,394 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3263 [2025-03-11 06:10:36,426 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4202 [2025-03-11 06:10:36,477 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.3788 [2025-03-11 06:10:36,511 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8581 [2025-03-11 06:10:36,568 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2068 [2025-03-11 06:10:36,620 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7400 [2025-03-11 06:10:36,651 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3303 [2025-03-11 06:10:36,696 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3018 [2025-03-11 06:10:36,736 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1142 [2025-03-11 06:10:36,789 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1894 [2025-03-11 06:10:36,829 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1710 [2025-03-11 06:10:36,877 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.7116 [2025-03-11 06:10:36,918 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4831 [2025-03-11 06:10:36,958 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2598 [2025-03-11 06:10:37,005 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0722 [2025-03-11 06:10:37,053 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4430 [2025-03-11 06:10:37,092 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.2195 [2025-03-11 06:10:37,142 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4891 [2025-03-11 06:10:37,196 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7321 [2025-03-11 06:10:37,236 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6624 [2025-03-11 06:10:37,282 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8744 [2025-03-11 06:10:37,317 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5518 [2025-03-11 06:10:37,373 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0543 [2025-03-11 06:10:37,415 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4812 [2025-03-11 06:10:37,457 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4229 [2025-03-11 06:10:37,514 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9491 [2025-03-11 06:10:37,558 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7949 [2025-03-11 06:10:37,594 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9899 [2025-03-11 06:10:37,649 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5645 [2025-03-11 06:10:37,709 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4144 [2025-03-11 06:10:37,748 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6891 [2025-03-11 06:10:37,805 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8351 [2025-03-11 06:10:37,845 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.4418 [2025-03-11 06:10:37,882 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2814 [2025-03-11 06:10:37,920 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5630 [2025-03-11 06:10:37,964 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2872 [2025-03-11 06:10:37,998 INFO hook.py line 748 2389709] Test: [38/78] Loss 1.0166 [2025-03-11 06:10:38,069 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.3016 [2025-03-11 06:10:38,122 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5826 [2025-03-11 06:10:38,171 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.5423 [2025-03-11 06:10:38,203 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4450 [2025-03-11 06:10:38,238 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3181 [2025-03-11 06:10:38,299 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8491 [2025-03-11 06:10:38,335 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.1857 [2025-03-11 06:10:38,391 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1930 [2025-03-11 06:10:38,433 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8653 [2025-03-11 06:10:38,471 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.2010 [2025-03-11 06:10:38,505 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.8980 [2025-03-11 06:10:38,538 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.1319 [2025-03-11 06:10:38,573 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3032 [2025-03-11 06:10:38,613 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7139 [2025-03-11 06:10:38,645 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4265 [2025-03-11 06:10:38,680 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.6069 [2025-03-11 06:10:38,721 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3800 [2025-03-11 06:10:38,762 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8844 [2025-03-11 06:10:38,799 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.6196 [2025-03-11 06:10:38,826 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7927 [2025-03-11 06:10:38,867 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9291 [2025-03-11 06:10:38,909 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.3706 [2025-03-11 06:10:38,938 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8613 [2025-03-11 06:10:38,978 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9884 [2025-03-11 06:10:39,020 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2236 [2025-03-11 06:10:39,079 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.0535 [2025-03-11 06:10:39,111 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4799 [2025-03-11 06:10:39,155 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.2853 [2025-03-11 06:10:39,198 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9323 [2025-03-11 06:10:39,239 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9817 [2025-03-11 06:10:39,272 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3966 [2025-03-11 06:10:39,333 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.4280 [2025-03-11 06:10:39,377 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7721 [2025-03-11 06:10:39,434 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9137 [2025-03-11 06:10:39,492 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7327 [2025-03-11 06:10:39,536 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.8860 [2025-03-11 06:10:39,588 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5755 [2025-03-11 06:10:39,617 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0641 [2025-03-11 06:10:39,679 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4833 [2025-03-11 06:10:39,709 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2902 [2025-03-11 06:10:41,045 INFO hook.py line 674 2389709] ######################################## [2025-03-11 06:10:41,046 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 06:10:41,046 INFO hook.py line 680 2389709] ######################################## [2025-03-11 06:10:41,046 INFO hook.py line 689 2389709] wall : 0.8003 0.9295 [2025-03-11 06:10:41,047 INFO hook.py line 689 2389709] chair : 0.7296 0.8500 [2025-03-11 06:10:41,047 INFO hook.py line 689 2389709] floor : 0.9601 0.9831 [2025-03-11 06:10:41,047 INFO hook.py line 689 2389709] table : 0.6409 0.7852 [2025-03-11 06:10:41,047 INFO hook.py line 689 2389709] door : 0.6688 0.7860 [2025-03-11 06:10:41,047 INFO hook.py line 689 2389709] couch : 0.7901 0.9265 [2025-03-11 06:10:41,047 INFO hook.py line 689 2389709] cabinet : 0.3777 0.5857 [2025-03-11 06:10:41,047 INFO hook.py line 689 2389709] shelf : 0.3994 0.5606 [2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] desk : 0.5827 0.8024 [2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] office chair : 0.2138 0.3484 [2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] bed : 0.7969 0.8832 [2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] pillow : 0.5676 0.7973 [2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] sink : 0.6849 0.8060 [2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] picture : 0.3926 0.5183 [2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] window : 0.5955 0.7576 [2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] toilet : 0.9500 0.9721 [2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] bookshelf : 0.4707 0.6346 [2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] monitor : 0.8507 0.9214 [2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] curtain : 0.7231 0.8547 [2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] book : 0.4544 0.7064 [2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] armchair : 0.5212 0.6769 [2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] coffee table : 0.6468 0.7645 [2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] box : 0.3184 0.4101 [2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] refrigerator : 0.6574 0.6928 [2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] lamp : 0.6746 0.8326 [2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] kitchen cabinet: 0.6893 0.7986 [2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] towel : 0.5400 0.6967 [2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] clothes : 0.2060 0.3771 [2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] tv : 0.8641 0.9252 [2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] nightstand : 0.6789 0.8993 [2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] counter : 0.3147 0.4954 [2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] dresser : 0.4462 0.6330 [2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] stool : 0.6019 0.7855 [2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] plant : 0.7520 0.8955 [2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] ceiling : 0.9306 0.9676 [2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] bathtub : 0.8730 0.9213 [2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] end table : 0.2589 0.4016 [2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] dining table : 0.0589 0.0800 [2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] keyboard : 0.4352 0.5679 [2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] bag : 0.2227 0.3256 [2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] backpack : 0.6175 0.7195 [2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] toilet paper : 0.4862 0.6027 [2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] printer : 0.4702 0.5807 [2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] tv stand : 0.3305 0.4113 [2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] whiteboard : 0.5333 0.6828 [2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] blanket : 0.0320 0.0489 [2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] shower curtain : 0.6896 0.7689 [2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] trash can : 0.6473 0.8356 [2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] closet : 0.1188 0.1594 [2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] stairs : 0.4359 0.6960 [2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] microwave : 0.6034 0.7513 [2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] stove : 0.6559 0.8405 [2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] shoe : 0.5213 0.6773 [2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] computer tower : 0.5851 0.7939 [2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] bottle : 0.1530 0.2952 [2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] bin : 0.0007 0.0011 [2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] ottoman : 0.3917 0.4287 [2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] bench : 0.3807 0.4567 [2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] board : 0.1805 0.3079 [2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] washing machine: 0.8379 0.9362 [2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] mirror : 0.3882 0.4786 [2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] copier : 0.8581 0.9513 [2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] sofa chair : 0.1596 0.2784 [2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] file cabinet : 0.4303 0.5321 [2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] fan : 0.3795 0.4342 [2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] laptop : 0.5270 0.7371 [2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] shower : 0.2170 0.2356 [2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] paper : 0.0584 0.0837 [2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] person : 0.2958 0.6125 [2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] paper towel dispenser: 0.5787 0.8163 [2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] oven : 0.1404 0.1657 [2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] blinds : 0.0003 0.0003 [2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] blackboard : 0.6235 0.6770 [2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] piano : 0.3594 0.5538 [2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] suitcase : 0.6041 0.7446 [2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] rail : 0.0399 0.0427 [2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] radiator : 0.6977 0.7851 [2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] recycling bin : 0.4921 0.6586 [2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] container : 0.0206 0.0433 [2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] wardrobe : 0.1119 0.1519 [2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] soap dispenser : 0.8568 0.9110 [2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] telephone : 0.2960 0.3624 [2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] bucket : 0.3608 0.4451 [2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] clock : 0.2561 0.2921 [2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] light : 0.0554 0.0638 [2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] laundry basket : 0.0348 0.0393 [2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] pipe : 0.0488 0.0858 [2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] clothes dryer : 0.5962 0.6064 [2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] guitar : 0.6446 0.7264 [2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] toilet paper holder: 0.0618 0.1809 [2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] column : 0.1257 0.1716 [2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] ladder : 0.5198 0.5827 [2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] bathroom stall : 0.4377 0.4867 [2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] shower wall : 0.4763 0.6210 [2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] cup : 0.1832 0.3194 [2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] jacket : 0.2112 0.2881 [2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] storage bin : 0.0092 0.0113 [2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] coffee maker : 0.7887 0.9796 [2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] dishwasher : 0.2599 0.3758 [2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] paper towel roll: 0.3123 0.3941 [2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] mat : 0.2939 0.3312 [2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] windowsill : 0.1135 0.1255 [2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] bar : 0.1679 0.2534 [2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] toaster : 0.3814 0.8377 [2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] bulletin board : 0.2557 0.3604 [2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] ironing board : 0.1931 0.2166 [2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] fireplace : 0.5918 0.6137 [2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] soap dish : 0.3733 0.5077 [2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] kitchen counter: 0.5331 0.6490 [2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] doorframe : 0.4312 0.6931 [2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4020 0.4844 [2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] mini fridge : 0.3455 0.3595 [2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] fire extinguisher: 0.2342 0.2536 [2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] ball : 0.6021 0.8000 [2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] shower curtain rod: 0.3848 0.9198 [2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] water cooler : 0.6436 0.7335 [2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] paper cutter : 0.2570 0.2966 [2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] tray : 0.0707 0.1096 [2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] shower door : 0.2100 0.3075 [2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] pillar : 0.0003 0.0003 [2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] ledge : 0.0520 0.0680 [2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] mouse : 0.1315 0.4781 [2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7379 0.8040 [2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] cart : 0.0970 0.1092 [2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] scale : 0.4353 0.9415 [2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] tissue box : 0.2664 0.3192 [2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] light switch : 0.0273 0.0717 [2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] power outlet : 0.2904 0.3667 [2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] decoration : 0.3112 0.4221 [2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] projector : 0.0678 1.0000 [2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] closet door : 0.1457 0.1663 [2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] vacuum cleaner : 0.8645 0.9770 [2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] plunger : 0.5534 0.9842 [2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] headphones : 0.0193 0.0294 [2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] dish rack : 0.8086 0.9660 [2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] broom : 0.1218 0.1771 [2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] range hood : 0.7686 0.9092 [2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] dustpan : 0.0495 0.1139 [2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] handicap bar : 0.0252 0.3304 [2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] vent : 0.0816 0.0962 [2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] shower floor : 0.8821 0.9961 [2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] mailbox : 0.4212 0.4334 [2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] bowl : 0.1483 0.1648 [2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] paper bag : 0.0637 0.1089 [2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] projector screen: 0.0005 0.0005 [2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] divider : 0.4406 0.4902 [2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] bathroom counter: 0.1987 0.2584 [2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] object : 0.0433 0.0683 [2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] bathroom vanity: 0.5398 0.7940 [2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] closet wall : 0.0371 0.0508 [2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] laundry hamper : 0.0162 0.0180 [2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] bathroom stall door: 0.5984 0.7558 [2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] ceiling light : 0.4187 0.5346 [2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] trash bin : 0.2269 0.2928 [2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] dumbbell : 0.7696 0.9752 [2025-03-11 06:10:41,058 INFO hook.py line 689 2389709] stair rail : 0.1288 0.1441 [2025-03-11 06:10:41,058 INFO hook.py line 689 2389709] tube : 0.0954 0.1243 [2025-03-11 06:10:41,058 INFO hook.py line 689 2389709] bathroom cabinet: 0.4952 0.7415 [2025-03-11 06:10:41,058 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 06:10:41,058 INFO hook.py line 689 2389709] closet rod : 0.5717 0.8724 [2025-03-11 06:10:41,058 INFO hook.py line 689 2389709] coffee kettle : 0.4171 0.4727 [2025-03-11 06:10:41,058 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 06:10:41,058 INFO hook.py line 689 2389709] shower head : 0.3132 0.3910 [2025-03-11 06:10:41,058 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 06:10:41,058 INFO hook.py line 689 2389709] case of water bottles: 0.1700 0.1723 [2025-03-11 06:10:41,058 INFO hook.py line 689 2389709] coat rack : 0.0015 0.0048 [2025-03-11 06:10:41,059 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 06:10:41,059 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 06:10:41,059 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 06:10:41,060 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 06:10:41,060 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 06:10:41,060 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 06:10:41,060 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 06:10:41,060 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 06:10:41,060 INFO hook.py line 689 2389709] mattress : 0.0199 0.0200 [2025-03-11 06:10:41,060 INFO hook.py line 690 2389709] ######################################## [2025-03-11 06:10:41,060 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3244/0.4177/0.8263. [2025-03-11 06:10:41,061 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 06:10:41,115 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3258 [2025-03-11 06:10:41,115 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 06:11:12,057 INFO hook.py line 566 2389709] Train: [88/100][50/300] Data 0.002 (0.002) Batch 0.421 (0.482) Remain 00:30:57 loss: 0.3926 Lr: 2.23276e-04 [2025-03-11 06:11:36,937 INFO hook.py line 566 2389709] Train: [88/100][100/300] Data 0.002 (0.002) Batch 0.466 (0.490) Remain 00:31:02 loss: 0.5634 Lr: 2.17625e-04 [2025-03-11 06:12:01,908 INFO hook.py line 566 2389709] Train: [88/100][150/300] Data 0.003 (0.002) Batch 0.506 (0.493) Remain 00:30:50 loss: 0.5874 Lr: 2.12043e-04 [2025-03-11 06:12:26,558 INFO hook.py line 566 2389709] Train: [88/100][200/300] Data 0.002 (0.002) Batch 0.493 (0.493) Remain 00:30:25 loss: 0.2714 Lr: 2.06531e-04 [2025-03-11 06:12:51,327 INFO hook.py line 566 2389709] Train: [88/100][250/300] Data 0.002 (0.002) Batch 0.558 (0.494) Remain 00:30:01 loss: 0.5855 Lr: 2.01088e-04 [2025-03-11 06:13:15,804 INFO hook.py line 566 2389709] Train: [88/100][300/300] Data 0.002 (0.002) Batch 0.486 (0.493) Remain 00:29:34 loss: 0.5096 Lr: 1.95716e-04 [2025-03-11 06:13:15,805 INFO misc.py line 135 2389709] Train result: loss: 0.4172 [2025-03-11 06:13:15,911 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 06:14:11,020 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2878 [2025-03-11 06:14:11,068 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3334 [2025-03-11 06:14:11,113 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4759 [2025-03-11 06:14:11,168 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4316 [2025-03-11 06:14:11,206 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8504 [2025-03-11 06:14:11,264 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2305 [2025-03-11 06:14:11,316 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7566 [2025-03-11 06:14:11,352 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3180 [2025-03-11 06:14:11,404 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1802 [2025-03-11 06:14:11,451 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1425 [2025-03-11 06:14:11,500 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2087 [2025-03-11 06:14:11,535 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0950 [2025-03-11 06:14:11,583 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.2126 [2025-03-11 06:14:11,624 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.2454 [2025-03-11 06:14:11,661 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2073 [2025-03-11 06:14:11,713 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0697 [2025-03-11 06:14:11,757 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4182 [2025-03-11 06:14:11,794 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1037 [2025-03-11 06:14:11,839 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4466 [2025-03-11 06:14:11,876 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7438 [2025-03-11 06:14:11,912 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6690 [2025-03-11 06:14:11,954 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8935 [2025-03-11 06:14:11,996 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5644 [2025-03-11 06:14:12,047 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0999 [2025-03-11 06:14:12,089 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.6108 [2025-03-11 06:14:12,139 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5928 [2025-03-11 06:14:12,192 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9995 [2025-03-11 06:14:12,233 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7691 [2025-03-11 06:14:12,264 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0390 [2025-03-11 06:14:12,319 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5086 [2025-03-11 06:14:12,378 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.3920 [2025-03-11 06:14:12,414 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.5278 [2025-03-11 06:14:12,472 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7183 [2025-03-11 06:14:12,511 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3365 [2025-03-11 06:14:12,558 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3305 [2025-03-11 06:14:12,603 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.6427 [2025-03-11 06:14:12,641 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.1799 [2025-03-11 06:14:12,670 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9334 [2025-03-11 06:14:12,740 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.2391 [2025-03-11 06:14:12,788 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4463 [2025-03-11 06:14:12,834 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4429 [2025-03-11 06:14:12,863 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4252 [2025-03-11 06:14:12,909 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1334 [2025-03-11 06:14:12,967 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8641 [2025-03-11 06:14:13,002 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.8436 [2025-03-11 06:14:13,050 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2249 [2025-03-11 06:14:13,088 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7554 [2025-03-11 06:14:13,122 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9874 [2025-03-11 06:14:13,153 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.8546 [2025-03-11 06:14:13,184 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4493 [2025-03-11 06:14:13,215 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0929 [2025-03-11 06:14:13,249 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6440 [2025-03-11 06:14:13,276 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4225 [2025-03-11 06:14:13,310 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.4898 [2025-03-11 06:14:13,349 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4113 [2025-03-11 06:14:13,390 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9280 [2025-03-11 06:14:13,423 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.3295 [2025-03-11 06:14:13,448 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7804 [2025-03-11 06:14:13,487 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8247 [2025-03-11 06:14:13,525 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5281 [2025-03-11 06:14:13,550 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7544 [2025-03-11 06:14:13,585 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0190 [2025-03-11 06:14:13,623 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0869 [2025-03-11 06:14:13,681 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9817 [2025-03-11 06:14:13,709 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4576 [2025-03-11 06:14:13,751 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.3373 [2025-03-11 06:14:13,791 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9490 [2025-03-11 06:14:13,827 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1065 [2025-03-11 06:14:13,858 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3987 [2025-03-11 06:14:13,918 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.1756 [2025-03-11 06:14:13,962 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.9333 [2025-03-11 06:14:14,017 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.8507 [2025-03-11 06:14:14,070 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7134 [2025-03-11 06:14:14,113 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.7733 [2025-03-11 06:14:14,164 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5661 [2025-03-11 06:14:14,192 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.2472 [2025-03-11 06:14:14,251 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4622 [2025-03-11 06:14:14,278 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.1882 [2025-03-11 06:14:15,551 INFO hook.py line 674 2389709] ######################################## [2025-03-11 06:14:15,551 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 06:14:15,552 INFO hook.py line 680 2389709] ######################################## [2025-03-11 06:14:15,552 INFO hook.py line 689 2389709] wall : 0.7996 0.9253 [2025-03-11 06:14:15,552 INFO hook.py line 689 2389709] chair : 0.7166 0.8381 [2025-03-11 06:14:15,552 INFO hook.py line 689 2389709] floor : 0.9591 0.9812 [2025-03-11 06:14:15,552 INFO hook.py line 689 2389709] table : 0.6352 0.7873 [2025-03-11 06:14:15,552 INFO hook.py line 689 2389709] door : 0.6673 0.8056 [2025-03-11 06:14:15,552 INFO hook.py line 689 2389709] couch : 0.7946 0.9229 [2025-03-11 06:14:15,552 INFO hook.py line 689 2389709] cabinet : 0.3925 0.5621 [2025-03-11 06:14:15,552 INFO hook.py line 689 2389709] shelf : 0.4138 0.5702 [2025-03-11 06:14:15,552 INFO hook.py line 689 2389709] desk : 0.5938 0.7900 [2025-03-11 06:14:15,552 INFO hook.py line 689 2389709] office chair : 0.2147 0.3732 [2025-03-11 06:14:15,553 INFO hook.py line 689 2389709] bed : 0.8071 0.9038 [2025-03-11 06:14:15,553 INFO hook.py line 689 2389709] pillow : 0.5911 0.7818 [2025-03-11 06:14:15,553 INFO hook.py line 689 2389709] sink : 0.6758 0.7845 [2025-03-11 06:14:15,553 INFO hook.py line 689 2389709] picture : 0.3857 0.5315 [2025-03-11 06:14:15,553 INFO hook.py line 689 2389709] window : 0.6028 0.7691 [2025-03-11 06:14:15,553 INFO hook.py line 689 2389709] toilet : 0.9516 0.9717 [2025-03-11 06:14:15,553 INFO hook.py line 689 2389709] bookshelf : 0.4867 0.6672 [2025-03-11 06:14:15,553 INFO hook.py line 689 2389709] monitor : 0.8559 0.9178 [2025-03-11 06:14:15,553 INFO hook.py line 689 2389709] curtain : 0.7136 0.8566 [2025-03-11 06:14:15,553 INFO hook.py line 689 2389709] book : 0.4548 0.6799 [2025-03-11 06:14:15,553 INFO hook.py line 689 2389709] armchair : 0.5657 0.7403 [2025-03-11 06:14:15,553 INFO hook.py line 689 2389709] coffee table : 0.6307 0.7676 [2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] box : 0.2872 0.3568 [2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] refrigerator : 0.6862 0.7214 [2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] lamp : 0.6896 0.8092 [2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] kitchen cabinet: 0.7027 0.8111 [2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] towel : 0.5169 0.6411 [2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] clothes : 0.2094 0.4001 [2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] tv : 0.8741 0.9344 [2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] nightstand : 0.7232 0.9029 [2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] counter : 0.2794 0.4241 [2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] dresser : 0.4070 0.5484 [2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] stool : 0.5898 0.7667 [2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] plant : 0.7384 0.8904 [2025-03-11 06:14:15,555 INFO hook.py line 689 2389709] ceiling : 0.9303 0.9639 [2025-03-11 06:14:15,555 INFO hook.py line 689 2389709] bathtub : 0.8816 0.9178 [2025-03-11 06:14:15,555 INFO hook.py line 689 2389709] end table : 0.3025 0.4824 [2025-03-11 06:14:15,555 INFO hook.py line 689 2389709] dining table : 0.0174 0.0280 [2025-03-11 06:14:15,555 INFO hook.py line 689 2389709] keyboard : 0.4237 0.5737 [2025-03-11 06:14:15,555 INFO hook.py line 689 2389709] bag : 0.2470 0.3658 [2025-03-11 06:14:15,555 INFO hook.py line 689 2389709] backpack : 0.6311 0.7440 [2025-03-11 06:14:15,555 INFO hook.py line 689 2389709] toilet paper : 0.5011 0.6234 [2025-03-11 06:14:15,555 INFO hook.py line 689 2389709] printer : 0.4653 0.6105 [2025-03-11 06:14:15,555 INFO hook.py line 689 2389709] tv stand : 0.3510 0.4591 [2025-03-11 06:14:15,555 INFO hook.py line 689 2389709] whiteboard : 0.5102 0.7180 [2025-03-11 06:14:15,555 INFO hook.py line 689 2389709] blanket : 0.0176 0.0213 [2025-03-11 06:14:15,556 INFO hook.py line 689 2389709] shower curtain : 0.7045 0.7729 [2025-03-11 06:14:15,556 INFO hook.py line 689 2389709] trash can : 0.6247 0.8526 [2025-03-11 06:14:15,556 INFO hook.py line 689 2389709] closet : 0.1014 0.1646 [2025-03-11 06:14:15,556 INFO hook.py line 689 2389709] stairs : 0.4742 0.6917 [2025-03-11 06:14:15,556 INFO hook.py line 689 2389709] microwave : 0.6135 0.7327 [2025-03-11 06:14:15,556 INFO hook.py line 689 2389709] stove : 0.6707 0.8655 [2025-03-11 06:14:15,556 INFO hook.py line 689 2389709] shoe : 0.5484 0.6967 [2025-03-11 06:14:15,556 INFO hook.py line 689 2389709] computer tower : 0.5500 0.7857 [2025-03-11 06:14:15,556 INFO hook.py line 689 2389709] bottle : 0.1175 0.2339 [2025-03-11 06:14:15,556 INFO hook.py line 689 2389709] bin : 0.0049 0.0114 [2025-03-11 06:14:15,556 INFO hook.py line 689 2389709] ottoman : 0.3426 0.3553 [2025-03-11 06:14:15,556 INFO hook.py line 689 2389709] bench : 0.3273 0.3586 [2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] board : 0.2232 0.3431 [2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] washing machine: 0.8619 0.9481 [2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] mirror : 0.4035 0.5118 [2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] copier : 0.8775 0.9383 [2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] sofa chair : 0.1833 0.2553 [2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] file cabinet : 0.4503 0.5752 [2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] fan : 0.3762 0.4468 [2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] laptop : 0.5318 0.7652 [2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] shower : 0.2353 0.2544 [2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] paper : 0.0522 0.0682 [2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] person : 0.2812 0.5683 [2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] paper towel dispenser: 0.6018 0.8069 [2025-03-11 06:14:15,558 INFO hook.py line 689 2389709] oven : 0.1521 0.1756 [2025-03-11 06:14:15,558 INFO hook.py line 689 2389709] blinds : 0.0012 0.0013 [2025-03-11 06:14:15,558 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 06:14:15,558 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 06:14:15,558 INFO hook.py line 689 2389709] blackboard : 0.6079 0.6842 [2025-03-11 06:14:15,558 INFO hook.py line 689 2389709] piano : 0.4120 0.5436 [2025-03-11 06:14:15,558 INFO hook.py line 689 2389709] suitcase : 0.7150 0.8334 [2025-03-11 06:14:15,558 INFO hook.py line 689 2389709] rail : 0.0296 0.0316 [2025-03-11 06:14:15,558 INFO hook.py line 689 2389709] radiator : 0.6758 0.7468 [2025-03-11 06:14:15,558 INFO hook.py line 689 2389709] recycling bin : 0.4518 0.6651 [2025-03-11 06:14:15,558 INFO hook.py line 689 2389709] container : 0.0131 0.0347 [2025-03-11 06:14:15,558 INFO hook.py line 689 2389709] wardrobe : 0.1737 0.2513 [2025-03-11 06:14:15,559 INFO hook.py line 689 2389709] soap dispenser : 0.8750 0.9122 [2025-03-11 06:14:15,559 INFO hook.py line 689 2389709] telephone : 0.2918 0.4184 [2025-03-11 06:14:15,559 INFO hook.py line 689 2389709] bucket : 0.3218 0.4313 [2025-03-11 06:14:15,559 INFO hook.py line 689 2389709] clock : 0.2495 0.2874 [2025-03-11 06:14:15,559 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 06:14:15,559 INFO hook.py line 689 2389709] light : 0.0515 0.0581 [2025-03-11 06:14:15,559 INFO hook.py line 689 2389709] laundry basket : 0.0237 0.0270 [2025-03-11 06:14:15,559 INFO hook.py line 689 2389709] pipe : 0.0720 0.1309 [2025-03-11 06:14:15,559 INFO hook.py line 689 2389709] clothes dryer : 0.6785 0.6889 [2025-03-11 06:14:15,559 INFO hook.py line 689 2389709] guitar : 0.7244 0.7993 [2025-03-11 06:14:15,559 INFO hook.py line 689 2389709] toilet paper holder: 0.0337 0.1363 [2025-03-11 06:14:15,559 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 06:14:15,560 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 06:14:15,560 INFO hook.py line 689 2389709] column : 0.1429 0.2088 [2025-03-11 06:14:15,560 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 06:14:15,560 INFO hook.py line 689 2389709] ladder : 0.5542 0.5955 [2025-03-11 06:14:15,560 INFO hook.py line 689 2389709] bathroom stall : 0.4183 0.4869 [2025-03-11 06:14:15,560 INFO hook.py line 689 2389709] shower wall : 0.4576 0.5784 [2025-03-11 06:14:15,560 INFO hook.py line 689 2389709] cup : 0.2013 0.3599 [2025-03-11 06:14:15,560 INFO hook.py line 689 2389709] jacket : 0.1869 0.2553 [2025-03-11 06:14:15,560 INFO hook.py line 689 2389709] storage bin : 0.0022 0.0028 [2025-03-11 06:14:15,560 INFO hook.py line 689 2389709] coffee maker : 0.7196 0.9934 [2025-03-11 06:14:15,560 INFO hook.py line 689 2389709] dishwasher : 0.2968 0.4036 [2025-03-11 06:14:15,560 INFO hook.py line 689 2389709] paper towel roll: 0.3679 0.3946 [2025-03-11 06:14:15,561 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 06:14:15,561 INFO hook.py line 689 2389709] mat : 0.2594 0.2767 [2025-03-11 06:14:15,561 INFO hook.py line 689 2389709] windowsill : 0.1069 0.1158 [2025-03-11 06:14:15,561 INFO hook.py line 689 2389709] bar : 0.1852 0.2817 [2025-03-11 06:14:15,561 INFO hook.py line 689 2389709] toaster : 0.4323 0.8743 [2025-03-11 06:14:15,561 INFO hook.py line 689 2389709] bulletin board : 0.2586 0.4328 [2025-03-11 06:14:15,561 INFO hook.py line 689 2389709] ironing board : 0.2073 0.2295 [2025-03-11 06:14:15,561 INFO hook.py line 689 2389709] fireplace : 0.5477 0.5716 [2025-03-11 06:14:15,561 INFO hook.py line 689 2389709] soap dish : 0.3658 0.5190 [2025-03-11 06:14:15,561 INFO hook.py line 689 2389709] kitchen counter: 0.5566 0.6723 [2025-03-11 06:14:15,561 INFO hook.py line 689 2389709] doorframe : 0.4243 0.6768 [2025-03-11 06:14:15,561 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4375 0.5419 [2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] mini fridge : 0.3646 0.3826 [2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] fire extinguisher: 0.2841 0.3346 [2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] ball : 0.7098 0.9340 [2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] shower curtain rod: 0.4530 0.9059 [2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] water cooler : 0.5514 0.7518 [2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] paper cutter : 0.3268 0.4019 [2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] tray : 0.0595 0.1245 [2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] shower door : 0.2502 0.2924 [2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] ledge : 0.0360 0.0518 [2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] toaster oven : 0.0013 0.0014 [2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] mouse : 0.1112 0.4027 [2025-03-11 06:14:15,563 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7192 0.8148 [2025-03-11 06:14:15,563 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 06:14:15,563 INFO hook.py line 689 2389709] cart : 0.1850 0.2146 [2025-03-11 06:14:15,563 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 06:14:15,563 INFO hook.py line 689 2389709] scale : 0.4898 0.9423 [2025-03-11 06:14:15,563 INFO hook.py line 689 2389709] tissue box : 0.2626 0.3206 [2025-03-11 06:14:15,563 INFO hook.py line 689 2389709] light switch : 0.0040 0.0094 [2025-03-11 06:14:15,563 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 06:14:15,563 INFO hook.py line 689 2389709] power outlet : 0.2833 0.3816 [2025-03-11 06:14:15,563 INFO hook.py line 689 2389709] decoration : 0.2331 0.3773 [2025-03-11 06:14:15,563 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 06:14:15,563 INFO hook.py line 689 2389709] projector : 0.0674 1.0000 [2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] closet door : 0.1106 0.1241 [2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] vacuum cleaner : 0.8352 0.9804 [2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] plunger : 0.5597 0.9772 [2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] headphones : 0.0013 0.0017 [2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] dish rack : 0.7860 0.9671 [2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] broom : 0.1034 0.1667 [2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] range hood : 0.7557 0.9038 [2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] dustpan : 0.0891 0.2038 [2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] hair dryer : 0.0013 0.0020 [2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] handicap bar : 0.0445 0.6618 [2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] vent : 0.0241 0.0243 [2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] shower floor : 0.9035 0.9928 [2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] mailbox : 0.4439 0.4656 [2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] bowl : 0.1970 0.2562 [2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] paper bag : 0.0761 0.0922 [2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] divider : 0.4748 0.5284 [2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 06:14:15,566 INFO hook.py line 689 2389709] bathroom counter: 0.2830 0.3324 [2025-03-11 06:14:15,566 INFO hook.py line 689 2389709] object : 0.0425 0.0695 [2025-03-11 06:14:15,566 INFO hook.py line 689 2389709] bathroom vanity: 0.5052 0.8462 [2025-03-11 06:14:15,566 INFO hook.py line 689 2389709] closet wall : 0.0226 0.0318 [2025-03-11 06:14:15,566 INFO hook.py line 689 2389709] laundry hamper : 0.0281 0.0314 [2025-03-11 06:14:15,566 INFO hook.py line 689 2389709] bathroom stall door: 0.5700 0.7202 [2025-03-11 06:14:15,566 INFO hook.py line 689 2389709] ceiling light : 0.3908 0.4762 [2025-03-11 06:14:15,566 INFO hook.py line 689 2389709] trash bin : 0.2440 0.3258 [2025-03-11 06:14:15,566 INFO hook.py line 689 2389709] dumbbell : 0.7597 0.9843 [2025-03-11 06:14:15,566 INFO hook.py line 689 2389709] stair rail : 0.1461 0.1729 [2025-03-11 06:14:15,566 INFO hook.py line 689 2389709] tube : 0.0972 0.1196 [2025-03-11 06:14:15,566 INFO hook.py line 689 2389709] bathroom cabinet: 0.3121 0.3742 [2025-03-11 06:14:15,567 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 06:14:15,567 INFO hook.py line 689 2389709] closet rod : 0.5047 0.8412 [2025-03-11 06:14:15,567 INFO hook.py line 689 2389709] coffee kettle : 0.4811 0.5863 [2025-03-11 06:14:15,567 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 06:14:15,567 INFO hook.py line 689 2389709] shower head : 0.3022 0.3781 [2025-03-11 06:14:15,567 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 06:14:15,567 INFO hook.py line 689 2389709] case of water bottles: 0.1780 0.1821 [2025-03-11 06:14:15,567 INFO hook.py line 689 2389709] coat rack : 0.0036 0.0119 [2025-03-11 06:14:15,567 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 06:14:15,567 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 06:14:15,567 INFO hook.py line 689 2389709] fire alarm : 0.0131 0.0455 [2025-03-11 06:14:15,567 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 06:14:15,568 INFO hook.py line 689 2389709] calendar : 0.0041 0.0071 [2025-03-11 06:14:15,568 INFO hook.py line 689 2389709] poster : 0.0007 0.0007 [2025-03-11 06:14:15,568 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 06:14:15,568 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 06:14:15,568 INFO hook.py line 689 2389709] mattress : 0.0487 0.0490 [2025-03-11 06:14:15,568 INFO hook.py line 690 2389709] ######################################## [2025-03-11 06:14:15,568 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3273/0.4228/0.8270. [2025-03-11 06:14:15,569 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 06:14:15,592 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.3273 [2025-03-11 06:14:15,592 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3273 [2025-03-11 06:14:15,592 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 06:14:45,615 INFO hook.py line 566 2389709] Train: [89/100][50/300] Data 0.002 (0.002) Batch 0.600 (0.487) Remain 00:28:48 loss: 0.5040 Lr: 1.90413e-04 [2025-03-11 06:15:09,451 INFO hook.py line 566 2389709] Train: [89/100][100/300] Data 0.003 (0.002) Batch 0.456 (0.482) Remain 00:28:05 loss: 0.3071 Lr: 1.85285e-04 [2025-03-11 06:15:34,401 INFO hook.py line 566 2389709] Train: [89/100][150/300] Data 0.002 (0.002) Batch 0.585 (0.488) Remain 00:28:01 loss: 0.4536 Lr: 1.80121e-04 [2025-03-11 06:15:59,206 INFO hook.py line 566 2389709] Train: [89/100][200/300] Data 0.002 (0.002) Batch 0.460 (0.490) Remain 00:27:44 loss: 0.5062 Lr: 1.75028e-04 [2025-03-11 06:16:23,937 INFO hook.py line 566 2389709] Train: [89/100][250/300] Data 0.002 (0.002) Batch 0.494 (0.491) Remain 00:27:23 loss: 0.4271 Lr: 1.70006e-04 [2025-03-11 06:16:47,762 INFO hook.py line 566 2389709] Train: [89/100][300/300] Data 0.002 (0.002) Batch 0.501 (0.488) Remain 00:26:51 loss: 0.6061 Lr: 1.65054e-04 [2025-03-11 06:16:47,763 INFO misc.py line 135 2389709] Train result: loss: 0.4146 [2025-03-11 06:16:47,875 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 06:17:36,730 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3032 [2025-03-11 06:17:36,780 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3301 [2025-03-11 06:17:36,819 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4618 [2025-03-11 06:17:36,872 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4536 [2025-03-11 06:17:36,914 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8717 [2025-03-11 06:17:36,973 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1280 [2025-03-11 06:17:37,035 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8440 [2025-03-11 06:17:37,072 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2348 [2025-03-11 06:17:37,120 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2862 [2025-03-11 06:17:37,159 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1594 [2025-03-11 06:17:37,208 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1187 [2025-03-11 06:17:37,247 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.4931 [2025-03-11 06:17:37,299 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.0270 [2025-03-11 06:17:37,345 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.7260 [2025-03-11 06:17:37,387 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2003 [2025-03-11 06:17:37,439 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0734 [2025-03-11 06:17:37,486 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4982 [2025-03-11 06:17:37,527 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0954 [2025-03-11 06:17:37,576 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2820 [2025-03-11 06:17:37,613 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6981 [2025-03-11 06:17:37,652 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6849 [2025-03-11 06:17:37,696 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9474 [2025-03-11 06:17:37,731 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5728 [2025-03-11 06:17:37,783 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0973 [2025-03-11 06:17:37,826 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4466 [2025-03-11 06:17:37,876 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5366 [2025-03-11 06:17:37,930 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9973 [2025-03-11 06:17:37,969 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7722 [2025-03-11 06:17:38,003 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0662 [2025-03-11 06:17:38,067 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.7595 [2025-03-11 06:17:38,128 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4399 [2025-03-11 06:17:38,169 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.5275 [2025-03-11 06:17:38,226 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7554 [2025-03-11 06:17:38,270 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3149 [2025-03-11 06:17:38,310 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2597 [2025-03-11 06:17:38,351 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7284 [2025-03-11 06:17:38,402 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.4763 [2025-03-11 06:17:38,434 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9471 [2025-03-11 06:17:38,506 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.7951 [2025-03-11 06:17:38,557 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4019 [2025-03-11 06:17:38,604 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3227 [2025-03-11 06:17:38,650 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4385 [2025-03-11 06:17:38,701 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1755 [2025-03-11 06:17:38,765 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8886 [2025-03-11 06:17:38,808 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.6720 [2025-03-11 06:17:38,859 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2046 [2025-03-11 06:17:38,900 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9479 [2025-03-11 06:17:38,939 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9779 [2025-03-11 06:17:38,974 INFO hook.py line 748 2389709] Test: [49/78] Loss 2.0150 [2025-03-11 06:17:39,011 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4215 [2025-03-11 06:17:39,045 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0577 [2025-03-11 06:17:39,085 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7297 [2025-03-11 06:17:39,116 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4116 [2025-03-11 06:17:39,156 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2884 [2025-03-11 06:17:39,198 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4625 [2025-03-11 06:17:39,239 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8372 [2025-03-11 06:17:39,277 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.3990 [2025-03-11 06:17:39,303 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.8111 [2025-03-11 06:17:39,345 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8723 [2025-03-11 06:17:39,386 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4360 [2025-03-11 06:17:39,415 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7929 [2025-03-11 06:17:39,454 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9715 [2025-03-11 06:17:39,496 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0218 [2025-03-11 06:17:39,553 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9523 [2025-03-11 06:17:39,585 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4692 [2025-03-11 06:17:39,629 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.2979 [2025-03-11 06:17:39,672 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8101 [2025-03-11 06:17:39,712 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0961 [2025-03-11 06:17:39,745 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4169 [2025-03-11 06:17:39,807 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.3466 [2025-03-11 06:17:39,850 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.0535 [2025-03-11 06:17:39,907 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9236 [2025-03-11 06:17:39,964 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7362 [2025-03-11 06:17:40,008 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.6678 [2025-03-11 06:17:40,061 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6290 [2025-03-11 06:17:40,089 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.2654 [2025-03-11 06:17:40,150 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4804 [2025-03-11 06:17:40,176 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.4545 [2025-03-11 06:17:41,485 INFO hook.py line 674 2389709] ######################################## [2025-03-11 06:17:41,486 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 06:17:41,486 INFO hook.py line 680 2389709] ######################################## [2025-03-11 06:17:41,486 INFO hook.py line 689 2389709] wall : 0.8002 0.9298 [2025-03-11 06:17:41,486 INFO hook.py line 689 2389709] chair : 0.7129 0.8255 [2025-03-11 06:17:41,486 INFO hook.py line 689 2389709] floor : 0.9595 0.9827 [2025-03-11 06:17:41,486 INFO hook.py line 689 2389709] table : 0.6475 0.8110 [2025-03-11 06:17:41,486 INFO hook.py line 689 2389709] door : 0.6669 0.8025 [2025-03-11 06:17:41,486 INFO hook.py line 689 2389709] couch : 0.8021 0.9181 [2025-03-11 06:17:41,486 INFO hook.py line 689 2389709] cabinet : 0.3881 0.5676 [2025-03-11 06:17:41,487 INFO hook.py line 689 2389709] shelf : 0.4057 0.5516 [2025-03-11 06:17:41,487 INFO hook.py line 689 2389709] desk : 0.5847 0.7846 [2025-03-11 06:17:41,487 INFO hook.py line 689 2389709] office chair : 0.1785 0.3137 [2025-03-11 06:17:41,487 INFO hook.py line 689 2389709] bed : 0.8049 0.8900 [2025-03-11 06:17:41,487 INFO hook.py line 689 2389709] pillow : 0.5732 0.8001 [2025-03-11 06:17:41,487 INFO hook.py line 689 2389709] sink : 0.6853 0.8026 [2025-03-11 06:17:41,487 INFO hook.py line 689 2389709] picture : 0.3899 0.5158 [2025-03-11 06:17:41,487 INFO hook.py line 689 2389709] window : 0.6079 0.7668 [2025-03-11 06:17:41,487 INFO hook.py line 689 2389709] toilet : 0.9424 0.9731 [2025-03-11 06:17:41,487 INFO hook.py line 689 2389709] bookshelf : 0.4755 0.6369 [2025-03-11 06:17:41,487 INFO hook.py line 689 2389709] monitor : 0.8677 0.9221 [2025-03-11 06:17:41,488 INFO hook.py line 689 2389709] curtain : 0.7391 0.8630 [2025-03-11 06:17:41,488 INFO hook.py line 689 2389709] book : 0.4578 0.7322 [2025-03-11 06:17:41,488 INFO hook.py line 689 2389709] armchair : 0.5666 0.8048 [2025-03-11 06:17:41,488 INFO hook.py line 689 2389709] coffee table : 0.6307 0.7488 [2025-03-11 06:17:41,488 INFO hook.py line 689 2389709] box : 0.3398 0.4913 [2025-03-11 06:17:41,488 INFO hook.py line 689 2389709] refrigerator : 0.6643 0.7373 [2025-03-11 06:17:41,488 INFO hook.py line 689 2389709] lamp : 0.6907 0.8144 [2025-03-11 06:17:41,488 INFO hook.py line 689 2389709] kitchen cabinet: 0.6983 0.8135 [2025-03-11 06:17:41,488 INFO hook.py line 689 2389709] towel : 0.5005 0.6881 [2025-03-11 06:17:41,488 INFO hook.py line 689 2389709] clothes : 0.2059 0.4050 [2025-03-11 06:17:41,489 INFO hook.py line 689 2389709] tv : 0.8923 0.9285 [2025-03-11 06:17:41,489 INFO hook.py line 689 2389709] nightstand : 0.7151 0.8952 [2025-03-11 06:17:41,489 INFO hook.py line 689 2389709] counter : 0.2994 0.4654 [2025-03-11 06:17:41,489 INFO hook.py line 689 2389709] dresser : 0.4508 0.6420 [2025-03-11 06:17:41,489 INFO hook.py line 689 2389709] stool : 0.5887 0.7443 [2025-03-11 06:17:41,489 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 06:17:41,489 INFO hook.py line 689 2389709] plant : 0.7613 0.8811 [2025-03-11 06:17:41,489 INFO hook.py line 689 2389709] ceiling : 0.9316 0.9660 [2025-03-11 06:17:41,489 INFO hook.py line 689 2389709] bathtub : 0.8906 0.9373 [2025-03-11 06:17:41,489 INFO hook.py line 689 2389709] end table : 0.2683 0.3713 [2025-03-11 06:17:41,489 INFO hook.py line 689 2389709] dining table : 0.0145 0.0178 [2025-03-11 06:17:41,490 INFO hook.py line 689 2389709] keyboard : 0.4177 0.5277 [2025-03-11 06:17:41,490 INFO hook.py line 689 2389709] bag : 0.1812 0.2638 [2025-03-11 06:17:41,490 INFO hook.py line 689 2389709] backpack : 0.6115 0.7022 [2025-03-11 06:17:41,490 INFO hook.py line 689 2389709] toilet paper : 0.5056 0.6189 [2025-03-11 06:17:41,490 INFO hook.py line 689 2389709] printer : 0.4564 0.6244 [2025-03-11 06:17:41,490 INFO hook.py line 689 2389709] tv stand : 0.3288 0.4069 [2025-03-11 06:17:41,490 INFO hook.py line 689 2389709] whiteboard : 0.5332 0.7049 [2025-03-11 06:17:41,490 INFO hook.py line 689 2389709] blanket : 0.0185 0.0250 [2025-03-11 06:17:41,490 INFO hook.py line 689 2389709] shower curtain : 0.7074 0.7907 [2025-03-11 06:17:41,490 INFO hook.py line 689 2389709] trash can : 0.6456 0.8716 [2025-03-11 06:17:41,490 INFO hook.py line 689 2389709] closet : 0.1124 0.1587 [2025-03-11 06:17:41,491 INFO hook.py line 689 2389709] stairs : 0.5630 0.6700 [2025-03-11 06:17:41,491 INFO hook.py line 689 2389709] microwave : 0.5913 0.7563 [2025-03-11 06:17:41,491 INFO hook.py line 689 2389709] stove : 0.6368 0.8628 [2025-03-11 06:17:41,491 INFO hook.py line 689 2389709] shoe : 0.5473 0.7254 [2025-03-11 06:17:41,491 INFO hook.py line 689 2389709] computer tower : 0.5553 0.7989 [2025-03-11 06:17:41,491 INFO hook.py line 689 2389709] bottle : 0.1163 0.2234 [2025-03-11 06:17:41,491 INFO hook.py line 689 2389709] bin : 0.0002 0.0005 [2025-03-11 06:17:41,491 INFO hook.py line 689 2389709] ottoman : 0.3316 0.3776 [2025-03-11 06:17:41,491 INFO hook.py line 689 2389709] bench : 0.4036 0.4464 [2025-03-11 06:17:41,491 INFO hook.py line 689 2389709] board : 0.2194 0.3120 [2025-03-11 06:17:41,491 INFO hook.py line 689 2389709] washing machine: 0.8493 0.9505 [2025-03-11 06:17:41,491 INFO hook.py line 689 2389709] mirror : 0.4016 0.4783 [2025-03-11 06:17:41,492 INFO hook.py line 689 2389709] copier : 0.8331 0.9461 [2025-03-11 06:17:41,492 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 06:17:41,492 INFO hook.py line 689 2389709] sofa chair : 0.1734 0.2469 [2025-03-11 06:17:41,492 INFO hook.py line 689 2389709] file cabinet : 0.4413 0.5394 [2025-03-11 06:17:41,492 INFO hook.py line 689 2389709] fan : 0.3519 0.4360 [2025-03-11 06:17:41,492 INFO hook.py line 689 2389709] laptop : 0.5581 0.7116 [2025-03-11 06:17:41,492 INFO hook.py line 689 2389709] shower : 0.2363 0.2415 [2025-03-11 06:17:41,492 INFO hook.py line 689 2389709] paper : 0.1029 0.1603 [2025-03-11 06:17:41,492 INFO hook.py line 689 2389709] person : 0.3008 0.5881 [2025-03-11 06:17:41,492 INFO hook.py line 689 2389709] paper towel dispenser: 0.5647 0.8390 [2025-03-11 06:17:41,492 INFO hook.py line 689 2389709] oven : 0.1580 0.1789 [2025-03-11 06:17:41,493 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 06:17:41,493 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 06:17:41,493 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 06:17:41,493 INFO hook.py line 689 2389709] blackboard : 0.6364 0.6856 [2025-03-11 06:17:41,493 INFO hook.py line 689 2389709] piano : 0.4984 0.6809 [2025-03-11 06:17:41,493 INFO hook.py line 689 2389709] suitcase : 0.6739 0.8600 [2025-03-11 06:17:41,493 INFO hook.py line 689 2389709] rail : 0.0496 0.0539 [2025-03-11 06:17:41,493 INFO hook.py line 689 2389709] radiator : 0.6496 0.7194 [2025-03-11 06:17:41,493 INFO hook.py line 689 2389709] recycling bin : 0.4951 0.6076 [2025-03-11 06:17:41,493 INFO hook.py line 689 2389709] container : 0.0008 0.0014 [2025-03-11 06:17:41,493 INFO hook.py line 689 2389709] wardrobe : 0.1371 0.1863 [2025-03-11 06:17:41,494 INFO hook.py line 689 2389709] soap dispenser : 0.8561 0.9217 [2025-03-11 06:17:41,494 INFO hook.py line 689 2389709] telephone : 0.3081 0.4120 [2025-03-11 06:17:41,494 INFO hook.py line 689 2389709] bucket : 0.3333 0.4511 [2025-03-11 06:17:41,494 INFO hook.py line 689 2389709] clock : 0.2544 0.3040 [2025-03-11 06:17:41,494 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 06:17:41,494 INFO hook.py line 689 2389709] light : 0.0527 0.0603 [2025-03-11 06:17:41,494 INFO hook.py line 689 2389709] laundry basket : 0.0647 0.0715 [2025-03-11 06:17:41,494 INFO hook.py line 689 2389709] pipe : 0.0493 0.0741 [2025-03-11 06:17:41,494 INFO hook.py line 689 2389709] clothes dryer : 0.5709 0.5773 [2025-03-11 06:17:41,494 INFO hook.py line 689 2389709] guitar : 0.6985 0.7898 [2025-03-11 06:17:41,494 INFO hook.py line 689 2389709] toilet paper holder: 0.0518 0.1429 [2025-03-11 06:17:41,495 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 06:17:41,495 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 06:17:41,495 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 06:17:41,495 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 06:17:41,495 INFO hook.py line 689 2389709] ladder : 0.5365 0.5722 [2025-03-11 06:17:41,495 INFO hook.py line 689 2389709] bathroom stall : 0.4264 0.4751 [2025-03-11 06:17:41,495 INFO hook.py line 689 2389709] shower wall : 0.4512 0.5807 [2025-03-11 06:17:41,495 INFO hook.py line 689 2389709] cup : 0.1863 0.3014 [2025-03-11 06:17:41,495 INFO hook.py line 689 2389709] jacket : 0.1931 0.2563 [2025-03-11 06:17:41,495 INFO hook.py line 689 2389709] storage bin : 0.0002 0.0002 [2025-03-11 06:17:41,495 INFO hook.py line 689 2389709] coffee maker : 0.7192 0.9519 [2025-03-11 06:17:41,496 INFO hook.py line 689 2389709] dishwasher : 0.3084 0.4511 [2025-03-11 06:17:41,496 INFO hook.py line 689 2389709] paper towel roll: 0.2615 0.3289 [2025-03-11 06:17:41,496 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 06:17:41,496 INFO hook.py line 689 2389709] mat : 0.1805 0.1899 [2025-03-11 06:17:41,496 INFO hook.py line 689 2389709] windowsill : 0.1366 0.1491 [2025-03-11 06:17:41,496 INFO hook.py line 689 2389709] bar : 0.1752 0.2843 [2025-03-11 06:17:41,496 INFO hook.py line 689 2389709] toaster : 0.4703 0.8343 [2025-03-11 06:17:41,496 INFO hook.py line 689 2389709] bulletin board : 0.2882 0.4840 [2025-03-11 06:17:41,496 INFO hook.py line 689 2389709] ironing board : 0.1966 0.2223 [2025-03-11 06:17:41,496 INFO hook.py line 689 2389709] fireplace : 0.6505 0.6785 [2025-03-11 06:17:41,496 INFO hook.py line 689 2389709] soap dish : 0.3738 0.5268 [2025-03-11 06:17:41,497 INFO hook.py line 689 2389709] kitchen counter: 0.5787 0.7116 [2025-03-11 06:17:41,497 INFO hook.py line 689 2389709] doorframe : 0.4307 0.6649 [2025-03-11 06:17:41,497 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4547 0.5506 [2025-03-11 06:17:41,497 INFO hook.py line 689 2389709] mini fridge : 0.3428 0.3784 [2025-03-11 06:17:41,497 INFO hook.py line 689 2389709] fire extinguisher: 0.2127 0.2463 [2025-03-11 06:17:41,497 INFO hook.py line 689 2389709] ball : 0.5463 0.6882 [2025-03-11 06:17:41,497 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 06:17:41,497 INFO hook.py line 689 2389709] shower curtain rod: 0.3899 0.9178 [2025-03-11 06:17:41,497 INFO hook.py line 689 2389709] water cooler : 0.6033 0.6767 [2025-03-11 06:17:41,498 INFO hook.py line 689 2389709] paper cutter : 0.2837 0.3324 [2025-03-11 06:17:41,498 INFO hook.py line 689 2389709] tray : 0.0807 0.1276 [2025-03-11 06:17:41,498 INFO hook.py line 689 2389709] shower door : 0.2454 0.2848 [2025-03-11 06:17:41,498 INFO hook.py line 689 2389709] pillar : 0.0001 0.0001 [2025-03-11 06:17:41,498 INFO hook.py line 689 2389709] ledge : 0.0411 0.0532 [2025-03-11 06:17:41,498 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 06:17:41,498 INFO hook.py line 689 2389709] mouse : 0.0995 0.4192 [2025-03-11 06:17:41,498 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6922 0.8328 [2025-03-11 06:17:41,498 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 06:17:41,498 INFO hook.py line 689 2389709] cart : 0.1706 0.2011 [2025-03-11 06:17:41,498 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 06:17:41,499 INFO hook.py line 689 2389709] scale : 0.4753 0.9360 [2025-03-11 06:17:41,499 INFO hook.py line 689 2389709] tissue box : 0.2486 0.2992 [2025-03-11 06:17:41,499 INFO hook.py line 689 2389709] light switch : 0.0230 0.0714 [2025-03-11 06:17:41,499 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 06:17:41,499 INFO hook.py line 689 2389709] power outlet : 0.2544 0.3747 [2025-03-11 06:17:41,499 INFO hook.py line 689 2389709] decoration : 0.3735 0.5854 [2025-03-11 06:17:41,499 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 06:17:41,499 INFO hook.py line 689 2389709] projector : 0.0448 1.0000 [2025-03-11 06:17:41,500 INFO hook.py line 689 2389709] closet door : 0.0596 0.0640 [2025-03-11 06:17:41,500 INFO hook.py line 689 2389709] vacuum cleaner : 0.8203 0.9869 [2025-03-11 06:17:41,500 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 06:17:41,500 INFO hook.py line 689 2389709] plunger : 0.6433 0.9842 [2025-03-11 06:17:41,500 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 06:17:41,500 INFO hook.py line 689 2389709] headphones : 0.0207 0.0258 [2025-03-11 06:17:41,500 INFO hook.py line 689 2389709] dish rack : 0.8012 0.9659 [2025-03-11 06:17:41,500 INFO hook.py line 689 2389709] broom : 0.1289 0.2144 [2025-03-11 06:17:41,500 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 06:17:41,500 INFO hook.py line 689 2389709] range hood : 0.7500 0.9098 [2025-03-11 06:17:41,501 INFO hook.py line 689 2389709] dustpan : 0.0905 0.1890 [2025-03-11 06:17:41,501 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 06:17:41,501 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 06:17:41,501 INFO hook.py line 689 2389709] handicap bar : 0.0082 0.1020 [2025-03-11 06:17:41,501 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 06:17:41,501 INFO hook.py line 689 2389709] vent : 0.1616 0.1789 [2025-03-11 06:17:41,501 INFO hook.py line 689 2389709] shower floor : 0.8850 0.9967 [2025-03-11 06:17:41,501 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 06:17:41,501 INFO hook.py line 689 2389709] mailbox : 0.4654 0.4802 [2025-03-11 06:17:41,501 INFO hook.py line 689 2389709] bowl : 0.1044 0.1271 [2025-03-11 06:17:41,501 INFO hook.py line 689 2389709] paper bag : 0.0622 0.0929 [2025-03-11 06:17:41,502 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 06:17:41,502 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 06:17:41,502 INFO hook.py line 689 2389709] projector screen: 0.0001 0.0001 [2025-03-11 06:17:41,502 INFO hook.py line 689 2389709] divider : 0.3746 0.4043 [2025-03-11 06:17:41,502 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 06:17:41,502 INFO hook.py line 689 2389709] bathroom counter: 0.2436 0.2845 [2025-03-11 06:17:41,502 INFO hook.py line 689 2389709] object : 0.0528 0.0916 [2025-03-11 06:17:41,502 INFO hook.py line 689 2389709] bathroom vanity: 0.5274 0.8216 [2025-03-11 06:17:41,502 INFO hook.py line 689 2389709] closet wall : 0.0289 0.0390 [2025-03-11 06:17:41,502 INFO hook.py line 689 2389709] laundry hamper : 0.0130 0.0156 [2025-03-11 06:17:41,502 INFO hook.py line 689 2389709] bathroom stall door: 0.6146 0.7298 [2025-03-11 06:17:41,502 INFO hook.py line 689 2389709] ceiling light : 0.4344 0.5504 [2025-03-11 06:17:41,503 INFO hook.py line 689 2389709] trash bin : 0.2388 0.3057 [2025-03-11 06:17:41,503 INFO hook.py line 689 2389709] dumbbell : 0.7742 0.9750 [2025-03-11 06:17:41,503 INFO hook.py line 689 2389709] stair rail : 0.1407 0.1603 [2025-03-11 06:17:41,503 INFO hook.py line 689 2389709] tube : 0.1191 0.1462 [2025-03-11 06:17:41,503 INFO hook.py line 689 2389709] bathroom cabinet: 0.4756 0.6189 [2025-03-11 06:17:41,503 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 06:17:41,503 INFO hook.py line 689 2389709] closet rod : 0.5386 0.8527 [2025-03-11 06:17:41,503 INFO hook.py line 689 2389709] coffee kettle : 0.4046 0.4920 [2025-03-11 06:17:41,503 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 06:17:41,503 INFO hook.py line 689 2389709] shower head : 0.2976 0.3821 [2025-03-11 06:17:41,503 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 06:17:41,504 INFO hook.py line 689 2389709] case of water bottles: 0.1215 0.1221 [2025-03-11 06:17:41,504 INFO hook.py line 689 2389709] coat rack : 0.0010 0.0024 [2025-03-11 06:17:41,504 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 06:17:41,504 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 06:17:41,504 INFO hook.py line 689 2389709] fire alarm : 0.0423 0.2143 [2025-03-11 06:17:41,504 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 06:17:41,504 INFO hook.py line 689 2389709] calendar : 0.0095 0.0183 [2025-03-11 06:17:41,504 INFO hook.py line 689 2389709] poster : 0.0001 0.0001 [2025-03-11 06:17:41,504 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 06:17:41,504 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 06:17:41,504 INFO hook.py line 689 2389709] mattress : 0.0402 0.0404 [2025-03-11 06:17:41,505 INFO hook.py line 690 2389709] ######################################## [2025-03-11 06:17:41,505 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3264/0.4188/0.8276. [2025-03-11 06:17:41,506 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 06:17:41,525 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3273 [2025-03-11 06:17:41,525 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 06:18:11,539 INFO hook.py line 566 2389709] Train: [90/100][50/300] Data 0.002 (0.002) Batch 0.479 (0.485) Remain 00:26:15 loss: 0.4586 Lr: 1.60174e-04 [2025-03-11 06:18:36,294 INFO hook.py line 566 2389709] Train: [90/100][100/300] Data 0.003 (0.002) Batch 0.465 (0.490) Remain 00:26:08 loss: 0.5845 Lr: 1.55364e-04 [2025-03-11 06:19:00,437 INFO hook.py line 566 2389709] Train: [90/100][150/300] Data 0.002 (0.002) Batch 0.475 (0.488) Remain 00:25:36 loss: 0.3449 Lr: 1.50626e-04 [2025-03-11 06:19:25,297 INFO hook.py line 566 2389709] Train: [90/100][200/300] Data 0.002 (0.002) Batch 0.525 (0.490) Remain 00:25:19 loss: 0.3184 Lr: 1.45959e-04 [2025-03-11 06:19:49,315 INFO hook.py line 566 2389709] Train: [90/100][250/300] Data 0.002 (0.002) Batch 0.499 (0.488) Remain 00:24:48 loss: 0.4394 Lr: 1.41363e-04 [2025-03-11 06:20:13,524 INFO hook.py line 566 2389709] Train: [90/100][300/300] Data 0.002 (0.002) Batch 0.442 (0.487) Remain 00:24:22 loss: 0.5075 Lr: 1.36839e-04 [2025-03-11 06:20:13,525 INFO misc.py line 135 2389709] Train result: loss: 0.4183 [2025-03-11 06:20:13,626 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 06:21:07,579 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2939 [2025-03-11 06:21:07,672 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3216 [2025-03-11 06:21:07,714 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4146 [2025-03-11 06:21:07,765 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4647 [2025-03-11 06:21:07,806 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8342 [2025-03-11 06:21:07,867 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0533 [2025-03-11 06:21:07,919 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7176 [2025-03-11 06:21:07,958 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2312 [2025-03-11 06:21:08,016 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2947 [2025-03-11 06:21:08,052 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1027 [2025-03-11 06:21:08,103 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1777 [2025-03-11 06:21:08,142 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.4856 [2025-03-11 06:21:08,193 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.7359 [2025-03-11 06:21:08,231 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.5325 [2025-03-11 06:21:08,270 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.3630 [2025-03-11 06:21:08,327 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0679 [2025-03-11 06:21:08,370 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4825 [2025-03-11 06:21:08,408 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0275 [2025-03-11 06:21:08,457 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4957 [2025-03-11 06:21:08,493 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7855 [2025-03-11 06:21:08,532 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7035 [2025-03-11 06:21:08,577 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8582 [2025-03-11 06:21:08,609 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4223 [2025-03-11 06:21:08,658 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0671 [2025-03-11 06:21:08,699 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.6127 [2025-03-11 06:21:08,746 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4649 [2025-03-11 06:21:08,800 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9923 [2025-03-11 06:21:08,838 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8539 [2025-03-11 06:21:08,876 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1547 [2025-03-11 06:21:08,932 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.7020 [2025-03-11 06:21:08,990 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.3722 [2025-03-11 06:21:09,028 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6233 [2025-03-11 06:21:09,085 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7977 [2025-03-11 06:21:09,130 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3374 [2025-03-11 06:21:09,168 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2894 [2025-03-11 06:21:09,209 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7476 [2025-03-11 06:21:09,254 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2538 [2025-03-11 06:21:09,284 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9439 [2025-03-11 06:21:09,351 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.1056 [2025-03-11 06:21:09,401 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3949 [2025-03-11 06:21:09,446 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4239 [2025-03-11 06:21:09,490 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4445 [2025-03-11 06:21:09,533 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2475 [2025-03-11 06:21:09,592 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8594 [2025-03-11 06:21:09,631 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7313 [2025-03-11 06:21:09,683 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2064 [2025-03-11 06:21:09,721 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8006 [2025-03-11 06:21:09,754 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0025 [2025-03-11 06:21:09,790 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.8219 [2025-03-11 06:21:09,827 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5191 [2025-03-11 06:21:09,856 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2667 [2025-03-11 06:21:09,891 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6516 [2025-03-11 06:21:09,919 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4492 [2025-03-11 06:21:09,958 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.1016 [2025-03-11 06:21:10,000 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4668 [2025-03-11 06:21:10,041 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8685 [2025-03-11 06:21:10,079 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.2198 [2025-03-11 06:21:10,108 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.8025 [2025-03-11 06:21:10,147 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8921 [2025-03-11 06:21:10,182 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4898 [2025-03-11 06:21:10,206 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8082 [2025-03-11 06:21:10,240 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0384 [2025-03-11 06:21:10,277 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1968 [2025-03-11 06:21:10,335 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9933 [2025-03-11 06:21:10,363 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.5098 [2025-03-11 06:21:10,410 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.1195 [2025-03-11 06:21:10,449 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9073 [2025-03-11 06:21:10,488 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1150 [2025-03-11 06:21:10,524 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3875 [2025-03-11 06:21:10,589 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.1061 [2025-03-11 06:21:10,633 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8608 [2025-03-11 06:21:10,689 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9077 [2025-03-11 06:21:10,743 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6726 [2025-03-11 06:21:10,790 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.8426 [2025-03-11 06:21:10,845 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5677 [2025-03-11 06:21:10,877 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0308 [2025-03-11 06:21:10,937 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5493 [2025-03-11 06:21:10,963 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2371 [2025-03-11 06:21:12,307 INFO hook.py line 674 2389709] ######################################## [2025-03-11 06:21:12,307 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 06:21:12,307 INFO hook.py line 680 2389709] ######################################## [2025-03-11 06:21:12,307 INFO hook.py line 689 2389709] wall : 0.8013 0.9299 [2025-03-11 06:21:12,308 INFO hook.py line 689 2389709] chair : 0.7332 0.8576 [2025-03-11 06:21:12,308 INFO hook.py line 689 2389709] floor : 0.9603 0.9830 [2025-03-11 06:21:12,308 INFO hook.py line 689 2389709] table : 0.6397 0.7761 [2025-03-11 06:21:12,308 INFO hook.py line 689 2389709] door : 0.6756 0.8083 [2025-03-11 06:21:12,308 INFO hook.py line 689 2389709] couch : 0.7902 0.9183 [2025-03-11 06:21:12,308 INFO hook.py line 689 2389709] cabinet : 0.3855 0.6048 [2025-03-11 06:21:12,308 INFO hook.py line 689 2389709] shelf : 0.3972 0.5427 [2025-03-11 06:21:12,308 INFO hook.py line 689 2389709] desk : 0.5943 0.8026 [2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] office chair : 0.1957 0.3055 [2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] bed : 0.8000 0.8824 [2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] pillow : 0.5714 0.8004 [2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] sink : 0.6880 0.7894 [2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] picture : 0.3860 0.5139 [2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] window : 0.6018 0.7710 [2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] toilet : 0.9498 0.9704 [2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] bookshelf : 0.4649 0.6394 [2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] monitor : 0.8534 0.9095 [2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] curtain : 0.7262 0.8598 [2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] book : 0.4541 0.7074 [2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] armchair : 0.5636 0.7367 [2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] coffee table : 0.6615 0.7954 [2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] box : 0.3284 0.4332 [2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] refrigerator : 0.6853 0.7208 [2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] lamp : 0.6796 0.8302 [2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] kitchen cabinet: 0.6760 0.7753 [2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] towel : 0.5152 0.6797 [2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] clothes : 0.2108 0.4033 [2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] tv : 0.8884 0.9339 [2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] nightstand : 0.7063 0.8895 [2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] counter : 0.2956 0.4573 [2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] dresser : 0.4248 0.5546 [2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] stool : 0.5244 0.6932 [2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] plant : 0.7519 0.8850 [2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] ceiling : 0.9315 0.9638 [2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] bathtub : 0.8803 0.9207 [2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] end table : 0.2223 0.3273 [2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] dining table : 0.0227 0.0330 [2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] keyboard : 0.4351 0.5720 [2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] bag : 0.2337 0.3166 [2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] backpack : 0.6192 0.7137 [2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] toilet paper : 0.5031 0.6163 [2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] printer : 0.4773 0.6060 [2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] tv stand : 0.3090 0.4078 [2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] whiteboard : 0.5249 0.7245 [2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] blanket : 0.0131 0.0191 [2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] shower curtain : 0.6899 0.7575 [2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] trash can : 0.6384 0.8581 [2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] closet : 0.1097 0.1656 [2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] stairs : 0.4693 0.6841 [2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] microwave : 0.5762 0.7556 [2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] stove : 0.6371 0.8450 [2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] shoe : 0.5212 0.6580 [2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] computer tower : 0.5549 0.7974 [2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] bottle : 0.1130 0.2166 [2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] ottoman : 0.3741 0.4003 [2025-03-11 06:21:12,312 INFO hook.py line 689 2389709] bench : 0.4148 0.4578 [2025-03-11 06:21:12,312 INFO hook.py line 689 2389709] board : 0.2159 0.3285 [2025-03-11 06:21:12,312 INFO hook.py line 689 2389709] washing machine: 0.8546 0.9413 [2025-03-11 06:21:12,312 INFO hook.py line 689 2389709] mirror : 0.3879 0.4834 [2025-03-11 06:21:12,312 INFO hook.py line 689 2389709] copier : 0.8724 0.9441 [2025-03-11 06:21:12,312 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 06:21:12,312 INFO hook.py line 689 2389709] sofa chair : 0.1820 0.2862 [2025-03-11 06:21:12,312 INFO hook.py line 689 2389709] file cabinet : 0.4506 0.5615 [2025-03-11 06:21:12,312 INFO hook.py line 689 2389709] fan : 0.3900 0.4436 [2025-03-11 06:21:12,312 INFO hook.py line 689 2389709] laptop : 0.5399 0.7419 [2025-03-11 06:21:12,312 INFO hook.py line 689 2389709] shower : 0.2432 0.2574 [2025-03-11 06:21:12,312 INFO hook.py line 689 2389709] paper : 0.0794 0.1115 [2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] person : 0.2943 0.5920 [2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] paper towel dispenser: 0.5576 0.8607 [2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] oven : 0.1724 0.1985 [2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] blinds : 0.0007 0.0008 [2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] blackboard : 0.6059 0.6876 [2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] piano : 0.4412 0.5716 [2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] suitcase : 0.6126 0.7863 [2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] rail : 0.0470 0.0506 [2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] radiator : 0.6564 0.7105 [2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] recycling bin : 0.4890 0.6271 [2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] container : 0.0028 0.0050 [2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] wardrobe : 0.1385 0.1881 [2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] soap dispenser : 0.8545 0.9075 [2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] telephone : 0.2872 0.3641 [2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] bucket : 0.3612 0.5204 [2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] clock : 0.2558 0.2985 [2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] light : 0.0526 0.0591 [2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] laundry basket : 0.0374 0.0415 [2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] pipe : 0.0457 0.0754 [2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] clothes dryer : 0.6677 0.6843 [2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] guitar : 0.6820 0.8707 [2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] toilet paper holder: 0.0927 0.2286 [2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] column : 0.0230 0.0257 [2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] ladder : 0.5216 0.6138 [2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] bathroom stall : 0.4221 0.4731 [2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] shower wall : 0.4339 0.5594 [2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] cup : 0.1689 0.3051 [2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] jacket : 0.2160 0.2846 [2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] storage bin : 0.0037 0.0047 [2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] coffee maker : 0.8209 0.9854 [2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] dishwasher : 0.2675 0.3821 [2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] paper towel roll: 0.3422 0.3934 [2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] mat : 0.2374 0.2519 [2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] windowsill : 0.0872 0.0952 [2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] bar : 0.1814 0.2838 [2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] toaster : 0.4299 0.8390 [2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] bulletin board : 0.2263 0.3730 [2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] ironing board : 0.2098 0.2473 [2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] fireplace : 0.6401 0.6685 [2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] soap dish : 0.3710 0.5118 [2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] kitchen counter: 0.5494 0.6718 [2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] doorframe : 0.4314 0.6564 [2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4613 0.5607 [2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] mini fridge : 0.2773 0.2924 [2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] fire extinguisher: 0.2132 0.2398 [2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] ball : 0.5926 0.7873 [2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] shower curtain rod: 0.4242 0.9186 [2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] water cooler : 0.7831 0.8353 [2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] paper cutter : 0.2786 0.3275 [2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] tray : 0.0805 0.1086 [2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] shower door : 0.2315 0.2843 [2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] ledge : 0.0314 0.0460 [2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] mouse : 0.1253 0.5154 [2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7540 0.8259 [2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] cart : 0.1866 0.2182 [2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] scale : 0.4699 0.9398 [2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] tissue box : 0.2265 0.2725 [2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] light switch : 0.0403 0.0823 [2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] power outlet : 0.2973 0.3651 [2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] decoration : 0.2359 0.3586 [2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] projector : 0.0888 1.0000 [2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] closet door : 0.0721 0.0780 [2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] vacuum cleaner : 0.8614 0.9837 [2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] plunger : 0.6016 0.9871 [2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] headphones : 0.0203 0.0275 [2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] dish rack : 0.8057 0.9613 [2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] broom : 0.1017 0.1279 [2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] range hood : 0.7441 0.9076 [2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] dustpan : 0.0746 0.1880 [2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] handicap bar : 0.0062 0.0776 [2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] vent : 0.1997 0.2278 [2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] shower floor : 0.8668 0.9956 [2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] mailbox : 0.4695 0.4801 [2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] bowl : 0.1454 0.1707 [2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] paper bag : 0.0841 0.1035 [2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] divider : 0.4767 0.5503 [2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] bathroom counter: 0.2517 0.2864 [2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] object : 0.0441 0.0732 [2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] bathroom vanity: 0.5229 0.8311 [2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] closet wall : 0.0221 0.0300 [2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] laundry hamper : 0.0060 0.0064 [2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] bathroom stall door: 0.5758 0.6905 [2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] ceiling light : 0.4273 0.5359 [2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] trash bin : 0.2668 0.3471 [2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] dumbbell : 0.7590 0.9752 [2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] stair rail : 0.1250 0.1416 [2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] tube : 0.1022 0.1280 [2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] bathroom cabinet: 0.4948 0.5746 [2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] closet rod : 0.5289 0.8233 [2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] coffee kettle : 0.4803 0.5643 [2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] shower head : 0.3339 0.4121 [2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] case of water bottles: 0.1107 0.1107 [2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] coat rack : 0.0364 0.1050 [2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 06:21:12,320 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 06:21:12,320 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 06:21:12,320 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 06:21:12,320 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 06:21:12,320 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 06:21:12,320 INFO hook.py line 689 2389709] mattress : 0.0241 0.0242 [2025-03-11 06:21:12,320 INFO hook.py line 690 2389709] ######################################## [2025-03-11 06:21:12,320 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3272/0.4177/0.8276. [2025-03-11 06:21:12,321 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 06:21:12,338 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3273 [2025-03-11 06:21:12,339 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 06:21:42,785 INFO hook.py line 566 2389709] Train: [91/100][50/300] Data 0.002 (0.002) Batch 0.575 (0.493) Remain 00:24:14 loss: 0.4342 Lr: 1.32387e-04 [2025-03-11 06:22:07,132 INFO hook.py line 566 2389709] Train: [91/100][100/300] Data 0.002 (0.002) Batch 0.468 (0.490) Remain 00:23:40 loss: 0.4912 Lr: 1.28007e-04 [2025-03-11 06:22:31,182 INFO hook.py line 566 2389709] Train: [91/100][150/300] Data 0.002 (0.002) Batch 0.494 (0.487) Remain 00:23:07 loss: 0.3573 Lr: 1.23699e-04 [2025-03-11 06:22:55,539 INFO hook.py line 566 2389709] Train: [91/100][200/300] Data 0.002 (0.002) Batch 0.499 (0.487) Remain 00:22:43 loss: 0.4812 Lr: 1.19464e-04 [2025-03-11 06:23:20,424 INFO hook.py line 566 2389709] Train: [91/100][250/300] Data 0.002 (0.002) Batch 0.499 (0.489) Remain 00:22:25 loss: 0.6113 Lr: 1.15300e-04 [2025-03-11 06:23:44,433 INFO hook.py line 566 2389709] Train: [91/100][300/300] Data 0.001 (0.002) Batch 0.410 (0.488) Remain 00:21:56 loss: 0.5085 Lr: 1.11209e-04 [2025-03-11 06:23:44,434 INFO misc.py line 135 2389709] Train result: loss: 0.4106 [2025-03-11 06:23:44,531 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 06:24:36,546 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2835 [2025-03-11 06:24:36,599 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.1835 [2025-03-11 06:24:36,642 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4210 [2025-03-11 06:24:36,704 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4444 [2025-03-11 06:24:36,743 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8361 [2025-03-11 06:24:36,807 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0888 [2025-03-11 06:24:36,870 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8100 [2025-03-11 06:24:36,909 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2385 [2025-03-11 06:24:36,954 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2476 [2025-03-11 06:24:36,993 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1324 [2025-03-11 06:24:37,041 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1658 [2025-03-11 06:24:37,087 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.3997 [2025-03-11 06:24:37,136 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.2264 [2025-03-11 06:24:37,180 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.5228 [2025-03-11 06:24:37,217 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2264 [2025-03-11 06:24:37,269 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0705 [2025-03-11 06:24:37,309 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5908 [2025-03-11 06:24:37,344 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0564 [2025-03-11 06:24:37,390 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5079 [2025-03-11 06:24:37,427 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7248 [2025-03-11 06:24:37,462 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6707 [2025-03-11 06:24:37,515 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9200 [2025-03-11 06:24:37,555 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5339 [2025-03-11 06:24:37,606 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1294 [2025-03-11 06:24:37,647 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.6046 [2025-03-11 06:24:37,692 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5548 [2025-03-11 06:24:37,746 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0062 [2025-03-11 06:24:37,788 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7879 [2025-03-11 06:24:37,818 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0970 [2025-03-11 06:24:37,876 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.6073 [2025-03-11 06:24:37,934 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4369 [2025-03-11 06:24:37,968 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6061 [2025-03-11 06:24:38,026 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7945 [2025-03-11 06:24:38,067 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3385 [2025-03-11 06:24:38,105 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2918 [2025-03-11 06:24:38,144 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.6438 [2025-03-11 06:24:38,196 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2314 [2025-03-11 06:24:38,228 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9945 [2025-03-11 06:24:38,296 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.0853 [2025-03-11 06:24:38,349 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4285 [2025-03-11 06:24:38,399 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3480 [2025-03-11 06:24:38,428 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4320 [2025-03-11 06:24:38,467 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1532 [2025-03-11 06:24:38,528 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8952 [2025-03-11 06:24:38,569 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.5498 [2025-03-11 06:24:38,622 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2141 [2025-03-11 06:24:38,663 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8588 [2025-03-11 06:24:38,708 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0483 [2025-03-11 06:24:38,744 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.8865 [2025-03-11 06:24:38,782 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4959 [2025-03-11 06:24:38,813 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2327 [2025-03-11 06:24:38,853 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7673 [2025-03-11 06:24:38,883 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4531 [2025-03-11 06:24:38,924 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.0555 [2025-03-11 06:24:38,967 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4692 [2025-03-11 06:24:39,011 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0795 [2025-03-11 06:24:39,050 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.2381 [2025-03-11 06:24:39,080 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7681 [2025-03-11 06:24:39,118 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9000 [2025-03-11 06:24:39,154 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4913 [2025-03-11 06:24:39,181 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8059 [2025-03-11 06:24:39,216 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0680 [2025-03-11 06:24:39,254 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1756 [2025-03-11 06:24:39,313 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9492 [2025-03-11 06:24:39,341 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4911 [2025-03-11 06:24:39,390 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.2742 [2025-03-11 06:24:39,429 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8914 [2025-03-11 06:24:39,467 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1011 [2025-03-11 06:24:39,503 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3977 [2025-03-11 06:24:39,569 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.1036 [2025-03-11 06:24:39,617 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.9217 [2025-03-11 06:24:39,672 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9657 [2025-03-11 06:24:39,726 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7551 [2025-03-11 06:24:39,775 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.6748 [2025-03-11 06:24:39,830 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6385 [2025-03-11 06:24:39,862 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9510 [2025-03-11 06:24:39,921 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4834 [2025-03-11 06:24:39,947 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3347 [2025-03-11 06:24:41,310 INFO hook.py line 674 2389709] ######################################## [2025-03-11 06:24:41,311 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 06:24:41,311 INFO hook.py line 680 2389709] ######################################## [2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] wall : 0.8013 0.9265 [2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] chair : 0.7244 0.8595 [2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] floor : 0.9601 0.9827 [2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] table : 0.6464 0.7836 [2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] door : 0.6783 0.8040 [2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] couch : 0.7906 0.9245 [2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] cabinet : 0.3937 0.5941 [2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] shelf : 0.4043 0.5462 [2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] desk : 0.5943 0.8013 [2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] office chair : 0.1826 0.2844 [2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] bed : 0.8048 0.8903 [2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] pillow : 0.5814 0.7886 [2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] sink : 0.6853 0.7976 [2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] picture : 0.3895 0.5217 [2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] window : 0.6114 0.7836 [2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] toilet : 0.9497 0.9691 [2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] bookshelf : 0.4671 0.6376 [2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] monitor : 0.8619 0.9197 [2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] curtain : 0.7190 0.8616 [2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] book : 0.4529 0.7259 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] armchair : 0.5624 0.7519 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] coffee table : 0.6004 0.7462 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] box : 0.3250 0.4312 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] refrigerator : 0.6773 0.7492 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] lamp : 0.7001 0.8211 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] kitchen cabinet: 0.6874 0.7883 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] towel : 0.5469 0.6920 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] clothes : 0.2086 0.4240 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] tv : 0.8898 0.9383 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] nightstand : 0.6779 0.8751 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] counter : 0.2683 0.3938 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] dresser : 0.4424 0.6132 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] stool : 0.5799 0.7438 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] plant : 0.7599 0.9002 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] ceiling : 0.9318 0.9674 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] bathtub : 0.8856 0.9186 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] end table : 0.2609 0.3807 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] dining table : 0.0242 0.0287 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] keyboard : 0.4230 0.5619 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] bag : 0.2044 0.2820 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] backpack : 0.6288 0.7194 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] toilet paper : 0.4950 0.6142 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] printer : 0.4710 0.5834 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] tv stand : 0.3250 0.3953 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] whiteboard : 0.5072 0.6767 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] blanket : 0.0548 0.0828 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] shower curtain : 0.6942 0.7674 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] trash can : 0.6240 0.8580 [2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] closet : 0.1130 0.1638 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] stairs : 0.4724 0.6965 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] microwave : 0.6164 0.7645 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] stove : 0.6294 0.8393 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] shoe : 0.5302 0.6931 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] computer tower : 0.5420 0.8012 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] bottle : 0.1010 0.1996 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] bin : 0.0006 0.0010 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] ottoman : 0.3354 0.3747 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] bench : 0.3955 0.4670 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] board : 0.2058 0.3346 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] washing machine: 0.8448 0.9488 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] mirror : 0.4012 0.4992 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] copier : 0.8545 0.9474 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] sofa chair : 0.1466 0.2039 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] file cabinet : 0.4519 0.5728 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] fan : 0.3639 0.4239 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] laptop : 0.5321 0.7144 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] shower : 0.2919 0.3201 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] paper : 0.0786 0.1097 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] person : 0.3521 0.6022 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] paper towel dispenser: 0.5615 0.8425 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] oven : 0.1315 0.1591 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] blinds : 0.0002 0.0002 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] blackboard : 0.5938 0.6710 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] piano : 0.4553 0.5811 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] suitcase : 0.6416 0.7999 [2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] rail : 0.0414 0.0443 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] radiator : 0.6790 0.7382 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] recycling bin : 0.4864 0.6370 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] container : 0.0031 0.0064 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] wardrobe : 0.1812 0.2595 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] soap dispenser : 0.8289 0.9136 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] telephone : 0.2955 0.3975 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] bucket : 0.3484 0.5058 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] clock : 0.2614 0.3084 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] light : 0.0339 0.0390 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] laundry basket : 0.0538 0.0607 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] pipe : 0.0363 0.0571 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] clothes dryer : 0.6135 0.6252 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] guitar : 0.7744 0.8350 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] toilet paper holder: 0.0603 0.1896 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] ladder : 0.5352 0.5892 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] bathroom stall : 0.4281 0.5005 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] shower wall : 0.4450 0.5766 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] cup : 0.1598 0.2981 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] jacket : 0.1874 0.2338 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] storage bin : 0.0019 0.0024 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] coffee maker : 0.7501 0.9898 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] dishwasher : 0.2722 0.3743 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] paper towel roll: 0.3326 0.3914 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] mat : 0.1768 0.1880 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] windowsill : 0.1040 0.1104 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] bar : 0.1900 0.2967 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] toaster : 0.4169 0.8816 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] bulletin board : 0.2411 0.3998 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] ironing board : 0.1909 0.2149 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] fireplace : 0.5968 0.6226 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] soap dish : 0.3691 0.5098 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] kitchen counter: 0.5679 0.7252 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] doorframe : 0.4358 0.6675 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4680 0.6102 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] mini fridge : 0.3243 0.3365 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] fire extinguisher: 0.2525 0.2992 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] ball : 0.7190 0.8739 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] shower curtain rod: 0.4409 0.9138 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] water cooler : 0.7138 0.8557 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] paper cutter : 0.2822 0.3264 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] tray : 0.0871 0.1181 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] shower door : 0.2510 0.2873 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] ledge : 0.0395 0.0580 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] mouse : 0.1658 0.5658 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7487 0.8338 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] cart : 0.1425 0.1677 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] scale : 0.4117 0.9442 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] tissue box : 0.2390 0.3058 [2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] light switch : 0.0237 0.0586 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] power outlet : 0.2795 0.3825 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] decoration : 0.2105 0.3032 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] projector : 0.0734 1.0000 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] closet door : 0.0446 0.0492 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] vacuum cleaner : 0.8687 0.9836 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] plunger : 0.5237 0.9778 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] headphones : 0.0158 0.0259 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] dish rack : 0.8363 0.9656 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] broom : 0.1041 0.1421 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] range hood : 0.7423 0.9173 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] dustpan : 0.0825 0.1670 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] handicap bar : 0.0178 0.2378 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] vent : 0.2327 0.2631 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] shower floor : 0.8513 0.9961 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] mailbox : 0.4830 0.5032 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] bowl : 0.1018 0.1349 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] paper bag : 0.0788 0.0987 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] divider : 0.4059 0.4349 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] bathroom counter: 0.2599 0.2984 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] object : 0.0419 0.0673 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] bathroom vanity: 0.5397 0.8192 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] closet wall : 0.0255 0.0350 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] laundry hamper : 0.0548 0.0601 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] bathroom stall door: 0.6027 0.7722 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] ceiling light : 0.4321 0.5333 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] trash bin : 0.2538 0.3444 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] dumbbell : 0.6583 0.9782 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] stair rail : 0.1309 0.1501 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] tube : 0.0912 0.1223 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] bathroom cabinet: 0.5214 0.6833 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] closet rod : 0.5074 0.8664 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] coffee kettle : 0.4991 0.5671 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] shower head : 0.3230 0.3766 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] case of water bottles: 0.1531 0.1579 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] coat rack : 0.0069 0.0167 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] mattress : 0.0270 0.0271 [2025-03-11 06:24:41,318 INFO hook.py line 690 2389709] ######################################## [2025-03-11 06:24:41,318 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3264/0.4202/0.8279. [2025-03-11 06:24:41,318 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 06:24:41,338 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3273 [2025-03-11 06:24:41,338 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 06:25:12,044 INFO hook.py line 566 2389709] Train: [92/100][50/300] Data 0.002 (0.002) Batch 0.494 (0.498) Remain 00:22:00 loss: 0.6600 Lr: 1.07191e-04 [2025-03-11 06:25:36,151 INFO hook.py line 566 2389709] Train: [92/100][100/300] Data 0.003 (0.002) Batch 0.432 (0.490) Remain 00:21:13 loss: 0.5744 Lr: 1.03245e-04 [2025-03-11 06:26:00,519 INFO hook.py line 566 2389709] Train: [92/100][150/300] Data 0.002 (0.002) Batch 0.484 (0.489) Remain 00:20:47 loss: 0.4899 Lr: 9.93718e-05 [2025-03-11 06:26:25,031 INFO hook.py line 566 2389709] Train: [92/100][200/300] Data 0.002 (0.002) Batch 0.509 (0.489) Remain 00:20:23 loss: 0.4153 Lr: 9.55718e-05 [2025-03-11 06:26:49,834 INFO hook.py line 566 2389709] Train: [92/100][250/300] Data 0.002 (0.002) Batch 0.397 (0.491) Remain 00:20:02 loss: 0.5239 Lr: 9.18448e-05 [2025-03-11 06:27:13,900 INFO hook.py line 566 2389709] Train: [92/100][300/300] Data 0.001 (0.002) Batch 0.487 (0.489) Remain 00:19:33 loss: 0.4438 Lr: 8.81910e-05 [2025-03-11 06:27:13,901 INFO misc.py line 135 2389709] Train result: loss: 0.4116 [2025-03-11 06:27:14,007 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 06:28:02,478 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2918 [2025-03-11 06:28:02,523 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2970 [2025-03-11 06:28:02,561 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4084 [2025-03-11 06:28:02,611 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4455 [2025-03-11 06:28:02,648 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8560 [2025-03-11 06:28:02,708 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0706 [2025-03-11 06:28:02,776 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7714 [2025-03-11 06:28:02,817 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2562 [2025-03-11 06:28:02,866 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2301 [2025-03-11 06:28:02,904 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2412 [2025-03-11 06:28:02,952 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1234 [2025-03-11 06:28:02,989 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.4771 [2025-03-11 06:28:03,039 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.0471 [2025-03-11 06:28:03,080 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.5646 [2025-03-11 06:28:03,134 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2578 [2025-03-11 06:28:03,183 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0709 [2025-03-11 06:28:03,226 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5369 [2025-03-11 06:28:03,263 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0661 [2025-03-11 06:28:03,311 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4284 [2025-03-11 06:28:03,345 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7272 [2025-03-11 06:28:03,384 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7010 [2025-03-11 06:28:03,428 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.0094 [2025-03-11 06:28:03,461 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5292 [2025-03-11 06:28:03,514 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0516 [2025-03-11 06:28:03,555 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.3130 [2025-03-11 06:28:03,602 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5382 [2025-03-11 06:28:03,656 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0338 [2025-03-11 06:28:03,693 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8088 [2025-03-11 06:28:03,733 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1256 [2025-03-11 06:28:03,789 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5909 [2025-03-11 06:28:03,857 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4392 [2025-03-11 06:28:03,898 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6535 [2025-03-11 06:28:03,955 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7415 [2025-03-11 06:28:04,000 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.2242 [2025-03-11 06:28:04,042 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2850 [2025-03-11 06:28:04,084 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7278 [2025-03-11 06:28:04,123 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2284 [2025-03-11 06:28:04,152 INFO hook.py line 748 2389709] Test: [38/78] Loss 1.0031 [2025-03-11 06:28:04,219 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.2558 [2025-03-11 06:28:04,266 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3980 [2025-03-11 06:28:04,313 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3423 [2025-03-11 06:28:04,344 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4311 [2025-03-11 06:28:04,381 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1526 [2025-03-11 06:28:04,441 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8490 [2025-03-11 06:28:04,490 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7962 [2025-03-11 06:28:04,536 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2130 [2025-03-11 06:28:04,575 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7834 [2025-03-11 06:28:04,608 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0475 [2025-03-11 06:28:04,640 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.7931 [2025-03-11 06:28:04,672 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4667 [2025-03-11 06:28:04,702 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.1546 [2025-03-11 06:28:04,737 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7232 [2025-03-11 06:28:04,764 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4899 [2025-03-11 06:28:04,800 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.3172 [2025-03-11 06:28:04,838 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4836 [2025-03-11 06:28:04,879 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0610 [2025-03-11 06:28:04,912 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.3753 [2025-03-11 06:28:04,938 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7871 [2025-03-11 06:28:04,976 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9195 [2025-03-11 06:28:05,013 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4813 [2025-03-11 06:28:05,037 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8021 [2025-03-11 06:28:05,073 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0725 [2025-03-11 06:28:05,110 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1243 [2025-03-11 06:28:05,168 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9850 [2025-03-11 06:28:05,196 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3949 [2025-03-11 06:28:05,240 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.2245 [2025-03-11 06:28:05,279 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8212 [2025-03-11 06:28:05,316 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1451 [2025-03-11 06:28:05,347 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3853 [2025-03-11 06:28:05,408 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.1819 [2025-03-11 06:28:05,451 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8025 [2025-03-11 06:28:05,507 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9395 [2025-03-11 06:28:05,560 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7304 [2025-03-11 06:28:05,604 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.7433 [2025-03-11 06:28:05,655 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6318 [2025-03-11 06:28:05,684 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9566 [2025-03-11 06:28:05,743 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5302 [2025-03-11 06:28:05,769 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2813 [2025-03-11 06:28:06,986 INFO hook.py line 674 2389709] ######################################## [2025-03-11 06:28:06,987 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 06:28:06,987 INFO hook.py line 680 2389709] ######################################## [2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] wall : 0.7993 0.9268 [2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] chair : 0.7317 0.8608 [2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] floor : 0.9602 0.9830 [2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] table : 0.6447 0.7808 [2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] door : 0.6821 0.8065 [2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] couch : 0.7939 0.9203 [2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] cabinet : 0.3842 0.5961 [2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] shelf : 0.4076 0.5652 [2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] desk : 0.5847 0.7905 [2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] office chair : 0.1890 0.2917 [2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] bed : 0.7967 0.8810 [2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] pillow : 0.5740 0.8005 [2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] sink : 0.6841 0.7885 [2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] picture : 0.3901 0.5375 [2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] window : 0.6040 0.7813 [2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] toilet : 0.9489 0.9709 [2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] bookshelf : 0.4651 0.6227 [2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] monitor : 0.8652 0.9272 [2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] curtain : 0.7314 0.8558 [2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] book : 0.4500 0.7217 [2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] armchair : 0.5725 0.7764 [2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] coffee table : 0.6565 0.7842 [2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] box : 0.3300 0.4360 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] refrigerator : 0.6877 0.7312 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] lamp : 0.6914 0.8258 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] kitchen cabinet: 0.6717 0.7649 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] towel : 0.4996 0.6528 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] clothes : 0.2085 0.4106 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] tv : 0.8905 0.9282 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] nightstand : 0.6898 0.8843 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] counter : 0.3214 0.5096 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] dresser : 0.4502 0.5926 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] stool : 0.5496 0.6964 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] plant : 0.7684 0.8886 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] ceiling : 0.9332 0.9665 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] bathtub : 0.8834 0.9151 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] end table : 0.2865 0.4168 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] dining table : 0.0314 0.0475 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] keyboard : 0.4501 0.6013 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] bag : 0.2012 0.2648 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] backpack : 0.6501 0.7154 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] toilet paper : 0.5028 0.6152 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] printer : 0.4766 0.5784 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] tv stand : 0.3090 0.3943 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] whiteboard : 0.5233 0.7175 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] blanket : 0.0308 0.0476 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] shower curtain : 0.7073 0.7884 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] trash can : 0.6257 0.8481 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] closet : 0.1185 0.1621 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] stairs : 0.4672 0.6981 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] microwave : 0.5609 0.7544 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] stove : 0.6519 0.8304 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] shoe : 0.5348 0.7016 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] computer tower : 0.5540 0.7932 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] bottle : 0.1144 0.2396 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] bin : 0.0003 0.0005 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] ottoman : 0.3820 0.4067 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] bench : 0.4560 0.5127 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] board : 0.1991 0.3084 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] washing machine: 0.8476 0.9486 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] mirror : 0.4003 0.4928 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] copier : 0.8603 0.9540 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] sofa chair : 0.1146 0.1574 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] file cabinet : 0.4760 0.5726 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] fan : 0.3399 0.4420 [2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] laptop : 0.5492 0.7242 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] shower : 0.2798 0.2910 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] paper : 0.0545 0.0784 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] person : 0.3038 0.5840 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] paper towel dispenser: 0.5710 0.8360 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] oven : 0.1890 0.2220 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] blackboard : 0.5865 0.6654 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] piano : 0.4474 0.6043 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] suitcase : 0.6258 0.7630 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] rail : 0.0507 0.0555 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] radiator : 0.6526 0.7108 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] recycling bin : 0.4756 0.6516 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] container : 0.0011 0.0021 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] wardrobe : 0.1172 0.1609 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] soap dispenser : 0.8777 0.9106 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] telephone : 0.3021 0.4262 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] bucket : 0.3332 0.4516 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] clock : 0.2377 0.2756 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] light : 0.0559 0.0626 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] laundry basket : 0.0429 0.0468 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] pipe : 0.0401 0.0641 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] clothes dryer : 0.6197 0.6270 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] guitar : 0.6845 0.7519 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] toilet paper holder: 0.0456 0.1255 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] ladder : 0.5572 0.6120 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] bathroom stall : 0.4249 0.4990 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] shower wall : 0.4389 0.5715 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] cup : 0.1865 0.3341 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] jacket : 0.1860 0.2293 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] storage bin : 0.0068 0.0088 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] coffee maker : 0.7976 0.9520 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] dishwasher : 0.2662 0.3677 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] paper towel roll: 0.3194 0.4017 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] mat : 0.1641 0.1742 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] windowsill : 0.1242 0.1390 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] bar : 0.1980 0.3331 [2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] toaster : 0.4443 0.8208 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] bulletin board : 0.2744 0.4849 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] ironing board : 0.1982 0.2360 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] fireplace : 0.6128 0.6368 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] soap dish : 0.3636 0.5020 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] kitchen counter: 0.5420 0.6607 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] doorframe : 0.4335 0.6466 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4988 0.6343 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] mini fridge : 0.2458 0.2507 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] fire extinguisher: 0.2259 0.2650 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] ball : 0.5640 0.8319 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] shower curtain rod: 0.3849 0.9221 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] water cooler : 0.7441 0.8028 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] paper cutter : 0.2835 0.3234 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] tray : 0.0876 0.1139 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] shower door : 0.2450 0.2946 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] ledge : 0.0452 0.0666 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] mouse : 0.0922 0.5837 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7425 0.8197 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] cart : 0.1679 0.1951 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] scale : 0.5062 0.9494 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] tissue box : 0.2511 0.3127 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] light switch : 0.0261 0.0489 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] power outlet : 0.2472 0.3088 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] decoration : 0.2983 0.5055 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] projector : 0.0871 1.0000 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] closet door : 0.0770 0.0830 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] vacuum cleaner : 0.8486 0.9849 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] plunger : 0.5471 0.9869 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] headphones : 0.0193 0.0260 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] dish rack : 0.8624 0.9737 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] broom : 0.0866 0.1103 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] range hood : 0.7393 0.9068 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] dustpan : 0.1102 0.2309 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] handicap bar : 0.0219 0.2807 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] vent : 0.1519 0.1750 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] shower floor : 0.8705 0.9956 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] mailbox : 0.4744 0.4893 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] bowl : 0.1353 0.1540 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] paper bag : 0.1026 0.1302 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] divider : 0.4009 0.4378 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] bathroom counter: 0.2640 0.3068 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] object : 0.0469 0.0804 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] bathroom vanity: 0.5158 0.8243 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] closet wall : 0.0223 0.0298 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] laundry hamper : 0.0274 0.0294 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] bathroom stall door: 0.6011 0.6948 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] ceiling light : 0.4360 0.5210 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] trash bin : 0.2620 0.3442 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] dumbbell : 0.7229 0.9781 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] stair rail : 0.1325 0.1502 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] tube : 0.0623 0.0795 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] bathroom cabinet: 0.5147 0.6744 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] closet rod : 0.5573 0.8569 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] coffee kettle : 0.4139 0.4438 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] shower head : 0.3330 0.4223 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] case of water bottles: 0.1141 0.1142 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] coat rack : 0.0284 0.0913 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] poster : 0.0004 0.0005 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] mattress : 0.0364 0.0367 [2025-03-11 06:28:06,991 INFO hook.py line 690 2389709] ######################################## [2025-03-11 06:28:06,991 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3266/0.4188/0.8275. [2025-03-11 06:28:06,992 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 06:28:06,994 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3273 [2025-03-11 06:28:06,995 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 06:28:36,938 INFO hook.py line 566 2389709] Train: [93/100][50/300] Data 0.002 (0.002) Batch 0.447 (0.490) Remain 00:19:11 loss: 0.4451 Lr: 8.46105e-05 [2025-03-11 06:29:01,551 INFO hook.py line 566 2389709] Train: [93/100][100/300] Data 0.002 (0.002) Batch 0.492 (0.491) Remain 00:18:49 loss: 0.4521 Lr: 8.11033e-05 [2025-03-11 06:29:26,160 INFO hook.py line 566 2389709] Train: [93/100][150/300] Data 0.002 (0.002) Batch 0.510 (0.492) Remain 00:18:25 loss: 0.3999 Lr: 7.76696e-05 [2025-03-11 06:29:50,445 INFO hook.py line 566 2389709] Train: [93/100][200/300] Data 0.002 (0.002) Batch 0.484 (0.490) Remain 00:17:58 loss: 0.2470 Lr: 7.43095e-05 [2025-03-11 06:30:15,512 INFO hook.py line 566 2389709] Train: [93/100][250/300] Data 0.002 (0.002) Batch 0.476 (0.492) Remain 00:17:38 loss: 0.3405 Lr: 7.10231e-05 [2025-03-11 06:30:40,037 INFO hook.py line 566 2389709] Train: [93/100][300/300] Data 0.001 (0.002) Batch 0.441 (0.492) Remain 00:17:13 loss: 0.3049 Lr: 6.78105e-05 [2025-03-11 06:30:40,038 INFO misc.py line 135 2389709] Train result: loss: 0.4116 [2025-03-11 06:30:40,135 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 06:31:33,014 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2930 [2025-03-11 06:31:33,120 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3755 [2025-03-11 06:31:33,160 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4432 [2025-03-11 06:31:33,216 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4229 [2025-03-11 06:31:33,257 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8856 [2025-03-11 06:31:33,315 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1133 [2025-03-11 06:31:33,367 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8004 [2025-03-11 06:31:33,400 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2251 [2025-03-11 06:31:33,449 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2501 [2025-03-11 06:31:33,484 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1868 [2025-03-11 06:31:33,533 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1317 [2025-03-11 06:31:33,567 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.3138 [2025-03-11 06:31:33,620 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.1542 [2025-03-11 06:31:33,660 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4412 [2025-03-11 06:31:33,699 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1752 [2025-03-11 06:31:33,747 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0722 [2025-03-11 06:31:33,785 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4984 [2025-03-11 06:31:33,825 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0514 [2025-03-11 06:31:33,876 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5780 [2025-03-11 06:31:33,910 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.8100 [2025-03-11 06:31:33,949 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6958 [2025-03-11 06:31:33,990 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9883 [2025-03-11 06:31:34,025 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5183 [2025-03-11 06:31:34,073 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1361 [2025-03-11 06:31:34,118 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5164 [2025-03-11 06:31:34,159 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5208 [2025-03-11 06:31:34,216 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0244 [2025-03-11 06:31:34,255 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8400 [2025-03-11 06:31:34,288 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1142 [2025-03-11 06:31:34,348 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.6620 [2025-03-11 06:31:34,408 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4785 [2025-03-11 06:31:34,446 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.5982 [2025-03-11 06:31:34,507 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.6941 [2025-03-11 06:31:34,548 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3593 [2025-03-11 06:31:34,589 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2700 [2025-03-11 06:31:34,629 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7575 [2025-03-11 06:31:34,671 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.3362 [2025-03-11 06:31:34,706 INFO hook.py line 748 2389709] Test: [38/78] Loss 1.0087 [2025-03-11 06:31:34,772 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.3224 [2025-03-11 06:31:34,823 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3751 [2025-03-11 06:31:34,867 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4015 [2025-03-11 06:31:34,900 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4246 [2025-03-11 06:31:34,938 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2628 [2025-03-11 06:31:34,998 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8525 [2025-03-11 06:31:35,038 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7053 [2025-03-11 06:31:35,086 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2304 [2025-03-11 06:31:35,126 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8605 [2025-03-11 06:31:35,165 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0033 [2025-03-11 06:31:35,199 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.9906 [2025-03-11 06:31:35,232 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4321 [2025-03-11 06:31:35,264 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2463 [2025-03-11 06:31:35,304 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6986 [2025-03-11 06:31:35,336 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3894 [2025-03-11 06:31:35,375 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.3287 [2025-03-11 06:31:35,413 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4864 [2025-03-11 06:31:35,457 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8119 [2025-03-11 06:31:35,495 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.3707 [2025-03-11 06:31:35,523 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7646 [2025-03-11 06:31:35,565 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9608 [2025-03-11 06:31:35,606 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4886 [2025-03-11 06:31:35,636 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7926 [2025-03-11 06:31:35,676 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1433 [2025-03-11 06:31:35,727 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1089 [2025-03-11 06:31:35,788 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.0546 [2025-03-11 06:31:35,821 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4554 [2025-03-11 06:31:35,864 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.1833 [2025-03-11 06:31:35,907 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8945 [2025-03-11 06:31:35,948 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0405 [2025-03-11 06:31:35,981 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3795 [2025-03-11 06:31:36,041 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0848 [2025-03-11 06:31:36,088 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.9502 [2025-03-11 06:31:36,146 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9889 [2025-03-11 06:31:36,205 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7422 [2025-03-11 06:31:36,249 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.8408 [2025-03-11 06:31:36,300 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6330 [2025-03-11 06:31:36,329 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0279 [2025-03-11 06:31:36,391 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5845 [2025-03-11 06:31:36,421 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3335 [2025-03-11 06:31:37,684 INFO hook.py line 674 2389709] ######################################## [2025-03-11 06:31:37,684 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 06:31:37,684 INFO hook.py line 680 2389709] ######################################## [2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] wall : 0.7996 0.9313 [2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] chair : 0.7306 0.8618 [2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] floor : 0.9595 0.9837 [2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] table : 0.6449 0.7805 [2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] door : 0.6733 0.7950 [2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] couch : 0.8013 0.9215 [2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] cabinet : 0.3854 0.5890 [2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] shelf : 0.4302 0.5873 [2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] desk : 0.5902 0.8032 [2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] office chair : 0.1692 0.2586 [2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] bed : 0.8001 0.8864 [2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] pillow : 0.5714 0.7963 [2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] sink : 0.6860 0.7927 [2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] picture : 0.3965 0.5260 [2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] window : 0.6113 0.7769 [2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] toilet : 0.9506 0.9696 [2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] bookshelf : 0.4721 0.6198 [2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] monitor : 0.8629 0.9264 [2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] curtain : 0.7227 0.8578 [2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] book : 0.4604 0.7274 [2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] armchair : 0.5697 0.7744 [2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] coffee table : 0.6438 0.7790 [2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] box : 0.3319 0.4567 [2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] refrigerator : 0.6847 0.7380 [2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] lamp : 0.6756 0.8145 [2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] kitchen cabinet: 0.6781 0.7736 [2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] towel : 0.5205 0.6567 [2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] clothes : 0.2076 0.4001 [2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] tv : 0.8875 0.9293 [2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] nightstand : 0.6993 0.8714 [2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] counter : 0.3101 0.5033 [2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] dresser : 0.4251 0.5619 [2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] stool : 0.5740 0.7389 [2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] plant : 0.7566 0.8876 [2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] ceiling : 0.9312 0.9657 [2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] bathtub : 0.8828 0.9189 [2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] end table : 0.2677 0.3801 [2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] dining table : 0.0397 0.0570 [2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] keyboard : 0.4256 0.5639 [2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] bag : 0.2313 0.3142 [2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] backpack : 0.6353 0.7275 [2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] toilet paper : 0.5024 0.6194 [2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] printer : 0.4884 0.6084 [2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] tv stand : 0.2986 0.3988 [2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] whiteboard : 0.5119 0.6830 [2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] blanket : 0.0484 0.0696 [2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] shower curtain : 0.6922 0.7724 [2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] trash can : 0.6420 0.8407 [2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] closet : 0.1135 0.1624 [2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] stairs : 0.4694 0.6807 [2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] microwave : 0.5664 0.7535 [2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] stove : 0.6483 0.8499 [2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] shoe : 0.5332 0.6914 [2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] computer tower : 0.5678 0.8082 [2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] bottle : 0.1247 0.2313 [2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] bin : 0.0003 0.0005 [2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] ottoman : 0.3747 0.4088 [2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] bench : 0.4859 0.5554 [2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] board : 0.2054 0.2981 [2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] washing machine: 0.8498 0.9552 [2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] mirror : 0.3961 0.4800 [2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] copier : 0.8541 0.9489 [2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] sofa chair : 0.1104 0.1481 [2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] file cabinet : 0.4401 0.5421 [2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] fan : 0.3582 0.4827 [2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] laptop : 0.5302 0.7115 [2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] shower : 0.2522 0.2660 [2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] paper : 0.0638 0.0875 [2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] person : 0.3472 0.5870 [2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] paper towel dispenser: 0.5510 0.8257 [2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] oven : 0.1445 0.1681 [2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] blinds : 0.0004 0.0005 [2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] blackboard : 0.5866 0.6548 [2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] piano : 0.4583 0.5923 [2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] suitcase : 0.6657 0.8071 [2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] rail : 0.0486 0.0522 [2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] radiator : 0.6473 0.7072 [2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] recycling bin : 0.4845 0.6561 [2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] container : 0.0040 0.0073 [2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] wardrobe : 0.1679 0.2333 [2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] soap dispenser : 0.8911 0.9126 [2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] telephone : 0.2958 0.4041 [2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] bucket : 0.3314 0.4863 [2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] clock : 0.2627 0.3068 [2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] light : 0.0525 0.0597 [2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] laundry basket : 0.0694 0.0762 [2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] pipe : 0.0374 0.0564 [2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] clothes dryer : 0.6171 0.6258 [2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] guitar : 0.8021 0.8577 [2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] toilet paper holder: 0.0464 0.1609 [2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] column : 0.0009 0.0009 [2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] ladder : 0.5414 0.5905 [2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] bathroom stall : 0.4273 0.4718 [2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] shower wall : 0.4477 0.5824 [2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] cup : 0.1762 0.3148 [2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] jacket : 0.1917 0.2480 [2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] storage bin : 0.0009 0.0011 [2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] coffee maker : 0.8283 0.9584 [2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] dishwasher : 0.2696 0.3885 [2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] paper towel roll: 0.3344 0.3906 [2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] mat : 0.1778 0.1892 [2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] windowsill : 0.1352 0.1479 [2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] bar : 0.2019 0.3402 [2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] toaster : 0.4604 0.8774 [2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] bulletin board : 0.2246 0.3852 [2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] ironing board : 0.1733 0.1947 [2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] fireplace : 0.6104 0.6345 [2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] soap dish : 0.3620 0.5078 [2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] kitchen counter: 0.5383 0.6523 [2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] doorframe : 0.4297 0.6723 [2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4478 0.5517 [2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] mini fridge : 0.3266 0.3541 [2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] fire extinguisher: 0.2220 0.2547 [2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] ball : 0.5445 0.7285 [2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] shower curtain rod: 0.3843 0.9239 [2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] water cooler : 0.7456 0.8491 [2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] paper cutter : 0.2859 0.3348 [2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] tray : 0.0740 0.0970 [2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] shower door : 0.2321 0.2790 [2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] ledge : 0.0482 0.0694 [2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] mouse : 0.1139 0.5066 [2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7091 0.8047 [2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] cart : 0.1693 0.1975 [2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] scale : 0.4425 0.9434 [2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] tissue box : 0.2415 0.3012 [2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] light switch : 0.0260 0.0520 [2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] power outlet : 0.2305 0.3140 [2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] decoration : 0.3840 0.5535 [2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] projector : 0.0639 1.0000 [2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] closet door : 0.0779 0.0875 [2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] vacuum cleaner : 0.8620 0.9829 [2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] plunger : 0.5604 0.9811 [2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] headphones : 0.0206 0.0276 [2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] dish rack : 0.8124 0.9689 [2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] broom : 0.0851 0.1018 [2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] range hood : 0.7330 0.9070 [2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] dustpan : 0.0805 0.1660 [2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] hair dryer : 0.0014 0.0020 [2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] handicap bar : 0.0303 0.3372 [2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] vent : 0.1923 0.2182 [2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] shower floor : 0.9012 0.9928 [2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] mailbox : 0.4514 0.4630 [2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] bowl : 0.1075 0.1339 [2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] paper bag : 0.0998 0.1400 [2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] divider : 0.4470 0.4871 [2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] bathroom counter: 0.2652 0.3019 [2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] object : 0.0446 0.0750 [2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] bathroom vanity: 0.5306 0.8280 [2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] closet wall : 0.0216 0.0296 [2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] laundry hamper : 0.0143 0.0154 [2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] bathroom stall door: 0.6166 0.7645 [2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] ceiling light : 0.4270 0.5407 [2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] trash bin : 0.2490 0.3173 [2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] dumbbell : 0.6827 0.9781 [2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] stair rail : 0.1302 0.1490 [2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] tube : 0.1094 0.1306 [2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] bathroom cabinet: 0.5156 0.6578 [2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] closet rod : 0.5707 0.8574 [2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] coffee kettle : 0.4621 0.4861 [2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] shower head : 0.3130 0.3780 [2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] case of water bottles: 0.1718 0.1753 [2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] coat rack : 0.0081 0.0238 [2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] poster : 0.0004 0.0005 [2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] mattress : 0.0197 0.0198 [2025-03-11 06:31:37,693 INFO hook.py line 690 2389709] ######################################## [2025-03-11 06:31:37,693 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3279/0.4194/0.8288. [2025-03-11 06:31:37,694 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 06:31:37,710 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.3279 [2025-03-11 06:31:37,710 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3279 [2025-03-11 06:31:37,710 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 06:32:07,452 INFO hook.py line 566 2389709] Train: [94/100][50/300] Data 0.002 (0.003) Batch 0.524 (0.491) Remain 00:16:45 loss: 0.2514 Lr: 6.46718e-05 [2025-03-11 06:32:31,564 INFO hook.py line 566 2389709] Train: [94/100][100/300] Data 0.002 (0.002) Batch 0.500 (0.486) Remain 00:16:12 loss: 0.3245 Lr: 6.16071e-05 [2025-03-11 06:32:56,311 INFO hook.py line 566 2389709] Train: [94/100][150/300] Data 0.002 (0.002) Batch 0.522 (0.489) Remain 00:15:53 loss: 0.4639 Lr: 5.86164e-05 [2025-03-11 06:33:20,773 INFO hook.py line 566 2389709] Train: [94/100][200/300] Data 0.003 (0.002) Batch 0.519 (0.489) Remain 00:15:29 loss: 0.5038 Lr: 5.56999e-05 [2025-03-11 06:33:45,499 INFO hook.py line 566 2389709] Train: [94/100][250/300] Data 0.003 (0.002) Batch 0.522 (0.490) Remain 00:15:07 loss: 0.4071 Lr: 5.28577e-05 [2025-03-11 06:34:09,604 INFO hook.py line 566 2389709] Train: [94/100][300/300] Data 0.001 (0.002) Batch 0.589 (0.489) Remain 00:14:40 loss: 0.3351 Lr: 5.00898e-05 [2025-03-11 06:34:09,605 INFO misc.py line 135 2389709] Train result: loss: 0.4073 [2025-03-11 06:34:09,708 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 06:34:58,015 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2752 [2025-03-11 06:34:58,098 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3117 [2025-03-11 06:34:58,132 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4202 [2025-03-11 06:34:58,183 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4334 [2025-03-11 06:34:58,224 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8424 [2025-03-11 06:34:58,281 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1385 [2025-03-11 06:34:58,337 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8012 [2025-03-11 06:34:58,370 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2623 [2025-03-11 06:34:58,420 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1925 [2025-03-11 06:34:58,464 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2527 [2025-03-11 06:34:58,512 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1509 [2025-03-11 06:34:58,548 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.4356 [2025-03-11 06:34:58,597 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.1932 [2025-03-11 06:34:58,641 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4031 [2025-03-11 06:34:58,684 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1504 [2025-03-11 06:34:58,733 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0696 [2025-03-11 06:34:58,774 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4962 [2025-03-11 06:34:58,812 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0782 [2025-03-11 06:34:58,858 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.6338 [2025-03-11 06:34:58,904 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7643 [2025-03-11 06:34:58,942 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6860 [2025-03-11 06:34:58,983 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.0061 [2025-03-11 06:34:59,020 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5451 [2025-03-11 06:34:59,076 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1246 [2025-03-11 06:34:59,118 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4854 [2025-03-11 06:34:59,165 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5100 [2025-03-11 06:34:59,222 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0338 [2025-03-11 06:34:59,265 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8189 [2025-03-11 06:34:59,302 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1537 [2025-03-11 06:34:59,361 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.4323 [2025-03-11 06:34:59,419 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4803 [2025-03-11 06:34:59,454 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6561 [2025-03-11 06:34:59,515 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7396 [2025-03-11 06:34:59,558 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3303 [2025-03-11 06:34:59,609 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3446 [2025-03-11 06:34:59,655 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7534 [2025-03-11 06:34:59,695 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.1099 [2025-03-11 06:34:59,734 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9748 [2025-03-11 06:34:59,802 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.4803 [2025-03-11 06:34:59,855 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4284 [2025-03-11 06:34:59,905 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4334 [2025-03-11 06:34:59,940 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4356 [2025-03-11 06:34:59,978 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0324 [2025-03-11 06:35:00,041 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8344 [2025-03-11 06:35:00,076 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.5970 [2025-03-11 06:35:00,125 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1965 [2025-03-11 06:35:00,165 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8937 [2025-03-11 06:35:00,203 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0201 [2025-03-11 06:35:00,238 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.8652 [2025-03-11 06:35:00,270 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4843 [2025-03-11 06:35:00,302 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3133 [2025-03-11 06:35:00,342 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7347 [2025-03-11 06:35:00,368 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4547 [2025-03-11 06:35:00,407 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.1797 [2025-03-11 06:35:00,445 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4893 [2025-03-11 06:35:00,489 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9329 [2025-03-11 06:35:00,527 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.0797 [2025-03-11 06:35:00,555 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7674 [2025-03-11 06:35:00,597 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9896 [2025-03-11 06:35:00,633 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5578 [2025-03-11 06:35:00,661 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7792 [2025-03-11 06:35:00,697 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1384 [2025-03-11 06:35:00,738 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0937 [2025-03-11 06:35:00,798 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.0219 [2025-03-11 06:35:00,827 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3632 [2025-03-11 06:35:00,869 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.3325 [2025-03-11 06:35:00,912 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8449 [2025-03-11 06:35:00,948 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0258 [2025-03-11 06:35:00,979 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3882 [2025-03-11 06:35:01,040 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0655 [2025-03-11 06:35:01,087 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8884 [2025-03-11 06:35:01,141 INFO hook.py line 748 2389709] Test: [72/78] Loss 2.0340 [2025-03-11 06:35:01,195 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7765 [2025-03-11 06:35:01,238 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.7655 [2025-03-11 06:35:01,289 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6540 [2025-03-11 06:35:01,318 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9824 [2025-03-11 06:35:01,378 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6192 [2025-03-11 06:35:01,408 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3158 [2025-03-11 06:35:02,762 INFO hook.py line 674 2389709] ######################################## [2025-03-11 06:35:02,762 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 06:35:02,762 INFO hook.py line 680 2389709] ######################################## [2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] wall : 0.7995 0.9282 [2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] chair : 0.7293 0.8581 [2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] floor : 0.9604 0.9836 [2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] table : 0.6442 0.7882 [2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] door : 0.6688 0.7929 [2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] couch : 0.7957 0.9194 [2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] cabinet : 0.3904 0.5945 [2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] shelf : 0.4313 0.5922 [2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] desk : 0.5936 0.7942 [2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] office chair : 0.1702 0.2645 [2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] bed : 0.8009 0.8878 [2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] pillow : 0.5719 0.7911 [2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] sink : 0.6779 0.7894 [2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] picture : 0.3848 0.5152 [2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] window : 0.6011 0.7714 [2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] toilet : 0.9516 0.9691 [2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] bookshelf : 0.4898 0.6580 [2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] monitor : 0.8688 0.9314 [2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] curtain : 0.7216 0.8558 [2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] book : 0.4581 0.6840 [2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] armchair : 0.5571 0.7455 [2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] coffee table : 0.6361 0.7663 [2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] box : 0.3199 0.4349 [2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] refrigerator : 0.6872 0.7493 [2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] lamp : 0.6858 0.8225 [2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] kitchen cabinet: 0.6804 0.7786 [2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] towel : 0.5521 0.7121 [2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] clothes : 0.2235 0.4233 [2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] tv : 0.8903 0.9323 [2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] nightstand : 0.6906 0.8557 [2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] counter : 0.3120 0.4915 [2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] dresser : 0.4389 0.5806 [2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] stool : 0.5818 0.7507 [2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] plant : 0.7531 0.8876 [2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] ceiling : 0.9294 0.9633 [2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] bathtub : 0.8858 0.9173 [2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] end table : 0.2554 0.3714 [2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] dining table : 0.0262 0.0349 [2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] keyboard : 0.4209 0.5466 [2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] bag : 0.2178 0.2979 [2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] backpack : 0.6304 0.7086 [2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] toilet paper : 0.4888 0.5871 [2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] printer : 0.4676 0.6277 [2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] tv stand : 0.2951 0.3880 [2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] whiteboard : 0.5136 0.7093 [2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] blanket : 0.0413 0.0622 [2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] shower curtain : 0.6989 0.7655 [2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] trash can : 0.6328 0.8501 [2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] closet : 0.1138 0.1647 [2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] stairs : 0.5464 0.6927 [2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] microwave : 0.5602 0.7684 [2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] stove : 0.6507 0.8471 [2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] shoe : 0.5256 0.6502 [2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] computer tower : 0.5540 0.7988 [2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] bottle : 0.1151 0.2036 [2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] bin : 0.0002 0.0004 [2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] ottoman : 0.3695 0.3892 [2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] bench : 0.4709 0.5243 [2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] board : 0.2138 0.3344 [2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] washing machine: 0.8711 0.9495 [2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] mirror : 0.4004 0.4846 [2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] copier : 0.8456 0.9495 [2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] sofa chair : 0.1469 0.2157 [2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] file cabinet : 0.4402 0.5645 [2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] fan : 0.3586 0.4415 [2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] laptop : 0.5239 0.6984 [2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] shower : 0.2720 0.2873 [2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] paper : 0.0601 0.0831 [2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] person : 0.3310 0.5995 [2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] paper towel dispenser: 0.5382 0.8708 [2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] oven : 0.1681 0.2001 [2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] blinds : 0.0008 0.0009 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] blackboard : 0.5840 0.6578 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] piano : 0.4641 0.5948 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] suitcase : 0.6574 0.8162 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] rail : 0.0409 0.0432 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] radiator : 0.6666 0.7235 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] recycling bin : 0.4880 0.6607 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] container : 0.0001 0.0002 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] wardrobe : 0.1498 0.2094 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] soap dispenser : 0.8229 0.9160 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] telephone : 0.2915 0.4003 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] bucket : 0.3468 0.5113 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] clock : 0.2534 0.2967 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] light : 0.0636 0.0718 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] laundry basket : 0.0436 0.0478 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] pipe : 0.0380 0.0588 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] clothes dryer : 0.6569 0.6669 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] guitar : 0.7285 0.8041 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] toilet paper holder: 0.0502 0.1340 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] column : 0.0215 0.0245 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] ladder : 0.5758 0.6142 [2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] bathroom stall : 0.4375 0.4990 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] shower wall : 0.4471 0.5770 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] cup : 0.1817 0.3021 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] jacket : 0.2147 0.2831 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] storage bin : 0.0009 0.0013 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] coffee maker : 0.7141 0.9267 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] dishwasher : 0.2498 0.3768 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] paper towel roll: 0.3227 0.3908 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] mat : 0.1846 0.1970 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] windowsill : 0.1087 0.1186 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] bar : 0.2056 0.3308 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] toaster : 0.4267 0.8091 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] bulletin board : 0.2490 0.4336 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] ironing board : 0.1628 0.1770 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] fireplace : 0.6357 0.6625 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] soap dish : 0.3688 0.5157 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] kitchen counter: 0.5542 0.6738 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] doorframe : 0.4336 0.6503 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4706 0.5762 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] mini fridge : 0.3188 0.3442 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] fire extinguisher: 0.2389 0.2702 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] ball : 0.5369 0.7314 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] shower curtain rod: 0.3989 0.9122 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] water cooler : 0.6930 0.8293 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] paper cutter : 0.2914 0.3372 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] tray : 0.0746 0.1081 [2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] shower door : 0.2462 0.2848 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] ledge : 0.0433 0.0575 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] mouse : 0.1273 0.4912 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7540 0.8263 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] cart : 0.1660 0.1926 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] scale : 0.4698 0.9415 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] tissue box : 0.2470 0.3050 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] light switch : 0.0316 0.0687 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] power outlet : 0.2383 0.2794 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] decoration : 0.2806 0.4105 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] projector : 0.0732 1.0000 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] closet door : 0.0876 0.0961 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] vacuum cleaner : 0.8542 0.9845 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] plunger : 0.5699 0.9841 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] headphones : 0.0227 0.0312 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] dish rack : 0.8422 0.9750 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] broom : 0.0751 0.0861 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] range hood : 0.7524 0.9063 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] dustpan : 0.0698 0.1353 [2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] handicap bar : 0.0235 0.3038 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] vent : 0.1684 0.1815 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] shower floor : 0.8789 0.9939 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] mailbox : 0.4583 0.4700 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] bowl : 0.1988 0.2545 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] paper bag : 0.1023 0.1342 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] divider : 0.4646 0.5134 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] bathroom counter: 0.2660 0.3120 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] object : 0.0420 0.0709 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] bathroom vanity: 0.5572 0.8208 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] closet wall : 0.0229 0.0311 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] laundry hamper : 0.0390 0.0415 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] bathroom stall door: 0.6296 0.7931 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] ceiling light : 0.4217 0.5490 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] trash bin : 0.2343 0.3013 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] dumbbell : 0.7318 0.9780 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] stair rail : 0.1332 0.1567 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] tube : 0.1275 0.1561 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] bathroom cabinet: 0.5657 0.7305 [2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] closet rod : 0.5719 0.8440 [2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] coffee kettle : 0.3927 0.4125 [2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] shower head : 0.3166 0.3788 [2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] case of water bottles: 0.1056 0.1078 [2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] coat rack : 0.0076 0.0215 [2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] fire alarm : 0.0231 0.0698 [2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] poster : 0.0004 0.0004 [2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] mattress : 0.0207 0.0207 [2025-03-11 06:35:02,772 INFO hook.py line 690 2389709] ######################################## [2025-03-11 06:35:02,772 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3281/0.4192/0.8289. [2025-03-11 06:35:02,773 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 06:35:02,789 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.3281 [2025-03-11 06:35:02,790 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3281 [2025-03-11 06:35:02,790 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 06:35:33,103 INFO hook.py line 566 2389709] Train: [95/100][50/300] Data 0.002 (0.002) Batch 0.545 (0.493) Remain 00:14:22 loss: 0.5686 Lr: 4.73964e-05 [2025-03-11 06:35:57,661 INFO hook.py line 566 2389709] Train: [95/100][100/300] Data 0.002 (0.002) Batch 0.439 (0.492) Remain 00:13:56 loss: 0.5151 Lr: 4.47774e-05 [2025-03-11 06:36:22,343 INFO hook.py line 566 2389709] Train: [95/100][150/300] Data 0.002 (0.002) Batch 0.444 (0.493) Remain 00:13:32 loss: 0.5200 Lr: 4.22331e-05 [2025-03-11 06:36:46,531 INFO hook.py line 566 2389709] Train: [95/100][200/300] Data 0.003 (0.002) Batch 0.383 (0.490) Remain 00:13:04 loss: 0.2861 Lr: 3.97634e-05 [2025-03-11 06:37:11,298 INFO hook.py line 566 2389709] Train: [95/100][250/300] Data 0.002 (0.002) Batch 0.490 (0.491) Remain 00:12:41 loss: 0.2909 Lr: 3.73685e-05 [2025-03-11 06:37:35,790 INFO hook.py line 566 2389709] Train: [95/100][300/300] Data 0.001 (0.002) Batch 0.493 (0.491) Remain 00:12:16 loss: 0.5226 Lr: 3.50484e-05 [2025-03-11 06:37:35,791 INFO misc.py line 135 2389709] Train result: loss: 0.3998 [2025-03-11 06:37:35,888 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 06:38:29,016 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2716 [2025-03-11 06:38:29,137 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3084 [2025-03-11 06:38:29,198 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4902 [2025-03-11 06:38:29,247 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4315 [2025-03-11 06:38:29,282 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8596 [2025-03-11 06:38:29,343 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0830 [2025-03-11 06:38:29,400 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7922 [2025-03-11 06:38:29,430 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2454 [2025-03-11 06:38:29,483 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1816 [2025-03-11 06:38:29,527 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2771 [2025-03-11 06:38:29,577 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1762 [2025-03-11 06:38:29,615 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.4925 [2025-03-11 06:38:29,673 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.9665 [2025-03-11 06:38:29,720 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4791 [2025-03-11 06:38:29,760 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1873 [2025-03-11 06:38:29,807 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0719 [2025-03-11 06:38:29,846 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5449 [2025-03-11 06:38:29,885 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0553 [2025-03-11 06:38:29,934 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5429 [2025-03-11 06:38:29,973 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7728 [2025-03-11 06:38:30,011 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6812 [2025-03-11 06:38:30,051 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9247 [2025-03-11 06:38:30,085 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5758 [2025-03-11 06:38:30,142 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1247 [2025-03-11 06:38:30,187 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4686 [2025-03-11 06:38:30,229 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5963 [2025-03-11 06:38:30,283 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0951 [2025-03-11 06:38:30,318 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8180 [2025-03-11 06:38:30,357 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1323 [2025-03-11 06:38:30,418 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5018 [2025-03-11 06:38:30,477 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4618 [2025-03-11 06:38:30,517 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6815 [2025-03-11 06:38:30,579 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7443 [2025-03-11 06:38:30,622 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3604 [2025-03-11 06:38:30,658 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2818 [2025-03-11 06:38:30,705 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.6862 [2025-03-11 06:38:30,743 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.0907 [2025-03-11 06:38:30,783 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9943 [2025-03-11 06:38:30,849 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.4294 [2025-03-11 06:38:30,897 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4963 [2025-03-11 06:38:30,943 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4078 [2025-03-11 06:38:30,976 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4252 [2025-03-11 06:38:31,019 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1522 [2025-03-11 06:38:31,086 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8340 [2025-03-11 06:38:31,121 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4011 [2025-03-11 06:38:31,172 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2134 [2025-03-11 06:38:31,213 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9231 [2025-03-11 06:38:31,246 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0175 [2025-03-11 06:38:31,278 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.9464 [2025-03-11 06:38:31,310 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5061 [2025-03-11 06:38:31,342 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3723 [2025-03-11 06:38:31,386 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7261 [2025-03-11 06:38:31,417 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4278 [2025-03-11 06:38:31,456 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.1556 [2025-03-11 06:38:31,494 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4810 [2025-03-11 06:38:31,539 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9061 [2025-03-11 06:38:31,573 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.4046 [2025-03-11 06:38:31,607 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7611 [2025-03-11 06:38:31,657 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9323 [2025-03-11 06:38:31,693 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5148 [2025-03-11 06:38:31,722 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8235 [2025-03-11 06:38:31,758 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0619 [2025-03-11 06:38:31,801 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1814 [2025-03-11 06:38:31,860 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.0174 [2025-03-11 06:38:31,897 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4180 [2025-03-11 06:38:31,943 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.2932 [2025-03-11 06:38:31,984 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8325 [2025-03-11 06:38:32,019 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0685 [2025-03-11 06:38:32,050 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3892 [2025-03-11 06:38:32,111 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0733 [2025-03-11 06:38:32,157 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7389 [2025-03-11 06:38:32,212 INFO hook.py line 748 2389709] Test: [72/78] Loss 2.0560 [2025-03-11 06:38:32,266 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7742 [2025-03-11 06:38:32,311 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.7408 [2025-03-11 06:38:32,362 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6632 [2025-03-11 06:38:32,391 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0385 [2025-03-11 06:38:32,451 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5316 [2025-03-11 06:38:32,478 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3550 [2025-03-11 06:38:33,766 INFO hook.py line 674 2389709] ######################################## [2025-03-11 06:38:33,767 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 06:38:33,767 INFO hook.py line 680 2389709] ######################################## [2025-03-11 06:38:33,767 INFO hook.py line 689 2389709] wall : 0.7976 0.9281 [2025-03-11 06:38:33,767 INFO hook.py line 689 2389709] chair : 0.7259 0.8574 [2025-03-11 06:38:33,767 INFO hook.py line 689 2389709] floor : 0.9599 0.9832 [2025-03-11 06:38:33,767 INFO hook.py line 689 2389709] table : 0.6438 0.7809 [2025-03-11 06:38:33,767 INFO hook.py line 689 2389709] door : 0.6633 0.7847 [2025-03-11 06:38:33,767 INFO hook.py line 689 2389709] couch : 0.7964 0.9221 [2025-03-11 06:38:33,767 INFO hook.py line 689 2389709] cabinet : 0.3905 0.5992 [2025-03-11 06:38:33,767 INFO hook.py line 689 2389709] shelf : 0.4160 0.5647 [2025-03-11 06:38:33,767 INFO hook.py line 689 2389709] desk : 0.5884 0.8039 [2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] office chair : 0.1671 0.2632 [2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] bed : 0.8020 0.8892 [2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] pillow : 0.5739 0.7911 [2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] sink : 0.6777 0.7839 [2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] picture : 0.3861 0.5379 [2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] window : 0.6038 0.7765 [2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] toilet : 0.9480 0.9702 [2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] bookshelf : 0.4762 0.6395 [2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] monitor : 0.8690 0.9301 [2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] curtain : 0.7275 0.8543 [2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] book : 0.4564 0.7081 [2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] armchair : 0.5531 0.7192 [2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] coffee table : 0.6202 0.7374 [2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] box : 0.3313 0.4436 [2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] refrigerator : 0.6859 0.7462 [2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] lamp : 0.6854 0.8260 [2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] kitchen cabinet: 0.6728 0.7629 [2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] towel : 0.5501 0.7066 [2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] clothes : 0.2141 0.4057 [2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] tv : 0.8923 0.9336 [2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] nightstand : 0.6938 0.8580 [2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] counter : 0.3104 0.4870 [2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] dresser : 0.4403 0.6147 [2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] stool : 0.5800 0.7392 [2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] plant : 0.7558 0.8860 [2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] ceiling : 0.9305 0.9636 [2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] bathtub : 0.8835 0.9174 [2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] end table : 0.2718 0.3822 [2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] dining table : 0.0311 0.0452 [2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] keyboard : 0.4300 0.5679 [2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] bag : 0.2463 0.3468 [2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] backpack : 0.6404 0.7296 [2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] toilet paper : 0.4877 0.5955 [2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] printer : 0.4672 0.6060 [2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] tv stand : 0.3170 0.4121 [2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] whiteboard : 0.5062 0.6895 [2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] blanket : 0.0466 0.0693 [2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] shower curtain : 0.7047 0.7773 [2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] trash can : 0.6349 0.8465 [2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] closet : 0.1099 0.1645 [2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] stairs : 0.5131 0.6941 [2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] microwave : 0.5705 0.7607 [2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] stove : 0.6402 0.8545 [2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] shoe : 0.5132 0.6751 [2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] computer tower : 0.5436 0.7987 [2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] bottle : 0.1348 0.2648 [2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] bin : 0.0004 0.0007 [2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] ottoman : 0.3972 0.4247 [2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] bench : 0.4676 0.5206 [2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] board : 0.2127 0.3384 [2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] washing machine: 0.8520 0.9477 [2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] mirror : 0.3968 0.4879 [2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] copier : 0.8670 0.9456 [2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] sofa chair : 0.1355 0.1927 [2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] file cabinet : 0.4466 0.5596 [2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] fan : 0.3712 0.4425 [2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] laptop : 0.5368 0.7346 [2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] shower : 0.2889 0.3079 [2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] paper : 0.0676 0.0933 [2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] person : 0.3250 0.6144 [2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] paper towel dispenser: 0.5791 0.8409 [2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] oven : 0.1352 0.1562 [2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 [2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] blackboard : 0.5816 0.6590 [2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] piano : 0.4714 0.6305 [2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] suitcase : 0.6342 0.8002 [2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] rail : 0.0427 0.0459 [2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] radiator : 0.6634 0.7258 [2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] recycling bin : 0.4894 0.6425 [2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] container : 0.0034 0.0061 [2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] wardrobe : 0.1430 0.1970 [2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] soap dispenser : 0.8357 0.9149 [2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] telephone : 0.2891 0.3884 [2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] bucket : 0.3750 0.5628 [2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] clock : 0.2455 0.2883 [2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] light : 0.0584 0.0672 [2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] laundry basket : 0.0395 0.0455 [2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] pipe : 0.0368 0.0630 [2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] clothes dryer : 0.6291 0.6407 [2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] guitar : 0.7794 0.8385 [2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] toilet paper holder: 0.0399 0.1250 [2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] column : 0.0008 0.0009 [2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] ladder : 0.5736 0.6164 [2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] bathroom stall : 0.4311 0.4928 [2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] shower wall : 0.4494 0.5821 [2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] cup : 0.1786 0.2988 [2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] jacket : 0.1946 0.2532 [2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] storage bin : 0.0014 0.0018 [2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] coffee maker : 0.7658 0.9247 [2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] dishwasher : 0.2902 0.4092 [2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] paper towel roll: 0.3317 0.3910 [2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] mat : 0.1912 0.2032 [2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] windowsill : 0.1016 0.1098 [2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] bar : 0.1774 0.2904 [2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] toaster : 0.4623 0.7853 [2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] bulletin board : 0.2421 0.4198 [2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] ironing board : 0.1641 0.1802 [2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] fireplace : 0.5760 0.6010 [2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] soap dish : 0.3671 0.5166 [2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] kitchen counter: 0.5486 0.6600 [2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] doorframe : 0.4261 0.6480 [2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4595 0.5846 [2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] mini fridge : 0.3416 0.3822 [2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] fire extinguisher: 0.2311 0.2589 [2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] ball : 0.5397 0.7268 [2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] shower curtain rod: 0.3944 0.9217 [2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] water cooler : 0.6831 0.8982 [2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] paper cutter : 0.2813 0.3418 [2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] tray : 0.0781 0.1033 [2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] shower door : 0.2442 0.2965 [2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] ledge : 0.0501 0.0723 [2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] mouse : 0.1391 0.5714 [2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7611 0.8158 [2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] cart : 0.1521 0.1729 [2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] scale : 0.4671 0.9400 [2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] tissue box : 0.2568 0.3224 [2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] light switch : 0.0315 0.0642 [2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] power outlet : 0.2347 0.2817 [2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] decoration : 0.2779 0.4687 [2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] projector : 0.0732 1.0000 [2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] closet door : 0.0691 0.0772 [2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] vacuum cleaner : 0.8467 0.9861 [2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] plunger : 0.5244 0.9710 [2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] headphones : 0.0133 0.0175 [2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] dish rack : 0.8073 0.9702 [2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] broom : 0.0844 0.1147 [2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] range hood : 0.7441 0.9058 [2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] dustpan : 0.0884 0.2019 [2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] handicap bar : 0.0270 0.3599 [2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] vent : 0.1761 0.1904 [2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] shower floor : 0.8709 0.9967 [2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] mailbox : 0.4597 0.4727 [2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] bowl : 0.1927 0.2221 [2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] paper bag : 0.1293 0.1598 [2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] divider : 0.4665 0.5133 [2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] bathroom counter: 0.2538 0.2937 [2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] object : 0.0429 0.0728 [2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] bathroom vanity: 0.5596 0.8197 [2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] closet wall : 0.0217 0.0296 [2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] laundry hamper : 0.0273 0.0295 [2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] bathroom stall door: 0.6228 0.7850 [2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] ceiling light : 0.4221 0.5443 [2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] trash bin : 0.2353 0.3070 [2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] dumbbell : 0.7162 0.9720 [2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] stair rail : 0.1371 0.1618 [2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] tube : 0.0911 0.1109 [2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] bathroom cabinet: 0.5985 0.7832 [2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] closet rod : 0.5655 0.8608 [2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] coffee kettle : 0.4167 0.4858 [2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] shower head : 0.3066 0.3764 [2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] case of water bottles: 0.1053 0.1055 [2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] coat rack : 0.0031 0.0096 [2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] fire alarm : 0.0074 0.0244 [2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] poster : 0.0004 0.0004 [2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] mattress : 0.0119 0.0120 [2025-03-11 06:38:33,778 INFO hook.py line 690 2389709] ######################################## [2025-03-11 06:38:33,778 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3277/0.4210/0.8273. [2025-03-11 06:38:33,782 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 06:38:33,799 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3281 [2025-03-11 06:38:33,800 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 06:39:04,382 INFO hook.py line 566 2389709] Train: [96/100][50/300] Data 0.003 (0.003) Batch 0.544 (0.491) Remain 00:11:51 loss: 0.2525 Lr: 3.28031e-05 [2025-03-11 06:39:29,153 INFO hook.py line 566 2389709] Train: [96/100][100/300] Data 0.003 (0.003) Batch 0.448 (0.493) Remain 00:11:30 loss: 0.2887 Lr: 3.06329e-05 [2025-03-11 06:39:54,021 INFO hook.py line 566 2389709] Train: [96/100][150/300] Data 0.002 (0.003) Batch 0.564 (0.495) Remain 00:11:07 loss: 0.4655 Lr: 2.85376e-05 [2025-03-11 06:40:18,695 INFO hook.py line 566 2389709] Train: [96/100][200/300] Data 0.004 (0.003) Batch 0.456 (0.494) Remain 00:10:42 loss: 0.4328 Lr: 2.65174e-05 [2025-03-11 06:40:43,418 INFO hook.py line 566 2389709] Train: [96/100][250/300] Data 0.003 (0.003) Batch 0.528 (0.494) Remain 00:10:17 loss: 0.3077 Lr: 2.45724e-05 [2025-03-11 06:41:07,271 INFO hook.py line 566 2389709] Train: [96/100][300/300] Data 0.001 (0.003) Batch 0.536 (0.491) Remain 00:09:49 loss: 0.4282 Lr: 2.27026e-05 [2025-03-11 06:41:07,272 INFO misc.py line 135 2389709] Train result: loss: 0.4006 [2025-03-11 06:41:07,370 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 06:42:01,914 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2825 [2025-03-11 06:42:01,973 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2654 [2025-03-11 06:42:02,008 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4642 [2025-03-11 06:42:02,060 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4328 [2025-03-11 06:42:02,100 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8642 [2025-03-11 06:42:02,163 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0866 [2025-03-11 06:42:02,225 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7912 [2025-03-11 06:42:02,260 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2267 [2025-03-11 06:42:02,305 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2254 [2025-03-11 06:42:02,350 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2571 [2025-03-11 06:42:02,398 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1620 [2025-03-11 06:42:02,432 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.3846 [2025-03-11 06:42:02,484 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.0649 [2025-03-11 06:42:02,524 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4710 [2025-03-11 06:42:02,568 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1752 [2025-03-11 06:42:02,618 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0716 [2025-03-11 06:42:02,657 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5181 [2025-03-11 06:42:02,689 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0720 [2025-03-11 06:42:02,740 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5247 [2025-03-11 06:42:02,777 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7573 [2025-03-11 06:42:02,814 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6898 [2025-03-11 06:42:02,856 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9350 [2025-03-11 06:42:02,897 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4751 [2025-03-11 06:42:02,952 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0901 [2025-03-11 06:42:02,998 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5171 [2025-03-11 06:42:03,041 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4735 [2025-03-11 06:42:03,096 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0381 [2025-03-11 06:42:03,133 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8119 [2025-03-11 06:42:03,174 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1483 [2025-03-11 06:42:03,234 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.4983 [2025-03-11 06:42:03,292 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4736 [2025-03-11 06:42:03,326 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6737 [2025-03-11 06:42:03,388 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7432 [2025-03-11 06:42:03,432 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3281 [2025-03-11 06:42:03,485 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2613 [2025-03-11 06:42:03,535 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7337 [2025-03-11 06:42:03,572 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.0997 [2025-03-11 06:42:03,602 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9868 [2025-03-11 06:42:03,670 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.3471 [2025-03-11 06:42:03,725 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3930 [2025-03-11 06:42:03,785 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3867 [2025-03-11 06:42:03,813 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4291 [2025-03-11 06:42:03,850 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3136 [2025-03-11 06:42:03,911 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8415 [2025-03-11 06:42:03,946 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.3545 [2025-03-11 06:42:03,995 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2095 [2025-03-11 06:42:04,036 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8920 [2025-03-11 06:42:04,069 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0236 [2025-03-11 06:42:04,100 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.8665 [2025-03-11 06:42:04,133 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4475 [2025-03-11 06:42:04,165 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2636 [2025-03-11 06:42:04,200 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7762 [2025-03-11 06:42:04,228 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4249 [2025-03-11 06:42:04,267 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.3147 [2025-03-11 06:42:04,305 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4836 [2025-03-11 06:42:04,350 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8620 [2025-03-11 06:42:04,384 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.4140 [2025-03-11 06:42:04,413 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7434 [2025-03-11 06:42:04,452 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9277 [2025-03-11 06:42:04,488 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5115 [2025-03-11 06:42:04,515 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7993 [2025-03-11 06:42:04,551 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1568 [2025-03-11 06:42:04,588 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1708 [2025-03-11 06:42:04,648 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9940 [2025-03-11 06:42:04,677 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4595 [2025-03-11 06:42:04,721 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.3155 [2025-03-11 06:42:04,761 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8700 [2025-03-11 06:42:04,796 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0702 [2025-03-11 06:42:04,827 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3805 [2025-03-11 06:42:04,887 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.1634 [2025-03-11 06:42:04,935 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7655 [2025-03-11 06:42:04,990 INFO hook.py line 748 2389709] Test: [72/78] Loss 2.0031 [2025-03-11 06:42:05,044 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7445 [2025-03-11 06:42:05,087 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.7450 [2025-03-11 06:42:05,138 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6356 [2025-03-11 06:42:05,166 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0481 [2025-03-11 06:42:05,225 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5427 [2025-03-11 06:42:05,252 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2877 [2025-03-11 06:42:06,467 INFO hook.py line 674 2389709] ######################################## [2025-03-11 06:42:06,468 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 06:42:06,468 INFO hook.py line 680 2389709] ######################################## [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] wall : 0.7996 0.9272 [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] chair : 0.7321 0.8666 [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] floor : 0.9600 0.9834 [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] table : 0.6416 0.7838 [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] door : 0.6706 0.7962 [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] couch : 0.7976 0.9205 [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] cabinet : 0.3852 0.5938 [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] shelf : 0.4226 0.5739 [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] desk : 0.5930 0.8052 [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] office chair : 0.1678 0.2529 [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] bed : 0.8039 0.8866 [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] pillow : 0.5649 0.7967 [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] sink : 0.6787 0.7880 [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] picture : 0.3866 0.5299 [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] window : 0.6063 0.7820 [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] toilet : 0.9518 0.9695 [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] bookshelf : 0.4782 0.6432 [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] monitor : 0.8675 0.9306 [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] curtain : 0.7246 0.8572 [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] book : 0.4586 0.7023 [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] armchair : 0.5668 0.7385 [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] coffee table : 0.6274 0.7457 [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] box : 0.3293 0.4442 [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] refrigerator : 0.6842 0.7368 [2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] lamp : 0.6854 0.8280 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] kitchen cabinet: 0.6721 0.7633 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] towel : 0.5456 0.7102 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] clothes : 0.2166 0.4012 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] tv : 0.8918 0.9327 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] nightstand : 0.7048 0.8674 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] counter : 0.3203 0.5066 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] dresser : 0.4389 0.5956 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] stool : 0.5813 0.7505 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] plant : 0.7667 0.8859 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] ceiling : 0.9309 0.9652 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] bathtub : 0.8855 0.9164 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] end table : 0.2410 0.3426 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] dining table : 0.0433 0.0634 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] keyboard : 0.4369 0.5732 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] bag : 0.2115 0.2930 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] backpack : 0.6391 0.7238 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] toilet paper : 0.4928 0.6106 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] printer : 0.4660 0.6144 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] tv stand : 0.3104 0.4045 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] whiteboard : 0.5010 0.6892 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] blanket : 0.0493 0.0725 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] shower curtain : 0.7077 0.7768 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] trash can : 0.6396 0.8435 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] closet : 0.1122 0.1598 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] stairs : 0.5008 0.6957 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] microwave : 0.5667 0.7537 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] stove : 0.6467 0.8631 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] shoe : 0.5213 0.6561 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] computer tower : 0.5463 0.7973 [2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] bottle : 0.1289 0.2580 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] ottoman : 0.3683 0.3870 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] bench : 0.4809 0.5350 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] board : 0.2152 0.3341 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] washing machine: 0.8544 0.9468 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] mirror : 0.3968 0.4779 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] copier : 0.8624 0.9449 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] sofa chair : 0.1623 0.2277 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] file cabinet : 0.4415 0.5526 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] fan : 0.3623 0.4461 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] laptop : 0.5151 0.7321 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] shower : 0.2473 0.2554 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] paper : 0.0488 0.0674 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] person : 0.3334 0.6147 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] paper towel dispenser: 0.5722 0.8541 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] oven : 0.1413 0.1668 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] blinds : 0.0006 0.0007 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] blackboard : 0.5825 0.6540 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] piano : 0.4714 0.6186 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] suitcase : 0.6454 0.8193 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] rail : 0.0398 0.0424 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] radiator : 0.6492 0.7021 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] recycling bin : 0.4955 0.6611 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] container : 0.0040 0.0073 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] wardrobe : 0.1484 0.2066 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] soap dispenser : 0.8417 0.9169 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] telephone : 0.2848 0.3911 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] bucket : 0.3578 0.5222 [2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] clock : 0.2544 0.3013 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] light : 0.0530 0.0592 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] laundry basket : 0.0326 0.0367 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] pipe : 0.0327 0.0542 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] clothes dryer : 0.6096 0.6182 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] guitar : 0.7905 0.8511 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] toilet paper holder: 0.0434 0.1262 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] column : 0.0061 0.0067 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] ladder : 0.5663 0.6252 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] bathroom stall : 0.4301 0.4877 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] shower wall : 0.4567 0.6051 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] cup : 0.1872 0.3137 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] jacket : 0.1918 0.2535 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] storage bin : 0.0004 0.0005 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] coffee maker : 0.8098 0.9478 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] dishwasher : 0.2654 0.3750 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] paper towel roll: 0.3355 0.3931 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] mat : 0.2095 0.2230 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] windowsill : 0.1028 0.1116 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] bar : 0.1788 0.3157 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] toaster : 0.4628 0.8293 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] bulletin board : 0.2434 0.4201 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] ironing board : 0.1517 0.1682 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] fireplace : 0.6123 0.6408 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] soap dish : 0.3656 0.5135 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] kitchen counter: 0.5475 0.6593 [2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] doorframe : 0.4295 0.6670 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4869 0.5941 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] mini fridge : 0.3333 0.3611 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] fire extinguisher: 0.2371 0.2820 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] ball : 0.5572 0.7163 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] shower curtain rod: 0.3950 0.9175 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] water cooler : 0.7181 0.8759 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] paper cutter : 0.2754 0.3216 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] tray : 0.0781 0.1019 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] shower door : 0.2565 0.3117 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] ledge : 0.0471 0.0680 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] mouse : 0.1246 0.4934 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7642 0.8293 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] cart : 0.1709 0.1962 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] scale : 0.4661 0.9361 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] tissue box : 0.2250 0.2792 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] light switch : 0.0255 0.0590 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] power outlet : 0.2571 0.3625 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] decoration : 0.2579 0.3830 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] projector : 0.0778 1.0000 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] closet door : 0.0867 0.0974 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] vacuum cleaner : 0.8637 0.9811 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] plunger : 0.5656 0.9776 [2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] headphones : 0.0197 0.0259 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] dish rack : 0.8117 0.9761 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] broom : 0.0815 0.1088 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] range hood : 0.7775 0.9067 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] dustpan : 0.0958 0.1855 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] handicap bar : 0.0237 0.3068 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] vent : 0.2120 0.2322 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] shower floor : 0.8812 0.9950 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] mailbox : 0.4648 0.4804 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] bowl : 0.1985 0.2372 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] paper bag : 0.1149 0.1495 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] divider : 0.4618 0.5098 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] bathroom counter: 0.2577 0.3062 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] object : 0.0456 0.0798 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] bathroom vanity: 0.5511 0.8203 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] closet wall : 0.0217 0.0294 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] laundry hamper : 0.0180 0.0192 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] bathroom stall door: 0.6224 0.7763 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] ceiling light : 0.4186 0.5387 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] trash bin : 0.2481 0.3233 [2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] dumbbell : 0.6820 0.9780 [2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] stair rail : 0.1375 0.1610 [2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] tube : 0.0892 0.1099 [2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] bathroom cabinet: 0.5822 0.7522 [2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] closet rod : 0.5967 0.8512 [2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] coffee kettle : 0.4265 0.4918 [2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] shower head : 0.3140 0.3952 [2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] case of water bottles: 0.1107 0.1111 [2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] coat rack : 0.0102 0.0264 [2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] fire alarm : 0.0067 0.0227 [2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] poster : 0.0001 0.0002 [2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] mattress : 0.0129 0.0129 [2025-03-11 06:42:06,474 INFO hook.py line 690 2389709] ######################################## [2025-03-11 06:42:06,474 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3288/0.4206/0.8284. [2025-03-11 06:42:06,475 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 06:42:06,495 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.3288 [2025-03-11 06:42:06,495 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3288 [2025-03-11 06:42:06,496 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 06:42:37,316 INFO hook.py line 566 2389709] Train: [97/100][50/300] Data 0.002 (0.002) Batch 0.472 (0.495) Remain 00:09:29 loss: 0.4135 Lr: 2.09080e-05 [2025-03-11 06:43:02,009 INFO hook.py line 566 2389709] Train: [97/100][100/300] Data 0.002 (0.002) Batch 0.533 (0.494) Remain 00:09:03 loss: 0.2534 Lr: 1.91888e-05 [2025-03-11 06:43:26,936 INFO hook.py line 566 2389709] Train: [97/100][150/300] Data 0.002 (0.002) Batch 0.459 (0.496) Remain 00:08:40 loss: 0.2620 Lr: 1.75449e-05 [2025-03-11 06:43:51,293 INFO hook.py line 566 2389709] Train: [97/100][200/300] Data 0.003 (0.002) Batch 0.450 (0.494) Remain 00:08:13 loss: 0.6191 Lr: 1.59764e-05 [2025-03-11 06:44:16,189 INFO hook.py line 566 2389709] Train: [97/100][250/300] Data 0.004 (0.002) Batch 0.494 (0.494) Remain 00:07:49 loss: 0.6711 Lr: 1.44834e-05 [2025-03-11 06:44:39,981 INFO hook.py line 566 2389709] Train: [97/100][300/300] Data 0.002 (0.002) Batch 0.447 (0.491) Remain 00:07:22 loss: 0.2966 Lr: 1.30659e-05 [2025-03-11 06:44:39,981 INFO misc.py line 135 2389709] Train result: loss: 0.3921 [2025-03-11 06:44:40,077 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 06:45:28,373 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2600 [2025-03-11 06:45:28,421 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2667 [2025-03-11 06:45:28,455 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4652 [2025-03-11 06:45:28,505 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4507 [2025-03-11 06:45:28,543 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8592 [2025-03-11 06:45:28,602 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1158 [2025-03-11 06:45:28,660 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8202 [2025-03-11 06:45:28,691 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2610 [2025-03-11 06:45:28,740 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2528 [2025-03-11 06:45:28,777 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2236 [2025-03-11 06:45:28,828 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1943 [2025-03-11 06:45:28,863 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.4093 [2025-03-11 06:45:28,914 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.0277 [2025-03-11 06:45:28,955 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4484 [2025-03-11 06:45:29,000 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2250 [2025-03-11 06:45:29,045 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0698 [2025-03-11 06:45:29,083 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5192 [2025-03-11 06:45:29,120 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0792 [2025-03-11 06:45:29,168 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5888 [2025-03-11 06:45:29,204 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7933 [2025-03-11 06:45:29,240 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7051 [2025-03-11 06:45:29,291 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9479 [2025-03-11 06:45:29,324 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5309 [2025-03-11 06:45:29,378 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1209 [2025-03-11 06:45:29,423 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5486 [2025-03-11 06:45:29,466 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4389 [2025-03-11 06:45:29,524 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0400 [2025-03-11 06:45:29,561 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8124 [2025-03-11 06:45:29,591 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1482 [2025-03-11 06:45:29,648 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5056 [2025-03-11 06:45:29,708 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4677 [2025-03-11 06:45:29,747 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6556 [2025-03-11 06:45:29,808 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7376 [2025-03-11 06:45:29,847 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.2877 [2025-03-11 06:45:29,900 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3006 [2025-03-11 06:45:29,950 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7727 [2025-03-11 06:45:29,995 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.1353 [2025-03-11 06:45:30,028 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9938 [2025-03-11 06:45:30,094 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.3836 [2025-03-11 06:45:30,155 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3883 [2025-03-11 06:45:30,202 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3889 [2025-03-11 06:45:30,241 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4277 [2025-03-11 06:45:30,280 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2133 [2025-03-11 06:45:30,341 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8538 [2025-03-11 06:45:30,373 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4334 [2025-03-11 06:45:30,420 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2141 [2025-03-11 06:45:30,462 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9233 [2025-03-11 06:45:30,495 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0142 [2025-03-11 06:45:30,527 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.9513 [2025-03-11 06:45:30,559 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5112 [2025-03-11 06:45:30,591 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3126 [2025-03-11 06:45:30,625 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6719 [2025-03-11 06:45:30,654 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4576 [2025-03-11 06:45:30,693 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2884 [2025-03-11 06:45:30,731 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4780 [2025-03-11 06:45:30,776 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9354 [2025-03-11 06:45:30,809 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.2706 [2025-03-11 06:45:30,837 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7390 [2025-03-11 06:45:30,876 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9447 [2025-03-11 06:45:30,911 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5241 [2025-03-11 06:45:30,938 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7912 [2025-03-11 06:45:30,974 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1400 [2025-03-11 06:45:31,010 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2884 [2025-03-11 06:45:31,070 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.0013 [2025-03-11 06:45:31,097 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4263 [2025-03-11 06:45:31,140 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.3673 [2025-03-11 06:45:31,180 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8456 [2025-03-11 06:45:31,216 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0738 [2025-03-11 06:45:31,246 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3974 [2025-03-11 06:45:31,307 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.1207 [2025-03-11 06:45:31,354 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8008 [2025-03-11 06:45:31,409 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9867 [2025-03-11 06:45:31,463 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7699 [2025-03-11 06:45:31,505 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.8062 [2025-03-11 06:45:31,557 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6511 [2025-03-11 06:45:31,584 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9957 [2025-03-11 06:45:31,643 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5503 [2025-03-11 06:45:31,670 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2682 [2025-03-11 06:45:32,894 INFO hook.py line 674 2389709] ######################################## [2025-03-11 06:45:32,894 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 06:45:32,894 INFO hook.py line 680 2389709] ######################################## [2025-03-11 06:45:32,894 INFO hook.py line 689 2389709] wall : 0.7990 0.9271 [2025-03-11 06:45:32,894 INFO hook.py line 689 2389709] chair : 0.7345 0.8705 [2025-03-11 06:45:32,894 INFO hook.py line 689 2389709] floor : 0.9601 0.9836 [2025-03-11 06:45:32,894 INFO hook.py line 689 2389709] table : 0.6443 0.7885 [2025-03-11 06:45:32,894 INFO hook.py line 689 2389709] door : 0.6694 0.7961 [2025-03-11 06:45:32,894 INFO hook.py line 689 2389709] couch : 0.7971 0.9208 [2025-03-11 06:45:32,894 INFO hook.py line 689 2389709] cabinet : 0.3855 0.5876 [2025-03-11 06:45:32,894 INFO hook.py line 689 2389709] shelf : 0.4168 0.5607 [2025-03-11 06:45:32,894 INFO hook.py line 689 2389709] desk : 0.5868 0.7969 [2025-03-11 06:45:32,894 INFO hook.py line 689 2389709] office chair : 0.1757 0.2590 [2025-03-11 06:45:32,894 INFO hook.py line 689 2389709] bed : 0.7998 0.8849 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] pillow : 0.5685 0.7887 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] sink : 0.6780 0.7883 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] picture : 0.3892 0.5277 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] window : 0.6038 0.7774 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] toilet : 0.9507 0.9694 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] bookshelf : 0.4783 0.6482 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] monitor : 0.8673 0.9286 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] curtain : 0.7253 0.8544 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] book : 0.4569 0.7115 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] armchair : 0.5653 0.7414 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] coffee table : 0.6306 0.7545 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] box : 0.3321 0.4425 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] refrigerator : 0.6882 0.7403 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] lamp : 0.6804 0.8268 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] kitchen cabinet: 0.6653 0.7571 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] towel : 0.5433 0.7055 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] clothes : 0.2209 0.4144 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] tv : 0.8923 0.9341 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] nightstand : 0.6936 0.8773 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] counter : 0.3139 0.4940 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] dresser : 0.4302 0.5790 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] stool : 0.5792 0.7443 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] plant : 0.7541 0.8874 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] ceiling : 0.9311 0.9650 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] bathtub : 0.8835 0.9166 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] end table : 0.2622 0.3675 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] dining table : 0.0396 0.0484 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] keyboard : 0.4252 0.5620 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] bag : 0.2090 0.2928 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] backpack : 0.6377 0.7120 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] toilet paper : 0.4969 0.6115 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] printer : 0.4764 0.6062 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] tv stand : 0.3255 0.4335 [2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] whiteboard : 0.5078 0.7054 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] blanket : 0.0457 0.0718 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] shower curtain : 0.7048 0.7703 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] trash can : 0.6376 0.8495 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] closet : 0.1132 0.1639 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] stairs : 0.4982 0.6926 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] microwave : 0.5563 0.7476 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] stove : 0.6443 0.8513 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] shoe : 0.5224 0.6537 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] computer tower : 0.5487 0.7984 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] bottle : 0.1006 0.2013 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] bin : 0.0005 0.0010 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] ottoman : 0.3734 0.3948 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] bench : 0.4344 0.4878 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] board : 0.2131 0.3127 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] washing machine: 0.8594 0.9462 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] mirror : 0.3992 0.4882 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] copier : 0.8615 0.9466 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] sofa chair : 0.1349 0.1843 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] file cabinet : 0.4468 0.5588 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] fan : 0.3700 0.4409 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] laptop : 0.5318 0.7474 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] shower : 0.2571 0.2700 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] paper : 0.0321 0.0450 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] person : 0.3261 0.5918 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] paper towel dispenser: 0.5625 0.8468 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] oven : 0.1644 0.1903 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] blinds : 0.0020 0.0023 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] blackboard : 0.5831 0.6604 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] piano : 0.4897 0.6394 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] suitcase : 0.6453 0.8120 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] rail : 0.0383 0.0409 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] radiator : 0.6631 0.7189 [2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] recycling bin : 0.4964 0.6509 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] container : 0.0041 0.0085 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] wardrobe : 0.1550 0.2155 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] soap dispenser : 0.8312 0.9116 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] telephone : 0.2889 0.3948 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] bucket : 0.3772 0.5364 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] clock : 0.2523 0.2959 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] light : 0.0632 0.0714 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] laundry basket : 0.0457 0.0511 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] pipe : 0.0339 0.0543 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] clothes dryer : 0.6421 0.6523 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] guitar : 0.7383 0.8022 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] toilet paper holder: 0.0392 0.1407 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] column : 0.0036 0.0041 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] ladder : 0.5641 0.6085 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] bathroom stall : 0.4333 0.4993 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] shower wall : 0.4407 0.5815 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] cup : 0.1689 0.2847 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] jacket : 0.2015 0.2689 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] storage bin : 0.0001 0.0002 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] coffee maker : 0.7952 0.9559 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] dishwasher : 0.2625 0.3919 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] paper towel roll: 0.3352 0.3924 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] mat : 0.1848 0.1968 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] windowsill : 0.1051 0.1158 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] bar : 0.1965 0.3400 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] toaster : 0.4420 0.8041 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] bulletin board : 0.2412 0.4044 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] ironing board : 0.1645 0.1834 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] fireplace : 0.6459 0.6745 [2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] soap dish : 0.3668 0.5132 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] kitchen counter: 0.5440 0.6637 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] doorframe : 0.4281 0.6592 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4616 0.5670 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] mini fridge : 0.3422 0.3708 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] fire extinguisher: 0.2277 0.2619 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] ball : 0.5186 0.7552 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] shower curtain rod: 0.3957 0.9156 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] water cooler : 0.7336 0.8633 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] paper cutter : 0.2872 0.3395 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] tray : 0.0740 0.1047 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] shower door : 0.2494 0.3019 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] ledge : 0.0477 0.0683 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] mouse : 0.1357 0.5307 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7356 0.8191 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] cart : 0.1705 0.1967 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] scale : 0.4717 0.9348 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] tissue box : 0.2239 0.2821 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] light switch : 0.0295 0.0650 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] power outlet : 0.2574 0.3293 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] decoration : 0.2431 0.3759 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] projector : 0.0700 1.0000 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] closet door : 0.0820 0.0918 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] vacuum cleaner : 0.8583 0.9846 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] plunger : 0.5558 0.9676 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] headphones : 0.0207 0.0278 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] dish rack : 0.8062 0.9713 [2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] broom : 0.0913 0.1234 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] range hood : 0.7523 0.9089 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] dustpan : 0.0901 0.1757 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] handicap bar : 0.0278 0.3563 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] vent : 0.1714 0.1929 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] shower floor : 0.8820 0.9939 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] mailbox : 0.4729 0.4901 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] bowl : 0.2216 0.2760 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] paper bag : 0.1262 0.1698 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] divider : 0.4579 0.5091 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] bathroom counter: 0.2608 0.3076 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] object : 0.0453 0.0779 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] bathroom vanity: 0.5468 0.8176 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] closet wall : 0.0216 0.0294 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] laundry hamper : 0.0093 0.0098 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] bathroom stall door: 0.6373 0.7735 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] ceiling light : 0.4189 0.5402 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] trash bin : 0.2528 0.3227 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] dumbbell : 0.6886 0.9691 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] stair rail : 0.1270 0.1522 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] tube : 0.0681 0.0834 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] bathroom cabinet: 0.5703 0.7424 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] closet rod : 0.5681 0.8486 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] coffee kettle : 0.4825 0.5587 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] shower head : 0.3367 0.3978 [2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 06:45:32,900 INFO hook.py line 689 2389709] case of water bottles: 0.1074 0.1083 [2025-03-11 06:45:32,900 INFO hook.py line 689 2389709] coat rack : 0.0108 0.0286 [2025-03-11 06:45:32,900 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 06:45:32,900 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 06:45:32,900 INFO hook.py line 689 2389709] fire alarm : 0.0095 0.0465 [2025-03-11 06:45:32,900 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 06:45:32,900 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 06:45:32,900 INFO hook.py line 689 2389709] poster : 0.0004 0.0004 [2025-03-11 06:45:32,900 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 06:45:32,900 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 06:45:32,900 INFO hook.py line 689 2389709] mattress : 0.0094 0.0094 [2025-03-11 06:45:32,900 INFO hook.py line 690 2389709] ######################################## [2025-03-11 06:45:32,900 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3279/0.4204/0.8283. [2025-03-11 06:45:32,900 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 06:45:32,919 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3288 [2025-03-11 06:45:32,919 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 06:46:03,881 INFO hook.py line 566 2389709] Train: [98/100][50/300] Data 0.002 (0.002) Batch 0.445 (0.491) Remain 00:06:57 loss: 0.4081 Lr: 1.17240e-05 [2025-03-11 06:46:27,696 INFO hook.py line 566 2389709] Train: [98/100][100/300] Data 0.004 (0.002) Batch 0.512 (0.483) Remain 00:06:26 loss: 0.3950 Lr: 1.04577e-05 [2025-03-11 06:46:52,605 INFO hook.py line 566 2389709] Train: [98/100][150/300] Data 0.002 (0.002) Batch 0.478 (0.488) Remain 00:06:06 loss: 0.3273 Lr: 9.26698e-06 [2025-03-11 06:47:17,249 INFO hook.py line 566 2389709] Train: [98/100][200/300] Data 0.003 (0.002) Batch 0.486 (0.490) Remain 00:05:42 loss: 0.4077 Lr: 8.15194e-06 [2025-03-11 06:47:41,941 INFO hook.py line 566 2389709] Train: [98/100][250/300] Data 0.002 (0.002) Batch 0.460 (0.490) Remain 00:05:18 loss: 0.4625 Lr: 7.11261e-06 [2025-03-11 06:48:05,790 INFO hook.py line 566 2389709] Train: [98/100][300/300] Data 0.001 (0.002) Batch 0.432 (0.488) Remain 00:04:52 loss: 0.3936 Lr: 6.16754e-06 [2025-03-11 06:48:05,791 INFO misc.py line 135 2389709] Train result: loss: 0.3965 [2025-03-11 06:48:05,884 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 06:48:54,263 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2723 [2025-03-11 06:48:54,310 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2840 [2025-03-11 06:48:54,348 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4534 [2025-03-11 06:48:54,411 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4361 [2025-03-11 06:48:54,461 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8523 [2025-03-11 06:48:54,527 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0834 [2025-03-11 06:48:54,579 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8065 [2025-03-11 06:48:54,613 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2352 [2025-03-11 06:48:54,662 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2145 [2025-03-11 06:48:54,701 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2607 [2025-03-11 06:48:54,750 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2004 [2025-03-11 06:48:54,788 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.3306 [2025-03-11 06:48:54,840 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.1382 [2025-03-11 06:48:54,884 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4999 [2025-03-11 06:48:54,922 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2495 [2025-03-11 06:48:54,974 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0692 [2025-03-11 06:48:55,013 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5299 [2025-03-11 06:48:55,048 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1278 [2025-03-11 06:48:55,096 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5012 [2025-03-11 06:48:55,134 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7747 [2025-03-11 06:48:55,169 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6807 [2025-03-11 06:48:55,209 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9504 [2025-03-11 06:48:55,240 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5041 [2025-03-11 06:48:55,291 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0909 [2025-03-11 06:48:55,333 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5093 [2025-03-11 06:48:55,380 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4686 [2025-03-11 06:48:55,437 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0134 [2025-03-11 06:48:55,477 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8217 [2025-03-11 06:48:55,507 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1367 [2025-03-11 06:48:55,566 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5295 [2025-03-11 06:48:55,624 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4634 [2025-03-11 06:48:55,663 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6747 [2025-03-11 06:48:55,726 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7494 [2025-03-11 06:48:55,769 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3076 [2025-03-11 06:48:55,809 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2927 [2025-03-11 06:48:55,858 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7710 [2025-03-11 06:48:55,900 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.1454 [2025-03-11 06:48:55,932 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9886 [2025-03-11 06:48:56,002 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.3583 [2025-03-11 06:48:56,051 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3866 [2025-03-11 06:48:56,099 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4133 [2025-03-11 06:48:56,132 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4296 [2025-03-11 06:48:56,173 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1806 [2025-03-11 06:48:56,232 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8630 [2025-03-11 06:48:56,273 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4596 [2025-03-11 06:48:56,323 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2108 [2025-03-11 06:48:56,366 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8382 [2025-03-11 06:48:56,406 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0349 [2025-03-11 06:48:56,441 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.9332 [2025-03-11 06:48:56,479 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5150 [2025-03-11 06:48:56,514 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3245 [2025-03-11 06:48:56,551 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7256 [2025-03-11 06:48:56,583 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4142 [2025-03-11 06:48:56,622 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2596 [2025-03-11 06:48:56,664 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4869 [2025-03-11 06:48:56,705 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9060 [2025-03-11 06:48:56,742 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.5156 [2025-03-11 06:48:56,772 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7431 [2025-03-11 06:48:56,813 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9114 [2025-03-11 06:48:56,854 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5269 [2025-03-11 06:48:56,883 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7884 [2025-03-11 06:48:56,923 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0832 [2025-03-11 06:48:56,960 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2585 [2025-03-11 06:48:57,017 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9719 [2025-03-11 06:48:57,049 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4155 [2025-03-11 06:48:57,093 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.3145 [2025-03-11 06:48:57,132 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8298 [2025-03-11 06:48:57,173 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0279 [2025-03-11 06:48:57,206 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3795 [2025-03-11 06:48:57,267 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0359 [2025-03-11 06:48:57,311 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.9181 [2025-03-11 06:48:57,369 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9628 [2025-03-11 06:48:57,426 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7611 [2025-03-11 06:48:57,469 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.8456 [2025-03-11 06:48:57,521 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6572 [2025-03-11 06:48:57,549 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0207 [2025-03-11 06:48:57,612 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5844 [2025-03-11 06:48:57,638 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3478 [2025-03-11 06:48:58,806 INFO hook.py line 674 2389709] ######################################## [2025-03-11 06:48:58,806 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 06:48:58,806 INFO hook.py line 680 2389709] ######################################## [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] wall : 0.7988 0.9288 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] chair : 0.7353 0.8687 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] floor : 0.9602 0.9835 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] table : 0.6471 0.7858 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] door : 0.6694 0.7905 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] couch : 0.7908 0.9206 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] cabinet : 0.3856 0.5915 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] shelf : 0.4209 0.5749 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] desk : 0.5909 0.8039 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] office chair : 0.1714 0.2523 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] bed : 0.8004 0.8858 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] pillow : 0.5719 0.7940 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] sink : 0.6742 0.7821 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] picture : 0.3910 0.5294 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] window : 0.6043 0.7728 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] toilet : 0.9503 0.9703 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] bookshelf : 0.4802 0.6441 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] monitor : 0.8695 0.9302 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] curtain : 0.7267 0.8608 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] book : 0.4601 0.7083 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] armchair : 0.5651 0.7445 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] coffee table : 0.6285 0.7436 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] box : 0.3411 0.4506 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] refrigerator : 0.6923 0.7414 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] lamp : 0.6864 0.8334 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] kitchen cabinet: 0.6687 0.7612 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] towel : 0.5355 0.6955 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] clothes : 0.2120 0.4096 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] tv : 0.8938 0.9346 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] nightstand : 0.7030 0.8857 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] counter : 0.3137 0.4967 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] dresser : 0.4315 0.5867 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] stool : 0.5791 0.7431 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] plant : 0.7538 0.8909 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] ceiling : 0.9312 0.9649 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] bathtub : 0.8863 0.9180 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] end table : 0.2793 0.4058 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] dining table : 0.0404 0.0501 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] keyboard : 0.4335 0.5779 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] bag : 0.2103 0.2910 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] backpack : 0.6387 0.7133 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] toilet paper : 0.5047 0.6112 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] printer : 0.4624 0.5990 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] tv stand : 0.3193 0.4127 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] whiteboard : 0.5158 0.6970 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] blanket : 0.0493 0.0760 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] shower curtain : 0.7081 0.7760 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] trash can : 0.6441 0.8494 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] closet : 0.1125 0.1619 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] stairs : 0.4960 0.6952 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] microwave : 0.5753 0.7544 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] stove : 0.6426 0.8432 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] shoe : 0.5250 0.6669 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] computer tower : 0.5529 0.8022 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] bottle : 0.1417 0.2710 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] bin : 0.0008 0.0015 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] ottoman : 0.3606 0.3810 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] bench : 0.4579 0.5087 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] board : 0.2171 0.3237 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] washing machine: 0.8552 0.9457 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] mirror : 0.3944 0.4854 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] copier : 0.8620 0.9463 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] sofa chair : 0.1463 0.2050 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] file cabinet : 0.4560 0.5755 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] fan : 0.3537 0.4408 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] laptop : 0.5410 0.7495 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] shower : 0.2605 0.2707 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] paper : 0.0536 0.0766 [2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] person : 0.3214 0.6100 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] paper towel dispenser: 0.5724 0.8425 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] oven : 0.1561 0.1826 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] blinds : 0.0003 0.0004 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] blackboard : 0.5880 0.6575 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] piano : 0.4635 0.6193 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] suitcase : 0.6365 0.8097 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] rail : 0.0414 0.0442 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] radiator : 0.6548 0.7118 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] recycling bin : 0.5001 0.6585 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] container : 0.0047 0.0094 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] wardrobe : 0.1413 0.1945 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] soap dispenser : 0.8318 0.9133 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] telephone : 0.2893 0.3955 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] bucket : 0.3701 0.5007 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] clock : 0.2535 0.2985 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] light : 0.0597 0.0667 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] laundry basket : 0.0291 0.0330 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] pipe : 0.0299 0.0475 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] clothes dryer : 0.6230 0.6336 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] guitar : 0.6986 0.7639 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] toilet paper holder: 0.0491 0.1657 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] column : 0.0018 0.0021 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] ladder : 0.5813 0.6344 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] bathroom stall : 0.4312 0.4949 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] shower wall : 0.4450 0.5822 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] cup : 0.1858 0.3195 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] jacket : 0.1924 0.2532 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] storage bin : 0.0001 0.0002 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] coffee maker : 0.7890 0.9456 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] dishwasher : 0.2828 0.3992 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] paper towel roll: 0.3329 0.3926 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] mat : 0.1893 0.2015 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] windowsill : 0.1099 0.1205 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] bar : 0.1843 0.3196 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] toaster : 0.4824 0.8233 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] bulletin board : 0.2399 0.4008 [2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] ironing board : 0.1611 0.1792 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] fireplace : 0.6364 0.6655 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] soap dish : 0.3638 0.5094 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] kitchen counter: 0.5431 0.6623 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] doorframe : 0.4291 0.6548 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4693 0.5725 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] mini fridge : 0.3290 0.3515 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] fire extinguisher: 0.2367 0.2667 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] ball : 0.5424 0.7461 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] shower curtain rod: 0.3876 0.9177 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] water cooler : 0.6796 0.8278 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] paper cutter : 0.2889 0.3354 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] tray : 0.0821 0.1119 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] shower door : 0.2444 0.3011 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] ledge : 0.0514 0.0724 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] mouse : 0.1388 0.5625 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7493 0.8231 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] cart : 0.1619 0.1848 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] scale : 0.4856 0.9459 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] tissue box : 0.2297 0.2847 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] light switch : 0.0229 0.0515 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] power outlet : 0.2657 0.3313 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] decoration : 0.2429 0.3660 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] projector : 0.0740 1.0000 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] closet door : 0.0723 0.0811 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] vacuum cleaner : 0.8447 0.9823 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] plunger : 0.5798 0.9839 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] headphones : 0.0223 0.0298 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] dish rack : 0.8212 0.9684 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] broom : 0.0822 0.1114 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] range hood : 0.7526 0.9068 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] dustpan : 0.0814 0.1761 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] handicap bar : 0.0185 0.2330 [2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] vent : 0.2199 0.2384 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] shower floor : 0.8917 0.9950 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] mailbox : 0.4665 0.4849 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] bowl : 0.2015 0.2522 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] paper bag : 0.0846 0.1090 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] divider : 0.4684 0.5212 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] bathroom counter: 0.2596 0.3076 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] object : 0.0443 0.0769 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] bathroom vanity: 0.5460 0.8201 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] closet wall : 0.0215 0.0294 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] laundry hamper : 0.0355 0.0379 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] bathroom stall door: 0.6466 0.7840 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] ceiling light : 0.4176 0.5385 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] trash bin : 0.2433 0.3112 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] dumbbell : 0.7206 0.9781 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] stair rail : 0.1329 0.1544 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] tube : 0.0760 0.0971 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] bathroom cabinet: 0.5608 0.7262 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] closet rod : 0.5161 0.8341 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] coffee kettle : 0.4270 0.4648 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] shower head : 0.3101 0.3811 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] case of water bottles: 0.1198 0.1214 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] coat rack : 0.0050 0.0143 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] poster : 0.0004 0.0004 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] mattress : 0.0105 0.0106 [2025-03-11 06:48:58,811 INFO hook.py line 690 2389709] ######################################## [2025-03-11 06:48:58,811 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3281/0.4194/0.8286. [2025-03-11 06:48:58,812 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 06:48:58,835 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3288 [2025-03-11 06:48:58,835 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 06:49:29,807 INFO hook.py line 566 2389709] Train: [99/100][50/300] Data 0.002 (0.002) Batch 0.533 (0.495) Remain 00:04:32 loss: 0.4692 Lr: 5.27820e-06 [2025-03-11 06:49:54,047 INFO hook.py line 566 2389709] Train: [99/100][100/300] Data 0.002 (0.002) Batch 0.470 (0.490) Remain 00:04:04 loss: 0.4658 Lr: 4.46464e-06 [2025-03-11 06:50:18,388 INFO hook.py line 566 2389709] Train: [99/100][150/300] Data 0.002 (0.002) Batch 0.547 (0.489) Remain 00:03:39 loss: 0.3419 Lr: 3.72690e-06 [2025-03-11 06:50:42,940 INFO hook.py line 566 2389709] Train: [99/100][200/300] Data 0.003 (0.002) Batch 0.522 (0.489) Remain 00:03:15 loss: 0.3335 Lr: 3.06499e-06 [2025-03-11 06:51:07,906 INFO hook.py line 566 2389709] Train: [99/100][250/300] Data 0.002 (0.002) Batch 0.497 (0.491) Remain 00:02:51 loss: 0.2972 Lr: 2.47894e-06 [2025-03-11 06:51:31,825 INFO hook.py line 566 2389709] Train: [99/100][300/300] Data 0.002 (0.002) Batch 0.565 (0.489) Remain 00:02:26 loss: 0.7158 Lr: 1.96877e-06 [2025-03-11 06:51:31,825 INFO misc.py line 135 2389709] Train result: loss: 0.3912 [2025-03-11 06:51:31,923 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 06:52:24,258 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2695 [2025-03-11 06:52:24,299 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2755 [2025-03-11 06:52:24,334 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4047 [2025-03-11 06:52:24,389 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4439 [2025-03-11 06:52:24,428 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8418 [2025-03-11 06:52:24,487 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1049 [2025-03-11 06:52:24,539 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8088 [2025-03-11 06:52:24,572 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2505 [2025-03-11 06:52:24,617 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2281 [2025-03-11 06:52:24,653 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2161 [2025-03-11 06:52:24,700 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1906 [2025-03-11 06:52:24,741 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.3418 [2025-03-11 06:52:24,789 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.0897 [2025-03-11 06:52:24,844 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.5015 [2025-03-11 06:52:24,888 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2508 [2025-03-11 06:52:24,940 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0694 [2025-03-11 06:52:24,980 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5405 [2025-03-11 06:52:25,018 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0883 [2025-03-11 06:52:25,065 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5542 [2025-03-11 06:52:25,098 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7925 [2025-03-11 06:52:25,132 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6848 [2025-03-11 06:52:25,183 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9698 [2025-03-11 06:52:25,215 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4803 [2025-03-11 06:52:25,263 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0924 [2025-03-11 06:52:25,311 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5266 [2025-03-11 06:52:25,360 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5216 [2025-03-11 06:52:25,413 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0267 [2025-03-11 06:52:25,454 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8281 [2025-03-11 06:52:25,486 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1424 [2025-03-11 06:52:25,541 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5805 [2025-03-11 06:52:25,601 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4966 [2025-03-11 06:52:25,642 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6102 [2025-03-11 06:52:25,700 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7372 [2025-03-11 06:52:25,755 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3378 [2025-03-11 06:52:25,795 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3117 [2025-03-11 06:52:25,835 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7710 [2025-03-11 06:52:25,872 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2081 [2025-03-11 06:52:25,916 INFO hook.py line 748 2389709] Test: [38/78] Loss 1.0202 [2025-03-11 06:52:25,989 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.3968 [2025-03-11 06:52:26,036 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3969 [2025-03-11 06:52:26,081 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4013 [2025-03-11 06:52:26,110 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4247 [2025-03-11 06:52:26,150 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2063 [2025-03-11 06:52:26,223 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8591 [2025-03-11 06:52:26,259 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4254 [2025-03-11 06:52:26,312 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2215 [2025-03-11 06:52:26,350 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8463 [2025-03-11 06:52:26,389 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0080 [2025-03-11 06:52:26,424 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.9446 [2025-03-11 06:52:26,461 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5147 [2025-03-11 06:52:26,490 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3142 [2025-03-11 06:52:26,529 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6993 [2025-03-11 06:52:26,557 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4242 [2025-03-11 06:52:26,595 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2746 [2025-03-11 06:52:26,637 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4882 [2025-03-11 06:52:26,677 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8960 [2025-03-11 06:52:26,714 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.3531 [2025-03-11 06:52:26,743 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7542 [2025-03-11 06:52:26,785 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9468 [2025-03-11 06:52:26,820 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5238 [2025-03-11 06:52:26,847 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7966 [2025-03-11 06:52:26,881 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1171 [2025-03-11 06:52:26,922 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2528 [2025-03-11 06:52:26,978 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.0143 [2025-03-11 06:52:27,006 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4648 [2025-03-11 06:52:27,053 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.3753 [2025-03-11 06:52:27,096 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8558 [2025-03-11 06:52:27,134 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0613 [2025-03-11 06:52:27,169 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4013 [2025-03-11 06:52:27,233 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.1353 [2025-03-11 06:52:27,277 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8345 [2025-03-11 06:52:27,330 INFO hook.py line 748 2389709] Test: [72/78] Loss 2.0231 [2025-03-11 06:52:27,382 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7535 [2025-03-11 06:52:27,429 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.7767 [2025-03-11 06:52:27,483 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6590 [2025-03-11 06:52:27,515 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0169 [2025-03-11 06:52:27,573 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5476 [2025-03-11 06:52:27,603 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3305 [2025-03-11 06:52:28,900 INFO hook.py line 674 2389709] ######################################## [2025-03-11 06:52:28,900 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 06:52:28,900 INFO hook.py line 680 2389709] ######################################## [2025-03-11 06:52:28,900 INFO hook.py line 689 2389709] wall : 0.7991 0.9294 [2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] chair : 0.7345 0.8667 [2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] floor : 0.9602 0.9835 [2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] table : 0.6450 0.7863 [2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] door : 0.6721 0.7945 [2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] couch : 0.7967 0.9188 [2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] cabinet : 0.3818 0.5889 [2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] shelf : 0.4186 0.5680 [2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] desk : 0.5909 0.8011 [2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] office chair : 0.1707 0.2549 [2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] bed : 0.8001 0.8838 [2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] pillow : 0.5711 0.7920 [2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] sink : 0.6761 0.7840 [2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] picture : 0.3887 0.5281 [2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] window : 0.6059 0.7722 [2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] toilet : 0.9501 0.9683 [2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] bookshelf : 0.4811 0.6497 [2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] monitor : 0.8669 0.9296 [2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] curtain : 0.7277 0.8573 [2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] book : 0.4562 0.7059 [2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] armchair : 0.5569 0.7434 [2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] coffee table : 0.6279 0.7453 [2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] box : 0.3369 0.4479 [2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] refrigerator : 0.6805 0.7307 [2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] lamp : 0.6850 0.8277 [2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] kitchen cabinet: 0.6687 0.7597 [2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] towel : 0.5415 0.6967 [2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] clothes : 0.2122 0.4093 [2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] tv : 0.8888 0.9299 [2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] nightstand : 0.6973 0.8772 [2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] counter : 0.3215 0.5048 [2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] dresser : 0.4272 0.5819 [2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] stool : 0.5802 0.7472 [2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] plant : 0.7482 0.8882 [2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] ceiling : 0.9316 0.9654 [2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] bathtub : 0.8864 0.9190 [2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] end table : 0.2532 0.3654 [2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] dining table : 0.0323 0.0431 [2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] keyboard : 0.4275 0.5702 [2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] bag : 0.1887 0.2603 [2025-03-11 06:52:28,903 INFO hook.py line 689 2389709] backpack : 0.6393 0.7176 [2025-03-11 06:52:28,903 INFO hook.py line 689 2389709] toilet paper : 0.4984 0.6117 [2025-03-11 06:52:28,903 INFO hook.py line 689 2389709] printer : 0.4768 0.6130 [2025-03-11 06:52:28,903 INFO hook.py line 689 2389709] tv stand : 0.3196 0.4182 [2025-03-11 06:52:28,903 INFO hook.py line 689 2389709] whiteboard : 0.5081 0.6959 [2025-03-11 06:52:28,903 INFO hook.py line 689 2389709] blanket : 0.0444 0.0671 [2025-03-11 06:52:28,903 INFO hook.py line 689 2389709] shower curtain : 0.6986 0.7664 [2025-03-11 06:52:28,904 INFO hook.py line 689 2389709] trash can : 0.6375 0.8501 [2025-03-11 06:52:28,904 INFO hook.py line 689 2389709] closet : 0.1118 0.1631 [2025-03-11 06:52:28,904 INFO hook.py line 689 2389709] stairs : 0.5053 0.7015 [2025-03-11 06:52:28,904 INFO hook.py line 689 2389709] microwave : 0.5645 0.7610 [2025-03-11 06:52:28,904 INFO hook.py line 689 2389709] stove : 0.6445 0.8484 [2025-03-11 06:52:28,904 INFO hook.py line 689 2389709] shoe : 0.5199 0.6610 [2025-03-11 06:52:28,904 INFO hook.py line 689 2389709] computer tower : 0.5508 0.8051 [2025-03-11 06:52:28,904 INFO hook.py line 689 2389709] bottle : 0.1401 0.2679 [2025-03-11 06:52:28,904 INFO hook.py line 689 2389709] bin : 0.0007 0.0014 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] ottoman : 0.3613 0.3864 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] bench : 0.4449 0.4984 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] board : 0.2190 0.3258 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] washing machine: 0.8542 0.9469 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] mirror : 0.3994 0.4913 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] copier : 0.8550 0.9453 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] sofa chair : 0.1456 0.2077 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] file cabinet : 0.4477 0.5657 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] fan : 0.3559 0.4420 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] laptop : 0.5303 0.7265 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] shower : 0.2494 0.2600 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] paper : 0.0450 0.0617 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] person : 0.3150 0.5909 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] paper towel dispenser: 0.5759 0.8480 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] oven : 0.1595 0.1855 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] blinds : 0.0041 0.0046 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] blackboard : 0.5818 0.6548 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] piano : 0.4666 0.6263 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] suitcase : 0.6357 0.8073 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] rail : 0.0394 0.0420 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] radiator : 0.6546 0.7085 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] recycling bin : 0.4915 0.6547 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] container : 0.0013 0.0026 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] wardrobe : 0.1376 0.1893 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] soap dispenser : 0.8360 0.9117 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] telephone : 0.2872 0.3887 [2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] bucket : 0.3752 0.5364 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] clock : 0.2547 0.2994 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] light : 0.0555 0.0623 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] laundry basket : 0.0251 0.0279 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] pipe : 0.0387 0.0628 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] clothes dryer : 0.6321 0.6439 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] guitar : 0.6816 0.7541 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] toilet paper holder: 0.0448 0.1404 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] ladder : 0.5586 0.6045 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] bathroom stall : 0.4332 0.4960 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] shower wall : 0.4448 0.5793 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] cup : 0.1690 0.3019 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] jacket : 0.1912 0.2531 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] storage bin : 0.0051 0.0068 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] coffee maker : 0.8016 0.9770 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] dishwasher : 0.2690 0.3747 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] paper towel roll: 0.3336 0.3923 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] mat : 0.1914 0.2031 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] windowsill : 0.1094 0.1198 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] bar : 0.1879 0.3164 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] toaster : 0.3596 0.8204 [2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] bulletin board : 0.2389 0.3963 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] ironing board : 0.1593 0.1741 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] fireplace : 0.6166 0.6435 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] soap dish : 0.3709 0.5148 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] kitchen counter: 0.5418 0.6597 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] doorframe : 0.4309 0.6596 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4527 0.5557 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] mini fridge : 0.3321 0.3597 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] fire extinguisher: 0.2538 0.2852 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] ball : 0.5722 0.7100 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] shower curtain rod: 0.3996 0.9223 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] water cooler : 0.7172 0.8666 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] paper cutter : 0.2908 0.3416 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] tray : 0.0783 0.1046 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] shower door : 0.2447 0.3023 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] ledge : 0.0456 0.0661 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] mouse : 0.1358 0.5348 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7608 0.8230 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] cart : 0.1673 0.1915 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] scale : 0.4672 0.9372 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] tissue box : 0.2161 0.2695 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] light switch : 0.0290 0.0648 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] power outlet : 0.2680 0.3287 [2025-03-11 06:52:28,913 INFO hook.py line 689 2389709] decoration : 0.2653 0.3806 [2025-03-11 06:52:28,913 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 06:52:28,913 INFO hook.py line 689 2389709] projector : 0.0726 1.0000 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] closet door : 0.0758 0.0848 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] vacuum cleaner : 0.8573 0.9834 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] plunger : 0.5537 0.9838 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] headphones : 0.0219 0.0291 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] dish rack : 0.8280 0.9713 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] broom : 0.0925 0.1211 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] range hood : 0.7553 0.9086 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] dustpan : 0.0972 0.2045 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] handicap bar : 0.0253 0.3109 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] vent : 0.2003 0.2154 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] shower floor : 0.8903 0.9950 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] mailbox : 0.4641 0.4794 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] bowl : 0.2662 0.3231 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] paper bag : 0.1376 0.1837 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] divider : 0.4690 0.5231 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] bathroom counter: 0.2602 0.3069 [2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] object : 0.0463 0.0779 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] bathroom vanity: 0.5483 0.8172 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] closet wall : 0.0219 0.0299 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] laundry hamper : 0.0397 0.0424 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] bathroom stall door: 0.6296 0.7644 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] ceiling light : 0.4255 0.5387 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] trash bin : 0.2460 0.3118 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] dumbbell : 0.7235 0.9782 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] stair rail : 0.1270 0.1501 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] tube : 0.0972 0.1151 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] bathroom cabinet: 0.5765 0.7538 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] closet rod : 0.5836 0.8423 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] coffee kettle : 0.4862 0.5386 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] shower head : 0.3107 0.3801 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] case of water bottles: 0.1106 0.1113 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] coat rack : 0.0072 0.0215 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] fire alarm : 0.0142 0.0455 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] poster : 0.0001 0.0002 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] mattress : 0.0082 0.0083 [2025-03-11 06:52:28,916 INFO hook.py line 690 2389709] ######################################## [2025-03-11 06:52:28,916 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3281/0.4201/0.8283. [2025-03-11 06:52:28,916 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 06:52:28,931 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3288 [2025-03-11 06:52:28,932 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 06:52:58,945 INFO hook.py line 566 2389709] Train: [100/100][50/300] Data 0.002 (0.002) Batch 0.437 (0.501) Remain 00:02:05 loss: 0.4799 Lr: 1.53449e-06 [2025-03-11 06:53:23,235 INFO hook.py line 566 2389709] Train: [100/100][100/300] Data 0.002 (0.002) Batch 0.475 (0.493) Remain 00:01:38 loss: 0.4621 Lr: 1.17612e-06 [2025-03-11 06:53:47,816 INFO hook.py line 566 2389709] Train: [100/100][150/300] Data 0.002 (0.002) Batch 0.546 (0.493) Remain 00:01:13 loss: 0.3581 Lr: 8.93656e-07 [2025-03-11 06:54:12,236 INFO hook.py line 566 2389709] Train: [100/100][200/300] Data 0.002 (0.002) Batch 0.484 (0.492) Remain 00:00:49 loss: 0.3762 Lr: 6.87119e-07 [2025-03-11 06:54:36,824 INFO hook.py line 566 2389709] Train: [100/100][250/300] Data 0.002 (0.002) Batch 0.482 (0.492) Remain 00:00:24 loss: 0.3496 Lr: 5.56511e-07 [2025-03-11 06:55:00,530 INFO hook.py line 566 2389709] Train: [100/100][300/300] Data 0.002 (0.002) Batch 0.432 (0.489) Remain 00:00:00 loss: 0.2598 Lr: 5.01838e-07 [2025-03-11 06:55:00,530 INFO misc.py line 135 2389709] Train result: loss: 0.4005 [2025-03-11 06:55:00,631 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 06:55:52,903 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2987 [2025-03-11 06:55:52,947 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2424 [2025-03-11 06:55:52,985 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4249 [2025-03-11 06:55:53,044 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4472 [2025-03-11 06:55:53,090 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8628 [2025-03-11 06:55:53,148 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1401 [2025-03-11 06:55:53,200 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7998 [2025-03-11 06:55:53,238 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2783 [2025-03-11 06:55:53,286 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2451 [2025-03-11 06:55:53,323 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2644 [2025-03-11 06:55:53,371 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1949 [2025-03-11 06:55:53,413 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.3869 [2025-03-11 06:55:53,468 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.1424 [2025-03-11 06:55:53,509 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4566 [2025-03-11 06:55:53,549 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2048 [2025-03-11 06:55:53,598 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0719 [2025-03-11 06:55:53,637 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5466 [2025-03-11 06:55:53,676 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0612 [2025-03-11 06:55:53,722 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5336 [2025-03-11 06:55:53,758 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.8177 [2025-03-11 06:55:53,794 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6810 [2025-03-11 06:55:53,833 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9917 [2025-03-11 06:55:53,866 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4923 [2025-03-11 06:55:53,923 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1344 [2025-03-11 06:55:53,967 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4758 [2025-03-11 06:55:54,027 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4823 [2025-03-11 06:55:54,082 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0200 [2025-03-11 06:55:54,118 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8397 [2025-03-11 06:55:54,155 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1210 [2025-03-11 06:55:54,209 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5699 [2025-03-11 06:55:54,267 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4761 [2025-03-11 06:55:54,302 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6131 [2025-03-11 06:55:54,359 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7490 [2025-03-11 06:55:54,398 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3051 [2025-03-11 06:55:54,434 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3214 [2025-03-11 06:55:54,474 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7343 [2025-03-11 06:55:54,514 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2507 [2025-03-11 06:55:54,545 INFO hook.py line 748 2389709] Test: [38/78] Loss 1.0087 [2025-03-11 06:55:54,612 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.4370 [2025-03-11 06:55:54,662 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3730 [2025-03-11 06:55:54,709 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3821 [2025-03-11 06:55:54,743 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4318 [2025-03-11 06:55:54,782 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1687 [2025-03-11 06:55:54,848 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8624 [2025-03-11 06:55:54,881 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4124 [2025-03-11 06:55:54,929 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2071 [2025-03-11 06:55:54,968 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9042 [2025-03-11 06:55:55,002 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0326 [2025-03-11 06:55:55,033 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.9328 [2025-03-11 06:55:55,065 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4949 [2025-03-11 06:55:55,094 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3426 [2025-03-11 06:55:55,129 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7502 [2025-03-11 06:55:55,155 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3972 [2025-03-11 06:55:55,189 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2200 [2025-03-11 06:55:55,226 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4859 [2025-03-11 06:55:55,269 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9309 [2025-03-11 06:55:55,302 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.3560 [2025-03-11 06:55:55,326 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7406 [2025-03-11 06:55:55,365 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9209 [2025-03-11 06:55:55,401 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5033 [2025-03-11 06:55:55,426 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8034 [2025-03-11 06:55:55,461 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1103 [2025-03-11 06:55:55,497 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2048 [2025-03-11 06:55:55,555 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.0368 [2025-03-11 06:55:55,583 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3869 [2025-03-11 06:55:55,626 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.3438 [2025-03-11 06:55:55,664 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8296 [2025-03-11 06:55:55,700 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0641 [2025-03-11 06:55:55,730 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3941 [2025-03-11 06:55:55,790 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0926 [2025-03-11 06:55:55,834 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8219 [2025-03-11 06:55:55,888 INFO hook.py line 748 2389709] Test: [72/78] Loss 2.0439 [2025-03-11 06:55:55,942 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7442 [2025-03-11 06:55:55,985 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.7259 [2025-03-11 06:55:56,036 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6442 [2025-03-11 06:55:56,063 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0115 [2025-03-11 06:55:56,123 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5136 [2025-03-11 06:55:56,149 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3523 [2025-03-11 06:55:57,423 INFO hook.py line 674 2389709] ######################################## [2025-03-11 06:55:57,423 INFO hook.py line 679 2389709] what : mIoU Acc [2025-03-11 06:55:57,423 INFO hook.py line 680 2389709] ######################################## [2025-03-11 06:55:57,423 INFO hook.py line 689 2389709] wall : 0.7991 0.9285 [2025-03-11 06:55:57,423 INFO hook.py line 689 2389709] chair : 0.7338 0.8655 [2025-03-11 06:55:57,424 INFO hook.py line 689 2389709] floor : 0.9600 0.9835 [2025-03-11 06:55:57,424 INFO hook.py line 689 2389709] table : 0.6424 0.7806 [2025-03-11 06:55:57,424 INFO hook.py line 689 2389709] door : 0.6705 0.7942 [2025-03-11 06:55:57,424 INFO hook.py line 689 2389709] couch : 0.7980 0.9204 [2025-03-11 06:55:57,424 INFO hook.py line 689 2389709] cabinet : 0.3853 0.5886 [2025-03-11 06:55:57,424 INFO hook.py line 689 2389709] shelf : 0.4200 0.5693 [2025-03-11 06:55:57,424 INFO hook.py line 689 2389709] desk : 0.5900 0.8006 [2025-03-11 06:55:57,424 INFO hook.py line 689 2389709] office chair : 0.1729 0.2601 [2025-03-11 06:55:57,424 INFO hook.py line 689 2389709] bed : 0.8003 0.8863 [2025-03-11 06:55:57,424 INFO hook.py line 689 2389709] pillow : 0.5725 0.7914 [2025-03-11 06:55:57,424 INFO hook.py line 689 2389709] sink : 0.6780 0.7870 [2025-03-11 06:55:57,425 INFO hook.py line 689 2389709] picture : 0.3890 0.5258 [2025-03-11 06:55:57,425 INFO hook.py line 689 2389709] window : 0.6045 0.7744 [2025-03-11 06:55:57,425 INFO hook.py line 689 2389709] toilet : 0.9495 0.9686 [2025-03-11 06:55:57,425 INFO hook.py line 689 2389709] bookshelf : 0.4807 0.6486 [2025-03-11 06:55:57,425 INFO hook.py line 689 2389709] monitor : 0.8684 0.9316 [2025-03-11 06:55:57,425 INFO hook.py line 689 2389709] curtain : 0.7222 0.8567 [2025-03-11 06:55:57,425 INFO hook.py line 689 2389709] book : 0.4587 0.7102 [2025-03-11 06:55:57,425 INFO hook.py line 689 2389709] armchair : 0.5687 0.7543 [2025-03-11 06:55:57,425 INFO hook.py line 689 2389709] coffee table : 0.6299 0.7480 [2025-03-11 06:55:57,425 INFO hook.py line 689 2389709] box : 0.3367 0.4499 [2025-03-11 06:55:57,425 INFO hook.py line 689 2389709] refrigerator : 0.6847 0.7373 [2025-03-11 06:55:57,425 INFO hook.py line 689 2389709] lamp : 0.6857 0.8274 [2025-03-11 06:55:57,426 INFO hook.py line 689 2389709] kitchen cabinet: 0.6715 0.7619 [2025-03-11 06:55:57,426 INFO hook.py line 689 2389709] towel : 0.5569 0.7146 [2025-03-11 06:55:57,426 INFO hook.py line 689 2389709] clothes : 0.2145 0.4154 [2025-03-11 06:55:57,426 INFO hook.py line 689 2389709] tv : 0.8912 0.9317 [2025-03-11 06:55:57,426 INFO hook.py line 689 2389709] nightstand : 0.6967 0.8762 [2025-03-11 06:55:57,426 INFO hook.py line 689 2389709] counter : 0.3158 0.4988 [2025-03-11 06:55:57,426 INFO hook.py line 689 2389709] dresser : 0.4340 0.5859 [2025-03-11 06:55:57,426 INFO hook.py line 689 2389709] stool : 0.5857 0.7489 [2025-03-11 06:55:57,426 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 [2025-03-11 06:55:57,426 INFO hook.py line 689 2389709] plant : 0.7493 0.8927 [2025-03-11 06:55:57,426 INFO hook.py line 689 2389709] ceiling : 0.9314 0.9653 [2025-03-11 06:55:57,426 INFO hook.py line 689 2389709] bathtub : 0.8844 0.9185 [2025-03-11 06:55:57,427 INFO hook.py line 689 2389709] end table : 0.2632 0.3799 [2025-03-11 06:55:57,427 INFO hook.py line 689 2389709] dining table : 0.0368 0.0522 [2025-03-11 06:55:57,427 INFO hook.py line 689 2389709] keyboard : 0.4412 0.5849 [2025-03-11 06:55:57,427 INFO hook.py line 689 2389709] bag : 0.2098 0.2900 [2025-03-11 06:55:57,427 INFO hook.py line 689 2389709] backpack : 0.6442 0.7181 [2025-03-11 06:55:57,427 INFO hook.py line 689 2389709] toilet paper : 0.4996 0.6067 [2025-03-11 06:55:57,427 INFO hook.py line 689 2389709] printer : 0.4620 0.6051 [2025-03-11 06:55:57,427 INFO hook.py line 689 2389709] tv stand : 0.3155 0.4128 [2025-03-11 06:55:57,427 INFO hook.py line 689 2389709] whiteboard : 0.5170 0.7041 [2025-03-11 06:55:57,427 INFO hook.py line 689 2389709] blanket : 0.0480 0.0727 [2025-03-11 06:55:57,427 INFO hook.py line 689 2389709] shower curtain : 0.7017 0.7730 [2025-03-11 06:55:57,427 INFO hook.py line 689 2389709] trash can : 0.6385 0.8468 [2025-03-11 06:55:57,428 INFO hook.py line 689 2389709] closet : 0.1105 0.1606 [2025-03-11 06:55:57,428 INFO hook.py line 689 2389709] stairs : 0.4811 0.6947 [2025-03-11 06:55:57,428 INFO hook.py line 689 2389709] microwave : 0.5640 0.7566 [2025-03-11 06:55:57,428 INFO hook.py line 689 2389709] stove : 0.6423 0.8517 [2025-03-11 06:55:57,428 INFO hook.py line 689 2389709] shoe : 0.5156 0.6582 [2025-03-11 06:55:57,428 INFO hook.py line 689 2389709] computer tower : 0.5500 0.8006 [2025-03-11 06:55:57,428 INFO hook.py line 689 2389709] bottle : 0.1188 0.2338 [2025-03-11 06:55:57,428 INFO hook.py line 689 2389709] bin : 0.0015 0.0027 [2025-03-11 06:55:57,428 INFO hook.py line 689 2389709] ottoman : 0.3749 0.3961 [2025-03-11 06:55:57,428 INFO hook.py line 689 2389709] bench : 0.4747 0.5310 [2025-03-11 06:55:57,428 INFO hook.py line 689 2389709] board : 0.2130 0.3246 [2025-03-11 06:55:57,428 INFO hook.py line 689 2389709] washing machine: 0.8511 0.9480 [2025-03-11 06:55:57,429 INFO hook.py line 689 2389709] mirror : 0.4068 0.4921 [2025-03-11 06:55:57,429 INFO hook.py line 689 2389709] copier : 0.8610 0.9465 [2025-03-11 06:55:57,429 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 [2025-03-11 06:55:57,429 INFO hook.py line 689 2389709] sofa chair : 0.1470 0.2054 [2025-03-11 06:55:57,429 INFO hook.py line 689 2389709] file cabinet : 0.4521 0.5708 [2025-03-11 06:55:57,429 INFO hook.py line 689 2389709] fan : 0.3519 0.4435 [2025-03-11 06:55:57,429 INFO hook.py line 689 2389709] laptop : 0.5159 0.7345 [2025-03-11 06:55:57,429 INFO hook.py line 689 2389709] shower : 0.2540 0.2648 [2025-03-11 06:55:57,429 INFO hook.py line 689 2389709] paper : 0.0653 0.0899 [2025-03-11 06:55:57,429 INFO hook.py line 689 2389709] person : 0.3208 0.6050 [2025-03-11 06:55:57,429 INFO hook.py line 689 2389709] paper towel dispenser: 0.5760 0.8584 [2025-03-11 06:55:57,429 INFO hook.py line 689 2389709] oven : 0.1385 0.1642 [2025-03-11 06:55:57,430 INFO hook.py line 689 2389709] blinds : 0.0019 0.0022 [2025-03-11 06:55:57,430 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 [2025-03-11 06:55:57,430 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 [2025-03-11 06:55:57,430 INFO hook.py line 689 2389709] blackboard : 0.5874 0.6583 [2025-03-11 06:55:57,430 INFO hook.py line 689 2389709] piano : 0.4571 0.5998 [2025-03-11 06:55:57,430 INFO hook.py line 689 2389709] suitcase : 0.6439 0.8086 [2025-03-11 06:55:57,430 INFO hook.py line 689 2389709] rail : 0.0420 0.0447 [2025-03-11 06:55:57,430 INFO hook.py line 689 2389709] radiator : 0.6490 0.7026 [2025-03-11 06:55:57,430 INFO hook.py line 689 2389709] recycling bin : 0.4931 0.6549 [2025-03-11 06:55:57,430 INFO hook.py line 689 2389709] container : 0.0040 0.0078 [2025-03-11 06:55:57,430 INFO hook.py line 689 2389709] wardrobe : 0.1477 0.2048 [2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] soap dispenser : 0.8358 0.9153 [2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] telephone : 0.2931 0.3990 [2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] bucket : 0.3642 0.5330 [2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] clock : 0.2497 0.2941 [2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 [2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] light : 0.0563 0.0628 [2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] laundry basket : 0.0346 0.0389 [2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] pipe : 0.0323 0.0522 [2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] clothes dryer : 0.6237 0.6342 [2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] guitar : 0.7597 0.8165 [2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] toilet paper holder: 0.0468 0.1525 [2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 [2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 [2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] column : 0.0000 0.0000 [2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 [2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] ladder : 0.5637 0.6102 [2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] bathroom stall : 0.4308 0.4940 [2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] shower wall : 0.4442 0.5814 [2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] cup : 0.1799 0.3182 [2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] jacket : 0.1953 0.2564 [2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] storage bin : 0.0007 0.0009 [2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] coffee maker : 0.7889 0.9650 [2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] dishwasher : 0.2709 0.3952 [2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] paper towel roll: 0.3266 0.3898 [2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 [2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] mat : 0.1857 0.1975 [2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] windowsill : 0.1079 0.1183 [2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] bar : 0.1919 0.3318 [2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] toaster : 0.4690 0.8194 [2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] bulletin board : 0.2495 0.4189 [2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] ironing board : 0.1691 0.1884 [2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] fireplace : 0.6189 0.6461 [2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] soap dish : 0.3642 0.5111 [2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] kitchen counter: 0.5484 0.6659 [2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] doorframe : 0.4310 0.6613 [2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4507 0.5511 [2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] mini fridge : 0.3230 0.3576 [2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] fire extinguisher: 0.2045 0.2422 [2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] ball : 0.5366 0.7557 [2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 [2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] shower curtain rod: 0.3973 0.9161 [2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] water cooler : 0.6813 0.8641 [2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] paper cutter : 0.3021 0.3539 [2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] tray : 0.0732 0.1001 [2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] shower door : 0.2485 0.3047 [2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 [2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] ledge : 0.0481 0.0684 [2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 [2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] mouse : 0.1287 0.5221 [2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7494 0.8240 [2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 [2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] cart : 0.1693 0.1951 [2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 [2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] scale : 0.4946 0.9400 [2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] tissue box : 0.2411 0.2992 [2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] light switch : 0.0234 0.0521 [2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 [2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] power outlet : 0.2671 0.3379 [2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] decoration : 0.2874 0.4103 [2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 [2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] projector : 0.0784 1.0000 [2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] closet door : 0.0715 0.0798 [2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] vacuum cleaner : 0.8730 0.9852 [2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 [2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] plunger : 0.5750 0.9774 [2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 [2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] headphones : 0.0182 0.0260 [2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] dish rack : 0.8341 0.9693 [2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] broom : 0.0965 0.1306 [2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 [2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] range hood : 0.7519 0.9052 [2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] dustpan : 0.0912 0.1701 [2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 [2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 [2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] handicap bar : 0.0212 0.2622 [2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 [2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] vent : 0.1932 0.2123 [2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] shower floor : 0.8790 0.9978 [2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 [2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] mailbox : 0.4645 0.4808 [2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] bowl : 0.2282 0.2935 [2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] paper bag : 0.1486 0.2024 [2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 [2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 [2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 [2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] divider : 0.4621 0.5103 [2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 [2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] bathroom counter: 0.2634 0.3123 [2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] object : 0.0457 0.0769 [2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] bathroom vanity: 0.5516 0.8194 [2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] closet wall : 0.0217 0.0296 [2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] laundry hamper : 0.0114 0.0122 [2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] bathroom stall door: 0.6363 0.7767 [2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] ceiling light : 0.4208 0.5406 [2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] trash bin : 0.2485 0.3161 [2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] dumbbell : 0.6903 0.9781 [2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] stair rail : 0.1272 0.1471 [2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] tube : 0.0807 0.0978 [2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] bathroom cabinet: 0.5944 0.7714 [2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 [2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] closet rod : 0.5764 0.8471 [2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] coffee kettle : 0.4105 0.4727 [2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 [2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] shower head : 0.3111 0.3825 [2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 [2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] case of water bottles: 0.1112 0.1114 [2025-03-11 06:55:57,439 INFO hook.py line 689 2389709] coat rack : 0.0263 0.0742 [2025-03-11 06:55:57,439 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 [2025-03-11 06:55:57,439 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 [2025-03-11 06:55:57,439 INFO hook.py line 689 2389709] fire alarm : 0.0250 0.1087 [2025-03-11 06:55:57,439 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 [2025-03-11 06:55:57,439 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 [2025-03-11 06:55:57,439 INFO hook.py line 689 2389709] poster : 0.0001 0.0002 [2025-03-11 06:55:57,439 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 [2025-03-11 06:55:57,439 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 [2025-03-11 06:55:57,439 INFO hook.py line 689 2389709] mattress : 0.0184 0.0185 [2025-03-11 06:55:57,439 INFO hook.py line 690 2389709] ######################################## [2025-03-11 06:55:57,439 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3287/0.4216/0.8285. [2025-03-11 06:55:57,440 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-11 06:55:57,460 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3288 [2025-03-11 06:55:57,460 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth [2025-03-11 06:55:58,140 INFO hook.py line 771 2389709] Best mIoU: 0.3288 [2025-03-11 06:55:58,141 INFO misc.py line 259 2389709] >>>>>>>>>>>>>>>> Start Precise Evaluation >>>>>>>>>>>>>>>> [2025-03-11 06:55:58,141 INFO test.py line 41 2389709] => Loading config ... [2025-03-11 06:55:58,141 INFO test.py line 53 2389709] => Building test dataset & dataloader ... [2025-03-11 06:55:58,142 INFO defaults.py line 68 2389709] Totally 312 x 1 samples in val set. [2025-03-11 06:55:58,143 INFO misc.py line 270 2389709] => Testing on model_best ... [2025-03-11 06:55:58,410 INFO test.py line 119 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-11 06:56:08,928 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 0/109 [2025-03-11 06:56:08,950 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 1/109 [2025-03-11 06:56:08,972 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 2/109 [2025-03-11 06:56:08,994 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 3/109 [2025-03-11 06:56:09,016 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 4/109 [2025-03-11 06:56:09,038 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 5/109 [2025-03-11 06:56:09,060 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 6/109 [2025-03-11 06:56:09,082 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 7/109 [2025-03-11 06:56:09,103 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 8/109 [2025-03-11 06:56:09,126 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 9/109 [2025-03-11 06:56:09,148 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 10/109 [2025-03-11 06:56:09,170 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 11/109 [2025-03-11 06:56:09,192 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 12/109 [2025-03-11 06:56:09,213 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 13/109 [2025-03-11 06:56:09,235 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 14/109 [2025-03-11 06:56:09,257 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 15/109 [2025-03-11 06:56:09,279 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 16/109 [2025-03-11 06:56:09,301 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 17/109 [2025-03-11 06:56:09,322 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 18/109 [2025-03-11 06:56:09,340 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 19/109 [2025-03-11 06:56:09,357 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 20/109 [2025-03-11 06:56:09,375 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 21/109 [2025-03-11 06:56:09,392 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 22/109 [2025-03-11 06:56:09,409 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 23/109 [2025-03-11 06:56:09,426 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 24/109 [2025-03-11 06:56:09,444 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 25/109 [2025-03-11 06:56:09,461 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 26/109 [2025-03-11 06:56:09,478 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 27/109 [2025-03-11 06:56:09,495 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 28/109 [2025-03-11 06:56:09,512 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 29/109 [2025-03-11 06:56:09,529 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 30/109 [2025-03-11 06:56:09,546 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 31/109 [2025-03-11 06:56:09,563 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 32/109 [2025-03-11 06:56:09,579 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 33/109 [2025-03-11 06:56:09,596 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 34/109 [2025-03-11 06:56:09,613 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 35/109 [2025-03-11 06:56:09,630 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 36/109 [2025-03-11 06:56:09,646 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 37/109 [2025-03-11 06:56:09,663 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 38/109 [2025-03-11 06:56:09,680 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 39/109 [2025-03-11 06:56:09,696 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 40/109 [2025-03-11 06:56:09,713 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 41/109 [2025-03-11 06:56:09,730 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 42/109 [2025-03-11 06:56:09,747 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 43/109 [2025-03-11 06:56:09,763 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 44/109 [2025-03-11 06:56:09,780 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 45/109 [2025-03-11 06:56:09,797 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 46/109 [2025-03-11 06:56:09,813 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 47/109 [2025-03-11 06:56:09,830 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 48/109 [2025-03-11 06:56:09,847 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 49/109 [2025-03-11 06:56:09,863 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 50/109 [2025-03-11 06:56:09,880 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 51/109 [2025-03-11 06:56:09,897 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 52/109 [2025-03-11 06:56:09,913 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 53/109 [2025-03-11 06:56:09,930 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 54/109 [2025-03-11 06:56:09,946 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 55/109 [2025-03-11 06:56:09,963 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 56/109 [2025-03-11 06:56:09,980 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 57/109 [2025-03-11 06:56:09,996 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 58/109 [2025-03-11 06:56:10,013 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 59/109 [2025-03-11 06:56:10,030 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 60/109 [2025-03-11 06:56:10,047 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 61/109 [2025-03-11 06:56:10,063 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 62/109 [2025-03-11 06:56:10,080 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 63/109 [2025-03-11 06:56:10,097 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 64/109 [2025-03-11 06:56:10,114 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 65/109 [2025-03-11 06:56:10,130 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 66/109 [2025-03-11 06:56:10,147 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 67/109 [2025-03-11 06:56:10,164 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 68/109 [2025-03-11 06:56:10,181 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 69/109 [2025-03-11 06:56:10,198 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 70/109 [2025-03-11 06:56:10,215 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 71/109 [2025-03-11 06:56:10,232 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 72/109 [2025-03-11 06:56:10,249 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 73/109 [2025-03-11 06:56:10,266 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 74/109 [2025-03-11 06:56:10,283 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 75/109 [2025-03-11 06:56:10,300 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 76/109 [2025-03-11 06:56:10,317 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 77/109 [2025-03-11 06:56:10,334 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 78/109 [2025-03-11 06:56:10,351 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 79/109 [2025-03-11 06:56:10,367 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 80/109 [2025-03-11 06:56:10,384 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 81/109 [2025-03-11 06:56:10,401 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 82/109 [2025-03-11 06:56:10,418 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 83/109 [2025-03-11 06:56:10,435 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 84/109 [2025-03-11 06:56:10,452 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 85/109 [2025-03-11 06:56:10,469 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 86/109 [2025-03-11 06:56:10,486 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 87/109 [2025-03-11 06:56:10,502 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 88/109 [2025-03-11 06:56:10,519 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 89/109 [2025-03-11 06:56:10,536 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 90/109 [2025-03-11 06:56:10,553 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 91/109 [2025-03-11 06:56:10,570 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 92/109 [2025-03-11 06:56:10,587 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 93/109 [2025-03-11 06:56:10,603 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 94/109 [2025-03-11 06:56:10,620 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 95/109 [2025-03-11 06:56:10,637 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 96/109 [2025-03-11 06:56:10,654 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 97/109 [2025-03-11 06:56:10,671 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 98/109 [2025-03-11 06:56:10,688 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 99/109 [2025-03-11 06:56:10,705 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 100/109 [2025-03-11 06:56:10,722 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 101/109 [2025-03-11 06:56:10,739 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 102/109 [2025-03-11 06:56:10,755 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 103/109 [2025-03-11 06:56:10,772 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 104/109 [2025-03-11 06:56:10,789 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 105/109 [2025-03-11 06:56:10,805 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 106/109 [2025-03-11 06:56:10,822 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 107/109 [2025-03-11 06:56:10,839 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 108/109 [2025-03-11 06:56:10,868 INFO test.py line 291 2389709] Test: scene0406_02 [1/78]-41752 Batch 1.978 (1.978) Accuracy 0.9415 (0.0701) mIoU 0.6698 (0.0670) [2025-03-11 06:56:13,067 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 0/134 [2025-03-11 06:56:13,102 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 1/134 [2025-03-11 06:56:13,139 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 2/134 [2025-03-11 06:56:13,175 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 3/134 [2025-03-11 06:56:13,210 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 4/134 [2025-03-11 06:56:13,246 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 5/134 [2025-03-11 06:56:13,284 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 6/134 [2025-03-11 06:56:13,323 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 7/134 [2025-03-11 06:56:13,358 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 8/134 [2025-03-11 06:56:13,397 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 9/134 [2025-03-11 06:56:13,440 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 10/134 [2025-03-11 06:56:13,481 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 11/134 [2025-03-11 06:56:13,521 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 12/134 [2025-03-11 06:56:13,556 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 13/134 [2025-03-11 06:56:13,590 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 14/134 [2025-03-11 06:56:13,625 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 15/134 [2025-03-11 06:56:13,686 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 16/134 [2025-03-11 06:56:13,834 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 17/134 [2025-03-11 06:56:13,996 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 18/134 [2025-03-11 06:56:14,068 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 19/134 [2025-03-11 06:56:14,117 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 20/134 [2025-03-11 06:56:14,153 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 21/134 [2025-03-11 06:56:14,188 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 22/134 [2025-03-11 06:56:14,222 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 23/134 [2025-03-11 06:56:14,256 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 24/134 [2025-03-11 06:56:14,290 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 25/134 [2025-03-11 06:56:14,324 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 26/134 [2025-03-11 06:56:14,359 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 27/134 [2025-03-11 06:56:14,393 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 28/134 [2025-03-11 06:56:14,427 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 29/134 [2025-03-11 06:56:14,461 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 30/134 [2025-03-11 06:56:14,496 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 31/134 [2025-03-11 06:56:14,530 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 32/134 [2025-03-11 06:56:14,564 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 33/134 [2025-03-11 06:56:14,598 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 34/134 [2025-03-11 06:56:14,633 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 35/134 [2025-03-11 06:56:14,667 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 36/134 [2025-03-11 06:56:14,701 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 37/134 [2025-03-11 06:56:14,735 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 38/134 [2025-03-11 06:56:14,769 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 39/134 [2025-03-11 06:56:14,803 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 40/134 [2025-03-11 06:56:14,836 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 41/134 [2025-03-11 06:56:14,868 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 42/134 [2025-03-11 06:56:14,901 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 43/134 [2025-03-11 06:56:14,934 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 44/134 [2025-03-11 06:56:14,967 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 45/134 [2025-03-11 06:56:15,000 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 46/134 [2025-03-11 06:56:15,033 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 47/134 [2025-03-11 06:56:15,066 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 48/134 [2025-03-11 06:56:15,099 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 49/134 [2025-03-11 06:56:15,132 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 50/134 [2025-03-11 06:56:15,165 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 51/134 [2025-03-11 06:56:15,197 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 52/134 [2025-03-11 06:56:15,230 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 53/134 [2025-03-11 06:56:15,263 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 54/134 [2025-03-11 06:56:15,295 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 55/134 [2025-03-11 06:56:15,331 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 56/134 [2025-03-11 06:56:15,370 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 57/134 [2025-03-11 06:56:15,408 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 58/134 [2025-03-11 06:56:15,447 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 59/134 [2025-03-11 06:56:15,485 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 60/134 [2025-03-11 06:56:15,524 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 61/134 [2025-03-11 06:56:15,563 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 62/134 [2025-03-11 06:56:15,600 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 63/134 [2025-03-11 06:56:15,637 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 64/134 [2025-03-11 06:56:15,673 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 65/134 [2025-03-11 06:56:15,716 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 66/134 [2025-03-11 06:56:15,754 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 67/134 [2025-03-11 06:56:15,789 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 68/134 [2025-03-11 06:56:15,929 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 69/134 [2025-03-11 06:56:16,090 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 70/134 [2025-03-11 06:56:16,199 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 71/134 [2025-03-11 06:56:16,304 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 72/134 [2025-03-11 06:56:16,445 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 73/134 [2025-03-11 06:56:16,563 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 74/134 [2025-03-11 06:56:16,665 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 75/134 [2025-03-11 06:56:16,703 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 76/134 [2025-03-11 06:56:16,732 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 77/134 [2025-03-11 06:56:16,762 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 78/134 [2025-03-11 06:56:16,792 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 79/134 [2025-03-11 06:56:16,822 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 80/134 [2025-03-11 06:56:16,852 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 81/134 [2025-03-11 06:56:16,885 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 82/134 [2025-03-11 06:56:16,918 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 83/134 [2025-03-11 06:56:16,951 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 84/134 [2025-03-11 06:56:16,984 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 85/134 [2025-03-11 06:56:17,017 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 86/134 [2025-03-11 06:56:17,050 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 87/134 [2025-03-11 06:56:17,086 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 88/134 [2025-03-11 06:56:17,121 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 89/134 [2025-03-11 06:56:17,157 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 90/134 [2025-03-11 06:56:17,191 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 91/134 [2025-03-11 06:56:17,226 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 92/134 [2025-03-11 06:56:17,262 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 93/134 [2025-03-11 06:56:17,296 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 94/134 [2025-03-11 06:56:17,331 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 95/134 [2025-03-11 06:56:17,366 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 96/134 [2025-03-11 06:56:17,401 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 97/134 [2025-03-11 06:56:17,436 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 98/134 [2025-03-11 06:56:17,471 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 99/134 [2025-03-11 06:56:17,508 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 100/134 [2025-03-11 06:56:17,542 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 101/134 [2025-03-11 06:56:17,579 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 102/134 [2025-03-11 06:56:17,615 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 103/134 [2025-03-11 06:56:17,650 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 104/134 [2025-03-11 06:56:17,685 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 105/134 [2025-03-11 06:56:17,720 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 106/134 [2025-03-11 06:56:17,756 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 107/134 [2025-03-11 06:56:17,791 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 108/134 [2025-03-11 06:56:17,826 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 109/134 [2025-03-11 06:56:17,860 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 110/134 [2025-03-11 06:56:17,896 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 111/134 [2025-03-11 06:56:17,931 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 112/134 [2025-03-11 06:56:17,966 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 113/134 [2025-03-11 06:56:18,001 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 114/134 [2025-03-11 06:56:18,036 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 115/134 [2025-03-11 06:56:18,071 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 116/134 [2025-03-11 06:56:18,105 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 117/134 [2025-03-11 06:56:18,139 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 118/134 [2025-03-11 06:56:18,174 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 119/134 [2025-03-11 06:56:18,208 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 120/134 [2025-03-11 06:56:18,244 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 121/134 [2025-03-11 06:56:18,278 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 122/134 [2025-03-11 06:56:18,314 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 123/134 [2025-03-11 06:56:18,347 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 124/134 [2025-03-11 06:56:18,381 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 125/134 [2025-03-11 06:56:18,415 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 126/134 [2025-03-11 06:56:18,449 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 127/134 [2025-03-11 06:56:18,483 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 128/134 [2025-03-11 06:56:18,517 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 129/134 [2025-03-11 06:56:18,551 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 130/134 [2025-03-11 06:56:18,585 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 131/134 [2025-03-11 06:56:18,618 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 132/134 [2025-03-11 06:56:18,656 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 133/134 [2025-03-11 06:56:18,884 INFO test.py line 291 2389709] Test: scene0593_00 [2/78]-211902 Batch 5.894 (3.936) Accuracy 0.8681 (0.1126) mIoU 0.3870 (0.1021) [2025-03-11 06:56:18,931 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 0/143 [2025-03-11 06:56:18,955 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 1/143 [2025-03-11 06:56:18,980 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 2/143 [2025-03-11 06:56:19,005 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 3/143 [2025-03-11 06:56:19,028 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 4/143 [2025-03-11 06:56:19,053 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 5/143 [2025-03-11 06:56:19,076 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 6/143 [2025-03-11 06:56:19,099 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 7/143 [2025-03-11 06:56:19,123 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 8/143 [2025-03-11 06:56:19,146 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 9/143 [2025-03-11 06:56:19,169 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 10/143 [2025-03-11 06:56:19,194 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 11/143 [2025-03-11 06:56:19,218 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 12/143 [2025-03-11 06:56:19,255 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 13/143 [2025-03-11 06:56:19,289 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 14/143 [2025-03-11 06:56:19,327 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 15/143 [2025-03-11 06:56:19,360 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 16/143 [2025-03-11 06:56:19,388 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 17/143 [2025-03-11 06:56:19,413 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 18/143 [2025-03-11 06:56:19,440 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 19/143 [2025-03-11 06:56:19,466 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 20/143 [2025-03-11 06:56:19,493 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 21/143 [2025-03-11 06:56:19,520 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 22/143 [2025-03-11 06:56:19,547 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 23/143 [2025-03-11 06:56:19,573 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 24/143 [2025-03-11 06:56:19,599 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 25/143 [2025-03-11 06:56:19,624 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 26/143 [2025-03-11 06:56:19,654 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 27/143 [2025-03-11 06:56:19,687 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 28/143 [2025-03-11 06:56:19,732 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 29/143 [2025-03-11 06:56:19,757 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 30/143 [2025-03-11 06:56:19,785 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 31/143 [2025-03-11 06:56:19,825 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 32/143 [2025-03-11 06:56:19,854 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 33/143 [2025-03-11 06:56:19,881 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 34/143 [2025-03-11 06:56:19,906 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 35/143 [2025-03-11 06:56:19,933 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 36/143 [2025-03-11 06:56:19,958 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 37/143 [2025-03-11 06:56:19,984 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 38/143 [2025-03-11 06:56:20,014 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 39/143 [2025-03-11 06:56:20,040 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 40/143 [2025-03-11 06:56:20,074 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 41/143 [2025-03-11 06:56:20,101 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 42/143 [2025-03-11 06:56:20,139 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 43/143 [2025-03-11 06:56:20,165 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 44/143 [2025-03-11 06:56:20,197 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 45/143 [2025-03-11 06:56:20,228 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 46/143 [2025-03-11 06:56:20,269 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 47/143 [2025-03-11 06:56:20,314 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 48/143 [2025-03-11 06:56:20,346 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 49/143 [2025-03-11 06:56:20,379 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 50/143 [2025-03-11 06:56:20,441 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 51/143 [2025-03-11 06:56:20,480 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 52/143 [2025-03-11 06:56:20,515 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 53/143 [2025-03-11 06:56:20,549 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 54/143 [2025-03-11 06:56:20,593 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 55/143 [2025-03-11 06:56:20,639 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 56/143 [2025-03-11 06:56:20,687 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 57/143 [2025-03-11 06:56:20,735 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 58/143 [2025-03-11 06:56:20,770 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 59/143 [2025-03-11 06:56:20,824 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 60/143 [2025-03-11 06:56:20,850 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 61/143 [2025-03-11 06:56:20,875 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 62/143 [2025-03-11 06:56:20,903 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 63/143 [2025-03-11 06:56:20,930 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 64/143 [2025-03-11 06:56:20,954 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 65/143 [2025-03-11 06:56:20,980 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 66/143 [2025-03-11 06:56:21,006 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 67/143 [2025-03-11 06:56:21,032 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 68/143 [2025-03-11 06:56:21,057 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 69/143 [2025-03-11 06:56:21,083 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 70/143 [2025-03-11 06:56:21,126 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 71/143 [2025-03-11 06:56:21,151 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 72/143 [2025-03-11 06:56:21,176 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 73/143 [2025-03-11 06:56:21,201 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 74/143 [2025-03-11 06:56:21,228 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 75/143 [2025-03-11 06:56:21,252 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 76/143 [2025-03-11 06:56:21,278 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 77/143 [2025-03-11 06:56:21,302 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 78/143 [2025-03-11 06:56:21,339 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 79/143 [2025-03-11 06:56:21,363 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 80/143 [2025-03-11 06:56:21,385 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 81/143 [2025-03-11 06:56:21,409 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 82/143 [2025-03-11 06:56:21,431 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 83/143 [2025-03-11 06:56:21,455 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 84/143 [2025-03-11 06:56:21,478 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 85/143 [2025-03-11 06:56:21,500 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 86/143 [2025-03-11 06:56:21,524 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 87/143 [2025-03-11 06:56:21,547 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 88/143 [2025-03-11 06:56:21,573 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 89/143 [2025-03-11 06:56:21,596 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 90/143 [2025-03-11 06:56:21,621 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 91/143 [2025-03-11 06:56:21,645 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 92/143 [2025-03-11 06:56:21,669 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 93/143 [2025-03-11 06:56:21,692 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 94/143 [2025-03-11 06:56:21,716 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 95/143 [2025-03-11 06:56:21,740 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 96/143 [2025-03-11 06:56:21,763 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 97/143 [2025-03-11 06:56:21,790 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 98/143 [2025-03-11 06:56:21,814 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 99/143 [2025-03-11 06:56:21,840 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 100/143 [2025-03-11 06:56:21,865 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 101/143 [2025-03-11 06:56:21,892 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 102/143 [2025-03-11 06:56:21,917 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 103/143 [2025-03-11 06:56:21,943 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 104/143 [2025-03-11 06:56:21,969 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 105/143 [2025-03-11 06:56:21,997 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 106/143 [2025-03-11 06:56:22,022 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 107/143 [2025-03-11 06:56:22,051 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 108/143 [2025-03-11 06:56:22,076 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 109/143 [2025-03-11 06:56:22,102 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 110/143 [2025-03-11 06:56:22,128 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 111/143 [2025-03-11 06:56:22,154 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 112/143 [2025-03-11 06:56:22,180 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 113/143 [2025-03-11 06:56:22,205 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 114/143 [2025-03-11 06:56:22,234 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 115/143 [2025-03-11 06:56:22,261 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 116/143 [2025-03-11 06:56:22,289 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 117/143 [2025-03-11 06:56:22,315 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 118/143 [2025-03-11 06:56:22,351 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 119/143 [2025-03-11 06:56:22,378 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 120/143 [2025-03-11 06:56:22,406 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 121/143 [2025-03-11 06:56:22,432 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 122/143 [2025-03-11 06:56:22,458 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 123/143 [2025-03-11 06:56:22,483 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 124/143 [2025-03-11 06:56:22,511 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 125/143 [2025-03-11 06:56:22,537 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 126/143 [2025-03-11 06:56:22,565 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 127/143 [2025-03-11 06:56:22,590 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 128/143 [2025-03-11 06:56:22,614 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 129/143 [2025-03-11 06:56:22,647 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 130/143 [2025-03-11 06:56:22,672 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 131/143 [2025-03-11 06:56:22,709 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 132/143 [2025-03-11 06:56:22,735 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 133/143 [2025-03-11 06:56:22,767 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 134/143 [2025-03-11 06:56:22,792 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 135/143 [2025-03-11 06:56:22,816 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 136/143 [2025-03-11 06:56:22,842 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 137/143 [2025-03-11 06:56:22,876 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 138/143 [2025-03-11 06:56:22,902 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 139/143 [2025-03-11 06:56:22,937 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 140/143 [2025-03-11 06:56:22,963 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 141/143 [2025-03-11 06:56:22,994 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 142/143 [2025-03-11 06:56:23,117 INFO test.py line 291 2389709] Test: scene0356_01 [3/78]-96610 Batch 4.233 (4.035) Accuracy 0.9255 (0.1455) mIoU 0.5719 (0.1316) [2025-03-11 06:56:23,178 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 0/142 [2025-03-11 06:56:23,207 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 1/142 [2025-03-11 06:56:23,237 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 2/142 [2025-03-11 06:56:23,267 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 3/142 [2025-03-11 06:56:23,296 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 4/142 [2025-03-11 06:56:23,324 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 5/142 [2025-03-11 06:56:23,353 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 6/142 [2025-03-11 06:56:23,383 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 7/142 [2025-03-11 06:56:23,412 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 8/142 [2025-03-11 06:56:23,459 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 9/142 [2025-03-11 06:56:23,486 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 10/142 [2025-03-11 06:56:23,515 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 11/142 [2025-03-11 06:56:23,543 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 12/142 [2025-03-11 06:56:23,571 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 13/142 [2025-03-11 06:56:23,598 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 14/142 [2025-03-11 06:56:23,626 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 15/142 [2025-03-11 06:56:23,654 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 16/142 [2025-03-11 06:56:23,689 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 17/142 [2025-03-11 06:56:23,717 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 18/142 [2025-03-11 06:56:23,747 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 19/142 [2025-03-11 06:56:23,775 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 20/142 [2025-03-11 06:56:23,804 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 21/142 [2025-03-11 06:56:23,832 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 22/142 [2025-03-11 06:56:23,861 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 23/142 [2025-03-11 06:56:23,890 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 24/142 [2025-03-11 06:56:23,918 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 25/142 [2025-03-11 06:56:23,945 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 26/142 [2025-03-11 06:56:23,974 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 27/142 [2025-03-11 06:56:24,002 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 28/142 [2025-03-11 06:56:24,029 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 29/142 [2025-03-11 06:56:24,058 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 30/142 [2025-03-11 06:56:24,090 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 31/142 [2025-03-11 06:56:24,118 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 32/142 [2025-03-11 06:56:24,146 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 33/142 [2025-03-11 06:56:24,174 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 34/142 [2025-03-11 06:56:24,203 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 35/142 [2025-03-11 06:56:24,231 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 36/142 [2025-03-11 06:56:24,259 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 37/142 [2025-03-11 06:56:24,287 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 38/142 [2025-03-11 06:56:24,315 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 39/142 [2025-03-11 06:56:24,343 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 40/142 [2025-03-11 06:56:24,371 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 41/142 [2025-03-11 06:56:24,397 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 42/142 [2025-03-11 06:56:24,422 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 43/142 [2025-03-11 06:56:24,448 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 44/142 [2025-03-11 06:56:24,474 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 45/142 [2025-03-11 06:56:24,506 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 46/142 [2025-03-11 06:56:24,537 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 47/142 [2025-03-11 06:56:24,567 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 48/142 [2025-03-11 06:56:24,598 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 49/142 [2025-03-11 06:56:24,635 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 50/142 [2025-03-11 06:56:24,669 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 51/142 [2025-03-11 06:56:24,704 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 52/142 [2025-03-11 06:56:24,738 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 53/142 [2025-03-11 06:56:24,774 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 54/142 [2025-03-11 06:56:24,807 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 55/142 [2025-03-11 06:56:24,841 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 56/142 [2025-03-11 06:56:24,874 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 57/142 [2025-03-11 06:56:24,907 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 58/142 [2025-03-11 06:56:24,943 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 59/142 [2025-03-11 06:56:24,969 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 60/142 [2025-03-11 06:56:24,995 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 61/142 [2025-03-11 06:56:25,021 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 62/142 [2025-03-11 06:56:25,050 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 63/142 [2025-03-11 06:56:25,076 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 64/142 [2025-03-11 06:56:25,102 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 65/142 [2025-03-11 06:56:25,128 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 66/142 [2025-03-11 06:56:25,155 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 67/142 [2025-03-11 06:56:25,183 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 68/142 [2025-03-11 06:56:25,210 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 69/142 [2025-03-11 06:56:25,236 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 70/142 [2025-03-11 06:56:25,262 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 71/142 [2025-03-11 06:56:25,287 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 72/142 [2025-03-11 06:56:25,313 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 73/142 [2025-03-11 06:56:25,339 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 74/142 [2025-03-11 06:56:25,366 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 75/142 [2025-03-11 06:56:25,401 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 76/142 [2025-03-11 06:56:25,427 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 77/142 [2025-03-11 06:56:25,467 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 78/142 [2025-03-11 06:56:25,493 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 79/142 [2025-03-11 06:56:25,525 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 80/142 [2025-03-11 06:56:25,555 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 81/142 [2025-03-11 06:56:25,581 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 82/142 [2025-03-11 06:56:25,607 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 83/142 [2025-03-11 06:56:25,633 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 84/142 [2025-03-11 06:56:25,660 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 85/142 [2025-03-11 06:56:25,688 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 86/142 [2025-03-11 06:56:25,724 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 87/142 [2025-03-11 06:56:25,755 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 88/142 [2025-03-11 06:56:25,782 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 89/142 [2025-03-11 06:56:25,809 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 90/142 [2025-03-11 06:56:25,837 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 91/142 [2025-03-11 06:56:25,866 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 92/142 [2025-03-11 06:56:25,892 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 93/142 [2025-03-11 06:56:25,919 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 94/142 [2025-03-11 06:56:25,950 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 95/142 [2025-03-11 06:56:25,978 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 96/142 [2025-03-11 06:56:26,005 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 97/142 [2025-03-11 06:56:26,032 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 98/142 [2025-03-11 06:56:26,056 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 99/142 [2025-03-11 06:56:26,079 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 100/142 [2025-03-11 06:56:26,103 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 101/142 [2025-03-11 06:56:26,126 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 102/142 [2025-03-11 06:56:26,151 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 103/142 [2025-03-11 06:56:26,174 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 104/142 [2025-03-11 06:56:26,196 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 105/142 [2025-03-11 06:56:26,221 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 106/142 [2025-03-11 06:56:26,244 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 107/142 [2025-03-11 06:56:26,269 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 108/142 [2025-03-11 06:56:26,292 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 109/142 [2025-03-11 06:56:26,316 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 110/142 [2025-03-11 06:56:26,340 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 111/142 [2025-03-11 06:56:26,363 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 112/142 [2025-03-11 06:56:26,386 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 113/142 [2025-03-11 06:56:26,410 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 114/142 [2025-03-11 06:56:26,433 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 115/142 [2025-03-11 06:56:26,456 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 116/142 [2025-03-11 06:56:26,480 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 117/142 [2025-03-11 06:56:26,503 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 118/142 [2025-03-11 06:56:26,527 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 119/142 [2025-03-11 06:56:26,551 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 120/142 [2025-03-11 06:56:26,575 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 121/142 [2025-03-11 06:56:26,598 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 122/142 [2025-03-11 06:56:26,628 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 123/142 [2025-03-11 06:56:26,653 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 124/142 [2025-03-11 06:56:26,684 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 125/142 [2025-03-11 06:56:26,714 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 126/142 [2025-03-11 06:56:26,752 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 127/142 [2025-03-11 06:56:26,783 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 128/142 [2025-03-11 06:56:26,818 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 129/142 [2025-03-11 06:56:26,841 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 130/142 [2025-03-11 06:56:26,865 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 131/142 [2025-03-11 06:56:26,888 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 132/142 [2025-03-11 06:56:26,910 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 133/142 [2025-03-11 06:56:26,933 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 134/142 [2025-03-11 06:56:26,955 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 135/142 [2025-03-11 06:56:26,978 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 136/142 [2025-03-11 06:56:27,001 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 137/142 [2025-03-11 06:56:27,023 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 138/142 [2025-03-11 06:56:27,045 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 139/142 [2025-03-11 06:56:27,068 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 140/142 [2025-03-11 06:56:27,090 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 141/142 [2025-03-11 06:56:27,186 INFO test.py line 291 2389709] Test: scene0578_02 [4/78]-128553 Batch 4.068 (4.043) Accuracy 0.9387 (0.1482) mIoU 0.4985 (0.1374) [2025-03-11 06:56:27,227 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 0/113 [2025-03-11 06:56:27,249 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 1/113 [2025-03-11 06:56:27,269 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 2/113 [2025-03-11 06:56:27,289 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 3/113 [2025-03-11 06:56:27,312 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 4/113 [2025-03-11 06:56:27,334 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 5/113 [2025-03-11 06:56:27,354 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 6/113 [2025-03-11 06:56:27,374 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 7/113 [2025-03-11 06:56:27,394 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 8/113 [2025-03-11 06:56:27,414 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 9/113 [2025-03-11 06:56:27,434 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 10/113 [2025-03-11 06:56:27,454 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 11/113 [2025-03-11 06:56:27,474 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 12/113 [2025-03-11 06:56:27,495 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 13/113 [2025-03-11 06:56:27,515 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 14/113 [2025-03-11 06:56:27,536 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 15/113 [2025-03-11 06:56:27,556 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 16/113 [2025-03-11 06:56:27,576 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 17/113 [2025-03-11 06:56:27,596 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 18/113 [2025-03-11 06:56:27,617 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 19/113 [2025-03-11 06:56:27,637 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 20/113 [2025-03-11 06:56:27,657 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 21/113 [2025-03-11 06:56:27,677 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 22/113 [2025-03-11 06:56:27,696 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 23/113 [2025-03-11 06:56:27,716 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 24/113 [2025-03-11 06:56:27,736 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 25/113 [2025-03-11 06:56:27,757 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 26/113 [2025-03-11 06:56:27,777 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 27/113 [2025-03-11 06:56:27,798 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 28/113 [2025-03-11 06:56:27,818 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 29/113 [2025-03-11 06:56:27,838 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 30/113 [2025-03-11 06:56:27,858 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 31/113 [2025-03-11 06:56:27,878 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 32/113 [2025-03-11 06:56:27,898 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 33/113 [2025-03-11 06:56:27,917 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 34/113 [2025-03-11 06:56:27,938 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 35/113 [2025-03-11 06:56:27,958 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 36/113 [2025-03-11 06:56:27,979 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 37/113 [2025-03-11 06:56:27,998 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 38/113 [2025-03-11 06:56:28,022 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 39/113 [2025-03-11 06:56:28,052 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 40/113 [2025-03-11 06:56:28,082 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 41/113 [2025-03-11 06:56:28,109 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 42/113 [2025-03-11 06:56:28,129 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 43/113 [2025-03-11 06:56:28,148 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 44/113 [2025-03-11 06:56:28,167 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 45/113 [2025-03-11 06:56:28,187 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 46/113 [2025-03-11 06:56:28,208 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 47/113 [2025-03-11 06:56:28,233 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 48/113 [2025-03-11 06:56:28,253 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 49/113 [2025-03-11 06:56:28,274 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 50/113 [2025-03-11 06:56:28,293 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 51/113 [2025-03-11 06:56:28,313 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 52/113 [2025-03-11 06:56:28,334 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 53/113 [2025-03-11 06:56:28,355 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 54/113 [2025-03-11 06:56:28,377 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 55/113 [2025-03-11 06:56:28,397 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 56/113 [2025-03-11 06:56:28,418 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 57/113 [2025-03-11 06:56:28,439 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 58/113 [2025-03-11 06:56:28,459 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 59/113 [2025-03-11 06:56:28,481 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 60/113 [2025-03-11 06:56:28,501 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 61/113 [2025-03-11 06:56:28,522 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 62/113 [2025-03-11 06:56:28,542 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 63/113 [2025-03-11 06:56:28,562 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 64/113 [2025-03-11 06:56:28,583 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 65/113 [2025-03-11 06:56:28,602 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 66/113 [2025-03-11 06:56:28,622 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 67/113 [2025-03-11 06:56:28,643 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 68/113 [2025-03-11 06:56:28,663 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 69/113 [2025-03-11 06:56:28,682 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 70/113 [2025-03-11 06:56:28,702 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 71/113 [2025-03-11 06:56:28,723 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 72/113 [2025-03-11 06:56:28,744 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 73/113 [2025-03-11 06:56:28,766 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 74/113 [2025-03-11 06:56:28,787 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 75/113 [2025-03-11 06:56:28,807 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 76/113 [2025-03-11 06:56:28,829 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 77/113 [2025-03-11 06:56:28,850 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 78/113 [2025-03-11 06:56:28,871 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 79/113 [2025-03-11 06:56:28,892 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 80/113 [2025-03-11 06:56:28,913 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 81/113 [2025-03-11 06:56:28,933 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 82/113 [2025-03-11 06:56:28,954 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 83/113 [2025-03-11 06:56:28,975 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 84/113 [2025-03-11 06:56:28,995 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 85/113 [2025-03-11 06:56:29,016 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 86/113 [2025-03-11 06:56:29,037 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 87/113 [2025-03-11 06:56:29,058 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 88/113 [2025-03-11 06:56:29,079 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 89/113 [2025-03-11 06:56:29,100 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 90/113 [2025-03-11 06:56:29,121 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 91/113 [2025-03-11 06:56:29,142 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 92/113 [2025-03-11 06:56:29,163 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 93/113 [2025-03-11 06:56:29,185 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 94/113 [2025-03-11 06:56:29,205 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 95/113 [2025-03-11 06:56:29,226 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 96/113 [2025-03-11 06:56:29,246 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 97/113 [2025-03-11 06:56:29,268 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 98/113 [2025-03-11 06:56:29,290 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 99/113 [2025-03-11 06:56:29,311 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 100/113 [2025-03-11 06:56:29,332 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 101/113 [2025-03-11 06:56:29,353 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 102/113 [2025-03-11 06:56:29,375 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 103/113 [2025-03-11 06:56:29,395 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 104/113 [2025-03-11 06:56:29,415 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 105/113 [2025-03-11 06:56:29,452 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 106/113 [2025-03-11 06:56:29,471 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 107/113 [2025-03-11 06:56:29,494 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 108/113 [2025-03-11 06:56:29,514 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 109/113 [2025-03-11 06:56:29,536 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 110/113 [2025-03-11 06:56:29,555 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 111/113 [2025-03-11 06:56:29,576 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 112/113 [2025-03-11 06:56:29,650 INFO test.py line 291 2389709] Test: scene0077_01 [5/78]-90381 Batch 2.463 (3.727) Accuracy 0.9186 (0.1562) mIoU 0.4941 (0.1433) [2025-03-11 06:56:29,692 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 0/121 [2025-03-11 06:56:29,711 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 1/121 [2025-03-11 06:56:29,734 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 2/121 [2025-03-11 06:56:29,754 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 3/121 [2025-03-11 06:56:29,775 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 4/121 [2025-03-11 06:56:29,794 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 5/121 [2025-03-11 06:56:29,815 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 6/121 [2025-03-11 06:56:29,841 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 7/121 [2025-03-11 06:56:29,860 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 8/121 [2025-03-11 06:56:29,881 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 9/121 [2025-03-11 06:56:29,902 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 10/121 [2025-03-11 06:56:29,923 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 11/121 [2025-03-11 06:56:29,942 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 12/121 [2025-03-11 06:56:29,964 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 13/121 [2025-03-11 06:56:29,985 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 14/121 [2025-03-11 06:56:30,004 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 15/121 [2025-03-11 06:56:30,024 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 16/121 [2025-03-11 06:56:30,048 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 17/121 [2025-03-11 06:56:30,070 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 18/121 [2025-03-11 06:56:30,091 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 19/121 [2025-03-11 06:56:30,111 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 20/121 [2025-03-11 06:56:30,131 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 21/121 [2025-03-11 06:56:30,154 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 22/121 [2025-03-11 06:56:30,174 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 23/121 [2025-03-11 06:56:30,195 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 24/121 [2025-03-11 06:56:30,215 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 25/121 [2025-03-11 06:56:30,245 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 26/121 [2025-03-11 06:56:30,272 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 27/121 [2025-03-11 06:56:30,293 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 28/121 [2025-03-11 06:56:30,313 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 29/121 [2025-03-11 06:56:30,333 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 30/121 [2025-03-11 06:56:30,354 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 31/121 [2025-03-11 06:56:30,376 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 32/121 [2025-03-11 06:56:30,397 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 33/121 [2025-03-11 06:56:30,418 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 34/121 [2025-03-11 06:56:30,438 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 35/121 [2025-03-11 06:56:30,458 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 36/121 [2025-03-11 06:56:30,478 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 37/121 [2025-03-11 06:56:30,497 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 38/121 [2025-03-11 06:56:30,518 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 39/121 [2025-03-11 06:56:30,538 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 40/121 [2025-03-11 06:56:30,557 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 41/121 [2025-03-11 06:56:30,581 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 42/121 [2025-03-11 06:56:30,601 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 43/121 [2025-03-11 06:56:30,622 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 44/121 [2025-03-11 06:56:30,642 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 45/121 [2025-03-11 06:56:30,661 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 46/121 [2025-03-11 06:56:30,682 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 47/121 [2025-03-11 06:56:30,702 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 48/121 [2025-03-11 06:56:30,721 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 49/121 [2025-03-11 06:56:30,741 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 50/121 [2025-03-11 06:56:30,762 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 51/121 [2025-03-11 06:56:30,782 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 52/121 [2025-03-11 06:56:30,803 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 53/121 [2025-03-11 06:56:30,823 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 54/121 [2025-03-11 06:56:30,846 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 55/121 [2025-03-11 06:56:30,872 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 56/121 [2025-03-11 06:56:30,894 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 57/121 [2025-03-11 06:56:30,914 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 58/121 [2025-03-11 06:56:30,934 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 59/121 [2025-03-11 06:56:30,953 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 60/121 [2025-03-11 06:56:30,972 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 61/121 [2025-03-11 06:56:30,992 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 62/121 [2025-03-11 06:56:31,012 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 63/121 [2025-03-11 06:56:31,032 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 64/121 [2025-03-11 06:56:31,056 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 65/121 [2025-03-11 06:56:31,079 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 66/121 [2025-03-11 06:56:31,104 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 67/121 [2025-03-11 06:56:31,128 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 68/121 [2025-03-11 06:56:31,152 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 69/121 [2025-03-11 06:56:31,176 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 70/121 [2025-03-11 06:56:31,200 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 71/121 [2025-03-11 06:56:31,224 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 72/121 [2025-03-11 06:56:31,270 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 73/121 [2025-03-11 06:56:31,294 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 74/121 [2025-03-11 06:56:31,318 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 75/121 [2025-03-11 06:56:31,342 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 76/121 [2025-03-11 06:56:31,366 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 77/121 [2025-03-11 06:56:31,390 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 78/121 [2025-03-11 06:56:31,415 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 79/121 [2025-03-11 06:56:31,439 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 80/121 [2025-03-11 06:56:31,465 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 81/121 [2025-03-11 06:56:31,490 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 82/121 [2025-03-11 06:56:31,520 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 83/121 [2025-03-11 06:56:31,545 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 84/121 [2025-03-11 06:56:31,569 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 85/121 [2025-03-11 06:56:31,593 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 86/121 [2025-03-11 06:56:31,618 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 87/121 [2025-03-11 06:56:31,643 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 88/121 [2025-03-11 06:56:31,667 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 89/121 [2025-03-11 06:56:31,692 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 90/121 [2025-03-11 06:56:31,718 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 91/121 [2025-03-11 06:56:31,743 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 92/121 [2025-03-11 06:56:31,775 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 93/121 [2025-03-11 06:56:31,799 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 94/121 [2025-03-11 06:56:31,823 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 95/121 [2025-03-11 06:56:31,849 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 96/121 [2025-03-11 06:56:31,873 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 97/121 [2025-03-11 06:56:31,900 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 98/121 [2025-03-11 06:56:31,925 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 99/121 [2025-03-11 06:56:31,952 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 100/121 [2025-03-11 06:56:31,976 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 101/121 [2025-03-11 06:56:32,002 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 102/121 [2025-03-11 06:56:32,027 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 103/121 [2025-03-11 06:56:32,053 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 104/121 [2025-03-11 06:56:32,079 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 105/121 [2025-03-11 06:56:32,106 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 106/121 [2025-03-11 06:56:32,131 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 107/121 [2025-03-11 06:56:32,155 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 108/121 [2025-03-11 06:56:32,184 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 109/121 [2025-03-11 06:56:32,211 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 110/121 [2025-03-11 06:56:32,237 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 111/121 [2025-03-11 06:56:32,263 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 112/121 [2025-03-11 06:56:32,288 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 113/121 [2025-03-11 06:56:32,313 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 114/121 [2025-03-11 06:56:32,338 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 115/121 [2025-03-11 06:56:32,363 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 116/121 [2025-03-11 06:56:32,387 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 117/121 [2025-03-11 06:56:32,412 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 118/121 [2025-03-11 06:56:32,437 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 119/121 [2025-03-11 06:56:32,460 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 120/121 [2025-03-11 06:56:32,569 INFO test.py line 291 2389709] Test: scene0382_01 [6/78]-96933 Batch 2.919 (3.593) Accuracy 0.8185 (0.1620) mIoU 0.3596 (0.1483) [2025-03-11 06:56:35,514 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 0/134 [2025-03-11 06:56:35,573 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 1/134 [2025-03-11 06:56:35,632 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 2/134 [2025-03-11 06:56:35,685 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 3/134 [2025-03-11 06:56:35,737 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 4/134 [2025-03-11 06:56:35,787 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 5/134 [2025-03-11 06:56:35,836 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 6/134 [2025-03-11 06:56:35,888 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 7/134 [2025-03-11 06:56:35,949 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 8/134 [2025-03-11 06:56:35,999 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 9/134 [2025-03-11 06:56:36,063 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 10/134 [2025-03-11 06:56:36,110 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 11/134 [2025-03-11 06:56:36,173 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 12/134 [2025-03-11 06:56:36,220 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 13/134 [2025-03-11 06:56:36,267 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 14/134 [2025-03-11 06:56:36,316 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 15/134 [2025-03-11 06:56:36,364 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 16/134 [2025-03-11 06:56:36,412 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 17/134 [2025-03-11 06:56:36,460 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 18/134 [2025-03-11 06:56:36,508 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 19/134 [2025-03-11 06:56:36,556 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 20/134 [2025-03-11 06:56:36,603 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 21/134 [2025-03-11 06:56:36,650 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 22/134 [2025-03-11 06:56:36,699 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 23/134 [2025-03-11 06:56:36,746 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 24/134 [2025-03-11 06:56:36,794 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 25/134 [2025-03-11 06:56:36,842 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 26/134 [2025-03-11 06:56:36,890 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 27/134 [2025-03-11 06:56:36,938 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 28/134 [2025-03-11 06:56:36,987 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 29/134 [2025-03-11 06:56:37,035 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 30/134 [2025-03-11 06:56:37,082 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 31/134 [2025-03-11 06:56:37,131 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 32/134 [2025-03-11 06:56:37,178 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 33/134 [2025-03-11 06:56:37,235 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 34/134 [2025-03-11 06:56:37,283 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 35/134 [2025-03-11 06:56:37,330 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 36/134 [2025-03-11 06:56:37,378 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 37/134 [2025-03-11 06:56:37,425 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 38/134 [2025-03-11 06:56:37,472 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 39/134 [2025-03-11 06:56:37,517 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 40/134 [2025-03-11 06:56:37,562 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 41/134 [2025-03-11 06:56:37,608 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 42/134 [2025-03-11 06:56:37,653 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 43/134 [2025-03-11 06:56:37,698 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 44/134 [2025-03-11 06:56:37,744 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 45/134 [2025-03-11 06:56:37,790 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 46/134 [2025-03-11 06:56:37,835 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 47/134 [2025-03-11 06:56:37,881 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 48/134 [2025-03-11 06:56:37,928 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 49/134 [2025-03-11 06:56:37,973 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 50/134 [2025-03-11 06:56:38,019 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 51/134 [2025-03-11 06:56:38,064 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 52/134 [2025-03-11 06:56:38,110 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 53/134 [2025-03-11 06:56:38,154 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 54/134 [2025-03-11 06:56:38,199 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 55/134 [2025-03-11 06:56:38,247 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 56/134 [2025-03-11 06:56:38,291 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 57/134 [2025-03-11 06:56:38,345 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 58/134 [2025-03-11 06:56:38,411 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 59/134 [2025-03-11 06:56:38,462 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 60/134 [2025-03-11 06:56:38,515 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 61/134 [2025-03-11 06:56:38,577 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 62/134 [2025-03-11 06:56:38,628 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 63/134 [2025-03-11 06:56:38,676 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 64/134 [2025-03-11 06:56:38,724 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 65/134 [2025-03-11 06:56:38,771 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 66/134 [2025-03-11 06:56:38,816 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 67/134 [2025-03-11 06:56:38,862 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 68/134 [2025-03-11 06:56:38,907 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 69/134 [2025-03-11 06:56:38,953 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 70/134 [2025-03-11 06:56:38,998 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 71/134 [2025-03-11 06:56:39,043 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 72/134 [2025-03-11 06:56:39,088 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 73/134 [2025-03-11 06:56:39,133 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 74/134 [2025-03-11 06:56:39,179 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 75/134 [2025-03-11 06:56:39,224 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 76/134 [2025-03-11 06:56:39,269 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 77/134 [2025-03-11 06:56:39,314 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 78/134 [2025-03-11 06:56:39,359 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 79/134 [2025-03-11 06:56:39,405 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 80/134 [2025-03-11 06:56:39,449 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 81/134 [2025-03-11 06:56:39,494 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 82/134 [2025-03-11 06:56:39,539 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 83/134 [2025-03-11 06:56:39,584 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 84/134 [2025-03-11 06:56:39,629 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 85/134 [2025-03-11 06:56:39,674 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 86/134 [2025-03-11 06:56:39,719 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 87/134 [2025-03-11 06:56:39,783 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 88/134 [2025-03-11 06:56:39,831 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 89/134 [2025-03-11 06:56:39,881 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 90/134 [2025-03-11 06:56:39,930 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 91/134 [2025-03-11 06:56:39,979 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 92/134 [2025-03-11 06:56:40,028 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 93/134 [2025-03-11 06:56:40,077 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 94/134 [2025-03-11 06:56:40,127 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 95/134 [2025-03-11 06:56:40,174 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 96/134 [2025-03-11 06:56:40,224 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 97/134 [2025-03-11 06:56:40,272 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 98/134 [2025-03-11 06:56:40,321 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 99/134 [2025-03-11 06:56:40,370 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 100/134 [2025-03-11 06:56:40,418 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 101/134 [2025-03-11 06:56:40,467 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 102/134 [2025-03-11 06:56:40,515 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 103/134 [2025-03-11 06:56:40,564 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 104/134 [2025-03-11 06:56:40,612 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 105/134 [2025-03-11 06:56:40,661 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 106/134 [2025-03-11 06:56:40,710 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 107/134 [2025-03-11 06:56:40,758 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 108/134 [2025-03-11 06:56:40,806 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 109/134 [2025-03-11 06:56:40,855 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 110/134 [2025-03-11 06:56:40,905 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 111/134 [2025-03-11 06:56:40,953 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 112/134 [2025-03-11 06:56:41,001 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 113/134 [2025-03-11 06:56:41,050 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 114/134 [2025-03-11 06:56:41,098 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 115/134 [2025-03-11 06:56:41,148 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 116/134 [2025-03-11 06:56:41,196 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 117/134 [2025-03-11 06:56:41,244 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 118/134 [2025-03-11 06:56:41,292 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 119/134 [2025-03-11 06:56:41,342 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 120/134 [2025-03-11 06:56:41,390 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 121/134 [2025-03-11 06:56:41,439 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 122/134 [2025-03-11 06:56:41,488 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 123/134 [2025-03-11 06:56:41,534 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 124/134 [2025-03-11 06:56:41,581 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 125/134 [2025-03-11 06:56:41,628 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 126/134 [2025-03-11 06:56:41,675 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 127/134 [2025-03-11 06:56:41,722 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 128/134 [2025-03-11 06:56:41,768 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 129/134 [2025-03-11 06:56:41,815 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 130/134 [2025-03-11 06:56:41,862 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 131/134 [2025-03-11 06:56:41,909 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 132/134 [2025-03-11 06:56:41,955 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 133/134 [2025-03-11 06:56:42,342 INFO test.py line 291 2389709] Test: scene0653_01 [7/78]-331565 Batch 6.961 (4.074) Accuracy 0.8970 (0.1907) mIoU 0.3442 (0.1714) [2025-03-11 06:56:42,373 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 0/113 [2025-03-11 06:56:42,396 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 1/113 [2025-03-11 06:56:42,418 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 2/113 [2025-03-11 06:56:42,439 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 3/113 [2025-03-11 06:56:42,461 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 4/113 [2025-03-11 06:56:42,482 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 5/113 [2025-03-11 06:56:42,505 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 6/113 [2025-03-11 06:56:42,526 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 7/113 [2025-03-11 06:56:42,547 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 8/113 [2025-03-11 06:56:42,569 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 9/113 [2025-03-11 06:56:42,589 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 10/113 [2025-03-11 06:56:42,611 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 11/113 [2025-03-11 06:56:42,631 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 12/113 [2025-03-11 06:56:42,652 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 13/113 [2025-03-11 06:56:42,674 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 14/113 [2025-03-11 06:56:42,694 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 15/113 [2025-03-11 06:56:42,716 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 16/113 [2025-03-11 06:56:42,736 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 17/113 [2025-03-11 06:56:42,758 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 18/113 [2025-03-11 06:56:42,778 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 19/113 [2025-03-11 06:56:42,800 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 20/113 [2025-03-11 06:56:42,822 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 21/113 [2025-03-11 06:56:42,843 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 22/113 [2025-03-11 06:56:42,865 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 23/113 [2025-03-11 06:56:42,885 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 24/113 [2025-03-11 06:56:42,908 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 25/113 [2025-03-11 06:56:42,928 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 26/113 [2025-03-11 06:56:42,950 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 27/113 [2025-03-11 06:56:42,972 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 28/113 [2025-03-11 06:56:42,994 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 29/113 [2025-03-11 06:56:43,015 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 30/113 [2025-03-11 06:56:43,036 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 31/113 [2025-03-11 06:56:43,058 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 32/113 [2025-03-11 06:56:43,078 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 33/113 [2025-03-11 06:56:43,100 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 34/113 [2025-03-11 06:56:43,121 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 35/113 [2025-03-11 06:56:43,142 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 36/113 [2025-03-11 06:56:43,163 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 37/113 [2025-03-11 06:56:43,184 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 38/113 [2025-03-11 06:56:43,208 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 39/113 [2025-03-11 06:56:43,228 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 40/113 [2025-03-11 06:56:43,249 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 41/113 [2025-03-11 06:56:43,270 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 42/113 [2025-03-11 06:56:43,292 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 43/113 [2025-03-11 06:56:43,313 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 44/113 [2025-03-11 06:56:43,335 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 45/113 [2025-03-11 06:56:43,356 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 46/113 [2025-03-11 06:56:43,378 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 47/113 [2025-03-11 06:56:43,399 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 48/113 [2025-03-11 06:56:43,421 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 49/113 [2025-03-11 06:56:43,442 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 50/113 [2025-03-11 06:56:43,464 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 51/113 [2025-03-11 06:56:43,487 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 52/113 [2025-03-11 06:56:43,508 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 53/113 [2025-03-11 06:56:43,534 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 54/113 [2025-03-11 06:56:43,555 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 55/113 [2025-03-11 06:56:43,577 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 56/113 [2025-03-11 06:56:43,601 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 57/113 [2025-03-11 06:56:43,623 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 58/113 [2025-03-11 06:56:43,645 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 59/113 [2025-03-11 06:56:43,669 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 60/113 [2025-03-11 06:56:43,698 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 61/113 [2025-03-11 06:56:43,728 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 62/113 [2025-03-11 06:56:43,756 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 63/113 [2025-03-11 06:56:43,785 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 64/113 [2025-03-11 06:56:43,818 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 65/113 [2025-03-11 06:56:43,848 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 66/113 [2025-03-11 06:56:43,874 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 67/113 [2025-03-11 06:56:43,899 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 68/113 [2025-03-11 06:56:43,925 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 69/113 [2025-03-11 06:56:43,952 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 70/113 [2025-03-11 06:56:43,978 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 71/113 [2025-03-11 06:56:44,000 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 72/113 [2025-03-11 06:56:44,025 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 73/113 [2025-03-11 06:56:44,051 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 74/113 [2025-03-11 06:56:44,077 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 75/113 [2025-03-11 06:56:44,106 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 76/113 [2025-03-11 06:56:44,134 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 77/113 [2025-03-11 06:56:44,162 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 78/113 [2025-03-11 06:56:44,192 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 79/113 [2025-03-11 06:56:44,221 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 80/113 [2025-03-11 06:56:44,250 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 81/113 [2025-03-11 06:56:44,281 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 82/113 [2025-03-11 06:56:44,324 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 83/113 [2025-03-11 06:56:44,358 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 84/113 [2025-03-11 06:56:44,379 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 85/113 [2025-03-11 06:56:44,402 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 86/113 [2025-03-11 06:56:44,424 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 87/113 [2025-03-11 06:56:44,447 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 88/113 [2025-03-11 06:56:44,468 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 89/113 [2025-03-11 06:56:44,491 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 90/113 [2025-03-11 06:56:44,518 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 91/113 [2025-03-11 06:56:44,541 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 92/113 [2025-03-11 06:56:44,562 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 93/113 [2025-03-11 06:56:44,585 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 94/113 [2025-03-11 06:56:44,607 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 95/113 [2025-03-11 06:56:44,630 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 96/113 [2025-03-11 06:56:44,652 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 97/113 [2025-03-11 06:56:44,675 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 98/113 [2025-03-11 06:56:44,696 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 99/113 [2025-03-11 06:56:44,717 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 100/113 [2025-03-11 06:56:44,739 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 101/113 [2025-03-11 06:56:44,758 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 102/113 [2025-03-11 06:56:44,790 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 103/113 [2025-03-11 06:56:44,812 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 104/113 [2025-03-11 06:56:44,833 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 105/113 [2025-03-11 06:56:44,855 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 106/113 [2025-03-11 06:56:44,877 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 107/113 [2025-03-11 06:56:44,899 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 108/113 [2025-03-11 06:56:44,920 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 109/113 [2025-03-11 06:56:44,943 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 110/113 [2025-03-11 06:56:44,965 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 111/113 [2025-03-11 06:56:44,986 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 112/113 [2025-03-11 06:56:45,035 INFO test.py line 291 2389709] Test: scene0684_00 [8/78]-41364 Batch 2.693 (3.901) Accuracy 0.8527 (0.1903) mIoU 0.3810 (0.1694) [2025-03-11 06:56:45,110 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 0/130 [2025-03-11 06:56:45,144 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 1/130 [2025-03-11 06:56:45,178 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 2/130 [2025-03-11 06:56:45,210 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 3/130 [2025-03-11 06:56:45,243 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 4/130 [2025-03-11 06:56:45,276 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 5/130 [2025-03-11 06:56:45,308 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 6/130 [2025-03-11 06:56:45,343 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 7/130 [2025-03-11 06:56:45,393 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 8/130 [2025-03-11 06:56:45,426 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 9/130 [2025-03-11 06:56:45,460 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 10/130 [2025-03-11 06:56:45,492 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 11/130 [2025-03-11 06:56:45,525 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 12/130 [2025-03-11 06:56:45,558 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 13/130 [2025-03-11 06:56:45,590 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 14/130 [2025-03-11 06:56:45,622 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 15/130 [2025-03-11 06:56:45,654 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 16/130 [2025-03-11 06:56:45,685 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 17/130 [2025-03-11 06:56:45,718 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 18/130 [2025-03-11 06:56:45,749 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 19/130 [2025-03-11 06:56:45,780 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 20/130 [2025-03-11 06:56:45,827 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 21/130 [2025-03-11 06:56:45,860 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 22/130 [2025-03-11 06:56:45,893 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 23/130 [2025-03-11 06:56:45,926 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 24/130 [2025-03-11 06:56:45,959 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 25/130 [2025-03-11 06:56:45,992 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 26/130 [2025-03-11 06:56:46,023 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 27/130 [2025-03-11 06:56:46,055 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 28/130 [2025-03-11 06:56:46,102 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 29/130 [2025-03-11 06:56:46,134 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 30/130 [2025-03-11 06:56:46,165 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 31/130 [2025-03-11 06:56:46,196 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 32/130 [2025-03-11 06:56:46,235 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 33/130 [2025-03-11 06:56:46,268 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 34/130 [2025-03-11 06:56:46,300 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 35/130 [2025-03-11 06:56:46,332 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 36/130 [2025-03-11 06:56:46,364 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 37/130 [2025-03-11 06:56:46,398 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 38/130 [2025-03-11 06:56:46,429 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 39/130 [2025-03-11 06:56:46,460 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 40/130 [2025-03-11 06:56:46,492 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 41/130 [2025-03-11 06:56:46,522 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 42/130 [2025-03-11 06:56:46,559 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 43/130 [2025-03-11 06:56:46,592 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 44/130 [2025-03-11 06:56:46,624 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 45/130 [2025-03-11 06:56:46,656 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 46/130 [2025-03-11 06:56:46,687 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 47/130 [2025-03-11 06:56:46,720 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 48/130 [2025-03-11 06:56:46,751 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 49/130 [2025-03-11 06:56:46,783 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 50/130 [2025-03-11 06:56:46,814 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 51/130 [2025-03-11 06:56:46,845 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 52/130 [2025-03-11 06:56:46,875 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 53/130 [2025-03-11 06:56:46,905 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 54/130 [2025-03-11 06:56:46,939 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 55/130 [2025-03-11 06:56:46,968 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 56/130 [2025-03-11 06:56:47,003 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 57/130 [2025-03-11 06:56:47,035 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 58/130 [2025-03-11 06:56:47,076 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 59/130 [2025-03-11 06:56:47,107 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 60/130 [2025-03-11 06:56:47,137 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 61/130 [2025-03-11 06:56:47,168 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 62/130 [2025-03-11 06:56:47,201 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 63/130 [2025-03-11 06:56:47,232 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 64/130 [2025-03-11 06:56:47,264 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 65/130 [2025-03-11 06:56:47,295 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 66/130 [2025-03-11 06:56:47,327 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 67/130 [2025-03-11 06:56:47,357 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 68/130 [2025-03-11 06:56:47,388 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 69/130 [2025-03-11 06:56:47,419 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 70/130 [2025-03-11 06:56:47,450 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 71/130 [2025-03-11 06:56:47,481 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 72/130 [2025-03-11 06:56:47,512 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 73/130 [2025-03-11 06:56:47,544 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 74/130 [2025-03-11 06:56:47,576 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 75/130 [2025-03-11 06:56:47,606 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 76/130 [2025-03-11 06:56:47,636 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 77/130 [2025-03-11 06:56:47,667 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 78/130 [2025-03-11 06:56:47,696 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 79/130 [2025-03-11 06:56:47,727 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 80/130 [2025-03-11 06:56:47,756 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 81/130 [2025-03-11 06:56:47,793 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 82/130 [2025-03-11 06:56:47,824 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 83/130 [2025-03-11 06:56:47,856 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 84/130 [2025-03-11 06:56:47,889 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 85/130 [2025-03-11 06:56:47,921 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 86/130 [2025-03-11 06:56:47,954 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 87/130 [2025-03-11 06:56:47,987 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 88/130 [2025-03-11 06:56:48,020 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 89/130 [2025-03-11 06:56:48,052 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 90/130 [2025-03-11 06:56:48,083 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 91/130 [2025-03-11 06:56:48,116 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 92/130 [2025-03-11 06:56:48,147 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 93/130 [2025-03-11 06:56:48,189 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 94/130 [2025-03-11 06:56:48,221 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 95/130 [2025-03-11 06:56:48,253 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 96/130 [2025-03-11 06:56:48,285 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 97/130 [2025-03-11 06:56:48,319 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 98/130 [2025-03-11 06:56:48,351 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 99/130 [2025-03-11 06:56:48,383 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 100/130 [2025-03-11 06:56:48,416 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 101/130 [2025-03-11 06:56:48,448 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 102/130 [2025-03-11 06:56:48,480 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 103/130 [2025-03-11 06:56:48,513 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 104/130 [2025-03-11 06:56:48,544 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 105/130 [2025-03-11 06:56:48,576 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 106/130 [2025-03-11 06:56:48,609 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 107/130 [2025-03-11 06:56:48,640 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 108/130 [2025-03-11 06:56:48,675 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 109/130 [2025-03-11 06:56:48,707 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 110/130 [2025-03-11 06:56:48,739 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 111/130 [2025-03-11 06:56:48,778 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 112/130 [2025-03-11 06:56:48,810 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 113/130 [2025-03-11 06:56:48,842 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 114/130 [2025-03-11 06:56:48,874 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 115/130 [2025-03-11 06:56:48,906 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 116/130 [2025-03-11 06:56:48,938 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 117/130 [2025-03-11 06:56:48,970 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 118/130 [2025-03-11 06:56:49,003 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 119/130 [2025-03-11 06:56:49,034 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 120/130 [2025-03-11 06:56:49,073 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 121/130 [2025-03-11 06:56:49,104 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 122/130 [2025-03-11 06:56:49,135 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 123/130 [2025-03-11 06:56:49,166 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 124/130 [2025-03-11 06:56:49,197 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 125/130 [2025-03-11 06:56:49,228 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 126/130 [2025-03-11 06:56:49,259 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 127/130 [2025-03-11 06:56:49,289 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 128/130 [2025-03-11 06:56:49,320 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 129/130 [2025-03-11 06:56:49,510 INFO test.py line 291 2389709] Test: scene0257_00 [9/78]-180928 Batch 4.475 (3.965) Accuracy 0.8416 (0.1979) mIoU 0.1671 (0.1764) [2025-03-11 06:56:49,555 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 0/130 [2025-03-11 06:56:49,579 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 1/130 [2025-03-11 06:56:49,603 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 2/130 [2025-03-11 06:56:49,627 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 3/130 [2025-03-11 06:56:49,652 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 4/130 [2025-03-11 06:56:49,677 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 5/130 [2025-03-11 06:56:49,702 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 6/130 [2025-03-11 06:56:49,726 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 7/130 [2025-03-11 06:56:49,750 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 8/130 [2025-03-11 06:56:49,780 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 9/130 [2025-03-11 06:56:49,804 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 10/130 [2025-03-11 06:56:49,828 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 11/130 [2025-03-11 06:56:49,851 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 12/130 [2025-03-11 06:56:49,875 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 13/130 [2025-03-11 06:56:49,899 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 14/130 [2025-03-11 06:56:49,922 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 15/130 [2025-03-11 06:56:49,946 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 16/130 [2025-03-11 06:56:49,970 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 17/130 [2025-03-11 06:56:49,994 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 18/130 [2025-03-11 06:56:50,018 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 19/130 [2025-03-11 06:56:50,042 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 20/130 [2025-03-11 06:56:50,066 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 21/130 [2025-03-11 06:56:50,090 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 22/130 [2025-03-11 06:56:50,114 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 23/130 [2025-03-11 06:56:50,138 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 24/130 [2025-03-11 06:56:50,162 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 25/130 [2025-03-11 06:56:50,186 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 26/130 [2025-03-11 06:56:50,209 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 27/130 [2025-03-11 06:56:50,233 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 28/130 [2025-03-11 06:56:50,255 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 29/130 [2025-03-11 06:56:50,281 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 30/130 [2025-03-11 06:56:50,305 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 31/130 [2025-03-11 06:56:50,333 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 32/130 [2025-03-11 06:56:50,359 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 33/130 [2025-03-11 06:56:50,383 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 34/130 [2025-03-11 06:56:50,408 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 35/130 [2025-03-11 06:56:50,433 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 36/130 [2025-03-11 06:56:50,457 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 37/130 [2025-03-11 06:56:50,481 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 38/130 [2025-03-11 06:56:50,506 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 39/130 [2025-03-11 06:56:50,529 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 40/130 [2025-03-11 06:56:50,554 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 41/130 [2025-03-11 06:56:50,579 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 42/130 [2025-03-11 06:56:50,604 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 43/130 [2025-03-11 06:56:50,628 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 44/130 [2025-03-11 06:56:50,659 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 45/130 [2025-03-11 06:56:50,691 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 46/130 [2025-03-11 06:56:50,721 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 47/130 [2025-03-11 06:56:50,752 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 48/130 [2025-03-11 06:56:50,784 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 49/130 [2025-03-11 06:56:50,815 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 50/130 [2025-03-11 06:56:50,845 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 51/130 [2025-03-11 06:56:50,884 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 52/130 [2025-03-11 06:56:50,919 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 53/130 [2025-03-11 06:56:50,959 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 54/130 [2025-03-11 06:56:50,990 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 55/130 [2025-03-11 06:56:51,024 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 56/130 [2025-03-11 06:56:51,053 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 57/130 [2025-03-11 06:56:51,086 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 58/130 [2025-03-11 06:56:51,114 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 59/130 [2025-03-11 06:56:51,146 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 60/130 [2025-03-11 06:56:51,332 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 61/130 [2025-03-11 06:56:51,365 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 62/130 [2025-03-11 06:56:51,389 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 63/130 [2025-03-11 06:56:51,413 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 64/130 [2025-03-11 06:56:51,437 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 65/130 [2025-03-11 06:56:51,462 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 66/130 [2025-03-11 06:56:51,486 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 67/130 [2025-03-11 06:56:51,509 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 68/130 [2025-03-11 06:56:51,532 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 69/130 [2025-03-11 06:56:51,556 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 70/130 [2025-03-11 06:56:51,580 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 71/130 [2025-03-11 06:56:51,605 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 72/130 [2025-03-11 06:56:51,628 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 73/130 [2025-03-11 06:56:51,653 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 74/130 [2025-03-11 06:56:51,677 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 75/130 [2025-03-11 06:56:51,703 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 76/130 [2025-03-11 06:56:51,726 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 77/130 [2025-03-11 06:56:51,750 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 78/130 [2025-03-11 06:56:51,774 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 79/130 [2025-03-11 06:56:51,798 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 80/130 [2025-03-11 06:56:51,822 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 81/130 [2025-03-11 06:56:51,845 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 82/130 [2025-03-11 06:56:51,869 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 83/130 [2025-03-11 06:56:51,894 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 84/130 [2025-03-11 06:56:51,929 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 85/130 [2025-03-11 06:56:51,954 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 86/130 [2025-03-11 06:56:51,979 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 87/130 [2025-03-11 06:56:52,006 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 88/130 [2025-03-11 06:56:52,030 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 89/130 [2025-03-11 06:56:52,055 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 90/130 [2025-03-11 06:56:52,080 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 91/130 [2025-03-11 06:56:52,106 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 92/130 [2025-03-11 06:56:52,131 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 93/130 [2025-03-11 06:56:52,157 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 94/130 [2025-03-11 06:56:52,183 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 95/130 [2025-03-11 06:56:52,212 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 96/130 [2025-03-11 06:56:52,243 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 97/130 [2025-03-11 06:56:52,274 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 98/130 [2025-03-11 06:56:52,305 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 99/130 [2025-03-11 06:56:52,338 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 100/130 [2025-03-11 06:56:52,368 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 101/130 [2025-03-11 06:56:52,397 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 102/130 [2025-03-11 06:56:52,426 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 103/130 [2025-03-11 06:56:52,456 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 104/130 [2025-03-11 06:56:52,484 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 105/130 [2025-03-11 06:56:52,516 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 106/130 [2025-03-11 06:56:52,546 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 107/130 [2025-03-11 06:56:52,578 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 108/130 [2025-03-11 06:56:52,608 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 109/130 [2025-03-11 06:56:52,638 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 110/130 [2025-03-11 06:56:52,666 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 111/130 [2025-03-11 06:56:52,698 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 112/130 [2025-03-11 06:56:52,731 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 113/130 [2025-03-11 06:56:52,762 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 114/130 [2025-03-11 06:56:52,786 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 115/130 [2025-03-11 06:56:52,810 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 116/130 [2025-03-11 06:56:52,834 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 117/130 [2025-03-11 06:56:52,859 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 118/130 [2025-03-11 06:56:52,885 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 119/130 [2025-03-11 06:56:52,908 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 120/130 [2025-03-11 06:56:52,933 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 121/130 [2025-03-11 06:56:53,007 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 122/130 [2025-03-11 06:56:53,191 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 123/130 [2025-03-11 06:56:53,302 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 124/130 [2025-03-11 06:56:53,354 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 125/130 [2025-03-11 06:56:53,393 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 126/130 [2025-03-11 06:56:53,429 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 127/130 [2025-03-11 06:56:53,456 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 128/130 [2025-03-11 06:56:53,480 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 129/130 [2025-03-11 06:56:53,581 INFO test.py line 291 2389709] Test: scene0164_01 [10/78]-88073 Batch 4.070 (3.976) Accuracy 0.8266 (0.2466) mIoU 0.4604 (0.2195) [2025-03-11 06:56:53,691 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 0/130 [2025-03-11 06:56:53,733 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 1/130 [2025-03-11 06:56:53,775 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 2/130 [2025-03-11 06:56:53,826 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 3/130 [2025-03-11 06:56:53,869 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 4/130 [2025-03-11 06:56:53,921 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 5/130 [2025-03-11 06:56:53,963 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 6/130 [2025-03-11 06:56:54,004 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 7/130 [2025-03-11 06:56:54,045 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 8/130 [2025-03-11 06:56:54,087 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 9/130 [2025-03-11 06:56:54,130 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 10/130 [2025-03-11 06:56:54,171 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 11/130 [2025-03-11 06:56:54,214 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 12/130 [2025-03-11 06:56:54,257 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 13/130 [2025-03-11 06:56:54,301 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 14/130 [2025-03-11 06:56:54,343 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 15/130 [2025-03-11 06:56:54,385 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 16/130 [2025-03-11 06:56:54,428 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 17/130 [2025-03-11 06:56:54,470 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 18/130 [2025-03-11 06:56:54,512 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 19/130 [2025-03-11 06:56:54,553 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 20/130 [2025-03-11 06:56:54,597 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 21/130 [2025-03-11 06:56:54,640 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 22/130 [2025-03-11 06:56:54,683 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 23/130 [2025-03-11 06:56:54,732 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 24/130 [2025-03-11 06:56:54,776 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 25/130 [2025-03-11 06:56:54,819 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 26/130 [2025-03-11 06:56:54,861 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 27/130 [2025-03-11 06:56:54,904 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 28/130 [2025-03-11 06:56:54,946 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 29/130 [2025-03-11 06:56:54,998 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 30/130 [2025-03-11 06:56:55,042 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 31/130 [2025-03-11 06:56:55,083 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 32/130 [2025-03-11 06:56:55,125 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 33/130 [2025-03-11 06:56:55,170 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 34/130 [2025-03-11 06:56:55,215 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 35/130 [2025-03-11 06:56:55,258 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 36/130 [2025-03-11 06:56:55,300 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 37/130 [2025-03-11 06:56:55,346 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 38/130 [2025-03-11 06:56:55,394 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 39/130 [2025-03-11 06:56:55,444 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 40/130 [2025-03-11 06:56:55,488 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 41/130 [2025-03-11 06:56:55,532 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 42/130 [2025-03-11 06:56:55,576 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 43/130 [2025-03-11 06:56:55,625 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 44/130 [2025-03-11 06:56:55,673 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 45/130 [2025-03-11 06:56:55,721 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 46/130 [2025-03-11 06:56:55,762 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 47/130 [2025-03-11 06:56:55,803 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 48/130 [2025-03-11 06:56:55,844 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 49/130 [2025-03-11 06:56:55,886 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 50/130 [2025-03-11 06:56:55,926 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 51/130 [2025-03-11 06:56:55,967 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 52/130 [2025-03-11 06:56:56,009 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 53/130 [2025-03-11 06:56:56,049 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 54/130 [2025-03-11 06:56:56,091 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 55/130 [2025-03-11 06:56:56,135 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 56/130 [2025-03-11 06:56:56,175 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 57/130 [2025-03-11 06:56:56,215 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 58/130 [2025-03-11 06:56:56,263 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 59/130 [2025-03-11 06:56:56,304 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 60/130 [2025-03-11 06:56:56,344 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 61/130 [2025-03-11 06:56:56,385 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 62/130 [2025-03-11 06:56:56,425 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 63/130 [2025-03-11 06:56:56,466 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 64/130 [2025-03-11 06:56:56,508 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 65/130 [2025-03-11 06:56:56,555 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 66/130 [2025-03-11 06:56:56,595 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 67/130 [2025-03-11 06:56:56,642 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 68/130 [2025-03-11 06:56:56,692 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 69/130 [2025-03-11 06:56:56,733 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 70/130 [2025-03-11 06:56:56,775 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 71/130 [2025-03-11 06:56:56,818 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 72/130 [2025-03-11 06:56:56,860 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 73/130 [2025-03-11 06:56:56,927 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 74/130 [2025-03-11 06:56:56,969 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 75/130 [2025-03-11 06:56:57,010 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 76/130 [2025-03-11 06:56:57,052 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 77/130 [2025-03-11 06:56:57,095 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 78/130 [2025-03-11 06:56:57,143 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 79/130 [2025-03-11 06:56:57,186 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 80/130 [2025-03-11 06:56:57,254 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 81/130 [2025-03-11 06:56:57,295 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 82/130 [2025-03-11 06:56:57,338 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 83/130 [2025-03-11 06:56:57,384 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 84/130 [2025-03-11 06:56:57,434 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 85/130 [2025-03-11 06:56:57,483 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 86/130 [2025-03-11 06:56:57,528 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 87/130 [2025-03-11 06:56:57,585 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 88/130 [2025-03-11 06:56:57,636 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 89/130 [2025-03-11 06:56:57,687 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 90/130 [2025-03-11 06:56:57,739 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 91/130 [2025-03-11 06:56:57,793 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 92/130 [2025-03-11 06:56:57,844 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 93/130 [2025-03-11 06:56:57,902 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 94/130 [2025-03-11 06:56:57,956 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 95/130 [2025-03-11 06:56:58,037 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 96/130 [2025-03-11 06:56:58,093 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 97/130 [2025-03-11 06:56:58,148 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 98/130 [2025-03-11 06:56:58,194 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 99/130 [2025-03-11 06:56:58,239 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 100/130 [2025-03-11 06:56:58,284 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 101/130 [2025-03-11 06:56:58,330 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 102/130 [2025-03-11 06:56:58,375 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 103/130 [2025-03-11 06:56:58,446 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 104/130 [2025-03-11 06:56:58,493 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 105/130 [2025-03-11 06:56:58,537 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 106/130 [2025-03-11 06:56:58,582 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 107/130 [2025-03-11 06:56:58,627 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 108/130 [2025-03-11 06:56:58,671 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 109/130 [2025-03-11 06:56:58,715 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 110/130 [2025-03-11 06:56:58,760 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 111/130 [2025-03-11 06:56:58,804 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 112/130 [2025-03-11 06:56:58,848 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 113/130 [2025-03-11 06:56:58,893 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 114/130 [2025-03-11 06:56:58,938 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 115/130 [2025-03-11 06:56:58,981 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 116/130 [2025-03-11 06:56:59,024 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 117/130 [2025-03-11 06:56:59,069 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 118/130 [2025-03-11 06:56:59,113 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 119/130 [2025-03-11 06:56:59,157 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 120/130 [2025-03-11 06:56:59,201 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 121/130 [2025-03-11 06:56:59,243 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 122/130 [2025-03-11 06:56:59,286 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 123/130 [2025-03-11 06:56:59,329 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 124/130 [2025-03-11 06:56:59,372 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 125/130 [2025-03-11 06:56:59,416 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 126/130 [2025-03-11 06:56:59,467 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 127/130 [2025-03-11 06:56:59,519 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 128/130 [2025-03-11 06:56:59,574 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 129/130 [2025-03-11 06:56:59,933 INFO test.py line 291 2389709] Test: scene0030_00 [11/78]-293811 Batch 6.352 (4.192) Accuracy 0.8444 (0.2576) mIoU 0.3774 (0.2281) [2025-03-11 06:57:00,001 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 0/143 [2025-03-11 06:57:00,032 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 1/143 [2025-03-11 06:57:00,061 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 2/143 [2025-03-11 06:57:00,091 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 3/143 [2025-03-11 06:57:00,122 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 4/143 [2025-03-11 06:57:00,150 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 5/143 [2025-03-11 06:57:00,179 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 6/143 [2025-03-11 06:57:00,209 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 7/143 [2025-03-11 06:57:00,239 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 8/143 [2025-03-11 06:57:00,269 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 9/143 [2025-03-11 06:57:00,298 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 10/143 [2025-03-11 06:57:00,332 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 11/143 [2025-03-11 06:57:00,361 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 12/143 [2025-03-11 06:57:00,389 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 13/143 [2025-03-11 06:57:00,418 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 14/143 [2025-03-11 06:57:00,447 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 15/143 [2025-03-11 06:57:00,476 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 16/143 [2025-03-11 06:57:00,519 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 17/143 [2025-03-11 06:57:00,549 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 18/143 [2025-03-11 06:57:00,578 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 19/143 [2025-03-11 06:57:00,608 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 20/143 [2025-03-11 06:57:00,636 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 21/143 [2025-03-11 06:57:00,665 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 22/143 [2025-03-11 06:57:00,694 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 23/143 [2025-03-11 06:57:00,723 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 24/143 [2025-03-11 06:57:00,753 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 25/143 [2025-03-11 06:57:00,782 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 26/143 [2025-03-11 06:57:00,811 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 27/143 [2025-03-11 06:57:00,839 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 28/143 [2025-03-11 06:57:00,868 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 29/143 [2025-03-11 06:57:00,907 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 30/143 [2025-03-11 06:57:00,938 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 31/143 [2025-03-11 06:57:00,969 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 32/143 [2025-03-11 06:57:00,997 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 33/143 [2025-03-11 06:57:01,040 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 34/143 [2025-03-11 06:57:01,076 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 35/143 [2025-03-11 06:57:01,105 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 36/143 [2025-03-11 06:57:01,134 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 37/143 [2025-03-11 06:57:01,162 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 38/143 [2025-03-11 06:57:01,190 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 39/143 [2025-03-11 06:57:01,218 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 40/143 [2025-03-11 06:57:01,246 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 41/143 [2025-03-11 06:57:01,280 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 42/143 [2025-03-11 06:57:01,311 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 43/143 [2025-03-11 06:57:01,339 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 44/143 [2025-03-11 06:57:01,369 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 45/143 [2025-03-11 06:57:01,396 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 46/143 [2025-03-11 06:57:01,423 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 47/143 [2025-03-11 06:57:01,451 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 48/143 [2025-03-11 06:57:01,479 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 49/143 [2025-03-11 06:57:01,506 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 50/143 [2025-03-11 06:57:01,533 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 51/143 [2025-03-11 06:57:01,561 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 52/143 [2025-03-11 06:57:01,589 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 53/143 [2025-03-11 06:57:01,617 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 54/143 [2025-03-11 06:57:01,660 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 55/143 [2025-03-11 06:57:01,687 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 56/143 [2025-03-11 06:57:01,714 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 57/143 [2025-03-11 06:57:01,741 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 58/143 [2025-03-11 06:57:01,769 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 59/143 [2025-03-11 06:57:01,796 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 60/143 [2025-03-11 06:57:01,824 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 61/143 [2025-03-11 06:57:01,852 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 62/143 [2025-03-11 06:57:01,880 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 63/143 [2025-03-11 06:57:01,907 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 64/143 [2025-03-11 06:57:01,935 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 65/143 [2025-03-11 06:57:01,963 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 66/143 [2025-03-11 06:57:01,990 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 67/143 [2025-03-11 06:57:02,018 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 68/143 [2025-03-11 06:57:02,045 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 69/143 [2025-03-11 06:57:02,072 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 70/143 [2025-03-11 06:57:02,100 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 71/143 [2025-03-11 06:57:02,130 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 72/143 [2025-03-11 06:57:02,162 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 73/143 [2025-03-11 06:57:02,196 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 74/143 [2025-03-11 06:57:02,223 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 75/143 [2025-03-11 06:57:02,249 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 76/143 [2025-03-11 06:57:02,286 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 77/143 [2025-03-11 06:57:02,321 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 78/143 [2025-03-11 06:57:02,355 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 79/143 [2025-03-11 06:57:02,391 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 80/143 [2025-03-11 06:57:02,428 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 81/143 [2025-03-11 06:57:02,467 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 82/143 [2025-03-11 06:57:02,503 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 83/143 [2025-03-11 06:57:02,540 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 84/143 [2025-03-11 06:57:02,573 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 85/143 [2025-03-11 06:57:02,607 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 86/143 [2025-03-11 06:57:02,639 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 87/143 [2025-03-11 06:57:02,675 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 88/143 [2025-03-11 06:57:02,711 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 89/143 [2025-03-11 06:57:02,749 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 90/143 [2025-03-11 06:57:02,783 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 91/143 [2025-03-11 06:57:02,813 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 92/143 [2025-03-11 06:57:02,843 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 93/143 [2025-03-11 06:57:02,873 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 94/143 [2025-03-11 06:57:02,903 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 95/143 [2025-03-11 06:57:02,932 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 96/143 [2025-03-11 06:57:02,961 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 97/143 [2025-03-11 06:57:02,991 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 98/143 [2025-03-11 06:57:03,021 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 99/143 [2025-03-11 06:57:03,051 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 100/143 [2025-03-11 06:57:03,081 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 101/143 [2025-03-11 06:57:03,111 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 102/143 [2025-03-11 06:57:03,140 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 103/143 [2025-03-11 06:57:03,170 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 104/143 [2025-03-11 06:57:03,200 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 105/143 [2025-03-11 06:57:03,230 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 106/143 [2025-03-11 06:57:03,259 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 107/143 [2025-03-11 06:57:03,289 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 108/143 [2025-03-11 06:57:03,318 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 109/143 [2025-03-11 06:57:03,347 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 110/143 [2025-03-11 06:57:03,376 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 111/143 [2025-03-11 06:57:03,405 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 112/143 [2025-03-11 06:57:03,434 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 113/143 [2025-03-11 06:57:03,463 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 114/143 [2025-03-11 06:57:03,492 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 115/143 [2025-03-11 06:57:03,521 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 116/143 [2025-03-11 06:57:03,551 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 117/143 [2025-03-11 06:57:03,580 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 118/143 [2025-03-11 06:57:03,609 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 119/143 [2025-03-11 06:57:03,638 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 120/143 [2025-03-11 06:57:03,667 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 121/143 [2025-03-11 06:57:03,697 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 122/143 [2025-03-11 06:57:03,727 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 123/143 [2025-03-11 06:57:03,756 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 124/143 [2025-03-11 06:57:03,786 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 125/143 [2025-03-11 06:57:03,816 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 126/143 [2025-03-11 06:57:03,845 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 127/143 [2025-03-11 06:57:03,874 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 128/143 [2025-03-11 06:57:03,903 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 129/143 [2025-03-11 06:57:03,932 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 130/143 [2025-03-11 06:57:03,961 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 131/143 [2025-03-11 06:57:03,991 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 132/143 [2025-03-11 06:57:04,021 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 133/143 [2025-03-11 06:57:04,050 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 134/143 [2025-03-11 06:57:04,080 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 135/143 [2025-03-11 06:57:04,110 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 136/143 [2025-03-11 06:57:04,140 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 137/143 [2025-03-11 06:57:04,170 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 138/143 [2025-03-11 06:57:04,199 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 139/143 [2025-03-11 06:57:04,229 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 140/143 [2025-03-11 06:57:04,259 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 141/143 [2025-03-11 06:57:04,289 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 142/143 [2025-03-11 06:57:04,453 INFO test.py line 291 2389709] Test: scene0088_01 [12/78]-145650 Batch 4.519 (4.219) Accuracy 0.7023 (0.2570) mIoU 0.4389 (0.2259) [2025-03-11 06:57:04,513 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 0/134 [2025-03-11 06:57:04,541 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 1/134 [2025-03-11 06:57:04,568 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 2/134 [2025-03-11 06:57:04,596 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 3/134 [2025-03-11 06:57:04,623 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 4/134 [2025-03-11 06:57:04,649 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 5/134 [2025-03-11 06:57:04,677 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 6/134 [2025-03-11 06:57:04,705 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 7/134 [2025-03-11 06:57:04,732 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 8/134 [2025-03-11 06:57:04,760 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 9/134 [2025-03-11 06:57:04,787 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 10/134 [2025-03-11 06:57:04,814 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 11/134 [2025-03-11 06:57:04,845 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 12/134 [2025-03-11 06:57:04,879 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 13/134 [2025-03-11 06:57:04,918 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 14/134 [2025-03-11 06:57:04,946 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 15/134 [2025-03-11 06:57:04,974 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 16/134 [2025-03-11 06:57:05,001 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 17/134 [2025-03-11 06:57:05,028 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 18/134 [2025-03-11 06:57:05,055 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 19/134 [2025-03-11 06:57:05,082 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 20/134 [2025-03-11 06:57:05,108 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 21/134 [2025-03-11 06:57:05,136 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 22/134 [2025-03-11 06:57:05,163 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 23/134 [2025-03-11 06:57:05,188 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 24/134 [2025-03-11 06:57:05,215 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 25/134 [2025-03-11 06:57:05,242 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 26/134 [2025-03-11 06:57:05,269 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 27/134 [2025-03-11 06:57:05,296 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 28/134 [2025-03-11 06:57:05,323 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 29/134 [2025-03-11 06:57:05,349 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 30/134 [2025-03-11 06:57:05,374 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 31/134 [2025-03-11 06:57:05,400 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 32/134 [2025-03-11 06:57:05,427 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 33/134 [2025-03-11 06:57:05,454 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 34/134 [2025-03-11 06:57:05,481 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 35/134 [2025-03-11 06:57:05,508 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 36/134 [2025-03-11 06:57:05,534 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 37/134 [2025-03-11 06:57:05,560 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 38/134 [2025-03-11 06:57:05,592 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 39/134 [2025-03-11 06:57:05,627 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 40/134 [2025-03-11 06:57:05,652 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 41/134 [2025-03-11 06:57:05,677 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 42/134 [2025-03-11 06:57:05,702 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 43/134 [2025-03-11 06:57:05,732 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 44/134 [2025-03-11 06:57:05,756 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 45/134 [2025-03-11 06:57:05,782 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 46/134 [2025-03-11 06:57:05,807 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 47/134 [2025-03-11 06:57:05,835 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 48/134 [2025-03-11 06:57:05,861 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 49/134 [2025-03-11 06:57:05,887 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 50/134 [2025-03-11 06:57:05,912 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 51/134 [2025-03-11 06:57:05,945 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 52/134 [2025-03-11 06:57:05,970 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 53/134 [2025-03-11 06:57:05,995 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 54/134 [2025-03-11 06:57:06,020 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 55/134 [2025-03-11 06:57:06,058 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 56/134 [2025-03-11 06:57:06,083 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 57/134 [2025-03-11 06:57:06,108 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 58/134 [2025-03-11 06:57:06,134 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 59/134 [2025-03-11 06:57:06,160 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 60/134 [2025-03-11 06:57:06,186 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 61/134 [2025-03-11 06:57:06,216 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 62/134 [2025-03-11 06:57:06,243 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 63/134 [2025-03-11 06:57:06,269 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 64/134 [2025-03-11 06:57:06,294 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 65/134 [2025-03-11 06:57:06,319 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 66/134 [2025-03-11 06:57:06,345 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 67/134 [2025-03-11 06:57:06,371 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 68/134 [2025-03-11 06:57:06,396 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 69/134 [2025-03-11 06:57:06,420 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 70/134 [2025-03-11 06:57:06,445 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 71/134 [2025-03-11 06:57:06,473 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 72/134 [2025-03-11 06:57:06,500 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 73/134 [2025-03-11 06:57:06,526 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 74/134 [2025-03-11 06:57:06,552 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 75/134 [2025-03-11 06:57:06,578 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 76/134 [2025-03-11 06:57:06,604 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 77/134 [2025-03-11 06:57:06,644 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 78/134 [2025-03-11 06:57:06,685 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 79/134 [2025-03-11 06:57:06,715 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 80/134 [2025-03-11 06:57:06,750 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 81/134 [2025-03-11 06:57:06,785 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 82/134 [2025-03-11 06:57:06,819 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 83/134 [2025-03-11 06:57:06,853 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 84/134 [2025-03-11 06:57:06,890 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 85/134 [2025-03-11 06:57:06,925 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 86/134 [2025-03-11 06:57:06,956 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 87/134 [2025-03-11 06:57:06,991 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 88/134 [2025-03-11 06:57:07,034 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 89/134 [2025-03-11 06:57:07,077 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 90/134 [2025-03-11 06:57:07,126 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 91/134 [2025-03-11 06:57:07,177 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 92/134 [2025-03-11 06:57:07,209 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 93/134 [2025-03-11 06:57:07,236 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 94/134 [2025-03-11 06:57:07,264 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 95/134 [2025-03-11 06:57:07,303 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 96/134 [2025-03-11 06:57:07,331 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 97/134 [2025-03-11 06:57:07,358 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 98/134 [2025-03-11 06:57:07,385 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 99/134 [2025-03-11 06:57:07,411 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 100/134 [2025-03-11 06:57:07,439 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 101/134 [2025-03-11 06:57:07,465 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 102/134 [2025-03-11 06:57:07,492 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 103/134 [2025-03-11 06:57:07,520 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 104/134 [2025-03-11 06:57:07,548 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 105/134 [2025-03-11 06:57:07,577 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 106/134 [2025-03-11 06:57:07,604 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 107/134 [2025-03-11 06:57:07,632 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 108/134 [2025-03-11 06:57:07,660 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 109/134 [2025-03-11 06:57:07,688 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 110/134 [2025-03-11 06:57:07,715 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 111/134 [2025-03-11 06:57:07,742 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 112/134 [2025-03-11 06:57:07,769 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 113/134 [2025-03-11 06:57:07,796 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 114/134 [2025-03-11 06:57:07,823 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 115/134 [2025-03-11 06:57:07,849 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 116/134 [2025-03-11 06:57:07,875 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 117/134 [2025-03-11 06:57:07,902 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 118/134 [2025-03-11 06:57:07,959 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 119/134 [2025-03-11 06:57:08,001 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 120/134 [2025-03-11 06:57:08,037 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 121/134 [2025-03-11 06:57:08,073 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 122/134 [2025-03-11 06:57:08,109 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 123/134 [2025-03-11 06:57:08,145 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 124/134 [2025-03-11 06:57:08,180 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 125/134 [2025-03-11 06:57:08,217 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 126/134 [2025-03-11 06:57:08,245 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 127/134 [2025-03-11 06:57:08,270 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 128/134 [2025-03-11 06:57:08,296 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 129/134 [2025-03-11 06:57:08,332 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 130/134 [2025-03-11 06:57:08,361 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 131/134 [2025-03-11 06:57:08,388 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 132/134 [2025-03-11 06:57:08,414 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 133/134 [2025-03-11 06:57:08,529 INFO test.py line 291 2389709] Test: scene0690_01 [13/78]-109935 Batch 4.076 (4.208) Accuracy 0.8267 (0.2709) mIoU 0.3516 (0.2379) [2025-03-11 06:57:08,592 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 0/126 [2025-03-11 06:57:08,649 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 1/126 [2025-03-11 06:57:08,677 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 2/126 [2025-03-11 06:57:08,708 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 3/126 [2025-03-11 06:57:08,738 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 4/126 [2025-03-11 06:57:08,783 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 5/126 [2025-03-11 06:57:08,816 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 6/126 [2025-03-11 06:57:08,846 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 7/126 [2025-03-11 06:57:08,876 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 8/126 [2025-03-11 06:57:08,905 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 9/126 [2025-03-11 06:57:08,934 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 10/126 [2025-03-11 06:57:08,965 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 11/126 [2025-03-11 06:57:08,995 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 12/126 [2025-03-11 06:57:09,024 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 13/126 [2025-03-11 06:57:09,067 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 14/126 [2025-03-11 06:57:09,105 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 15/126 [2025-03-11 06:57:09,138 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 16/126 [2025-03-11 06:57:09,169 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 17/126 [2025-03-11 06:57:09,200 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 18/126 [2025-03-11 06:57:09,230 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 19/126 [2025-03-11 06:57:09,261 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 20/126 [2025-03-11 06:57:09,291 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 21/126 [2025-03-11 06:57:09,320 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 22/126 [2025-03-11 06:57:09,353 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 23/126 [2025-03-11 06:57:09,382 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 24/126 [2025-03-11 06:57:09,419 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 25/126 [2025-03-11 06:57:09,450 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 26/126 [2025-03-11 06:57:09,479 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 27/126 [2025-03-11 06:57:09,507 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 28/126 [2025-03-11 06:57:09,535 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 29/126 [2025-03-11 06:57:09,572 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 30/126 [2025-03-11 06:57:09,605 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 31/126 [2025-03-11 06:57:09,639 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 32/126 [2025-03-11 06:57:09,671 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 33/126 [2025-03-11 06:57:09,706 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 34/126 [2025-03-11 06:57:09,735 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 35/126 [2025-03-11 06:57:09,765 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 36/126 [2025-03-11 06:57:09,794 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 37/126 [2025-03-11 06:57:09,823 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 38/126 [2025-03-11 06:57:09,852 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 39/126 [2025-03-11 06:57:09,893 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 40/126 [2025-03-11 06:57:09,926 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 41/126 [2025-03-11 06:57:09,959 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 42/126 [2025-03-11 06:57:10,000 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 43/126 [2025-03-11 06:57:10,035 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 44/126 [2025-03-11 06:57:10,070 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 45/126 [2025-03-11 06:57:10,109 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 46/126 [2025-03-11 06:57:10,147 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 47/126 [2025-03-11 06:57:10,195 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 48/126 [2025-03-11 06:57:10,235 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 49/126 [2025-03-11 06:57:10,279 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 50/126 [2025-03-11 06:57:10,321 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 51/126 [2025-03-11 06:57:10,361 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 52/126 [2025-03-11 06:57:10,398 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 53/126 [2025-03-11 06:57:10,433 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 54/126 [2025-03-11 06:57:10,462 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 55/126 [2025-03-11 06:57:10,491 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 56/126 [2025-03-11 06:57:10,519 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 57/126 [2025-03-11 06:57:10,559 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 58/126 [2025-03-11 06:57:10,586 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 59/126 [2025-03-11 06:57:10,618 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 60/126 [2025-03-11 06:57:10,652 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 61/126 [2025-03-11 06:57:10,685 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 62/126 [2025-03-11 06:57:10,713 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 63/126 [2025-03-11 06:57:10,740 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 64/126 [2025-03-11 06:57:10,767 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 65/126 [2025-03-11 06:57:10,794 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 66/126 [2025-03-11 06:57:10,821 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 67/126 [2025-03-11 06:57:10,854 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 68/126 [2025-03-11 06:57:10,884 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 69/126 [2025-03-11 06:57:10,912 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 70/126 [2025-03-11 06:57:10,940 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 71/126 [2025-03-11 06:57:10,967 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 72/126 [2025-03-11 06:57:10,994 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 73/126 [2025-03-11 06:57:11,021 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 74/126 [2025-03-11 06:57:11,049 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 75/126 [2025-03-11 06:57:11,076 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 76/126 [2025-03-11 06:57:11,103 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 77/126 [2025-03-11 06:57:11,130 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 78/126 [2025-03-11 06:57:11,165 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 79/126 [2025-03-11 06:57:11,195 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 80/126 [2025-03-11 06:57:11,225 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 81/126 [2025-03-11 06:57:11,255 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 82/126 [2025-03-11 06:57:11,285 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 83/126 [2025-03-11 06:57:11,315 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 84/126 [2025-03-11 06:57:11,345 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 85/126 [2025-03-11 06:57:11,376 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 86/126 [2025-03-11 06:57:11,406 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 87/126 [2025-03-11 06:57:11,436 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 88/126 [2025-03-11 06:57:11,465 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 89/126 [2025-03-11 06:57:11,494 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 90/126 [2025-03-11 06:57:11,525 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 91/126 [2025-03-11 06:57:11,555 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 92/126 [2025-03-11 06:57:11,585 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 93/126 [2025-03-11 06:57:11,615 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 94/126 [2025-03-11 06:57:11,645 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 95/126 [2025-03-11 06:57:11,675 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 96/126 [2025-03-11 06:57:11,704 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 97/126 [2025-03-11 06:57:11,734 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 98/126 [2025-03-11 06:57:11,764 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 99/126 [2025-03-11 06:57:11,794 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 100/126 [2025-03-11 06:57:11,824 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 101/126 [2025-03-11 06:57:11,853 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 102/126 [2025-03-11 06:57:11,884 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 103/126 [2025-03-11 06:57:11,913 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 104/126 [2025-03-11 06:57:11,942 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 105/126 [2025-03-11 06:57:11,972 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 106/126 [2025-03-11 06:57:12,001 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 107/126 [2025-03-11 06:57:12,031 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 108/126 [2025-03-11 06:57:12,061 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 109/126 [2025-03-11 06:57:12,089 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 110/126 [2025-03-11 06:57:12,118 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 111/126 [2025-03-11 06:57:12,147 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 112/126 [2025-03-11 06:57:12,176 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 113/126 [2025-03-11 06:57:12,218 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 114/126 [2025-03-11 06:57:12,252 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 115/126 [2025-03-11 06:57:12,288 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 116/126 [2025-03-11 06:57:12,319 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 117/126 [2025-03-11 06:57:12,360 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 118/126 [2025-03-11 06:57:12,389 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 119/126 [2025-03-11 06:57:12,417 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 120/126 [2025-03-11 06:57:12,457 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 121/126 [2025-03-11 06:57:12,499 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 122/126 [2025-03-11 06:57:12,540 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 123/126 [2025-03-11 06:57:12,570 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 124/126 [2025-03-11 06:57:12,598 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 125/126 [2025-03-11 06:57:12,772 INFO test.py line 291 2389709] Test: scene0598_00 [14/78]-145562 Batch 4.243 (4.210) Accuracy 0.4621 (0.2724) mIoU 0.4329 (0.2353) [2025-03-11 06:57:12,829 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 0/138 [2025-03-11 06:57:12,857 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 1/138 [2025-03-11 06:57:12,883 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 2/138 [2025-03-11 06:57:12,911 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 3/138 [2025-03-11 06:57:12,938 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 4/138 [2025-03-11 06:57:12,965 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 5/138 [2025-03-11 06:57:12,992 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 6/138 [2025-03-11 06:57:13,036 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 7/138 [2025-03-11 06:57:13,081 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 8/138 [2025-03-11 06:57:13,135 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 9/138 [2025-03-11 06:57:13,162 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 10/138 [2025-03-11 06:57:13,189 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 11/138 [2025-03-11 06:57:13,216 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 12/138 [2025-03-11 06:57:13,249 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 13/138 [2025-03-11 06:57:13,303 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 14/138 [2025-03-11 06:57:13,330 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 15/138 [2025-03-11 06:57:13,375 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 16/138 [2025-03-11 06:57:13,408 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 17/138 [2025-03-11 06:57:13,435 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 18/138 [2025-03-11 06:57:13,464 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 19/138 [2025-03-11 06:57:13,491 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 20/138 [2025-03-11 06:57:13,519 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 21/138 [2025-03-11 06:57:13,547 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 22/138 [2025-03-11 06:57:13,574 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 23/138 [2025-03-11 06:57:13,601 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 24/138 [2025-03-11 06:57:13,629 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 25/138 [2025-03-11 06:57:13,656 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 26/138 [2025-03-11 06:57:13,683 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 27/138 [2025-03-11 06:57:13,711 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 28/138 [2025-03-11 06:57:13,745 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 29/138 [2025-03-11 06:57:13,778 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 30/138 [2025-03-11 06:57:13,808 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 31/138 [2025-03-11 06:57:13,842 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 32/138 [2025-03-11 06:57:13,869 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 33/138 [2025-03-11 06:57:13,898 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 34/138 [2025-03-11 06:57:13,927 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 35/138 [2025-03-11 06:57:13,956 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 36/138 [2025-03-11 06:57:13,984 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 37/138 [2025-03-11 06:57:14,019 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 38/138 [2025-03-11 06:57:14,061 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 39/138 [2025-03-11 06:57:14,103 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 40/138 [2025-03-11 06:57:14,132 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 41/138 [2025-03-11 06:57:14,159 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 42/138 [2025-03-11 06:57:14,188 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 43/138 [2025-03-11 06:57:14,215 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 44/138 [2025-03-11 06:57:14,243 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 45/138 [2025-03-11 06:57:14,271 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 46/138 [2025-03-11 06:57:14,298 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 47/138 [2025-03-11 06:57:14,341 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 48/138 [2025-03-11 06:57:14,384 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 49/138 [2025-03-11 06:57:14,428 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 50/138 [2025-03-11 06:57:14,459 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 51/138 [2025-03-11 06:57:14,487 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 52/138 [2025-03-11 06:57:14,514 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 53/138 [2025-03-11 06:57:14,543 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 54/138 [2025-03-11 06:57:14,571 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 55/138 [2025-03-11 06:57:14,598 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 56/138 [2025-03-11 06:57:14,625 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 57/138 [2025-03-11 06:57:14,660 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 58/138 [2025-03-11 06:57:14,687 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 59/138 [2025-03-11 06:57:14,731 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 60/138 [2025-03-11 06:57:14,759 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 61/138 [2025-03-11 06:57:14,787 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 62/138 [2025-03-11 06:57:14,814 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 63/138 [2025-03-11 06:57:14,841 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 64/138 [2025-03-11 06:57:14,869 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 65/138 [2025-03-11 06:57:14,913 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 66/138 [2025-03-11 06:57:14,947 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 67/138 [2025-03-11 06:57:14,976 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 68/138 [2025-03-11 06:57:15,002 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 69/138 [2025-03-11 06:57:15,029 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 70/138 [2025-03-11 06:57:15,057 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 71/138 [2025-03-11 06:57:15,086 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 72/138 [2025-03-11 06:57:15,112 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 73/138 [2025-03-11 06:57:15,151 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 74/138 [2025-03-11 06:57:15,191 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 75/138 [2025-03-11 06:57:15,231 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 76/138 [2025-03-11 06:57:15,269 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 77/138 [2025-03-11 06:57:15,308 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 78/138 [2025-03-11 06:57:15,348 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 79/138 [2025-03-11 06:57:15,403 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 80/138 [2025-03-11 06:57:15,431 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 81/138 [2025-03-11 06:57:15,459 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 82/138 [2025-03-11 06:57:15,487 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 83/138 [2025-03-11 06:57:15,516 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 84/138 [2025-03-11 06:57:15,544 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 85/138 [2025-03-11 06:57:15,573 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 86/138 [2025-03-11 06:57:15,605 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 87/138 [2025-03-11 06:57:15,635 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 88/138 [2025-03-11 06:57:15,663 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 89/138 [2025-03-11 06:57:15,691 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 90/138 [2025-03-11 06:57:15,719 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 91/138 [2025-03-11 06:57:15,747 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 92/138 [2025-03-11 06:57:15,776 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 93/138 [2025-03-11 06:57:15,805 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 94/138 [2025-03-11 06:57:15,833 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 95/138 [2025-03-11 06:57:15,860 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 96/138 [2025-03-11 06:57:15,896 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 97/138 [2025-03-11 06:57:15,923 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 98/138 [2025-03-11 06:57:15,952 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 99/138 [2025-03-11 06:57:15,981 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 100/138 [2025-03-11 06:57:16,009 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 101/138 [2025-03-11 06:57:16,037 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 102/138 [2025-03-11 06:57:16,066 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 103/138 [2025-03-11 06:57:16,095 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 104/138 [2025-03-11 06:57:16,123 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 105/138 [2025-03-11 06:57:16,152 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 106/138 [2025-03-11 06:57:16,186 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 107/138 [2025-03-11 06:57:16,216 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 108/138 [2025-03-11 06:57:16,244 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 109/138 [2025-03-11 06:57:16,273 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 110/138 [2025-03-11 06:57:16,302 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 111/138 [2025-03-11 06:57:16,331 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 112/138 [2025-03-11 06:57:16,358 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 113/138 [2025-03-11 06:57:16,387 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 114/138 [2025-03-11 06:57:16,416 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 115/138 [2025-03-11 06:57:16,444 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 116/138 [2025-03-11 06:57:16,472 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 117/138 [2025-03-11 06:57:16,500 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 118/138 [2025-03-11 06:57:16,527 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 119/138 [2025-03-11 06:57:16,557 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 120/138 [2025-03-11 06:57:16,585 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 121/138 [2025-03-11 06:57:16,613 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 122/138 [2025-03-11 06:57:16,643 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 123/138 [2025-03-11 06:57:16,672 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 124/138 [2025-03-11 06:57:16,701 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 125/138 [2025-03-11 06:57:16,730 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 126/138 [2025-03-11 06:57:16,759 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 127/138 [2025-03-11 06:57:16,787 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 128/138 [2025-03-11 06:57:16,815 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 129/138 [2025-03-11 06:57:16,844 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 130/138 [2025-03-11 06:57:16,873 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 131/138 [2025-03-11 06:57:16,900 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 132/138 [2025-03-11 06:57:16,927 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 133/138 [2025-03-11 06:57:16,958 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 134/138 [2025-03-11 06:57:16,986 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 135/138 [2025-03-11 06:57:17,012 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 136/138 [2025-03-11 06:57:17,039 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 137/138 [2025-03-11 06:57:17,211 INFO test.py line 291 2389709] Test: scene0695_00 [15/78]-133418 Batch 4.439 (4.226) Accuracy 0.7116 (0.2797) mIoU 0.2752 (0.2388) [2025-03-11 06:57:17,277 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 0/122 [2025-03-11 06:57:17,323 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 1/122 [2025-03-11 06:57:17,367 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 2/122 [2025-03-11 06:57:17,421 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 3/122 [2025-03-11 06:57:17,462 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 4/122 [2025-03-11 06:57:17,509 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 5/122 [2025-03-11 06:57:17,555 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 6/122 [2025-03-11 06:57:17,600 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 7/122 [2025-03-11 06:57:17,639 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 8/122 [2025-03-11 06:57:17,669 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 9/122 [2025-03-11 06:57:17,699 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 10/122 [2025-03-11 06:57:17,730 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 11/122 [2025-03-11 06:57:17,764 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 12/122 [2025-03-11 06:57:17,796 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 13/122 [2025-03-11 06:57:17,838 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 14/122 [2025-03-11 06:57:17,886 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 15/122 [2025-03-11 06:57:17,942 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 16/122 [2025-03-11 06:57:17,969 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 17/122 [2025-03-11 06:57:18,003 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 18/122 [2025-03-11 06:57:18,031 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 19/122 [2025-03-11 06:57:18,060 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 20/122 [2025-03-11 06:57:18,100 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 21/122 [2025-03-11 06:57:18,126 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 22/122 [2025-03-11 06:57:18,151 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 23/122 [2025-03-11 06:57:18,182 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 24/122 [2025-03-11 06:57:18,208 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 25/122 [2025-03-11 06:57:18,232 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 26/122 [2025-03-11 06:57:18,273 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 27/122 [2025-03-11 06:57:18,298 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 28/122 [2025-03-11 06:57:18,323 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 29/122 [2025-03-11 06:57:18,349 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 30/122 [2025-03-11 06:57:18,374 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 31/122 [2025-03-11 06:57:18,399 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 32/122 [2025-03-11 06:57:18,437 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 33/122 [2025-03-11 06:57:18,462 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 34/122 [2025-03-11 06:57:18,487 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 35/122 [2025-03-11 06:57:18,513 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 36/122 [2025-03-11 06:57:18,538 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 37/122 [2025-03-11 06:57:18,564 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 38/122 [2025-03-11 06:57:18,590 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 39/122 [2025-03-11 06:57:18,616 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 40/122 [2025-03-11 06:57:18,640 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 41/122 [2025-03-11 06:57:18,666 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 42/122 [2025-03-11 06:57:18,692 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 43/122 [2025-03-11 06:57:18,717 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 44/122 [2025-03-11 06:57:18,741 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 45/122 [2025-03-11 06:57:18,765 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 46/122 [2025-03-11 06:57:18,789 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 47/122 [2025-03-11 06:57:18,814 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 48/122 [2025-03-11 06:57:18,837 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 49/122 [2025-03-11 06:57:18,869 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 50/122 [2025-03-11 06:57:18,905 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 51/122 [2025-03-11 06:57:18,939 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 52/122 [2025-03-11 06:57:18,969 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 53/122 [2025-03-11 06:57:18,994 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 54/122 [2025-03-11 06:57:19,019 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 55/122 [2025-03-11 06:57:19,043 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 56/122 [2025-03-11 06:57:19,066 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 57/122 [2025-03-11 06:57:19,090 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 58/122 [2025-03-11 06:57:19,113 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 59/122 [2025-03-11 06:57:19,137 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 60/122 [2025-03-11 06:57:19,160 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 61/122 [2025-03-11 06:57:19,184 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 62/122 [2025-03-11 06:57:19,207 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 63/122 [2025-03-11 06:57:19,232 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 64/122 [2025-03-11 06:57:19,256 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 65/122 [2025-03-11 06:57:19,283 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 66/122 [2025-03-11 06:57:19,307 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 67/122 [2025-03-11 06:57:19,333 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 68/122 [2025-03-11 06:57:19,359 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 69/122 [2025-03-11 06:57:19,387 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 70/122 [2025-03-11 06:57:19,417 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 71/122 [2025-03-11 06:57:19,441 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 72/122 [2025-03-11 06:57:19,466 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 73/122 [2025-03-11 06:57:19,489 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 74/122 [2025-03-11 06:57:19,518 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 75/122 [2025-03-11 06:57:19,570 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 76/122 [2025-03-11 06:57:19,594 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 77/122 [2025-03-11 06:57:19,617 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 78/122 [2025-03-11 06:57:19,645 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 79/122 [2025-03-11 06:57:19,673 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 80/122 [2025-03-11 06:57:19,699 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 81/122 [2025-03-11 06:57:19,724 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 82/122 [2025-03-11 06:57:19,747 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 83/122 [2025-03-11 06:57:19,771 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 84/122 [2025-03-11 06:57:19,795 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 85/122 [2025-03-11 06:57:19,820 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 86/122 [2025-03-11 06:57:19,844 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 87/122 [2025-03-11 06:57:19,868 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 88/122 [2025-03-11 06:57:19,900 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 89/122 [2025-03-11 06:57:19,924 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 90/122 [2025-03-11 06:57:19,951 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 91/122 [2025-03-11 06:57:19,985 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 92/122 [2025-03-11 06:57:20,016 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 93/122 [2025-03-11 06:57:20,051 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 94/122 [2025-03-11 06:57:20,085 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 95/122 [2025-03-11 06:57:20,115 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 96/122 [2025-03-11 06:57:20,146 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 97/122 [2025-03-11 06:57:20,175 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 98/122 [2025-03-11 06:57:20,205 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 99/122 [2025-03-11 06:57:20,238 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 100/122 [2025-03-11 06:57:20,269 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 101/122 [2025-03-11 06:57:20,301 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 102/122 [2025-03-11 06:57:20,332 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 103/122 [2025-03-11 06:57:20,362 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 104/122 [2025-03-11 06:57:20,396 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 105/122 [2025-03-11 06:57:20,437 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 106/122 [2025-03-11 06:57:20,472 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 107/122 [2025-03-11 06:57:20,500 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 108/122 [2025-03-11 06:57:20,533 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 109/122 [2025-03-11 06:57:20,561 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 110/122 [2025-03-11 06:57:20,600 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 111/122 [2025-03-11 06:57:20,626 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 112/122 [2025-03-11 06:57:20,659 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 113/122 [2025-03-11 06:57:20,699 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 114/122 [2025-03-11 06:57:20,746 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 115/122 [2025-03-11 06:57:20,779 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 116/122 [2025-03-11 06:57:20,802 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 117/122 [2025-03-11 06:57:20,826 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 118/122 [2025-03-11 06:57:20,850 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 119/122 [2025-03-11 06:57:20,887 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 120/122 [2025-03-11 06:57:20,922 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 121/122 [2025-03-11 06:57:21,016 INFO test.py line 291 2389709] Test: scene0342_00 [16/78]-89958 Batch 3.805 (4.199) Accuracy 0.9896 (0.2801) mIoU 0.7307 (0.2395) [2025-03-11 06:57:21,105 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 0/152 [2025-03-11 06:57:21,142 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 1/152 [2025-03-11 06:57:21,179 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 2/152 [2025-03-11 06:57:21,215 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 3/152 [2025-03-11 06:57:21,252 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 4/152 [2025-03-11 06:57:21,288 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 5/152 [2025-03-11 06:57:21,325 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 6/152 [2025-03-11 06:57:21,361 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 7/152 [2025-03-11 06:57:21,397 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 8/152 [2025-03-11 06:57:21,433 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 9/152 [2025-03-11 06:57:21,474 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 10/152 [2025-03-11 06:57:21,512 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 11/152 [2025-03-11 06:57:21,548 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 12/152 [2025-03-11 06:57:21,584 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 13/152 [2025-03-11 06:57:21,620 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 14/152 [2025-03-11 06:57:21,656 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 15/152 [2025-03-11 06:57:21,692 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 16/152 [2025-03-11 06:57:21,730 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 17/152 [2025-03-11 06:57:21,767 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 18/152 [2025-03-11 06:57:21,804 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 19/152 [2025-03-11 06:57:21,840 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 20/152 [2025-03-11 06:57:21,877 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 21/152 [2025-03-11 06:57:21,913 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 22/152 [2025-03-11 06:57:21,949 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 23/152 [2025-03-11 06:57:21,986 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 24/152 [2025-03-11 06:57:22,023 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 25/152 [2025-03-11 06:57:22,061 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 26/152 [2025-03-11 06:57:22,098 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 27/152 [2025-03-11 06:57:22,134 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 28/152 [2025-03-11 06:57:22,170 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 29/152 [2025-03-11 06:57:22,206 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 30/152 [2025-03-11 06:57:22,243 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 31/152 [2025-03-11 06:57:22,281 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 32/152 [2025-03-11 06:57:22,319 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 33/152 [2025-03-11 06:57:22,387 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 34/152 [2025-03-11 06:57:22,434 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 35/152 [2025-03-11 06:57:22,478 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 36/152 [2025-03-11 06:57:22,517 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 37/152 [2025-03-11 06:57:22,554 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 38/152 [2025-03-11 06:57:22,590 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 39/152 [2025-03-11 06:57:22,626 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 40/152 [2025-03-11 06:57:22,663 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 41/152 [2025-03-11 06:57:22,700 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 42/152 [2025-03-11 06:57:22,736 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 43/152 [2025-03-11 06:57:22,773 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 44/152 [2025-03-11 06:57:22,810 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 45/152 [2025-03-11 06:57:22,847 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 46/152 [2025-03-11 06:57:22,883 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 47/152 [2025-03-11 06:57:22,919 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 48/152 [2025-03-11 06:57:22,955 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 49/152 [2025-03-11 06:57:22,991 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 50/152 [2025-03-11 06:57:23,026 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 51/152 [2025-03-11 06:57:23,063 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 52/152 [2025-03-11 06:57:23,098 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 53/152 [2025-03-11 06:57:23,133 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 54/152 [2025-03-11 06:57:23,168 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 55/152 [2025-03-11 06:57:23,204 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 56/152 [2025-03-11 06:57:23,239 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 57/152 [2025-03-11 06:57:23,274 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 58/152 [2025-03-11 06:57:23,310 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 59/152 [2025-03-11 06:57:23,346 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 60/152 [2025-03-11 06:57:23,381 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 61/152 [2025-03-11 06:57:23,416 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 62/152 [2025-03-11 06:57:23,480 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 63/152 [2025-03-11 06:57:23,517 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 64/152 [2025-03-11 06:57:23,561 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 65/152 [2025-03-11 06:57:23,597 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 66/152 [2025-03-11 06:57:23,636 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 67/152 [2025-03-11 06:57:23,670 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 68/152 [2025-03-11 06:57:23,707 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 69/152 [2025-03-11 06:57:23,742 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 70/152 [2025-03-11 06:57:23,777 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 71/152 [2025-03-11 06:57:23,812 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 72/152 [2025-03-11 06:57:23,846 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 73/152 [2025-03-11 06:57:23,881 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 74/152 [2025-03-11 06:57:23,923 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 75/152 [2025-03-11 06:57:23,958 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 76/152 [2025-03-11 06:57:23,992 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 77/152 [2025-03-11 06:57:24,027 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 78/152 [2025-03-11 06:57:24,061 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 79/152 [2025-03-11 06:57:24,096 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 80/152 [2025-03-11 06:57:24,138 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 81/152 [2025-03-11 06:57:24,172 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 82/152 [2025-03-11 06:57:24,206 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 83/152 [2025-03-11 06:57:24,239 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 84/152 [2025-03-11 06:57:24,273 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 85/152 [2025-03-11 06:57:24,307 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 86/152 [2025-03-11 06:57:24,342 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 87/152 [2025-03-11 06:57:24,377 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 88/152 [2025-03-11 06:57:24,411 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 89/152 [2025-03-11 06:57:24,446 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 90/152 [2025-03-11 06:57:24,481 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 91/152 [2025-03-11 06:57:24,515 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 92/152 [2025-03-11 06:57:24,550 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 93/152 [2025-03-11 06:57:24,585 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 94/152 [2025-03-11 06:57:24,621 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 95/152 [2025-03-11 06:57:24,658 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 96/152 [2025-03-11 06:57:24,696 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 97/152 [2025-03-11 06:57:24,734 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 98/152 [2025-03-11 06:57:24,772 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 99/152 [2025-03-11 06:57:24,810 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 100/152 [2025-03-11 06:57:24,849 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 101/152 [2025-03-11 06:57:24,886 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 102/152 [2025-03-11 06:57:24,924 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 103/152 [2025-03-11 06:57:24,961 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 104/152 [2025-03-11 06:57:24,998 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 105/152 [2025-03-11 06:57:25,035 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 106/152 [2025-03-11 06:57:25,074 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 107/152 [2025-03-11 06:57:25,112 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 108/152 [2025-03-11 06:57:25,149 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 109/152 [2025-03-11 06:57:25,188 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 110/152 [2025-03-11 06:57:25,226 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 111/152 [2025-03-11 06:57:25,277 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 112/152 [2025-03-11 06:57:25,314 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 113/152 [2025-03-11 06:57:25,352 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 114/152 [2025-03-11 06:57:25,389 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 115/152 [2025-03-11 06:57:25,426 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 116/152 [2025-03-11 06:57:25,463 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 117/152 [2025-03-11 06:57:25,501 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 118/152 [2025-03-11 06:57:25,538 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 119/152 [2025-03-11 06:57:25,576 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 120/152 [2025-03-11 06:57:25,614 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 121/152 [2025-03-11 06:57:25,651 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 122/152 [2025-03-11 06:57:25,688 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 123/152 [2025-03-11 06:57:25,725 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 124/152 [2025-03-11 06:57:25,762 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 125/152 [2025-03-11 06:57:25,800 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 126/152 [2025-03-11 06:57:25,837 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 127/152 [2025-03-11 06:57:25,874 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 128/152 [2025-03-11 06:57:25,911 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 129/152 [2025-03-11 06:57:25,948 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 130/152 [2025-03-11 06:57:25,985 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 131/152 [2025-03-11 06:57:26,022 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 132/152 [2025-03-11 06:57:26,059 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 133/152 [2025-03-11 06:57:26,098 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 134/152 [2025-03-11 06:57:26,141 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 135/152 [2025-03-11 06:57:26,183 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 136/152 [2025-03-11 06:57:26,224 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 137/152 [2025-03-11 06:57:26,264 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 138/152 [2025-03-11 06:57:26,304 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 139/152 [2025-03-11 06:57:26,351 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 140/152 [2025-03-11 06:57:26,392 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 141/152 [2025-03-11 06:57:26,433 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 142/152 [2025-03-11 06:57:26,473 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 143/152 [2025-03-11 06:57:26,513 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 144/152 [2025-03-11 06:57:26,556 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 145/152 [2025-03-11 06:57:26,596 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 146/152 [2025-03-11 06:57:26,640 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 147/152 [2025-03-11 06:57:26,687 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 148/152 [2025-03-11 06:57:26,729 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 149/152 [2025-03-11 06:57:26,770 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 150/152 [2025-03-11 06:57:26,807 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 151/152 [2025-03-11 06:57:27,068 INFO test.py line 291 2389709] Test: scene0618_00 [17/78]-232740 Batch 6.051 (4.308) Accuracy 0.8621 (0.2770) mIoU 0.2211 (0.2372) [2025-03-11 06:57:27,141 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 0/139 [2025-03-11 06:57:27,171 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 1/139 [2025-03-11 06:57:27,202 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 2/139 [2025-03-11 06:57:27,233 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 3/139 [2025-03-11 06:57:27,264 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 4/139 [2025-03-11 06:57:27,294 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 5/139 [2025-03-11 06:57:27,325 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 6/139 [2025-03-11 06:57:27,356 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 7/139 [2025-03-11 06:57:27,387 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 8/139 [2025-03-11 06:57:27,425 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 9/139 [2025-03-11 06:57:27,457 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 10/139 [2025-03-11 06:57:27,488 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 11/139 [2025-03-11 06:57:27,518 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 12/139 [2025-03-11 06:57:27,549 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 13/139 [2025-03-11 06:57:27,579 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 14/139 [2025-03-11 06:57:27,610 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 15/139 [2025-03-11 06:57:27,650 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 16/139 [2025-03-11 06:57:27,681 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 17/139 [2025-03-11 06:57:27,711 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 18/139 [2025-03-11 06:57:27,741 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 19/139 [2025-03-11 06:57:27,784 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 20/139 [2025-03-11 06:57:27,819 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 21/139 [2025-03-11 06:57:27,850 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 22/139 [2025-03-11 06:57:27,881 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 23/139 [2025-03-11 06:57:27,911 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 24/139 [2025-03-11 06:57:27,953 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 25/139 [2025-03-11 06:57:27,984 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 26/139 [2025-03-11 06:57:28,016 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 27/139 [2025-03-11 06:57:28,047 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 28/139 [2025-03-11 06:57:28,083 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 29/139 [2025-03-11 06:57:28,117 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 30/139 [2025-03-11 06:57:28,147 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 31/139 [2025-03-11 06:57:28,177 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 32/139 [2025-03-11 06:57:28,224 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 33/139 [2025-03-11 06:57:28,267 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 34/139 [2025-03-11 06:57:28,308 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 35/139 [2025-03-11 06:57:28,337 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 36/139 [2025-03-11 06:57:28,368 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 37/139 [2025-03-11 06:57:28,397 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 38/139 [2025-03-11 06:57:28,427 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 39/139 [2025-03-11 06:57:28,470 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 40/139 [2025-03-11 06:57:28,513 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 41/139 [2025-03-11 06:57:28,552 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 42/139 [2025-03-11 06:57:28,581 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 43/139 [2025-03-11 06:57:28,610 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 44/139 [2025-03-11 06:57:28,642 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 45/139 [2025-03-11 06:57:28,671 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 46/139 [2025-03-11 06:57:28,700 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 47/139 [2025-03-11 06:57:28,743 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 48/139 [2025-03-11 06:57:28,802 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 49/139 [2025-03-11 06:57:28,847 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 50/139 [2025-03-11 06:57:28,885 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 51/139 [2025-03-11 06:57:28,927 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 52/139 [2025-03-11 06:57:28,980 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 53/139 [2025-03-11 06:57:29,048 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 54/139 [2025-03-11 06:57:29,102 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 55/139 [2025-03-11 06:57:29,158 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 56/139 [2025-03-11 06:57:29,211 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 57/139 [2025-03-11 06:57:29,249 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 58/139 [2025-03-11 06:57:29,290 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 59/139 [2025-03-11 06:57:29,345 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 60/139 [2025-03-11 06:57:29,401 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 61/139 [2025-03-11 06:57:29,459 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 62/139 [2025-03-11 06:57:29,491 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 63/139 [2025-03-11 06:57:29,524 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 64/139 [2025-03-11 06:57:29,559 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 65/139 [2025-03-11 06:57:29,592 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 66/139 [2025-03-11 06:57:29,625 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 67/139 [2025-03-11 06:57:29,657 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 68/139 [2025-03-11 06:57:29,689 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 69/139 [2025-03-11 06:57:29,721 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 70/139 [2025-03-11 06:57:29,750 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 71/139 [2025-03-11 06:57:29,780 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 72/139 [2025-03-11 06:57:29,834 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 73/139 [2025-03-11 06:57:29,869 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 74/139 [2025-03-11 06:57:29,899 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 75/139 [2025-03-11 06:57:29,928 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 76/139 [2025-03-11 06:57:29,959 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 77/139 [2025-03-11 06:57:29,989 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 78/139 [2025-03-11 06:57:30,021 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 79/139 [2025-03-11 06:57:30,054 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 80/139 [2025-03-11 06:57:30,108 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 81/139 [2025-03-11 06:57:30,153 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 82/139 [2025-03-11 06:57:30,184 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 83/139 [2025-03-11 06:57:30,241 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 84/139 [2025-03-11 06:57:30,273 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 85/139 [2025-03-11 06:57:30,304 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 86/139 [2025-03-11 06:57:30,335 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 87/139 [2025-03-11 06:57:30,366 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 88/139 [2025-03-11 06:57:30,397 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 89/139 [2025-03-11 06:57:30,428 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 90/139 [2025-03-11 06:57:30,459 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 91/139 [2025-03-11 06:57:30,495 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 92/139 [2025-03-11 06:57:30,552 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 93/139 [2025-03-11 06:57:30,587 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 94/139 [2025-03-11 06:57:30,625 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 95/139 [2025-03-11 06:57:30,659 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 96/139 [2025-03-11 06:57:30,713 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 97/139 [2025-03-11 06:57:30,746 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 98/139 [2025-03-11 06:57:30,809 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 99/139 [2025-03-11 06:57:30,842 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 100/139 [2025-03-11 06:57:30,875 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 101/139 [2025-03-11 06:57:30,909 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 102/139 [2025-03-11 06:57:30,943 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 103/139 [2025-03-11 06:57:30,977 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 104/139 [2025-03-11 06:57:31,021 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 105/139 [2025-03-11 06:57:31,056 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 106/139 [2025-03-11 06:57:31,108 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 107/139 [2025-03-11 06:57:31,175 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 108/139 [2025-03-11 06:57:31,212 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 109/139 [2025-03-11 06:57:31,273 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 110/139 [2025-03-11 06:57:31,306 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 111/139 [2025-03-11 06:57:31,339 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 112/139 [2025-03-11 06:57:31,371 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 113/139 [2025-03-11 06:57:31,405 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 114/139 [2025-03-11 06:57:31,468 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 115/139 [2025-03-11 06:57:31,500 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 116/139 [2025-03-11 06:57:31,532 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 117/139 [2025-03-11 06:57:31,564 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 118/139 [2025-03-11 06:57:31,596 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 119/139 [2025-03-11 06:57:31,628 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 120/139 [2025-03-11 06:57:31,661 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 121/139 [2025-03-11 06:57:31,719 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 122/139 [2025-03-11 06:57:31,758 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 123/139 [2025-03-11 06:57:31,791 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 124/139 [2025-03-11 06:57:31,829 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 125/139 [2025-03-11 06:57:31,860 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 126/139 [2025-03-11 06:57:31,892 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 127/139 [2025-03-11 06:57:31,924 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 128/139 [2025-03-11 06:57:31,955 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 129/139 [2025-03-11 06:57:31,997 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 130/139 [2025-03-11 06:57:32,029 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 131/139 [2025-03-11 06:57:32,060 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 132/139 [2025-03-11 06:57:32,093 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 133/139 [2025-03-11 06:57:32,124 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 134/139 [2025-03-11 06:57:32,158 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 135/139 [2025-03-11 06:57:32,192 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 136/139 [2025-03-11 06:57:32,239 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 137/139 [2025-03-11 06:57:32,270 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 138/139 [2025-03-11 06:57:32,448 INFO test.py line 291 2389709] Test: scene0695_02 [18/78]-157025 Batch 5.380 (4.368) Accuracy 0.7706 (0.2736) mIoU 0.2605 (0.2335) [2025-03-11 06:57:32,569 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 0/156 [2025-03-11 06:57:32,613 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 1/156 [2025-03-11 06:57:32,658 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 2/156 [2025-03-11 06:57:32,720 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 3/156 [2025-03-11 06:57:32,765 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 4/156 [2025-03-11 06:57:32,809 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 5/156 [2025-03-11 06:57:32,858 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 6/156 [2025-03-11 06:57:32,907 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 7/156 [2025-03-11 06:57:32,947 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 8/156 [2025-03-11 06:57:32,987 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 9/156 [2025-03-11 06:57:33,027 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 10/156 [2025-03-11 06:57:33,066 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 11/156 [2025-03-11 06:57:33,107 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 12/156 [2025-03-11 06:57:33,147 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 13/156 [2025-03-11 06:57:33,186 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 14/156 [2025-03-11 06:57:33,227 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 15/156 [2025-03-11 06:57:33,273 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 16/156 [2025-03-11 06:57:33,314 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 17/156 [2025-03-11 06:57:33,363 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 18/156 [2025-03-11 06:57:33,403 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 19/156 [2025-03-11 06:57:33,445 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 20/156 [2025-03-11 06:57:33,489 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 21/156 [2025-03-11 06:57:33,530 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 22/156 [2025-03-11 06:57:33,569 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 23/156 [2025-03-11 06:57:33,609 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 24/156 [2025-03-11 06:57:33,648 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 25/156 [2025-03-11 06:57:33,688 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 26/156 [2025-03-11 06:57:33,728 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 27/156 [2025-03-11 06:57:33,793 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 28/156 [2025-03-11 06:57:33,834 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 29/156 [2025-03-11 06:57:33,873 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 30/156 [2025-03-11 06:57:33,914 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 31/156 [2025-03-11 06:57:33,959 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 32/156 [2025-03-11 06:57:33,999 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 33/156 [2025-03-11 06:57:34,039 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 34/156 [2025-03-11 06:57:34,079 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 35/156 [2025-03-11 06:57:34,120 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 36/156 [2025-03-11 06:57:34,165 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 37/156 [2025-03-11 06:57:34,206 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 38/156 [2025-03-11 06:57:34,247 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 39/156 [2025-03-11 06:57:34,289 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 40/156 [2025-03-11 06:57:34,329 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 41/156 [2025-03-11 06:57:34,368 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 42/156 [2025-03-11 06:57:34,408 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 43/156 [2025-03-11 06:57:34,449 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 44/156 [2025-03-11 06:57:34,489 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 45/156 [2025-03-11 06:57:34,529 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 46/156 [2025-03-11 06:57:34,568 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 47/156 [2025-03-11 06:57:34,606 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 48/156 [2025-03-11 06:57:34,645 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 49/156 [2025-03-11 06:57:34,689 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 50/156 [2025-03-11 06:57:34,727 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 51/156 [2025-03-11 06:57:34,764 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 52/156 [2025-03-11 06:57:34,802 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 53/156 [2025-03-11 06:57:34,841 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 54/156 [2025-03-11 06:57:34,879 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 55/156 [2025-03-11 06:57:34,917 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 56/156 [2025-03-11 06:57:34,957 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 57/156 [2025-03-11 06:57:34,994 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 58/156 [2025-03-11 06:57:35,031 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 59/156 [2025-03-11 06:57:35,068 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 60/156 [2025-03-11 06:57:35,105 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 61/156 [2025-03-11 06:57:35,142 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 62/156 [2025-03-11 06:57:35,179 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 63/156 [2025-03-11 06:57:35,217 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 64/156 [2025-03-11 06:57:35,255 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 65/156 [2025-03-11 06:57:35,292 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 66/156 [2025-03-11 06:57:35,331 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 67/156 [2025-03-11 06:57:35,369 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 68/156 [2025-03-11 06:57:35,409 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 69/156 [2025-03-11 06:57:35,451 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 70/156 [2025-03-11 06:57:35,488 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 71/156 [2025-03-11 06:57:35,525 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 72/156 [2025-03-11 06:57:35,562 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 73/156 [2025-03-11 06:57:35,600 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 74/156 [2025-03-11 06:57:35,639 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 75/156 [2025-03-11 06:57:35,679 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 76/156 [2025-03-11 06:57:35,734 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 77/156 [2025-03-11 06:57:35,785 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 78/156 [2025-03-11 06:57:35,836 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 79/156 [2025-03-11 06:57:35,893 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 80/156 [2025-03-11 06:57:35,949 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 81/156 [2025-03-11 06:57:35,999 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 82/156 [2025-03-11 06:57:36,042 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 83/156 [2025-03-11 06:57:36,087 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 84/156 [2025-03-11 06:57:36,148 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 85/156 [2025-03-11 06:57:36,195 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 86/156 [2025-03-11 06:57:36,236 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 87/156 [2025-03-11 06:57:36,282 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 88/156 [2025-03-11 06:57:36,324 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 89/156 [2025-03-11 06:57:36,365 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 90/156 [2025-03-11 06:57:36,402 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 91/156 [2025-03-11 06:57:36,440 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 92/156 [2025-03-11 06:57:36,485 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 93/156 [2025-03-11 06:57:36,532 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 94/156 [2025-03-11 06:57:36,604 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 95/156 [2025-03-11 06:57:36,646 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 96/156 [2025-03-11 06:57:36,683 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 97/156 [2025-03-11 06:57:36,729 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 98/156 [2025-03-11 06:57:36,768 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 99/156 [2025-03-11 06:57:36,808 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 100/156 [2025-03-11 06:57:36,849 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 101/156 [2025-03-11 06:57:36,890 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 102/156 [2025-03-11 06:57:36,940 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 103/156 [2025-03-11 06:57:36,981 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 104/156 [2025-03-11 06:57:37,025 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 105/156 [2025-03-11 06:57:37,065 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 106/156 [2025-03-11 06:57:37,107 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 107/156 [2025-03-11 06:57:37,148 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 108/156 [2025-03-11 06:57:37,189 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 109/156 [2025-03-11 06:57:37,230 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 110/156 [2025-03-11 06:57:37,272 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 111/156 [2025-03-11 06:57:37,312 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 112/156 [2025-03-11 06:57:37,352 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 113/156 [2025-03-11 06:57:37,392 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 114/156 [2025-03-11 06:57:37,432 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 115/156 [2025-03-11 06:57:37,473 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 116/156 [2025-03-11 06:57:37,520 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 117/156 [2025-03-11 06:57:37,561 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 118/156 [2025-03-11 06:57:37,613 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 119/156 [2025-03-11 06:57:37,658 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 120/156 [2025-03-11 06:57:37,699 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 121/156 [2025-03-11 06:57:37,747 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 122/156 [2025-03-11 06:57:37,792 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 123/156 [2025-03-11 06:57:37,832 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 124/156 [2025-03-11 06:57:37,881 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 125/156 [2025-03-11 06:57:37,920 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 126/156 [2025-03-11 06:57:37,963 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 127/156 [2025-03-11 06:57:38,005 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 128/156 [2025-03-11 06:57:38,046 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 129/156 [2025-03-11 06:57:38,086 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 130/156 [2025-03-11 06:57:38,127 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 131/156 [2025-03-11 06:57:38,167 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 132/156 [2025-03-11 06:57:38,208 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 133/156 [2025-03-11 06:57:38,249 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 134/156 [2025-03-11 06:57:38,290 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 135/156 [2025-03-11 06:57:38,331 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 136/156 [2025-03-11 06:57:38,389 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 137/156 [2025-03-11 06:57:38,428 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 138/156 [2025-03-11 06:57:38,468 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 139/156 [2025-03-11 06:57:38,508 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 140/156 [2025-03-11 06:57:38,548 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 141/156 [2025-03-11 06:57:38,587 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 142/156 [2025-03-11 06:57:38,628 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 143/156 [2025-03-11 06:57:38,666 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 144/156 [2025-03-11 06:57:38,704 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 145/156 [2025-03-11 06:57:38,743 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 146/156 [2025-03-11 06:57:38,782 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 147/156 [2025-03-11 06:57:38,821 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 148/156 [2025-03-11 06:57:38,861 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 149/156 [2025-03-11 06:57:38,900 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 150/156 [2025-03-11 06:57:38,939 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 151/156 [2025-03-11 06:57:38,979 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 152/156 [2025-03-11 06:57:39,035 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 153/156 [2025-03-11 06:57:39,074 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 154/156 [2025-03-11 06:57:39,119 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 155/156 [2025-03-11 06:57:39,417 INFO test.py line 291 2389709] Test: scene0629_00 [19/78]-255083 Batch 6.968 (4.505) Accuracy 0.7191 (0.2771) mIoU 0.1549 (0.2316) [2025-03-11 06:57:39,476 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 0/125 [2025-03-11 06:57:39,505 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 1/125 [2025-03-11 06:57:39,531 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 2/125 [2025-03-11 06:57:39,558 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 3/125 [2025-03-11 06:57:39,585 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 4/125 [2025-03-11 06:57:39,612 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 5/125 [2025-03-11 06:57:39,639 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 6/125 [2025-03-11 06:57:39,667 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 7/125 [2025-03-11 06:57:39,695 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 8/125 [2025-03-11 06:57:39,722 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 9/125 [2025-03-11 06:57:39,750 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 10/125 [2025-03-11 06:57:39,777 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 11/125 [2025-03-11 06:57:39,804 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 12/125 [2025-03-11 06:57:39,829 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 13/125 [2025-03-11 06:57:39,854 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 14/125 [2025-03-11 06:57:39,884 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 15/125 [2025-03-11 06:57:39,910 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 16/125 [2025-03-11 06:57:39,936 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 17/125 [2025-03-11 06:57:39,962 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 18/125 [2025-03-11 06:57:39,987 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 19/125 [2025-03-11 06:57:40,014 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 20/125 [2025-03-11 06:57:40,040 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 21/125 [2025-03-11 06:57:40,094 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 22/125 [2025-03-11 06:57:40,121 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 23/125 [2025-03-11 06:57:40,146 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 24/125 [2025-03-11 06:57:40,197 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 25/125 [2025-03-11 06:57:40,223 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 26/125 [2025-03-11 06:57:40,248 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 27/125 [2025-03-11 06:57:40,279 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 28/125 [2025-03-11 06:57:40,323 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 29/125 [2025-03-11 06:57:40,348 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 30/125 [2025-03-11 06:57:40,375 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 31/125 [2025-03-11 06:57:40,401 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 32/125 [2025-03-11 06:57:40,429 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 33/125 [2025-03-11 06:57:40,456 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 34/125 [2025-03-11 06:57:40,491 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 35/125 [2025-03-11 06:57:40,517 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 36/125 [2025-03-11 06:57:40,542 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 37/125 [2025-03-11 06:57:40,567 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 38/125 [2025-03-11 06:57:40,592 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 39/125 [2025-03-11 06:57:40,623 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 40/125 [2025-03-11 06:57:40,648 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 41/125 [2025-03-11 06:57:40,675 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 42/125 [2025-03-11 06:57:40,700 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 43/125 [2025-03-11 06:57:40,725 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 44/125 [2025-03-11 06:57:40,750 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 45/125 [2025-03-11 06:57:40,774 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 46/125 [2025-03-11 06:57:40,801 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 47/125 [2025-03-11 06:57:40,827 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 48/125 [2025-03-11 06:57:40,853 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 49/125 [2025-03-11 06:57:40,878 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 50/125 [2025-03-11 06:57:40,903 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 51/125 [2025-03-11 06:57:40,929 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 52/125 [2025-03-11 06:57:40,958 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 53/125 [2025-03-11 06:57:40,985 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 54/125 [2025-03-11 06:57:41,010 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 55/125 [2025-03-11 06:57:41,035 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 56/125 [2025-03-11 06:57:41,060 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 57/125 [2025-03-11 06:57:41,085 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 58/125 [2025-03-11 06:57:41,110 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 59/125 [2025-03-11 06:57:41,135 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 60/125 [2025-03-11 06:57:41,160 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 61/125 [2025-03-11 06:57:41,186 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 62/125 [2025-03-11 06:57:41,211 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 63/125 [2025-03-11 06:57:41,237 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 64/125 [2025-03-11 06:57:41,262 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 65/125 [2025-03-11 06:57:41,288 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 66/125 [2025-03-11 06:57:41,312 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 67/125 [2025-03-11 06:57:41,341 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 68/125 [2025-03-11 06:57:41,369 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 69/125 [2025-03-11 06:57:41,395 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 70/125 [2025-03-11 06:57:41,420 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 71/125 [2025-03-11 06:57:41,445 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 72/125 [2025-03-11 06:57:41,471 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 73/125 [2025-03-11 06:57:41,498 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 74/125 [2025-03-11 06:57:41,525 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 75/125 [2025-03-11 06:57:41,551 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 76/125 [2025-03-11 06:57:41,578 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 77/125 [2025-03-11 06:57:41,603 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 78/125 [2025-03-11 06:57:41,629 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 79/125 [2025-03-11 06:57:41,657 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 80/125 [2025-03-11 06:57:41,684 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 81/125 [2025-03-11 06:57:41,710 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 82/125 [2025-03-11 06:57:41,736 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 83/125 [2025-03-11 06:57:41,763 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 84/125 [2025-03-11 06:57:41,803 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 85/125 [2025-03-11 06:57:41,845 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 86/125 [2025-03-11 06:57:41,877 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 87/125 [2025-03-11 06:57:41,904 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 88/125 [2025-03-11 06:57:41,930 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 89/125 [2025-03-11 06:57:41,956 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 90/125 [2025-03-11 06:57:41,988 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 91/125 [2025-03-11 06:57:42,014 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 92/125 [2025-03-11 06:57:42,040 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 93/125 [2025-03-11 06:57:42,065 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 94/125 [2025-03-11 06:57:42,090 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 95/125 [2025-03-11 06:57:42,116 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 96/125 [2025-03-11 06:57:42,147 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 97/125 [2025-03-11 06:57:42,174 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 98/125 [2025-03-11 06:57:42,203 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 99/125 [2025-03-11 06:57:42,228 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 100/125 [2025-03-11 06:57:42,255 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 101/125 [2025-03-11 06:57:42,282 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 102/125 [2025-03-11 06:57:42,309 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 103/125 [2025-03-11 06:57:42,336 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 104/125 [2025-03-11 06:57:42,370 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 105/125 [2025-03-11 06:57:42,397 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 106/125 [2025-03-11 06:57:42,424 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 107/125 [2025-03-11 06:57:42,450 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 108/125 [2025-03-11 06:57:42,476 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 109/125 [2025-03-11 06:57:42,501 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 110/125 [2025-03-11 06:57:42,528 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 111/125 [2025-03-11 06:57:42,554 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 112/125 [2025-03-11 06:57:42,595 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 113/125 [2025-03-11 06:57:42,623 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 114/125 [2025-03-11 06:57:42,651 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 115/125 [2025-03-11 06:57:42,678 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 116/125 [2025-03-11 06:57:42,704 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 117/125 [2025-03-11 06:57:42,730 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 118/125 [2025-03-11 06:57:42,756 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 119/125 [2025-03-11 06:57:42,782 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 120/125 [2025-03-11 06:57:42,810 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 121/125 [2025-03-11 06:57:42,837 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 122/125 [2025-03-11 06:57:42,864 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 123/125 [2025-03-11 06:57:42,891 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 124/125 [2025-03-11 06:57:43,032 INFO test.py line 291 2389709] Test: scene0609_01 [20/78]-115550 Batch 3.615 (4.460) Accuracy 0.8388 (0.2772) mIoU 0.4140 (0.2303) [2025-03-11 06:57:43,123 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 0/130 [2025-03-11 06:57:43,157 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 1/130 [2025-03-11 06:57:43,196 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 2/130 [2025-03-11 06:57:43,230 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 3/130 [2025-03-11 06:57:43,269 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 4/130 [2025-03-11 06:57:43,308 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 5/130 [2025-03-11 06:57:43,351 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 6/130 [2025-03-11 06:57:43,419 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 7/130 [2025-03-11 06:57:43,473 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 8/130 [2025-03-11 06:57:43,513 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 9/130 [2025-03-11 06:57:43,550 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 10/130 [2025-03-11 06:57:43,589 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 11/130 [2025-03-11 06:57:43,629 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 12/130 [2025-03-11 06:57:43,673 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 13/130 [2025-03-11 06:57:43,736 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 14/130 [2025-03-11 06:57:43,777 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 15/130 [2025-03-11 06:57:43,812 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 16/130 [2025-03-11 06:57:43,846 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 17/130 [2025-03-11 06:57:43,881 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 18/130 [2025-03-11 06:57:43,916 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 19/130 [2025-03-11 06:57:43,952 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 20/130 [2025-03-11 06:57:43,987 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 21/130 [2025-03-11 06:57:44,026 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 22/130 [2025-03-11 06:57:44,078 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 23/130 [2025-03-11 06:57:44,118 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 24/130 [2025-03-11 06:57:44,159 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 25/130 [2025-03-11 06:57:44,210 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 26/130 [2025-03-11 06:57:44,246 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 27/130 [2025-03-11 06:57:44,281 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 28/130 [2025-03-11 06:57:44,316 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 29/130 [2025-03-11 06:57:44,350 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 30/130 [2025-03-11 06:57:44,400 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 31/130 [2025-03-11 06:57:44,436 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 32/130 [2025-03-11 06:57:44,471 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 33/130 [2025-03-11 06:57:44,506 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 34/130 [2025-03-11 06:57:44,542 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 35/130 [2025-03-11 06:57:44,577 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 36/130 [2025-03-11 06:57:44,612 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 37/130 [2025-03-11 06:57:44,647 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 38/130 [2025-03-11 06:57:44,683 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 39/130 [2025-03-11 06:57:44,716 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 40/130 [2025-03-11 06:57:44,750 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 41/130 [2025-03-11 06:57:44,784 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 42/130 [2025-03-11 06:57:44,818 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 43/130 [2025-03-11 06:57:44,851 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 44/130 [2025-03-11 06:57:44,913 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 45/130 [2025-03-11 06:57:44,951 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 46/130 [2025-03-11 06:57:44,989 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 47/130 [2025-03-11 06:57:45,031 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 48/130 [2025-03-11 06:57:45,070 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 49/130 [2025-03-11 06:57:45,107 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 50/130 [2025-03-11 06:57:45,159 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 51/130 [2025-03-11 06:57:45,199 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 52/130 [2025-03-11 06:57:45,239 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 53/130 [2025-03-11 06:57:45,299 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 54/130 [2025-03-11 06:57:45,333 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 55/130 [2025-03-11 06:57:45,367 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 56/130 [2025-03-11 06:57:45,401 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 57/130 [2025-03-11 06:57:45,435 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 58/130 [2025-03-11 06:57:45,469 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 59/130 [2025-03-11 06:57:45,504 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 60/130 [2025-03-11 06:57:45,543 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 61/130 [2025-03-11 06:57:45,577 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 62/130 [2025-03-11 06:57:45,610 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 63/130 [2025-03-11 06:57:45,643 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 64/130 [2025-03-11 06:57:45,676 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 65/130 [2025-03-11 06:57:45,711 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 66/130 [2025-03-11 06:57:45,745 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 67/130 [2025-03-11 06:57:45,780 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 68/130 [2025-03-11 06:57:45,814 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 69/130 [2025-03-11 06:57:45,855 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 70/130 [2025-03-11 06:57:45,889 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 71/130 [2025-03-11 06:57:45,923 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 72/130 [2025-03-11 06:57:45,958 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 73/130 [2025-03-11 06:57:45,994 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 74/130 [2025-03-11 06:57:46,027 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 75/130 [2025-03-11 06:57:46,060 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 76/130 [2025-03-11 06:57:46,093 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 77/130 [2025-03-11 06:57:46,127 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 78/130 [2025-03-11 06:57:46,172 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 79/130 [2025-03-11 06:57:46,210 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 80/130 [2025-03-11 06:57:46,244 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 81/130 [2025-03-11 06:57:46,279 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 82/130 [2025-03-11 06:57:46,314 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 83/130 [2025-03-11 06:57:46,351 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 84/130 [2025-03-11 06:57:46,403 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 85/130 [2025-03-11 06:57:46,440 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 86/130 [2025-03-11 06:57:46,488 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 87/130 [2025-03-11 06:57:46,524 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 88/130 [2025-03-11 06:57:46,561 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 89/130 [2025-03-11 06:57:46,596 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 90/130 [2025-03-11 06:57:46,632 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 91/130 [2025-03-11 06:57:46,670 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 92/130 [2025-03-11 06:57:46,716 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 93/130 [2025-03-11 06:57:46,752 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 94/130 [2025-03-11 06:57:46,788 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 95/130 [2025-03-11 06:57:46,825 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 96/130 [2025-03-11 06:57:46,860 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 97/130 [2025-03-11 06:57:46,915 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 98/130 [2025-03-11 06:57:46,952 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 99/130 [2025-03-11 06:57:46,993 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 100/130 [2025-03-11 06:57:47,029 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 101/130 [2025-03-11 06:57:47,066 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 102/130 [2025-03-11 06:57:47,109 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 103/130 [2025-03-11 06:57:47,148 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 104/130 [2025-03-11 06:57:47,184 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 105/130 [2025-03-11 06:57:47,219 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 106/130 [2025-03-11 06:57:47,254 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 107/130 [2025-03-11 06:57:47,289 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 108/130 [2025-03-11 06:57:47,332 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 109/130 [2025-03-11 06:57:47,377 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 110/130 [2025-03-11 06:57:47,412 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 111/130 [2025-03-11 06:57:47,448 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 112/130 [2025-03-11 06:57:47,483 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 113/130 [2025-03-11 06:57:47,519 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 114/130 [2025-03-11 06:57:47,554 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 115/130 [2025-03-11 06:57:47,590 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 116/130 [2025-03-11 06:57:47,626 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 117/130 [2025-03-11 06:57:47,660 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 118/130 [2025-03-11 06:57:47,696 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 119/130 [2025-03-11 06:57:47,730 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 120/130 [2025-03-11 06:57:47,766 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 121/130 [2025-03-11 06:57:47,802 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 122/130 [2025-03-11 06:57:47,839 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 123/130 [2025-03-11 06:57:47,875 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 124/130 [2025-03-11 06:57:47,912 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 125/130 [2025-03-11 06:57:47,950 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 126/130 [2025-03-11 06:57:47,986 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 127/130 [2025-03-11 06:57:48,029 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 128/130 [2025-03-11 06:57:48,065 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 129/130 [2025-03-11 06:57:48,302 INFO test.py line 291 2389709] Test: scene0430_00 [21/78]-210249 Batch 5.269 (4.499) Accuracy 0.9340 (0.2775) mIoU 0.5427 (0.2306) [2025-03-11 06:57:48,420 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 0/125 [2025-03-11 06:57:48,462 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 1/125 [2025-03-11 06:57:48,504 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 2/125 [2025-03-11 06:57:48,544 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 3/125 [2025-03-11 06:57:48,586 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 4/125 [2025-03-11 06:57:48,627 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 5/125 [2025-03-11 06:57:48,669 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 6/125 [2025-03-11 06:57:48,711 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 7/125 [2025-03-11 06:57:48,752 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 8/125 [2025-03-11 06:57:48,793 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 9/125 [2025-03-11 06:57:48,833 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 10/125 [2025-03-11 06:57:48,874 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 11/125 [2025-03-11 06:57:48,916 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 12/125 [2025-03-11 06:57:48,957 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 13/125 [2025-03-11 06:57:49,023 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 14/125 [2025-03-11 06:57:49,064 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 15/125 [2025-03-11 06:57:49,131 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 16/125 [2025-03-11 06:57:49,171 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 17/125 [2025-03-11 06:57:49,216 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 18/125 [2025-03-11 06:57:49,258 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 19/125 [2025-03-11 06:57:49,309 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 20/125 [2025-03-11 06:57:49,347 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 21/125 [2025-03-11 06:57:49,388 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 22/125 [2025-03-11 06:57:49,428 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 23/125 [2025-03-11 06:57:49,469 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 24/125 [2025-03-11 06:57:49,510 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 25/125 [2025-03-11 06:57:49,562 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 26/125 [2025-03-11 06:57:49,602 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 27/125 [2025-03-11 06:57:49,643 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 28/125 [2025-03-11 06:57:49,683 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 29/125 [2025-03-11 06:57:49,734 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 30/125 [2025-03-11 06:57:49,774 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 31/125 [2025-03-11 06:57:49,815 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 32/125 [2025-03-11 06:57:49,867 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 33/125 [2025-03-11 06:57:49,907 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 34/125 [2025-03-11 06:57:49,947 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 35/125 [2025-03-11 06:57:49,983 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 36/125 [2025-03-11 06:57:50,020 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 37/125 [2025-03-11 06:57:50,056 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 38/125 [2025-03-11 06:57:50,093 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 39/125 [2025-03-11 06:57:50,130 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 40/125 [2025-03-11 06:57:50,177 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 41/125 [2025-03-11 06:57:50,223 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 42/125 [2025-03-11 06:57:50,273 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 43/125 [2025-03-11 06:57:50,314 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 44/125 [2025-03-11 06:57:50,360 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 45/125 [2025-03-11 06:57:50,403 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 46/125 [2025-03-11 06:57:50,445 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 47/125 [2025-03-11 06:57:50,485 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 48/125 [2025-03-11 06:57:50,525 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 49/125 [2025-03-11 06:57:50,572 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 50/125 [2025-03-11 06:57:50,615 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 51/125 [2025-03-11 06:57:50,656 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 52/125 [2025-03-11 06:57:50,699 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 53/125 [2025-03-11 06:57:50,736 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 54/125 [2025-03-11 06:57:50,775 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 55/125 [2025-03-11 06:57:50,813 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 56/125 [2025-03-11 06:57:50,850 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 57/125 [2025-03-11 06:57:50,920 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 58/125 [2025-03-11 06:57:50,984 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 59/125 [2025-03-11 06:57:51,028 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 60/125 [2025-03-11 06:57:51,069 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 61/125 [2025-03-11 06:57:51,107 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 62/125 [2025-03-11 06:57:51,144 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 63/125 [2025-03-11 06:57:51,182 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 64/125 [2025-03-11 06:57:51,218 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 65/125 [2025-03-11 06:57:51,255 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 66/125 [2025-03-11 06:57:51,293 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 67/125 [2025-03-11 06:57:51,330 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 68/125 [2025-03-11 06:57:51,390 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 69/125 [2025-03-11 06:57:51,427 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 70/125 [2025-03-11 06:57:51,463 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 71/125 [2025-03-11 06:57:51,499 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 72/125 [2025-03-11 06:57:51,539 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 73/125 [2025-03-11 06:57:51,578 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 74/125 [2025-03-11 06:57:51,614 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 75/125 [2025-03-11 06:57:51,651 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 76/125 [2025-03-11 06:57:51,688 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 77/125 [2025-03-11 06:57:51,726 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 78/125 [2025-03-11 06:57:51,764 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 79/125 [2025-03-11 06:57:51,803 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 80/125 [2025-03-11 06:57:51,843 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 81/125 [2025-03-11 06:57:51,902 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 82/125 [2025-03-11 06:57:51,942 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 83/125 [2025-03-11 06:57:51,982 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 84/125 [2025-03-11 06:57:52,037 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 85/125 [2025-03-11 06:57:52,076 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 86/125 [2025-03-11 06:57:52,122 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 87/125 [2025-03-11 06:57:52,162 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 88/125 [2025-03-11 06:57:52,203 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 89/125 [2025-03-11 06:57:52,243 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 90/125 [2025-03-11 06:57:52,286 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 91/125 [2025-03-11 06:57:52,326 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 92/125 [2025-03-11 06:57:52,368 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 93/125 [2025-03-11 06:57:52,409 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 94/125 [2025-03-11 06:57:52,450 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 95/125 [2025-03-11 06:57:52,490 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 96/125 [2025-03-11 06:57:52,532 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 97/125 [2025-03-11 06:57:52,573 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 98/125 [2025-03-11 06:57:52,613 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 99/125 [2025-03-11 06:57:52,652 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 100/125 [2025-03-11 06:57:52,693 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 101/125 [2025-03-11 06:57:52,733 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 102/125 [2025-03-11 06:57:52,794 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 103/125 [2025-03-11 06:57:52,839 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 104/125 [2025-03-11 06:57:52,879 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 105/125 [2025-03-11 06:57:52,919 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 106/125 [2025-03-11 06:57:52,958 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 107/125 [2025-03-11 06:57:52,998 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 108/125 [2025-03-11 06:57:53,040 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 109/125 [2025-03-11 06:57:53,097 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 110/125 [2025-03-11 06:57:53,137 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 111/125 [2025-03-11 06:57:53,175 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 112/125 [2025-03-11 06:57:53,215 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 113/125 [2025-03-11 06:57:53,254 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 114/125 [2025-03-11 06:57:53,294 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 115/125 [2025-03-11 06:57:53,333 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 116/125 [2025-03-11 06:57:53,371 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 117/125 [2025-03-11 06:57:53,410 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 118/125 [2025-03-11 06:57:53,449 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 119/125 [2025-03-11 06:57:53,488 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 120/125 [2025-03-11 06:57:53,526 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 121/125 [2025-03-11 06:57:53,593 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 122/125 [2025-03-11 06:57:53,642 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 123/125 [2025-03-11 06:57:53,681 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 124/125 [2025-03-11 06:57:53,947 INFO test.py line 291 2389709] Test: scene0608_02 [22/78]-235030 Batch 5.645 (4.551) Accuracy 0.7401 (0.2877) mIoU 0.2161 (0.2407) [2025-03-11 06:57:54,000 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 0/125 [2025-03-11 06:57:54,031 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 1/125 [2025-03-11 06:57:54,060 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 2/125 [2025-03-11 06:57:54,102 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 3/125 [2025-03-11 06:57:54,127 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 4/125 [2025-03-11 06:57:54,159 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 5/125 [2025-03-11 06:57:54,184 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 6/125 [2025-03-11 06:57:54,210 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 7/125 [2025-03-11 06:57:54,247 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 8/125 [2025-03-11 06:57:54,274 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 9/125 [2025-03-11 06:57:54,301 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 10/125 [2025-03-11 06:57:54,326 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 11/125 [2025-03-11 06:57:54,353 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 12/125 [2025-03-11 06:57:54,385 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 13/125 [2025-03-11 06:57:54,412 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 14/125 [2025-03-11 06:57:54,447 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 15/125 [2025-03-11 06:57:54,473 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 16/125 [2025-03-11 06:57:54,503 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 17/125 [2025-03-11 06:57:54,535 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 18/125 [2025-03-11 06:57:54,566 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 19/125 [2025-03-11 06:57:54,607 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 20/125 [2025-03-11 06:57:54,633 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 21/125 [2025-03-11 06:57:54,659 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 22/125 [2025-03-11 06:57:54,685 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 23/125 [2025-03-11 06:57:54,710 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 24/125 [2025-03-11 06:57:54,741 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 25/125 [2025-03-11 06:57:54,772 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 26/125 [2025-03-11 06:57:54,802 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 27/125 [2025-03-11 06:57:54,830 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 28/125 [2025-03-11 06:57:54,856 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 29/125 [2025-03-11 06:57:54,881 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 30/125 [2025-03-11 06:57:54,907 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 31/125 [2025-03-11 06:57:54,931 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 32/125 [2025-03-11 06:57:54,957 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 33/125 [2025-03-11 06:57:54,984 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 34/125 [2025-03-11 06:57:55,010 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 35/125 [2025-03-11 06:57:55,037 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 36/125 [2025-03-11 06:57:55,063 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 37/125 [2025-03-11 06:57:55,092 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 38/125 [2025-03-11 06:57:55,117 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 39/125 [2025-03-11 06:57:55,145 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 40/125 [2025-03-11 06:57:55,170 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 41/125 [2025-03-11 06:57:55,200 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 42/125 [2025-03-11 06:57:55,232 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 43/125 [2025-03-11 06:57:55,265 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 44/125 [2025-03-11 06:57:55,299 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 45/125 [2025-03-11 06:57:55,330 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 46/125 [2025-03-11 06:57:55,360 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 47/125 [2025-03-11 06:57:55,392 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 48/125 [2025-03-11 06:57:55,429 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 49/125 [2025-03-11 06:57:55,463 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 50/125 [2025-03-11 06:57:55,496 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 51/125 [2025-03-11 06:57:55,526 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 52/125 [2025-03-11 06:57:55,557 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 53/125 [2025-03-11 06:57:55,587 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 54/125 [2025-03-11 06:57:55,618 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 55/125 [2025-03-11 06:57:55,644 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 56/125 [2025-03-11 06:57:55,670 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 57/125 [2025-03-11 06:57:55,701 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 58/125 [2025-03-11 06:57:55,728 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 59/125 [2025-03-11 06:57:55,755 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 60/125 [2025-03-11 06:57:55,782 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 61/125 [2025-03-11 06:57:55,809 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 62/125 [2025-03-11 06:57:55,836 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 63/125 [2025-03-11 06:57:55,862 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 64/125 [2025-03-11 06:57:55,889 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 65/125 [2025-03-11 06:57:55,930 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 66/125 [2025-03-11 06:57:55,955 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 67/125 [2025-03-11 06:57:55,984 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 68/125 [2025-03-11 06:57:56,011 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 69/125 [2025-03-11 06:57:56,036 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 70/125 [2025-03-11 06:57:56,062 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 71/125 [2025-03-11 06:57:56,089 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 72/125 [2025-03-11 06:57:56,115 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 73/125 [2025-03-11 06:57:56,143 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 74/125 [2025-03-11 06:57:56,169 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 75/125 [2025-03-11 06:57:56,196 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 76/125 [2025-03-11 06:57:56,223 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 77/125 [2025-03-11 06:57:56,249 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 78/125 [2025-03-11 06:57:56,276 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 79/125 [2025-03-11 06:57:56,303 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 80/125 [2025-03-11 06:57:56,332 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 81/125 [2025-03-11 06:57:56,360 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 82/125 [2025-03-11 06:57:56,390 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 83/125 [2025-03-11 06:57:56,418 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 84/125 [2025-03-11 06:57:56,446 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 85/125 [2025-03-11 06:57:56,473 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 86/125 [2025-03-11 06:57:56,501 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 87/125 [2025-03-11 06:57:56,529 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 88/125 [2025-03-11 06:57:56,556 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 89/125 [2025-03-11 06:57:56,591 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 90/125 [2025-03-11 06:57:56,619 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 91/125 [2025-03-11 06:57:56,647 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 92/125 [2025-03-11 06:57:56,674 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 93/125 [2025-03-11 06:57:56,701 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 94/125 [2025-03-11 06:57:56,729 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 95/125 [2025-03-11 06:57:56,756 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 96/125 [2025-03-11 06:57:56,784 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 97/125 [2025-03-11 06:57:56,813 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 98/125 [2025-03-11 06:57:56,842 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 99/125 [2025-03-11 06:57:56,869 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 100/125 [2025-03-11 06:57:56,896 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 101/125 [2025-03-11 06:57:56,923 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 102/125 [2025-03-11 06:57:56,951 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 103/125 [2025-03-11 06:57:56,979 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 104/125 [2025-03-11 06:57:57,006 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 105/125 [2025-03-11 06:57:57,035 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 106/125 [2025-03-11 06:57:57,062 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 107/125 [2025-03-11 06:57:57,089 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 108/125 [2025-03-11 06:57:57,116 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 109/125 [2025-03-11 06:57:57,143 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 110/125 [2025-03-11 06:57:57,172 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 111/125 [2025-03-11 06:57:57,201 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 112/125 [2025-03-11 06:57:57,227 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 113/125 [2025-03-11 06:57:57,254 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 114/125 [2025-03-11 06:57:57,285 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 115/125 [2025-03-11 06:57:57,312 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 116/125 [2025-03-11 06:57:57,338 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 117/125 [2025-03-11 06:57:57,363 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 118/125 [2025-03-11 06:57:57,393 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 119/125 [2025-03-11 06:57:57,421 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 120/125 [2025-03-11 06:57:57,447 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 121/125 [2025-03-11 06:57:57,474 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 122/125 [2025-03-11 06:57:57,500 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 123/125 [2025-03-11 06:57:57,526 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 124/125 [2025-03-11 06:57:57,663 INFO test.py line 291 2389709] Test: scene0144_01 [23/78]-116341 Batch 3.715 (4.514) Accuracy 0.8371 (0.2901) mIoU 0.3034 (0.2430) [2025-03-11 06:57:57,716 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 0/145 [2025-03-11 06:57:57,741 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 1/145 [2025-03-11 06:57:57,766 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 2/145 [2025-03-11 06:57:57,791 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 3/145 [2025-03-11 06:57:57,816 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 4/145 [2025-03-11 06:57:57,841 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 5/145 [2025-03-11 06:57:57,866 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 6/145 [2025-03-11 06:57:57,892 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 7/145 [2025-03-11 06:57:57,916 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 8/145 [2025-03-11 06:57:57,941 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 9/145 [2025-03-11 06:57:57,966 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 10/145 [2025-03-11 06:57:57,991 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 11/145 [2025-03-11 06:57:58,016 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 12/145 [2025-03-11 06:57:58,041 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 13/145 [2025-03-11 06:57:58,066 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 14/145 [2025-03-11 06:57:58,092 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 15/145 [2025-03-11 06:57:58,117 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 16/145 [2025-03-11 06:57:58,143 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 17/145 [2025-03-11 06:57:58,167 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 18/145 [2025-03-11 06:57:58,192 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 19/145 [2025-03-11 06:57:58,217 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 20/145 [2025-03-11 06:57:58,242 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 21/145 [2025-03-11 06:57:58,267 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 22/145 [2025-03-11 06:57:58,292 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 23/145 [2025-03-11 06:57:58,318 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 24/145 [2025-03-11 06:57:58,342 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 25/145 [2025-03-11 06:57:58,367 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 26/145 [2025-03-11 06:57:58,392 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 27/145 [2025-03-11 06:57:58,423 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 28/145 [2025-03-11 06:57:58,448 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 29/145 [2025-03-11 06:57:58,473 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 30/145 [2025-03-11 06:57:58,498 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 31/145 [2025-03-11 06:57:58,522 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 32/145 [2025-03-11 06:57:58,547 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 33/145 [2025-03-11 06:57:58,572 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 34/145 [2025-03-11 06:57:58,599 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 35/145 [2025-03-11 06:57:58,625 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 36/145 [2025-03-11 06:57:58,649 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 37/145 [2025-03-11 06:57:58,680 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 38/145 [2025-03-11 06:57:58,705 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 39/145 [2025-03-11 06:57:58,734 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 40/145 [2025-03-11 06:57:58,762 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 41/145 [2025-03-11 06:57:58,790 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 42/145 [2025-03-11 06:57:58,821 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 43/145 [2025-03-11 06:57:58,846 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 44/145 [2025-03-11 06:57:58,878 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 45/145 [2025-03-11 06:57:58,903 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 46/145 [2025-03-11 06:57:58,930 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 47/145 [2025-03-11 06:57:58,959 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 48/145 [2025-03-11 06:57:58,984 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 49/145 [2025-03-11 06:57:59,013 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 50/145 [2025-03-11 06:57:59,038 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 51/145 [2025-03-11 06:57:59,062 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 52/145 [2025-03-11 06:57:59,087 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 53/145 [2025-03-11 06:57:59,112 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 54/145 [2025-03-11 06:57:59,138 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 55/145 [2025-03-11 06:57:59,163 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 56/145 [2025-03-11 06:57:59,187 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 57/145 [2025-03-11 06:57:59,213 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 58/145 [2025-03-11 06:57:59,263 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 59/145 [2025-03-11 06:57:59,306 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 60/145 [2025-03-11 06:57:59,356 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 61/145 [2025-03-11 06:57:59,381 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 62/145 [2025-03-11 06:57:59,412 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 63/145 [2025-03-11 06:57:59,438 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 64/145 [2025-03-11 06:57:59,463 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 65/145 [2025-03-11 06:57:59,488 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 66/145 [2025-03-11 06:57:59,512 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 67/145 [2025-03-11 06:57:59,541 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 68/145 [2025-03-11 06:57:59,566 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 69/145 [2025-03-11 06:57:59,592 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 70/145 [2025-03-11 06:57:59,619 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 71/145 [2025-03-11 06:57:59,646 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 72/145 [2025-03-11 06:57:59,671 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 73/145 [2025-03-11 06:57:59,697 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 74/145 [2025-03-11 06:57:59,721 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 75/145 [2025-03-11 06:57:59,747 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 76/145 [2025-03-11 06:57:59,780 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 77/145 [2025-03-11 06:57:59,813 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 78/145 [2025-03-11 06:57:59,851 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 79/145 [2025-03-11 06:57:59,883 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 80/145 [2025-03-11 06:57:59,918 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 81/145 [2025-03-11 06:58:00,103 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 82/145 [2025-03-11 06:58:00,136 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 83/145 [2025-03-11 06:58:00,170 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 84/145 [2025-03-11 06:58:00,205 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 85/145 [2025-03-11 06:58:00,236 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 86/145 [2025-03-11 06:58:00,271 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 87/145 [2025-03-11 06:58:00,303 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 88/145 [2025-03-11 06:58:00,335 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 89/145 [2025-03-11 06:58:00,368 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 90/145 [2025-03-11 06:58:00,403 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 91/145 [2025-03-11 06:58:00,436 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 92/145 [2025-03-11 06:58:00,480 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 93/145 [2025-03-11 06:58:00,519 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 94/145 [2025-03-11 06:58:00,562 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 95/145 [2025-03-11 06:58:00,593 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 96/145 [2025-03-11 06:58:00,619 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 97/145 [2025-03-11 06:58:00,646 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 98/145 [2025-03-11 06:58:00,673 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 99/145 [2025-03-11 06:58:00,699 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 100/145 [2025-03-11 06:58:00,725 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 101/145 [2025-03-11 06:58:00,751 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 102/145 [2025-03-11 06:58:00,777 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 103/145 [2025-03-11 06:58:00,807 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 104/145 [2025-03-11 06:58:00,834 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 105/145 [2025-03-11 06:58:00,861 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 106/145 [2025-03-11 06:58:00,886 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 107/145 [2025-03-11 06:58:00,920 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 108/145 [2025-03-11 06:58:00,948 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 109/145 [2025-03-11 06:58:00,974 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 110/145 [2025-03-11 06:58:01,001 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 111/145 [2025-03-11 06:58:01,028 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 112/145 [2025-03-11 06:58:01,061 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 113/145 [2025-03-11 06:58:01,091 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 114/145 [2025-03-11 06:58:01,117 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 115/145 [2025-03-11 06:58:01,143 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 116/145 [2025-03-11 06:58:01,169 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 117/145 [2025-03-11 06:58:01,194 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 118/145 [2025-03-11 06:58:01,219 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 119/145 [2025-03-11 06:58:01,256 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 120/145 [2025-03-11 06:58:01,281 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 121/145 [2025-03-11 06:58:01,307 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 122/145 [2025-03-11 06:58:01,331 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 123/145 [2025-03-11 06:58:01,356 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 124/145 [2025-03-11 06:58:01,381 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 125/145 [2025-03-11 06:58:01,406 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 126/145 [2025-03-11 06:58:01,431 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 127/145 [2025-03-11 06:58:01,458 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 128/145 [2025-03-11 06:58:01,484 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 129/145 [2025-03-11 06:58:01,511 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 130/145 [2025-03-11 06:58:01,536 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 131/145 [2025-03-11 06:58:01,561 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 132/145 [2025-03-11 06:58:01,586 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 133/145 [2025-03-11 06:58:01,612 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 134/145 [2025-03-11 06:58:01,637 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 135/145 [2025-03-11 06:58:01,661 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 136/145 [2025-03-11 06:58:01,711 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 137/145 [2025-03-11 06:58:01,758 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 138/145 [2025-03-11 06:58:01,796 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 139/145 [2025-03-11 06:58:01,820 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 140/145 [2025-03-11 06:58:01,845 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 141/145 [2025-03-11 06:58:01,869 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 142/145 [2025-03-11 06:58:01,895 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 143/145 [2025-03-11 06:58:01,920 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 144/145 [2025-03-11 06:58:02,084 INFO test.py line 291 2389709] Test: scene0382_00 [24/78]-100285 Batch 4.421 (4.511) Accuracy 0.9282 (0.2911) mIoU 0.5766 (0.2441) [2025-03-11 06:58:02,132 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 0/121 [2025-03-11 06:58:02,157 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 1/121 [2025-03-11 06:58:02,186 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 2/121 [2025-03-11 06:58:02,213 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 3/121 [2025-03-11 06:58:02,239 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 4/121 [2025-03-11 06:58:02,279 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 5/121 [2025-03-11 06:58:02,320 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 6/121 [2025-03-11 06:58:02,362 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 7/121 [2025-03-11 06:58:02,387 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 8/121 [2025-03-11 06:58:02,412 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 9/121 [2025-03-11 06:58:02,437 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 10/121 [2025-03-11 06:58:02,461 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 11/121 [2025-03-11 06:58:02,486 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 12/121 [2025-03-11 06:58:02,510 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 13/121 [2025-03-11 06:58:02,551 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 14/121 [2025-03-11 06:58:02,592 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 15/121 [2025-03-11 06:58:02,633 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 16/121 [2025-03-11 06:58:02,660 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 17/121 [2025-03-11 06:58:02,684 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 18/121 [2025-03-11 06:58:02,726 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 19/121 [2025-03-11 06:58:02,750 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 20/121 [2025-03-11 06:58:02,775 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 21/121 [2025-03-11 06:58:02,799 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 22/121 [2025-03-11 06:58:02,824 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 23/121 [2025-03-11 06:58:02,861 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 24/121 [2025-03-11 06:58:02,913 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 25/121 [2025-03-11 06:58:02,939 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 26/121 [2025-03-11 06:58:02,964 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 27/121 [2025-03-11 06:58:02,989 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 28/121 [2025-03-11 06:58:03,015 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 29/121 [2025-03-11 06:58:03,040 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 30/121 [2025-03-11 06:58:03,066 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 31/121 [2025-03-11 06:58:03,091 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 32/121 [2025-03-11 06:58:03,116 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 33/121 [2025-03-11 06:58:03,141 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 34/121 [2025-03-11 06:58:03,173 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 35/121 [2025-03-11 06:58:03,199 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 36/121 [2025-03-11 06:58:03,227 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 37/121 [2025-03-11 06:58:03,264 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 38/121 [2025-03-11 06:58:03,289 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 39/121 [2025-03-11 06:58:03,313 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 40/121 [2025-03-11 06:58:03,347 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 41/121 [2025-03-11 06:58:03,372 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 42/121 [2025-03-11 06:58:03,403 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 43/121 [2025-03-11 06:58:03,435 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 44/121 [2025-03-11 06:58:03,460 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 45/121 [2025-03-11 06:58:03,484 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 46/121 [2025-03-11 06:58:03,515 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 47/121 [2025-03-11 06:58:03,541 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 48/121 [2025-03-11 06:58:03,576 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 49/121 [2025-03-11 06:58:03,615 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 50/121 [2025-03-11 06:58:03,640 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 51/121 [2025-03-11 06:58:03,668 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 52/121 [2025-03-11 06:58:03,724 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 53/121 [2025-03-11 06:58:03,748 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 54/121 [2025-03-11 06:58:03,773 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 55/121 [2025-03-11 06:58:03,798 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 56/121 [2025-03-11 06:58:03,822 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 57/121 [2025-03-11 06:58:03,870 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 58/121 [2025-03-11 06:58:03,894 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 59/121 [2025-03-11 06:58:03,918 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 60/121 [2025-03-11 06:58:03,942 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 61/121 [2025-03-11 06:58:03,966 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 62/121 [2025-03-11 06:58:03,991 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 63/121 [2025-03-11 06:58:04,016 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 64/121 [2025-03-11 06:58:04,040 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 65/121 [2025-03-11 06:58:04,072 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 66/121 [2025-03-11 06:58:04,096 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 67/121 [2025-03-11 06:58:04,120 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 68/121 [2025-03-11 06:58:04,154 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 69/121 [2025-03-11 06:58:04,178 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 70/121 [2025-03-11 06:58:04,202 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 71/121 [2025-03-11 06:58:04,234 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 72/121 [2025-03-11 06:58:04,261 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 73/121 [2025-03-11 06:58:04,288 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 74/121 [2025-03-11 06:58:04,314 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 75/121 [2025-03-11 06:58:04,340 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 76/121 [2025-03-11 06:58:04,389 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 77/121 [2025-03-11 06:58:04,416 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 78/121 [2025-03-11 06:58:04,442 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 79/121 [2025-03-11 06:58:04,468 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 80/121 [2025-03-11 06:58:04,495 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 81/121 [2025-03-11 06:58:04,522 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 82/121 [2025-03-11 06:58:04,549 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 83/121 [2025-03-11 06:58:04,575 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 84/121 [2025-03-11 06:58:04,602 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 85/121 [2025-03-11 06:58:04,628 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 86/121 [2025-03-11 06:58:04,655 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 87/121 [2025-03-11 06:58:04,681 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 88/121 [2025-03-11 06:58:04,711 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 89/121 [2025-03-11 06:58:04,740 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 90/121 [2025-03-11 06:58:04,766 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 91/121 [2025-03-11 06:58:04,804 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 92/121 [2025-03-11 06:58:04,854 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 93/121 [2025-03-11 06:58:04,881 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 94/121 [2025-03-11 06:58:04,915 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 95/121 [2025-03-11 06:58:04,950 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 96/121 [2025-03-11 06:58:04,986 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 97/121 [2025-03-11 06:58:05,041 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 98/121 [2025-03-11 06:58:05,078 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 99/121 [2025-03-11 06:58:05,116 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 100/121 [2025-03-11 06:58:05,155 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 101/121 [2025-03-11 06:58:05,196 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 102/121 [2025-03-11 06:58:05,243 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 103/121 [2025-03-11 06:58:05,322 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 104/121 [2025-03-11 06:58:05,386 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 105/121 [2025-03-11 06:58:05,427 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 106/121 [2025-03-11 06:58:05,466 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 107/121 [2025-03-11 06:58:05,499 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 108/121 [2025-03-11 06:58:05,526 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 109/121 [2025-03-11 06:58:05,553 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 110/121 [2025-03-11 06:58:05,580 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 111/121 [2025-03-11 06:58:05,606 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 112/121 [2025-03-11 06:58:05,632 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 113/121 [2025-03-11 06:58:05,661 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 114/121 [2025-03-11 06:58:05,692 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 115/121 [2025-03-11 06:58:05,719 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 116/121 [2025-03-11 06:58:05,746 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 117/121 [2025-03-11 06:58:05,777 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 118/121 [2025-03-11 06:58:05,836 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 119/121 [2025-03-11 06:58:05,893 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 120/121 [2025-03-11 06:58:05,999 INFO test.py line 291 2389709] Test: scene0077_00 [25/78]-92807 Batch 3.915 (4.487) Accuracy 0.8580 (0.2908) mIoU 0.4759 (0.2445) [2025-03-11 06:58:06,058 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 0/159 [2025-03-11 06:58:06,087 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 1/159 [2025-03-11 06:58:06,117 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 2/159 [2025-03-11 06:58:06,145 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 3/159 [2025-03-11 06:58:06,174 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 4/159 [2025-03-11 06:58:06,202 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 5/159 [2025-03-11 06:58:06,232 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 6/159 [2025-03-11 06:58:06,263 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 7/159 [2025-03-11 06:58:06,322 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 8/159 [2025-03-11 06:58:06,378 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 9/159 [2025-03-11 06:58:06,407 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 10/159 [2025-03-11 06:58:06,436 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 11/159 [2025-03-11 06:58:06,465 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 12/159 [2025-03-11 06:58:06,494 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 13/159 [2025-03-11 06:58:06,523 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 14/159 [2025-03-11 06:58:06,582 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 15/159 [2025-03-11 06:58:06,639 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 16/159 [2025-03-11 06:58:06,667 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 17/159 [2025-03-11 06:58:06,696 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 18/159 [2025-03-11 06:58:06,723 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 19/159 [2025-03-11 06:58:06,778 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 20/159 [2025-03-11 06:58:06,830 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 21/159 [2025-03-11 06:58:06,857 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 22/159 [2025-03-11 06:58:06,883 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 23/159 [2025-03-11 06:58:06,911 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 24/159 [2025-03-11 06:58:06,938 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 25/159 [2025-03-11 06:58:06,965 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 26/159 [2025-03-11 06:58:07,022 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 27/159 [2025-03-11 06:58:07,050 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 28/159 [2025-03-11 06:58:07,078 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 29/159 [2025-03-11 06:58:07,106 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 30/159 [2025-03-11 06:58:07,134 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 31/159 [2025-03-11 06:58:07,162 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 32/159 [2025-03-11 06:58:07,190 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 33/159 [2025-03-11 06:58:07,221 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 34/159 [2025-03-11 06:58:07,263 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 35/159 [2025-03-11 06:58:07,291 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 36/159 [2025-03-11 06:58:07,320 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 37/159 [2025-03-11 06:58:07,348 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 38/159 [2025-03-11 06:58:07,378 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 39/159 [2025-03-11 06:58:07,404 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 40/159 [2025-03-11 06:58:07,430 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 41/159 [2025-03-11 06:58:07,455 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 42/159 [2025-03-11 06:58:07,482 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 43/159 [2025-03-11 06:58:07,508 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 44/159 [2025-03-11 06:58:07,533 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 45/159 [2025-03-11 06:58:07,561 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 46/159 [2025-03-11 06:58:07,593 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 47/159 [2025-03-11 06:58:07,619 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 48/159 [2025-03-11 06:58:07,683 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 49/159 [2025-03-11 06:58:07,721 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 50/159 [2025-03-11 06:58:07,763 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 51/159 [2025-03-11 06:58:07,808 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 52/159 [2025-03-11 06:58:07,839 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 53/159 [2025-03-11 06:58:07,864 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 54/159 [2025-03-11 06:58:07,888 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 55/159 [2025-03-11 06:58:07,915 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 56/159 [2025-03-11 06:58:07,941 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 57/159 [2025-03-11 06:58:07,965 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 58/159 [2025-03-11 06:58:07,992 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 59/159 [2025-03-11 06:58:08,017 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 60/159 [2025-03-11 06:58:08,044 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 61/159 [2025-03-11 06:58:08,068 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 62/159 [2025-03-11 06:58:08,095 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 63/159 [2025-03-11 06:58:08,120 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 64/159 [2025-03-11 06:58:08,145 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 65/159 [2025-03-11 06:58:08,170 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 66/159 [2025-03-11 06:58:08,208 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 67/159 [2025-03-11 06:58:08,233 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 68/159 [2025-03-11 06:58:08,258 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 69/159 [2025-03-11 06:58:08,313 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 70/159 [2025-03-11 06:58:08,343 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 71/159 [2025-03-11 06:58:08,374 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 72/159 [2025-03-11 06:58:08,404 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 73/159 [2025-03-11 06:58:08,433 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 74/159 [2025-03-11 06:58:08,464 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 75/159 [2025-03-11 06:58:08,494 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 76/159 [2025-03-11 06:58:08,525 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 77/159 [2025-03-11 06:58:08,568 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 78/159 [2025-03-11 06:58:08,597 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 79/159 [2025-03-11 06:58:08,627 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 80/159 [2025-03-11 06:58:08,657 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 81/159 [2025-03-11 06:58:08,688 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 82/159 [2025-03-11 06:58:08,719 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 83/159 [2025-03-11 06:58:08,746 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 84/159 [2025-03-11 06:58:08,772 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 85/159 [2025-03-11 06:58:08,798 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 86/159 [2025-03-11 06:58:08,824 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 87/159 [2025-03-11 06:58:08,849 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 88/159 [2025-03-11 06:58:08,875 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 89/159 [2025-03-11 06:58:08,901 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 90/159 [2025-03-11 06:58:08,932 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 91/159 [2025-03-11 06:58:08,957 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 92/159 [2025-03-11 06:58:08,991 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 93/159 [2025-03-11 06:58:09,017 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 94/159 [2025-03-11 06:58:09,045 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 95/159 [2025-03-11 06:58:09,077 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 96/159 [2025-03-11 06:58:09,102 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 97/159 [2025-03-11 06:58:09,131 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 98/159 [2025-03-11 06:58:09,156 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 99/159 [2025-03-11 06:58:09,180 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 100/159 [2025-03-11 06:58:09,205 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 101/159 [2025-03-11 06:58:09,231 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 102/159 [2025-03-11 06:58:09,257 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 103/159 [2025-03-11 06:58:09,283 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 104/159 [2025-03-11 06:58:09,309 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 105/159 [2025-03-11 06:58:09,334 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 106/159 [2025-03-11 06:58:09,360 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 107/159 [2025-03-11 06:58:09,387 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 108/159 [2025-03-11 06:58:09,413 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 109/159 [2025-03-11 06:58:09,438 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 110/159 [2025-03-11 06:58:09,464 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 111/159 [2025-03-11 06:58:09,490 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 112/159 [2025-03-11 06:58:09,516 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 113/159 [2025-03-11 06:58:09,541 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 114/159 [2025-03-11 06:58:09,568 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 115/159 [2025-03-11 06:58:09,595 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 116/159 [2025-03-11 06:58:09,620 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 117/159 [2025-03-11 06:58:09,651 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 118/159 [2025-03-11 06:58:09,678 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 119/159 [2025-03-11 06:58:09,711 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 120/159 [2025-03-11 06:58:09,743 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 121/159 [2025-03-11 06:58:09,768 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 122/159 [2025-03-11 06:58:09,793 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 123/159 [2025-03-11 06:58:09,819 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 124/159 [2025-03-11 06:58:09,844 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 125/159 [2025-03-11 06:58:09,870 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 126/159 [2025-03-11 06:58:09,895 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 127/159 [2025-03-11 06:58:09,920 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 128/159 [2025-03-11 06:58:09,945 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 129/159 [2025-03-11 06:58:09,971 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 130/159 [2025-03-11 06:58:09,997 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 131/159 [2025-03-11 06:58:10,022 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 132/159 [2025-03-11 06:58:10,048 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 133/159 [2025-03-11 06:58:10,094 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 134/159 [2025-03-11 06:58:10,120 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 135/159 [2025-03-11 06:58:10,146 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 136/159 [2025-03-11 06:58:10,179 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 137/159 [2025-03-11 06:58:10,205 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 138/159 [2025-03-11 06:58:10,235 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 139/159 [2025-03-11 06:58:10,264 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 140/159 [2025-03-11 06:58:10,289 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 141/159 [2025-03-11 06:58:10,315 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 142/159 [2025-03-11 06:58:10,341 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 143/159 [2025-03-11 06:58:10,370 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 144/159 [2025-03-11 06:58:10,410 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 145/159 [2025-03-11 06:58:10,455 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 146/159 [2025-03-11 06:58:10,484 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 147/159 [2025-03-11 06:58:10,510 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 148/159 [2025-03-11 06:58:10,535 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 149/159 [2025-03-11 06:58:10,560 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 150/159 [2025-03-11 06:58:10,586 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 151/159 [2025-03-11 06:58:10,611 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 152/159 [2025-03-11 06:58:10,637 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 153/159 [2025-03-11 06:58:10,662 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 154/159 [2025-03-11 06:58:10,689 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 155/159 [2025-03-11 06:58:10,716 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 156/159 [2025-03-11 06:58:10,743 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 157/159 [2025-03-11 06:58:10,770 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 158/159 [2025-03-11 06:58:10,902 INFO test.py line 291 2389709] Test: scene0084_00 [26/78]-116845 Batch 4.902 (4.503) Accuracy 0.7188 (0.3103) mIoU 0.3168 (0.2594) [2025-03-11 06:58:10,979 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 0/121 [2025-03-11 06:58:11,014 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 1/121 [2025-03-11 06:58:11,048 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 2/121 [2025-03-11 06:58:11,081 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 3/121 [2025-03-11 06:58:11,123 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 4/121 [2025-03-11 06:58:11,156 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 5/121 [2025-03-11 06:58:11,191 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 6/121 [2025-03-11 06:58:11,224 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 7/121 [2025-03-11 06:58:11,258 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 8/121 [2025-03-11 06:58:11,295 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 9/121 [2025-03-11 06:58:11,328 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 10/121 [2025-03-11 06:58:11,362 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 11/121 [2025-03-11 06:58:11,400 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 12/121 [2025-03-11 06:58:11,432 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 13/121 [2025-03-11 06:58:11,491 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 14/121 [2025-03-11 06:58:11,524 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 15/121 [2025-03-11 06:58:11,561 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 16/121 [2025-03-11 06:58:11,601 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 17/121 [2025-03-11 06:58:11,633 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 18/121 [2025-03-11 06:58:11,667 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 19/121 [2025-03-11 06:58:11,705 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 20/121 [2025-03-11 06:58:11,741 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 21/121 [2025-03-11 06:58:11,773 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 22/121 [2025-03-11 06:58:11,808 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 23/121 [2025-03-11 06:58:11,840 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 24/121 [2025-03-11 06:58:11,873 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 25/121 [2025-03-11 06:58:11,906 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 26/121 [2025-03-11 06:58:11,940 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 27/121 [2025-03-11 06:58:11,972 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 28/121 [2025-03-11 06:58:12,005 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 29/121 [2025-03-11 06:58:12,037 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 30/121 [2025-03-11 06:58:12,071 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 31/121 [2025-03-11 06:58:12,114 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 32/121 [2025-03-11 06:58:12,148 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 33/121 [2025-03-11 06:58:12,181 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 34/121 [2025-03-11 06:58:12,213 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 35/121 [2025-03-11 06:58:12,252 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 36/121 [2025-03-11 06:58:12,289 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 37/121 [2025-03-11 06:58:12,320 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 38/121 [2025-03-11 06:58:12,360 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 39/121 [2025-03-11 06:58:12,392 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 40/121 [2025-03-11 06:58:12,424 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 41/121 [2025-03-11 06:58:12,456 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 42/121 [2025-03-11 06:58:12,488 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 43/121 [2025-03-11 06:58:12,520 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 44/121 [2025-03-11 06:58:12,552 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 45/121 [2025-03-11 06:58:12,582 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 46/121 [2025-03-11 06:58:12,623 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 47/121 [2025-03-11 06:58:12,662 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 48/121 [2025-03-11 06:58:12,705 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 49/121 [2025-03-11 06:58:12,746 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 50/121 [2025-03-11 06:58:12,798 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 51/121 [2025-03-11 06:58:12,833 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 52/121 [2025-03-11 06:58:12,869 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 53/121 [2025-03-11 06:58:12,904 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 54/121 [2025-03-11 06:58:12,940 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 55/121 [2025-03-11 06:58:12,980 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 56/121 [2025-03-11 06:58:13,017 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 57/121 [2025-03-11 06:58:13,050 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 58/121 [2025-03-11 06:58:13,083 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 59/121 [2025-03-11 06:58:13,114 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 60/121 [2025-03-11 06:58:13,145 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 61/121 [2025-03-11 06:58:13,188 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 62/121 [2025-03-11 06:58:13,233 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 63/121 [2025-03-11 06:58:13,278 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 64/121 [2025-03-11 06:58:13,310 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 65/121 [2025-03-11 06:58:13,342 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 66/121 [2025-03-11 06:58:13,373 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 67/121 [2025-03-11 06:58:13,404 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 68/121 [2025-03-11 06:58:13,448 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 69/121 [2025-03-11 06:58:13,493 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 70/121 [2025-03-11 06:58:13,531 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 71/121 [2025-03-11 06:58:13,562 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 72/121 [2025-03-11 06:58:13,595 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 73/121 [2025-03-11 06:58:13,626 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 74/121 [2025-03-11 06:58:13,667 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 75/121 [2025-03-11 06:58:13,712 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 76/121 [2025-03-11 06:58:13,756 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 77/121 [2025-03-11 06:58:13,788 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 78/121 [2025-03-11 06:58:13,822 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 79/121 [2025-03-11 06:58:13,856 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 80/121 [2025-03-11 06:58:13,890 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 81/121 [2025-03-11 06:58:13,923 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 82/121 [2025-03-11 06:58:13,957 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 83/121 [2025-03-11 06:58:13,991 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 84/121 [2025-03-11 06:58:14,024 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 85/121 [2025-03-11 06:58:14,058 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 86/121 [2025-03-11 06:58:14,092 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 87/121 [2025-03-11 06:58:14,126 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 88/121 [2025-03-11 06:58:14,160 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 89/121 [2025-03-11 06:58:14,194 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 90/121 [2025-03-11 06:58:14,229 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 91/121 [2025-03-11 06:58:14,274 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 92/121 [2025-03-11 06:58:14,309 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 93/121 [2025-03-11 06:58:14,342 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 94/121 [2025-03-11 06:58:14,377 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 95/121 [2025-03-11 06:58:14,411 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 96/121 [2025-03-11 06:58:14,445 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 97/121 [2025-03-11 06:58:14,478 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 98/121 [2025-03-11 06:58:14,512 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 99/121 [2025-03-11 06:58:14,546 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 100/121 [2025-03-11 06:58:14,581 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 101/121 [2025-03-11 06:58:14,616 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 102/121 [2025-03-11 06:58:14,650 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 103/121 [2025-03-11 06:58:14,684 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 104/121 [2025-03-11 06:58:14,717 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 105/121 [2025-03-11 06:58:14,753 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 106/121 [2025-03-11 06:58:14,787 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 107/121 [2025-03-11 06:58:14,822 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 108/121 [2025-03-11 06:58:14,858 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 109/121 [2025-03-11 06:58:14,892 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 110/121 [2025-03-11 06:58:14,926 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 111/121 [2025-03-11 06:58:14,960 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 112/121 [2025-03-11 06:58:14,992 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 113/121 [2025-03-11 06:58:15,026 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 114/121 [2025-03-11 06:58:15,060 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 115/121 [2025-03-11 06:58:15,101 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 116/121 [2025-03-11 06:58:15,133 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 117/121 [2025-03-11 06:58:15,171 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 118/121 [2025-03-11 06:58:15,203 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 119/121 [2025-03-11 06:58:15,237 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 120/121 [2025-03-11 06:58:15,451 INFO test.py line 291 2389709] Test: scene0608_00 [27/78]-186579 Batch 4.549 (4.504) Accuracy 0.7623 (0.3080) mIoU 0.3118 (0.2558) [2025-03-11 06:58:15,517 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 0/134 [2025-03-11 06:58:15,546 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 1/134 [2025-03-11 06:58:15,576 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 2/134 [2025-03-11 06:58:15,606 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 3/134 [2025-03-11 06:58:15,635 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 4/134 [2025-03-11 06:58:15,665 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 5/134 [2025-03-11 06:58:15,696 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 6/134 [2025-03-11 06:58:15,726 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 7/134 [2025-03-11 06:58:15,754 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 8/134 [2025-03-11 06:58:15,784 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 9/134 [2025-03-11 06:58:15,815 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 10/134 [2025-03-11 06:58:15,845 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 11/134 [2025-03-11 06:58:15,873 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 12/134 [2025-03-11 06:58:15,902 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 13/134 [2025-03-11 06:58:15,931 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 14/134 [2025-03-11 06:58:15,960 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 15/134 [2025-03-11 06:58:15,991 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 16/134 [2025-03-11 06:58:16,020 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 17/134 [2025-03-11 06:58:16,048 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 18/134 [2025-03-11 06:58:16,077 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 19/134 [2025-03-11 06:58:16,114 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 20/134 [2025-03-11 06:58:16,143 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 21/134 [2025-03-11 06:58:16,172 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 22/134 [2025-03-11 06:58:16,203 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 23/134 [2025-03-11 06:58:16,232 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 24/134 [2025-03-11 06:58:16,261 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 25/134 [2025-03-11 06:58:16,289 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 26/134 [2025-03-11 06:58:16,318 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 27/134 [2025-03-11 06:58:16,348 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 28/134 [2025-03-11 06:58:16,376 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 29/134 [2025-03-11 06:58:16,405 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 30/134 [2025-03-11 06:58:16,435 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 31/134 [2025-03-11 06:58:16,465 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 32/134 [2025-03-11 06:58:16,495 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 33/134 [2025-03-11 06:58:16,524 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 34/134 [2025-03-11 06:58:16,553 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 35/134 [2025-03-11 06:58:16,582 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 36/134 [2025-03-11 06:58:16,611 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 37/134 [2025-03-11 06:58:16,639 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 38/134 [2025-03-11 06:58:16,668 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 39/134 [2025-03-11 06:58:16,697 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 40/134 [2025-03-11 06:58:16,725 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 41/134 [2025-03-11 06:58:16,753 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 42/134 [2025-03-11 06:58:16,780 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 43/134 [2025-03-11 06:58:16,816 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 44/134 [2025-03-11 06:58:16,843 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 45/134 [2025-03-11 06:58:16,871 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 46/134 [2025-03-11 06:58:16,901 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 47/134 [2025-03-11 06:58:16,927 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 48/134 [2025-03-11 06:58:16,956 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 49/134 [2025-03-11 06:58:16,984 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 50/134 [2025-03-11 06:58:17,013 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 51/134 [2025-03-11 06:58:17,042 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 52/134 [2025-03-11 06:58:17,071 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 53/134 [2025-03-11 06:58:17,098 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 54/134 [2025-03-11 06:58:17,128 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 55/134 [2025-03-11 06:58:17,155 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 56/134 [2025-03-11 06:58:17,183 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 57/134 [2025-03-11 06:58:17,211 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 58/134 [2025-03-11 06:58:17,238 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 59/134 [2025-03-11 06:58:17,266 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 60/134 [2025-03-11 06:58:17,293 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 61/134 [2025-03-11 06:58:17,320 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 62/134 [2025-03-11 06:58:17,347 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 63/134 [2025-03-11 06:58:17,373 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 64/134 [2025-03-11 06:58:17,407 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 65/134 [2025-03-11 06:58:17,433 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 66/134 [2025-03-11 06:58:17,459 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 67/134 [2025-03-11 06:58:17,486 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 68/134 [2025-03-11 06:58:17,514 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 69/134 [2025-03-11 06:58:17,545 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 70/134 [2025-03-11 06:58:17,577 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 71/134 [2025-03-11 06:58:17,610 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 72/134 [2025-03-11 06:58:17,641 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 73/134 [2025-03-11 06:58:17,672 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 74/134 [2025-03-11 06:58:17,704 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 75/134 [2025-03-11 06:58:17,734 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 76/134 [2025-03-11 06:58:17,767 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 77/134 [2025-03-11 06:58:17,799 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 78/134 [2025-03-11 06:58:17,830 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 79/134 [2025-03-11 06:58:17,873 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 80/134 [2025-03-11 06:58:17,904 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 81/134 [2025-03-11 06:58:17,936 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 82/134 [2025-03-11 06:58:17,968 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 83/134 [2025-03-11 06:58:18,001 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 84/134 [2025-03-11 06:58:18,028 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 85/134 [2025-03-11 06:58:18,056 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 86/134 [2025-03-11 06:58:18,084 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 87/134 [2025-03-11 06:58:18,112 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 88/134 [2025-03-11 06:58:18,140 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 89/134 [2025-03-11 06:58:18,169 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 90/134 [2025-03-11 06:58:18,197 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 91/134 [2025-03-11 06:58:18,227 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 92/134 [2025-03-11 06:58:18,256 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 93/134 [2025-03-11 06:58:18,284 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 94/134 [2025-03-11 06:58:18,314 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 95/134 [2025-03-11 06:58:18,343 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 96/134 [2025-03-11 06:58:18,374 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 97/134 [2025-03-11 06:58:18,404 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 98/134 [2025-03-11 06:58:18,434 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 99/134 [2025-03-11 06:58:18,464 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 100/134 [2025-03-11 06:58:18,492 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 101/134 [2025-03-11 06:58:18,522 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 102/134 [2025-03-11 06:58:18,550 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 103/134 [2025-03-11 06:58:18,578 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 104/134 [2025-03-11 06:58:18,607 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 105/134 [2025-03-11 06:58:18,635 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 106/134 [2025-03-11 06:58:18,664 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 107/134 [2025-03-11 06:58:18,692 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 108/134 [2025-03-11 06:58:18,720 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 109/134 [2025-03-11 06:58:18,749 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 110/134 [2025-03-11 06:58:18,777 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 111/134 [2025-03-11 06:58:18,805 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 112/134 [2025-03-11 06:58:18,833 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 113/134 [2025-03-11 06:58:18,861 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 114/134 [2025-03-11 06:58:18,890 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 115/134 [2025-03-11 06:58:18,918 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 116/134 [2025-03-11 06:58:18,947 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 117/134 [2025-03-11 06:58:18,975 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 118/134 [2025-03-11 06:58:19,003 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 119/134 [2025-03-11 06:58:19,031 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 120/134 [2025-03-11 06:58:19,063 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 121/134 [2025-03-11 06:58:19,091 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 122/134 [2025-03-11 06:58:19,118 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 123/134 [2025-03-11 06:58:19,146 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 124/134 [2025-03-11 06:58:19,173 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 125/134 [2025-03-11 06:58:19,201 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 126/134 [2025-03-11 06:58:19,229 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 127/134 [2025-03-11 06:58:19,258 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 128/134 [2025-03-11 06:58:19,286 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 129/134 [2025-03-11 06:58:19,315 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 130/134 [2025-03-11 06:58:19,343 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 131/134 [2025-03-11 06:58:19,372 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 132/134 [2025-03-11 06:58:19,401 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 133/134 [2025-03-11 06:58:19,571 INFO test.py line 291 2389709] Test: scene0558_01 [28/78]-141342 Batch 4.120 (4.491) Accuracy 0.8783 (0.3085) mIoU 0.5180 (0.2565) [2025-03-11 06:58:19,627 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 0/125 [2025-03-11 06:58:19,656 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 1/125 [2025-03-11 06:58:19,684 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 2/125 [2025-03-11 06:58:19,711 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 3/125 [2025-03-11 06:58:19,737 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 4/125 [2025-03-11 06:58:19,765 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 5/125 [2025-03-11 06:58:19,792 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 6/125 [2025-03-11 06:58:19,819 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 7/125 [2025-03-11 06:58:19,847 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 8/125 [2025-03-11 06:58:19,873 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 9/125 [2025-03-11 06:58:19,909 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 10/125 [2025-03-11 06:58:19,936 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 11/125 [2025-03-11 06:58:19,962 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 12/125 [2025-03-11 06:58:19,988 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 13/125 [2025-03-11 06:58:20,014 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 14/125 [2025-03-11 06:58:20,041 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 15/125 [2025-03-11 06:58:20,068 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 16/125 [2025-03-11 06:58:20,095 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 17/125 [2025-03-11 06:58:20,121 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 18/125 [2025-03-11 06:58:20,147 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 19/125 [2025-03-11 06:58:20,172 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 20/125 [2025-03-11 06:58:20,197 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 21/125 [2025-03-11 06:58:20,228 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 22/125 [2025-03-11 06:58:20,264 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 23/125 [2025-03-11 06:58:20,290 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 24/125 [2025-03-11 06:58:20,317 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 25/125 [2025-03-11 06:58:20,347 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 26/125 [2025-03-11 06:58:20,380 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 27/125 [2025-03-11 06:58:20,407 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 28/125 [2025-03-11 06:58:20,434 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 29/125 [2025-03-11 06:58:20,460 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 30/125 [2025-03-11 06:58:20,487 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 31/125 [2025-03-11 06:58:20,513 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 32/125 [2025-03-11 06:58:20,540 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 33/125 [2025-03-11 06:58:20,567 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 34/125 [2025-03-11 06:58:20,593 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 35/125 [2025-03-11 06:58:20,620 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 36/125 [2025-03-11 06:58:20,645 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 37/125 [2025-03-11 06:58:20,671 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 38/125 [2025-03-11 06:58:20,724 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 39/125 [2025-03-11 06:58:20,750 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 40/125 [2025-03-11 06:58:20,775 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 41/125 [2025-03-11 06:58:20,801 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 42/125 [2025-03-11 06:58:20,827 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 43/125 [2025-03-11 06:58:20,853 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 44/125 [2025-03-11 06:58:20,879 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 45/125 [2025-03-11 06:58:20,906 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 46/125 [2025-03-11 06:58:20,933 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 47/125 [2025-03-11 06:58:20,960 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 48/125 [2025-03-11 06:58:20,987 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 49/125 [2025-03-11 06:58:21,014 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 50/125 [2025-03-11 06:58:21,041 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 51/125 [2025-03-11 06:58:21,074 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 52/125 [2025-03-11 06:58:21,100 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 53/125 [2025-03-11 06:58:21,129 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 54/125 [2025-03-11 06:58:21,164 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 55/125 [2025-03-11 06:58:21,198 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 56/125 [2025-03-11 06:58:21,223 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 57/125 [2025-03-11 06:58:21,249 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 58/125 [2025-03-11 06:58:21,276 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 59/125 [2025-03-11 06:58:21,304 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 60/125 [2025-03-11 06:58:21,329 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 61/125 [2025-03-11 06:58:21,360 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 62/125 [2025-03-11 06:58:21,388 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 63/125 [2025-03-11 06:58:21,415 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 64/125 [2025-03-11 06:58:21,441 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 65/125 [2025-03-11 06:58:21,472 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 66/125 [2025-03-11 06:58:21,507 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 67/125 [2025-03-11 06:58:21,532 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 68/125 [2025-03-11 06:58:21,565 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 69/125 [2025-03-11 06:58:21,590 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 70/125 [2025-03-11 06:58:21,615 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 71/125 [2025-03-11 06:58:21,642 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 72/125 [2025-03-11 06:58:21,668 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 73/125 [2025-03-11 06:58:21,694 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 74/125 [2025-03-11 06:58:21,720 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 75/125 [2025-03-11 06:58:21,747 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 76/125 [2025-03-11 06:58:21,774 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 77/125 [2025-03-11 06:58:21,801 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 78/125 [2025-03-11 06:58:21,828 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 79/125 [2025-03-11 06:58:21,854 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 80/125 [2025-03-11 06:58:21,880 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 81/125 [2025-03-11 06:58:21,908 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 82/125 [2025-03-11 06:58:21,936 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 83/125 [2025-03-11 06:58:21,963 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 84/125 [2025-03-11 06:58:21,991 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 85/125 [2025-03-11 06:58:22,018 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 86/125 [2025-03-11 06:58:22,045 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 87/125 [2025-03-11 06:58:22,071 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 88/125 [2025-03-11 06:58:22,098 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 89/125 [2025-03-11 06:58:22,124 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 90/125 [2025-03-11 06:58:22,151 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 91/125 [2025-03-11 06:58:22,179 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 92/125 [2025-03-11 06:58:22,207 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 93/125 [2025-03-11 06:58:22,234 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 94/125 [2025-03-11 06:58:22,262 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 95/125 [2025-03-11 06:58:22,289 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 96/125 [2025-03-11 06:58:22,317 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 97/125 [2025-03-11 06:58:22,344 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 98/125 [2025-03-11 06:58:22,372 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 99/125 [2025-03-11 06:58:22,398 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 100/125 [2025-03-11 06:58:22,425 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 101/125 [2025-03-11 06:58:22,452 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 102/125 [2025-03-11 06:58:22,480 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 103/125 [2025-03-11 06:58:22,509 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 104/125 [2025-03-11 06:58:22,536 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 105/125 [2025-03-11 06:58:22,564 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 106/125 [2025-03-11 06:58:22,592 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 107/125 [2025-03-11 06:58:22,621 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 108/125 [2025-03-11 06:58:22,653 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 109/125 [2025-03-11 06:58:22,681 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 110/125 [2025-03-11 06:58:22,708 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 111/125 [2025-03-11 06:58:22,750 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 112/125 [2025-03-11 06:58:22,778 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 113/125 [2025-03-11 06:58:22,807 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 114/125 [2025-03-11 06:58:22,836 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 115/125 [2025-03-11 06:58:22,863 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 116/125 [2025-03-11 06:58:22,890 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 117/125 [2025-03-11 06:58:22,933 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 118/125 [2025-03-11 06:58:22,960 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 119/125 [2025-03-11 06:58:22,987 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 120/125 [2025-03-11 06:58:23,013 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 121/125 [2025-03-11 06:58:23,059 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 122/125 [2025-03-11 06:58:23,086 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 123/125 [2025-03-11 06:58:23,113 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 124/125 [2025-03-11 06:58:23,256 INFO test.py line 291 2389709] Test: scene0430_01 [29/78]-126166 Batch 3.684 (4.463) Accuracy 0.8659 (0.3084) mIoU 0.4724 (0.2561) [2025-03-11 06:58:23,319 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 0/144 [2025-03-11 06:58:23,346 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 1/144 [2025-03-11 06:58:23,373 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 2/144 [2025-03-11 06:58:23,400 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 3/144 [2025-03-11 06:58:23,426 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 4/144 [2025-03-11 06:58:23,452 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 5/144 [2025-03-11 06:58:23,479 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 6/144 [2025-03-11 06:58:23,505 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 7/144 [2025-03-11 06:58:23,549 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 8/144 [2025-03-11 06:58:23,576 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 9/144 [2025-03-11 06:58:23,604 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 10/144 [2025-03-11 06:58:23,630 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 11/144 [2025-03-11 06:58:23,667 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 12/144 [2025-03-11 06:58:23,693 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 13/144 [2025-03-11 06:58:23,720 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 14/144 [2025-03-11 06:58:23,747 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 15/144 [2025-03-11 06:58:23,775 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 16/144 [2025-03-11 06:58:23,802 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 17/144 [2025-03-11 06:58:23,829 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 18/144 [2025-03-11 06:58:23,856 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 19/144 [2025-03-11 06:58:23,883 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 20/144 [2025-03-11 06:58:23,910 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 21/144 [2025-03-11 06:58:23,938 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 22/144 [2025-03-11 06:58:23,965 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 23/144 [2025-03-11 06:58:23,992 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 24/144 [2025-03-11 06:58:24,019 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 25/144 [2025-03-11 06:58:24,045 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 26/144 [2025-03-11 06:58:24,075 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 27/144 [2025-03-11 06:58:24,102 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 28/144 [2025-03-11 06:58:24,128 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 29/144 [2025-03-11 06:58:24,164 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 30/144 [2025-03-11 06:58:24,191 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 31/144 [2025-03-11 06:58:24,218 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 32/144 [2025-03-11 06:58:24,245 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 33/144 [2025-03-11 06:58:24,272 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 34/144 [2025-03-11 06:58:24,306 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 35/144 [2025-03-11 06:58:24,332 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 36/144 [2025-03-11 06:58:24,358 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 37/144 [2025-03-11 06:58:24,385 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 38/144 [2025-03-11 06:58:24,411 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 39/144 [2025-03-11 06:58:24,438 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 40/144 [2025-03-11 06:58:24,465 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 41/144 [2025-03-11 06:58:24,492 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 42/144 [2025-03-11 06:58:24,519 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 43/144 [2025-03-11 06:58:24,554 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 44/144 [2025-03-11 06:58:24,580 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 45/144 [2025-03-11 06:58:24,606 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 46/144 [2025-03-11 06:58:24,633 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 47/144 [2025-03-11 06:58:24,660 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 48/144 [2025-03-11 06:58:24,686 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 49/144 [2025-03-11 06:58:24,713 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 50/144 [2025-03-11 06:58:24,739 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 51/144 [2025-03-11 06:58:24,769 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 52/144 [2025-03-11 06:58:24,797 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 53/144 [2025-03-11 06:58:24,823 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 54/144 [2025-03-11 06:58:24,854 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 55/144 [2025-03-11 06:58:24,881 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 56/144 [2025-03-11 06:58:24,908 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 57/144 [2025-03-11 06:58:24,935 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 58/144 [2025-03-11 06:58:24,969 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 59/144 [2025-03-11 06:58:24,995 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 60/144 [2025-03-11 06:58:25,021 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 61/144 [2025-03-11 06:58:25,046 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 62/144 [2025-03-11 06:58:25,074 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 63/144 [2025-03-11 06:58:25,107 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 64/144 [2025-03-11 06:58:25,140 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 65/144 [2025-03-11 06:58:25,168 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 66/144 [2025-03-11 06:58:25,194 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 67/144 [2025-03-11 06:58:25,224 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 68/144 [2025-03-11 06:58:25,259 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 69/144 [2025-03-11 06:58:25,285 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 70/144 [2025-03-11 06:58:25,311 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 71/144 [2025-03-11 06:58:25,337 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 72/144 [2025-03-11 06:58:25,364 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 73/144 [2025-03-11 06:58:25,390 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 74/144 [2025-03-11 06:58:25,424 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 75/144 [2025-03-11 06:58:25,450 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 76/144 [2025-03-11 06:58:25,477 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 77/144 [2025-03-11 06:58:25,503 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 78/144 [2025-03-11 06:58:25,529 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 79/144 [2025-03-11 06:58:25,556 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 80/144 [2025-03-11 06:58:25,583 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 81/144 [2025-03-11 06:58:25,609 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 82/144 [2025-03-11 06:58:25,635 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 83/144 [2025-03-11 06:58:25,661 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 84/144 [2025-03-11 06:58:25,686 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 85/144 [2025-03-11 06:58:25,712 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 86/144 [2025-03-11 06:58:25,760 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 87/144 [2025-03-11 06:58:25,785 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 88/144 [2025-03-11 06:58:25,812 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 89/144 [2025-03-11 06:58:25,838 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 90/144 [2025-03-11 06:58:25,864 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 91/144 [2025-03-11 06:58:25,891 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 92/144 [2025-03-11 06:58:25,919 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 93/144 [2025-03-11 06:58:25,945 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 94/144 [2025-03-11 06:58:25,971 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 95/144 [2025-03-11 06:58:25,998 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 96/144 [2025-03-11 06:58:26,026 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 97/144 [2025-03-11 06:58:26,053 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 98/144 [2025-03-11 06:58:26,096 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 99/144 [2025-03-11 06:58:26,123 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 100/144 [2025-03-11 06:58:26,150 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 101/144 [2025-03-11 06:58:26,178 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 102/144 [2025-03-11 06:58:26,206 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 103/144 [2025-03-11 06:58:26,236 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 104/144 [2025-03-11 06:58:26,263 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 105/144 [2025-03-11 06:58:26,291 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 106/144 [2025-03-11 06:58:26,319 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 107/144 [2025-03-11 06:58:26,348 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 108/144 [2025-03-11 06:58:26,375 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 109/144 [2025-03-11 06:58:26,402 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 110/144 [2025-03-11 06:58:26,430 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 111/144 [2025-03-11 06:58:26,458 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 112/144 [2025-03-11 06:58:26,487 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 113/144 [2025-03-11 06:58:26,515 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 114/144 [2025-03-11 06:58:26,541 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 115/144 [2025-03-11 06:58:26,569 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 116/144 [2025-03-11 06:58:26,596 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 117/144 [2025-03-11 06:58:26,622 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 118/144 [2025-03-11 06:58:26,651 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 119/144 [2025-03-11 06:58:26,678 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 120/144 [2025-03-11 06:58:26,714 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 121/144 [2025-03-11 06:58:26,738 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 122/144 [2025-03-11 06:58:26,762 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 123/144 [2025-03-11 06:58:26,786 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 124/144 [2025-03-11 06:58:26,810 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 125/144 [2025-03-11 06:58:26,834 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 126/144 [2025-03-11 06:58:26,858 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 127/144 [2025-03-11 06:58:26,896 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 128/144 [2025-03-11 06:58:26,927 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 129/144 [2025-03-11 06:58:26,959 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 130/144 [2025-03-11 06:58:26,994 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 131/144 [2025-03-11 06:58:27,025 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 132/144 [2025-03-11 06:58:27,055 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 133/144 [2025-03-11 06:58:27,086 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 134/144 [2025-03-11 06:58:27,114 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 135/144 [2025-03-11 06:58:27,145 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 136/144 [2025-03-11 06:58:27,172 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 137/144 [2025-03-11 06:58:27,198 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 138/144 [2025-03-11 06:58:27,225 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 139/144 [2025-03-11 06:58:27,251 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 140/144 [2025-03-11 06:58:27,277 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 141/144 [2025-03-11 06:58:27,315 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 142/144 [2025-03-11 06:58:27,343 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 143/144 [2025-03-11 06:58:27,492 INFO test.py line 291 2389709] Test: scene0086_01 [30/78]-124210 Batch 4.235 (4.455) Accuracy 0.7924 (0.3204) mIoU 0.4021 (0.2627) [2025-03-11 06:58:28,981 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 0/138 [2025-03-11 06:58:29,069 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 1/138 [2025-03-11 06:58:29,132 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 2/138 [2025-03-11 06:58:29,187 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 3/138 [2025-03-11 06:58:29,242 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 4/138 [2025-03-11 06:58:29,305 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 5/138 [2025-03-11 06:58:29,360 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 6/138 [2025-03-11 06:58:29,419 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 7/138 [2025-03-11 06:58:29,474 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 8/138 [2025-03-11 06:58:29,529 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 9/138 [2025-03-11 06:58:29,584 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 10/138 [2025-03-11 06:58:29,638 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 11/138 [2025-03-11 06:58:29,694 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 12/138 [2025-03-11 06:58:29,749 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 13/138 [2025-03-11 06:58:29,805 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 14/138 [2025-03-11 06:58:29,862 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 15/138 [2025-03-11 06:58:29,925 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 16/138 [2025-03-11 06:58:29,985 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 17/138 [2025-03-11 06:58:30,045 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 18/138 [2025-03-11 06:58:30,106 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 19/138 [2025-03-11 06:58:30,162 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 20/138 [2025-03-11 06:58:30,218 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 21/138 [2025-03-11 06:58:30,274 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 22/138 [2025-03-11 06:58:30,332 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 23/138 [2025-03-11 06:58:30,388 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 24/138 [2025-03-11 06:58:30,443 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 25/138 [2025-03-11 06:58:30,497 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 26/138 [2025-03-11 06:58:30,552 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 27/138 [2025-03-11 06:58:30,607 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 28/138 [2025-03-11 06:58:30,661 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 29/138 [2025-03-11 06:58:30,715 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 30/138 [2025-03-11 06:58:30,769 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 31/138 [2025-03-11 06:58:30,827 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 32/138 [2025-03-11 06:58:30,882 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 33/138 [2025-03-11 06:58:30,937 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 34/138 [2025-03-11 06:58:30,991 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 35/138 [2025-03-11 06:58:31,045 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 36/138 [2025-03-11 06:58:31,100 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 37/138 [2025-03-11 06:58:31,156 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 38/138 [2025-03-11 06:58:31,212 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 39/138 [2025-03-11 06:58:31,262 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 40/138 [2025-03-11 06:58:31,312 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 41/138 [2025-03-11 06:58:31,362 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 42/138 [2025-03-11 06:58:31,416 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 43/138 [2025-03-11 06:58:31,466 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 44/138 [2025-03-11 06:58:31,518 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 45/138 [2025-03-11 06:58:31,570 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 46/138 [2025-03-11 06:58:31,622 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 47/138 [2025-03-11 06:58:31,673 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 48/138 [2025-03-11 06:58:31,724 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 49/138 [2025-03-11 06:58:31,775 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 50/138 [2025-03-11 06:58:31,828 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 51/138 [2025-03-11 06:58:31,879 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 52/138 [2025-03-11 06:58:31,931 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 53/138 [2025-03-11 06:58:31,981 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 54/138 [2025-03-11 06:58:32,032 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 55/138 [2025-03-11 06:58:32,084 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 56/138 [2025-03-11 06:58:32,135 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 57/138 [2025-03-11 06:58:32,187 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 58/138 [2025-03-11 06:58:32,238 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 59/138 [2025-03-11 06:58:32,293 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 60/138 [2025-03-11 06:58:32,344 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 61/138 [2025-03-11 06:58:32,395 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 62/138 [2025-03-11 06:58:32,446 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 63/138 [2025-03-11 06:58:32,498 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 64/138 [2025-03-11 06:58:32,548 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 65/138 [2025-03-11 06:58:32,600 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 66/138 [2025-03-11 06:58:32,651 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 67/138 [2025-03-11 06:58:32,702 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 68/138 [2025-03-11 06:58:32,753 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 69/138 [2025-03-11 06:58:32,805 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 70/138 [2025-03-11 06:58:32,855 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 71/138 [2025-03-11 06:58:32,907 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 72/138 [2025-03-11 06:58:32,969 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 73/138 [2025-03-11 06:58:33,020 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 74/138 [2025-03-11 06:58:33,073 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 75/138 [2025-03-11 06:58:33,131 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 76/138 [2025-03-11 06:58:33,182 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 77/138 [2025-03-11 06:58:33,233 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 78/138 [2025-03-11 06:58:33,284 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 79/138 [2025-03-11 06:58:33,336 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 80/138 [2025-03-11 06:58:33,387 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 81/138 [2025-03-11 06:58:33,438 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 82/138 [2025-03-11 06:58:33,490 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 83/138 [2025-03-11 06:58:33,541 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 84/138 [2025-03-11 06:58:33,592 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 85/138 [2025-03-11 06:58:33,644 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 86/138 [2025-03-11 06:58:33,695 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 87/138 [2025-03-11 06:58:33,753 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 88/138 [2025-03-11 06:58:33,824 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 89/138 [2025-03-11 06:58:33,887 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 90/138 [2025-03-11 06:58:33,944 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 91/138 [2025-03-11 06:58:34,002 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 92/138 [2025-03-11 06:58:34,061 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 93/138 [2025-03-11 06:58:34,120 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 94/138 [2025-03-11 06:58:34,179 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 95/138 [2025-03-11 06:58:34,237 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 96/138 [2025-03-11 06:58:34,295 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 97/138 [2025-03-11 06:58:34,354 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 98/138 [2025-03-11 06:58:34,411 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 99/138 [2025-03-11 06:58:34,469 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 100/138 [2025-03-11 06:58:34,528 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 101/138 [2025-03-11 06:58:34,586 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 102/138 [2025-03-11 06:58:34,643 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 103/138 [2025-03-11 06:58:34,701 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 104/138 [2025-03-11 06:58:34,759 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 105/138 [2025-03-11 06:58:34,816 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 106/138 [2025-03-11 06:58:34,881 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 107/138 [2025-03-11 06:58:34,936 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 108/138 [2025-03-11 06:58:34,992 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 109/138 [2025-03-11 06:58:35,047 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 110/138 [2025-03-11 06:58:35,103 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 111/138 [2025-03-11 06:58:35,158 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 112/138 [2025-03-11 06:58:35,219 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 113/138 [2025-03-11 06:58:35,275 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 114/138 [2025-03-11 06:58:35,330 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 115/138 [2025-03-11 06:58:35,386 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 116/138 [2025-03-11 06:58:35,441 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 117/138 [2025-03-11 06:58:35,497 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 118/138 [2025-03-11 06:58:35,553 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 119/138 [2025-03-11 06:58:35,629 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 120/138 [2025-03-11 06:58:35,684 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 121/138 [2025-03-11 06:58:35,739 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 122/138 [2025-03-11 06:58:35,794 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 123/138 [2025-03-11 06:58:35,850 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 124/138 [2025-03-11 06:58:35,906 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 125/138 [2025-03-11 06:58:35,961 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 126/138 [2025-03-11 06:58:36,017 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 127/138 [2025-03-11 06:58:36,069 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 128/138 [2025-03-11 06:58:36,123 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 129/138 [2025-03-11 06:58:36,176 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 130/138 [2025-03-11 06:58:36,229 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 131/138 [2025-03-11 06:58:36,282 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 132/138 [2025-03-11 06:58:36,335 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 133/138 [2025-03-11 06:58:36,389 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 134/138 [2025-03-11 06:58:36,442 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 135/138 [2025-03-11 06:58:36,496 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 136/138 [2025-03-11 06:58:36,552 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 137/138 [2025-03-11 06:58:36,894 INFO test.py line 291 2389709] Test: scene0500_00 [31/78]-396942 Batch 8.054 (4.571) Accuracy 0.9322 (0.3247) mIoU 0.3878 (0.2643) [2025-03-11 06:58:36,993 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 0/121 [2025-03-11 06:58:37,030 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 1/121 [2025-03-11 06:58:37,071 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 2/121 [2025-03-11 06:58:37,101 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 3/121 [2025-03-11 06:58:37,131 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 4/121 [2025-03-11 06:58:37,168 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 5/121 [2025-03-11 06:58:37,203 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 6/121 [2025-03-11 06:58:37,232 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 7/121 [2025-03-11 06:58:37,263 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 8/121 [2025-03-11 06:58:37,294 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 9/121 [2025-03-11 06:58:37,324 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 10/121 [2025-03-11 06:58:37,353 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 11/121 [2025-03-11 06:58:37,383 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 12/121 [2025-03-11 06:58:37,413 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 13/121 [2025-03-11 06:58:37,443 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 14/121 [2025-03-11 06:58:37,473 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 15/121 [2025-03-11 06:58:37,505 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 16/121 [2025-03-11 06:58:37,535 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 17/121 [2025-03-11 06:58:37,565 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 18/121 [2025-03-11 06:58:37,595 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 19/121 [2025-03-11 06:58:37,628 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 20/121 [2025-03-11 06:58:37,660 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 21/121 [2025-03-11 06:58:37,690 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 22/121 [2025-03-11 06:58:37,728 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 23/121 [2025-03-11 06:58:37,760 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 24/121 [2025-03-11 06:58:37,791 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 25/121 [2025-03-11 06:58:37,821 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 26/121 [2025-03-11 06:58:37,851 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 27/121 [2025-03-11 06:58:37,881 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 28/121 [2025-03-11 06:58:37,911 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 29/121 [2025-03-11 06:58:37,945 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 30/121 [2025-03-11 06:58:37,981 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 31/121 [2025-03-11 06:58:38,024 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 32/121 [2025-03-11 06:58:38,060 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 33/121 [2025-03-11 06:58:38,090 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 34/121 [2025-03-11 06:58:38,121 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 35/121 [2025-03-11 06:58:38,153 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 36/121 [2025-03-11 06:58:38,189 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 37/121 [2025-03-11 06:58:38,219 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 38/121 [2025-03-11 06:58:38,252 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 39/121 [2025-03-11 06:58:38,297 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 40/121 [2025-03-11 06:58:38,334 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 41/121 [2025-03-11 06:58:38,363 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 42/121 [2025-03-11 06:58:38,392 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 43/121 [2025-03-11 06:58:38,424 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 44/121 [2025-03-11 06:58:38,459 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 45/121 [2025-03-11 06:58:38,501 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 46/121 [2025-03-11 06:58:38,530 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 47/121 [2025-03-11 06:58:38,559 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 48/121 [2025-03-11 06:58:38,587 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 49/121 [2025-03-11 06:58:38,617 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 50/121 [2025-03-11 06:58:38,647 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 51/121 [2025-03-11 06:58:38,697 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 52/121 [2025-03-11 06:58:38,726 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 53/121 [2025-03-11 06:58:38,755 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 54/121 [2025-03-11 06:58:38,785 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 55/121 [2025-03-11 06:58:38,813 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 56/121 [2025-03-11 06:58:38,842 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 57/121 [2025-03-11 06:58:38,875 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 58/121 [2025-03-11 06:58:38,903 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 59/121 [2025-03-11 06:58:38,932 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 60/121 [2025-03-11 06:58:38,962 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 61/121 [2025-03-11 06:58:38,991 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 62/121 [2025-03-11 06:58:39,020 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 63/121 [2025-03-11 06:58:39,050 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 64/121 [2025-03-11 06:58:39,080 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 65/121 [2025-03-11 06:58:39,109 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 66/121 [2025-03-11 06:58:39,138 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 67/121 [2025-03-11 06:58:39,167 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 68/121 [2025-03-11 06:58:39,196 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 69/121 [2025-03-11 06:58:39,235 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 70/121 [2025-03-11 06:58:39,263 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 71/121 [2025-03-11 06:58:39,293 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 72/121 [2025-03-11 06:58:39,322 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 73/121 [2025-03-11 06:58:39,354 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 74/121 [2025-03-11 06:58:39,386 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 75/121 [2025-03-11 06:58:39,422 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 76/121 [2025-03-11 06:58:39,462 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 77/121 [2025-03-11 06:58:39,501 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 78/121 [2025-03-11 06:58:39,539 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 79/121 [2025-03-11 06:58:39,578 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 80/121 [2025-03-11 06:58:39,615 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 81/121 [2025-03-11 06:58:39,653 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 82/121 [2025-03-11 06:58:39,692 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 83/121 [2025-03-11 06:58:39,734 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 84/121 [2025-03-11 06:58:39,769 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 85/121 [2025-03-11 06:58:39,809 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 86/121 [2025-03-11 06:58:39,846 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 87/121 [2025-03-11 06:58:39,886 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 88/121 [2025-03-11 06:58:39,929 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 89/121 [2025-03-11 06:58:39,963 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 90/121 [2025-03-11 06:58:39,999 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 91/121 [2025-03-11 06:58:40,034 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 92/121 [2025-03-11 06:58:40,069 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 93/121 [2025-03-11 06:58:40,106 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 94/121 [2025-03-11 06:58:40,143 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 95/121 [2025-03-11 06:58:40,178 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 96/121 [2025-03-11 06:58:40,214 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 97/121 [2025-03-11 06:58:40,251 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 98/121 [2025-03-11 06:58:40,286 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 99/121 [2025-03-11 06:58:40,322 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 100/121 [2025-03-11 06:58:40,357 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 101/121 [2025-03-11 06:58:40,397 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 102/121 [2025-03-11 06:58:40,436 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 103/121 [2025-03-11 06:58:40,483 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 104/121 [2025-03-11 06:58:40,529 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 105/121 [2025-03-11 06:58:40,563 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 106/121 [2025-03-11 06:58:40,608 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 107/121 [2025-03-11 06:58:40,652 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 108/121 [2025-03-11 06:58:40,696 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 109/121 [2025-03-11 06:58:40,743 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 110/121 [2025-03-11 06:58:40,776 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 111/121 [2025-03-11 06:58:40,811 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 112/121 [2025-03-11 06:58:40,851 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 113/121 [2025-03-11 06:58:40,884 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 114/121 [2025-03-11 06:58:40,917 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 115/121 [2025-03-11 06:58:40,950 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 116/121 [2025-03-11 06:58:40,984 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 117/121 [2025-03-11 06:58:41,025 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 118/121 [2025-03-11 06:58:41,058 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 119/121 [2025-03-11 06:58:41,091 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 120/121 [2025-03-11 06:58:41,313 INFO test.py line 291 2389709] Test: scene0064_01 [32/78]-195252 Batch 4.418 (4.567) Accuracy 0.7715 (0.3233) mIoU 0.2848 (0.2641) [2025-03-11 06:58:41,350 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 0/117 [2025-03-11 06:58:41,373 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 1/117 [2025-03-11 06:58:41,399 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 2/117 [2025-03-11 06:58:41,421 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 3/117 [2025-03-11 06:58:41,444 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 4/117 [2025-03-11 06:58:41,471 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 5/117 [2025-03-11 06:58:41,495 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 6/117 [2025-03-11 06:58:41,517 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 7/117 [2025-03-11 06:58:41,541 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 8/117 [2025-03-11 06:58:41,565 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 9/117 [2025-03-11 06:58:41,588 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 10/117 [2025-03-11 06:58:41,612 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 11/117 [2025-03-11 06:58:41,635 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 12/117 [2025-03-11 06:58:41,666 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 13/117 [2025-03-11 06:58:41,690 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 14/117 [2025-03-11 06:58:41,715 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 15/117 [2025-03-11 06:58:41,738 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 16/117 [2025-03-11 06:58:41,763 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 17/117 [2025-03-11 06:58:41,786 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 18/117 [2025-03-11 06:58:41,809 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 19/117 [2025-03-11 06:58:41,833 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 20/117 [2025-03-11 06:58:41,856 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 21/117 [2025-03-11 06:58:41,879 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 22/117 [2025-03-11 06:58:41,903 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 23/117 [2025-03-11 06:58:41,927 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 24/117 [2025-03-11 06:58:41,951 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 25/117 [2025-03-11 06:58:41,976 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 26/117 [2025-03-11 06:58:41,999 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 27/117 [2025-03-11 06:58:42,021 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 28/117 [2025-03-11 06:58:42,043 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 29/117 [2025-03-11 06:58:42,067 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 30/117 [2025-03-11 06:58:42,090 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 31/117 [2025-03-11 06:58:42,112 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 32/117 [2025-03-11 06:58:42,143 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 33/117 [2025-03-11 06:58:42,165 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 34/117 [2025-03-11 06:58:42,195 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 35/117 [2025-03-11 06:58:42,234 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 36/117 [2025-03-11 06:58:42,268 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 37/117 [2025-03-11 06:58:42,297 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 38/117 [2025-03-11 06:58:42,323 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 39/117 [2025-03-11 06:58:42,350 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 40/117 [2025-03-11 06:58:42,377 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 41/117 [2025-03-11 06:58:42,409 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 42/117 [2025-03-11 06:58:42,438 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 43/117 [2025-03-11 06:58:42,467 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 44/117 [2025-03-11 06:58:42,492 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 45/117 [2025-03-11 06:58:42,518 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 46/117 [2025-03-11 06:58:42,546 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 47/117 [2025-03-11 06:58:42,575 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 48/117 [2025-03-11 06:58:42,604 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 49/117 [2025-03-11 06:58:42,635 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 50/117 [2025-03-11 06:58:42,664 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 51/117 [2025-03-11 06:58:42,693 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 52/117 [2025-03-11 06:58:42,728 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 53/117 [2025-03-11 06:58:42,760 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 54/117 [2025-03-11 06:58:42,784 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 55/117 [2025-03-11 06:58:42,806 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 56/117 [2025-03-11 06:58:42,829 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 57/117 [2025-03-11 06:58:42,852 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 58/117 [2025-03-11 06:58:42,876 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 59/117 [2025-03-11 06:58:42,899 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 60/117 [2025-03-11 06:58:42,926 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 61/117 [2025-03-11 06:58:42,951 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 62/117 [2025-03-11 06:58:42,975 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 63/117 [2025-03-11 06:58:42,999 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 64/117 [2025-03-11 06:58:43,022 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 65/117 [2025-03-11 06:58:43,046 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 66/117 [2025-03-11 06:58:43,069 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 67/117 [2025-03-11 06:58:43,092 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 68/117 [2025-03-11 06:58:43,116 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 69/117 [2025-03-11 06:58:43,140 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 70/117 [2025-03-11 06:58:43,164 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 71/117 [2025-03-11 06:58:43,188 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 72/117 [2025-03-11 06:58:43,211 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 73/117 [2025-03-11 06:58:43,235 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 74/117 [2025-03-11 06:58:43,259 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 75/117 [2025-03-11 06:58:43,283 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 76/117 [2025-03-11 06:58:43,308 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 77/117 [2025-03-11 06:58:43,333 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 78/117 [2025-03-11 06:58:43,362 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 79/117 [2025-03-11 06:58:43,385 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 80/117 [2025-03-11 06:58:43,409 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 81/117 [2025-03-11 06:58:43,435 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 82/117 [2025-03-11 06:58:43,459 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 83/117 [2025-03-11 06:58:43,483 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 84/117 [2025-03-11 06:58:43,507 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 85/117 [2025-03-11 06:58:43,531 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 86/117 [2025-03-11 06:58:43,554 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 87/117 [2025-03-11 06:58:43,597 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 88/117 [2025-03-11 06:58:43,620 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 89/117 [2025-03-11 06:58:43,643 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 90/117 [2025-03-11 06:58:43,666 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 91/117 [2025-03-11 06:58:43,688 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 92/117 [2025-03-11 06:58:43,714 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 93/117 [2025-03-11 06:58:43,740 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 94/117 [2025-03-11 06:58:43,764 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 95/117 [2025-03-11 06:58:43,791 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 96/117 [2025-03-11 06:58:43,815 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 97/117 [2025-03-11 06:58:43,836 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 98/117 [2025-03-11 06:58:43,866 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 99/117 [2025-03-11 06:58:43,891 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 100/117 [2025-03-11 06:58:43,914 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 101/117 [2025-03-11 06:58:43,940 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 102/117 [2025-03-11 06:58:43,964 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 103/117 [2025-03-11 06:58:43,986 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 104/117 [2025-03-11 06:58:44,012 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 105/117 [2025-03-11 06:58:44,035 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 106/117 [2025-03-11 06:58:44,058 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 107/117 [2025-03-11 06:58:44,082 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 108/117 [2025-03-11 06:58:44,105 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 109/117 [2025-03-11 06:58:44,135 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 110/117 [2025-03-11 06:58:44,158 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 111/117 [2025-03-11 06:58:44,182 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 112/117 [2025-03-11 06:58:44,205 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 113/117 [2025-03-11 06:58:44,230 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 114/117 [2025-03-11 06:58:44,253 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 115/117 [2025-03-11 06:58:44,276 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 116/117 [2025-03-11 06:58:44,341 INFO test.py line 291 2389709] Test: scene0553_01 [33/78]-61388 Batch 3.028 (4.520) Accuracy 0.9086 (0.3268) mIoU 0.3823 (0.2663) [2025-03-11 06:58:44,436 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 0/138 [2025-03-11 06:58:44,469 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 1/138 [2025-03-11 06:58:44,501 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 2/138 [2025-03-11 06:58:44,530 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 3/138 [2025-03-11 06:58:44,561 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 4/138 [2025-03-11 06:58:44,593 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 5/138 [2025-03-11 06:58:44,624 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 6/138 [2025-03-11 06:58:44,657 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 7/138 [2025-03-11 06:58:44,689 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 8/138 [2025-03-11 06:58:44,722 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 9/138 [2025-03-11 06:58:44,752 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 10/138 [2025-03-11 06:58:44,784 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 11/138 [2025-03-11 06:58:44,820 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 12/138 [2025-03-11 06:58:44,855 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 13/138 [2025-03-11 06:58:44,887 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 14/138 [2025-03-11 06:58:44,919 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 15/138 [2025-03-11 06:58:44,949 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 16/138 [2025-03-11 06:58:44,979 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 17/138 [2025-03-11 06:58:45,010 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 18/138 [2025-03-11 06:58:45,041 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 19/138 [2025-03-11 06:58:45,072 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 20/138 [2025-03-11 06:58:45,103 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 21/138 [2025-03-11 06:58:45,135 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 22/138 [2025-03-11 06:58:45,166 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 23/138 [2025-03-11 06:58:45,199 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 24/138 [2025-03-11 06:58:45,229 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 25/138 [2025-03-11 06:58:45,260 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 26/138 [2025-03-11 06:58:45,292 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 27/138 [2025-03-11 06:58:45,324 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 28/138 [2025-03-11 06:58:45,355 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 29/138 [2025-03-11 06:58:45,390 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 30/138 [2025-03-11 06:58:45,423 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 31/138 [2025-03-11 06:58:45,453 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 32/138 [2025-03-11 06:58:45,484 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 33/138 [2025-03-11 06:58:45,518 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 34/138 [2025-03-11 06:58:45,550 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 35/138 [2025-03-11 06:58:45,581 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 36/138 [2025-03-11 06:58:45,611 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 37/138 [2025-03-11 06:58:45,642 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 38/138 [2025-03-11 06:58:45,674 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 39/138 [2025-03-11 06:58:45,706 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 40/138 [2025-03-11 06:58:45,736 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 41/138 [2025-03-11 06:58:45,767 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 42/138 [2025-03-11 06:58:45,799 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 43/138 [2025-03-11 06:58:45,829 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 44/138 [2025-03-11 06:58:45,862 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 45/138 [2025-03-11 06:58:45,893 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 46/138 [2025-03-11 06:58:45,927 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 47/138 [2025-03-11 06:58:45,957 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 48/138 [2025-03-11 06:58:45,987 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 49/138 [2025-03-11 06:58:46,017 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 50/138 [2025-03-11 06:58:46,047 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 51/138 [2025-03-11 06:58:46,076 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 52/138 [2025-03-11 06:58:46,106 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 53/138 [2025-03-11 06:58:46,135 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 54/138 [2025-03-11 06:58:46,165 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 55/138 [2025-03-11 06:58:46,198 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 56/138 [2025-03-11 06:58:46,228 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 57/138 [2025-03-11 06:58:46,258 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 58/138 [2025-03-11 06:58:46,289 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 59/138 [2025-03-11 06:58:46,319 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 60/138 [2025-03-11 06:58:46,349 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 61/138 [2025-03-11 06:58:46,378 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 62/138 [2025-03-11 06:58:46,408 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 63/138 [2025-03-11 06:58:46,437 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 64/138 [2025-03-11 06:58:46,466 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 65/138 [2025-03-11 06:58:46,496 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 66/138 [2025-03-11 06:58:46,526 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 67/138 [2025-03-11 06:58:46,555 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 68/138 [2025-03-11 06:58:46,587 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 69/138 [2025-03-11 06:58:46,617 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 70/138 [2025-03-11 06:58:46,647 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 71/138 [2025-03-11 06:58:46,678 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 72/138 [2025-03-11 06:58:46,707 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 73/138 [2025-03-11 06:58:46,736 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 74/138 [2025-03-11 06:58:46,765 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 75/138 [2025-03-11 06:58:46,794 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 76/138 [2025-03-11 06:58:46,824 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 77/138 [2025-03-11 06:58:46,853 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 78/138 [2025-03-11 06:58:46,882 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 79/138 [2025-03-11 06:58:46,911 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 80/138 [2025-03-11 06:58:46,940 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 81/138 [2025-03-11 06:58:46,973 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 82/138 [2025-03-11 06:58:47,002 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 83/138 [2025-03-11 06:58:47,031 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 84/138 [2025-03-11 06:58:47,063 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 85/138 [2025-03-11 06:58:47,098 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 86/138 [2025-03-11 06:58:47,126 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 87/138 [2025-03-11 06:58:47,160 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 88/138 [2025-03-11 06:58:47,190 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 89/138 [2025-03-11 06:58:47,221 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 90/138 [2025-03-11 06:58:47,259 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 91/138 [2025-03-11 06:58:47,295 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 92/138 [2025-03-11 06:58:47,333 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 93/138 [2025-03-11 06:58:47,370 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 94/138 [2025-03-11 06:58:47,407 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 95/138 [2025-03-11 06:58:47,461 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 96/138 [2025-03-11 06:58:47,509 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 97/138 [2025-03-11 06:58:47,557 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 98/138 [2025-03-11 06:58:47,591 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 99/138 [2025-03-11 06:58:47,626 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 100/138 [2025-03-11 06:58:47,660 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 101/138 [2025-03-11 06:58:47,695 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 102/138 [2025-03-11 06:58:47,740 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 103/138 [2025-03-11 06:58:47,772 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 104/138 [2025-03-11 06:58:47,803 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 105/138 [2025-03-11 06:58:47,836 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 106/138 [2025-03-11 06:58:47,869 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 107/138 [2025-03-11 06:58:47,906 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 108/138 [2025-03-11 06:58:47,947 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 109/138 [2025-03-11 06:58:47,998 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 110/138 [2025-03-11 06:58:48,029 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 111/138 [2025-03-11 06:58:48,059 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 112/138 [2025-03-11 06:58:48,092 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 113/138 [2025-03-11 06:58:48,128 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 114/138 [2025-03-11 06:58:48,158 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 115/138 [2025-03-11 06:58:48,195 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 116/138 [2025-03-11 06:58:48,227 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 117/138 [2025-03-11 06:58:48,267 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 118/138 [2025-03-11 06:58:48,312 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 119/138 [2025-03-11 06:58:48,343 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 120/138 [2025-03-11 06:58:48,374 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 121/138 [2025-03-11 06:58:48,406 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 122/138 [2025-03-11 06:58:48,436 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 123/138 [2025-03-11 06:58:48,467 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 124/138 [2025-03-11 06:58:48,498 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 125/138 [2025-03-11 06:58:48,534 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 126/138 [2025-03-11 06:58:48,565 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 127/138 [2025-03-11 06:58:48,595 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 128/138 [2025-03-11 06:58:48,629 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 129/138 [2025-03-11 06:58:48,660 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 130/138 [2025-03-11 06:58:48,690 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 131/138 [2025-03-11 06:58:48,721 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 132/138 [2025-03-11 06:58:48,754 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 133/138 [2025-03-11 06:58:48,784 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 134/138 [2025-03-11 06:58:48,815 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 135/138 [2025-03-11 06:58:48,845 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 136/138 [2025-03-11 06:58:48,874 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 137/138 [2025-03-11 06:58:49,051 INFO test.py line 291 2389709] Test: scene0462_00 [34/78]-156714 Batch 4.709 (4.526) Accuracy 0.8622 (0.3326) mIoU 0.4340 (0.2709) [2025-03-11 06:58:49,091 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 0/113 [2025-03-11 06:58:49,114 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 1/113 [2025-03-11 06:58:49,136 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 2/113 [2025-03-11 06:58:49,159 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 3/113 [2025-03-11 06:58:49,195 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 4/113 [2025-03-11 06:58:49,226 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 5/113 [2025-03-11 06:58:49,248 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 6/113 [2025-03-11 06:58:49,270 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 7/113 [2025-03-11 06:58:49,299 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 8/113 [2025-03-11 06:58:49,322 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 9/113 [2025-03-11 06:58:49,344 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 10/113 [2025-03-11 06:58:49,367 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 11/113 [2025-03-11 06:58:49,391 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 12/113 [2025-03-11 06:58:49,416 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 13/113 [2025-03-11 06:58:49,448 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 14/113 [2025-03-11 06:58:49,471 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 15/113 [2025-03-11 06:58:49,494 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 16/113 [2025-03-11 06:58:49,522 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 17/113 [2025-03-11 06:58:49,545 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 18/113 [2025-03-11 06:58:49,567 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 19/113 [2025-03-11 06:58:49,590 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 20/113 [2025-03-11 06:58:49,612 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 21/113 [2025-03-11 06:58:49,635 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 22/113 [2025-03-11 06:58:49,660 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 23/113 [2025-03-11 06:58:49,684 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 24/113 [2025-03-11 06:58:49,708 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 25/113 [2025-03-11 06:58:49,733 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 26/113 [2025-03-11 06:58:49,758 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 27/113 [2025-03-11 06:58:49,782 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 28/113 [2025-03-11 06:58:49,805 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 29/113 [2025-03-11 06:58:49,829 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 30/113 [2025-03-11 06:58:49,854 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 31/113 [2025-03-11 06:58:49,907 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 32/113 [2025-03-11 06:58:49,932 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 33/113 [2025-03-11 06:58:49,955 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 34/113 [2025-03-11 06:58:49,979 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 35/113 [2025-03-11 06:58:50,003 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 36/113 [2025-03-11 06:58:50,035 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 37/113 [2025-03-11 06:58:50,059 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 38/113 [2025-03-11 06:58:50,082 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 39/113 [2025-03-11 06:58:50,108 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 40/113 [2025-03-11 06:58:50,131 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 41/113 [2025-03-11 06:58:50,154 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 42/113 [2025-03-11 06:58:50,178 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 43/113 [2025-03-11 06:58:50,202 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 44/113 [2025-03-11 06:58:50,226 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 45/113 [2025-03-11 06:58:50,250 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 46/113 [2025-03-11 06:58:50,284 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 47/113 [2025-03-11 06:58:50,321 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 48/113 [2025-03-11 06:58:50,362 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 49/113 [2025-03-11 06:58:50,391 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 50/113 [2025-03-11 06:58:50,434 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 51/113 [2025-03-11 06:58:50,456 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 52/113 [2025-03-11 06:58:50,478 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 53/113 [2025-03-11 06:58:50,499 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 54/113 [2025-03-11 06:58:50,521 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 55/113 [2025-03-11 06:58:50,555 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 56/113 [2025-03-11 06:58:50,582 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 57/113 [2025-03-11 06:58:50,603 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 58/113 [2025-03-11 06:58:50,625 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 59/113 [2025-03-11 06:58:50,656 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 60/113 [2025-03-11 06:58:50,678 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 61/113 [2025-03-11 06:58:50,700 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 62/113 [2025-03-11 06:58:50,721 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 63/113 [2025-03-11 06:58:50,743 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 64/113 [2025-03-11 06:58:50,764 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 65/113 [2025-03-11 06:58:50,804 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 66/113 [2025-03-11 06:58:50,838 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 67/113 [2025-03-11 06:58:50,868 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 68/113 [2025-03-11 06:58:50,896 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 69/113 [2025-03-11 06:58:50,942 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 70/113 [2025-03-11 06:58:50,999 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 71/113 [2025-03-11 06:58:51,037 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 72/113 [2025-03-11 06:58:51,069 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 73/113 [2025-03-11 06:58:51,100 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 74/113 [2025-03-11 06:58:51,141 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 75/113 [2025-03-11 06:58:51,178 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 76/113 [2025-03-11 06:58:51,208 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 77/113 [2025-03-11 06:58:51,239 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 78/113 [2025-03-11 06:58:51,272 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 79/113 [2025-03-11 06:58:51,302 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 80/113 [2025-03-11 06:58:51,333 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 81/113 [2025-03-11 06:58:51,364 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 82/113 [2025-03-11 06:58:51,390 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 83/113 [2025-03-11 06:58:51,419 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 84/113 [2025-03-11 06:58:51,448 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 85/113 [2025-03-11 06:58:51,492 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 86/113 [2025-03-11 06:58:51,524 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 87/113 [2025-03-11 06:58:51,550 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 88/113 [2025-03-11 06:58:51,574 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 89/113 [2025-03-11 06:58:51,599 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 90/113 [2025-03-11 06:58:51,624 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 91/113 [2025-03-11 06:58:51,651 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 92/113 [2025-03-11 06:58:51,675 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 93/113 [2025-03-11 06:58:51,699 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 94/113 [2025-03-11 06:58:51,724 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 95/113 [2025-03-11 06:58:51,748 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 96/113 [2025-03-11 06:58:51,776 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 97/113 [2025-03-11 06:58:51,802 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 98/113 [2025-03-11 06:58:51,825 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 99/113 [2025-03-11 06:58:51,854 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 100/113 [2025-03-11 06:58:51,877 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 101/113 [2025-03-11 06:58:51,901 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 102/113 [2025-03-11 06:58:51,923 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 103/113 [2025-03-11 06:58:51,945 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 104/113 [2025-03-11 06:58:51,968 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 105/113 [2025-03-11 06:58:51,991 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 106/113 [2025-03-11 06:58:52,014 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 107/113 [2025-03-11 06:58:52,037 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 108/113 [2025-03-11 06:58:52,060 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 109/113 [2025-03-11 06:58:52,083 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 110/113 [2025-03-11 06:58:52,106 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 111/113 [2025-03-11 06:58:52,131 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 112/113 [2025-03-11 06:58:52,200 INFO test.py line 291 2389709] Test: scene0146_00 [35/78]-60438 Batch 3.148 (4.486) Accuracy 0.8483 (0.3322) mIoU 0.3285 (0.2705) [2025-03-11 06:58:52,273 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 0/134 [2025-03-11 06:58:52,314 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 1/134 [2025-03-11 06:58:52,345 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 2/134 [2025-03-11 06:58:52,401 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 3/134 [2025-03-11 06:58:52,433 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 4/134 [2025-03-11 06:58:52,464 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 5/134 [2025-03-11 06:58:52,494 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 6/134 [2025-03-11 06:58:52,531 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 7/134 [2025-03-11 06:58:52,571 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 8/134 [2025-03-11 06:58:52,603 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 9/134 [2025-03-11 06:58:52,642 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 10/134 [2025-03-11 06:58:52,673 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 11/134 [2025-03-11 06:58:52,705 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 12/134 [2025-03-11 06:58:52,738 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 13/134 [2025-03-11 06:58:52,770 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 14/134 [2025-03-11 06:58:52,802 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 15/134 [2025-03-11 06:58:52,853 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 16/134 [2025-03-11 06:58:52,885 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 17/134 [2025-03-11 06:58:52,915 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 18/134 [2025-03-11 06:58:52,946 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 19/134 [2025-03-11 06:58:52,984 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 20/134 [2025-03-11 06:58:53,027 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 21/134 [2025-03-11 06:58:53,062 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 22/134 [2025-03-11 06:58:53,108 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 23/134 [2025-03-11 06:58:53,156 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 24/134 [2025-03-11 06:58:53,188 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 25/134 [2025-03-11 06:58:53,221 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 26/134 [2025-03-11 06:58:53,278 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 27/134 [2025-03-11 06:58:53,311 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 28/134 [2025-03-11 06:58:53,343 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 29/134 [2025-03-11 06:58:53,375 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 30/134 [2025-03-11 06:58:53,407 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 31/134 [2025-03-11 06:58:53,442 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 32/134 [2025-03-11 06:58:53,503 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 33/134 [2025-03-11 06:58:53,536 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 34/134 [2025-03-11 06:58:53,568 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 35/134 [2025-03-11 06:58:53,607 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 36/134 [2025-03-11 06:58:53,649 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 37/134 [2025-03-11 06:58:53,701 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 38/134 [2025-03-11 06:58:53,735 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 39/134 [2025-03-11 06:58:53,767 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 40/134 [2025-03-11 06:58:53,800 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 41/134 [2025-03-11 06:58:53,838 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 42/134 [2025-03-11 06:58:53,870 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 43/134 [2025-03-11 06:58:53,902 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 44/134 [2025-03-11 06:58:53,965 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 45/134 [2025-03-11 06:58:54,025 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 46/134 [2025-03-11 06:58:54,055 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 47/134 [2025-03-11 06:58:54,096 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 48/134 [2025-03-11 06:58:54,137 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 49/134 [2025-03-11 06:58:54,173 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 50/134 [2025-03-11 06:58:54,209 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 51/134 [2025-03-11 06:58:54,244 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 52/134 [2025-03-11 06:58:54,279 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 53/134 [2025-03-11 06:58:54,314 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 54/134 [2025-03-11 06:58:54,349 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 55/134 [2025-03-11 06:58:54,385 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 56/134 [2025-03-11 06:58:54,431 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 57/134 [2025-03-11 06:58:54,478 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 58/134 [2025-03-11 06:58:54,522 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 59/134 [2025-03-11 06:58:54,553 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 60/134 [2025-03-11 06:58:54,591 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 61/134 [2025-03-11 06:58:54,624 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 62/134 [2025-03-11 06:58:54,666 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 63/134 [2025-03-11 06:58:54,700 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 64/134 [2025-03-11 06:58:54,746 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 65/134 [2025-03-11 06:58:54,776 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 66/134 [2025-03-11 06:58:54,817 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 67/134 [2025-03-11 06:58:54,848 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 68/134 [2025-03-11 06:58:54,884 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 69/134 [2025-03-11 06:58:54,915 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 70/134 [2025-03-11 06:58:54,945 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 71/134 [2025-03-11 06:58:54,977 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 72/134 [2025-03-11 06:58:55,007 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 73/134 [2025-03-11 06:58:55,037 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 74/134 [2025-03-11 06:58:55,068 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 75/134 [2025-03-11 06:58:55,100 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 76/134 [2025-03-11 06:58:55,131 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 77/134 [2025-03-11 06:58:55,178 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 78/134 [2025-03-11 06:58:55,213 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 79/134 [2025-03-11 06:58:55,246 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 80/134 [2025-03-11 06:58:55,278 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 81/134 [2025-03-11 06:58:55,310 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 82/134 [2025-03-11 06:58:55,341 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 83/134 [2025-03-11 06:58:55,375 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 84/134 [2025-03-11 06:58:55,406 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 85/134 [2025-03-11 06:58:55,438 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 86/134 [2025-03-11 06:58:55,474 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 87/134 [2025-03-11 06:58:55,508 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 88/134 [2025-03-11 06:58:55,542 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 89/134 [2025-03-11 06:58:55,584 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 90/134 [2025-03-11 06:58:55,617 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 91/134 [2025-03-11 06:58:55,668 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 92/134 [2025-03-11 06:58:55,702 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 93/134 [2025-03-11 06:58:55,734 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 94/134 [2025-03-11 06:58:55,766 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 95/134 [2025-03-11 06:58:55,807 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 96/134 [2025-03-11 06:58:55,841 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 97/134 [2025-03-11 06:58:55,874 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 98/134 [2025-03-11 06:58:55,906 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 99/134 [2025-03-11 06:58:55,939 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 100/134 [2025-03-11 06:58:55,971 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 101/134 [2025-03-11 06:58:56,004 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 102/134 [2025-03-11 06:58:56,042 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 103/134 [2025-03-11 06:58:56,074 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 104/134 [2025-03-11 06:58:56,132 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 105/134 [2025-03-11 06:58:56,163 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 106/134 [2025-03-11 06:58:56,196 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 107/134 [2025-03-11 06:58:56,230 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 108/134 [2025-03-11 06:58:56,264 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 109/134 [2025-03-11 06:58:56,296 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 110/134 [2025-03-11 06:58:56,329 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 111/134 [2025-03-11 06:58:56,362 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 112/134 [2025-03-11 06:58:56,398 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 113/134 [2025-03-11 06:58:56,431 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 114/134 [2025-03-11 06:58:56,466 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 115/134 [2025-03-11 06:58:56,508 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 116/134 [2025-03-11 06:58:56,544 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 117/134 [2025-03-11 06:58:56,576 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 118/134 [2025-03-11 06:58:56,609 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 119/134 [2025-03-11 06:58:56,642 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 120/134 [2025-03-11 06:58:56,683 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 121/134 [2025-03-11 06:58:56,739 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 122/134 [2025-03-11 06:58:56,771 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 123/134 [2025-03-11 06:58:56,809 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 124/134 [2025-03-11 06:58:56,844 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 125/134 [2025-03-11 06:58:56,882 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 126/134 [2025-03-11 06:58:56,916 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 127/134 [2025-03-11 06:58:56,974 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 128/134 [2025-03-11 06:58:57,012 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 129/134 [2025-03-11 06:58:57,072 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 130/134 [2025-03-11 06:58:57,102 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 131/134 [2025-03-11 06:58:57,132 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 132/134 [2025-03-11 06:58:57,168 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 133/134 [2025-03-11 06:58:57,376 INFO test.py line 291 2389709] Test: scene0131_01 [36/78]-172221 Batch 5.175 (4.505) Accuracy 0.7642 (0.3388) mIoU 0.1997 (0.2708) [2025-03-11 06:58:57,430 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 0/131 [2025-03-11 06:58:57,483 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 1/131 [2025-03-11 06:58:57,510 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 2/131 [2025-03-11 06:58:57,540 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 3/131 [2025-03-11 06:58:57,574 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 4/131 [2025-03-11 06:58:57,637 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 5/131 [2025-03-11 06:58:57,699 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 6/131 [2025-03-11 06:58:57,729 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 7/131 [2025-03-11 06:58:57,758 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 8/131 [2025-03-11 06:58:57,793 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 9/131 [2025-03-11 06:58:57,831 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 10/131 [2025-03-11 06:58:57,885 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 11/131 [2025-03-11 06:58:57,913 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 12/131 [2025-03-11 06:58:57,968 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 13/131 [2025-03-11 06:58:58,000 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 14/131 [2025-03-11 06:58:58,029 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 15/131 [2025-03-11 06:58:58,056 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 16/131 [2025-03-11 06:58:58,092 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 17/131 [2025-03-11 06:58:58,130 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 18/131 [2025-03-11 06:58:58,185 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 19/131 [2025-03-11 06:58:58,215 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 20/131 [2025-03-11 06:58:58,244 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 21/131 [2025-03-11 06:58:58,275 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 22/131 [2025-03-11 06:58:58,308 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 23/131 [2025-03-11 06:58:58,336 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 24/131 [2025-03-11 06:58:58,390 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 25/131 [2025-03-11 06:58:58,419 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 26/131 [2025-03-11 06:58:58,447 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 27/131 [2025-03-11 06:58:58,500 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 28/131 [2025-03-11 06:58:58,528 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 29/131 [2025-03-11 06:58:58,581 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 30/131 [2025-03-11 06:58:58,610 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 31/131 [2025-03-11 06:58:58,642 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 32/131 [2025-03-11 06:58:58,701 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 33/131 [2025-03-11 06:58:58,730 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 34/131 [2025-03-11 06:58:58,760 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 35/131 [2025-03-11 06:58:58,791 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 36/131 [2025-03-11 06:58:58,840 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 37/131 [2025-03-11 06:58:58,870 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 38/131 [2025-03-11 06:58:58,902 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 39/131 [2025-03-11 06:58:58,957 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 40/131 [2025-03-11 06:58:58,988 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 41/131 [2025-03-11 06:58:59,016 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 42/131 [2025-03-11 06:58:59,044 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 43/131 [2025-03-11 06:58:59,071 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 44/131 [2025-03-11 06:58:59,099 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 45/131 [2025-03-11 06:58:59,127 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 46/131 [2025-03-11 06:58:59,156 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 47/131 [2025-03-11 06:58:59,183 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 48/131 [2025-03-11 06:58:59,210 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 49/131 [2025-03-11 06:58:59,239 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 50/131 [2025-03-11 06:58:59,267 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 51/131 [2025-03-11 06:58:59,294 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 52/131 [2025-03-11 06:58:59,324 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 53/131 [2025-03-11 06:58:59,377 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 54/131 [2025-03-11 06:58:59,435 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 55/131 [2025-03-11 06:58:59,463 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 56/131 [2025-03-11 06:58:59,490 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 57/131 [2025-03-11 06:58:59,518 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 58/131 [2025-03-11 06:58:59,557 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 59/131 [2025-03-11 06:58:59,592 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 60/131 [2025-03-11 06:58:59,635 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 61/131 [2025-03-11 06:58:59,665 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 62/131 [2025-03-11 06:58:59,692 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 63/131 [2025-03-11 06:58:59,730 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 64/131 [2025-03-11 06:58:59,783 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 65/131 [2025-03-11 06:58:59,811 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 66/131 [2025-03-11 06:58:59,839 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 67/131 [2025-03-11 06:58:59,867 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 68/131 [2025-03-11 06:58:59,923 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 69/131 [2025-03-11 06:58:59,955 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 70/131 [2025-03-11 06:58:59,985 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 71/131 [2025-03-11 06:59:00,014 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 72/131 [2025-03-11 06:59:00,041 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 73/131 [2025-03-11 06:59:00,068 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 74/131 [2025-03-11 06:59:00,125 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 75/131 [2025-03-11 06:59:00,153 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 76/131 [2025-03-11 06:59:00,179 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 77/131 [2025-03-11 06:59:00,204 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 78/131 [2025-03-11 06:59:00,231 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 79/131 [2025-03-11 06:59:00,257 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 80/131 [2025-03-11 06:59:00,284 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 81/131 [2025-03-11 06:59:00,309 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 82/131 [2025-03-11 06:59:00,345 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 83/131 [2025-03-11 06:59:00,382 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 84/131 [2025-03-11 06:59:00,418 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 85/131 [2025-03-11 06:59:00,456 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 86/131 [2025-03-11 06:59:00,485 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 87/131 [2025-03-11 06:59:00,512 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 88/131 [2025-03-11 06:59:00,540 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 89/131 [2025-03-11 06:59:00,566 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 90/131 [2025-03-11 06:59:00,593 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 91/131 [2025-03-11 06:59:00,621 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 92/131 [2025-03-11 06:59:00,649 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 93/131 [2025-03-11 06:59:00,678 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 94/131 [2025-03-11 06:59:00,717 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 95/131 [2025-03-11 06:59:00,749 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 96/131 [2025-03-11 06:59:00,795 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 97/131 [2025-03-11 06:59:00,834 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 98/131 [2025-03-11 06:59:00,866 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 99/131 [2025-03-11 06:59:00,904 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 100/131 [2025-03-11 06:59:00,939 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 101/131 [2025-03-11 06:59:00,984 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 102/131 [2025-03-11 06:59:01,021 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 103/131 [2025-03-11 06:59:01,054 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 104/131 [2025-03-11 06:59:01,087 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 105/131 [2025-03-11 06:59:01,129 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 106/131 [2025-03-11 06:59:01,164 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 107/131 [2025-03-11 06:59:01,199 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 108/131 [2025-03-11 06:59:01,234 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 109/131 [2025-03-11 06:59:01,273 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 110/131 [2025-03-11 06:59:01,310 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 111/131 [2025-03-11 06:59:01,339 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 112/131 [2025-03-11 06:59:01,378 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 113/131 [2025-03-11 06:59:01,406 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 114/131 [2025-03-11 06:59:01,449 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 115/131 [2025-03-11 06:59:01,479 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 116/131 [2025-03-11 06:59:01,509 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 117/131 [2025-03-11 06:59:01,540 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 118/131 [2025-03-11 06:59:01,568 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 119/131 [2025-03-11 06:59:01,605 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 120/131 [2025-03-11 06:59:01,659 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 121/131 [2025-03-11 06:59:01,687 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 122/131 [2025-03-11 06:59:01,715 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 123/131 [2025-03-11 06:59:01,744 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 124/131 [2025-03-11 06:59:01,776 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 125/131 [2025-03-11 06:59:01,831 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 126/131 [2025-03-11 06:59:01,860 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 127/131 [2025-03-11 06:59:01,889 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 128/131 [2025-03-11 06:59:01,918 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 129/131 [2025-03-11 06:59:01,947 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 130/131 [2025-03-11 06:59:02,100 INFO test.py line 291 2389709] Test: scene0086_00 [37/78]-124572 Batch 4.724 (4.511) Accuracy 0.7370 (0.3373) mIoU 0.3121 (0.2697) [2025-03-11 06:59:02,178 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 0/113 [2025-03-11 06:59:02,209 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 1/113 [2025-03-11 06:59:02,246 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 2/113 [2025-03-11 06:59:02,277 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 3/113 [2025-03-11 06:59:02,316 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 4/113 [2025-03-11 06:59:02,348 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 5/113 [2025-03-11 06:59:02,385 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 6/113 [2025-03-11 06:59:02,438 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 7/113 [2025-03-11 06:59:02,469 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 8/113 [2025-03-11 06:59:02,500 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 9/113 [2025-03-11 06:59:02,531 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 10/113 [2025-03-11 06:59:02,562 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 11/113 [2025-03-11 06:59:02,617 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 12/113 [2025-03-11 06:59:02,657 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 13/113 [2025-03-11 06:59:02,713 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 14/113 [2025-03-11 06:59:02,745 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 15/113 [2025-03-11 06:59:02,776 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 16/113 [2025-03-11 06:59:02,807 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 17/113 [2025-03-11 06:59:02,838 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 18/113 [2025-03-11 06:59:02,894 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 19/113 [2025-03-11 06:59:02,954 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 20/113 [2025-03-11 06:59:03,012 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 21/113 [2025-03-11 06:59:03,043 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 22/113 [2025-03-11 06:59:03,073 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 23/113 [2025-03-11 06:59:03,102 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 24/113 [2025-03-11 06:59:03,156 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 25/113 [2025-03-11 06:59:03,186 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 26/113 [2025-03-11 06:59:03,215 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 27/113 [2025-03-11 06:59:03,245 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 28/113 [2025-03-11 06:59:03,284 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 29/113 [2025-03-11 06:59:03,339 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 30/113 [2025-03-11 06:59:03,370 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 31/113 [2025-03-11 06:59:03,400 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 32/113 [2025-03-11 06:59:03,429 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 33/113 [2025-03-11 06:59:03,484 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 34/113 [2025-03-11 06:59:03,540 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 35/113 [2025-03-11 06:59:03,568 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 36/113 [2025-03-11 06:59:03,600 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 37/113 [2025-03-11 06:59:03,640 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 38/113 [2025-03-11 06:59:03,696 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 39/113 [2025-03-11 06:59:03,725 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 40/113 [2025-03-11 06:59:03,754 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 41/113 [2025-03-11 06:59:03,809 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 42/113 [2025-03-11 06:59:03,838 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 43/113 [2025-03-11 06:59:03,868 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 44/113 [2025-03-11 06:59:03,927 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 45/113 [2025-03-11 06:59:03,955 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 46/113 [2025-03-11 06:59:03,989 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 47/113 [2025-03-11 06:59:04,021 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 48/113 [2025-03-11 06:59:04,060 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 49/113 [2025-03-11 06:59:04,089 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 50/113 [2025-03-11 06:59:04,146 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 51/113 [2025-03-11 06:59:04,205 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 52/113 [2025-03-11 06:59:04,236 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 53/113 [2025-03-11 06:59:04,266 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 54/113 [2025-03-11 06:59:04,295 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 55/113 [2025-03-11 06:59:04,325 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 56/113 [2025-03-11 06:59:04,354 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 57/113 [2025-03-11 06:59:04,383 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 58/113 [2025-03-11 06:59:04,415 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 59/113 [2025-03-11 06:59:04,445 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 60/113 [2025-03-11 06:59:04,473 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 61/113 [2025-03-11 06:59:04,515 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 62/113 [2025-03-11 06:59:04,546 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 63/113 [2025-03-11 06:59:04,576 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 64/113 [2025-03-11 06:59:04,628 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 65/113 [2025-03-11 06:59:04,673 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 66/113 [2025-03-11 06:59:04,728 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 67/113 [2025-03-11 06:59:04,759 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 68/113 [2025-03-11 06:59:04,789 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 69/113 [2025-03-11 06:59:04,819 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 70/113 [2025-03-11 06:59:04,850 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 71/113 [2025-03-11 06:59:04,889 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 72/113 [2025-03-11 06:59:04,927 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 73/113 [2025-03-11 06:59:04,957 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 74/113 [2025-03-11 06:59:04,996 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 75/113 [2025-03-11 06:59:05,039 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 76/113 [2025-03-11 06:59:05,071 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 77/113 [2025-03-11 06:59:05,104 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 78/113 [2025-03-11 06:59:05,144 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 79/113 [2025-03-11 06:59:05,177 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 80/113 [2025-03-11 06:59:05,236 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 81/113 [2025-03-11 06:59:05,268 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 82/113 [2025-03-11 06:59:05,299 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 83/113 [2025-03-11 06:59:05,336 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 84/113 [2025-03-11 06:59:05,399 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 85/113 [2025-03-11 06:59:05,432 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 86/113 [2025-03-11 06:59:05,464 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 87/113 [2025-03-11 06:59:05,496 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 88/113 [2025-03-11 06:59:05,527 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 89/113 [2025-03-11 06:59:05,594 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 90/113 [2025-03-11 06:59:05,624 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 91/113 [2025-03-11 06:59:05,656 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 92/113 [2025-03-11 06:59:05,694 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 93/113 [2025-03-11 06:59:05,725 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 94/113 [2025-03-11 06:59:05,758 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 95/113 [2025-03-11 06:59:05,791 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 96/113 [2025-03-11 06:59:05,850 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 97/113 [2025-03-11 06:59:05,883 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 98/113 [2025-03-11 06:59:05,943 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 99/113 [2025-03-11 06:59:05,989 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 100/113 [2025-03-11 06:59:06,025 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 101/113 [2025-03-11 06:59:06,065 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 102/113 [2025-03-11 06:59:06,095 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 103/113 [2025-03-11 06:59:06,125 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 104/113 [2025-03-11 06:59:06,179 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 105/113 [2025-03-11 06:59:06,209 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 106/113 [2025-03-11 06:59:06,241 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 107/113 [2025-03-11 06:59:06,272 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 108/113 [2025-03-11 06:59:06,302 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 109/113 [2025-03-11 06:59:06,332 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 110/113 [2025-03-11 06:59:06,369 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 111/113 [2025-03-11 06:59:06,398 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 112/113 [2025-03-11 06:59:06,567 INFO test.py line 291 2389709] Test: scene0196_00 [38/78]-146032 Batch 4.467 (4.510) Accuracy 0.8932 (0.3374) mIoU 0.5162 (0.2697) [2025-03-11 06:59:06,649 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 0/129 [2025-03-11 06:59:06,684 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 1/129 [2025-03-11 06:59:06,719 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 2/129 [2025-03-11 06:59:06,760 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 3/129 [2025-03-11 06:59:06,795 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 4/129 [2025-03-11 06:59:06,831 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 5/129 [2025-03-11 06:59:06,867 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 6/129 [2025-03-11 06:59:06,903 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 7/129 [2025-03-11 06:59:06,940 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 8/129 [2025-03-11 06:59:06,982 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 9/129 [2025-03-11 06:59:07,019 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 10/129 [2025-03-11 06:59:07,066 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 11/129 [2025-03-11 06:59:07,101 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 12/129 [2025-03-11 06:59:07,136 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 13/129 [2025-03-11 06:59:07,171 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 14/129 [2025-03-11 06:59:07,208 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 15/129 [2025-03-11 06:59:07,244 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 16/129 [2025-03-11 06:59:07,286 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 17/129 [2025-03-11 06:59:07,323 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 18/129 [2025-03-11 06:59:07,363 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 19/129 [2025-03-11 06:59:07,399 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 20/129 [2025-03-11 06:59:07,434 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 21/129 [2025-03-11 06:59:07,468 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 22/129 [2025-03-11 06:59:07,504 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 23/129 [2025-03-11 06:59:07,541 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 24/129 [2025-03-11 06:59:07,581 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 25/129 [2025-03-11 06:59:07,617 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 26/129 [2025-03-11 06:59:07,661 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 27/129 [2025-03-11 06:59:07,700 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 28/129 [2025-03-11 06:59:07,735 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 29/129 [2025-03-11 06:59:07,770 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 30/129 [2025-03-11 06:59:07,807 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 31/129 [2025-03-11 06:59:07,846 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 32/129 [2025-03-11 06:59:07,882 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 33/129 [2025-03-11 06:59:07,920 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 34/129 [2025-03-11 06:59:07,956 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 35/129 [2025-03-11 06:59:07,998 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 36/129 [2025-03-11 06:59:08,037 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 37/129 [2025-03-11 06:59:08,078 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 38/129 [2025-03-11 06:59:08,116 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 39/129 [2025-03-11 06:59:08,154 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 40/129 [2025-03-11 06:59:08,195 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 41/129 [2025-03-11 06:59:08,237 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 42/129 [2025-03-11 06:59:08,278 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 43/129 [2025-03-11 06:59:08,324 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 44/129 [2025-03-11 06:59:08,368 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 45/129 [2025-03-11 06:59:08,407 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 46/129 [2025-03-11 06:59:08,445 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 47/129 [2025-03-11 06:59:08,487 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 48/129 [2025-03-11 06:59:08,529 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 49/129 [2025-03-11 06:59:08,568 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 50/129 [2025-03-11 06:59:08,609 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 51/129 [2025-03-11 06:59:08,652 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 52/129 [2025-03-11 06:59:08,687 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 53/129 [2025-03-11 06:59:08,721 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 54/129 [2025-03-11 06:59:08,757 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 55/129 [2025-03-11 06:59:08,795 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 56/129 [2025-03-11 06:59:08,830 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 57/129 [2025-03-11 06:59:08,864 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 58/129 [2025-03-11 06:59:08,899 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 59/129 [2025-03-11 06:59:08,933 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 60/129 [2025-03-11 06:59:08,967 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 61/129 [2025-03-11 06:59:09,009 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 62/129 [2025-03-11 06:59:09,175 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 63/129 [2025-03-11 06:59:09,279 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 64/129 [2025-03-11 06:59:09,323 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 65/129 [2025-03-11 06:59:09,363 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 66/129 [2025-03-11 06:59:09,405 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 67/129 [2025-03-11 06:59:09,441 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 68/129 [2025-03-11 06:59:09,475 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 69/129 [2025-03-11 06:59:09,510 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 70/129 [2025-03-11 06:59:09,566 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 71/129 [2025-03-11 06:59:09,612 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 72/129 [2025-03-11 06:59:09,660 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 73/129 [2025-03-11 06:59:09,694 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 74/129 [2025-03-11 06:59:09,728 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 75/129 [2025-03-11 06:59:09,763 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 76/129 [2025-03-11 06:59:09,807 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 77/129 [2025-03-11 06:59:09,851 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 78/129 [2025-03-11 06:59:09,888 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 79/129 [2025-03-11 06:59:09,939 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 80/129 [2025-03-11 06:59:09,977 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 81/129 [2025-03-11 06:59:10,023 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 82/129 [2025-03-11 06:59:10,059 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 83/129 [2025-03-11 06:59:10,096 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 84/129 [2025-03-11 06:59:10,133 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 85/129 [2025-03-11 06:59:10,171 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 86/129 [2025-03-11 06:59:10,207 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 87/129 [2025-03-11 06:59:10,249 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 88/129 [2025-03-11 06:59:10,285 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 89/129 [2025-03-11 06:59:10,330 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 90/129 [2025-03-11 06:59:10,368 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 91/129 [2025-03-11 06:59:10,420 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 92/129 [2025-03-11 06:59:10,466 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 93/129 [2025-03-11 06:59:10,512 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 94/129 [2025-03-11 06:59:10,550 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 95/129 [2025-03-11 06:59:10,590 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 96/129 [2025-03-11 06:59:10,631 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 97/129 [2025-03-11 06:59:10,671 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 98/129 [2025-03-11 06:59:10,710 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 99/129 [2025-03-11 06:59:10,757 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 100/129 [2025-03-11 06:59:10,796 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 101/129 [2025-03-11 06:59:10,836 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 102/129 [2025-03-11 06:59:10,877 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 103/129 [2025-03-11 06:59:10,916 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 104/129 [2025-03-11 06:59:10,952 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 105/129 [2025-03-11 06:59:10,990 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 106/129 [2025-03-11 06:59:11,031 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 107/129 [2025-03-11 06:59:11,068 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 108/129 [2025-03-11 06:59:11,105 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 109/129 [2025-03-11 06:59:11,160 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 110/129 [2025-03-11 06:59:11,215 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 111/129 [2025-03-11 06:59:11,301 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 112/129 [2025-03-11 06:59:11,424 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 113/129 [2025-03-11 06:59:11,589 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 114/129 [2025-03-11 06:59:11,656 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 115/129 [2025-03-11 06:59:11,697 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 116/129 [2025-03-11 06:59:11,734 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 117/129 [2025-03-11 06:59:11,771 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 118/129 [2025-03-11 06:59:11,808 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 119/129 [2025-03-11 06:59:11,844 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 120/129 [2025-03-11 06:59:11,879 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 121/129 [2025-03-11 06:59:11,915 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 122/129 [2025-03-11 06:59:11,951 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 123/129 [2025-03-11 06:59:11,986 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 124/129 [2025-03-11 06:59:12,021 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 125/129 [2025-03-11 06:59:12,057 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 126/129 [2025-03-11 06:59:12,092 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 127/129 [2025-03-11 06:59:12,127 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 128/129 [2025-03-11 06:59:12,378 INFO test.py line 291 2389709] Test: scene0050_00 [39/78]-211406 Batch 5.810 (4.543) Accuracy 0.7335 (0.3395) mIoU 0.2945 (0.2719) [2025-03-11 06:59:12,502 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 0/138 [2025-03-11 06:59:12,547 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 1/138 [2025-03-11 06:59:12,591 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 2/138 [2025-03-11 06:59:12,636 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 3/138 [2025-03-11 06:59:12,681 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 4/138 [2025-03-11 06:59:12,726 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 5/138 [2025-03-11 06:59:12,770 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 6/138 [2025-03-11 06:59:12,815 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 7/138 [2025-03-11 06:59:12,859 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 8/138 [2025-03-11 06:59:12,903 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 9/138 [2025-03-11 06:59:12,947 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 10/138 [2025-03-11 06:59:12,991 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 11/138 [2025-03-11 06:59:13,036 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 12/138 [2025-03-11 06:59:13,081 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 13/138 [2025-03-11 06:59:13,125 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 14/138 [2025-03-11 06:59:13,169 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 15/138 [2025-03-11 06:59:13,214 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 16/138 [2025-03-11 06:59:13,259 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 17/138 [2025-03-11 06:59:13,303 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 18/138 [2025-03-11 06:59:13,346 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 19/138 [2025-03-11 06:59:13,389 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 20/138 [2025-03-11 06:59:13,434 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 21/138 [2025-03-11 06:59:13,478 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 22/138 [2025-03-11 06:59:13,522 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 23/138 [2025-03-11 06:59:13,566 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 24/138 [2025-03-11 06:59:13,610 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 25/138 [2025-03-11 06:59:13,653 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 26/138 [2025-03-11 06:59:13,699 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 27/138 [2025-03-11 06:59:13,749 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 28/138 [2025-03-11 06:59:13,802 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 29/138 [2025-03-11 06:59:14,008 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 30/138 [2025-03-11 06:59:14,066 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 31/138 [2025-03-11 06:59:14,122 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 32/138 [2025-03-11 06:59:14,179 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 33/138 [2025-03-11 06:59:14,229 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 34/138 [2025-03-11 06:59:14,280 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 35/138 [2025-03-11 06:59:14,332 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 36/138 [2025-03-11 06:59:14,382 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 37/138 [2025-03-11 06:59:14,430 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 38/138 [2025-03-11 06:59:14,475 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 39/138 [2025-03-11 06:59:14,519 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 40/138 [2025-03-11 06:59:14,582 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 41/138 [2025-03-11 06:59:14,627 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 42/138 [2025-03-11 06:59:14,684 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 43/138 [2025-03-11 06:59:14,754 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 44/138 [2025-03-11 06:59:14,798 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 45/138 [2025-03-11 06:59:14,842 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 46/138 [2025-03-11 06:59:14,888 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 47/138 [2025-03-11 06:59:14,932 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 48/138 [2025-03-11 06:59:14,974 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 49/138 [2025-03-11 06:59:15,024 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 50/138 [2025-03-11 06:59:15,068 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 51/138 [2025-03-11 06:59:15,118 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 52/138 [2025-03-11 06:59:15,161 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 53/138 [2025-03-11 06:59:15,213 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 54/138 [2025-03-11 06:59:15,259 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 55/138 [2025-03-11 06:59:15,315 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 56/138 [2025-03-11 06:59:15,357 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 57/138 [2025-03-11 06:59:15,426 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 58/138 [2025-03-11 06:59:15,467 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 59/138 [2025-03-11 06:59:15,509 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 60/138 [2025-03-11 06:59:15,552 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 61/138 [2025-03-11 06:59:15,594 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 62/138 [2025-03-11 06:59:15,652 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 63/138 [2025-03-11 06:59:15,695 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 64/138 [2025-03-11 06:59:15,737 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 65/138 [2025-03-11 06:59:15,786 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 66/138 [2025-03-11 06:59:15,847 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 67/138 [2025-03-11 06:59:15,890 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 68/138 [2025-03-11 06:59:15,933 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 69/138 [2025-03-11 06:59:15,983 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 70/138 [2025-03-11 06:59:16,051 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 71/138 [2025-03-11 06:59:16,093 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 72/138 [2025-03-11 06:59:16,137 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 73/138 [2025-03-11 06:59:16,180 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 74/138 [2025-03-11 06:59:16,222 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 75/138 [2025-03-11 06:59:16,263 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 76/138 [2025-03-11 06:59:16,308 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 77/138 [2025-03-11 06:59:16,356 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 78/138 [2025-03-11 06:59:16,396 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 79/138 [2025-03-11 06:59:16,438 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 80/138 [2025-03-11 06:59:16,479 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 81/138 [2025-03-11 06:59:16,521 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 82/138 [2025-03-11 06:59:16,564 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 83/138 [2025-03-11 06:59:16,610 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 84/138 [2025-03-11 06:59:16,655 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 85/138 [2025-03-11 06:59:16,700 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 86/138 [2025-03-11 06:59:16,746 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 87/138 [2025-03-11 06:59:16,791 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 88/138 [2025-03-11 06:59:16,836 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 89/138 [2025-03-11 06:59:16,883 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 90/138 [2025-03-11 06:59:16,930 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 91/138 [2025-03-11 06:59:16,977 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 92/138 [2025-03-11 06:59:17,023 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 93/138 [2025-03-11 06:59:17,070 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 94/138 [2025-03-11 06:59:17,143 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 95/138 [2025-03-11 06:59:17,190 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 96/138 [2025-03-11 06:59:17,239 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 97/138 [2025-03-11 06:59:17,287 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 98/138 [2025-03-11 06:59:17,335 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 99/138 [2025-03-11 06:59:17,383 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 100/138 [2025-03-11 06:59:17,431 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 101/138 [2025-03-11 06:59:17,479 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 102/138 [2025-03-11 06:59:17,527 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 103/138 [2025-03-11 06:59:17,574 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 104/138 [2025-03-11 06:59:17,627 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 105/138 [2025-03-11 06:59:17,674 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 106/138 [2025-03-11 06:59:17,733 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 107/138 [2025-03-11 06:59:17,780 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 108/138 [2025-03-11 06:59:17,825 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 109/138 [2025-03-11 06:59:17,882 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 110/138 [2025-03-11 06:59:17,943 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 111/138 [2025-03-11 06:59:17,989 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 112/138 [2025-03-11 06:59:18,058 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 113/138 [2025-03-11 06:59:18,105 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 114/138 [2025-03-11 06:59:18,152 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 115/138 [2025-03-11 06:59:18,201 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 116/138 [2025-03-11 06:59:18,249 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 117/138 [2025-03-11 06:59:18,296 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 118/138 [2025-03-11 06:59:18,342 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 119/138 [2025-03-11 06:59:18,389 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 120/138 [2025-03-11 06:59:18,436 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 121/138 [2025-03-11 06:59:18,483 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 122/138 [2025-03-11 06:59:18,542 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 123/138 [2025-03-11 06:59:18,592 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 124/138 [2025-03-11 06:59:18,638 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 125/138 [2025-03-11 06:59:18,686 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 126/138 [2025-03-11 06:59:18,733 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 127/138 [2025-03-11 06:59:18,777 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 128/138 [2025-03-11 06:59:18,822 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 129/138 [2025-03-11 06:59:18,867 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 130/138 [2025-03-11 06:59:18,910 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 131/138 [2025-03-11 06:59:18,954 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 132/138 [2025-03-11 06:59:19,002 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 133/138 [2025-03-11 06:59:19,046 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 134/138 [2025-03-11 06:59:19,089 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 135/138 [2025-03-11 06:59:19,133 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 136/138 [2025-03-11 06:59:19,178 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 137/138 [2025-03-11 06:59:19,600 INFO test.py line 291 2389709] Test: scene0616_00 [40/78]-310248 Batch 7.222 (4.610) Accuracy 0.8387 (0.3496) mIoU 0.5119 (0.2823) [2025-03-11 06:59:19,699 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 0/142 [2025-03-11 06:59:19,738 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 1/142 [2025-03-11 06:59:19,776 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 2/142 [2025-03-11 06:59:19,814 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 3/142 [2025-03-11 06:59:19,853 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 4/142 [2025-03-11 06:59:19,904 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 5/142 [2025-03-11 06:59:19,941 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 6/142 [2025-03-11 06:59:19,978 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 7/142 [2025-03-11 06:59:20,020 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 8/142 [2025-03-11 06:59:20,057 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 9/142 [2025-03-11 06:59:20,094 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 10/142 [2025-03-11 06:59:20,132 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 11/142 [2025-03-11 06:59:20,167 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 12/142 [2025-03-11 06:59:20,203 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 13/142 [2025-03-11 06:59:20,275 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 14/142 [2025-03-11 06:59:20,320 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 15/142 [2025-03-11 06:59:20,366 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 16/142 [2025-03-11 06:59:20,409 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 17/142 [2025-03-11 06:59:20,458 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 18/142 [2025-03-11 06:59:20,520 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 19/142 [2025-03-11 06:59:20,576 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 20/142 [2025-03-11 06:59:20,624 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 21/142 [2025-03-11 06:59:20,662 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 22/142 [2025-03-11 06:59:20,702 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 23/142 [2025-03-11 06:59:20,740 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 24/142 [2025-03-11 06:59:20,778 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 25/142 [2025-03-11 06:59:20,816 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 26/142 [2025-03-11 06:59:20,853 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 27/142 [2025-03-11 06:59:20,890 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 28/142 [2025-03-11 06:59:20,927 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 29/142 [2025-03-11 06:59:20,963 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 30/142 [2025-03-11 06:59:21,000 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 31/142 [2025-03-11 06:59:21,037 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 32/142 [2025-03-11 06:59:21,074 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 33/142 [2025-03-11 06:59:21,110 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 34/142 [2025-03-11 06:59:21,145 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 35/142 [2025-03-11 06:59:21,182 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 36/142 [2025-03-11 06:59:21,219 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 37/142 [2025-03-11 06:59:21,255 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 38/142 [2025-03-11 06:59:21,297 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 39/142 [2025-03-11 06:59:21,331 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 40/142 [2025-03-11 06:59:21,368 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 41/142 [2025-03-11 06:59:21,403 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 42/142 [2025-03-11 06:59:21,438 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 43/142 [2025-03-11 06:59:21,497 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 44/142 [2025-03-11 06:59:21,531 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 45/142 [2025-03-11 06:59:21,566 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 46/142 [2025-03-11 06:59:21,601 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 47/142 [2025-03-11 06:59:21,636 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 48/142 [2025-03-11 06:59:21,670 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 49/142 [2025-03-11 06:59:21,704 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 50/142 [2025-03-11 06:59:21,737 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 51/142 [2025-03-11 06:59:21,770 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 52/142 [2025-03-11 06:59:21,805 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 53/142 [2025-03-11 06:59:21,838 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 54/142 [2025-03-11 06:59:21,883 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 55/142 [2025-03-11 06:59:21,917 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 56/142 [2025-03-11 06:59:21,952 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 57/142 [2025-03-11 06:59:21,996 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 58/142 [2025-03-11 06:59:22,031 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 59/142 [2025-03-11 06:59:22,065 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 60/142 [2025-03-11 06:59:22,101 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 61/142 [2025-03-11 06:59:22,140 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 62/142 [2025-03-11 06:59:22,176 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 63/142 [2025-03-11 06:59:22,213 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 64/142 [2025-03-11 06:59:22,249 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 65/142 [2025-03-11 06:59:22,282 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 66/142 [2025-03-11 06:59:22,318 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 67/142 [2025-03-11 06:59:22,353 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 68/142 [2025-03-11 06:59:22,388 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 69/142 [2025-03-11 06:59:22,421 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 70/142 [2025-03-11 06:59:22,455 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 71/142 [2025-03-11 06:59:22,492 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 72/142 [2025-03-11 06:59:22,526 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 73/142 [2025-03-11 06:59:22,559 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 74/142 [2025-03-11 06:59:22,591 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 75/142 [2025-03-11 06:59:22,625 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 76/142 [2025-03-11 06:59:22,658 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 77/142 [2025-03-11 06:59:22,692 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 78/142 [2025-03-11 06:59:22,725 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 79/142 [2025-03-11 06:59:22,759 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 80/142 [2025-03-11 06:59:22,793 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 81/142 [2025-03-11 06:59:22,827 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 82/142 [2025-03-11 06:59:22,862 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 83/142 [2025-03-11 06:59:22,897 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 84/142 [2025-03-11 06:59:22,932 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 85/142 [2025-03-11 06:59:22,967 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 86/142 [2025-03-11 06:59:23,000 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 87/142 [2025-03-11 06:59:23,037 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 88/142 [2025-03-11 06:59:23,073 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 89/142 [2025-03-11 06:59:23,109 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 90/142 [2025-03-11 06:59:23,145 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 91/142 [2025-03-11 06:59:23,180 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 92/142 [2025-03-11 06:59:23,215 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 93/142 [2025-03-11 06:59:23,250 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 94/142 [2025-03-11 06:59:23,286 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 95/142 [2025-03-11 06:59:23,323 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 96/142 [2025-03-11 06:59:23,357 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 97/142 [2025-03-11 06:59:23,393 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 98/142 [2025-03-11 06:59:23,430 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 99/142 [2025-03-11 06:59:23,466 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 100/142 [2025-03-11 06:59:23,501 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 101/142 [2025-03-11 06:59:23,536 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 102/142 [2025-03-11 06:59:23,572 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 103/142 [2025-03-11 06:59:23,608 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 104/142 [2025-03-11 06:59:23,645 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 105/142 [2025-03-11 06:59:23,681 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 106/142 [2025-03-11 06:59:23,716 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 107/142 [2025-03-11 06:59:23,752 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 108/142 [2025-03-11 06:59:23,788 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 109/142 [2025-03-11 06:59:23,825 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 110/142 [2025-03-11 06:59:23,861 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 111/142 [2025-03-11 06:59:23,903 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 112/142 [2025-03-11 06:59:23,939 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 113/142 [2025-03-11 06:59:23,976 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 114/142 [2025-03-11 06:59:24,014 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 115/142 [2025-03-11 06:59:24,049 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 116/142 [2025-03-11 06:59:24,085 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 117/142 [2025-03-11 06:59:24,121 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 118/142 [2025-03-11 06:59:24,157 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 119/142 [2025-03-11 06:59:24,194 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 120/142 [2025-03-11 06:59:24,231 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 121/142 [2025-03-11 06:59:24,296 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 122/142 [2025-03-11 06:59:24,332 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 123/142 [2025-03-11 06:59:24,393 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 124/142 [2025-03-11 06:59:24,430 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 125/142 [2025-03-11 06:59:24,467 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 126/142 [2025-03-11 06:59:24,502 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 127/142 [2025-03-11 06:59:24,537 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 128/142 [2025-03-11 06:59:24,572 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 129/142 [2025-03-11 06:59:24,607 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 130/142 [2025-03-11 06:59:24,644 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 131/142 [2025-03-11 06:59:24,681 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 132/142 [2025-03-11 06:59:24,716 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 133/142 [2025-03-11 06:59:24,749 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 134/142 [2025-03-11 06:59:24,784 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 135/142 [2025-03-11 06:59:24,819 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 136/142 [2025-03-11 06:59:24,855 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 137/142 [2025-03-11 06:59:24,888 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 138/142 [2025-03-11 06:59:24,922 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 139/142 [2025-03-11 06:59:24,958 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 140/142 [2025-03-11 06:59:24,993 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 141/142 [2025-03-11 06:59:25,247 INFO test.py line 291 2389709] Test: scene0095_00 [41/78]-214895 Batch 5.647 (4.636) Accuracy 0.8767 (0.3471) mIoU 0.3834 (0.2808) [2025-03-11 06:59:25,298 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 0/139 [2025-03-11 06:59:25,331 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 1/139 [2025-03-11 06:59:25,357 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 2/139 [2025-03-11 06:59:25,382 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 3/139 [2025-03-11 06:59:25,407 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 4/139 [2025-03-11 06:59:25,433 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 5/139 [2025-03-11 06:59:25,458 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 6/139 [2025-03-11 06:59:25,484 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 7/139 [2025-03-11 06:59:25,510 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 8/139 [2025-03-11 06:59:25,536 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 9/139 [2025-03-11 06:59:25,561 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 10/139 [2025-03-11 06:59:25,590 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 11/139 [2025-03-11 06:59:25,614 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 12/139 [2025-03-11 06:59:25,638 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 13/139 [2025-03-11 06:59:25,663 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 14/139 [2025-03-11 06:59:25,688 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 15/139 [2025-03-11 06:59:25,713 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 16/139 [2025-03-11 06:59:25,738 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 17/139 [2025-03-11 06:59:25,764 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 18/139 [2025-03-11 06:59:25,791 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 19/139 [2025-03-11 06:59:25,814 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 20/139 [2025-03-11 06:59:25,838 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 21/139 [2025-03-11 06:59:25,863 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 22/139 [2025-03-11 06:59:25,887 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 23/139 [2025-03-11 06:59:25,912 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 24/139 [2025-03-11 06:59:25,937 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 25/139 [2025-03-11 06:59:25,962 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 26/139 [2025-03-11 06:59:25,987 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 27/139 [2025-03-11 06:59:26,013 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 28/139 [2025-03-11 06:59:26,039 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 29/139 [2025-03-11 06:59:26,063 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 30/139 [2025-03-11 06:59:26,088 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 31/139 [2025-03-11 06:59:26,112 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 32/139 [2025-03-11 06:59:26,137 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 33/139 [2025-03-11 06:59:26,161 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 34/139 [2025-03-11 06:59:26,185 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 35/139 [2025-03-11 06:59:26,210 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 36/139 [2025-03-11 06:59:26,235 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 37/139 [2025-03-11 06:59:26,261 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 38/139 [2025-03-11 06:59:26,287 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 39/139 [2025-03-11 06:59:26,312 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 40/139 [2025-03-11 06:59:26,336 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 41/139 [2025-03-11 06:59:26,362 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 42/139 [2025-03-11 06:59:26,387 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 43/139 [2025-03-11 06:59:26,412 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 44/139 [2025-03-11 06:59:26,437 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 45/139 [2025-03-11 06:59:26,475 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 46/139 [2025-03-11 06:59:26,498 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 47/139 [2025-03-11 06:59:26,522 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 48/139 [2025-03-11 06:59:26,548 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 49/139 [2025-03-11 06:59:26,574 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 50/139 [2025-03-11 06:59:26,600 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 51/139 [2025-03-11 06:59:26,626 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 52/139 [2025-03-11 06:59:26,649 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 53/139 [2025-03-11 06:59:26,674 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 54/139 [2025-03-11 06:59:26,698 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 55/139 [2025-03-11 06:59:26,721 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 56/139 [2025-03-11 06:59:26,744 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 57/139 [2025-03-11 06:59:26,769 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 58/139 [2025-03-11 06:59:26,793 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 59/139 [2025-03-11 06:59:26,818 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 60/139 [2025-03-11 06:59:26,842 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 61/139 [2025-03-11 06:59:26,866 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 62/139 [2025-03-11 06:59:26,890 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 63/139 [2025-03-11 06:59:26,915 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 64/139 [2025-03-11 06:59:26,939 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 65/139 [2025-03-11 06:59:26,963 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 66/139 [2025-03-11 06:59:26,988 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 67/139 [2025-03-11 06:59:27,012 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 68/139 [2025-03-11 06:59:27,038 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 69/139 [2025-03-11 06:59:27,063 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 70/139 [2025-03-11 06:59:27,088 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 71/139 [2025-03-11 06:59:27,114 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 72/139 [2025-03-11 06:59:27,139 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 73/139 [2025-03-11 06:59:27,163 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 74/139 [2025-03-11 06:59:27,187 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 75/139 [2025-03-11 06:59:27,212 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 76/139 [2025-03-11 06:59:27,236 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 77/139 [2025-03-11 06:59:27,261 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 78/139 [2025-03-11 06:59:27,284 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 79/139 [2025-03-11 06:59:27,316 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 80/139 [2025-03-11 06:59:27,342 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 81/139 [2025-03-11 06:59:27,367 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 82/139 [2025-03-11 06:59:27,396 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 83/139 [2025-03-11 06:59:27,422 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 84/139 [2025-03-11 06:59:27,447 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 85/139 [2025-03-11 06:59:27,472 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 86/139 [2025-03-11 06:59:27,496 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 87/139 [2025-03-11 06:59:27,520 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 88/139 [2025-03-11 06:59:27,545 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 89/139 [2025-03-11 06:59:27,569 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 90/139 [2025-03-11 06:59:27,596 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 91/139 [2025-03-11 06:59:27,621 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 92/139 [2025-03-11 06:59:27,646 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 93/139 [2025-03-11 06:59:27,669 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 94/139 [2025-03-11 06:59:27,695 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 95/139 [2025-03-11 06:59:27,719 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 96/139 [2025-03-11 06:59:27,745 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 97/139 [2025-03-11 06:59:27,770 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 98/139 [2025-03-11 06:59:27,795 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 99/139 [2025-03-11 06:59:27,825 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 100/139 [2025-03-11 06:59:27,870 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 101/139 [2025-03-11 06:59:27,920 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 102/139 [2025-03-11 06:59:27,947 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 103/139 [2025-03-11 06:59:27,972 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 104/139 [2025-03-11 06:59:27,996 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 105/139 [2025-03-11 06:59:28,023 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 106/139 [2025-03-11 06:59:28,049 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 107/139 [2025-03-11 06:59:28,075 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 108/139 [2025-03-11 06:59:28,102 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 109/139 [2025-03-11 06:59:28,127 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 110/139 [2025-03-11 06:59:28,152 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 111/139 [2025-03-11 06:59:28,196 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 112/139 [2025-03-11 06:59:28,243 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 113/139 [2025-03-11 06:59:28,281 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 114/139 [2025-03-11 06:59:28,310 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 115/139 [2025-03-11 06:59:28,334 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 116/139 [2025-03-11 06:59:28,358 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 117/139 [2025-03-11 06:59:28,383 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 118/139 [2025-03-11 06:59:28,411 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 119/139 [2025-03-11 06:59:28,436 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 120/139 [2025-03-11 06:59:28,471 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 121/139 [2025-03-11 06:59:28,508 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 122/139 [2025-03-11 06:59:28,533 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 123/139 [2025-03-11 06:59:28,559 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 124/139 [2025-03-11 06:59:28,584 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 125/139 [2025-03-11 06:59:28,608 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 126/139 [2025-03-11 06:59:28,633 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 127/139 [2025-03-11 06:59:28,658 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 128/139 [2025-03-11 06:59:28,683 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 129/139 [2025-03-11 06:59:28,708 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 130/139 [2025-03-11 06:59:28,737 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 131/139 [2025-03-11 06:59:28,762 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 132/139 [2025-03-11 06:59:28,788 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 133/139 [2025-03-11 06:59:28,812 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 134/139 [2025-03-11 06:59:28,836 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 135/139 [2025-03-11 06:59:28,861 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 136/139 [2025-03-11 06:59:28,886 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 137/139 [2025-03-11 06:59:28,911 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 138/139 [2025-03-11 06:59:28,996 INFO test.py line 291 2389709] Test: scene0701_01 [42/78]-77206 Batch 3.748 (4.614) Accuracy 0.9685 (0.3475) mIoU 0.6454 (0.2814) [2025-03-11 06:59:29,027 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 0/112 [2025-03-11 06:59:29,046 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 1/112 [2025-03-11 06:59:29,066 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 2/112 [2025-03-11 06:59:29,083 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 3/112 [2025-03-11 06:59:29,101 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 4/112 [2025-03-11 06:59:29,119 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 5/112 [2025-03-11 06:59:29,138 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 6/112 [2025-03-11 06:59:29,157 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 7/112 [2025-03-11 06:59:29,175 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 8/112 [2025-03-11 06:59:29,193 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 9/112 [2025-03-11 06:59:29,210 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 10/112 [2025-03-11 06:59:29,229 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 11/112 [2025-03-11 06:59:29,248 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 12/112 [2025-03-11 06:59:29,267 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 13/112 [2025-03-11 06:59:29,285 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 14/112 [2025-03-11 06:59:29,305 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 15/112 [2025-03-11 06:59:29,326 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 16/112 [2025-03-11 06:59:29,345 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 17/112 [2025-03-11 06:59:29,363 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 18/112 [2025-03-11 06:59:29,383 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 19/112 [2025-03-11 06:59:29,403 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 20/112 [2025-03-11 06:59:29,428 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 21/112 [2025-03-11 06:59:29,448 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 22/112 [2025-03-11 06:59:29,466 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 23/112 [2025-03-11 06:59:29,484 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 24/112 [2025-03-11 06:59:29,505 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 25/112 [2025-03-11 06:59:29,524 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 26/112 [2025-03-11 06:59:29,542 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 27/112 [2025-03-11 06:59:29,561 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 28/112 [2025-03-11 06:59:29,578 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 29/112 [2025-03-11 06:59:29,597 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 30/112 [2025-03-11 06:59:29,614 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 31/112 [2025-03-11 06:59:29,637 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 32/112 [2025-03-11 06:59:29,662 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 33/112 [2025-03-11 06:59:29,685 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 34/112 [2025-03-11 06:59:29,710 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 35/112 [2025-03-11 06:59:29,743 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 36/112 [2025-03-11 06:59:29,769 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 37/112 [2025-03-11 06:59:29,792 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 38/112 [2025-03-11 06:59:29,816 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 39/112 [2025-03-11 06:59:29,840 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 40/112 [2025-03-11 06:59:29,863 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 41/112 [2025-03-11 06:59:29,892 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 42/112 [2025-03-11 06:59:29,915 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 43/112 [2025-03-11 06:59:29,950 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 44/112 [2025-03-11 06:59:29,973 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 45/112 [2025-03-11 06:59:29,999 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 46/112 [2025-03-11 06:59:30,023 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 47/112 [2025-03-11 06:59:30,045 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 48/112 [2025-03-11 06:59:30,068 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 49/112 [2025-03-11 06:59:30,106 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 50/112 [2025-03-11 06:59:30,129 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 51/112 [2025-03-11 06:59:30,151 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 52/112 [2025-03-11 06:59:30,178 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 53/112 [2025-03-11 06:59:30,200 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 54/112 [2025-03-11 06:59:30,223 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 55/112 [2025-03-11 06:59:30,248 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 56/112 [2025-03-11 06:59:30,270 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 57/112 [2025-03-11 06:59:30,293 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 58/112 [2025-03-11 06:59:30,318 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 59/112 [2025-03-11 06:59:30,341 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 60/112 [2025-03-11 06:59:30,366 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 61/112 [2025-03-11 06:59:30,389 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 62/112 [2025-03-11 06:59:30,410 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 63/112 [2025-03-11 06:59:30,440 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 64/112 [2025-03-11 06:59:30,463 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 65/112 [2025-03-11 06:59:30,487 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 66/112 [2025-03-11 06:59:30,508 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 67/112 [2025-03-11 06:59:30,531 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 68/112 [2025-03-11 06:59:30,553 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 69/112 [2025-03-11 06:59:30,576 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 70/112 [2025-03-11 06:59:30,623 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 71/112 [2025-03-11 06:59:30,659 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 72/112 [2025-03-11 06:59:30,698 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 73/112 [2025-03-11 06:59:30,730 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 74/112 [2025-03-11 06:59:30,759 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 75/112 [2025-03-11 06:59:30,789 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 76/112 [2025-03-11 06:59:30,820 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 77/112 [2025-03-11 06:59:30,848 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 78/112 [2025-03-11 06:59:30,880 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 79/112 [2025-03-11 06:59:30,914 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 80/112 [2025-03-11 06:59:30,952 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 81/112 [2025-03-11 06:59:30,983 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 82/112 [2025-03-11 06:59:31,011 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 83/112 [2025-03-11 06:59:31,042 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 84/112 [2025-03-11 06:59:31,073 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 85/112 [2025-03-11 06:59:31,102 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 86/112 [2025-03-11 06:59:31,133 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 87/112 [2025-03-11 06:59:31,163 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 88/112 [2025-03-11 06:59:31,192 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 89/112 [2025-03-11 06:59:31,222 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 90/112 [2025-03-11 06:59:31,252 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 91/112 [2025-03-11 06:59:31,276 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 92/112 [2025-03-11 06:59:31,298 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 93/112 [2025-03-11 06:59:31,320 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 94/112 [2025-03-11 06:59:31,343 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 95/112 [2025-03-11 06:59:31,365 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 96/112 [2025-03-11 06:59:31,388 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 97/112 [2025-03-11 06:59:31,410 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 98/112 [2025-03-11 06:59:31,432 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 99/112 [2025-03-11 06:59:31,454 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 100/112 [2025-03-11 06:59:31,478 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 101/112 [2025-03-11 06:59:31,500 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 102/112 [2025-03-11 06:59:31,529 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 103/112 [2025-03-11 06:59:31,552 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 104/112 [2025-03-11 06:59:31,575 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 105/112 [2025-03-11 06:59:31,597 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 106/112 [2025-03-11 06:59:31,619 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 107/112 [2025-03-11 06:59:31,642 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 108/112 [2025-03-11 06:59:31,664 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 109/112 [2025-03-11 06:59:31,687 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 110/112 [2025-03-11 06:59:31,712 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 111/112 [2025-03-11 06:59:31,771 INFO test.py line 291 2389709] Test: scene0406_01 [43/78]-45557 Batch 2.774 (4.572) Accuracy 0.7123 (0.3480) mIoU 0.5637 (0.2818) [2025-03-11 06:59:32,276 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 0/118 [2025-03-11 06:59:32,330 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 1/118 [2025-03-11 06:59:32,388 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 2/118 [2025-03-11 06:59:32,452 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 3/118 [2025-03-11 06:59:32,513 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 4/118 [2025-03-11 06:59:32,579 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 5/118 [2025-03-11 06:59:32,635 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 6/118 [2025-03-11 06:59:32,686 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 7/118 [2025-03-11 06:59:32,737 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 8/118 [2025-03-11 06:59:32,787 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 9/118 [2025-03-11 06:59:32,838 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 10/118 [2025-03-11 06:59:32,893 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 11/118 [2025-03-11 06:59:32,949 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 12/118 [2025-03-11 06:59:33,005 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 13/118 [2025-03-11 06:59:33,062 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 14/118 [2025-03-11 06:59:33,133 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 15/118 [2025-03-11 06:59:33,190 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 16/118 [2025-03-11 06:59:33,246 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 17/118 [2025-03-11 06:59:33,301 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 18/118 [2025-03-11 06:59:33,356 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 19/118 [2025-03-11 06:59:33,408 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 20/118 [2025-03-11 06:59:33,460 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 21/118 [2025-03-11 06:59:33,512 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 22/118 [2025-03-11 06:59:33,564 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 23/118 [2025-03-11 06:59:33,616 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 24/118 [2025-03-11 06:59:33,667 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 25/118 [2025-03-11 06:59:33,717 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 26/118 [2025-03-11 06:59:33,769 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 27/118 [2025-03-11 06:59:33,820 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 28/118 [2025-03-11 06:59:33,872 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 29/118 [2025-03-11 06:59:33,935 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 30/118 [2025-03-11 06:59:33,985 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 31/118 [2025-03-11 06:59:34,039 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 32/118 [2025-03-11 06:59:34,091 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 33/118 [2025-03-11 06:59:34,141 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 34/118 [2025-03-11 06:59:34,197 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 35/118 [2025-03-11 06:59:34,247 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 36/118 [2025-03-11 06:59:34,307 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 37/118 [2025-03-11 06:59:34,362 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 38/118 [2025-03-11 06:59:34,419 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 39/118 [2025-03-11 06:59:34,468 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 40/118 [2025-03-11 06:59:34,516 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 41/118 [2025-03-11 06:59:34,565 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 42/118 [2025-03-11 06:59:34,614 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 43/118 [2025-03-11 06:59:34,671 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 44/118 [2025-03-11 06:59:34,727 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 45/118 [2025-03-11 06:59:34,805 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 46/118 [2025-03-11 06:59:34,853 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 47/118 [2025-03-11 06:59:34,901 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 48/118 [2025-03-11 06:59:34,949 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 49/118 [2025-03-11 06:59:35,010 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 50/118 [2025-03-11 06:59:35,058 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 51/118 [2025-03-11 06:59:35,114 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 52/118 [2025-03-11 06:59:35,163 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 53/118 [2025-03-11 06:59:35,211 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 54/118 [2025-03-11 06:59:35,280 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 55/118 [2025-03-11 06:59:35,331 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 56/118 [2025-03-11 06:59:35,379 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 57/118 [2025-03-11 06:59:35,427 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 58/118 [2025-03-11 06:59:35,475 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 59/118 [2025-03-11 06:59:35,524 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 60/118 [2025-03-11 06:59:35,572 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 61/118 [2025-03-11 06:59:35,620 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 62/118 [2025-03-11 06:59:35,669 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 63/118 [2025-03-11 06:59:35,717 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 64/118 [2025-03-11 06:59:35,779 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 65/118 [2025-03-11 06:59:35,828 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 66/118 [2025-03-11 06:59:35,876 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 67/118 [2025-03-11 06:59:35,924 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 68/118 [2025-03-11 06:59:35,982 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 69/118 [2025-03-11 06:59:36,029 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 70/118 [2025-03-11 06:59:36,077 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 71/118 [2025-03-11 06:59:36,126 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 72/118 [2025-03-11 06:59:36,175 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 73/118 [2025-03-11 06:59:36,224 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 74/118 [2025-03-11 06:59:36,272 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 75/118 [2025-03-11 06:59:36,328 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 76/118 [2025-03-11 06:59:36,382 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 77/118 [2025-03-11 06:59:36,461 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 78/118 [2025-03-11 06:59:36,516 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 79/118 [2025-03-11 06:59:36,571 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 80/118 [2025-03-11 06:59:36,626 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 81/118 [2025-03-11 06:59:36,680 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 82/118 [2025-03-11 06:59:36,735 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 83/118 [2025-03-11 06:59:36,790 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 84/118 [2025-03-11 06:59:36,845 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 85/118 [2025-03-11 06:59:36,912 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 86/118 [2025-03-11 06:59:36,966 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 87/118 [2025-03-11 06:59:37,020 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 88/118 [2025-03-11 06:59:37,076 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 89/118 [2025-03-11 06:59:37,130 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 90/118 [2025-03-11 06:59:37,186 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 91/118 [2025-03-11 06:59:37,258 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 92/118 [2025-03-11 06:59:37,312 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 93/118 [2025-03-11 06:59:37,367 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 94/118 [2025-03-11 06:59:37,422 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 95/118 [2025-03-11 06:59:37,482 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 96/118 [2025-03-11 06:59:37,536 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 97/118 [2025-03-11 06:59:37,598 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 98/118 [2025-03-11 06:59:37,654 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 99/118 [2025-03-11 06:59:37,708 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 100/118 [2025-03-11 06:59:37,763 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 101/118 [2025-03-11 06:59:37,820 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 102/118 [2025-03-11 06:59:37,872 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 103/118 [2025-03-11 06:59:37,924 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 104/118 [2025-03-11 06:59:37,975 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 105/118 [2025-03-11 06:59:38,027 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 106/118 [2025-03-11 06:59:38,080 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 107/118 [2025-03-11 06:59:38,130 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 108/118 [2025-03-11 06:59:38,179 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 109/118 [2025-03-11 06:59:38,247 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 110/118 [2025-03-11 06:59:38,295 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 111/118 [2025-03-11 06:59:38,343 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 112/118 [2025-03-11 06:59:38,391 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 113/118 [2025-03-11 06:59:38,440 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 114/118 [2025-03-11 06:59:38,489 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 115/118 [2025-03-11 06:59:38,538 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 116/118 [2025-03-11 06:59:38,590 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 117/118 [2025-03-11 06:59:38,894 INFO test.py line 291 2389709] Test: scene0329_01 [44/78]-368473 Batch 6.750 (4.621) Accuracy 0.9069 (0.3436) mIoU 0.3999 (0.2810) [2025-03-11 06:59:38,943 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 0/104 [2025-03-11 06:59:38,994 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 1/104 [2025-03-11 06:59:39,023 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 2/104 [2025-03-11 06:59:39,057 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 3/104 [2025-03-11 06:59:39,082 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 4/104 [2025-03-11 06:59:39,113 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 5/104 [2025-03-11 06:59:39,140 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 6/104 [2025-03-11 06:59:39,180 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 7/104 [2025-03-11 06:59:39,207 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 8/104 [2025-03-11 06:59:39,231 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 9/104 [2025-03-11 06:59:39,260 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 10/104 [2025-03-11 06:59:39,289 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 11/104 [2025-03-11 06:59:39,317 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 12/104 [2025-03-11 06:59:39,363 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 13/104 [2025-03-11 06:59:39,383 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 14/104 [2025-03-11 06:59:39,403 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 15/104 [2025-03-11 06:59:39,422 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 16/104 [2025-03-11 06:59:39,443 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 17/104 [2025-03-11 06:59:39,462 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 18/104 [2025-03-11 06:59:39,482 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 19/104 [2025-03-11 06:59:39,500 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 20/104 [2025-03-11 06:59:39,520 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 21/104 [2025-03-11 06:59:39,540 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 22/104 [2025-03-11 06:59:39,560 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 23/104 [2025-03-11 06:59:39,581 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 24/104 [2025-03-11 06:59:39,601 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 25/104 [2025-03-11 06:59:39,620 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 26/104 [2025-03-11 06:59:39,640 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 27/104 [2025-03-11 06:59:39,660 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 28/104 [2025-03-11 06:59:39,681 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 29/104 [2025-03-11 06:59:39,699 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 30/104 [2025-03-11 06:59:39,720 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 31/104 [2025-03-11 06:59:39,764 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 32/104 [2025-03-11 06:59:39,784 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 33/104 [2025-03-11 06:59:39,804 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 34/104 [2025-03-11 06:59:39,822 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 35/104 [2025-03-11 06:59:39,843 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 36/104 [2025-03-11 06:59:39,862 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 37/104 [2025-03-11 06:59:39,880 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 38/104 [2025-03-11 06:59:39,926 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 39/104 [2025-03-11 06:59:39,944 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 40/104 [2025-03-11 06:59:39,965 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 41/104 [2025-03-11 06:59:39,984 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 42/104 [2025-03-11 06:59:40,002 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 43/104 [2025-03-11 06:59:40,020 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 44/104 [2025-03-11 06:59:40,040 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 45/104 [2025-03-11 06:59:40,061 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 46/104 [2025-03-11 06:59:40,081 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 47/104 [2025-03-11 06:59:40,103 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 48/104 [2025-03-11 06:59:40,122 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 49/104 [2025-03-11 06:59:40,141 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 50/104 [2025-03-11 06:59:40,162 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 51/104 [2025-03-11 06:59:40,215 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 52/104 [2025-03-11 06:59:40,233 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 53/104 [2025-03-11 06:59:40,253 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 54/104 [2025-03-11 06:59:40,298 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 55/104 [2025-03-11 06:59:40,317 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 56/104 [2025-03-11 06:59:40,336 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 57/104 [2025-03-11 06:59:40,354 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 58/104 [2025-03-11 06:59:40,374 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 59/104 [2025-03-11 06:59:40,393 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 60/104 [2025-03-11 06:59:40,413 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 61/104 [2025-03-11 06:59:40,432 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 62/104 [2025-03-11 06:59:40,451 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 63/104 [2025-03-11 06:59:40,470 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 64/104 [2025-03-11 06:59:40,489 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 65/104 [2025-03-11 06:59:40,511 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 66/104 [2025-03-11 06:59:40,531 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 67/104 [2025-03-11 06:59:40,556 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 68/104 [2025-03-11 06:59:40,574 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 69/104 [2025-03-11 06:59:40,594 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 70/104 [2025-03-11 06:59:40,612 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 71/104 [2025-03-11 06:59:40,658 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 72/104 [2025-03-11 06:59:40,677 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 73/104 [2025-03-11 06:59:40,705 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 74/104 [2025-03-11 06:59:40,747 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 75/104 [2025-03-11 06:59:40,778 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 76/104 [2025-03-11 06:59:40,803 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 77/104 [2025-03-11 06:59:40,826 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 78/104 [2025-03-11 06:59:40,865 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 79/104 [2025-03-11 06:59:40,895 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 80/104 [2025-03-11 06:59:40,950 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 81/104 [2025-03-11 06:59:40,984 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 82/104 [2025-03-11 06:59:41,018 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 83/104 [2025-03-11 06:59:41,061 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 84/104 [2025-03-11 06:59:41,097 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 85/104 [2025-03-11 06:59:41,128 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 86/104 [2025-03-11 06:59:41,167 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 87/104 [2025-03-11 06:59:41,194 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 88/104 [2025-03-11 06:59:41,220 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 89/104 [2025-03-11 06:59:41,245 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 90/104 [2025-03-11 06:59:41,271 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 91/104 [2025-03-11 06:59:41,296 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 92/104 [2025-03-11 06:59:41,322 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 93/104 [2025-03-11 06:59:41,348 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 94/104 [2025-03-11 06:59:41,375 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 95/104 [2025-03-11 06:59:41,402 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 96/104 [2025-03-11 06:59:41,430 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 97/104 [2025-03-11 06:59:41,466 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 98/104 [2025-03-11 06:59:41,521 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 99/104 [2025-03-11 06:59:41,558 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 100/104 [2025-03-11 06:59:41,592 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 101/104 [2025-03-11 06:59:41,619 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 102/104 [2025-03-11 06:59:41,652 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 103/104 [2025-03-11 06:59:41,727 INFO test.py line 291 2389709] Test: scene0100_01 [45/78]-51211 Batch 2.832 (4.581) Accuracy 0.7537 (0.3553) mIoU 0.3882 (0.2883) [2025-03-11 06:59:41,767 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 0/127 [2025-03-11 06:59:41,794 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 1/127 [2025-03-11 06:59:41,824 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 2/127 [2025-03-11 06:59:41,850 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 3/127 [2025-03-11 06:59:41,878 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 4/127 [2025-03-11 06:59:41,905 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 5/127 [2025-03-11 06:59:41,933 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 6/127 [2025-03-11 06:59:41,969 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 7/127 [2025-03-11 06:59:42,022 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 8/127 [2025-03-11 06:59:42,077 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 9/127 [2025-03-11 06:59:42,106 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 10/127 [2025-03-11 06:59:42,136 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 11/127 [2025-03-11 06:59:42,163 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 12/127 [2025-03-11 06:59:42,218 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 13/127 [2025-03-11 06:59:42,278 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 14/127 [2025-03-11 06:59:42,332 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 15/127 [2025-03-11 06:59:42,359 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 16/127 [2025-03-11 06:59:42,414 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 17/127 [2025-03-11 06:59:42,465 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 18/127 [2025-03-11 06:59:42,493 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 19/127 [2025-03-11 06:59:42,520 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 20/127 [2025-03-11 06:59:42,572 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 21/127 [2025-03-11 06:59:42,624 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 22/127 [2025-03-11 06:59:42,679 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 23/127 [2025-03-11 06:59:42,706 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 24/127 [2025-03-11 06:59:42,744 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 25/127 [2025-03-11 06:59:42,771 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 26/127 [2025-03-11 06:59:42,808 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 27/127 [2025-03-11 06:59:42,864 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 28/127 [2025-03-11 06:59:42,923 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 29/127 [2025-03-11 06:59:42,978 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 30/127 [2025-03-11 06:59:43,003 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 31/127 [2025-03-11 06:59:43,053 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 32/127 [2025-03-11 06:59:43,079 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 33/127 [2025-03-11 06:59:43,105 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 34/127 [2025-03-11 06:59:43,165 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 35/127 [2025-03-11 06:59:43,194 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 36/127 [2025-03-11 06:59:43,225 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 37/127 [2025-03-11 06:59:43,254 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 38/127 [2025-03-11 06:59:43,305 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 39/127 [2025-03-11 06:59:43,333 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 40/127 [2025-03-11 06:59:43,395 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 41/127 [2025-03-11 06:59:43,431 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 42/127 [2025-03-11 06:59:43,461 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 43/127 [2025-03-11 06:59:43,501 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 44/127 [2025-03-11 06:59:43,529 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 45/127 [2025-03-11 06:59:43,566 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 46/127 [2025-03-11 06:59:43,617 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 47/127 [2025-03-11 06:59:43,651 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 48/127 [2025-03-11 06:59:43,678 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 49/127 [2025-03-11 06:59:43,713 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 50/127 [2025-03-11 06:59:43,755 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 51/127 [2025-03-11 06:59:43,806 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 52/127 [2025-03-11 06:59:43,835 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 53/127 [2025-03-11 06:59:43,863 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 54/127 [2025-03-11 06:59:43,908 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 55/127 [2025-03-11 06:59:43,934 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 56/127 [2025-03-11 06:59:43,981 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 57/127 [2025-03-11 06:59:44,008 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 58/127 [2025-03-11 06:59:44,045 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 59/127 [2025-03-11 06:59:44,075 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 60/127 [2025-03-11 06:59:44,112 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 61/127 [2025-03-11 06:59:44,163 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 62/127 [2025-03-11 06:59:44,189 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 63/127 [2025-03-11 06:59:44,215 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 64/127 [2025-03-11 06:59:44,261 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 65/127 [2025-03-11 06:59:44,288 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 66/127 [2025-03-11 06:59:44,333 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 67/127 [2025-03-11 06:59:44,360 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 68/127 [2025-03-11 06:59:44,402 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 69/127 [2025-03-11 06:59:44,427 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 70/127 [2025-03-11 06:59:44,453 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 71/127 [2025-03-11 06:59:44,501 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 72/127 [2025-03-11 06:59:44,550 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 73/127 [2025-03-11 06:59:44,575 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 74/127 [2025-03-11 06:59:44,621 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 75/127 [2025-03-11 06:59:44,658 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 76/127 [2025-03-11 06:59:44,694 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 77/127 [2025-03-11 06:59:44,728 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 78/127 [2025-03-11 06:59:44,762 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 79/127 [2025-03-11 06:59:44,797 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 80/127 [2025-03-11 06:59:44,833 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 81/127 [2025-03-11 06:59:44,875 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 82/127 [2025-03-11 06:59:44,905 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 83/127 [2025-03-11 06:59:44,959 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 84/127 [2025-03-11 06:59:45,000 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 85/127 [2025-03-11 06:59:45,035 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 86/127 [2025-03-11 06:59:45,077 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 87/127 [2025-03-11 06:59:45,140 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 88/127 [2025-03-11 06:59:45,170 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 89/127 [2025-03-11 06:59:45,195 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 90/127 [2025-03-11 06:59:45,220 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 91/127 [2025-03-11 06:59:45,245 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 92/127 [2025-03-11 06:59:45,271 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 93/127 [2025-03-11 06:59:45,295 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 94/127 [2025-03-11 06:59:45,321 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 95/127 [2025-03-11 06:59:45,358 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 96/127 [2025-03-11 06:59:45,383 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 97/127 [2025-03-11 06:59:45,410 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 98/127 [2025-03-11 06:59:45,469 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 99/127 [2025-03-11 06:59:45,525 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 100/127 [2025-03-11 06:59:45,575 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 101/127 [2025-03-11 06:59:45,616 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 102/127 [2025-03-11 06:59:45,656 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 103/127 [2025-03-11 06:59:45,680 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 104/127 [2025-03-11 06:59:45,734 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 105/127 [2025-03-11 06:59:45,758 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 106/127 [2025-03-11 06:59:45,804 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 107/127 [2025-03-11 06:59:45,829 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 108/127 [2025-03-11 06:59:45,855 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 109/127 [2025-03-11 06:59:45,881 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 110/127 [2025-03-11 06:59:45,906 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 111/127 [2025-03-11 06:59:45,932 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 112/127 [2025-03-11 06:59:45,957 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 113/127 [2025-03-11 06:59:45,981 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 114/127 [2025-03-11 06:59:46,006 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 115/127 [2025-03-11 06:59:46,030 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 116/127 [2025-03-11 06:59:46,056 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 117/127 [2025-03-11 06:59:46,080 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 118/127 [2025-03-11 06:59:46,104 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 119/127 [2025-03-11 06:59:46,129 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 120/127 [2025-03-11 06:59:46,152 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 121/127 [2025-03-11 06:59:46,176 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 122/127 [2025-03-11 06:59:46,199 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 123/127 [2025-03-11 06:59:46,234 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 124/127 [2025-03-11 06:59:46,277 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 125/127 [2025-03-11 06:59:46,302 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 126/127 [2025-03-11 06:59:46,356 INFO test.py line 291 2389709] Test: scene0664_02 [46/78]-46804 Batch 4.629 (4.582) Accuracy 0.8670 (0.3606) mIoU 0.5833 (0.2918) [2025-03-11 06:59:46,411 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 0/126 [2025-03-11 06:59:46,439 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 1/126 [2025-03-11 06:59:46,467 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 2/126 [2025-03-11 06:59:46,495 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 3/126 [2025-03-11 06:59:46,524 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 4/126 [2025-03-11 06:59:46,552 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 5/126 [2025-03-11 06:59:46,580 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 6/126 [2025-03-11 06:59:46,609 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 7/126 [2025-03-11 06:59:46,637 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 8/126 [2025-03-11 06:59:46,666 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 9/126 [2025-03-11 06:59:46,694 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 10/126 [2025-03-11 06:59:46,723 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 11/126 [2025-03-11 06:59:46,752 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 12/126 [2025-03-11 06:59:46,782 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 13/126 [2025-03-11 06:59:46,822 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 14/126 [2025-03-11 06:59:46,851 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 15/126 [2025-03-11 06:59:46,879 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 16/126 [2025-03-11 06:59:46,919 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 17/126 [2025-03-11 06:59:46,948 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 18/126 [2025-03-11 06:59:46,977 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 19/126 [2025-03-11 06:59:47,005 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 20/126 [2025-03-11 06:59:47,033 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 21/126 [2025-03-11 06:59:47,062 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 22/126 [2025-03-11 06:59:47,091 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 23/126 [2025-03-11 06:59:47,120 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 24/126 [2025-03-11 06:59:47,150 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 25/126 [2025-03-11 06:59:47,180 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 26/126 [2025-03-11 06:59:47,208 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 27/126 [2025-03-11 06:59:47,236 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 28/126 [2025-03-11 06:59:47,266 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 29/126 [2025-03-11 06:59:47,293 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 30/126 [2025-03-11 06:59:47,321 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 31/126 [2025-03-11 06:59:47,351 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 32/126 [2025-03-11 06:59:47,379 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 33/126 [2025-03-11 06:59:47,412 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 34/126 [2025-03-11 06:59:47,443 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 35/126 [2025-03-11 06:59:47,472 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 36/126 [2025-03-11 06:59:47,504 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 37/126 [2025-03-11 06:59:47,533 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 38/126 [2025-03-11 06:59:47,560 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 39/126 [2025-03-11 06:59:47,587 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 40/126 [2025-03-11 06:59:47,618 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 41/126 [2025-03-11 06:59:47,652 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 42/126 [2025-03-11 06:59:47,680 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 43/126 [2025-03-11 06:59:47,707 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 44/126 [2025-03-11 06:59:47,734 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 45/126 [2025-03-11 06:59:47,762 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 46/126 [2025-03-11 06:59:47,790 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 47/126 [2025-03-11 06:59:47,818 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 48/126 [2025-03-11 06:59:47,844 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 49/126 [2025-03-11 06:59:47,888 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 50/126 [2025-03-11 06:59:47,916 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 51/126 [2025-03-11 06:59:47,970 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 52/126 [2025-03-11 06:59:48,000 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 53/126 [2025-03-11 06:59:48,028 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 54/126 [2025-03-11 06:59:48,057 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 55/126 [2025-03-11 06:59:48,087 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 56/126 [2025-03-11 06:59:48,117 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 57/126 [2025-03-11 06:59:48,167 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 58/126 [2025-03-11 06:59:48,214 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 59/126 [2025-03-11 06:59:48,242 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 60/126 [2025-03-11 06:59:48,272 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 61/126 [2025-03-11 06:59:48,301 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 62/126 [2025-03-11 06:59:48,332 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 63/126 [2025-03-11 06:59:48,362 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 64/126 [2025-03-11 06:59:48,392 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 65/126 [2025-03-11 06:59:48,420 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 66/126 [2025-03-11 06:59:48,450 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 67/126 [2025-03-11 06:59:48,481 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 68/126 [2025-03-11 06:59:48,509 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 69/126 [2025-03-11 06:59:48,539 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 70/126 [2025-03-11 06:59:48,568 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 71/126 [2025-03-11 06:59:48,598 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 72/126 [2025-03-11 06:59:48,628 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 73/126 [2025-03-11 06:59:48,658 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 74/126 [2025-03-11 06:59:48,685 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 75/126 [2025-03-11 06:59:48,713 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 76/126 [2025-03-11 06:59:48,740 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 77/126 [2025-03-11 06:59:48,767 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 78/126 [2025-03-11 06:59:48,793 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 79/126 [2025-03-11 06:59:48,821 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 80/126 [2025-03-11 06:59:48,850 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 81/126 [2025-03-11 06:59:48,879 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 82/126 [2025-03-11 06:59:48,907 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 83/126 [2025-03-11 06:59:48,935 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 84/126 [2025-03-11 06:59:48,964 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 85/126 [2025-03-11 06:59:48,993 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 86/126 [2025-03-11 06:59:49,029 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 87/126 [2025-03-11 06:59:49,057 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 88/126 [2025-03-11 06:59:49,088 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 89/126 [2025-03-11 06:59:49,119 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 90/126 [2025-03-11 06:59:49,156 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 91/126 [2025-03-11 06:59:49,193 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 92/126 [2025-03-11 06:59:49,230 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 93/126 [2025-03-11 06:59:49,273 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 94/126 [2025-03-11 06:59:49,310 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 95/126 [2025-03-11 06:59:49,350 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 96/126 [2025-03-11 06:59:49,387 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 97/126 [2025-03-11 06:59:49,426 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 98/126 [2025-03-11 06:59:49,477 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 99/126 [2025-03-11 06:59:49,531 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 100/126 [2025-03-11 06:59:49,586 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 101/126 [2025-03-11 06:59:49,641 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 102/126 [2025-03-11 06:59:49,686 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 103/126 [2025-03-11 06:59:49,728 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 104/126 [2025-03-11 06:59:49,771 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 105/126 [2025-03-11 06:59:49,814 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 106/126 [2025-03-11 06:59:49,859 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 107/126 [2025-03-11 06:59:49,903 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 108/126 [2025-03-11 06:59:49,949 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 109/126 [2025-03-11 06:59:49,980 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 110/126 [2025-03-11 06:59:50,013 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 111/126 [2025-03-11 06:59:50,045 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 112/126 [2025-03-11 06:59:50,077 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 113/126 [2025-03-11 06:59:50,115 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 114/126 [2025-03-11 06:59:50,147 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 115/126 [2025-03-11 06:59:50,180 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 116/126 [2025-03-11 06:59:50,213 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 117/126 [2025-03-11 06:59:50,245 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 118/126 [2025-03-11 06:59:50,277 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 119/126 [2025-03-11 06:59:50,307 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 120/126 [2025-03-11 06:59:50,337 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 121/126 [2025-03-11 06:59:50,368 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 122/126 [2025-03-11 06:59:50,397 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 123/126 [2025-03-11 06:59:50,428 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 124/126 [2025-03-11 06:59:50,461 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 125/126 [2025-03-11 06:59:50,646 INFO test.py line 291 2389709] Test: scene0357_00 [47/78]-136945 Batch 4.290 (4.576) Accuracy 0.7493 (0.3641) mIoU 0.2912 (0.2943) [2025-03-11 06:59:50,754 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 0/125 [2025-03-11 06:59:50,790 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 1/125 [2025-03-11 06:59:50,829 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 2/125 [2025-03-11 06:59:50,869 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 3/125 [2025-03-11 06:59:50,907 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 4/125 [2025-03-11 06:59:50,944 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 5/125 [2025-03-11 06:59:50,989 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 6/125 [2025-03-11 06:59:51,025 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 7/125 [2025-03-11 06:59:51,061 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 8/125 [2025-03-11 06:59:51,098 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 9/125 [2025-03-11 06:59:51,133 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 10/125 [2025-03-11 06:59:51,169 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 11/125 [2025-03-11 06:59:51,207 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 12/125 [2025-03-11 06:59:51,247 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 13/125 [2025-03-11 06:59:51,283 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 14/125 [2025-03-11 06:59:51,320 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 15/125 [2025-03-11 06:59:51,355 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 16/125 [2025-03-11 06:59:51,390 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 17/125 [2025-03-11 06:59:51,424 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 18/125 [2025-03-11 06:59:51,458 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 19/125 [2025-03-11 06:59:51,491 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 20/125 [2025-03-11 06:59:51,526 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 21/125 [2025-03-11 06:59:51,560 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 22/125 [2025-03-11 06:59:51,614 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 23/125 [2025-03-11 06:59:51,648 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 24/125 [2025-03-11 06:59:51,683 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 25/125 [2025-03-11 06:59:51,735 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 26/125 [2025-03-11 06:59:51,771 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 27/125 [2025-03-11 06:59:51,806 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 28/125 [2025-03-11 06:59:51,865 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 29/125 [2025-03-11 06:59:51,900 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 30/125 [2025-03-11 06:59:51,934 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 31/125 [2025-03-11 06:59:51,972 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 32/125 [2025-03-11 06:59:52,009 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 33/125 [2025-03-11 06:59:52,046 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 34/125 [2025-03-11 06:59:52,077 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 35/125 [2025-03-11 06:59:52,108 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 36/125 [2025-03-11 06:59:52,137 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 37/125 [2025-03-11 06:59:52,200 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 38/125 [2025-03-11 06:59:52,263 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 39/125 [2025-03-11 06:59:52,310 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 40/125 [2025-03-11 06:59:52,357 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 41/125 [2025-03-11 06:59:52,402 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 42/125 [2025-03-11 06:59:52,448 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 43/125 [2025-03-11 06:59:52,491 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 44/125 [2025-03-11 06:59:52,546 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 45/125 [2025-03-11 06:59:52,591 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 46/125 [2025-03-11 06:59:52,638 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 47/125 [2025-03-11 06:59:52,681 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 48/125 [2025-03-11 06:59:52,723 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 49/125 [2025-03-11 06:59:52,770 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 50/125 [2025-03-11 06:59:52,825 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 51/125 [2025-03-11 06:59:52,877 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 52/125 [2025-03-11 06:59:52,926 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 53/125 [2025-03-11 06:59:52,979 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 54/125 [2025-03-11 06:59:53,032 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 55/125 [2025-03-11 06:59:53,082 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 56/125 [2025-03-11 06:59:53,133 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 57/125 [2025-03-11 06:59:53,183 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 58/125 [2025-03-11 06:59:53,236 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 59/125 [2025-03-11 06:59:53,287 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 60/125 [2025-03-11 06:59:53,343 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 61/125 [2025-03-11 06:59:53,383 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 62/125 [2025-03-11 06:59:53,420 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 63/125 [2025-03-11 06:59:53,462 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 64/125 [2025-03-11 06:59:53,508 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 65/125 [2025-03-11 06:59:53,548 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 66/125 [2025-03-11 06:59:53,594 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 67/125 [2025-03-11 06:59:53,642 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 68/125 [2025-03-11 06:59:53,684 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 69/125 [2025-03-11 06:59:53,726 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 70/125 [2025-03-11 06:59:53,762 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 71/125 [2025-03-11 06:59:53,798 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 72/125 [2025-03-11 06:59:53,832 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 73/125 [2025-03-11 06:59:53,877 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 74/125 [2025-03-11 06:59:53,917 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 75/125 [2025-03-11 06:59:53,950 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 76/125 [2025-03-11 06:59:53,984 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 77/125 [2025-03-11 06:59:54,018 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 78/125 [2025-03-11 06:59:54,052 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 79/125 [2025-03-11 06:59:54,092 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 80/125 [2025-03-11 06:59:54,134 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 81/125 [2025-03-11 06:59:54,198 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 82/125 [2025-03-11 06:59:54,234 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 83/125 [2025-03-11 06:59:54,273 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 84/125 [2025-03-11 06:59:54,309 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 85/125 [2025-03-11 06:59:54,345 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 86/125 [2025-03-11 06:59:54,386 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 87/125 [2025-03-11 06:59:54,423 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 88/125 [2025-03-11 06:59:54,460 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 89/125 [2025-03-11 06:59:54,495 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 90/125 [2025-03-11 06:59:54,531 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 91/125 [2025-03-11 06:59:54,568 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 92/125 [2025-03-11 06:59:54,605 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 93/125 [2025-03-11 06:59:54,639 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 94/125 [2025-03-11 06:59:54,674 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 95/125 [2025-03-11 06:59:54,740 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 96/125 [2025-03-11 06:59:54,777 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 97/125 [2025-03-11 06:59:54,812 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 98/125 [2025-03-11 06:59:54,847 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 99/125 [2025-03-11 06:59:54,889 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 100/125 [2025-03-11 06:59:54,928 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 101/125 [2025-03-11 06:59:54,968 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 102/125 [2025-03-11 06:59:55,009 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 103/125 [2025-03-11 06:59:55,051 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 104/125 [2025-03-11 06:59:55,085 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 105/125 [2025-03-11 06:59:55,118 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 106/125 [2025-03-11 06:59:55,153 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 107/125 [2025-03-11 06:59:55,186 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 108/125 [2025-03-11 06:59:55,220 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 109/125 [2025-03-11 06:59:55,262 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 110/125 [2025-03-11 06:59:55,304 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 111/125 [2025-03-11 06:59:55,345 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 112/125 [2025-03-11 06:59:55,379 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 113/125 [2025-03-11 06:59:55,414 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 114/125 [2025-03-11 06:59:55,449 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 115/125 [2025-03-11 06:59:55,482 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 116/125 [2025-03-11 06:59:55,515 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 117/125 [2025-03-11 06:59:55,547 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 118/125 [2025-03-11 06:59:55,579 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 119/125 [2025-03-11 06:59:55,615 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 120/125 [2025-03-11 06:59:55,647 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 121/125 [2025-03-11 06:59:55,680 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 122/125 [2025-03-11 06:59:55,741 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 123/125 [2025-03-11 06:59:55,775 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 124/125 [2025-03-11 06:59:56,002 INFO test.py line 291 2389709] Test: scene0474_00 [48/78]-182281 Batch 5.355 (4.592) Accuracy 0.8543 (0.3751) mIoU 0.3952 (0.3020) [2025-03-11 06:59:56,078 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 0/134 [2025-03-11 06:59:56,112 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 1/134 [2025-03-11 06:59:56,143 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 2/134 [2025-03-11 06:59:56,176 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 3/134 [2025-03-11 06:59:56,209 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 4/134 [2025-03-11 06:59:56,275 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 5/134 [2025-03-11 06:59:56,308 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 6/134 [2025-03-11 06:59:56,340 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 7/134 [2025-03-11 06:59:56,373 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 8/134 [2025-03-11 06:59:56,405 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 9/134 [2025-03-11 06:59:56,466 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 10/134 [2025-03-11 06:59:56,499 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 11/134 [2025-03-11 06:59:56,531 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 12/134 [2025-03-11 06:59:56,563 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 13/134 [2025-03-11 06:59:56,603 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 14/134 [2025-03-11 06:59:56,637 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 15/134 [2025-03-11 06:59:56,694 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 16/134 [2025-03-11 06:59:56,725 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 17/134 [2025-03-11 06:59:56,760 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 18/134 [2025-03-11 06:59:56,791 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 19/134 [2025-03-11 06:59:56,822 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 20/134 [2025-03-11 06:59:56,852 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 21/134 [2025-03-11 06:59:56,883 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 22/134 [2025-03-11 06:59:56,913 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 23/134 [2025-03-11 06:59:56,963 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 24/134 [2025-03-11 06:59:57,004 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 25/134 [2025-03-11 06:59:57,042 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 26/134 [2025-03-11 06:59:57,072 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 27/134 [2025-03-11 06:59:57,116 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 28/134 [2025-03-11 06:59:57,147 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 29/134 [2025-03-11 06:59:57,177 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 30/134 [2025-03-11 06:59:57,207 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 31/134 [2025-03-11 06:59:57,238 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 32/134 [2025-03-11 06:59:57,268 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 33/134 [2025-03-11 06:59:57,298 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 34/134 [2025-03-11 06:59:57,331 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 35/134 [2025-03-11 06:59:57,362 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 36/134 [2025-03-11 06:59:57,397 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 37/134 [2025-03-11 06:59:57,433 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 38/134 [2025-03-11 06:59:57,471 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 39/134 [2025-03-11 06:59:57,506 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 40/134 [2025-03-11 06:59:57,542 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 41/134 [2025-03-11 06:59:57,580 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 42/134 [2025-03-11 06:59:57,612 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 43/134 [2025-03-11 06:59:57,658 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 44/134 [2025-03-11 06:59:57,699 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 45/134 [2025-03-11 06:59:57,743 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 46/134 [2025-03-11 06:59:57,789 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 47/134 [2025-03-11 06:59:57,832 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 48/134 [2025-03-11 06:59:57,878 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 49/134 [2025-03-11 06:59:57,924 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 50/134 [2025-03-11 06:59:57,971 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 51/134 [2025-03-11 06:59:58,002 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 52/134 [2025-03-11 06:59:58,033 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 53/134 [2025-03-11 06:59:58,063 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 54/134 [2025-03-11 06:59:58,093 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 55/134 [2025-03-11 06:59:58,125 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 56/134 [2025-03-11 06:59:58,156 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 57/134 [2025-03-11 06:59:58,193 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 58/134 [2025-03-11 06:59:58,223 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 59/134 [2025-03-11 06:59:58,253 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 60/134 [2025-03-11 06:59:58,288 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 61/134 [2025-03-11 06:59:58,319 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 62/134 [2025-03-11 06:59:58,349 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 63/134 [2025-03-11 06:59:58,383 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 64/134 [2025-03-11 06:59:58,419 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 65/134 [2025-03-11 06:59:58,449 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 66/134 [2025-03-11 06:59:58,478 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 67/134 [2025-03-11 06:59:58,512 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 68/134 [2025-03-11 06:59:58,542 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 69/134 [2025-03-11 06:59:58,571 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 70/134 [2025-03-11 06:59:58,601 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 71/134 [2025-03-11 06:59:58,632 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 72/134 [2025-03-11 06:59:58,661 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 73/134 [2025-03-11 06:59:58,697 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 74/134 [2025-03-11 06:59:58,727 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 75/134 [2025-03-11 06:59:58,756 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 76/134 [2025-03-11 06:59:58,785 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 77/134 [2025-03-11 06:59:58,815 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 78/134 [2025-03-11 06:59:58,844 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 79/134 [2025-03-11 06:59:58,873 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 80/134 [2025-03-11 06:59:58,901 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 81/134 [2025-03-11 06:59:58,931 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 82/134 [2025-03-11 06:59:58,962 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 83/134 [2025-03-11 06:59:58,993 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 84/134 [2025-03-11 06:59:59,024 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 85/134 [2025-03-11 06:59:59,054 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 86/134 [2025-03-11 06:59:59,085 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 87/134 [2025-03-11 06:59:59,115 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 88/134 [2025-03-11 06:59:59,147 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 89/134 [2025-03-11 06:59:59,180 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 90/134 [2025-03-11 06:59:59,212 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 91/134 [2025-03-11 06:59:59,245 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 92/134 [2025-03-11 06:59:59,277 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 93/134 [2025-03-11 06:59:59,309 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 94/134 [2025-03-11 06:59:59,341 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 95/134 [2025-03-11 06:59:59,375 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 96/134 [2025-03-11 06:59:59,406 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 97/134 [2025-03-11 06:59:59,438 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 98/134 [2025-03-11 06:59:59,471 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 99/134 [2025-03-11 06:59:59,510 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 100/134 [2025-03-11 06:59:59,541 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 101/134 [2025-03-11 06:59:59,587 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 102/134 [2025-03-11 06:59:59,618 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 103/134 [2025-03-11 06:59:59,650 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 104/134 [2025-03-11 06:59:59,681 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 105/134 [2025-03-11 06:59:59,715 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 106/134 [2025-03-11 06:59:59,747 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 107/134 [2025-03-11 06:59:59,784 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 108/134 [2025-03-11 06:59:59,815 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 109/134 [2025-03-11 06:59:59,847 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 110/134 [2025-03-11 06:59:59,879 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 111/134 [2025-03-11 06:59:59,910 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 112/134 [2025-03-11 06:59:59,942 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 113/134 [2025-03-11 06:59:59,974 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 114/134 [2025-03-11 07:00:00,009 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 115/134 [2025-03-11 07:00:00,041 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 116/134 [2025-03-11 07:00:00,072 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 117/134 [2025-03-11 07:00:00,104 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 118/134 [2025-03-11 07:00:00,140 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 119/134 [2025-03-11 07:00:00,172 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 120/134 [2025-03-11 07:00:00,204 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 121/134 [2025-03-11 07:00:00,236 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 122/134 [2025-03-11 07:00:00,267 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 123/134 [2025-03-11 07:00:00,297 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 124/134 [2025-03-11 07:00:00,340 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 125/134 [2025-03-11 07:00:00,372 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 126/134 [2025-03-11 07:00:00,407 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 127/134 [2025-03-11 07:00:00,439 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 128/134 [2025-03-11 07:00:00,470 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 129/134 [2025-03-11 07:00:00,500 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 130/134 [2025-03-11 07:00:00,531 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 131/134 [2025-03-11 07:00:00,563 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 132/134 [2025-03-11 07:00:00,594 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 133/134 [2025-03-11 07:00:00,787 INFO test.py line 291 2389709] Test: scene0300_01 [49/78]-173223 Batch 4.785 (4.596) Accuracy 0.6922 (0.3740) mIoU 0.4272 (0.3008) [2025-03-11 07:00:00,852 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 0/138 [2025-03-11 07:00:00,880 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 1/138 [2025-03-11 07:00:00,908 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 2/138 [2025-03-11 07:00:00,936 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 3/138 [2025-03-11 07:00:00,964 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 4/138 [2025-03-11 07:00:00,992 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 5/138 [2025-03-11 07:00:01,019 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 6/138 [2025-03-11 07:00:01,048 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 7/138 [2025-03-11 07:00:01,075 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 8/138 [2025-03-11 07:00:01,102 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 9/138 [2025-03-11 07:00:01,131 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 10/138 [2025-03-11 07:00:01,159 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 11/138 [2025-03-11 07:00:01,186 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 12/138 [2025-03-11 07:00:01,213 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 13/138 [2025-03-11 07:00:01,242 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 14/138 [2025-03-11 07:00:01,270 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 15/138 [2025-03-11 07:00:01,297 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 16/138 [2025-03-11 07:00:01,324 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 17/138 [2025-03-11 07:00:01,352 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 18/138 [2025-03-11 07:00:01,379 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 19/138 [2025-03-11 07:00:01,406 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 20/138 [2025-03-11 07:00:01,436 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 21/138 [2025-03-11 07:00:01,463 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 22/138 [2025-03-11 07:00:01,489 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 23/138 [2025-03-11 07:00:01,517 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 24/138 [2025-03-11 07:00:01,544 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 25/138 [2025-03-11 07:00:01,572 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 26/138 [2025-03-11 07:00:01,609 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 27/138 [2025-03-11 07:00:01,647 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 28/138 [2025-03-11 07:00:01,671 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 29/138 [2025-03-11 07:00:01,695 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 30/138 [2025-03-11 07:00:01,719 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 31/138 [2025-03-11 07:00:01,743 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 32/138 [2025-03-11 07:00:01,768 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 33/138 [2025-03-11 07:00:01,792 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 34/138 [2025-03-11 07:00:01,822 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 35/138 [2025-03-11 07:00:01,845 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 36/138 [2025-03-11 07:00:01,869 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 37/138 [2025-03-11 07:00:01,894 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 38/138 [2025-03-11 07:00:01,918 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 39/138 [2025-03-11 07:00:01,942 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 40/138 [2025-03-11 07:00:01,965 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 41/138 [2025-03-11 07:00:01,989 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 42/138 [2025-03-11 07:00:02,012 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 43/138 [2025-03-11 07:00:02,036 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 44/138 [2025-03-11 07:00:02,059 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 45/138 [2025-03-11 07:00:02,081 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 46/138 [2025-03-11 07:00:02,104 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 47/138 [2025-03-11 07:00:02,134 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 48/138 [2025-03-11 07:00:02,157 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 49/138 [2025-03-11 07:00:02,180 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 50/138 [2025-03-11 07:00:02,204 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 51/138 [2025-03-11 07:00:02,228 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 52/138 [2025-03-11 07:00:02,251 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 53/138 [2025-03-11 07:00:02,275 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 54/138 [2025-03-11 07:00:02,298 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 55/138 [2025-03-11 07:00:02,326 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 56/138 [2025-03-11 07:00:02,359 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 57/138 [2025-03-11 07:00:02,392 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 58/138 [2025-03-11 07:00:02,417 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 59/138 [2025-03-11 07:00:02,439 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 60/138 [2025-03-11 07:00:02,464 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 61/138 [2025-03-11 07:00:02,490 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 62/138 [2025-03-11 07:00:02,516 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 63/138 [2025-03-11 07:00:02,542 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 64/138 [2025-03-11 07:00:02,568 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 65/138 [2025-03-11 07:00:02,618 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 66/138 [2025-03-11 07:00:02,645 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 67/138 [2025-03-11 07:00:02,681 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 68/138 [2025-03-11 07:00:02,707 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 69/138 [2025-03-11 07:00:02,733 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 70/138 [2025-03-11 07:00:02,759 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 71/138 [2025-03-11 07:00:02,785 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 72/138 [2025-03-11 07:00:02,811 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 73/138 [2025-03-11 07:00:02,836 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 74/138 [2025-03-11 07:00:02,862 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 75/138 [2025-03-11 07:00:02,888 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 76/138 [2025-03-11 07:00:02,919 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 77/138 [2025-03-11 07:00:02,946 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 78/138 [2025-03-11 07:00:02,975 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 79/138 [2025-03-11 07:00:03,001 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 80/138 [2025-03-11 07:00:03,030 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 81/138 [2025-03-11 07:00:03,056 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 82/138 [2025-03-11 07:00:03,084 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 83/138 [2025-03-11 07:00:03,112 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 84/138 [2025-03-11 07:00:03,139 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 85/138 [2025-03-11 07:00:03,166 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 86/138 [2025-03-11 07:00:03,192 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 87/138 [2025-03-11 07:00:03,220 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 88/138 [2025-03-11 07:00:03,248 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 89/138 [2025-03-11 07:00:03,276 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 90/138 [2025-03-11 07:00:03,304 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 91/138 [2025-03-11 07:00:03,331 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 92/138 [2025-03-11 07:00:03,359 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 93/138 [2025-03-11 07:00:03,387 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 94/138 [2025-03-11 07:00:03,422 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 95/138 [2025-03-11 07:00:03,450 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 96/138 [2025-03-11 07:00:03,478 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 97/138 [2025-03-11 07:00:03,506 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 98/138 [2025-03-11 07:00:03,543 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 99/138 [2025-03-11 07:00:03,570 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 100/138 [2025-03-11 07:00:03,597 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 101/138 [2025-03-11 07:00:03,627 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 102/138 [2025-03-11 07:00:03,660 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 103/138 [2025-03-11 07:00:03,688 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 104/138 [2025-03-11 07:00:03,716 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 105/138 [2025-03-11 07:00:03,745 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 106/138 [2025-03-11 07:00:03,773 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 107/138 [2025-03-11 07:00:03,801 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 108/138 [2025-03-11 07:00:03,833 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 109/138 [2025-03-11 07:00:03,861 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 110/138 [2025-03-11 07:00:03,889 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 111/138 [2025-03-11 07:00:03,918 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 112/138 [2025-03-11 07:00:03,946 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 113/138 [2025-03-11 07:00:03,974 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 114/138 [2025-03-11 07:00:04,002 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 115/138 [2025-03-11 07:00:04,030 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 116/138 [2025-03-11 07:00:04,058 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 117/138 [2025-03-11 07:00:04,092 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 118/138 [2025-03-11 07:00:04,129 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 119/138 [2025-03-11 07:00:04,164 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 120/138 [2025-03-11 07:00:04,197 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 121/138 [2025-03-11 07:00:04,231 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 122/138 [2025-03-11 07:00:04,265 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 123/138 [2025-03-11 07:00:04,301 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 124/138 [2025-03-11 07:00:04,340 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 125/138 [2025-03-11 07:00:04,385 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 126/138 [2025-03-11 07:00:04,443 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 127/138 [2025-03-11 07:00:04,487 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 128/138 [2025-03-11 07:00:04,541 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 129/138 [2025-03-11 07:00:04,579 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 130/138 [2025-03-11 07:00:04,606 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 131/138 [2025-03-11 07:00:04,633 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 132/138 [2025-03-11 07:00:04,667 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 133/138 [2025-03-11 07:00:04,712 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 134/138 [2025-03-11 07:00:04,751 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 135/138 [2025-03-11 07:00:04,780 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 136/138 [2025-03-11 07:00:04,810 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 137/138 [2025-03-11 07:00:04,959 INFO test.py line 291 2389709] Test: scene0426_03 [50/78]-126181 Batch 4.172 (4.588) Accuracy 0.7860 (0.3757) mIoU 0.2613 (0.3020) [2025-03-11 07:00:05,016 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 0/121 [2025-03-11 07:00:05,042 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 1/121 [2025-03-11 07:00:05,070 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 2/121 [2025-03-11 07:00:05,097 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 3/121 [2025-03-11 07:00:05,128 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 4/121 [2025-03-11 07:00:05,160 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 5/121 [2025-03-11 07:00:05,187 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 6/121 [2025-03-11 07:00:05,214 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 7/121 [2025-03-11 07:00:05,247 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 8/121 [2025-03-11 07:00:05,273 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 9/121 [2025-03-11 07:00:05,303 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 10/121 [2025-03-11 07:00:05,329 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 11/121 [2025-03-11 07:00:05,357 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 12/121 [2025-03-11 07:00:05,382 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 13/121 [2025-03-11 07:00:05,413 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 14/121 [2025-03-11 07:00:05,444 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 15/121 [2025-03-11 07:00:05,474 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 16/121 [2025-03-11 07:00:05,506 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 17/121 [2025-03-11 07:00:05,534 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 18/121 [2025-03-11 07:00:05,560 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 19/121 [2025-03-11 07:00:05,587 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 20/121 [2025-03-11 07:00:05,613 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 21/121 [2025-03-11 07:00:05,639 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 22/121 [2025-03-11 07:00:05,665 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 23/121 [2025-03-11 07:00:05,691 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 24/121 [2025-03-11 07:00:05,717 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 25/121 [2025-03-11 07:00:05,744 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 26/121 [2025-03-11 07:00:05,770 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 27/121 [2025-03-11 07:00:05,795 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 28/121 [2025-03-11 07:00:05,823 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 29/121 [2025-03-11 07:00:05,849 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 30/121 [2025-03-11 07:00:05,875 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 31/121 [2025-03-11 07:00:05,901 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 32/121 [2025-03-11 07:00:05,927 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 33/121 [2025-03-11 07:00:05,953 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 34/121 [2025-03-11 07:00:05,978 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 35/121 [2025-03-11 07:00:06,039 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 36/121 [2025-03-11 07:00:06,065 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 37/121 [2025-03-11 07:00:06,092 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 38/121 [2025-03-11 07:00:06,118 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 39/121 [2025-03-11 07:00:06,146 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 40/121 [2025-03-11 07:00:06,176 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 41/121 [2025-03-11 07:00:06,208 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 42/121 [2025-03-11 07:00:06,241 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 43/121 [2025-03-11 07:00:06,272 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 44/121 [2025-03-11 07:00:06,305 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 45/121 [2025-03-11 07:00:06,337 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 46/121 [2025-03-11 07:00:06,368 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 47/121 [2025-03-11 07:00:06,399 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 48/121 [2025-03-11 07:00:06,429 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 49/121 [2025-03-11 07:00:06,458 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 50/121 [2025-03-11 07:00:06,496 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 51/121 [2025-03-11 07:00:06,540 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 52/121 [2025-03-11 07:00:06,578 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 53/121 [2025-03-11 07:00:06,616 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 54/121 [2025-03-11 07:00:06,656 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 55/121 [2025-03-11 07:00:06,710 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 56/121 [2025-03-11 07:00:06,737 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 57/121 [2025-03-11 07:00:06,761 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 58/121 [2025-03-11 07:00:06,788 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 59/121 [2025-03-11 07:00:06,815 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 60/121 [2025-03-11 07:00:06,840 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 61/121 [2025-03-11 07:00:06,866 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 62/121 [2025-03-11 07:00:06,900 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 63/121 [2025-03-11 07:00:06,928 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 64/121 [2025-03-11 07:00:06,955 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 65/121 [2025-03-11 07:00:06,981 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 66/121 [2025-03-11 07:00:07,006 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 67/121 [2025-03-11 07:00:07,030 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 68/121 [2025-03-11 07:00:07,059 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 69/121 [2025-03-11 07:00:07,084 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 70/121 [2025-03-11 07:00:07,111 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 71/121 [2025-03-11 07:00:07,135 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 72/121 [2025-03-11 07:00:07,160 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 73/121 [2025-03-11 07:00:07,185 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 74/121 [2025-03-11 07:00:07,210 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 75/121 [2025-03-11 07:00:07,235 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 76/121 [2025-03-11 07:00:07,260 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 77/121 [2025-03-11 07:00:07,284 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 78/121 [2025-03-11 07:00:07,309 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 79/121 [2025-03-11 07:00:07,339 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 80/121 [2025-03-11 07:00:07,364 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 81/121 [2025-03-11 07:00:07,390 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 82/121 [2025-03-11 07:00:07,421 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 83/121 [2025-03-11 07:00:07,447 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 84/121 [2025-03-11 07:00:07,472 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 85/121 [2025-03-11 07:00:07,507 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 86/121 [2025-03-11 07:00:07,538 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 87/121 [2025-03-11 07:00:07,565 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 88/121 [2025-03-11 07:00:07,591 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 89/121 [2025-03-11 07:00:07,624 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 90/121 [2025-03-11 07:00:07,651 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 91/121 [2025-03-11 07:00:07,676 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 92/121 [2025-03-11 07:00:07,705 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 93/121 [2025-03-11 07:00:07,731 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 94/121 [2025-03-11 07:00:07,758 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 95/121 [2025-03-11 07:00:07,799 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 96/121 [2025-03-11 07:00:07,829 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 97/121 [2025-03-11 07:00:07,856 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 98/121 [2025-03-11 07:00:07,882 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 99/121 [2025-03-11 07:00:07,909 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 100/121 [2025-03-11 07:00:07,937 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 101/121 [2025-03-11 07:00:07,964 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 102/121 [2025-03-11 07:00:07,991 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 103/121 [2025-03-11 07:00:08,019 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 104/121 [2025-03-11 07:00:08,046 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 105/121 [2025-03-11 07:00:08,073 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 106/121 [2025-03-11 07:00:08,100 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 107/121 [2025-03-11 07:00:08,127 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 108/121 [2025-03-11 07:00:08,155 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 109/121 [2025-03-11 07:00:08,182 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 110/121 [2025-03-11 07:00:08,209 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 111/121 [2025-03-11 07:00:08,236 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 112/121 [2025-03-11 07:00:08,269 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 113/121 [2025-03-11 07:00:08,295 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 114/121 [2025-03-11 07:00:08,320 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 115/121 [2025-03-11 07:00:08,352 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 116/121 [2025-03-11 07:00:08,378 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 117/121 [2025-03-11 07:00:08,404 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 118/121 [2025-03-11 07:00:08,439 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 119/121 [2025-03-11 07:00:08,466 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 120/121 [2025-03-11 07:00:08,579 INFO test.py line 291 2389709] Test: scene0256_00 [51/78]-108517 Batch 3.619 (4.569) Accuracy 0.8862 (0.3761) mIoU 0.2597 (0.3025) [2025-03-11 07:00:08,656 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 0/139 [2025-03-11 07:00:08,689 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 1/139 [2025-03-11 07:00:08,722 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 2/139 [2025-03-11 07:00:08,755 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 3/139 [2025-03-11 07:00:08,788 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 4/139 [2025-03-11 07:00:08,821 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 5/139 [2025-03-11 07:00:08,854 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 6/139 [2025-03-11 07:00:08,888 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 7/139 [2025-03-11 07:00:08,921 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 8/139 [2025-03-11 07:00:08,956 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 9/139 [2025-03-11 07:00:08,990 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 10/139 [2025-03-11 07:00:09,025 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 11/139 [2025-03-11 07:00:09,058 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 12/139 [2025-03-11 07:00:09,093 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 13/139 [2025-03-11 07:00:09,127 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 14/139 [2025-03-11 07:00:09,168 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 15/139 [2025-03-11 07:00:09,203 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 16/139 [2025-03-11 07:00:09,236 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 17/139 [2025-03-11 07:00:09,270 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 18/139 [2025-03-11 07:00:09,306 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 19/139 [2025-03-11 07:00:09,342 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 20/139 [2025-03-11 07:00:09,378 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 21/139 [2025-03-11 07:00:09,413 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 22/139 [2025-03-11 07:00:09,447 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 23/139 [2025-03-11 07:00:09,481 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 24/139 [2025-03-11 07:00:09,515 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 25/139 [2025-03-11 07:00:09,549 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 26/139 [2025-03-11 07:00:09,581 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 27/139 [2025-03-11 07:00:09,613 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 28/139 [2025-03-11 07:00:09,647 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 29/139 [2025-03-11 07:00:09,681 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 30/139 [2025-03-11 07:00:09,714 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 31/139 [2025-03-11 07:00:09,746 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 32/139 [2025-03-11 07:00:09,778 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 33/139 [2025-03-11 07:00:09,812 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 34/139 [2025-03-11 07:00:09,844 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 35/139 [2025-03-11 07:00:09,878 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 36/139 [2025-03-11 07:00:09,910 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 37/139 [2025-03-11 07:00:09,944 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 38/139 [2025-03-11 07:00:09,978 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 39/139 [2025-03-11 07:00:10,011 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 40/139 [2025-03-11 07:00:10,044 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 41/139 [2025-03-11 07:00:10,076 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 42/139 [2025-03-11 07:00:10,110 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 43/139 [2025-03-11 07:00:10,141 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 44/139 [2025-03-11 07:00:10,173 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 45/139 [2025-03-11 07:00:10,211 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 46/139 [2025-03-11 07:00:10,243 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 47/139 [2025-03-11 07:00:10,275 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 48/139 [2025-03-11 07:00:10,307 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 49/139 [2025-03-11 07:00:10,339 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 50/139 [2025-03-11 07:00:10,373 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 51/139 [2025-03-11 07:00:10,407 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 52/139 [2025-03-11 07:00:10,459 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 53/139 [2025-03-11 07:00:10,493 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 54/139 [2025-03-11 07:00:10,526 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 55/139 [2025-03-11 07:00:10,558 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 56/139 [2025-03-11 07:00:10,590 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 57/139 [2025-03-11 07:00:10,622 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 58/139 [2025-03-11 07:00:10,654 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 59/139 [2025-03-11 07:00:10,688 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 60/139 [2025-03-11 07:00:10,739 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 61/139 [2025-03-11 07:00:10,771 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 62/139 [2025-03-11 07:00:10,803 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 63/139 [2025-03-11 07:00:10,835 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 64/139 [2025-03-11 07:00:10,866 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 65/139 [2025-03-11 07:00:10,898 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 66/139 [2025-03-11 07:00:10,930 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 67/139 [2025-03-11 07:00:10,962 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 68/139 [2025-03-11 07:00:10,993 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 69/139 [2025-03-11 07:00:11,025 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 70/139 [2025-03-11 07:00:11,060 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 71/139 [2025-03-11 07:00:11,092 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 72/139 [2025-03-11 07:00:11,125 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 73/139 [2025-03-11 07:00:11,158 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 74/139 [2025-03-11 07:00:11,191 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 75/139 [2025-03-11 07:00:11,223 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 76/139 [2025-03-11 07:00:11,257 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 77/139 [2025-03-11 07:00:11,289 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 78/139 [2025-03-11 07:00:11,321 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 79/139 [2025-03-11 07:00:11,354 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 80/139 [2025-03-11 07:00:11,385 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 81/139 [2025-03-11 07:00:11,417 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 82/139 [2025-03-11 07:00:11,449 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 83/139 [2025-03-11 07:00:11,481 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 84/139 [2025-03-11 07:00:11,509 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 85/139 [2025-03-11 07:00:11,537 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 86/139 [2025-03-11 07:00:11,575 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 87/139 [2025-03-11 07:00:11,608 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 88/139 [2025-03-11 07:00:11,643 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 89/139 [2025-03-11 07:00:11,678 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 90/139 [2025-03-11 07:00:11,714 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 91/139 [2025-03-11 07:00:11,750 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 92/139 [2025-03-11 07:00:11,782 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 93/139 [2025-03-11 07:00:11,816 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 94/139 [2025-03-11 07:00:11,853 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 95/139 [2025-03-11 07:00:11,895 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 96/139 [2025-03-11 07:00:11,928 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 97/139 [2025-03-11 07:00:11,962 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 98/139 [2025-03-11 07:00:11,998 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 99/139 [2025-03-11 07:00:12,137 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 100/139 [2025-03-11 07:00:12,171 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 101/139 [2025-03-11 07:00:12,213 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 102/139 [2025-03-11 07:00:12,243 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 103/139 [2025-03-11 07:00:12,284 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 104/139 [2025-03-11 07:00:12,320 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 105/139 [2025-03-11 07:00:12,350 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 106/139 [2025-03-11 07:00:12,380 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 107/139 [2025-03-11 07:00:12,413 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 108/139 [2025-03-11 07:00:12,443 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 109/139 [2025-03-11 07:00:12,479 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 110/139 [2025-03-11 07:00:12,510 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 111/139 [2025-03-11 07:00:12,547 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 112/139 [2025-03-11 07:00:12,578 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 113/139 [2025-03-11 07:00:12,608 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 114/139 [2025-03-11 07:00:12,639 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 115/139 [2025-03-11 07:00:12,669 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 116/139 [2025-03-11 07:00:12,702 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 117/139 [2025-03-11 07:00:12,759 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 118/139 [2025-03-11 07:00:12,788 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 119/139 [2025-03-11 07:00:12,818 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 120/139 [2025-03-11 07:00:12,848 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 121/139 [2025-03-11 07:00:12,881 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 122/139 [2025-03-11 07:00:12,914 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 123/139 [2025-03-11 07:00:12,949 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 124/139 [2025-03-11 07:00:12,990 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 125/139 [2025-03-11 07:00:13,047 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 126/139 [2025-03-11 07:00:13,088 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 127/139 [2025-03-11 07:00:13,120 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 128/139 [2025-03-11 07:00:13,154 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 129/139 [2025-03-11 07:00:13,187 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 130/139 [2025-03-11 07:00:13,220 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 131/139 [2025-03-11 07:00:13,252 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 132/139 [2025-03-11 07:00:13,285 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 133/139 [2025-03-11 07:00:13,318 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 134/139 [2025-03-11 07:00:13,358 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 135/139 [2025-03-11 07:00:13,393 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 136/139 [2025-03-11 07:00:13,425 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 137/139 [2025-03-11 07:00:13,457 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 138/139 [2025-03-11 07:00:13,652 INFO test.py line 291 2389709] Test: scene0221_00 [52/78]-185828 Batch 5.073 (4.579) Accuracy 0.8351 (0.3815) mIoU 0.3865 (0.3072) [2025-03-11 07:00:13,694 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 0/155 [2025-03-11 07:00:13,716 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 1/155 [2025-03-11 07:00:13,747 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 2/155 [2025-03-11 07:00:13,781 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 3/155 [2025-03-11 07:00:13,815 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 4/155 [2025-03-11 07:00:13,848 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 5/155 [2025-03-11 07:00:13,880 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 6/155 [2025-03-11 07:00:13,918 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 7/155 [2025-03-11 07:00:13,951 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 8/155 [2025-03-11 07:00:13,972 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 9/155 [2025-03-11 07:00:13,994 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 10/155 [2025-03-11 07:00:14,020 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 11/155 [2025-03-11 07:00:14,043 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 12/155 [2025-03-11 07:00:14,065 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 13/155 [2025-03-11 07:00:14,096 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 14/155 [2025-03-11 07:00:14,123 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 15/155 [2025-03-11 07:00:14,147 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 16/155 [2025-03-11 07:00:14,169 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 17/155 [2025-03-11 07:00:14,194 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 18/155 [2025-03-11 07:00:14,223 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 19/155 [2025-03-11 07:00:14,249 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 20/155 [2025-03-11 07:00:14,272 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 21/155 [2025-03-11 07:00:14,293 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 22/155 [2025-03-11 07:00:14,319 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 23/155 [2025-03-11 07:00:14,342 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 24/155 [2025-03-11 07:00:14,365 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 25/155 [2025-03-11 07:00:14,387 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 26/155 [2025-03-11 07:00:14,410 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 27/155 [2025-03-11 07:00:14,432 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 28/155 [2025-03-11 07:00:14,454 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 29/155 [2025-03-11 07:00:14,486 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 30/155 [2025-03-11 07:00:14,524 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 31/155 [2025-03-11 07:00:14,563 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 32/155 [2025-03-11 07:00:14,593 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 33/155 [2025-03-11 07:00:14,616 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 34/155 [2025-03-11 07:00:14,637 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 35/155 [2025-03-11 07:00:14,659 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 36/155 [2025-03-11 07:00:14,681 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 37/155 [2025-03-11 07:00:14,703 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 38/155 [2025-03-11 07:00:14,724 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 39/155 [2025-03-11 07:00:14,746 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 40/155 [2025-03-11 07:00:14,767 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 41/155 [2025-03-11 07:00:14,789 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 42/155 [2025-03-11 07:00:14,811 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 43/155 [2025-03-11 07:00:14,832 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 44/155 [2025-03-11 07:00:14,857 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 45/155 [2025-03-11 07:00:14,879 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 46/155 [2025-03-11 07:00:14,901 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 47/155 [2025-03-11 07:00:14,922 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 48/155 [2025-03-11 07:00:14,944 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 49/155 [2025-03-11 07:00:14,966 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 50/155 [2025-03-11 07:00:14,988 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 51/155 [2025-03-11 07:00:15,033 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 52/155 [2025-03-11 07:00:15,055 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 53/155 [2025-03-11 07:00:15,079 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 54/155 [2025-03-11 07:00:15,102 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 55/155 [2025-03-11 07:00:15,124 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 56/155 [2025-03-11 07:00:15,146 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 57/155 [2025-03-11 07:00:15,168 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 58/155 [2025-03-11 07:00:15,190 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 59/155 [2025-03-11 07:00:15,212 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 60/155 [2025-03-11 07:00:15,234 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 61/155 [2025-03-11 07:00:15,256 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 62/155 [2025-03-11 07:00:15,278 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 63/155 [2025-03-11 07:00:15,300 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 64/155 [2025-03-11 07:00:15,322 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 65/155 [2025-03-11 07:00:15,344 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 66/155 [2025-03-11 07:00:15,367 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 67/155 [2025-03-11 07:00:15,389 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 68/155 [2025-03-11 07:00:15,412 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 69/155 [2025-03-11 07:00:15,434 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 70/155 [2025-03-11 07:00:15,457 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 71/155 [2025-03-11 07:00:15,479 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 72/155 [2025-03-11 07:00:15,501 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 73/155 [2025-03-11 07:00:15,524 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 74/155 [2025-03-11 07:00:15,546 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 75/155 [2025-03-11 07:00:15,568 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 76/155 [2025-03-11 07:00:15,591 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 77/155 [2025-03-11 07:00:15,614 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 78/155 [2025-03-11 07:00:15,648 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 79/155 [2025-03-11 07:00:15,675 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 80/155 [2025-03-11 07:00:15,702 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 81/155 [2025-03-11 07:00:15,741 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 82/155 [2025-03-11 07:00:15,771 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 83/155 [2025-03-11 07:00:15,797 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 84/155 [2025-03-11 07:00:15,823 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 85/155 [2025-03-11 07:00:15,857 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 86/155 [2025-03-11 07:00:15,886 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 87/155 [2025-03-11 07:00:15,913 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 88/155 [2025-03-11 07:00:15,941 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 89/155 [2025-03-11 07:00:15,968 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 90/155 [2025-03-11 07:00:16,001 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 91/155 [2025-03-11 07:00:16,037 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 92/155 [2025-03-11 07:00:16,073 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 93/155 [2025-03-11 07:00:16,114 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 94/155 [2025-03-11 07:00:16,136 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 95/155 [2025-03-11 07:00:16,158 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 96/155 [2025-03-11 07:00:16,181 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 97/155 [2025-03-11 07:00:16,203 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 98/155 [2025-03-11 07:00:16,227 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 99/155 [2025-03-11 07:00:16,271 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 100/155 [2025-03-11 07:00:16,319 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 101/155 [2025-03-11 07:00:16,341 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 102/155 [2025-03-11 07:00:16,365 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 103/155 [2025-03-11 07:00:16,406 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 104/155 [2025-03-11 07:00:16,451 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 105/155 [2025-03-11 07:00:16,481 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 106/155 [2025-03-11 07:00:16,510 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 107/155 [2025-03-11 07:00:16,538 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 108/155 [2025-03-11 07:00:16,562 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 109/155 [2025-03-11 07:00:16,587 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 110/155 [2025-03-11 07:00:16,614 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 111/155 [2025-03-11 07:00:16,636 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 112/155 [2025-03-11 07:00:16,662 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 113/155 [2025-03-11 07:00:16,684 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 114/155 [2025-03-11 07:00:16,706 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 115/155 [2025-03-11 07:00:16,734 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 116/155 [2025-03-11 07:00:16,759 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 117/155 [2025-03-11 07:00:16,780 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 118/155 [2025-03-11 07:00:16,802 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 119/155 [2025-03-11 07:00:16,824 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 120/155 [2025-03-11 07:00:16,846 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 121/155 [2025-03-11 07:00:16,867 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 122/155 [2025-03-11 07:00:16,890 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 123/155 [2025-03-11 07:00:16,913 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 124/155 [2025-03-11 07:00:16,938 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 125/155 [2025-03-11 07:00:16,966 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 126/155 [2025-03-11 07:00:16,989 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 127/155 [2025-03-11 07:00:17,010 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 128/155 [2025-03-11 07:00:17,032 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 129/155 [2025-03-11 07:00:17,054 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 130/155 [2025-03-11 07:00:17,076 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 131/155 [2025-03-11 07:00:17,098 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 132/155 [2025-03-11 07:00:17,121 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 133/155 [2025-03-11 07:00:17,149 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 134/155 [2025-03-11 07:00:17,169 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 135/155 [2025-03-11 07:00:17,191 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 136/155 [2025-03-11 07:00:17,213 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 137/155 [2025-03-11 07:00:17,235 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 138/155 [2025-03-11 07:00:17,257 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 139/155 [2025-03-11 07:00:17,286 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 140/155 [2025-03-11 07:00:17,315 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 141/155 [2025-03-11 07:00:17,337 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 142/155 [2025-03-11 07:00:17,359 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 143/155 [2025-03-11 07:00:17,382 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 144/155 [2025-03-11 07:00:17,404 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 145/155 [2025-03-11 07:00:17,427 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 146/155 [2025-03-11 07:00:17,450 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 147/155 [2025-03-11 07:00:17,471 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 148/155 [2025-03-11 07:00:17,500 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 149/155 [2025-03-11 07:00:17,522 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 150/155 [2025-03-11 07:00:17,554 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 151/155 [2025-03-11 07:00:17,591 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 152/155 [2025-03-11 07:00:17,636 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 153/155 [2025-03-11 07:00:17,669 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 154/155 [2025-03-11 07:00:17,731 INFO test.py line 291 2389709] Test: scene0146_01 [53/78]-59330 Batch 4.079 (4.569) Accuracy 0.8459 (0.3812) mIoU 0.3057 (0.3067) [2025-03-11 07:00:17,802 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 0/155 [2025-03-11 07:00:17,838 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 1/155 [2025-03-11 07:00:17,869 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 2/155 [2025-03-11 07:00:17,904 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 3/155 [2025-03-11 07:00:17,935 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 4/155 [2025-03-11 07:00:17,965 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 5/155 [2025-03-11 07:00:17,994 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 6/155 [2025-03-11 07:00:18,025 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 7/155 [2025-03-11 07:00:18,085 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 8/155 [2025-03-11 07:00:18,115 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 9/155 [2025-03-11 07:00:18,151 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 10/155 [2025-03-11 07:00:18,182 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 11/155 [2025-03-11 07:00:18,217 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 12/155 [2025-03-11 07:00:18,253 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 13/155 [2025-03-11 07:00:18,285 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 14/155 [2025-03-11 07:00:18,317 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 15/155 [2025-03-11 07:00:18,347 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 16/155 [2025-03-11 07:00:18,376 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 17/155 [2025-03-11 07:00:18,407 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 18/155 [2025-03-11 07:00:18,442 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 19/155 [2025-03-11 07:00:18,472 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 20/155 [2025-03-11 07:00:18,501 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 21/155 [2025-03-11 07:00:18,530 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 22/155 [2025-03-11 07:00:18,560 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 23/155 [2025-03-11 07:00:18,590 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 24/155 [2025-03-11 07:00:18,621 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 25/155 [2025-03-11 07:00:18,652 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 26/155 [2025-03-11 07:00:18,681 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 27/155 [2025-03-11 07:00:18,712 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 28/155 [2025-03-11 07:00:18,742 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 29/155 [2025-03-11 07:00:18,773 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 30/155 [2025-03-11 07:00:18,816 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 31/155 [2025-03-11 07:00:18,856 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 32/155 [2025-03-11 07:00:18,891 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 33/155 [2025-03-11 07:00:18,930 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 34/155 [2025-03-11 07:00:18,975 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 35/155 [2025-03-11 07:00:19,009 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 36/155 [2025-03-11 07:00:19,043 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 37/155 [2025-03-11 07:00:19,079 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 38/155 [2025-03-11 07:00:19,114 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 39/155 [2025-03-11 07:00:19,163 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 40/155 [2025-03-11 07:00:19,194 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 41/155 [2025-03-11 07:00:19,228 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 42/155 [2025-03-11 07:00:19,260 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 43/155 [2025-03-11 07:00:19,290 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 44/155 [2025-03-11 07:00:19,322 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 45/155 [2025-03-11 07:00:19,355 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 46/155 [2025-03-11 07:00:19,386 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 47/155 [2025-03-11 07:00:19,418 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 48/155 [2025-03-11 07:00:19,447 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 49/155 [2025-03-11 07:00:19,477 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 50/155 [2025-03-11 07:00:19,515 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 51/155 [2025-03-11 07:00:19,555 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 52/155 [2025-03-11 07:00:19,584 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 53/155 [2025-03-11 07:00:19,614 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 54/155 [2025-03-11 07:00:19,647 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 55/155 [2025-03-11 07:00:19,692 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 56/155 [2025-03-11 07:00:19,745 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 57/155 [2025-03-11 07:00:19,776 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 58/155 [2025-03-11 07:00:19,808 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 59/155 [2025-03-11 07:00:19,843 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 60/155 [2025-03-11 07:00:19,883 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 61/155 [2025-03-11 07:00:19,913 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 62/155 [2025-03-11 07:00:19,945 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 63/155 [2025-03-11 07:00:19,976 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 64/155 [2025-03-11 07:00:20,007 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 65/155 [2025-03-11 07:00:20,038 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 66/155 [2025-03-11 07:00:20,069 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 67/155 [2025-03-11 07:00:20,101 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 68/155 [2025-03-11 07:00:20,130 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 69/155 [2025-03-11 07:00:20,161 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 70/155 [2025-03-11 07:00:20,192 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 71/155 [2025-03-11 07:00:20,222 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 72/155 [2025-03-11 07:00:20,255 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 73/155 [2025-03-11 07:00:20,287 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 74/155 [2025-03-11 07:00:20,317 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 75/155 [2025-03-11 07:00:20,346 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 76/155 [2025-03-11 07:00:20,376 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 77/155 [2025-03-11 07:00:20,408 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 78/155 [2025-03-11 07:00:20,437 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 79/155 [2025-03-11 07:00:20,467 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 80/155 [2025-03-11 07:00:20,496 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 81/155 [2025-03-11 07:00:20,529 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 82/155 [2025-03-11 07:00:20,559 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 83/155 [2025-03-11 07:00:20,588 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 84/155 [2025-03-11 07:00:20,620 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 85/155 [2025-03-11 07:00:20,655 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 86/155 [2025-03-11 07:00:20,685 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 87/155 [2025-03-11 07:00:20,715 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 88/155 [2025-03-11 07:00:20,745 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 89/155 [2025-03-11 07:00:20,775 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 90/155 [2025-03-11 07:00:20,806 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 91/155 [2025-03-11 07:00:20,838 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 92/155 [2025-03-11 07:00:20,881 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 93/155 [2025-03-11 07:00:20,913 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 94/155 [2025-03-11 07:00:20,943 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 95/155 [2025-03-11 07:00:20,973 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 96/155 [2025-03-11 07:00:21,004 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 97/155 [2025-03-11 07:00:21,035 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 98/155 [2025-03-11 07:00:21,066 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 99/155 [2025-03-11 07:00:21,100 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 100/155 [2025-03-11 07:00:21,135 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 101/155 [2025-03-11 07:00:21,166 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 102/155 [2025-03-11 07:00:21,226 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 103/155 [2025-03-11 07:00:21,258 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 104/155 [2025-03-11 07:00:21,289 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 105/155 [2025-03-11 07:00:21,320 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 106/155 [2025-03-11 07:00:21,351 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 107/155 [2025-03-11 07:00:21,387 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 108/155 [2025-03-11 07:00:21,420 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 109/155 [2025-03-11 07:00:21,451 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 110/155 [2025-03-11 07:00:21,482 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 111/155 [2025-03-11 07:00:21,514 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 112/155 [2025-03-11 07:00:21,546 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 113/155 [2025-03-11 07:00:21,578 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 114/155 [2025-03-11 07:00:21,609 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 115/155 [2025-03-11 07:00:21,641 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 116/155 [2025-03-11 07:00:21,674 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 117/155 [2025-03-11 07:00:21,708 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 118/155 [2025-03-11 07:00:21,754 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 119/155 [2025-03-11 07:00:21,786 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 120/155 [2025-03-11 07:00:21,818 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 121/155 [2025-03-11 07:00:21,849 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 122/155 [2025-03-11 07:00:21,880 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 123/155 [2025-03-11 07:00:21,911 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 124/155 [2025-03-11 07:00:21,943 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 125/155 [2025-03-11 07:00:21,976 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 126/155 [2025-03-11 07:00:22,009 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 127/155 [2025-03-11 07:00:22,041 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 128/155 [2025-03-11 07:00:22,074 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 129/155 [2025-03-11 07:00:22,106 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 130/155 [2025-03-11 07:00:22,137 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 131/155 [2025-03-11 07:00:22,169 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 132/155 [2025-03-11 07:00:22,201 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 133/155 [2025-03-11 07:00:22,232 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 134/155 [2025-03-11 07:00:22,262 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 135/155 [2025-03-11 07:00:22,293 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 136/155 [2025-03-11 07:00:22,325 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 137/155 [2025-03-11 07:00:22,358 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 138/155 [2025-03-11 07:00:22,389 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 139/155 [2025-03-11 07:00:22,421 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 140/155 [2025-03-11 07:00:22,452 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 141/155 [2025-03-11 07:00:22,483 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 142/155 [2025-03-11 07:00:22,514 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 143/155 [2025-03-11 07:00:22,550 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 144/155 [2025-03-11 07:00:22,582 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 145/155 [2025-03-11 07:00:22,613 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 146/155 [2025-03-11 07:00:22,644 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 147/155 [2025-03-11 07:00:22,676 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 148/155 [2025-03-11 07:00:22,707 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 149/155 [2025-03-11 07:00:22,738 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 150/155 [2025-03-11 07:00:22,769 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 151/155 [2025-03-11 07:00:22,799 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 152/155 [2025-03-11 07:00:22,830 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 153/155 [2025-03-11 07:00:22,862 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 154/155 [2025-03-11 07:00:23,052 INFO test.py line 291 2389709] Test: scene0697_03 [54/78]-165912 Batch 5.320 (4.583) Accuracy 0.6696 (0.3816) mIoU 0.2108 (0.3068) [2025-03-11 07:00:23,122 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 0/126 [2025-03-11 07:00:23,151 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 1/126 [2025-03-11 07:00:23,179 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 2/126 [2025-03-11 07:00:23,220 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 3/126 [2025-03-11 07:00:23,249 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 4/126 [2025-03-11 07:00:23,278 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 5/126 [2025-03-11 07:00:23,306 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 6/126 [2025-03-11 07:00:23,334 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 7/126 [2025-03-11 07:00:23,362 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 8/126 [2025-03-11 07:00:23,391 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 9/126 [2025-03-11 07:00:23,419 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 10/126 [2025-03-11 07:00:23,447 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 11/126 [2025-03-11 07:00:23,475 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 12/126 [2025-03-11 07:00:23,503 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 13/126 [2025-03-11 07:00:23,531 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 14/126 [2025-03-11 07:00:23,561 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 15/126 [2025-03-11 07:00:23,590 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 16/126 [2025-03-11 07:00:23,619 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 17/126 [2025-03-11 07:00:23,647 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 18/126 [2025-03-11 07:00:23,676 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 19/126 [2025-03-11 07:00:23,706 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 20/126 [2025-03-11 07:00:23,735 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 21/126 [2025-03-11 07:00:23,765 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 22/126 [2025-03-11 07:00:23,795 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 23/126 [2025-03-11 07:00:23,825 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 24/126 [2025-03-11 07:00:23,853 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 25/126 [2025-03-11 07:00:23,880 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 26/126 [2025-03-11 07:00:23,908 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 27/126 [2025-03-11 07:00:23,937 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 28/126 [2025-03-11 07:00:23,966 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 29/126 [2025-03-11 07:00:23,995 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 30/126 [2025-03-11 07:00:24,030 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 31/126 [2025-03-11 07:00:24,070 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 32/126 [2025-03-11 07:00:24,113 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 33/126 [2025-03-11 07:00:24,156 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 34/126 [2025-03-11 07:00:24,197 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 35/126 [2025-03-11 07:00:24,225 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 36/126 [2025-03-11 07:00:24,254 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 37/126 [2025-03-11 07:00:24,284 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 38/126 [2025-03-11 07:00:24,341 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 39/126 [2025-03-11 07:00:24,368 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 40/126 [2025-03-11 07:00:24,395 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 41/126 [2025-03-11 07:00:24,422 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 42/126 [2025-03-11 07:00:24,450 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 43/126 [2025-03-11 07:00:24,479 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 44/126 [2025-03-11 07:00:24,508 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 45/126 [2025-03-11 07:00:24,537 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 46/126 [2025-03-11 07:00:24,566 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 47/126 [2025-03-11 07:00:24,592 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 48/126 [2025-03-11 07:00:24,623 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 49/126 [2025-03-11 07:00:24,651 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 50/126 [2025-03-11 07:00:24,678 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 51/126 [2025-03-11 07:00:24,705 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 52/126 [2025-03-11 07:00:24,735 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 53/126 [2025-03-11 07:00:24,763 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 54/126 [2025-03-11 07:00:24,791 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 55/126 [2025-03-11 07:00:24,819 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 56/126 [2025-03-11 07:00:24,873 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 57/126 [2025-03-11 07:00:24,907 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 58/126 [2025-03-11 07:00:24,934 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 59/126 [2025-03-11 07:00:24,960 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 60/126 [2025-03-11 07:00:24,987 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 61/126 [2025-03-11 07:00:25,015 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 62/126 [2025-03-11 07:00:25,042 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 63/126 [2025-03-11 07:00:25,070 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 64/126 [2025-03-11 07:00:25,097 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 65/126 [2025-03-11 07:00:25,124 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 66/126 [2025-03-11 07:00:25,151 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 67/126 [2025-03-11 07:00:25,178 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 68/126 [2025-03-11 07:00:25,205 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 69/126 [2025-03-11 07:00:25,233 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 70/126 [2025-03-11 07:00:25,259 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 71/126 [2025-03-11 07:00:25,286 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 72/126 [2025-03-11 07:00:25,313 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 73/126 [2025-03-11 07:00:25,339 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 74/126 [2025-03-11 07:00:25,366 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 75/126 [2025-03-11 07:00:25,392 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 76/126 [2025-03-11 07:00:25,445 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 77/126 [2025-03-11 07:00:25,471 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 78/126 [2025-03-11 07:00:25,497 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 79/126 [2025-03-11 07:00:25,523 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 80/126 [2025-03-11 07:00:25,548 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 81/126 [2025-03-11 07:00:25,574 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 82/126 [2025-03-11 07:00:25,606 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 83/126 [2025-03-11 07:00:25,634 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 84/126 [2025-03-11 07:00:25,665 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 85/126 [2025-03-11 07:00:25,703 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 86/126 [2025-03-11 07:00:25,731 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 87/126 [2025-03-11 07:00:25,760 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 88/126 [2025-03-11 07:00:25,788 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 89/126 [2025-03-11 07:00:25,817 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 90/126 [2025-03-11 07:00:25,846 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 91/126 [2025-03-11 07:00:25,875 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 92/126 [2025-03-11 07:00:25,904 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 93/126 [2025-03-11 07:00:25,932 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 94/126 [2025-03-11 07:00:25,961 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 95/126 [2025-03-11 07:00:25,993 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 96/126 [2025-03-11 07:00:26,023 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 97/126 [2025-03-11 07:00:26,050 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 98/126 [2025-03-11 07:00:26,083 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 99/126 [2025-03-11 07:00:26,111 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 100/126 [2025-03-11 07:00:26,140 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 101/126 [2025-03-11 07:00:26,169 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 102/126 [2025-03-11 07:00:26,196 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 103/126 [2025-03-11 07:00:26,226 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 104/126 [2025-03-11 07:00:26,259 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 105/126 [2025-03-11 07:00:26,299 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 106/126 [2025-03-11 07:00:26,334 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 107/126 [2025-03-11 07:00:26,370 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 108/126 [2025-03-11 07:00:26,405 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 109/126 [2025-03-11 07:00:26,440 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 110/126 [2025-03-11 07:00:26,477 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 111/126 [2025-03-11 07:00:26,514 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 112/126 [2025-03-11 07:00:26,551 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 113/126 [2025-03-11 07:00:26,585 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 114/126 [2025-03-11 07:00:26,629 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 115/126 [2025-03-11 07:00:26,664 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 116/126 [2025-03-11 07:00:26,697 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 117/126 [2025-03-11 07:00:26,731 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 118/126 [2025-03-11 07:00:26,766 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 119/126 [2025-03-11 07:00:26,802 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 120/126 [2025-03-11 07:00:26,837 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 121/126 [2025-03-11 07:00:26,900 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 122/126 [2025-03-11 07:00:26,942 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 123/126 [2025-03-11 07:00:26,971 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 124/126 [2025-03-11 07:00:27,000 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 125/126 [2025-03-11 07:00:27,163 INFO test.py line 291 2389709] Test: scene0655_02 [55/78]-133857 Batch 4.110 (4.574) Accuracy 0.8828 (0.3817) mIoU 0.6487 (0.3069) [2025-03-11 07:00:27,207 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 0/138 [2025-03-11 07:00:27,232 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 1/138 [2025-03-11 07:00:27,261 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 2/138 [2025-03-11 07:00:27,286 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 3/138 [2025-03-11 07:00:27,313 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 4/138 [2025-03-11 07:00:27,338 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 5/138 [2025-03-11 07:00:27,362 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 6/138 [2025-03-11 07:00:27,406 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 7/138 [2025-03-11 07:00:27,431 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 8/138 [2025-03-11 07:00:27,459 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 9/138 [2025-03-11 07:00:27,488 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 10/138 [2025-03-11 07:00:27,516 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 11/138 [2025-03-11 07:00:27,545 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 12/138 [2025-03-11 07:00:27,574 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 13/138 [2025-03-11 07:00:27,601 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 14/138 [2025-03-11 07:00:27,625 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 15/138 [2025-03-11 07:00:27,653 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 16/138 [2025-03-11 07:00:27,685 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 17/138 [2025-03-11 07:00:27,712 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 18/138 [2025-03-11 07:00:27,736 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 19/138 [2025-03-11 07:00:27,762 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 20/138 [2025-03-11 07:00:27,786 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 21/138 [2025-03-11 07:00:27,818 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 22/138 [2025-03-11 07:00:27,851 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 23/138 [2025-03-11 07:00:27,894 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 24/138 [2025-03-11 07:00:27,935 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 25/138 [2025-03-11 07:00:27,963 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 26/138 [2025-03-11 07:00:27,995 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 27/138 [2025-03-11 07:00:28,040 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 28/138 [2025-03-11 07:00:28,084 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 29/138 [2025-03-11 07:00:28,133 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 30/138 [2025-03-11 07:00:28,185 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 31/138 [2025-03-11 07:00:28,235 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 32/138 [2025-03-11 07:00:28,265 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 33/138 [2025-03-11 07:00:28,300 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 34/138 [2025-03-11 07:00:28,333 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 35/138 [2025-03-11 07:00:28,364 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 36/138 [2025-03-11 07:00:28,388 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 37/138 [2025-03-11 07:00:28,413 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 38/138 [2025-03-11 07:00:28,437 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 39/138 [2025-03-11 07:00:28,462 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 40/138 [2025-03-11 07:00:28,487 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 41/138 [2025-03-11 07:00:28,513 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 42/138 [2025-03-11 07:00:28,537 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 43/138 [2025-03-11 07:00:28,561 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 44/138 [2025-03-11 07:00:28,586 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 45/138 [2025-03-11 07:00:28,611 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 46/138 [2025-03-11 07:00:28,635 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 47/138 [2025-03-11 07:00:28,658 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 48/138 [2025-03-11 07:00:28,683 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 49/138 [2025-03-11 07:00:28,707 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 50/138 [2025-03-11 07:00:28,737 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 51/138 [2025-03-11 07:00:28,761 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 52/138 [2025-03-11 07:00:28,784 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 53/138 [2025-03-11 07:00:28,808 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 54/138 [2025-03-11 07:00:28,832 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 55/138 [2025-03-11 07:00:28,857 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 56/138 [2025-03-11 07:00:28,890 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 57/138 [2025-03-11 07:00:28,921 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 58/138 [2025-03-11 07:00:28,944 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 59/138 [2025-03-11 07:00:28,967 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 60/138 [2025-03-11 07:00:28,998 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 61/138 [2025-03-11 07:00:29,023 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 62/138 [2025-03-11 07:00:29,045 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 63/138 [2025-03-11 07:00:29,075 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 64/138 [2025-03-11 07:00:29,099 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 65/138 [2025-03-11 07:00:29,134 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 66/138 [2025-03-11 07:00:29,161 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 67/138 [2025-03-11 07:00:29,186 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 68/138 [2025-03-11 07:00:29,214 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 69/138 [2025-03-11 07:00:29,239 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 70/138 [2025-03-11 07:00:29,269 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 71/138 [2025-03-11 07:00:29,295 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 72/138 [2025-03-11 07:00:29,322 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 73/138 [2025-03-11 07:00:29,348 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 74/138 [2025-03-11 07:00:29,376 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 75/138 [2025-03-11 07:00:29,410 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 76/138 [2025-03-11 07:00:29,439 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 77/138 [2025-03-11 07:00:29,471 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 78/138 [2025-03-11 07:00:29,530 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 79/138 [2025-03-11 07:00:29,557 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 80/138 [2025-03-11 07:00:29,586 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 81/138 [2025-03-11 07:00:29,617 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 82/138 [2025-03-11 07:00:29,642 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 83/138 [2025-03-11 07:00:29,670 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 84/138 [2025-03-11 07:00:29,706 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 85/138 [2025-03-11 07:00:29,736 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 86/138 [2025-03-11 07:00:29,762 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 87/138 [2025-03-11 07:00:29,803 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 88/138 [2025-03-11 07:00:29,830 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 89/138 [2025-03-11 07:00:29,857 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 90/138 [2025-03-11 07:00:29,885 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 91/138 [2025-03-11 07:00:29,917 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 92/138 [2025-03-11 07:00:29,951 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 93/138 [2025-03-11 07:00:29,978 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 94/138 [2025-03-11 07:00:30,013 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 95/138 [2025-03-11 07:00:30,040 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 96/138 [2025-03-11 07:00:30,066 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 97/138 [2025-03-11 07:00:30,092 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 98/138 [2025-03-11 07:00:30,131 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 99/138 [2025-03-11 07:00:30,157 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 100/138 [2025-03-11 07:00:30,183 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 101/138 [2025-03-11 07:00:30,212 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 102/138 [2025-03-11 07:00:30,237 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 103/138 [2025-03-11 07:00:30,288 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 104/138 [2025-03-11 07:00:30,338 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 105/138 [2025-03-11 07:00:30,367 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 106/138 [2025-03-11 07:00:30,396 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 107/138 [2025-03-11 07:00:30,422 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 108/138 [2025-03-11 07:00:30,465 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 109/138 [2025-03-11 07:00:30,492 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 110/138 [2025-03-11 07:00:30,518 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 111/138 [2025-03-11 07:00:30,545 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 112/138 [2025-03-11 07:00:30,574 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 113/138 [2025-03-11 07:00:30,601 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 114/138 [2025-03-11 07:00:30,629 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 115/138 [2025-03-11 07:00:30,660 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 116/138 [2025-03-11 07:00:30,687 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 117/138 [2025-03-11 07:00:30,716 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 118/138 [2025-03-11 07:00:30,745 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 119/138 [2025-03-11 07:00:30,771 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 120/138 [2025-03-11 07:00:30,797 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 121/138 [2025-03-11 07:00:30,825 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 122/138 [2025-03-11 07:00:30,853 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 123/138 [2025-03-11 07:00:30,879 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 124/138 [2025-03-11 07:00:30,908 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 125/138 [2025-03-11 07:00:30,939 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 126/138 [2025-03-11 07:00:30,971 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 127/138 [2025-03-11 07:00:30,999 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 128/138 [2025-03-11 07:00:31,027 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 129/138 [2025-03-11 07:00:31,058 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 130/138 [2025-03-11 07:00:31,089 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 131/138 [2025-03-11 07:00:31,142 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 132/138 [2025-03-11 07:00:31,172 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 133/138 [2025-03-11 07:00:31,201 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 134/138 [2025-03-11 07:00:31,228 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 135/138 [2025-03-11 07:00:31,253 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 136/138 [2025-03-11 07:00:31,290 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 137/138 [2025-03-11 07:00:31,386 INFO test.py line 291 2389709] Test: scene0553_02 [56/78]-67632 Batch 4.223 (4.568) Accuracy 0.8959 (0.3828) mIoU 0.4098 (0.3080) [2025-03-11 07:00:31,469 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 0/143 [2025-03-11 07:00:31,509 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 1/143 [2025-03-11 07:00:31,543 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 2/143 [2025-03-11 07:00:31,588 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 3/143 [2025-03-11 07:00:31,637 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 4/143 [2025-03-11 07:00:31,672 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 5/143 [2025-03-11 07:00:31,710 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 6/143 [2025-03-11 07:00:31,771 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 7/143 [2025-03-11 07:00:31,806 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 8/143 [2025-03-11 07:00:31,869 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 9/143 [2025-03-11 07:00:31,904 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 10/143 [2025-03-11 07:00:31,970 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 11/143 [2025-03-11 07:00:32,037 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 12/143 [2025-03-11 07:00:32,084 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 13/143 [2025-03-11 07:00:32,118 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 14/143 [2025-03-11 07:00:32,154 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 15/143 [2025-03-11 07:00:32,190 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 16/143 [2025-03-11 07:00:32,225 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 17/143 [2025-03-11 07:00:32,261 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 18/143 [2025-03-11 07:00:32,297 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 19/143 [2025-03-11 07:00:32,359 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 20/143 [2025-03-11 07:00:32,394 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 21/143 [2025-03-11 07:00:32,431 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 22/143 [2025-03-11 07:00:32,467 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 23/143 [2025-03-11 07:00:32,506 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 24/143 [2025-03-11 07:00:32,551 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 25/143 [2025-03-11 07:00:32,588 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 26/143 [2025-03-11 07:00:32,635 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 27/143 [2025-03-11 07:00:32,673 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 28/143 [2025-03-11 07:00:32,712 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 29/143 [2025-03-11 07:00:32,760 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 30/143 [2025-03-11 07:00:32,799 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 31/143 [2025-03-11 07:00:32,844 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 32/143 [2025-03-11 07:00:32,883 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 33/143 [2025-03-11 07:00:32,928 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 34/143 [2025-03-11 07:00:32,964 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 35/143 [2025-03-11 07:00:33,002 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 36/143 [2025-03-11 07:00:33,036 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 37/143 [2025-03-11 07:00:33,071 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 38/143 [2025-03-11 07:00:33,107 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 39/143 [2025-03-11 07:00:33,142 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 40/143 [2025-03-11 07:00:33,207 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 41/143 [2025-03-11 07:00:33,242 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 42/143 [2025-03-11 07:00:33,276 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 43/143 [2025-03-11 07:00:33,312 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 44/143 [2025-03-11 07:00:33,398 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 45/143 [2025-03-11 07:00:33,438 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 46/143 [2025-03-11 07:00:33,473 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 47/143 [2025-03-11 07:00:33,507 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 48/143 [2025-03-11 07:00:33,563 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 49/143 [2025-03-11 07:00:33,603 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 50/143 [2025-03-11 07:00:33,645 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 51/143 [2025-03-11 07:00:33,678 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 52/143 [2025-03-11 07:00:33,707 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 53/143 [2025-03-11 07:00:33,762 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 54/143 [2025-03-11 07:00:33,791 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 55/143 [2025-03-11 07:00:33,827 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 56/143 [2025-03-11 07:00:33,896 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 57/143 [2025-03-11 07:00:33,927 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 58/143 [2025-03-11 07:00:33,955 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 59/143 [2025-03-11 07:00:34,012 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 60/143 [2025-03-11 07:00:34,043 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 61/143 [2025-03-11 07:00:34,080 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 62/143 [2025-03-11 07:00:34,141 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 63/143 [2025-03-11 07:00:34,174 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 64/143 [2025-03-11 07:00:34,207 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 65/143 [2025-03-11 07:00:34,242 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 66/143 [2025-03-11 07:00:34,275 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 67/143 [2025-03-11 07:00:34,312 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 68/143 [2025-03-11 07:00:34,371 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 69/143 [2025-03-11 07:00:34,404 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 70/143 [2025-03-11 07:00:34,438 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 71/143 [2025-03-11 07:00:34,471 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 72/143 [2025-03-11 07:00:34,519 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 73/143 [2025-03-11 07:00:34,580 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 74/143 [2025-03-11 07:00:34,613 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 75/143 [2025-03-11 07:00:34,644 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 76/143 [2025-03-11 07:00:34,677 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 77/143 [2025-03-11 07:00:34,709 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 78/143 [2025-03-11 07:00:34,772 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 79/143 [2025-03-11 07:00:34,804 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 80/143 [2025-03-11 07:00:34,836 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 81/143 [2025-03-11 07:00:34,869 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 82/143 [2025-03-11 07:00:34,902 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 83/143 [2025-03-11 07:00:34,935 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 84/143 [2025-03-11 07:00:34,968 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 85/143 [2025-03-11 07:00:35,021 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 86/143 [2025-03-11 07:00:35,053 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 87/143 [2025-03-11 07:00:35,094 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 88/143 [2025-03-11 07:00:35,131 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 89/143 [2025-03-11 07:00:35,163 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 90/143 [2025-03-11 07:00:35,196 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 91/143 [2025-03-11 07:00:35,229 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 92/143 [2025-03-11 07:00:35,286 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 93/143 [2025-03-11 07:00:35,355 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 94/143 [2025-03-11 07:00:35,417 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 95/143 [2025-03-11 07:00:35,479 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 96/143 [2025-03-11 07:00:35,515 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 97/143 [2025-03-11 07:00:35,551 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 98/143 [2025-03-11 07:00:35,587 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 99/143 [2025-03-11 07:00:35,623 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 100/143 [2025-03-11 07:00:35,658 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 101/143 [2025-03-11 07:00:35,719 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 102/143 [2025-03-11 07:00:35,754 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 103/143 [2025-03-11 07:00:35,788 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 104/143 [2025-03-11 07:00:35,843 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 105/143 [2025-03-11 07:00:35,878 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 106/143 [2025-03-11 07:00:35,917 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 107/143 [2025-03-11 07:00:35,984 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 108/143 [2025-03-11 07:00:36,019 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 109/143 [2025-03-11 07:00:36,065 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 110/143 [2025-03-11 07:00:36,103 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 111/143 [2025-03-11 07:00:36,170 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 112/143 [2025-03-11 07:00:36,211 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 113/143 [2025-03-11 07:00:36,246 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 114/143 [2025-03-11 07:00:36,283 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 115/143 [2025-03-11 07:00:36,320 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 116/143 [2025-03-11 07:00:36,381 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 117/143 [2025-03-11 07:00:36,415 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 118/143 [2025-03-11 07:00:36,453 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 119/143 [2025-03-11 07:00:36,498 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 120/143 [2025-03-11 07:00:36,536 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 121/143 [2025-03-11 07:00:36,583 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 122/143 [2025-03-11 07:00:36,623 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 123/143 [2025-03-11 07:00:36,670 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 124/143 [2025-03-11 07:00:36,704 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 125/143 [2025-03-11 07:00:36,739 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 126/143 [2025-03-11 07:00:36,770 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 127/143 [2025-03-11 07:00:36,799 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 128/143 [2025-03-11 07:00:36,829 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 129/143 [2025-03-11 07:00:36,858 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 130/143 [2025-03-11 07:00:36,894 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 131/143 [2025-03-11 07:00:36,923 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 132/143 [2025-03-11 07:00:36,956 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 133/143 [2025-03-11 07:00:36,984 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 134/143 [2025-03-11 07:00:37,013 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 135/143 [2025-03-11 07:00:37,042 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 136/143 [2025-03-11 07:00:37,071 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 137/143 [2025-03-11 07:00:37,100 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 138/143 [2025-03-11 07:00:37,129 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 139/143 [2025-03-11 07:00:37,170 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 140/143 [2025-03-11 07:00:37,204 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 141/143 [2025-03-11 07:00:37,233 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 142/143 [2025-03-11 07:00:37,371 INFO test.py line 291 2389709] Test: scene0025_00 [57/78]-173392 Batch 5.985 (4.593) Accuracy 0.6871 (0.3809) mIoU 0.2447 (0.3059) [2025-03-11 07:00:37,403 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 0/108 [2025-03-11 07:00:37,423 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 1/108 [2025-03-11 07:00:37,452 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 2/108 [2025-03-11 07:00:37,470 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 3/108 [2025-03-11 07:00:37,489 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 4/108 [2025-03-11 07:00:37,507 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 5/108 [2025-03-11 07:00:37,525 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 6/108 [2025-03-11 07:00:37,542 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 7/108 [2025-03-11 07:00:37,560 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 8/108 [2025-03-11 07:00:37,577 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 9/108 [2025-03-11 07:00:37,594 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 10/108 [2025-03-11 07:00:37,611 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 11/108 [2025-03-11 07:00:37,628 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 12/108 [2025-03-11 07:00:37,645 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 13/108 [2025-03-11 07:00:37,664 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 14/108 [2025-03-11 07:00:37,683 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 15/108 [2025-03-11 07:00:37,700 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 16/108 [2025-03-11 07:00:37,717 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 17/108 [2025-03-11 07:00:37,734 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 18/108 [2025-03-11 07:00:37,753 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 19/108 [2025-03-11 07:00:37,769 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 20/108 [2025-03-11 07:00:37,787 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 21/108 [2025-03-11 07:00:37,829 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 22/108 [2025-03-11 07:00:37,849 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 23/108 [2025-03-11 07:00:37,867 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 24/108 [2025-03-11 07:00:37,886 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 25/108 [2025-03-11 07:00:37,907 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 26/108 [2025-03-11 07:00:37,926 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 27/108 [2025-03-11 07:00:37,944 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 28/108 [2025-03-11 07:00:37,966 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 29/108 [2025-03-11 07:00:37,984 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 30/108 [2025-03-11 07:00:38,005 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 31/108 [2025-03-11 07:00:38,024 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 32/108 [2025-03-11 07:00:38,050 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 33/108 [2025-03-11 07:00:38,069 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 34/108 [2025-03-11 07:00:38,090 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 35/108 [2025-03-11 07:00:38,109 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 36/108 [2025-03-11 07:00:38,127 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 37/108 [2025-03-11 07:00:38,145 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 38/108 [2025-03-11 07:00:38,163 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 39/108 [2025-03-11 07:00:38,181 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 40/108 [2025-03-11 07:00:38,199 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 41/108 [2025-03-11 07:00:38,216 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 42/108 [2025-03-11 07:00:38,236 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 43/108 [2025-03-11 07:00:38,253 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 44/108 [2025-03-11 07:00:38,272 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 45/108 [2025-03-11 07:00:38,290 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 46/108 [2025-03-11 07:00:38,308 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 47/108 [2025-03-11 07:00:38,326 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 48/108 [2025-03-11 07:00:38,345 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 49/108 [2025-03-11 07:00:38,362 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 50/108 [2025-03-11 07:00:38,380 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 51/108 [2025-03-11 07:00:38,399 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 52/108 [2025-03-11 07:00:38,418 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 53/108 [2025-03-11 07:00:38,436 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 54/108 [2025-03-11 07:00:38,454 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 55/108 [2025-03-11 07:00:38,474 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 56/108 [2025-03-11 07:00:38,492 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 57/108 [2025-03-11 07:00:38,511 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 58/108 [2025-03-11 07:00:38,529 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 59/108 [2025-03-11 07:00:38,547 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 60/108 [2025-03-11 07:00:38,565 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 61/108 [2025-03-11 07:00:38,584 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 62/108 [2025-03-11 07:00:38,601 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 63/108 [2025-03-11 07:00:38,619 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 64/108 [2025-03-11 07:00:38,637 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 65/108 [2025-03-11 07:00:38,660 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 66/108 [2025-03-11 07:00:38,678 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 67/108 [2025-03-11 07:00:38,695 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 68/108 [2025-03-11 07:00:38,714 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 69/108 [2025-03-11 07:00:38,732 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 70/108 [2025-03-11 07:00:38,756 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 71/108 [2025-03-11 07:00:38,776 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 72/108 [2025-03-11 07:00:38,794 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 73/108 [2025-03-11 07:00:38,813 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 74/108 [2025-03-11 07:00:38,832 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 75/108 [2025-03-11 07:00:38,851 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 76/108 [2025-03-11 07:00:38,869 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 77/108 [2025-03-11 07:00:38,887 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 78/108 [2025-03-11 07:00:38,905 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 79/108 [2025-03-11 07:00:38,922 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 80/108 [2025-03-11 07:00:38,941 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 81/108 [2025-03-11 07:00:38,959 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 82/108 [2025-03-11 07:00:38,978 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 83/108 [2025-03-11 07:00:38,997 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 84/108 [2025-03-11 07:00:39,015 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 85/108 [2025-03-11 07:00:39,033 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 86/108 [2025-03-11 07:00:39,052 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 87/108 [2025-03-11 07:00:39,070 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 88/108 [2025-03-11 07:00:39,087 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 89/108 [2025-03-11 07:00:39,106 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 90/108 [2025-03-11 07:00:39,123 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 91/108 [2025-03-11 07:00:39,142 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 92/108 [2025-03-11 07:00:39,160 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 93/108 [2025-03-11 07:00:39,181 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 94/108 [2025-03-11 07:00:39,199 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 95/108 [2025-03-11 07:00:39,218 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 96/108 [2025-03-11 07:00:39,235 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 97/108 [2025-03-11 07:00:39,252 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 98/108 [2025-03-11 07:00:39,269 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 99/108 [2025-03-11 07:00:39,287 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 100/108 [2025-03-11 07:00:39,306 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 101/108 [2025-03-11 07:00:39,325 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 102/108 [2025-03-11 07:00:39,343 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 103/108 [2025-03-11 07:00:39,361 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 104/108 [2025-03-11 07:00:39,379 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 105/108 [2025-03-11 07:00:39,396 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 106/108 [2025-03-11 07:00:39,415 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 107/108 [2025-03-11 07:00:39,457 INFO test.py line 291 2389709] Test: scene0693_02 [58/78]-47996 Batch 2.085 (4.550) Accuracy 0.8971 (0.3828) mIoU 0.4063 (0.3069) [2025-03-11 07:00:39,543 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 0/138 [2025-03-11 07:00:39,579 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 1/138 [2025-03-11 07:00:39,614 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 2/138 [2025-03-11 07:00:39,649 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 3/138 [2025-03-11 07:00:39,684 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 4/138 [2025-03-11 07:00:39,722 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 5/138 [2025-03-11 07:00:39,758 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 6/138 [2025-03-11 07:00:39,794 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 7/138 [2025-03-11 07:00:39,830 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 8/138 [2025-03-11 07:00:39,866 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 9/138 [2025-03-11 07:00:39,902 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 10/138 [2025-03-11 07:00:39,938 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 11/138 [2025-03-11 07:00:39,974 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 12/138 [2025-03-11 07:00:40,009 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 13/138 [2025-03-11 07:00:40,045 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 14/138 [2025-03-11 07:00:40,085 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 15/138 [2025-03-11 07:00:40,122 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 16/138 [2025-03-11 07:00:40,158 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 17/138 [2025-03-11 07:00:40,197 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 18/138 [2025-03-11 07:00:40,234 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 19/138 [2025-03-11 07:00:40,271 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 20/138 [2025-03-11 07:00:40,308 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 21/138 [2025-03-11 07:00:40,355 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 22/138 [2025-03-11 07:00:40,392 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 23/138 [2025-03-11 07:00:40,427 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 24/138 [2025-03-11 07:00:40,463 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 25/138 [2025-03-11 07:00:40,507 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 26/138 [2025-03-11 07:00:40,547 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 27/138 [2025-03-11 07:00:40,582 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 28/138 [2025-03-11 07:00:40,617 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 29/138 [2025-03-11 07:00:40,653 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 30/138 [2025-03-11 07:00:40,688 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 31/138 [2025-03-11 07:00:40,723 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 32/138 [2025-03-11 07:00:40,759 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 33/138 [2025-03-11 07:00:40,795 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 34/138 [2025-03-11 07:00:40,841 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 35/138 [2025-03-11 07:00:40,881 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 36/138 [2025-03-11 07:00:40,929 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 37/138 [2025-03-11 07:00:40,975 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 38/138 [2025-03-11 07:00:41,020 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 39/138 [2025-03-11 07:00:41,067 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 40/138 [2025-03-11 07:00:41,122 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 41/138 [2025-03-11 07:00:41,179 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 42/138 [2025-03-11 07:00:41,234 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 43/138 [2025-03-11 07:00:41,282 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 44/138 [2025-03-11 07:00:41,325 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 45/138 [2025-03-11 07:00:41,374 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 46/138 [2025-03-11 07:00:41,418 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 47/138 [2025-03-11 07:00:41,456 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 48/138 [2025-03-11 07:00:41,494 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 49/138 [2025-03-11 07:00:41,532 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 50/138 [2025-03-11 07:00:41,573 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 51/138 [2025-03-11 07:00:41,610 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 52/138 [2025-03-11 07:00:41,647 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 53/138 [2025-03-11 07:00:41,685 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 54/138 [2025-03-11 07:00:41,721 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 55/138 [2025-03-11 07:00:41,757 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 56/138 [2025-03-11 07:00:41,793 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 57/138 [2025-03-11 07:00:41,831 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 58/138 [2025-03-11 07:00:41,868 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 59/138 [2025-03-11 07:00:41,907 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 60/138 [2025-03-11 07:00:41,945 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 61/138 [2025-03-11 07:00:41,982 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 62/138 [2025-03-11 07:00:42,021 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 63/138 [2025-03-11 07:00:42,060 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 64/138 [2025-03-11 07:00:42,100 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 65/138 [2025-03-11 07:00:42,153 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 66/138 [2025-03-11 07:00:42,194 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 67/138 [2025-03-11 07:00:42,233 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 68/138 [2025-03-11 07:00:42,274 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 69/138 [2025-03-11 07:00:42,315 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 70/138 [2025-03-11 07:00:42,361 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 71/138 [2025-03-11 07:00:42,404 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 72/138 [2025-03-11 07:00:42,449 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 73/138 [2025-03-11 07:00:42,487 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 74/138 [2025-03-11 07:00:42,526 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 75/138 [2025-03-11 07:00:42,563 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 76/138 [2025-03-11 07:00:42,600 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 77/138 [2025-03-11 07:00:42,647 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 78/138 [2025-03-11 07:00:42,684 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 79/138 [2025-03-11 07:00:42,723 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 80/138 [2025-03-11 07:00:42,762 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 81/138 [2025-03-11 07:00:42,800 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 82/138 [2025-03-11 07:00:42,837 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 83/138 [2025-03-11 07:00:42,873 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 84/138 [2025-03-11 07:00:42,909 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 85/138 [2025-03-11 07:00:42,946 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 86/138 [2025-03-11 07:00:42,983 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 87/138 [2025-03-11 07:00:43,022 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 88/138 [2025-03-11 07:00:43,060 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 89/138 [2025-03-11 07:00:43,099 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 90/138 [2025-03-11 07:00:43,138 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 91/138 [2025-03-11 07:00:43,180 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 92/138 [2025-03-11 07:00:43,220 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 93/138 [2025-03-11 07:00:43,260 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 94/138 [2025-03-11 07:00:43,301 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 95/138 [2025-03-11 07:00:43,354 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 96/138 [2025-03-11 07:00:43,395 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 97/138 [2025-03-11 07:00:43,435 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 98/138 [2025-03-11 07:00:43,475 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 99/138 [2025-03-11 07:00:43,524 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 100/138 [2025-03-11 07:00:43,564 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 101/138 [2025-03-11 07:00:43,604 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 102/138 [2025-03-11 07:00:43,643 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 103/138 [2025-03-11 07:00:43,685 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 104/138 [2025-03-11 07:00:43,725 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 105/138 [2025-03-11 07:00:43,765 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 106/138 [2025-03-11 07:00:43,804 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 107/138 [2025-03-11 07:00:43,843 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 108/138 [2025-03-11 07:00:43,883 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 109/138 [2025-03-11 07:00:43,924 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 110/138 [2025-03-11 07:00:43,965 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 111/138 [2025-03-11 07:00:44,006 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 112/138 [2025-03-11 07:00:44,046 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 113/138 [2025-03-11 07:00:44,088 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 114/138 [2025-03-11 07:00:44,129 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 115/138 [2025-03-11 07:00:44,169 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 116/138 [2025-03-11 07:00:44,210 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 117/138 [2025-03-11 07:00:44,250 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 118/138 [2025-03-11 07:00:44,289 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 119/138 [2025-03-11 07:00:44,328 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 120/138 [2025-03-11 07:00:44,372 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 121/138 [2025-03-11 07:00:44,412 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 122/138 [2025-03-11 07:00:44,458 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 123/138 [2025-03-11 07:00:44,499 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 124/138 [2025-03-11 07:00:44,538 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 125/138 [2025-03-11 07:00:44,577 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 126/138 [2025-03-11 07:00:44,627 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 127/138 [2025-03-11 07:00:44,669 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 128/138 [2025-03-11 07:00:44,707 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 129/138 [2025-03-11 07:00:44,745 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 130/138 [2025-03-11 07:00:44,783 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 131/138 [2025-03-11 07:00:44,827 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 132/138 [2025-03-11 07:00:44,868 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 133/138 [2025-03-11 07:00:44,905 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 134/138 [2025-03-11 07:00:44,943 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 135/138 [2025-03-11 07:00:44,984 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 136/138 [2025-03-11 07:00:45,025 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 137/138 [2025-03-11 07:00:45,306 INFO test.py line 291 2389709] Test: scene0665_00 [59/78]-252726 Batch 5.849 (4.572) Accuracy 0.8919 (0.3824) mIoU 0.3929 (0.3068) [2025-03-11 07:00:45,388 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 0/148 [2025-03-11 07:00:45,420 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 1/148 [2025-03-11 07:00:45,453 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 2/148 [2025-03-11 07:00:45,496 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 3/148 [2025-03-11 07:00:45,529 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 4/148 [2025-03-11 07:00:45,562 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 5/148 [2025-03-11 07:00:45,595 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 6/148 [2025-03-11 07:00:45,628 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 7/148 [2025-03-11 07:00:45,661 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 8/148 [2025-03-11 07:00:45,694 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 9/148 [2025-03-11 07:00:45,734 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 10/148 [2025-03-11 07:00:45,767 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 11/148 [2025-03-11 07:00:45,800 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 12/148 [2025-03-11 07:00:45,834 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 13/148 [2025-03-11 07:00:45,866 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 14/148 [2025-03-11 07:00:45,900 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 15/148 [2025-03-11 07:00:45,933 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 16/148 [2025-03-11 07:00:45,966 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 17/148 [2025-03-11 07:00:46,000 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 18/148 [2025-03-11 07:00:46,034 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 19/148 [2025-03-11 07:00:46,067 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 20/148 [2025-03-11 07:00:46,100 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 21/148 [2025-03-11 07:00:46,134 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 22/148 [2025-03-11 07:00:46,168 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 23/148 [2025-03-11 07:00:46,203 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 24/148 [2025-03-11 07:00:46,235 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 25/148 [2025-03-11 07:00:46,268 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 26/148 [2025-03-11 07:00:46,304 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 27/148 [2025-03-11 07:00:46,337 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 28/148 [2025-03-11 07:00:46,371 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 29/148 [2025-03-11 07:00:46,402 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 30/148 [2025-03-11 07:00:46,434 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 31/148 [2025-03-11 07:00:46,466 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 32/148 [2025-03-11 07:00:46,506 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 33/148 [2025-03-11 07:00:46,538 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 34/148 [2025-03-11 07:00:46,591 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 35/148 [2025-03-11 07:00:46,633 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 36/148 [2025-03-11 07:00:46,665 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 37/148 [2025-03-11 07:00:46,698 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 38/148 [2025-03-11 07:00:46,730 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 39/148 [2025-03-11 07:00:46,763 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 40/148 [2025-03-11 07:00:46,795 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 41/148 [2025-03-11 07:00:46,828 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 42/148 [2025-03-11 07:00:46,861 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 43/148 [2025-03-11 07:00:46,901 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 44/148 [2025-03-11 07:00:46,939 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 45/148 [2025-03-11 07:00:46,976 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 46/148 [2025-03-11 07:00:47,010 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 47/148 [2025-03-11 07:00:47,043 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 48/148 [2025-03-11 07:00:47,076 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 49/148 [2025-03-11 07:00:47,110 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 50/148 [2025-03-11 07:00:47,144 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 51/148 [2025-03-11 07:00:47,182 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 52/148 [2025-03-11 07:00:47,218 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 53/148 [2025-03-11 07:00:47,277 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 54/148 [2025-03-11 07:00:47,314 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 55/148 [2025-03-11 07:00:47,346 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 56/148 [2025-03-11 07:00:47,381 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 57/148 [2025-03-11 07:00:47,420 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 58/148 [2025-03-11 07:00:47,453 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 59/148 [2025-03-11 07:00:47,486 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 60/148 [2025-03-11 07:00:47,519 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 61/148 [2025-03-11 07:00:47,552 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 62/148 [2025-03-11 07:00:47,586 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 63/148 [2025-03-11 07:00:47,618 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 64/148 [2025-03-11 07:00:47,651 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 65/148 [2025-03-11 07:00:47,684 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 66/148 [2025-03-11 07:00:47,721 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 67/148 [2025-03-11 07:00:47,752 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 68/148 [2025-03-11 07:00:47,784 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 69/148 [2025-03-11 07:00:47,817 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 70/148 [2025-03-11 07:00:47,858 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 71/148 [2025-03-11 07:00:47,891 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 72/148 [2025-03-11 07:00:47,926 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 73/148 [2025-03-11 07:00:47,959 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 74/148 [2025-03-11 07:00:47,998 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 75/148 [2025-03-11 07:00:48,032 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 76/148 [2025-03-11 07:00:48,065 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 77/148 [2025-03-11 07:00:48,098 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 78/148 [2025-03-11 07:00:48,129 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 79/148 [2025-03-11 07:00:48,162 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 80/148 [2025-03-11 07:00:48,202 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 81/148 [2025-03-11 07:00:48,235 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 82/148 [2025-03-11 07:00:48,268 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 83/148 [2025-03-11 07:00:48,299 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 84/148 [2025-03-11 07:00:48,331 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 85/148 [2025-03-11 07:00:48,363 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 86/148 [2025-03-11 07:00:48,395 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 87/148 [2025-03-11 07:00:48,427 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 88/148 [2025-03-11 07:00:48,459 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 89/148 [2025-03-11 07:00:48,490 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 90/148 [2025-03-11 07:00:48,523 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 91/148 [2025-03-11 07:00:48,556 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 92/148 [2025-03-11 07:00:48,587 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 93/148 [2025-03-11 07:00:48,620 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 94/148 [2025-03-11 07:00:48,652 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 95/148 [2025-03-11 07:00:48,688 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 96/148 [2025-03-11 07:00:48,732 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 97/148 [2025-03-11 07:00:48,786 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 98/148 [2025-03-11 07:00:48,838 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 99/148 [2025-03-11 07:00:48,874 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 100/148 [2025-03-11 07:00:48,908 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 101/148 [2025-03-11 07:00:48,946 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 102/148 [2025-03-11 07:00:48,980 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 103/148 [2025-03-11 07:00:49,016 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 104/148 [2025-03-11 07:00:49,062 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 105/148 [2025-03-11 07:00:49,099 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 106/148 [2025-03-11 07:00:49,136 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 107/148 [2025-03-11 07:00:49,170 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 108/148 [2025-03-11 07:00:49,211 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 109/148 [2025-03-11 07:00:49,245 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 110/148 [2025-03-11 07:00:49,290 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 111/148 [2025-03-11 07:00:49,335 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 112/148 [2025-03-11 07:00:49,380 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 113/148 [2025-03-11 07:00:49,425 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 114/148 [2025-03-11 07:00:49,469 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 115/148 [2025-03-11 07:00:49,511 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 116/148 [2025-03-11 07:00:49,546 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 117/148 [2025-03-11 07:00:49,580 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 118/148 [2025-03-11 07:00:49,639 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 119/148 [2025-03-11 07:00:49,682 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 120/148 [2025-03-11 07:00:49,717 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 121/148 [2025-03-11 07:00:49,757 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 122/148 [2025-03-11 07:00:49,791 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 123/148 [2025-03-11 07:00:49,826 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 124/148 [2025-03-11 07:00:49,863 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 125/148 [2025-03-11 07:00:49,897 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 126/148 [2025-03-11 07:00:49,932 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 127/148 [2025-03-11 07:00:49,966 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 128/148 [2025-03-11 07:00:50,000 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 129/148 [2025-03-11 07:00:50,054 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 130/148 [2025-03-11 07:00:50,088 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 131/148 [2025-03-11 07:00:50,121 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 132/148 [2025-03-11 07:00:50,155 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 133/148 [2025-03-11 07:00:50,190 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 134/148 [2025-03-11 07:00:50,223 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 135/148 [2025-03-11 07:00:50,256 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 136/148 [2025-03-11 07:00:50,289 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 137/148 [2025-03-11 07:00:50,322 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 138/148 [2025-03-11 07:00:50,355 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 139/148 [2025-03-11 07:00:50,389 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 140/148 [2025-03-11 07:00:50,421 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 141/148 [2025-03-11 07:00:50,453 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 142/148 [2025-03-11 07:00:50,485 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 143/148 [2025-03-11 07:00:50,520 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 144/148 [2025-03-11 07:00:50,553 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 145/148 [2025-03-11 07:00:50,592 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 146/148 [2025-03-11 07:00:50,626 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 147/148 [2025-03-11 07:00:50,853 INFO test.py line 291 2389709] Test: scene0647_01 [60/78]-194360 Batch 5.546 (4.588) Accuracy 0.9179 (0.3849) mIoU 0.6652 (0.3089) [2025-03-11 07:00:50,903 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 0/134 [2025-03-11 07:00:50,931 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 1/134 [2025-03-11 07:00:50,962 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 2/134 [2025-03-11 07:00:50,989 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 3/134 [2025-03-11 07:00:51,015 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 4/134 [2025-03-11 07:00:51,040 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 5/134 [2025-03-11 07:00:51,065 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 6/134 [2025-03-11 07:00:51,093 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 7/134 [2025-03-11 07:00:51,122 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 8/134 [2025-03-11 07:00:51,148 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 9/134 [2025-03-11 07:00:51,175 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 10/134 [2025-03-11 07:00:51,199 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 11/134 [2025-03-11 07:00:51,226 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 12/134 [2025-03-11 07:00:51,257 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 13/134 [2025-03-11 07:00:51,283 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 14/134 [2025-03-11 07:00:51,309 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 15/134 [2025-03-11 07:00:51,339 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 16/134 [2025-03-11 07:00:51,366 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 17/134 [2025-03-11 07:00:51,393 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 18/134 [2025-03-11 07:00:51,438 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 19/134 [2025-03-11 07:00:51,463 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 20/134 [2025-03-11 07:00:51,490 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 21/134 [2025-03-11 07:00:51,515 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 22/134 [2025-03-11 07:00:51,546 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 23/134 [2025-03-11 07:00:51,596 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 24/134 [2025-03-11 07:00:51,621 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 25/134 [2025-03-11 07:00:51,647 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 26/134 [2025-03-11 07:00:51,673 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 27/134 [2025-03-11 07:00:51,699 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 28/134 [2025-03-11 07:00:51,725 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 29/134 [2025-03-11 07:00:51,751 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 30/134 [2025-03-11 07:00:51,781 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 31/134 [2025-03-11 07:00:51,808 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 32/134 [2025-03-11 07:00:51,837 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 33/134 [2025-03-11 07:00:51,890 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 34/134 [2025-03-11 07:00:51,921 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 35/134 [2025-03-11 07:00:51,949 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 36/134 [2025-03-11 07:00:51,975 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 37/134 [2025-03-11 07:00:52,001 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 38/134 [2025-03-11 07:00:52,026 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 39/134 [2025-03-11 07:00:52,052 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 40/134 [2025-03-11 07:00:52,077 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 41/134 [2025-03-11 07:00:52,101 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 42/134 [2025-03-11 07:00:52,127 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 43/134 [2025-03-11 07:00:52,153 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 44/134 [2025-03-11 07:00:52,179 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 45/134 [2025-03-11 07:00:52,203 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 46/134 [2025-03-11 07:00:52,233 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 47/134 [2025-03-11 07:00:52,259 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 48/134 [2025-03-11 07:00:52,284 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 49/134 [2025-03-11 07:00:52,315 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 50/134 [2025-03-11 07:00:52,349 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 51/134 [2025-03-11 07:00:52,373 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 52/134 [2025-03-11 07:00:52,399 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 53/134 [2025-03-11 07:00:52,422 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 54/134 [2025-03-11 07:00:52,446 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 55/134 [2025-03-11 07:00:52,470 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 56/134 [2025-03-11 07:00:52,494 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 57/134 [2025-03-11 07:00:52,517 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 58/134 [2025-03-11 07:00:52,547 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 59/134 [2025-03-11 07:00:52,574 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 60/134 [2025-03-11 07:00:52,601 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 61/134 [2025-03-11 07:00:52,628 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 62/134 [2025-03-11 07:00:52,656 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 63/134 [2025-03-11 07:00:52,682 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 64/134 [2025-03-11 07:00:52,710 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 65/134 [2025-03-11 07:00:52,736 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 66/134 [2025-03-11 07:00:52,766 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 67/134 [2025-03-11 07:00:52,791 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 68/134 [2025-03-11 07:00:52,817 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 69/134 [2025-03-11 07:00:52,843 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 70/134 [2025-03-11 07:00:52,870 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 71/134 [2025-03-11 07:00:52,895 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 72/134 [2025-03-11 07:00:52,919 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 73/134 [2025-03-11 07:00:52,944 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 74/134 [2025-03-11 07:00:52,969 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 75/134 [2025-03-11 07:00:52,993 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 76/134 [2025-03-11 07:00:53,018 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 77/134 [2025-03-11 07:00:53,047 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 78/134 [2025-03-11 07:00:53,072 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 79/134 [2025-03-11 07:00:53,096 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 80/134 [2025-03-11 07:00:53,120 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 81/134 [2025-03-11 07:00:53,145 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 82/134 [2025-03-11 07:00:53,170 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 83/134 [2025-03-11 07:00:53,196 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 84/134 [2025-03-11 07:00:53,220 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 85/134 [2025-03-11 07:00:53,245 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 86/134 [2025-03-11 07:00:53,271 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 87/134 [2025-03-11 07:00:53,295 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 88/134 [2025-03-11 07:00:53,320 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 89/134 [2025-03-11 07:00:53,345 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 90/134 [2025-03-11 07:00:53,369 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 91/134 [2025-03-11 07:00:53,395 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 92/134 [2025-03-11 07:00:53,419 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 93/134 [2025-03-11 07:00:53,444 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 94/134 [2025-03-11 07:00:53,468 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 95/134 [2025-03-11 07:00:53,495 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 96/134 [2025-03-11 07:00:53,522 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 97/134 [2025-03-11 07:00:53,547 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 98/134 [2025-03-11 07:00:53,571 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 99/134 [2025-03-11 07:00:53,597 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 100/134 [2025-03-11 07:00:53,622 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 101/134 [2025-03-11 07:00:53,647 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 102/134 [2025-03-11 07:00:53,674 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 103/134 [2025-03-11 07:00:53,699 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 104/134 [2025-03-11 07:00:53,725 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 105/134 [2025-03-11 07:00:53,749 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 106/134 [2025-03-11 07:00:53,774 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 107/134 [2025-03-11 07:00:53,800 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 108/134 [2025-03-11 07:00:53,825 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 109/134 [2025-03-11 07:00:53,850 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 110/134 [2025-03-11 07:00:53,875 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 111/134 [2025-03-11 07:00:53,901 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 112/134 [2025-03-11 07:00:53,926 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 113/134 [2025-03-11 07:00:53,954 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 114/134 [2025-03-11 07:00:53,979 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 115/134 [2025-03-11 07:00:54,010 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 116/134 [2025-03-11 07:00:54,035 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 117/134 [2025-03-11 07:00:54,061 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 118/134 [2025-03-11 07:00:54,087 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 119/134 [2025-03-11 07:00:54,113 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 120/134 [2025-03-11 07:00:54,138 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 121/134 [2025-03-11 07:00:54,163 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 122/134 [2025-03-11 07:00:54,197 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 123/134 [2025-03-11 07:00:54,222 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 124/134 [2025-03-11 07:00:54,248 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 125/134 [2025-03-11 07:00:54,275 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 126/134 [2025-03-11 07:00:54,300 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 127/134 [2025-03-11 07:00:54,325 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 128/134 [2025-03-11 07:00:54,350 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 129/134 [2025-03-11 07:00:54,376 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 130/134 [2025-03-11 07:00:54,402 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 131/134 [2025-03-11 07:00:54,428 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 132/134 [2025-03-11 07:00:54,454 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 133/134 [2025-03-11 07:00:54,557 INFO test.py line 291 2389709] Test: scene0558_00 [61/78]-92953 Batch 3.704 (4.574) Accuracy 0.8891 (0.3852) mIoU 0.4859 (0.3094) [2025-03-11 07:00:54,613 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 0/139 [2025-03-11 07:00:54,638 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 1/139 [2025-03-11 07:00:54,664 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 2/139 [2025-03-11 07:00:54,690 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 3/139 [2025-03-11 07:00:54,718 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 4/139 [2025-03-11 07:00:54,746 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 5/139 [2025-03-11 07:00:54,774 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 6/139 [2025-03-11 07:00:54,820 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 7/139 [2025-03-11 07:00:54,858 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 8/139 [2025-03-11 07:00:54,894 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 9/139 [2025-03-11 07:00:54,927 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 10/139 [2025-03-11 07:00:54,959 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 11/139 [2025-03-11 07:00:54,999 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 12/139 [2025-03-11 07:00:55,036 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 13/139 [2025-03-11 07:00:55,084 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 14/139 [2025-03-11 07:00:55,116 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 15/139 [2025-03-11 07:00:55,148 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 16/139 [2025-03-11 07:00:55,179 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 17/139 [2025-03-11 07:00:55,217 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 18/139 [2025-03-11 07:00:55,251 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 19/139 [2025-03-11 07:00:55,284 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 20/139 [2025-03-11 07:00:55,322 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 21/139 [2025-03-11 07:00:55,359 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 22/139 [2025-03-11 07:00:55,394 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 23/139 [2025-03-11 07:00:55,428 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 24/139 [2025-03-11 07:00:55,455 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 25/139 [2025-03-11 07:00:55,481 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 26/139 [2025-03-11 07:00:55,508 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 27/139 [2025-03-11 07:00:55,535 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 28/139 [2025-03-11 07:00:55,562 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 29/139 [2025-03-11 07:00:55,588 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 30/139 [2025-03-11 07:00:55,615 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 31/139 [2025-03-11 07:00:55,641 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 32/139 [2025-03-11 07:00:55,668 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 33/139 [2025-03-11 07:00:55,695 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 34/139 [2025-03-11 07:00:55,720 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 35/139 [2025-03-11 07:00:55,748 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 36/139 [2025-03-11 07:00:55,774 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 37/139 [2025-03-11 07:00:55,801 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 38/139 [2025-03-11 07:00:55,830 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 39/139 [2025-03-11 07:00:55,856 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 40/139 [2025-03-11 07:00:55,884 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 41/139 [2025-03-11 07:00:55,909 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 42/139 [2025-03-11 07:00:55,935 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 43/139 [2025-03-11 07:00:55,960 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 44/139 [2025-03-11 07:00:55,986 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 45/139 [2025-03-11 07:00:56,012 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 46/139 [2025-03-11 07:00:56,037 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 47/139 [2025-03-11 07:00:56,063 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 48/139 [2025-03-11 07:00:56,091 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 49/139 [2025-03-11 07:00:56,116 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 50/139 [2025-03-11 07:00:56,142 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 51/139 [2025-03-11 07:00:56,167 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 52/139 [2025-03-11 07:00:56,192 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 53/139 [2025-03-11 07:00:56,217 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 54/139 [2025-03-11 07:00:56,243 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 55/139 [2025-03-11 07:00:56,269 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 56/139 [2025-03-11 07:00:56,292 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 57/139 [2025-03-11 07:00:56,316 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 58/139 [2025-03-11 07:00:56,341 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 59/139 [2025-03-11 07:00:56,367 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 60/139 [2025-03-11 07:00:56,391 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 61/139 [2025-03-11 07:00:56,415 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 62/139 [2025-03-11 07:00:56,439 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 63/139 [2025-03-11 07:00:56,464 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 64/139 [2025-03-11 07:00:56,488 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 65/139 [2025-03-11 07:00:56,512 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 66/139 [2025-03-11 07:00:56,536 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 67/139 [2025-03-11 07:00:56,564 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 68/139 [2025-03-11 07:00:56,587 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 69/139 [2025-03-11 07:00:56,611 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 70/139 [2025-03-11 07:00:56,656 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 71/139 [2025-03-11 07:00:56,684 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 72/139 [2025-03-11 07:00:56,709 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 73/139 [2025-03-11 07:00:56,735 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 74/139 [2025-03-11 07:00:56,759 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 75/139 [2025-03-11 07:00:56,784 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 76/139 [2025-03-11 07:00:56,809 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 77/139 [2025-03-11 07:00:56,833 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 78/139 [2025-03-11 07:00:56,858 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 79/139 [2025-03-11 07:00:56,883 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 80/139 [2025-03-11 07:00:56,907 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 81/139 [2025-03-11 07:00:56,931 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 82/139 [2025-03-11 07:00:56,956 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 83/139 [2025-03-11 07:00:56,981 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 84/139 [2025-03-11 07:00:57,007 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 85/139 [2025-03-11 07:00:57,032 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 86/139 [2025-03-11 07:00:57,056 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 87/139 [2025-03-11 07:00:57,082 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 88/139 [2025-03-11 07:00:57,109 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 89/139 [2025-03-11 07:00:57,141 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 90/139 [2025-03-11 07:00:57,172 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 91/139 [2025-03-11 07:00:57,201 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 92/139 [2025-03-11 07:00:57,234 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 93/139 [2025-03-11 07:00:57,267 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 94/139 [2025-03-11 07:00:57,307 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 95/139 [2025-03-11 07:00:57,343 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 96/139 [2025-03-11 07:00:57,374 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 97/139 [2025-03-11 07:00:57,406 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 98/139 [2025-03-11 07:00:57,439 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 99/139 [2025-03-11 07:00:57,479 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 100/139 [2025-03-11 07:00:57,510 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 101/139 [2025-03-11 07:00:57,546 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 102/139 [2025-03-11 07:00:57,587 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 103/139 [2025-03-11 07:00:57,636 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 104/139 [2025-03-11 07:00:57,661 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 105/139 [2025-03-11 07:00:57,687 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 106/139 [2025-03-11 07:00:57,713 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 107/139 [2025-03-11 07:00:57,739 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 108/139 [2025-03-11 07:00:57,764 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 109/139 [2025-03-11 07:00:57,789 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 110/139 [2025-03-11 07:00:57,817 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 111/139 [2025-03-11 07:00:57,852 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 112/139 [2025-03-11 07:00:57,880 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 113/139 [2025-03-11 07:00:57,907 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 114/139 [2025-03-11 07:00:57,935 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 115/139 [2025-03-11 07:00:57,962 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 116/139 [2025-03-11 07:00:57,989 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 117/139 [2025-03-11 07:00:58,018 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 118/139 [2025-03-11 07:00:58,044 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 119/139 [2025-03-11 07:00:58,070 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 120/139 [2025-03-11 07:00:58,102 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 121/139 [2025-03-11 07:00:58,135 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 122/139 [2025-03-11 07:00:58,169 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 123/139 [2025-03-11 07:00:58,195 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 124/139 [2025-03-11 07:00:58,221 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 125/139 [2025-03-11 07:00:58,248 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 126/139 [2025-03-11 07:00:58,274 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 127/139 [2025-03-11 07:00:58,300 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 128/139 [2025-03-11 07:00:58,325 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 129/139 [2025-03-11 07:00:58,353 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 130/139 [2025-03-11 07:00:58,379 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 131/139 [2025-03-11 07:00:58,405 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 132/139 [2025-03-11 07:00:58,432 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 133/139 [2025-03-11 07:00:58,457 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 134/139 [2025-03-11 07:00:58,483 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 135/139 [2025-03-11 07:00:58,509 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 136/139 [2025-03-11 07:00:58,539 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 137/139 [2025-03-11 07:00:58,565 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 138/139 [2025-03-11 07:00:58,680 INFO test.py line 291 2389709] Test: scene0084_02 [62/78]-98346 Batch 4.123 (4.566) Accuracy 0.8939 (0.3863) mIoU 0.3800 (0.3096) [2025-03-11 07:00:58,788 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 0/143 [2025-03-11 07:00:58,826 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 1/143 [2025-03-11 07:00:58,866 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 2/143 [2025-03-11 07:00:58,905 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 3/143 [2025-03-11 07:00:58,941 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 4/143 [2025-03-11 07:00:58,979 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 5/143 [2025-03-11 07:00:59,017 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 6/143 [2025-03-11 07:00:59,053 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 7/143 [2025-03-11 07:00:59,090 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 8/143 [2025-03-11 07:00:59,139 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 9/143 [2025-03-11 07:00:59,187 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 10/143 [2025-03-11 07:00:59,227 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 11/143 [2025-03-11 07:00:59,264 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 12/143 [2025-03-11 07:00:59,302 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 13/143 [2025-03-11 07:00:59,338 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 14/143 [2025-03-11 07:00:59,376 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 15/143 [2025-03-11 07:00:59,412 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 16/143 [2025-03-11 07:00:59,448 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 17/143 [2025-03-11 07:00:59,490 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 18/143 [2025-03-11 07:00:59,527 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 19/143 [2025-03-11 07:00:59,563 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 20/143 [2025-03-11 07:00:59,600 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 21/143 [2025-03-11 07:00:59,639 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 22/143 [2025-03-11 07:00:59,676 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 23/143 [2025-03-11 07:00:59,713 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 24/143 [2025-03-11 07:00:59,749 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 25/143 [2025-03-11 07:00:59,789 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 26/143 [2025-03-11 07:00:59,832 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 27/143 [2025-03-11 07:00:59,876 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 28/143 [2025-03-11 07:00:59,923 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 29/143 [2025-03-11 07:00:59,968 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 30/143 [2025-03-11 07:01:00,010 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 31/143 [2025-03-11 07:01:00,052 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 32/143 [2025-03-11 07:01:00,095 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 33/143 [2025-03-11 07:01:00,142 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 34/143 [2025-03-11 07:01:00,180 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 35/143 [2025-03-11 07:01:00,219 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 36/143 [2025-03-11 07:01:00,257 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 37/143 [2025-03-11 07:01:00,293 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 38/143 [2025-03-11 07:01:00,331 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 39/143 [2025-03-11 07:01:00,367 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 40/143 [2025-03-11 07:01:00,405 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 41/143 [2025-03-11 07:01:00,441 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 42/143 [2025-03-11 07:01:00,478 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 43/143 [2025-03-11 07:01:00,534 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 44/143 [2025-03-11 07:01:00,569 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 45/143 [2025-03-11 07:01:00,608 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 46/143 [2025-03-11 07:01:00,642 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 47/143 [2025-03-11 07:01:00,677 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 48/143 [2025-03-11 07:01:00,714 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 49/143 [2025-03-11 07:01:00,751 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 50/143 [2025-03-11 07:01:00,785 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 51/143 [2025-03-11 07:01:00,820 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 52/143 [2025-03-11 07:01:00,857 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 53/143 [2025-03-11 07:01:00,892 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 54/143 [2025-03-11 07:01:00,928 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 55/143 [2025-03-11 07:01:00,964 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 56/143 [2025-03-11 07:01:00,998 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 57/143 [2025-03-11 07:01:01,035 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 58/143 [2025-03-11 07:01:01,069 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 59/143 [2025-03-11 07:01:01,104 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 60/143 [2025-03-11 07:01:01,139 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 61/143 [2025-03-11 07:01:01,174 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 62/143 [2025-03-11 07:01:01,221 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 63/143 [2025-03-11 07:01:01,256 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 64/143 [2025-03-11 07:01:01,292 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 65/143 [2025-03-11 07:01:01,326 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 66/143 [2025-03-11 07:01:01,361 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 67/143 [2025-03-11 07:01:01,398 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 68/143 [2025-03-11 07:01:01,435 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 69/143 [2025-03-11 07:01:01,470 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 70/143 [2025-03-11 07:01:01,506 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 71/143 [2025-03-11 07:01:01,541 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 72/143 [2025-03-11 07:01:01,577 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 73/143 [2025-03-11 07:01:01,611 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 74/143 [2025-03-11 07:01:01,645 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 75/143 [2025-03-11 07:01:01,679 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 76/143 [2025-03-11 07:01:01,714 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 77/143 [2025-03-11 07:01:01,758 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 78/143 [2025-03-11 07:01:01,796 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 79/143 [2025-03-11 07:01:01,832 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 80/143 [2025-03-11 07:01:01,867 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 81/143 [2025-03-11 07:01:01,902 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 82/143 [2025-03-11 07:01:01,937 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 83/143 [2025-03-11 07:01:01,971 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 84/143 [2025-03-11 07:01:02,006 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 85/143 [2025-03-11 07:01:02,041 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 86/143 [2025-03-11 07:01:02,075 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 87/143 [2025-03-11 07:01:02,111 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 88/143 [2025-03-11 07:01:02,148 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 89/143 [2025-03-11 07:01:02,186 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 90/143 [2025-03-11 07:01:02,223 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 91/143 [2025-03-11 07:01:02,262 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 92/143 [2025-03-11 07:01:02,300 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 93/143 [2025-03-11 07:01:02,336 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 94/143 [2025-03-11 07:01:02,373 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 95/143 [2025-03-11 07:01:02,412 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 96/143 [2025-03-11 07:01:02,449 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 97/143 [2025-03-11 07:01:02,487 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 98/143 [2025-03-11 07:01:02,525 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 99/143 [2025-03-11 07:01:02,563 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 100/143 [2025-03-11 07:01:02,600 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 101/143 [2025-03-11 07:01:02,639 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 102/143 [2025-03-11 07:01:02,679 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 103/143 [2025-03-11 07:01:02,726 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 104/143 [2025-03-11 07:01:02,765 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 105/143 [2025-03-11 07:01:02,803 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 106/143 [2025-03-11 07:01:02,853 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 107/143 [2025-03-11 07:01:02,891 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 108/143 [2025-03-11 07:01:02,930 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 109/143 [2025-03-11 07:01:02,972 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 110/143 [2025-03-11 07:01:03,009 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 111/143 [2025-03-11 07:01:03,047 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 112/143 [2025-03-11 07:01:03,085 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 113/143 [2025-03-11 07:01:03,128 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 114/143 [2025-03-11 07:01:03,166 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 115/143 [2025-03-11 07:01:03,204 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 116/143 [2025-03-11 07:01:03,244 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 117/143 [2025-03-11 07:01:03,282 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 118/143 [2025-03-11 07:01:03,320 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 119/143 [2025-03-11 07:01:03,357 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 120/143 [2025-03-11 07:01:03,422 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 121/143 [2025-03-11 07:01:03,459 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 122/143 [2025-03-11 07:01:03,496 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 123/143 [2025-03-11 07:01:03,535 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 124/143 [2025-03-11 07:01:03,571 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 125/143 [2025-03-11 07:01:03,609 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 126/143 [2025-03-11 07:01:03,647 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 127/143 [2025-03-11 07:01:03,685 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 128/143 [2025-03-11 07:01:03,723 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 129/143 [2025-03-11 07:01:03,761 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 130/143 [2025-03-11 07:01:03,808 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 131/143 [2025-03-11 07:01:03,845 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 132/143 [2025-03-11 07:01:03,882 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 133/143 [2025-03-11 07:01:03,920 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 134/143 [2025-03-11 07:01:03,956 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 135/143 [2025-03-11 07:01:03,993 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 136/143 [2025-03-11 07:01:04,038 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 137/143 [2025-03-11 07:01:04,074 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 138/143 [2025-03-11 07:01:04,112 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 139/143 [2025-03-11 07:01:04,148 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 140/143 [2025-03-11 07:01:04,186 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 141/143 [2025-03-11 07:01:04,223 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 142/143 [2025-03-11 07:01:04,486 INFO test.py line 291 2389709] Test: scene0629_02 [63/78]-225983 Batch 5.805 (4.586) Accuracy 0.7122 (0.3864) mIoU 0.2147 (0.3095) [2025-03-11 07:01:04,563 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 0/126 [2025-03-11 07:01:04,596 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 1/126 [2025-03-11 07:01:04,629 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 2/126 [2025-03-11 07:01:04,663 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 3/126 [2025-03-11 07:01:04,696 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 4/126 [2025-03-11 07:01:04,730 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 5/126 [2025-03-11 07:01:04,764 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 6/126 [2025-03-11 07:01:04,797 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 7/126 [2025-03-11 07:01:04,830 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 8/126 [2025-03-11 07:01:04,862 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 9/126 [2025-03-11 07:01:04,895 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 10/126 [2025-03-11 07:01:04,928 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 11/126 [2025-03-11 07:01:04,961 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 12/126 [2025-03-11 07:01:04,993 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 13/126 [2025-03-11 07:01:05,030 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 14/126 [2025-03-11 07:01:05,075 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 15/126 [2025-03-11 07:01:05,108 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 16/126 [2025-03-11 07:01:05,141 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 17/126 [2025-03-11 07:01:05,173 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 18/126 [2025-03-11 07:01:05,205 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 19/126 [2025-03-11 07:01:05,237 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 20/126 [2025-03-11 07:01:05,269 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 21/126 [2025-03-11 07:01:05,302 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 22/126 [2025-03-11 07:01:05,338 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 23/126 [2025-03-11 07:01:05,370 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 24/126 [2025-03-11 07:01:05,402 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 25/126 [2025-03-11 07:01:05,435 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 26/126 [2025-03-11 07:01:05,472 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 27/126 [2025-03-11 07:01:05,504 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 28/126 [2025-03-11 07:01:05,537 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 29/126 [2025-03-11 07:01:05,570 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 30/126 [2025-03-11 07:01:05,604 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 31/126 [2025-03-11 07:01:05,637 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 32/126 [2025-03-11 07:01:05,669 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 33/126 [2025-03-11 07:01:05,702 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 34/126 [2025-03-11 07:01:05,736 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 35/126 [2025-03-11 07:01:05,769 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 36/126 [2025-03-11 07:01:05,802 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 37/126 [2025-03-11 07:01:05,835 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 38/126 [2025-03-11 07:01:05,869 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 39/126 [2025-03-11 07:01:05,904 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 40/126 [2025-03-11 07:01:05,936 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 41/126 [2025-03-11 07:01:05,967 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 42/126 [2025-03-11 07:01:05,997 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 43/126 [2025-03-11 07:01:06,029 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 44/126 [2025-03-11 07:01:06,062 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 45/126 [2025-03-11 07:01:06,094 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 46/126 [2025-03-11 07:01:06,127 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 47/126 [2025-03-11 07:01:06,161 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 48/126 [2025-03-11 07:01:06,193 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 49/126 [2025-03-11 07:01:06,225 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 50/126 [2025-03-11 07:01:06,259 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 51/126 [2025-03-11 07:01:06,291 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 52/126 [2025-03-11 07:01:06,321 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 53/126 [2025-03-11 07:01:06,353 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 54/126 [2025-03-11 07:01:06,385 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 55/126 [2025-03-11 07:01:06,415 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 56/126 [2025-03-11 07:01:06,447 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 57/126 [2025-03-11 07:01:06,478 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 58/126 [2025-03-11 07:01:06,520 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 59/126 [2025-03-11 07:01:06,550 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 60/126 [2025-03-11 07:01:06,583 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 61/126 [2025-03-11 07:01:06,617 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 62/126 [2025-03-11 07:01:06,648 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 63/126 [2025-03-11 07:01:06,680 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 64/126 [2025-03-11 07:01:06,711 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 65/126 [2025-03-11 07:01:06,742 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 66/126 [2025-03-11 07:01:06,775 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 67/126 [2025-03-11 07:01:06,806 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 68/126 [2025-03-11 07:01:06,837 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 69/126 [2025-03-11 07:01:06,869 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 70/126 [2025-03-11 07:01:06,900 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 71/126 [2025-03-11 07:01:06,945 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 72/126 [2025-03-11 07:01:06,991 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 73/126 [2025-03-11 07:01:07,050 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 74/126 [2025-03-11 07:01:07,082 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 75/126 [2025-03-11 07:01:07,114 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 76/126 [2025-03-11 07:01:07,158 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 77/126 [2025-03-11 07:01:07,202 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 78/126 [2025-03-11 07:01:07,249 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 79/126 [2025-03-11 07:01:07,292 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 80/126 [2025-03-11 07:01:07,330 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 81/126 [2025-03-11 07:01:07,395 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 82/126 [2025-03-11 07:01:07,453 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 83/126 [2025-03-11 07:01:07,492 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 84/126 [2025-03-11 07:01:07,533 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 85/126 [2025-03-11 07:01:07,572 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 86/126 [2025-03-11 07:01:07,625 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 87/126 [2025-03-11 07:01:07,676 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 88/126 [2025-03-11 07:01:07,718 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 89/126 [2025-03-11 07:01:07,751 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 90/126 [2025-03-11 07:01:07,789 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 91/126 [2025-03-11 07:01:07,823 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 92/126 [2025-03-11 07:01:07,856 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 93/126 [2025-03-11 07:01:07,888 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 94/126 [2025-03-11 07:01:07,922 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 95/126 [2025-03-11 07:01:07,956 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 96/126 [2025-03-11 07:01:07,989 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 97/126 [2025-03-11 07:01:08,022 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 98/126 [2025-03-11 07:01:08,055 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 99/126 [2025-03-11 07:01:08,088 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 100/126 [2025-03-11 07:01:08,121 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 101/126 [2025-03-11 07:01:08,154 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 102/126 [2025-03-11 07:01:08,189 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 103/126 [2025-03-11 07:01:08,222 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 104/126 [2025-03-11 07:01:08,254 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 105/126 [2025-03-11 07:01:08,286 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 106/126 [2025-03-11 07:01:08,320 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 107/126 [2025-03-11 07:01:08,354 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 108/126 [2025-03-11 07:01:08,386 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 109/126 [2025-03-11 07:01:08,418 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 110/126 [2025-03-11 07:01:08,451 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 111/126 [2025-03-11 07:01:08,484 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 112/126 [2025-03-11 07:01:08,519 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 113/126 [2025-03-11 07:01:08,553 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 114/126 [2025-03-11 07:01:08,587 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 115/126 [2025-03-11 07:01:08,620 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 116/126 [2025-03-11 07:01:08,652 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 117/126 [2025-03-11 07:01:08,684 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 118/126 [2025-03-11 07:01:08,716 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 119/126 [2025-03-11 07:01:08,748 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 120/126 [2025-03-11 07:01:08,781 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 121/126 [2025-03-11 07:01:08,812 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 122/126 [2025-03-11 07:01:08,845 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 123/126 [2025-03-11 07:01:08,876 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 124/126 [2025-03-11 07:01:08,908 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 125/126 [2025-03-11 07:01:09,138 INFO test.py line 291 2389709] Test: scene0474_04 [64/78]-178388 Batch 4.652 (4.587) Accuracy 0.8165 (0.3855) mIoU 0.4358 (0.3091) [2025-03-11 07:01:09,189 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 0/108 [2025-03-11 07:01:09,219 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 1/108 [2025-03-11 07:01:09,247 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 2/108 [2025-03-11 07:01:09,276 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 3/108 [2025-03-11 07:01:09,305 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 4/108 [2025-03-11 07:01:09,335 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 5/108 [2025-03-11 07:01:09,362 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 6/108 [2025-03-11 07:01:09,391 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 7/108 [2025-03-11 07:01:09,430 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 8/108 [2025-03-11 07:01:09,459 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 9/108 [2025-03-11 07:01:09,485 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 10/108 [2025-03-11 07:01:09,514 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 11/108 [2025-03-11 07:01:09,541 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 12/108 [2025-03-11 07:01:09,583 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 13/108 [2025-03-11 07:01:09,618 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 14/108 [2025-03-11 07:01:09,653 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 15/108 [2025-03-11 07:01:09,682 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 16/108 [2025-03-11 07:01:09,711 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 17/108 [2025-03-11 07:01:09,749 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 18/108 [2025-03-11 07:01:09,782 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 19/108 [2025-03-11 07:01:09,809 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 20/108 [2025-03-11 07:01:09,840 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 21/108 [2025-03-11 07:01:09,868 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 22/108 [2025-03-11 07:01:09,909 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 23/108 [2025-03-11 07:01:09,937 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 24/108 [2025-03-11 07:01:09,977 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 25/108 [2025-03-11 07:01:10,009 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 26/108 [2025-03-11 07:01:10,037 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 27/108 [2025-03-11 07:01:10,075 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 28/108 [2025-03-11 07:01:10,103 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 29/108 [2025-03-11 07:01:10,130 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 30/108 [2025-03-11 07:01:10,164 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 31/108 [2025-03-11 07:01:10,192 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 32/108 [2025-03-11 07:01:10,220 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 33/108 [2025-03-11 07:01:10,247 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 34/108 [2025-03-11 07:01:10,279 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 35/108 [2025-03-11 07:01:10,307 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 36/108 [2025-03-11 07:01:10,336 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 37/108 [2025-03-11 07:01:10,372 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 38/108 [2025-03-11 07:01:10,427 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 39/108 [2025-03-11 07:01:10,465 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 40/108 [2025-03-11 07:01:10,495 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 41/108 [2025-03-11 07:01:10,524 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 42/108 [2025-03-11 07:01:10,552 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 43/108 [2025-03-11 07:01:10,582 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 44/108 [2025-03-11 07:01:10,611 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 45/108 [2025-03-11 07:01:10,638 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 46/108 [2025-03-11 07:01:10,667 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 47/108 [2025-03-11 07:01:10,694 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 48/108 [2025-03-11 07:01:10,722 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 49/108 [2025-03-11 07:01:10,752 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 50/108 [2025-03-11 07:01:10,782 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 51/108 [2025-03-11 07:01:10,811 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 52/108 [2025-03-11 07:01:10,842 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 53/108 [2025-03-11 07:01:10,872 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 54/108 [2025-03-11 07:01:10,900 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 55/108 [2025-03-11 07:01:10,980 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 56/108 [2025-03-11 07:01:11,037 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 57/108 [2025-03-11 07:01:11,067 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 58/108 [2025-03-11 07:01:11,096 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 59/108 [2025-03-11 07:01:11,124 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 60/108 [2025-03-11 07:01:11,153 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 61/108 [2025-03-11 07:01:11,180 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 62/108 [2025-03-11 07:01:11,207 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 63/108 [2025-03-11 07:01:11,237 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 64/108 [2025-03-11 07:01:11,265 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 65/108 [2025-03-11 07:01:11,293 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 66/108 [2025-03-11 07:01:11,321 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 67/108 [2025-03-11 07:01:11,349 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 68/108 [2025-03-11 07:01:11,376 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 69/108 [2025-03-11 07:01:11,405 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 70/108 [2025-03-11 07:01:11,434 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 71/108 [2025-03-11 07:01:11,463 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 72/108 [2025-03-11 07:01:11,492 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 73/108 [2025-03-11 07:01:11,523 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 74/108 [2025-03-11 07:01:11,554 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 75/108 [2025-03-11 07:01:11,613 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 76/108 [2025-03-11 07:01:11,649 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 77/108 [2025-03-11 07:01:11,691 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 78/108 [2025-03-11 07:01:11,733 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 79/108 [2025-03-11 07:01:11,780 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 80/108 [2025-03-11 07:01:11,829 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 81/108 [2025-03-11 07:01:11,858 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 82/108 [2025-03-11 07:01:11,888 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 83/108 [2025-03-11 07:01:11,916 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 84/108 [2025-03-11 07:01:11,945 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 85/108 [2025-03-11 07:01:11,973 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 86/108 [2025-03-11 07:01:12,028 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 87/108 [2025-03-11 07:01:12,060 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 88/108 [2025-03-11 07:01:12,091 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 89/108 [2025-03-11 07:01:12,121 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 90/108 [2025-03-11 07:01:12,151 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 91/108 [2025-03-11 07:01:12,180 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 92/108 [2025-03-11 07:01:12,232 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 93/108 [2025-03-11 07:01:12,265 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 94/108 [2025-03-11 07:01:12,292 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 95/108 [2025-03-11 07:01:12,321 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 96/108 [2025-03-11 07:01:12,349 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 97/108 [2025-03-11 07:01:12,378 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 98/108 [2025-03-11 07:01:12,407 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 99/108 [2025-03-11 07:01:12,436 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 100/108 [2025-03-11 07:01:12,464 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 101/108 [2025-03-11 07:01:12,492 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 102/108 [2025-03-11 07:01:12,519 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 103/108 [2025-03-11 07:01:12,547 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 104/108 [2025-03-11 07:01:12,574 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 105/108 [2025-03-11 07:01:12,603 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 106/108 [2025-03-11 07:01:12,632 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 107/108 [2025-03-11 07:01:12,762 INFO test.py line 291 2389709] Test: scene0256_02 [65/78]-92069 Batch 3.623 (4.572) Accuracy 0.7674 (0.3848) mIoU 0.1687 (0.3075) [2025-03-11 07:01:12,854 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 0/126 [2025-03-11 07:01:12,890 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 1/126 [2025-03-11 07:01:12,926 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 2/126 [2025-03-11 07:01:12,962 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 3/126 [2025-03-11 07:01:13,022 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 4/126 [2025-03-11 07:01:13,055 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 5/126 [2025-03-11 07:01:13,091 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 6/126 [2025-03-11 07:01:13,127 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 7/126 [2025-03-11 07:01:13,162 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 8/126 [2025-03-11 07:01:13,199 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 9/126 [2025-03-11 07:01:13,259 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 10/126 [2025-03-11 07:01:13,324 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 11/126 [2025-03-11 07:01:13,360 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 12/126 [2025-03-11 07:01:13,394 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 13/126 [2025-03-11 07:01:13,429 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 14/126 [2025-03-11 07:01:13,464 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 15/126 [2025-03-11 07:01:13,499 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 16/126 [2025-03-11 07:01:13,580 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 17/126 [2025-03-11 07:01:13,616 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 18/126 [2025-03-11 07:01:13,651 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 19/126 [2025-03-11 07:01:13,687 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 20/126 [2025-03-11 07:01:13,721 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 21/126 [2025-03-11 07:01:13,756 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 22/126 [2025-03-11 07:01:13,829 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 23/126 [2025-03-11 07:01:13,868 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 24/126 [2025-03-11 07:01:13,911 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 25/126 [2025-03-11 07:01:13,972 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 26/126 [2025-03-11 07:01:14,011 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 27/126 [2025-03-11 07:01:14,069 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 28/126 [2025-03-11 07:01:14,112 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 29/126 [2025-03-11 07:01:14,170 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 30/126 [2025-03-11 07:01:14,211 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 31/126 [2025-03-11 07:01:14,251 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 32/126 [2025-03-11 07:01:14,296 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 33/126 [2025-03-11 07:01:14,335 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 34/126 [2025-03-11 07:01:14,401 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 35/126 [2025-03-11 07:01:14,468 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 36/126 [2025-03-11 07:01:14,501 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 37/126 [2025-03-11 07:01:14,538 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 38/126 [2025-03-11 07:01:14,703 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 39/126 [2025-03-11 07:01:14,735 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 40/126 [2025-03-11 07:01:14,767 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 41/126 [2025-03-11 07:01:14,800 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 42/126 [2025-03-11 07:01:14,831 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 43/126 [2025-03-11 07:01:14,862 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 44/126 [2025-03-11 07:01:14,896 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 45/126 [2025-03-11 07:01:14,927 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 46/126 [2025-03-11 07:01:14,959 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 47/126 [2025-03-11 07:01:14,990 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 48/126 [2025-03-11 07:01:15,021 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 49/126 [2025-03-11 07:01:15,053 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 50/126 [2025-03-11 07:01:15,084 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 51/126 [2025-03-11 07:01:15,117 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 52/126 [2025-03-11 07:01:15,149 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 53/126 [2025-03-11 07:01:15,200 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 54/126 [2025-03-11 07:01:15,238 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 55/126 [2025-03-11 07:01:15,276 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 56/126 [2025-03-11 07:01:15,318 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 57/126 [2025-03-11 07:01:15,366 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 58/126 [2025-03-11 07:01:15,407 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 59/126 [2025-03-11 07:01:15,451 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 60/126 [2025-03-11 07:01:15,500 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 61/126 [2025-03-11 07:01:15,542 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 62/126 [2025-03-11 07:01:15,593 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 63/126 [2025-03-11 07:01:15,646 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 64/126 [2025-03-11 07:01:15,685 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 65/126 [2025-03-11 07:01:15,731 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 66/126 [2025-03-11 07:01:15,771 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 67/126 [2025-03-11 07:01:15,802 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 68/126 [2025-03-11 07:01:15,833 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 69/126 [2025-03-11 07:01:15,866 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 70/126 [2025-03-11 07:01:15,898 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 71/126 [2025-03-11 07:01:15,932 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 72/126 [2025-03-11 07:01:15,963 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 73/126 [2025-03-11 07:01:15,995 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 74/126 [2025-03-11 07:01:16,027 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 75/126 [2025-03-11 07:01:16,059 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 76/126 [2025-03-11 07:01:16,090 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 77/126 [2025-03-11 07:01:16,120 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 78/126 [2025-03-11 07:01:16,152 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 79/126 [2025-03-11 07:01:16,186 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 80/126 [2025-03-11 07:01:16,219 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 81/126 [2025-03-11 07:01:16,252 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 82/126 [2025-03-11 07:01:16,293 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 83/126 [2025-03-11 07:01:16,327 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 84/126 [2025-03-11 07:01:16,362 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 85/126 [2025-03-11 07:01:16,396 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 86/126 [2025-03-11 07:01:16,430 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 87/126 [2025-03-11 07:01:16,463 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 88/126 [2025-03-11 07:01:16,501 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 89/126 [2025-03-11 07:01:16,535 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 90/126 [2025-03-11 07:01:16,568 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 91/126 [2025-03-11 07:01:16,605 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 92/126 [2025-03-11 07:01:16,639 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 93/126 [2025-03-11 07:01:16,672 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 94/126 [2025-03-11 07:01:16,705 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 95/126 [2025-03-11 07:01:16,739 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 96/126 [2025-03-11 07:01:16,773 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 97/126 [2025-03-11 07:01:16,806 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 98/126 [2025-03-11 07:01:16,840 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 99/126 [2025-03-11 07:01:16,873 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 100/126 [2025-03-11 07:01:16,908 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 101/126 [2025-03-11 07:01:16,942 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 102/126 [2025-03-11 07:01:16,975 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 103/126 [2025-03-11 07:01:17,009 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 104/126 [2025-03-11 07:01:17,042 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 105/126 [2025-03-11 07:01:17,076 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 106/126 [2025-03-11 07:01:17,109 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 107/126 [2025-03-11 07:01:17,143 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 108/126 [2025-03-11 07:01:17,176 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 109/126 [2025-03-11 07:01:17,208 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 110/126 [2025-03-11 07:01:17,242 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 111/126 [2025-03-11 07:01:17,277 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 112/126 [2025-03-11 07:01:17,310 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 113/126 [2025-03-11 07:01:17,345 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 114/126 [2025-03-11 07:01:17,378 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 115/126 [2025-03-11 07:01:17,411 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 116/126 [2025-03-11 07:01:17,443 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 117/126 [2025-03-11 07:01:17,478 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 118/126 [2025-03-11 07:01:17,510 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 119/126 [2025-03-11 07:01:17,542 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 120/126 [2025-03-11 07:01:17,575 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 121/126 [2025-03-11 07:01:17,607 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 122/126 [2025-03-11 07:01:17,656 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 123/126 [2025-03-11 07:01:17,688 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 124/126 [2025-03-11 07:01:17,720 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 125/126 [2025-03-11 07:01:17,920 INFO test.py line 291 2389709] Test: scene0025_02 [66/78]-177900 Batch 5.158 (4.581) Accuracy 0.7011 (0.3845) mIoU 0.2708 (0.3067) [2025-03-11 07:01:18,010 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 0/148 [2025-03-11 07:01:18,048 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 1/148 [2025-03-11 07:01:18,086 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 2/148 [2025-03-11 07:01:18,124 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 3/148 [2025-03-11 07:01:18,165 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 4/148 [2025-03-11 07:01:18,202 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 5/148 [2025-03-11 07:01:18,240 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 6/148 [2025-03-11 07:01:18,278 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 7/148 [2025-03-11 07:01:18,315 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 8/148 [2025-03-11 07:01:18,353 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 9/148 [2025-03-11 07:01:18,390 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 10/148 [2025-03-11 07:01:18,428 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 11/148 [2025-03-11 07:01:18,467 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 12/148 [2025-03-11 07:01:18,505 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 13/148 [2025-03-11 07:01:18,544 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 14/148 [2025-03-11 07:01:18,582 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 15/148 [2025-03-11 07:01:18,620 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 16/148 [2025-03-11 07:01:18,658 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 17/148 [2025-03-11 07:01:18,695 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 18/148 [2025-03-11 07:01:18,733 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 19/148 [2025-03-11 07:01:18,776 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 20/148 [2025-03-11 07:01:18,815 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 21/148 [2025-03-11 07:01:18,864 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 22/148 [2025-03-11 07:01:18,924 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 23/148 [2025-03-11 07:01:18,967 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 24/148 [2025-03-11 07:01:19,008 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 25/148 [2025-03-11 07:01:19,057 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 26/148 [2025-03-11 07:01:19,111 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 27/148 [2025-03-11 07:01:19,151 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 28/148 [2025-03-11 07:01:19,193 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 29/148 [2025-03-11 07:01:19,237 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 30/148 [2025-03-11 07:01:19,277 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 31/148 [2025-03-11 07:01:19,315 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 32/148 [2025-03-11 07:01:19,353 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 33/148 [2025-03-11 07:01:19,393 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 34/148 [2025-03-11 07:01:19,433 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 35/148 [2025-03-11 07:01:19,471 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 36/148 [2025-03-11 07:01:19,517 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 37/148 [2025-03-11 07:01:19,556 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 38/148 [2025-03-11 07:01:19,594 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 39/148 [2025-03-11 07:01:19,632 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 40/148 [2025-03-11 07:01:19,669 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 41/148 [2025-03-11 07:01:19,707 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 42/148 [2025-03-11 07:01:19,745 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 43/148 [2025-03-11 07:01:19,782 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 44/148 [2025-03-11 07:01:19,819 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 45/148 [2025-03-11 07:01:19,858 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 46/148 [2025-03-11 07:01:19,897 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 47/148 [2025-03-11 07:01:19,932 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 48/148 [2025-03-11 07:01:19,968 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 49/148 [2025-03-11 07:01:20,003 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 50/148 [2025-03-11 07:01:20,040 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 51/148 [2025-03-11 07:01:20,078 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 52/148 [2025-03-11 07:01:20,118 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 53/148 [2025-03-11 07:01:20,163 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 54/148 [2025-03-11 07:01:20,200 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 55/148 [2025-03-11 07:01:20,238 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 56/148 [2025-03-11 07:01:20,275 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 57/148 [2025-03-11 07:01:20,311 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 58/148 [2025-03-11 07:01:20,345 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 59/148 [2025-03-11 07:01:20,381 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 60/148 [2025-03-11 07:01:20,417 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 61/148 [2025-03-11 07:01:20,454 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 62/148 [2025-03-11 07:01:20,491 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 63/148 [2025-03-11 07:01:20,528 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 64/148 [2025-03-11 07:01:20,589 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 65/148 [2025-03-11 07:01:20,625 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 66/148 [2025-03-11 07:01:20,660 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 67/148 [2025-03-11 07:01:20,696 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 68/148 [2025-03-11 07:01:20,731 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 69/148 [2025-03-11 07:01:20,770 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 70/148 [2025-03-11 07:01:20,808 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 71/148 [2025-03-11 07:01:20,851 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 72/148 [2025-03-11 07:01:20,887 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 73/148 [2025-03-11 07:01:20,924 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 74/148 [2025-03-11 07:01:20,969 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 75/148 [2025-03-11 07:01:21,004 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 76/148 [2025-03-11 07:01:21,041 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 77/148 [2025-03-11 07:01:21,100 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 78/148 [2025-03-11 07:01:21,136 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 79/148 [2025-03-11 07:01:21,173 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 80/148 [2025-03-11 07:01:21,208 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 81/148 [2025-03-11 07:01:21,244 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 82/148 [2025-03-11 07:01:21,282 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 83/148 [2025-03-11 07:01:21,317 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 84/148 [2025-03-11 07:01:21,353 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 85/148 [2025-03-11 07:01:21,388 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 86/148 [2025-03-11 07:01:21,424 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 87/148 [2025-03-11 07:01:21,459 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 88/148 [2025-03-11 07:01:21,495 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 89/148 [2025-03-11 07:01:21,530 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 90/148 [2025-03-11 07:01:21,566 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 91/148 [2025-03-11 07:01:21,603 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 92/148 [2025-03-11 07:01:21,659 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 93/148 [2025-03-11 07:01:21,696 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 94/148 [2025-03-11 07:01:21,733 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 95/148 [2025-03-11 07:01:21,773 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 96/148 [2025-03-11 07:01:21,812 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 97/148 [2025-03-11 07:01:21,851 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 98/148 [2025-03-11 07:01:21,890 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 99/148 [2025-03-11 07:01:21,930 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 100/148 [2025-03-11 07:01:21,971 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 101/148 [2025-03-11 07:01:22,011 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 102/148 [2025-03-11 07:01:22,051 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 103/148 [2025-03-11 07:01:22,092 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 104/148 [2025-03-11 07:01:22,132 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 105/148 [2025-03-11 07:01:22,172 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 106/148 [2025-03-11 07:01:22,213 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 107/148 [2025-03-11 07:01:22,252 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 108/148 [2025-03-11 07:01:22,292 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 109/148 [2025-03-11 07:01:22,332 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 110/148 [2025-03-11 07:01:22,373 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 111/148 [2025-03-11 07:01:22,416 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 112/148 [2025-03-11 07:01:22,454 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 113/148 [2025-03-11 07:01:22,492 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 114/148 [2025-03-11 07:01:22,531 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 115/148 [2025-03-11 07:01:22,582 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 116/148 [2025-03-11 07:01:22,621 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 117/148 [2025-03-11 07:01:22,661 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 118/148 [2025-03-11 07:01:22,702 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 119/148 [2025-03-11 07:01:22,742 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 120/148 [2025-03-11 07:01:22,781 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 121/148 [2025-03-11 07:01:22,824 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 122/148 [2025-03-11 07:01:22,866 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 123/148 [2025-03-11 07:01:22,907 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 124/148 [2025-03-11 07:01:22,946 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 125/148 [2025-03-11 07:01:22,986 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 126/148 [2025-03-11 07:01:23,025 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 127/148 [2025-03-11 07:01:23,066 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 128/148 [2025-03-11 07:01:23,106 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 129/148 [2025-03-11 07:01:23,145 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 130/148 [2025-03-11 07:01:23,185 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 131/148 [2025-03-11 07:01:23,224 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 132/148 [2025-03-11 07:01:23,264 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 133/148 [2025-03-11 07:01:23,304 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 134/148 [2025-03-11 07:01:23,343 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 135/148 [2025-03-11 07:01:23,380 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 136/148 [2025-03-11 07:01:23,425 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 137/148 [2025-03-11 07:01:23,463 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 138/148 [2025-03-11 07:01:23,501 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 139/148 [2025-03-11 07:01:23,539 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 140/148 [2025-03-11 07:01:23,576 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 141/148 [2025-03-11 07:01:23,616 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 142/148 [2025-03-11 07:01:23,660 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 143/148 [2025-03-11 07:01:23,700 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 144/148 [2025-03-11 07:01:23,740 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 145/148 [2025-03-11 07:01:23,777 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 146/148 [2025-03-11 07:01:23,821 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 147/148 [2025-03-11 07:01:24,087 INFO test.py line 291 2389709] Test: scene0568_01 [67/78]-239388 Batch 6.167 (4.605) Accuracy 0.8777 (0.3895) mIoU 0.3041 (0.3090) [2025-03-11 07:01:24,143 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 0/130 [2025-03-11 07:01:24,171 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 1/130 [2025-03-11 07:01:24,198 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 2/130 [2025-03-11 07:01:24,233 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 3/130 [2025-03-11 07:01:24,261 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 4/130 [2025-03-11 07:01:24,288 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 5/130 [2025-03-11 07:01:24,315 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 6/130 [2025-03-11 07:01:24,344 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 7/130 [2025-03-11 07:01:24,371 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 8/130 [2025-03-11 07:01:24,407 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 9/130 [2025-03-11 07:01:24,434 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 10/130 [2025-03-11 07:01:24,461 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 11/130 [2025-03-11 07:01:24,497 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 12/130 [2025-03-11 07:01:24,525 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 13/130 [2025-03-11 07:01:24,552 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 14/130 [2025-03-11 07:01:24,586 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 15/130 [2025-03-11 07:01:24,624 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 16/130 [2025-03-11 07:01:24,652 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 17/130 [2025-03-11 07:01:24,680 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 18/130 [2025-03-11 07:01:24,733 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 19/130 [2025-03-11 07:01:24,761 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 20/130 [2025-03-11 07:01:24,793 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 21/130 [2025-03-11 07:01:24,822 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 22/130 [2025-03-11 07:01:24,849 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 23/130 [2025-03-11 07:01:24,876 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 24/130 [2025-03-11 07:01:24,904 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 25/130 [2025-03-11 07:01:24,933 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 26/130 [2025-03-11 07:01:24,961 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 27/130 [2025-03-11 07:01:24,989 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 28/130 [2025-03-11 07:01:25,016 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 29/130 [2025-03-11 07:01:25,052 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 30/130 [2025-03-11 07:01:25,078 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 31/130 [2025-03-11 07:01:25,101 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 32/130 [2025-03-11 07:01:25,127 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 33/130 [2025-03-11 07:01:25,150 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 34/130 [2025-03-11 07:01:25,174 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 35/130 [2025-03-11 07:01:25,198 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 36/130 [2025-03-11 07:01:25,222 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 37/130 [2025-03-11 07:01:25,245 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 38/130 [2025-03-11 07:01:25,268 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 39/130 [2025-03-11 07:01:25,291 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 40/130 [2025-03-11 07:01:25,314 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 41/130 [2025-03-11 07:01:25,336 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 42/130 [2025-03-11 07:01:25,360 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 43/130 [2025-03-11 07:01:25,381 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 44/130 [2025-03-11 07:01:25,403 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 45/130 [2025-03-11 07:01:25,425 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 46/130 [2025-03-11 07:01:25,450 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 47/130 [2025-03-11 07:01:25,477 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 48/130 [2025-03-11 07:01:25,503 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 49/130 [2025-03-11 07:01:25,531 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 50/130 [2025-03-11 07:01:25,556 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 51/130 [2025-03-11 07:01:25,583 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 52/130 [2025-03-11 07:01:25,610 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 53/130 [2025-03-11 07:01:25,636 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 54/130 [2025-03-11 07:01:25,662 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 55/130 [2025-03-11 07:01:25,688 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 56/130 [2025-03-11 07:01:25,714 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 57/130 [2025-03-11 07:01:25,740 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 58/130 [2025-03-11 07:01:25,767 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 59/130 [2025-03-11 07:01:25,793 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 60/130 [2025-03-11 07:01:25,819 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 61/130 [2025-03-11 07:01:25,850 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 62/130 [2025-03-11 07:01:25,877 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 63/130 [2025-03-11 07:01:25,903 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 64/130 [2025-03-11 07:01:25,930 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 65/130 [2025-03-11 07:01:25,956 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 66/130 [2025-03-11 07:01:25,983 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 67/130 [2025-03-11 07:01:26,011 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 68/130 [2025-03-11 07:01:26,038 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 69/130 [2025-03-11 07:01:26,065 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 70/130 [2025-03-11 07:01:26,092 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 71/130 [2025-03-11 07:01:26,130 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 72/130 [2025-03-11 07:01:26,161 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 73/130 [2025-03-11 07:01:26,194 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 74/130 [2025-03-11 07:01:26,223 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 75/130 [2025-03-11 07:01:26,249 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 76/130 [2025-03-11 07:01:26,276 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 77/130 [2025-03-11 07:01:26,304 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 78/130 [2025-03-11 07:01:26,329 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 79/130 [2025-03-11 07:01:26,355 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 80/130 [2025-03-11 07:01:26,381 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 81/130 [2025-03-11 07:01:26,417 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 82/130 [2025-03-11 07:01:26,445 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 83/130 [2025-03-11 07:01:26,472 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 84/130 [2025-03-11 07:01:26,499 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 85/130 [2025-03-11 07:01:26,527 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 86/130 [2025-03-11 07:01:26,556 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 87/130 [2025-03-11 07:01:26,584 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 88/130 [2025-03-11 07:01:26,610 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 89/130 [2025-03-11 07:01:26,644 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 90/130 [2025-03-11 07:01:26,673 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 91/130 [2025-03-11 07:01:26,701 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 92/130 [2025-03-11 07:01:26,749 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 93/130 [2025-03-11 07:01:26,776 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 94/130 [2025-03-11 07:01:26,804 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 95/130 [2025-03-11 07:01:26,834 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 96/130 [2025-03-11 07:01:26,862 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 97/130 [2025-03-11 07:01:26,889 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 98/130 [2025-03-11 07:01:26,917 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 99/130 [2025-03-11 07:01:26,944 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 100/130 [2025-03-11 07:01:26,972 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 101/130 [2025-03-11 07:01:27,006 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 102/130 [2025-03-11 07:01:27,034 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 103/130 [2025-03-11 07:01:27,061 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 104/130 [2025-03-11 07:01:27,089 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 105/130 [2025-03-11 07:01:27,124 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 106/130 [2025-03-11 07:01:27,152 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 107/130 [2025-03-11 07:01:27,180 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 108/130 [2025-03-11 07:01:27,208 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 109/130 [2025-03-11 07:01:27,235 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 110/130 [2025-03-11 07:01:27,267 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 111/130 [2025-03-11 07:01:27,306 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 112/130 [2025-03-11 07:01:27,334 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 113/130 [2025-03-11 07:01:27,362 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 114/130 [2025-03-11 07:01:27,390 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 115/130 [2025-03-11 07:01:27,419 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 116/130 [2025-03-11 07:01:27,449 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 117/130 [2025-03-11 07:01:27,477 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 118/130 [2025-03-11 07:01:27,505 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 119/130 [2025-03-11 07:01:27,533 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 120/130 [2025-03-11 07:01:27,560 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 121/130 [2025-03-11 07:01:27,588 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 122/130 [2025-03-11 07:01:27,619 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 123/130 [2025-03-11 07:01:27,647 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 124/130 [2025-03-11 07:01:27,684 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 125/130 [2025-03-11 07:01:27,712 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 126/130 [2025-03-11 07:01:27,739 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 127/130 [2025-03-11 07:01:27,766 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 128/130 [2025-03-11 07:01:27,801 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 129/130 [2025-03-11 07:01:27,946 INFO test.py line 291 2389709] Test: scene0426_02 [68/78]-125149 Batch 3.858 (4.594) Accuracy 0.7351 (0.3884) mIoU 0.2567 (0.3088) [2025-03-11 07:01:28,006 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 0/122 [2025-03-11 07:01:28,054 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 1/122 [2025-03-11 07:01:28,077 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 2/122 [2025-03-11 07:01:28,100 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 3/122 [2025-03-11 07:01:28,123 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 4/122 [2025-03-11 07:01:28,147 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 5/122 [2025-03-11 07:01:28,170 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 6/122 [2025-03-11 07:01:28,193 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 7/122 [2025-03-11 07:01:28,217 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 8/122 [2025-03-11 07:01:28,241 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 9/122 [2025-03-11 07:01:28,264 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 10/122 [2025-03-11 07:01:28,287 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 11/122 [2025-03-11 07:01:28,310 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 12/122 [2025-03-11 07:01:28,333 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 13/122 [2025-03-11 07:01:28,357 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 14/122 [2025-03-11 07:01:28,381 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 15/122 [2025-03-11 07:01:28,405 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 16/122 [2025-03-11 07:01:28,437 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 17/122 [2025-03-11 07:01:28,460 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 18/122 [2025-03-11 07:01:28,482 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 19/122 [2025-03-11 07:01:28,505 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 20/122 [2025-03-11 07:01:28,532 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 21/122 [2025-03-11 07:01:28,555 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 22/122 [2025-03-11 07:01:28,578 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 23/122 [2025-03-11 07:01:28,602 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 24/122 [2025-03-11 07:01:28,624 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 25/122 [2025-03-11 07:01:28,653 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 26/122 [2025-03-11 07:01:28,677 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 27/122 [2025-03-11 07:01:28,701 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 28/122 [2025-03-11 07:01:28,732 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 29/122 [2025-03-11 07:01:28,758 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 30/122 [2025-03-11 07:01:28,781 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 31/122 [2025-03-11 07:01:28,805 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 32/122 [2025-03-11 07:01:28,829 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 33/122 [2025-03-11 07:01:28,865 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 34/122 [2025-03-11 07:01:28,889 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 35/122 [2025-03-11 07:01:28,912 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 36/122 [2025-03-11 07:01:28,937 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 37/122 [2025-03-11 07:01:28,960 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 38/122 [2025-03-11 07:01:28,989 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 39/122 [2025-03-11 07:01:29,012 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 40/122 [2025-03-11 07:01:29,035 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 41/122 [2025-03-11 07:01:29,058 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 42/122 [2025-03-11 07:01:29,080 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 43/122 [2025-03-11 07:01:29,105 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 44/122 [2025-03-11 07:01:29,128 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 45/122 [2025-03-11 07:01:29,152 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 46/122 [2025-03-11 07:01:29,176 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 47/122 [2025-03-11 07:01:29,200 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 48/122 [2025-03-11 07:01:29,224 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 49/122 [2025-03-11 07:01:29,253 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 50/122 [2025-03-11 07:01:29,276 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 51/122 [2025-03-11 07:01:29,298 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 52/122 [2025-03-11 07:01:29,320 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 53/122 [2025-03-11 07:01:29,343 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 54/122 [2025-03-11 07:01:29,366 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 55/122 [2025-03-11 07:01:29,391 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 56/122 [2025-03-11 07:01:29,414 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 57/122 [2025-03-11 07:01:29,437 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 58/122 [2025-03-11 07:01:29,461 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 59/122 [2025-03-11 07:01:29,484 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 60/122 [2025-03-11 07:01:29,507 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 61/122 [2025-03-11 07:01:29,530 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 62/122 [2025-03-11 07:01:29,557 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 63/122 [2025-03-11 07:01:29,579 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 64/122 [2025-03-11 07:01:29,602 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 65/122 [2025-03-11 07:01:29,624 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 66/122 [2025-03-11 07:01:29,647 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 67/122 [2025-03-11 07:01:29,669 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 68/122 [2025-03-11 07:01:29,692 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 69/122 [2025-03-11 07:01:29,720 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 70/122 [2025-03-11 07:01:29,748 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 71/122 [2025-03-11 07:01:29,771 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 72/122 [2025-03-11 07:01:29,795 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 73/122 [2025-03-11 07:01:29,818 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 74/122 [2025-03-11 07:01:29,848 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 75/122 [2025-03-11 07:01:29,871 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 76/122 [2025-03-11 07:01:29,893 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 77/122 [2025-03-11 07:01:29,914 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 78/122 [2025-03-11 07:01:29,937 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 79/122 [2025-03-11 07:01:29,961 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 80/122 [2025-03-11 07:01:29,984 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 81/122 [2025-03-11 07:01:30,006 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 82/122 [2025-03-11 07:01:30,029 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 83/122 [2025-03-11 07:01:30,051 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 84/122 [2025-03-11 07:01:30,076 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 85/122 [2025-03-11 07:01:30,100 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 86/122 [2025-03-11 07:01:30,123 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 87/122 [2025-03-11 07:01:30,147 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 88/122 [2025-03-11 07:01:30,171 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 89/122 [2025-03-11 07:01:30,195 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 90/122 [2025-03-11 07:01:30,219 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 91/122 [2025-03-11 07:01:30,246 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 92/122 [2025-03-11 07:01:30,269 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 93/122 [2025-03-11 07:01:30,293 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 94/122 [2025-03-11 07:01:30,317 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 95/122 [2025-03-11 07:01:30,339 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 96/122 [2025-03-11 07:01:30,363 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 97/122 [2025-03-11 07:01:30,387 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 98/122 [2025-03-11 07:01:30,410 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 99/122 [2025-03-11 07:01:30,433 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 100/122 [2025-03-11 07:01:30,457 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 101/122 [2025-03-11 07:01:30,480 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 102/122 [2025-03-11 07:01:30,508 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 103/122 [2025-03-11 07:01:30,535 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 104/122 [2025-03-11 07:01:30,560 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 105/122 [2025-03-11 07:01:30,583 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 106/122 [2025-03-11 07:01:30,606 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 107/122 [2025-03-11 07:01:30,628 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 108/122 [2025-03-11 07:01:30,652 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 109/122 [2025-03-11 07:01:30,676 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 110/122 [2025-03-11 07:01:30,699 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 111/122 [2025-03-11 07:01:30,722 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 112/122 [2025-03-11 07:01:30,745 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 113/122 [2025-03-11 07:01:30,771 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 114/122 [2025-03-11 07:01:30,797 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 115/122 [2025-03-11 07:01:30,822 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 116/122 [2025-03-11 07:01:30,845 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 117/122 [2025-03-11 07:01:30,869 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 118/122 [2025-03-11 07:01:30,892 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 119/122 [2025-03-11 07:01:30,916 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 120/122 [2025-03-11 07:01:30,947 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 121/122 [2025-03-11 07:01:31,032 INFO test.py line 291 2389709] Test: scene0355_01 [69/78]-67623 Batch 3.085 (4.572) Accuracy 0.9609 (0.3885) mIoU 0.6179 (0.3088) [2025-03-11 07:01:31,077 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 0/142 [2025-03-11 07:01:31,101 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 1/142 [2025-03-11 07:01:31,125 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 2/142 [2025-03-11 07:01:31,150 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 3/142 [2025-03-11 07:01:31,175 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 4/142 [2025-03-11 07:01:31,198 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 5/142 [2025-03-11 07:01:31,222 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 6/142 [2025-03-11 07:01:31,245 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 7/142 [2025-03-11 07:01:31,268 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 8/142 [2025-03-11 07:01:31,292 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 9/142 [2025-03-11 07:01:31,316 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 10/142 [2025-03-11 07:01:31,340 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 11/142 [2025-03-11 07:01:31,363 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 12/142 [2025-03-11 07:01:31,386 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 13/142 [2025-03-11 07:01:31,417 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 14/142 [2025-03-11 07:01:31,441 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 15/142 [2025-03-11 07:01:31,465 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 16/142 [2025-03-11 07:01:31,496 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 17/142 [2025-03-11 07:01:31,544 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 18/142 [2025-03-11 07:01:31,579 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 19/142 [2025-03-11 07:01:31,612 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 20/142 [2025-03-11 07:01:31,642 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 21/142 [2025-03-11 07:01:31,673 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 22/142 [2025-03-11 07:01:31,701 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 23/142 [2025-03-11 07:01:31,729 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 24/142 [2025-03-11 07:01:31,763 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 25/142 [2025-03-11 07:01:31,791 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 26/142 [2025-03-11 07:01:31,829 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 27/142 [2025-03-11 07:01:31,854 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 28/142 [2025-03-11 07:01:31,878 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 29/142 [2025-03-11 07:01:31,900 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 30/142 [2025-03-11 07:01:31,924 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 31/142 [2025-03-11 07:01:31,951 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 32/142 [2025-03-11 07:01:31,977 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 33/142 [2025-03-11 07:01:32,008 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 34/142 [2025-03-11 07:01:32,037 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 35/142 [2025-03-11 07:01:32,066 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 36/142 [2025-03-11 07:01:32,094 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 37/142 [2025-03-11 07:01:32,119 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 38/142 [2025-03-11 07:01:32,143 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 39/142 [2025-03-11 07:01:32,167 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 40/142 [2025-03-11 07:01:32,190 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 41/142 [2025-03-11 07:01:32,214 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 42/142 [2025-03-11 07:01:32,237 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 43/142 [2025-03-11 07:01:32,260 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 44/142 [2025-03-11 07:01:32,285 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 45/142 [2025-03-11 07:01:32,310 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 46/142 [2025-03-11 07:01:32,334 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 47/142 [2025-03-11 07:01:32,366 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 48/142 [2025-03-11 07:01:32,398 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 49/142 [2025-03-11 07:01:32,427 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 50/142 [2025-03-11 07:01:32,464 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 51/142 [2025-03-11 07:01:32,488 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 52/142 [2025-03-11 07:01:32,514 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 53/142 [2025-03-11 07:01:32,539 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 54/142 [2025-03-11 07:01:32,563 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 55/142 [2025-03-11 07:01:32,587 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 56/142 [2025-03-11 07:01:32,614 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 57/142 [2025-03-11 07:01:32,639 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 58/142 [2025-03-11 07:01:32,666 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 59/142 [2025-03-11 07:01:32,694 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 60/142 [2025-03-11 07:01:32,722 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 61/142 [2025-03-11 07:01:32,752 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 62/142 [2025-03-11 07:01:32,790 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 63/142 [2025-03-11 07:01:32,834 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 64/142 [2025-03-11 07:01:32,878 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 65/142 [2025-03-11 07:01:32,922 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 66/142 [2025-03-11 07:01:32,966 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 67/142 [2025-03-11 07:01:33,009 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 68/142 [2025-03-11 07:01:33,055 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 69/142 [2025-03-11 07:01:33,096 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 70/142 [2025-03-11 07:01:33,136 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 71/142 [2025-03-11 07:01:33,169 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 72/142 [2025-03-11 07:01:33,198 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 73/142 [2025-03-11 07:01:33,230 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 74/142 [2025-03-11 07:01:33,264 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 75/142 [2025-03-11 07:01:33,289 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 76/142 [2025-03-11 07:01:33,313 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 77/142 [2025-03-11 07:01:33,338 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 78/142 [2025-03-11 07:01:33,362 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 79/142 [2025-03-11 07:01:33,402 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 80/142 [2025-03-11 07:01:33,439 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 81/142 [2025-03-11 07:01:33,476 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 82/142 [2025-03-11 07:01:33,510 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 83/142 [2025-03-11 07:01:33,561 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 84/142 [2025-03-11 07:01:33,599 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 85/142 [2025-03-11 07:01:33,623 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 86/142 [2025-03-11 07:01:33,646 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 87/142 [2025-03-11 07:01:33,670 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 88/142 [2025-03-11 07:01:33,698 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 89/142 [2025-03-11 07:01:33,733 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 90/142 [2025-03-11 07:01:33,761 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 91/142 [2025-03-11 07:01:33,785 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 92/142 [2025-03-11 07:01:33,809 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 93/142 [2025-03-11 07:01:33,849 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 94/142 [2025-03-11 07:01:33,890 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 95/142 [2025-03-11 07:01:33,930 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 96/142 [2025-03-11 07:01:33,954 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 97/142 [2025-03-11 07:01:33,977 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 98/142 [2025-03-11 07:01:34,001 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 99/142 [2025-03-11 07:01:34,024 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 100/142 [2025-03-11 07:01:34,047 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 101/142 [2025-03-11 07:01:34,073 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 102/142 [2025-03-11 07:01:34,114 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 103/142 [2025-03-11 07:01:34,155 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 104/142 [2025-03-11 07:01:34,193 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 105/142 [2025-03-11 07:01:34,217 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 106/142 [2025-03-11 07:01:34,241 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 107/142 [2025-03-11 07:01:34,265 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 108/142 [2025-03-11 07:01:34,291 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 109/142 [2025-03-11 07:01:34,315 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 110/142 [2025-03-11 07:01:34,339 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 111/142 [2025-03-11 07:01:34,368 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 112/142 [2025-03-11 07:01:34,413 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 113/142 [2025-03-11 07:01:34,436 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 114/142 [2025-03-11 07:01:34,460 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 115/142 [2025-03-11 07:01:34,484 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 116/142 [2025-03-11 07:01:34,509 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 117/142 [2025-03-11 07:01:34,535 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 118/142 [2025-03-11 07:01:34,561 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 119/142 [2025-03-11 07:01:34,586 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 120/142 [2025-03-11 07:01:34,611 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 121/142 [2025-03-11 07:01:34,636 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 122/142 [2025-03-11 07:01:34,663 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 123/142 [2025-03-11 07:01:34,688 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 124/142 [2025-03-11 07:01:34,713 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 125/142 [2025-03-11 07:01:34,738 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 126/142 [2025-03-11 07:01:34,772 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 127/142 [2025-03-11 07:01:34,796 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 128/142 [2025-03-11 07:01:34,820 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 129/142 [2025-03-11 07:01:34,843 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 130/142 [2025-03-11 07:01:34,877 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 131/142 [2025-03-11 07:01:34,908 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 132/142 [2025-03-11 07:01:34,933 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 133/142 [2025-03-11 07:01:34,959 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 134/142 [2025-03-11 07:01:34,982 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 135/142 [2025-03-11 07:01:35,005 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 136/142 [2025-03-11 07:01:35,030 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 137/142 [2025-03-11 07:01:35,055 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 138/142 [2025-03-11 07:01:35,080 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 139/142 [2025-03-11 07:01:35,105 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 140/142 [2025-03-11 07:01:35,131 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 141/142 [2025-03-11 07:01:35,223 INFO test.py line 291 2389709] Test: scene0607_01 [70/78]-78387 Batch 4.190 (4.566) Accuracy 0.9015 (0.3925) mIoU 0.4684 (0.3112) [2025-03-11 07:01:35,307 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 0/130 [2025-03-11 07:01:35,342 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 1/130 [2025-03-11 07:01:35,378 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 2/130 [2025-03-11 07:01:35,414 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 3/130 [2025-03-11 07:01:35,450 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 4/130 [2025-03-11 07:01:35,485 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 5/130 [2025-03-11 07:01:35,526 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 6/130 [2025-03-11 07:01:35,563 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 7/130 [2025-03-11 07:01:35,598 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 8/130 [2025-03-11 07:01:35,635 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 9/130 [2025-03-11 07:01:35,672 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 10/130 [2025-03-11 07:01:35,707 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 11/130 [2025-03-11 07:01:35,743 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 12/130 [2025-03-11 07:01:35,781 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 13/130 [2025-03-11 07:01:35,818 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 14/130 [2025-03-11 07:01:35,854 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 15/130 [2025-03-11 07:01:35,890 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 16/130 [2025-03-11 07:01:35,926 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 17/130 [2025-03-11 07:01:35,963 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 18/130 [2025-03-11 07:01:35,998 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 19/130 [2025-03-11 07:01:36,034 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 20/130 [2025-03-11 07:01:36,070 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 21/130 [2025-03-11 07:01:36,106 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 22/130 [2025-03-11 07:01:36,141 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 23/130 [2025-03-11 07:01:36,181 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 24/130 [2025-03-11 07:01:36,217 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 25/130 [2025-03-11 07:01:36,252 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 26/130 [2025-03-11 07:01:36,290 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 27/130 [2025-03-11 07:01:36,326 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 28/130 [2025-03-11 07:01:36,361 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 29/130 [2025-03-11 07:01:36,403 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 30/130 [2025-03-11 07:01:36,448 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 31/130 [2025-03-11 07:01:36,500 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 32/130 [2025-03-11 07:01:36,558 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 33/130 [2025-03-11 07:01:36,623 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 34/130 [2025-03-11 07:01:36,679 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 35/130 [2025-03-11 07:01:36,733 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 36/130 [2025-03-11 07:01:36,779 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 37/130 [2025-03-11 07:01:36,820 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 38/130 [2025-03-11 07:01:36,860 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 39/130 [2025-03-11 07:01:36,900 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 40/130 [2025-03-11 07:01:36,940 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 41/130 [2025-03-11 07:01:36,983 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 42/130 [2025-03-11 07:01:37,019 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 43/130 [2025-03-11 07:01:37,058 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 44/130 [2025-03-11 07:01:37,093 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 45/130 [2025-03-11 07:01:37,151 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 46/130 [2025-03-11 07:01:37,187 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 47/130 [2025-03-11 07:01:37,223 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 48/130 [2025-03-11 07:01:37,261 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 49/130 [2025-03-11 07:01:37,295 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 50/130 [2025-03-11 07:01:37,330 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 51/130 [2025-03-11 07:01:37,364 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 52/130 [2025-03-11 07:01:37,398 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 53/130 [2025-03-11 07:01:37,432 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 54/130 [2025-03-11 07:01:37,466 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 55/130 [2025-03-11 07:01:37,501 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 56/130 [2025-03-11 07:01:37,545 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 57/130 [2025-03-11 07:01:37,579 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 58/130 [2025-03-11 07:01:37,615 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 59/130 [2025-03-11 07:01:37,648 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 60/130 [2025-03-11 07:01:37,682 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 61/130 [2025-03-11 07:01:37,717 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 62/130 [2025-03-11 07:01:37,751 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 63/130 [2025-03-11 07:01:37,785 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 64/130 [2025-03-11 07:01:37,819 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 65/130 [2025-03-11 07:01:37,853 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 66/130 [2025-03-11 07:01:37,888 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 67/130 [2025-03-11 07:01:37,922 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 68/130 [2025-03-11 07:01:37,956 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 69/130 [2025-03-11 07:01:37,991 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 70/130 [2025-03-11 07:01:38,026 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 71/130 [2025-03-11 07:01:38,060 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 72/130 [2025-03-11 07:01:38,095 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 73/130 [2025-03-11 07:01:38,139 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 74/130 [2025-03-11 07:01:38,173 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 75/130 [2025-03-11 07:01:38,219 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 76/130 [2025-03-11 07:01:38,284 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 77/130 [2025-03-11 07:01:38,323 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 78/130 [2025-03-11 07:01:38,357 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 79/130 [2025-03-11 07:01:38,391 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 80/130 [2025-03-11 07:01:38,425 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 81/130 [2025-03-11 07:01:38,459 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 82/130 [2025-03-11 07:01:38,494 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 83/130 [2025-03-11 07:01:38,544 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 84/130 [2025-03-11 07:01:38,592 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 85/130 [2025-03-11 07:01:38,628 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 86/130 [2025-03-11 07:01:38,664 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 87/130 [2025-03-11 07:01:38,700 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 88/130 [2025-03-11 07:01:38,737 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 89/130 [2025-03-11 07:01:38,785 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 90/130 [2025-03-11 07:01:38,829 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 91/130 [2025-03-11 07:01:38,865 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 92/130 [2025-03-11 07:01:38,901 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 93/130 [2025-03-11 07:01:38,938 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 94/130 [2025-03-11 07:01:38,973 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 95/130 [2025-03-11 07:01:39,014 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 96/130 [2025-03-11 07:01:39,051 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 97/130 [2025-03-11 07:01:39,088 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 98/130 [2025-03-11 07:01:39,125 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 99/130 [2025-03-11 07:01:39,160 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 100/130 [2025-03-11 07:01:39,196 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 101/130 [2025-03-11 07:01:39,233 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 102/130 [2025-03-11 07:01:39,269 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 103/130 [2025-03-11 07:01:39,306 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 104/130 [2025-03-11 07:01:39,345 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 105/130 [2025-03-11 07:01:39,381 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 106/130 [2025-03-11 07:01:39,418 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 107/130 [2025-03-11 07:01:39,454 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 108/130 [2025-03-11 07:01:39,492 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 109/130 [2025-03-11 07:01:39,528 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 110/130 [2025-03-11 07:01:39,565 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 111/130 [2025-03-11 07:01:39,601 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 112/130 [2025-03-11 07:01:39,639 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 113/130 [2025-03-11 07:01:39,676 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 114/130 [2025-03-11 07:01:39,712 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 115/130 [2025-03-11 07:01:39,748 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 116/130 [2025-03-11 07:01:39,783 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 117/130 [2025-03-11 07:01:39,818 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 118/130 [2025-03-11 07:01:39,853 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 119/130 [2025-03-11 07:01:39,887 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 120/130 [2025-03-11 07:01:39,922 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 121/130 [2025-03-11 07:01:39,957 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 122/130 [2025-03-11 07:01:39,991 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 123/130 [2025-03-11 07:01:40,027 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 124/130 [2025-03-11 07:01:40,061 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 125/130 [2025-03-11 07:01:40,096 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 126/130 [2025-03-11 07:01:40,131 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 127/130 [2025-03-11 07:01:40,168 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 128/130 [2025-03-11 07:01:40,202 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 129/130 [2025-03-11 07:01:40,437 INFO test.py line 291 2389709] Test: scene0203_01 [71/78]-206210 Batch 5.214 (4.576) Accuracy 0.6222 (0.3921) mIoU 0.2350 (0.3104) [2025-03-11 07:01:40,468 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 0/136 [2025-03-11 07:01:40,490 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 1/136 [2025-03-11 07:01:40,512 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 2/136 [2025-03-11 07:01:40,534 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 3/136 [2025-03-11 07:01:40,556 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 4/136 [2025-03-11 07:01:40,578 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 5/136 [2025-03-11 07:01:40,599 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 6/136 [2025-03-11 07:01:40,621 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 7/136 [2025-03-11 07:01:40,643 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 8/136 [2025-03-11 07:01:40,664 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 9/136 [2025-03-11 07:01:40,686 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 10/136 [2025-03-11 07:01:40,707 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 11/136 [2025-03-11 07:01:40,729 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 12/136 [2025-03-11 07:01:40,750 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 13/136 [2025-03-11 07:01:40,772 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 14/136 [2025-03-11 07:01:40,793 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 15/136 [2025-03-11 07:01:40,816 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 16/136 [2025-03-11 07:01:40,837 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 17/136 [2025-03-11 07:01:40,858 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 18/136 [2025-03-11 07:01:40,880 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 19/136 [2025-03-11 07:01:40,901 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 20/136 [2025-03-11 07:01:40,922 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 21/136 [2025-03-11 07:01:40,943 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 22/136 [2025-03-11 07:01:40,964 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 23/136 [2025-03-11 07:01:40,986 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 24/136 [2025-03-11 07:01:41,007 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 25/136 [2025-03-11 07:01:41,028 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 26/136 [2025-03-11 07:01:41,050 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 27/136 [2025-03-11 07:01:41,071 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 28/136 [2025-03-11 07:01:41,093 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 29/136 [2025-03-11 07:01:41,114 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 30/136 [2025-03-11 07:01:41,136 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 31/136 [2025-03-11 07:01:41,158 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 32/136 [2025-03-11 07:01:41,179 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 33/136 [2025-03-11 07:01:41,201 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 34/136 [2025-03-11 07:01:41,222 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 35/136 [2025-03-11 07:01:41,244 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 36/136 [2025-03-11 07:01:41,269 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 37/136 [2025-03-11 07:01:41,291 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 38/136 [2025-03-11 07:01:41,318 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 39/136 [2025-03-11 07:01:41,339 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 40/136 [2025-03-11 07:01:41,366 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 41/136 [2025-03-11 07:01:41,388 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 42/136 [2025-03-11 07:01:41,409 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 43/136 [2025-03-11 07:01:41,439 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 44/136 [2025-03-11 07:01:41,460 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 45/136 [2025-03-11 07:01:41,484 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 46/136 [2025-03-11 07:01:41,505 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 47/136 [2025-03-11 07:01:41,527 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 48/136 [2025-03-11 07:01:41,548 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 49/136 [2025-03-11 07:01:41,570 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 50/136 [2025-03-11 07:01:41,592 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 51/136 [2025-03-11 07:01:41,613 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 52/136 [2025-03-11 07:01:41,635 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 53/136 [2025-03-11 07:01:41,657 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 54/136 [2025-03-11 07:01:41,678 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 55/136 [2025-03-11 07:01:41,700 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 56/136 [2025-03-11 07:01:41,722 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 57/136 [2025-03-11 07:01:41,743 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 58/136 [2025-03-11 07:01:41,765 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 59/136 [2025-03-11 07:01:41,787 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 60/136 [2025-03-11 07:01:41,808 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 61/136 [2025-03-11 07:01:41,830 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 62/136 [2025-03-11 07:01:41,851 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 63/136 [2025-03-11 07:01:41,873 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 64/136 [2025-03-11 07:01:41,894 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 65/136 [2025-03-11 07:01:41,915 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 66/136 [2025-03-11 07:01:41,946 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 67/136 [2025-03-11 07:01:41,967 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 68/136 [2025-03-11 07:01:41,989 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 69/136 [2025-03-11 07:01:42,011 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 70/136 [2025-03-11 07:01:42,032 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 71/136 [2025-03-11 07:01:42,053 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 72/136 [2025-03-11 07:01:42,076 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 73/136 [2025-03-11 07:01:42,099 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 74/136 [2025-03-11 07:01:42,121 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 75/136 [2025-03-11 07:01:42,141 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 76/136 [2025-03-11 07:01:42,162 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 77/136 [2025-03-11 07:01:42,183 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 78/136 [2025-03-11 07:01:42,206 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 79/136 [2025-03-11 07:01:42,228 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 80/136 [2025-03-11 07:01:42,250 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 81/136 [2025-03-11 07:01:42,289 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 82/136 [2025-03-11 07:01:42,310 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 83/136 [2025-03-11 07:01:42,350 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 84/136 [2025-03-11 07:01:42,372 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 85/136 [2025-03-11 07:01:42,393 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 86/136 [2025-03-11 07:01:42,415 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 87/136 [2025-03-11 07:01:42,437 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 88/136 [2025-03-11 07:01:42,458 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 89/136 [2025-03-11 07:01:42,481 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 90/136 [2025-03-11 07:01:42,503 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 91/136 [2025-03-11 07:01:42,526 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 92/136 [2025-03-11 07:01:42,548 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 93/136 [2025-03-11 07:01:42,570 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 94/136 [2025-03-11 07:01:42,591 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 95/136 [2025-03-11 07:01:42,631 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 96/136 [2025-03-11 07:01:42,655 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 97/136 [2025-03-11 07:01:42,675 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 98/136 [2025-03-11 07:01:42,696 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 99/136 [2025-03-11 07:01:42,717 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 100/136 [2025-03-11 07:01:42,737 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 101/136 [2025-03-11 07:01:42,759 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 102/136 [2025-03-11 07:01:42,780 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 103/136 [2025-03-11 07:01:42,800 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 104/136 [2025-03-11 07:01:42,825 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 105/136 [2025-03-11 07:01:42,846 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 106/136 [2025-03-11 07:01:42,867 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 107/136 [2025-03-11 07:01:42,887 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 108/136 [2025-03-11 07:01:42,907 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 109/136 [2025-03-11 07:01:42,930 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 110/136 [2025-03-11 07:01:42,951 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 111/136 [2025-03-11 07:01:42,972 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 112/136 [2025-03-11 07:01:42,993 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 113/136 [2025-03-11 07:01:43,013 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 114/136 [2025-03-11 07:01:43,035 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 115/136 [2025-03-11 07:01:43,058 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 116/136 [2025-03-11 07:01:43,081 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 117/136 [2025-03-11 07:01:43,103 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 118/136 [2025-03-11 07:01:43,124 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 119/136 [2025-03-11 07:01:43,146 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 120/136 [2025-03-11 07:01:43,168 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 121/136 [2025-03-11 07:01:43,191 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 122/136 [2025-03-11 07:01:43,212 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 123/136 [2025-03-11 07:01:43,240 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 124/136 [2025-03-11 07:01:43,274 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 125/136 [2025-03-11 07:01:43,306 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 126/136 [2025-03-11 07:01:43,335 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 127/136 [2025-03-11 07:01:43,376 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 128/136 [2025-03-11 07:01:43,418 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 129/136 [2025-03-11 07:01:43,459 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 130/136 [2025-03-11 07:01:43,491 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 131/136 [2025-03-11 07:01:43,535 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 132/136 [2025-03-11 07:01:43,582 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 133/136 [2025-03-11 07:01:43,621 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 134/136 [2025-03-11 07:01:43,664 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 135/136 [2025-03-11 07:01:43,711 INFO test.py line 291 2389709] Test: scene0684_01 [72/78]-39474 Batch 3.274 (4.557) Accuracy 0.7598 (0.3920) mIoU 0.2770 (0.3102) [2025-03-11 07:01:43,764 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 0/117 [2025-03-11 07:01:43,804 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 1/117 [2025-03-11 07:01:43,833 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 2/117 [2025-03-11 07:01:43,864 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 3/117 [2025-03-11 07:01:43,903 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 4/117 [2025-03-11 07:01:43,942 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 5/117 [2025-03-11 07:01:43,990 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 6/117 [2025-03-11 07:01:44,019 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 7/117 [2025-03-11 07:01:44,045 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 8/117 [2025-03-11 07:01:44,079 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 9/117 [2025-03-11 07:01:44,106 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 10/117 [2025-03-11 07:01:44,130 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 11/117 [2025-03-11 07:01:44,156 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 12/117 [2025-03-11 07:01:44,180 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 13/117 [2025-03-11 07:01:44,204 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 14/117 [2025-03-11 07:01:44,231 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 15/117 [2025-03-11 07:01:44,256 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 16/117 [2025-03-11 07:01:44,281 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 17/117 [2025-03-11 07:01:44,306 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 18/117 [2025-03-11 07:01:44,332 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 19/117 [2025-03-11 07:01:44,356 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 20/117 [2025-03-11 07:01:44,380 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 21/117 [2025-03-11 07:01:44,405 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 22/117 [2025-03-11 07:01:44,436 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 23/117 [2025-03-11 07:01:44,464 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 24/117 [2025-03-11 07:01:44,490 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 25/117 [2025-03-11 07:01:44,523 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 26/117 [2025-03-11 07:01:44,548 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 27/117 [2025-03-11 07:01:44,574 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 28/117 [2025-03-11 07:01:44,598 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 29/117 [2025-03-11 07:01:44,622 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 30/117 [2025-03-11 07:01:44,658 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 31/117 [2025-03-11 07:01:44,682 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 32/117 [2025-03-11 07:01:44,706 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 33/117 [2025-03-11 07:01:44,730 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 34/117 [2025-03-11 07:01:44,761 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 35/117 [2025-03-11 07:01:44,786 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 36/117 [2025-03-11 07:01:44,809 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 37/117 [2025-03-11 07:01:44,833 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 38/117 [2025-03-11 07:01:44,859 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 39/117 [2025-03-11 07:01:44,883 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 40/117 [2025-03-11 07:01:44,907 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 41/117 [2025-03-11 07:01:44,932 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 42/117 [2025-03-11 07:01:44,957 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 43/117 [2025-03-11 07:01:44,981 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 44/117 [2025-03-11 07:01:45,005 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 45/117 [2025-03-11 07:01:45,032 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 46/117 [2025-03-11 07:01:45,057 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 47/117 [2025-03-11 07:01:45,081 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 48/117 [2025-03-11 07:01:45,105 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 49/117 [2025-03-11 07:01:45,128 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 50/117 [2025-03-11 07:01:45,152 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 51/117 [2025-03-11 07:01:45,175 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 52/117 [2025-03-11 07:01:45,203 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 53/117 [2025-03-11 07:01:45,226 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 54/117 [2025-03-11 07:01:45,250 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 55/117 [2025-03-11 07:01:45,272 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 56/117 [2025-03-11 07:01:45,297 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 57/117 [2025-03-11 07:01:45,320 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 58/117 [2025-03-11 07:01:45,342 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 59/117 [2025-03-11 07:01:45,366 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 60/117 [2025-03-11 07:01:45,388 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 61/117 [2025-03-11 07:01:45,412 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 62/117 [2025-03-11 07:01:45,434 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 63/117 [2025-03-11 07:01:45,458 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 64/117 [2025-03-11 07:01:45,481 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 65/117 [2025-03-11 07:01:45,505 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 66/117 [2025-03-11 07:01:45,528 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 67/117 [2025-03-11 07:01:45,552 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 68/117 [2025-03-11 07:01:45,575 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 69/117 [2025-03-11 07:01:45,598 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 70/117 [2025-03-11 07:01:45,622 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 71/117 [2025-03-11 07:01:45,646 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 72/117 [2025-03-11 07:01:45,670 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 73/117 [2025-03-11 07:01:45,694 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 74/117 [2025-03-11 07:01:45,720 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 75/117 [2025-03-11 07:01:45,744 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 76/117 [2025-03-11 07:01:45,769 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 77/117 [2025-03-11 07:01:45,792 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 78/117 [2025-03-11 07:01:45,819 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 79/117 [2025-03-11 07:01:45,843 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 80/117 [2025-03-11 07:01:45,868 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 81/117 [2025-03-11 07:01:45,890 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 82/117 [2025-03-11 07:01:45,914 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 83/117 [2025-03-11 07:01:45,937 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 84/117 [2025-03-11 07:01:45,962 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 85/117 [2025-03-11 07:01:45,985 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 86/117 [2025-03-11 07:01:46,008 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 87/117 [2025-03-11 07:01:46,031 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 88/117 [2025-03-11 07:01:46,054 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 89/117 [2025-03-11 07:01:46,082 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 90/117 [2025-03-11 07:01:46,105 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 91/117 [2025-03-11 07:01:46,128 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 92/117 [2025-03-11 07:01:46,151 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 93/117 [2025-03-11 07:01:46,176 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 94/117 [2025-03-11 07:01:46,199 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 95/117 [2025-03-11 07:01:46,223 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 96/117 [2025-03-11 07:01:46,246 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 97/117 [2025-03-11 07:01:46,270 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 98/117 [2025-03-11 07:01:46,292 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 99/117 [2025-03-11 07:01:46,317 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 100/117 [2025-03-11 07:01:46,340 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 101/117 [2025-03-11 07:01:46,364 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 102/117 [2025-03-11 07:01:46,388 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 103/117 [2025-03-11 07:01:46,412 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 104/117 [2025-03-11 07:01:46,436 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 105/117 [2025-03-11 07:01:46,461 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 106/117 [2025-03-11 07:01:46,484 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 107/117 [2025-03-11 07:01:46,507 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 108/117 [2025-03-11 07:01:46,530 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 109/117 [2025-03-11 07:01:46,554 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 110/117 [2025-03-11 07:01:46,577 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 111/117 [2025-03-11 07:01:46,613 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 112/117 [2025-03-11 07:01:46,635 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 113/117 [2025-03-11 07:01:46,669 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 114/117 [2025-03-11 07:01:46,704 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 115/117 [2025-03-11 07:01:46,735 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 116/117 [2025-03-11 07:01:46,845 INFO test.py line 291 2389709] Test: scene0686_02 [73/78]-84543 Batch 3.134 (4.538) Accuracy 0.8604 (0.3927) mIoU 0.6667 (0.3107) [2025-03-11 07:01:46,927 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 0/147 [2025-03-11 07:01:46,985 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 1/147 [2025-03-11 07:01:47,023 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 2/147 [2025-03-11 07:01:47,059 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 3/147 [2025-03-11 07:01:47,099 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 4/147 [2025-03-11 07:01:47,136 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 5/147 [2025-03-11 07:01:47,197 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 6/147 [2025-03-11 07:01:47,230 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 7/147 [2025-03-11 07:01:47,264 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 8/147 [2025-03-11 07:01:47,297 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 9/147 [2025-03-11 07:01:47,331 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 10/147 [2025-03-11 07:01:47,369 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 11/147 [2025-03-11 07:01:47,404 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 12/147 [2025-03-11 07:01:47,439 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 13/147 [2025-03-11 07:01:47,472 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 14/147 [2025-03-11 07:01:47,507 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 15/147 [2025-03-11 07:01:47,549 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 16/147 [2025-03-11 07:01:47,582 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 17/147 [2025-03-11 07:01:47,615 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 18/147 [2025-03-11 07:01:47,650 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 19/147 [2025-03-11 07:01:47,683 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 20/147 [2025-03-11 07:01:47,740 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 21/147 [2025-03-11 07:01:47,799 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 22/147 [2025-03-11 07:01:47,862 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 23/147 [2025-03-11 07:01:47,907 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 24/147 [2025-03-11 07:01:47,939 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 25/147 [2025-03-11 07:01:47,978 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 26/147 [2025-03-11 07:01:48,010 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 27/147 [2025-03-11 07:01:48,042 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 28/147 [2025-03-11 07:01:48,076 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 29/147 [2025-03-11 07:01:48,109 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 30/147 [2025-03-11 07:01:48,142 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 31/147 [2025-03-11 07:01:48,174 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 32/147 [2025-03-11 07:01:48,207 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 33/147 [2025-03-11 07:01:48,239 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 34/147 [2025-03-11 07:01:48,272 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 35/147 [2025-03-11 07:01:48,304 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 36/147 [2025-03-11 07:01:48,336 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 37/147 [2025-03-11 07:01:48,403 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 38/147 [2025-03-11 07:01:48,436 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 39/147 [2025-03-11 07:01:48,469 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 40/147 [2025-03-11 07:01:48,505 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 41/147 [2025-03-11 07:01:48,547 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 42/147 [2025-03-11 07:01:48,581 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 43/147 [2025-03-11 07:01:48,617 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 44/147 [2025-03-11 07:01:48,648 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 45/147 [2025-03-11 07:01:48,679 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 46/147 [2025-03-11 07:01:48,712 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 47/147 [2025-03-11 07:01:48,743 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 48/147 [2025-03-11 07:01:48,775 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 49/147 [2025-03-11 07:01:48,812 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 50/147 [2025-03-11 07:01:48,849 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 51/147 [2025-03-11 07:01:48,885 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 52/147 [2025-03-11 07:01:48,926 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 53/147 [2025-03-11 07:01:48,961 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 54/147 [2025-03-11 07:01:48,997 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 55/147 [2025-03-11 07:01:49,030 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 56/147 [2025-03-11 07:01:49,079 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 57/147 [2025-03-11 07:01:49,115 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 58/147 [2025-03-11 07:01:49,151 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 59/147 [2025-03-11 07:01:49,185 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 60/147 [2025-03-11 07:01:49,229 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 61/147 [2025-03-11 07:01:49,261 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 62/147 [2025-03-11 07:01:49,292 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 63/147 [2025-03-11 07:01:49,325 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 64/147 [2025-03-11 07:01:49,356 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 65/147 [2025-03-11 07:01:49,416 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 66/147 [2025-03-11 07:01:49,448 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 67/147 [2025-03-11 07:01:49,479 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 68/147 [2025-03-11 07:01:49,511 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 69/147 [2025-03-11 07:01:49,545 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 70/147 [2025-03-11 07:01:49,577 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 71/147 [2025-03-11 07:01:49,608 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 72/147 [2025-03-11 07:01:49,640 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 73/147 [2025-03-11 07:01:49,671 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 74/147 [2025-03-11 07:01:49,703 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 75/147 [2025-03-11 07:01:49,736 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 76/147 [2025-03-11 07:01:49,766 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 77/147 [2025-03-11 07:01:49,796 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 78/147 [2025-03-11 07:01:49,828 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 79/147 [2025-03-11 07:01:49,860 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 80/147 [2025-03-11 07:01:49,891 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 81/147 [2025-03-11 07:01:49,923 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 82/147 [2025-03-11 07:01:49,954 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 83/147 [2025-03-11 07:01:49,985 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 84/147 [2025-03-11 07:01:50,017 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 85/147 [2025-03-11 07:01:50,050 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 86/147 [2025-03-11 07:01:50,081 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 87/147 [2025-03-11 07:01:50,116 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 88/147 [2025-03-11 07:01:50,149 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 89/147 [2025-03-11 07:01:50,182 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 90/147 [2025-03-11 07:01:50,215 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 91/147 [2025-03-11 07:01:50,247 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 92/147 [2025-03-11 07:01:50,279 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 93/147 [2025-03-11 07:01:50,311 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 94/147 [2025-03-11 07:01:50,344 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 95/147 [2025-03-11 07:01:50,376 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 96/147 [2025-03-11 07:01:50,411 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 97/147 [2025-03-11 07:01:50,443 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 98/147 [2025-03-11 07:01:50,475 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 99/147 [2025-03-11 07:01:50,515 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 100/147 [2025-03-11 07:01:50,548 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 101/147 [2025-03-11 07:01:50,582 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 102/147 [2025-03-11 07:01:50,616 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 103/147 [2025-03-11 07:01:50,650 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 104/147 [2025-03-11 07:01:50,684 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 105/147 [2025-03-11 07:01:50,716 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 106/147 [2025-03-11 07:01:50,748 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 107/147 [2025-03-11 07:01:50,782 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 108/147 [2025-03-11 07:01:50,814 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 109/147 [2025-03-11 07:01:50,849 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 110/147 [2025-03-11 07:01:50,882 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 111/147 [2025-03-11 07:01:50,918 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 112/147 [2025-03-11 07:01:50,950 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 113/147 [2025-03-11 07:01:50,983 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 114/147 [2025-03-11 07:01:51,016 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 115/147 [2025-03-11 07:01:51,050 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 116/147 [2025-03-11 07:01:51,088 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 117/147 [2025-03-11 07:01:51,123 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 118/147 [2025-03-11 07:01:51,167 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 119/147 [2025-03-11 07:01:51,201 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 120/147 [2025-03-11 07:01:51,240 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 121/147 [2025-03-11 07:01:51,274 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 122/147 [2025-03-11 07:01:51,308 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 123/147 [2025-03-11 07:01:51,346 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 124/147 [2025-03-11 07:01:51,380 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 125/147 [2025-03-11 07:01:51,413 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 126/147 [2025-03-11 07:01:51,449 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 127/147 [2025-03-11 07:01:51,483 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 128/147 [2025-03-11 07:01:51,518 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 129/147 [2025-03-11 07:01:51,551 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 130/147 [2025-03-11 07:01:51,586 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 131/147 [2025-03-11 07:01:51,620 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 132/147 [2025-03-11 07:01:51,654 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 133/147 [2025-03-11 07:01:51,689 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 134/147 [2025-03-11 07:01:51,724 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 135/147 [2025-03-11 07:01:51,759 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 136/147 [2025-03-11 07:01:51,791 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 137/147 [2025-03-11 07:01:51,824 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 138/147 [2025-03-11 07:01:51,856 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 139/147 [2025-03-11 07:01:51,888 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 140/147 [2025-03-11 07:01:51,942 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 141/147 [2025-03-11 07:01:51,980 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 142/147 [2025-03-11 07:01:52,011 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 143/147 [2025-03-11 07:01:52,042 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 144/147 [2025-03-11 07:01:52,073 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 145/147 [2025-03-11 07:01:52,105 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 146/147 [2025-03-11 07:01:52,308 INFO test.py line 291 2389709] Test: scene0697_02 [74/78]-166855 Batch 5.462 (4.550) Accuracy 0.7242 (0.3931) mIoU 0.2688 (0.3112) [2025-03-11 07:01:52,384 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 0/130 [2025-03-11 07:01:52,421 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 1/130 [2025-03-11 07:01:52,464 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 2/130 [2025-03-11 07:01:52,496 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 3/130 [2025-03-11 07:01:52,528 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 4/130 [2025-03-11 07:01:52,563 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 5/130 [2025-03-11 07:01:52,598 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 6/130 [2025-03-11 07:01:52,635 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 7/130 [2025-03-11 07:01:52,670 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 8/130 [2025-03-11 07:01:52,705 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 9/130 [2025-03-11 07:01:52,739 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 10/130 [2025-03-11 07:01:52,775 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 11/130 [2025-03-11 07:01:52,810 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 12/130 [2025-03-11 07:01:52,847 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 13/130 [2025-03-11 07:01:52,882 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 14/130 [2025-03-11 07:01:52,919 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 15/130 [2025-03-11 07:01:52,953 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 16/130 [2025-03-11 07:01:52,989 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 17/130 [2025-03-11 07:01:53,025 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 18/130 [2025-03-11 07:01:53,059 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 19/130 [2025-03-11 07:01:53,094 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 20/130 [2025-03-11 07:01:53,129 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 21/130 [2025-03-11 07:01:53,163 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 22/130 [2025-03-11 07:01:53,198 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 23/130 [2025-03-11 07:01:53,234 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 24/130 [2025-03-11 07:01:53,269 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 25/130 [2025-03-11 07:01:53,304 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 26/130 [2025-03-11 07:01:53,338 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 27/130 [2025-03-11 07:01:53,373 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 28/130 [2025-03-11 07:01:53,409 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 29/130 [2025-03-11 07:01:53,443 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 30/130 [2025-03-11 07:01:53,479 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 31/130 [2025-03-11 07:01:53,516 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 32/130 [2025-03-11 07:01:53,551 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 33/130 [2025-03-11 07:01:53,587 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 34/130 [2025-03-11 07:01:53,624 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 35/130 [2025-03-11 07:01:53,660 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 36/130 [2025-03-11 07:01:53,697 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 37/130 [2025-03-11 07:01:53,733 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 38/130 [2025-03-11 07:01:53,768 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 39/130 [2025-03-11 07:01:53,802 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 40/130 [2025-03-11 07:01:53,838 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 41/130 [2025-03-11 07:01:53,872 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 42/130 [2025-03-11 07:01:53,952 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 43/130 [2025-03-11 07:01:54,005 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 44/130 [2025-03-11 07:01:54,039 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 45/130 [2025-03-11 07:01:54,072 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 46/130 [2025-03-11 07:01:54,111 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 47/130 [2025-03-11 07:01:54,145 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 48/130 [2025-03-11 07:01:54,180 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 49/130 [2025-03-11 07:01:54,215 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 50/130 [2025-03-11 07:01:54,254 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 51/130 [2025-03-11 07:01:54,293 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 52/130 [2025-03-11 07:01:54,327 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 53/130 [2025-03-11 07:01:54,361 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 54/130 [2025-03-11 07:01:54,396 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 55/130 [2025-03-11 07:01:54,430 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 56/130 [2025-03-11 07:01:54,464 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 57/130 [2025-03-11 07:01:54,500 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 58/130 [2025-03-11 07:01:54,535 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 59/130 [2025-03-11 07:01:54,569 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 60/130 [2025-03-11 07:01:54,604 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 61/130 [2025-03-11 07:01:54,638 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 62/130 [2025-03-11 07:01:54,672 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 63/130 [2025-03-11 07:01:54,706 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 64/130 [2025-03-11 07:01:54,740 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 65/130 [2025-03-11 07:01:54,774 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 66/130 [2025-03-11 07:01:54,820 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 67/130 [2025-03-11 07:01:54,852 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 68/130 [2025-03-11 07:01:54,883 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 69/130 [2025-03-11 07:01:54,918 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 70/130 [2025-03-11 07:01:54,952 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 71/130 [2025-03-11 07:01:54,984 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 72/130 [2025-03-11 07:01:55,019 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 73/130 [2025-03-11 07:01:55,054 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 74/130 [2025-03-11 07:01:55,087 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 75/130 [2025-03-11 07:01:55,125 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 76/130 [2025-03-11 07:01:55,165 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 77/130 [2025-03-11 07:01:55,205 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 78/130 [2025-03-11 07:01:55,246 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 79/130 [2025-03-11 07:01:55,288 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 80/130 [2025-03-11 07:01:55,329 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 81/130 [2025-03-11 07:01:55,370 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 82/130 [2025-03-11 07:01:55,411 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 83/130 [2025-03-11 07:01:55,453 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 84/130 [2025-03-11 07:01:55,498 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 85/130 [2025-03-11 07:01:55,540 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 86/130 [2025-03-11 07:01:55,582 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 87/130 [2025-03-11 07:01:55,623 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 88/130 [2025-03-11 07:01:55,679 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 89/130 [2025-03-11 07:01:55,727 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 90/130 [2025-03-11 07:01:55,767 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 91/130 [2025-03-11 07:01:55,813 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 92/130 [2025-03-11 07:01:55,862 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 93/130 [2025-03-11 07:01:55,904 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 94/130 [2025-03-11 07:01:55,945 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 95/130 [2025-03-11 07:01:55,987 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 96/130 [2025-03-11 07:01:56,026 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 97/130 [2025-03-11 07:01:56,070 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 98/130 [2025-03-11 07:01:56,113 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 99/130 [2025-03-11 07:01:56,158 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 100/130 [2025-03-11 07:01:56,214 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 101/130 [2025-03-11 07:01:56,268 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 102/130 [2025-03-11 07:01:56,323 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 103/130 [2025-03-11 07:01:56,371 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 104/130 [2025-03-11 07:01:56,418 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 105/130 [2025-03-11 07:01:56,462 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 106/130 [2025-03-11 07:01:56,507 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 107/130 [2025-03-11 07:01:56,550 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 108/130 [2025-03-11 07:01:56,594 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 109/130 [2025-03-11 07:01:56,648 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 110/130 [2025-03-11 07:01:56,696 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 111/130 [2025-03-11 07:01:56,741 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 112/130 [2025-03-11 07:01:56,779 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 113/130 [2025-03-11 07:01:56,816 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 114/130 [2025-03-11 07:01:56,855 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 115/130 [2025-03-11 07:01:56,893 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 116/130 [2025-03-11 07:01:56,929 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 117/130 [2025-03-11 07:01:56,967 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 118/130 [2025-03-11 07:01:57,006 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 119/130 [2025-03-11 07:01:57,042 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 120/130 [2025-03-11 07:01:57,079 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 121/130 [2025-03-11 07:01:57,115 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 122/130 [2025-03-11 07:01:57,155 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 123/130 [2025-03-11 07:01:57,192 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 124/130 [2025-03-11 07:01:57,229 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 125/130 [2025-03-11 07:01:57,267 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 126/130 [2025-03-11 07:01:57,305 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 127/130 [2025-03-11 07:01:57,342 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 128/130 [2025-03-11 07:01:57,382 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 129/130 [2025-03-11 07:01:57,669 INFO test.py line 291 2389709] Test: scene0081_01 [75/78]-179955 Batch 5.360 (4.561) Accuracy 0.8343 (0.3921) mIoU 0.1376 (0.3106) [2025-03-11 07:01:57,737 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 0/143 [2025-03-11 07:01:57,771 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 1/143 [2025-03-11 07:01:57,807 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 2/143 [2025-03-11 07:01:57,840 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 3/143 [2025-03-11 07:01:57,875 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 4/143 [2025-03-11 07:01:57,909 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 5/143 [2025-03-11 07:01:57,944 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 6/143 [2025-03-11 07:01:57,979 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 7/143 [2025-03-11 07:01:58,013 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 8/143 [2025-03-11 07:01:58,047 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 9/143 [2025-03-11 07:01:58,081 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 10/143 [2025-03-11 07:01:58,116 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 11/143 [2025-03-11 07:01:58,153 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 12/143 [2025-03-11 07:01:58,184 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 13/143 [2025-03-11 07:01:58,217 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 14/143 [2025-03-11 07:01:58,250 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 15/143 [2025-03-11 07:01:58,284 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 16/143 [2025-03-11 07:01:58,318 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 17/143 [2025-03-11 07:01:58,352 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 18/143 [2025-03-11 07:01:58,384 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 19/143 [2025-03-11 07:01:58,415 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 20/143 [2025-03-11 07:01:58,448 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 21/143 [2025-03-11 07:01:58,482 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 22/143 [2025-03-11 07:01:58,516 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 23/143 [2025-03-11 07:01:58,549 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 24/143 [2025-03-11 07:01:58,583 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 25/143 [2025-03-11 07:01:58,618 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 26/143 [2025-03-11 07:01:58,652 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 27/143 [2025-03-11 07:01:58,686 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 28/143 [2025-03-11 07:01:58,717 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 29/143 [2025-03-11 07:01:58,768 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 30/143 [2025-03-11 07:01:58,804 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 31/143 [2025-03-11 07:01:58,834 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 32/143 [2025-03-11 07:01:58,868 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 33/143 [2025-03-11 07:01:58,901 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 34/143 [2025-03-11 07:01:58,932 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 35/143 [2025-03-11 07:01:58,967 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 36/143 [2025-03-11 07:01:59,002 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 37/143 [2025-03-11 07:01:59,034 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 38/143 [2025-03-11 07:01:59,068 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 39/143 [2025-03-11 07:01:59,099 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 40/143 [2025-03-11 07:01:59,131 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 41/143 [2025-03-11 07:01:59,162 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 42/143 [2025-03-11 07:01:59,195 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 43/143 [2025-03-11 07:01:59,225 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 44/143 [2025-03-11 07:01:59,257 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 45/143 [2025-03-11 07:01:59,289 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 46/143 [2025-03-11 07:01:59,321 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 47/143 [2025-03-11 07:01:59,352 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 48/143 [2025-03-11 07:01:59,412 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 49/143 [2025-03-11 07:01:59,441 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 50/143 [2025-03-11 07:01:59,473 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 51/143 [2025-03-11 07:01:59,504 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 52/143 [2025-03-11 07:01:59,535 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 53/143 [2025-03-11 07:01:59,566 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 54/143 [2025-03-11 07:01:59,599 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 55/143 [2025-03-11 07:01:59,629 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 56/143 [2025-03-11 07:01:59,661 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 57/143 [2025-03-11 07:01:59,692 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 58/143 [2025-03-11 07:01:59,724 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 59/143 [2025-03-11 07:01:59,754 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 60/143 [2025-03-11 07:01:59,788 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 61/143 [2025-03-11 07:01:59,821 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 62/143 [2025-03-11 07:01:59,853 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 63/143 [2025-03-11 07:01:59,887 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 64/143 [2025-03-11 07:01:59,922 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 65/143 [2025-03-11 07:01:59,957 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 66/143 [2025-03-11 07:01:59,999 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 67/143 [2025-03-11 07:02:00,051 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 68/143 [2025-03-11 07:02:00,104 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 69/143 [2025-03-11 07:02:00,152 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 70/143 [2025-03-11 07:02:00,194 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 71/143 [2025-03-11 07:02:00,230 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 72/143 [2025-03-11 07:02:00,267 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 73/143 [2025-03-11 07:02:00,309 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 74/143 [2025-03-11 07:02:00,349 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 75/143 [2025-03-11 07:02:00,390 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 76/143 [2025-03-11 07:02:00,428 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 77/143 [2025-03-11 07:02:00,467 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 78/143 [2025-03-11 07:02:00,505 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 79/143 [2025-03-11 07:02:00,542 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 80/143 [2025-03-11 07:02:00,580 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 81/143 [2025-03-11 07:02:00,621 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 82/143 [2025-03-11 07:02:00,663 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 83/143 [2025-03-11 07:02:00,698 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 84/143 [2025-03-11 07:02:00,726 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 85/143 [2025-03-11 07:02:00,752 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 86/143 [2025-03-11 07:02:00,778 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 87/143 [2025-03-11 07:02:00,803 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 88/143 [2025-03-11 07:02:00,828 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 89/143 [2025-03-11 07:02:00,857 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 90/143 [2025-03-11 07:02:00,883 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 91/143 [2025-03-11 07:02:00,921 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 92/143 [2025-03-11 07:02:00,961 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 93/143 [2025-03-11 07:02:00,996 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 94/143 [2025-03-11 07:02:01,034 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 95/143 [2025-03-11 07:02:01,069 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 96/143 [2025-03-11 07:02:01,104 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 97/143 [2025-03-11 07:02:01,143 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 98/143 [2025-03-11 07:02:01,177 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 99/143 [2025-03-11 07:02:01,207 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 100/143 [2025-03-11 07:02:01,239 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 101/143 [2025-03-11 07:02:01,269 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 102/143 [2025-03-11 07:02:01,299 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 103/143 [2025-03-11 07:02:01,328 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 104/143 [2025-03-11 07:02:01,370 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 105/143 [2025-03-11 07:02:01,400 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 106/143 [2025-03-11 07:02:01,430 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 107/143 [2025-03-11 07:02:01,462 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 108/143 [2025-03-11 07:02:01,491 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 109/143 [2025-03-11 07:02:01,523 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 110/143 [2025-03-11 07:02:01,552 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 111/143 [2025-03-11 07:02:01,581 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 112/143 [2025-03-11 07:02:01,609 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 113/143 [2025-03-11 07:02:01,637 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 114/143 [2025-03-11 07:02:01,666 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 115/143 [2025-03-11 07:02:01,697 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 116/143 [2025-03-11 07:02:01,726 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 117/143 [2025-03-11 07:02:01,755 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 118/143 [2025-03-11 07:02:01,784 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 119/143 [2025-03-11 07:02:01,811 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 120/143 [2025-03-11 07:02:01,839 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 121/143 [2025-03-11 07:02:01,868 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 122/143 [2025-03-11 07:02:01,899 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 123/143 [2025-03-11 07:02:01,926 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 124/143 [2025-03-11 07:02:01,954 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 125/143 [2025-03-11 07:02:01,982 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 126/143 [2025-03-11 07:02:02,010 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 127/143 [2025-03-11 07:02:02,038 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 128/143 [2025-03-11 07:02:02,065 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 129/143 [2025-03-11 07:02:02,093 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 130/143 [2025-03-11 07:02:02,123 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 131/143 [2025-03-11 07:02:02,153 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 132/143 [2025-03-11 07:02:02,182 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 133/143 [2025-03-11 07:02:02,211 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 134/143 [2025-03-11 07:02:02,240 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 135/143 [2025-03-11 07:02:02,269 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 136/143 [2025-03-11 07:02:02,297 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 137/143 [2025-03-11 07:02:02,327 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 138/143 [2025-03-11 07:02:02,356 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 139/143 [2025-03-11 07:02:02,385 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 140/143 [2025-03-11 07:02:02,424 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 141/143 [2025-03-11 07:02:02,457 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 142/143 [2025-03-11 07:02:02,627 INFO test.py line 291 2389709] Test: scene0689_00 [76/78]-122129 Batch 4.958 (4.566) Accuracy 0.8270 (0.3920) mIoU 0.6261 (0.3105) [2025-03-11 07:02:02,721 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 0/130 [2025-03-11 07:02:02,759 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 1/130 [2025-03-11 07:02:02,799 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 2/130 [2025-03-11 07:02:02,836 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 3/130 [2025-03-11 07:02:02,872 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 4/130 [2025-03-11 07:02:02,909 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 5/130 [2025-03-11 07:02:02,946 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 6/130 [2025-03-11 07:02:02,982 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 7/130 [2025-03-11 07:02:03,020 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 8/130 [2025-03-11 07:02:03,056 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 9/130 [2025-03-11 07:02:03,093 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 10/130 [2025-03-11 07:02:03,131 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 11/130 [2025-03-11 07:02:03,167 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 12/130 [2025-03-11 07:02:03,207 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 13/130 [2025-03-11 07:02:03,248 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 14/130 [2025-03-11 07:02:03,285 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 15/130 [2025-03-11 07:02:03,322 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 16/130 [2025-03-11 07:02:03,360 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 17/130 [2025-03-11 07:02:03,397 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 18/130 [2025-03-11 07:02:03,435 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 19/130 [2025-03-11 07:02:03,473 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 20/130 [2025-03-11 07:02:03,510 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 21/130 [2025-03-11 07:02:03,547 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 22/130 [2025-03-11 07:02:03,585 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 23/130 [2025-03-11 07:02:03,622 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 24/130 [2025-03-11 07:02:03,660 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 25/130 [2025-03-11 07:02:03,699 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 26/130 [2025-03-11 07:02:03,735 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 27/130 [2025-03-11 07:02:03,772 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 28/130 [2025-03-11 07:02:03,810 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 29/130 [2025-03-11 07:02:03,847 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 30/130 [2025-03-11 07:02:03,884 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 31/130 [2025-03-11 07:02:03,921 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 32/130 [2025-03-11 07:02:03,959 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 33/130 [2025-03-11 07:02:03,996 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 34/130 [2025-03-11 07:02:04,033 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 35/130 [2025-03-11 07:02:04,081 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 36/130 [2025-03-11 07:02:04,118 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 37/130 [2025-03-11 07:02:04,154 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 38/130 [2025-03-11 07:02:04,193 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 39/130 [2025-03-11 07:02:04,232 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 40/130 [2025-03-11 07:02:04,269 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 41/130 [2025-03-11 07:02:04,309 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 42/130 [2025-03-11 07:02:04,347 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 43/130 [2025-03-11 07:02:04,383 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 44/130 [2025-03-11 07:02:04,419 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 45/130 [2025-03-11 07:02:04,453 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 46/130 [2025-03-11 07:02:04,496 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 47/130 [2025-03-11 07:02:04,542 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 48/130 [2025-03-11 07:02:04,577 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 49/130 [2025-03-11 07:02:04,611 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 50/130 [2025-03-11 07:02:04,646 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 51/130 [2025-03-11 07:02:04,684 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 52/130 [2025-03-11 07:02:04,718 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 53/130 [2025-03-11 07:02:04,753 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 54/130 [2025-03-11 07:02:04,789 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 55/130 [2025-03-11 07:02:04,825 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 56/130 [2025-03-11 07:02:04,859 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 57/130 [2025-03-11 07:02:04,896 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 58/130 [2025-03-11 07:02:04,931 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 59/130 [2025-03-11 07:02:04,968 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 60/130 [2025-03-11 07:02:05,005 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 61/130 [2025-03-11 07:02:05,042 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 62/130 [2025-03-11 07:02:05,077 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 63/130 [2025-03-11 07:02:05,113 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 64/130 [2025-03-11 07:02:05,147 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 65/130 [2025-03-11 07:02:05,186 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 66/130 [2025-03-11 07:02:05,220 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 67/130 [2025-03-11 07:02:05,255 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 68/130 [2025-03-11 07:02:05,293 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 69/130 [2025-03-11 07:02:05,327 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 70/130 [2025-03-11 07:02:05,360 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 71/130 [2025-03-11 07:02:05,397 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 72/130 [2025-03-11 07:02:05,431 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 73/130 [2025-03-11 07:02:05,467 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 74/130 [2025-03-11 07:02:05,511 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 75/130 [2025-03-11 07:02:05,546 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 76/130 [2025-03-11 07:02:05,582 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 77/130 [2025-03-11 07:02:05,619 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 78/130 [2025-03-11 07:02:05,656 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 79/130 [2025-03-11 07:02:05,693 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 80/130 [2025-03-11 07:02:05,729 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 81/130 [2025-03-11 07:02:05,763 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 82/130 [2025-03-11 07:02:05,800 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 83/130 [2025-03-11 07:02:05,850 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 84/130 [2025-03-11 07:02:05,898 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 85/130 [2025-03-11 07:02:05,941 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 86/130 [2025-03-11 07:02:05,978 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 87/130 [2025-03-11 07:02:06,015 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 88/130 [2025-03-11 07:02:06,051 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 89/130 [2025-03-11 07:02:06,086 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 90/130 [2025-03-11 07:02:06,124 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 91/130 [2025-03-11 07:02:06,163 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 92/130 [2025-03-11 07:02:06,199 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 93/130 [2025-03-11 07:02:06,235 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 94/130 [2025-03-11 07:02:06,270 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 95/130 [2025-03-11 07:02:06,306 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 96/130 [2025-03-11 07:02:06,342 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 97/130 [2025-03-11 07:02:06,379 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 98/130 [2025-03-11 07:02:06,416 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 99/130 [2025-03-11 07:02:06,453 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 100/130 [2025-03-11 07:02:06,490 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 101/130 [2025-03-11 07:02:06,528 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 102/130 [2025-03-11 07:02:06,565 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 103/130 [2025-03-11 07:02:06,600 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 104/130 [2025-03-11 07:02:06,636 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 105/130 [2025-03-11 07:02:06,673 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 106/130 [2025-03-11 07:02:06,710 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 107/130 [2025-03-11 07:02:06,745 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 108/130 [2025-03-11 07:02:06,806 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 109/130 [2025-03-11 07:02:06,843 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 110/130 [2025-03-11 07:02:06,880 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 111/130 [2025-03-11 07:02:06,916 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 112/130 [2025-03-11 07:02:06,953 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 113/130 [2025-03-11 07:02:06,990 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 114/130 [2025-03-11 07:02:07,026 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 115/130 [2025-03-11 07:02:07,064 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 116/130 [2025-03-11 07:02:07,100 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 117/130 [2025-03-11 07:02:07,138 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 118/130 [2025-03-11 07:02:07,176 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 119/130 [2025-03-11 07:02:07,211 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 120/130 [2025-03-11 07:02:07,248 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 121/130 [2025-03-11 07:02:07,284 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 122/130 [2025-03-11 07:02:07,320 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 123/130 [2025-03-11 07:02:07,359 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 124/130 [2025-03-11 07:02:07,397 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 125/130 [2025-03-11 07:02:07,433 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 126/130 [2025-03-11 07:02:07,469 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 127/130 [2025-03-11 07:02:07,508 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 128/130 [2025-03-11 07:02:07,546 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 129/130 [2025-03-11 07:02:07,843 INFO test.py line 291 2389709] Test: scene0095_01 [77/78]-216254 Batch 5.215 (4.575) Accuracy 0.8893 (0.3920) mIoU 0.4392 (0.3105) [2025-03-11 07:02:07,909 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 0/147 [2025-03-11 07:02:07,948 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 1/147 [2025-03-11 07:02:07,990 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 2/147 [2025-03-11 07:02:08,019 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 3/147 [2025-03-11 07:02:08,048 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 4/147 [2025-03-11 07:02:08,079 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 5/147 [2025-03-11 07:02:08,107 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 6/147 [2025-03-11 07:02:08,157 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 7/147 [2025-03-11 07:02:08,193 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 8/147 [2025-03-11 07:02:08,221 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 9/147 [2025-03-11 07:02:08,252 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 10/147 [2025-03-11 07:02:08,283 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 11/147 [2025-03-11 07:02:08,315 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 12/147 [2025-03-11 07:02:08,346 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 13/147 [2025-03-11 07:02:08,375 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 14/147 [2025-03-11 07:02:08,405 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 15/147 [2025-03-11 07:02:08,435 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 16/147 [2025-03-11 07:02:08,465 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 17/147 [2025-03-11 07:02:08,493 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 18/147 [2025-03-11 07:02:08,524 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 19/147 [2025-03-11 07:02:08,554 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 20/147 [2025-03-11 07:02:08,582 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 21/147 [2025-03-11 07:02:08,611 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 22/147 [2025-03-11 07:02:08,642 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 23/147 [2025-03-11 07:02:08,680 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 24/147 [2025-03-11 07:02:08,710 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 25/147 [2025-03-11 07:02:08,740 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 26/147 [2025-03-11 07:02:08,780 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 27/147 [2025-03-11 07:02:08,809 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 28/147 [2025-03-11 07:02:08,838 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 29/147 [2025-03-11 07:02:08,866 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 30/147 [2025-03-11 07:02:08,893 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 31/147 [2025-03-11 07:02:08,926 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 32/147 [2025-03-11 07:02:08,956 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 33/147 [2025-03-11 07:02:08,991 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 34/147 [2025-03-11 07:02:09,031 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 35/147 [2025-03-11 07:02:09,074 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 36/147 [2025-03-11 07:02:09,116 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 37/147 [2025-03-11 07:02:09,156 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 38/147 [2025-03-11 07:02:09,185 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 39/147 [2025-03-11 07:02:09,212 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 40/147 [2025-03-11 07:02:09,241 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 41/147 [2025-03-11 07:02:09,272 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 42/147 [2025-03-11 07:02:09,305 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 43/147 [2025-03-11 07:02:09,332 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 44/147 [2025-03-11 07:02:09,358 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 45/147 [2025-03-11 07:02:09,384 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 46/147 [2025-03-11 07:02:09,412 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 47/147 [2025-03-11 07:02:09,439 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 48/147 [2025-03-11 07:02:09,470 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 49/147 [2025-03-11 07:02:09,503 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 50/147 [2025-03-11 07:02:09,535 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 51/147 [2025-03-11 07:02:09,565 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 52/147 [2025-03-11 07:02:09,593 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 53/147 [2025-03-11 07:02:09,633 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 54/147 [2025-03-11 07:02:09,662 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 55/147 [2025-03-11 07:02:09,706 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 56/147 [2025-03-11 07:02:09,749 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 57/147 [2025-03-11 07:02:09,801 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 58/147 [2025-03-11 07:02:09,838 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 59/147 [2025-03-11 07:02:09,874 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 60/147 [2025-03-11 07:02:09,918 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 61/147 [2025-03-11 07:02:09,965 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 62/147 [2025-03-11 07:02:10,007 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 63/147 [2025-03-11 07:02:10,050 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 64/147 [2025-03-11 07:02:10,086 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 65/147 [2025-03-11 07:02:10,113 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 66/147 [2025-03-11 07:02:10,142 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 67/147 [2025-03-11 07:02:10,169 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 68/147 [2025-03-11 07:02:10,196 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 69/147 [2025-03-11 07:02:10,222 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 70/147 [2025-03-11 07:02:10,253 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 71/147 [2025-03-11 07:02:10,280 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 72/147 [2025-03-11 07:02:10,323 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 73/147 [2025-03-11 07:02:10,367 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 74/147 [2025-03-11 07:02:10,401 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 75/147 [2025-03-11 07:02:10,424 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 76/147 [2025-03-11 07:02:10,450 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 77/147 [2025-03-11 07:02:10,477 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 78/147 [2025-03-11 07:02:10,504 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 79/147 [2025-03-11 07:02:10,532 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 80/147 [2025-03-11 07:02:10,568 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 81/147 [2025-03-11 07:02:10,595 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 82/147 [2025-03-11 07:02:10,622 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 83/147 [2025-03-11 07:02:10,648 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 84/147 [2025-03-11 07:02:10,676 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 85/147 [2025-03-11 07:02:10,702 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 86/147 [2025-03-11 07:02:10,730 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 87/147 [2025-03-11 07:02:10,758 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 88/147 [2025-03-11 07:02:10,785 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 89/147 [2025-03-11 07:02:10,812 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 90/147 [2025-03-11 07:02:10,840 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 91/147 [2025-03-11 07:02:10,865 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 92/147 [2025-03-11 07:02:10,891 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 93/147 [2025-03-11 07:02:10,917 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 94/147 [2025-03-11 07:02:10,969 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 95/147 [2025-03-11 07:02:10,996 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 96/147 [2025-03-11 07:02:11,032 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 97/147 [2025-03-11 07:02:11,060 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 98/147 [2025-03-11 07:02:11,087 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 99/147 [2025-03-11 07:02:11,116 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 100/147 [2025-03-11 07:02:11,144 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 101/147 [2025-03-11 07:02:11,172 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 102/147 [2025-03-11 07:02:11,199 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 103/147 [2025-03-11 07:02:11,227 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 104/147 [2025-03-11 07:02:11,255 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 105/147 [2025-03-11 07:02:11,282 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 106/147 [2025-03-11 07:02:11,311 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 107/147 [2025-03-11 07:02:11,339 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 108/147 [2025-03-11 07:02:11,367 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 109/147 [2025-03-11 07:02:11,395 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 110/147 [2025-03-11 07:02:11,427 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 111/147 [2025-03-11 07:02:11,456 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 112/147 [2025-03-11 07:02:11,484 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 113/147 [2025-03-11 07:02:11,513 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 114/147 [2025-03-11 07:02:11,541 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 115/147 [2025-03-11 07:02:11,569 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 116/147 [2025-03-11 07:02:11,597 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 117/147 [2025-03-11 07:02:11,626 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 118/147 [2025-03-11 07:02:11,656 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 119/147 [2025-03-11 07:02:11,684 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 120/147 [2025-03-11 07:02:11,736 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 121/147 [2025-03-11 07:02:11,763 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 122/147 [2025-03-11 07:02:11,792 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 123/147 [2025-03-11 07:02:11,820 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 124/147 [2025-03-11 07:02:11,849 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 125/147 [2025-03-11 07:02:11,877 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 126/147 [2025-03-11 07:02:11,905 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 127/147 [2025-03-11 07:02:11,932 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 128/147 [2025-03-11 07:02:11,960 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 129/147 [2025-03-11 07:02:11,988 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 130/147 [2025-03-11 07:02:12,016 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 131/147 [2025-03-11 07:02:12,046 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 132/147 [2025-03-11 07:02:12,074 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 133/147 [2025-03-11 07:02:12,105 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 134/147 [2025-03-11 07:02:12,133 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 135/147 [2025-03-11 07:02:12,161 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 136/147 [2025-03-11 07:02:12,191 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 137/147 [2025-03-11 07:02:12,219 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 138/147 [2025-03-11 07:02:12,247 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 139/147 [2025-03-11 07:02:12,274 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 140/147 [2025-03-11 07:02:12,304 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 141/147 [2025-03-11 07:02:12,332 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 142/147 [2025-03-11 07:02:12,360 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 143/147 [2025-03-11 07:02:12,389 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 144/147 [2025-03-11 07:02:12,416 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 145/147 [2025-03-11 07:02:12,444 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 146/147 [2025-03-11 07:02:12,597 INFO test.py line 291 2389709] Test: scene0187_01 [78/78]-144163 Batch 4.754 (4.577) Accuracy 0.8343 (0.3908) mIoU 0.3346 (0.3092) [2025-03-11 07:02:13,190 INFO test.py line 308 2389709] Syncing ... [2025-03-11 07:02:34,224 INFO test.py line 336 2389709] Val result: mIoU/mAcc/allAcc 0.3435/0.4310/0.8254 [2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_0 - wall Result: iou/accuracy 0.7935/0.9301 [2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_1 - chair Result: iou/accuracy 0.7464/0.8762 [2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_2 - floor Result: iou/accuracy 0.9511/0.9798 [2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_3 - table Result: iou/accuracy 0.6389/0.7837 [2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_4 - door Result: iou/accuracy 0.6745/0.7908 [2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_5 - couch Result: iou/accuracy 0.8044/0.9257 [2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_6 - cabinet Result: iou/accuracy 0.3887/0.5929 [2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_7 - shelf Result: iou/accuracy 0.4546/0.6053 [2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_8 - desk Result: iou/accuracy 0.5907/0.8120 [2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_9 - office chair Result: iou/accuracy 0.1786/0.2614 [2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_10 - bed Result: iou/accuracy 0.8072/0.8911 [2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_11 - pillow Result: iou/accuracy 0.5643/0.7843 [2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_12 - sink Result: iou/accuracy 0.6925/0.8012 [2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_13 - picture Result: iou/accuracy 0.3958/0.5315 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_14 - window Result: iou/accuracy 0.6174/0.7893 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_15 - toilet Result: iou/accuracy 0.9445/0.9666 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_16 - bookshelf Result: iou/accuracy 0.5069/0.6831 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_17 - monitor Result: iou/accuracy 0.8809/0.9414 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_18 - curtain Result: iou/accuracy 0.7414/0.8635 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_19 - book Result: iou/accuracy 0.4582/0.6857 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_20 - armchair Result: iou/accuracy 0.5284/0.6879 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_21 - coffee table Result: iou/accuracy 0.6239/0.7365 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_22 - box Result: iou/accuracy 0.3613/0.4844 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_23 - refrigerator Result: iou/accuracy 0.7149/0.7628 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_24 - lamp Result: iou/accuracy 0.7024/0.8384 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_25 - kitchen cabinet Result: iou/accuracy 0.6576/0.7371 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_26 - towel Result: iou/accuracy 0.5509/0.7165 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_27 - clothes Result: iou/accuracy 0.2077/0.3643 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_28 - tv Result: iou/accuracy 0.9043/0.9325 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_29 - nightstand Result: iou/accuracy 0.7319/0.8963 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_30 - counter Result: iou/accuracy 0.3028/0.4671 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_31 - dresser Result: iou/accuracy 0.4411/0.5923 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_32 - stool Result: iou/accuracy 0.6094/0.7723 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_33 - cushion Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_34 - plant Result: iou/accuracy 0.8114/0.8950 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_35 - ceiling Result: iou/accuracy 0.9202/0.9612 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_36 - bathtub Result: iou/accuracy 0.8822/0.9179 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_37 - end table Result: iou/accuracy 0.2609/0.3649 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_38 - dining table Result: iou/accuracy 0.0162/0.0207 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_39 - keyboard Result: iou/accuracy 0.4261/0.5604 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_40 - bag Result: iou/accuracy 0.2500/0.3324 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_41 - backpack Result: iou/accuracy 0.6406/0.7318 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_42 - toilet paper Result: iou/accuracy 0.4925/0.6026 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_43 - printer Result: iou/accuracy 0.4977/0.6465 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_44 - tv stand Result: iou/accuracy 0.4451/0.4723 [2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_45 - whiteboard Result: iou/accuracy 0.5048/0.6792 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_46 - blanket Result: iou/accuracy 0.0648/0.0918 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_47 - shower curtain Result: iou/accuracy 0.7197/0.7971 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_48 - trash can Result: iou/accuracy 0.6320/0.8461 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_49 - closet Result: iou/accuracy 0.1025/0.1387 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_50 - stairs Result: iou/accuracy 0.4991/0.6862 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_51 - microwave Result: iou/accuracy 0.5467/0.7492 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_52 - stove Result: iou/accuracy 0.6487/0.8749 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_53 - shoe Result: iou/accuracy 0.5338/0.6682 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_54 - computer tower Result: iou/accuracy 0.5533/0.8050 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_55 - bottle Result: iou/accuracy 0.1325/0.2716 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_56 - bin Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_57 - ottoman Result: iou/accuracy 0.4265/0.4483 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_58 - bench Result: iou/accuracy 0.4580/0.4942 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_59 - board Result: iou/accuracy 0.2334/0.3587 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_60 - washing machine Result: iou/accuracy 0.8442/0.9446 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_61 - mirror Result: iou/accuracy 0.4174/0.4974 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_62 - copier Result: iou/accuracy 0.8527/0.9630 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_63 - basket Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_64 - sofa chair Result: iou/accuracy 0.1855/0.2834 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_65 - file cabinet Result: iou/accuracy 0.4245/0.5119 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_66 - fan Result: iou/accuracy 0.3980/0.4600 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_67 - laptop Result: iou/accuracy 0.5503/0.7780 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_68 - shower Result: iou/accuracy 0.3239/0.3307 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_69 - paper Result: iou/accuracy 0.1032/0.1345 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_70 - person Result: iou/accuracy 0.4054/0.6714 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_71 - paper towel dispenser Result: iou/accuracy 0.5520/0.7738 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_72 - oven Result: iou/accuracy 0.1202/0.1291 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_73 - blinds Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_74 - rack Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_75 - plate Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_76 - blackboard Result: iou/accuracy 0.5731/0.6283 [2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_77 - piano Result: iou/accuracy 0.7438/0.8652 [2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_78 - suitcase Result: iou/accuracy 0.7252/0.8881 [2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_79 - rail Result: iou/accuracy 0.0481/0.0509 [2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_80 - radiator Result: iou/accuracy 0.6773/0.7418 [2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_81 - recycling bin Result: iou/accuracy 0.5076/0.6353 [2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_82 - container Result: iou/accuracy 0.0141/0.0227 [2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_83 - wardrobe Result: iou/accuracy 0.2500/0.3599 [2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_84 - soap dispenser Result: iou/accuracy 0.8115/0.8926 [2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_85 - telephone Result: iou/accuracy 0.3534/0.4457 [2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_86 - bucket Result: iou/accuracy 0.3912/0.6560 [2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_87 - clock Result: iou/accuracy 0.2318/0.2711 [2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_88 - stand Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_89 - light Result: iou/accuracy 0.0315/0.0342 [2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_90 - laundry basket Result: iou/accuracy 0.0634/0.0717 [2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_91 - pipe Result: iou/accuracy 0.0394/0.0594 [2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_92 - clothes dryer Result: iou/accuracy 0.6237/0.6303 [2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_93 - guitar Result: iou/accuracy 0.8095/0.8549 [2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_94 - toilet paper holder Result: iou/accuracy 0.0106/0.0381 [2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_95 - seat Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_96 - speaker Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_97 - column Result: iou/accuracy 0.0057/0.0060 [2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_98 - bicycle Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_99 - ladder Result: iou/accuracy 0.6120/0.6260 [2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_100 - bathroom stall Result: iou/accuracy 0.4577/0.5155 [2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_101 - shower wall Result: iou/accuracy 0.4524/0.6020 [2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_102 - cup Result: iou/accuracy 0.1727/0.2781 [2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_103 - jacket Result: iou/accuracy 0.2470/0.3195 [2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_104 - storage bin Result: iou/accuracy 0.0001/0.0001 [2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_105 - coffee maker Result: iou/accuracy 0.7475/0.8031 [2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_106 - dishwasher Result: iou/accuracy 0.4110/0.4973 [2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_107 - paper towel roll Result: iou/accuracy 0.3056/0.3660 [2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_108 - machine Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_109 - mat Result: iou/accuracy 0.2264/0.2364 [2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_110 - windowsill Result: iou/accuracy 0.1233/0.1293 [2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_111 - bar Result: iou/accuracy 0.1678/0.2819 [2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_112 - toaster Result: iou/accuracy 0.6111/0.8514 [2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_113 - bulletin board Result: iou/accuracy 0.2864/0.4408 [2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_114 - ironing board Result: iou/accuracy 0.2278/0.2503 [2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_115 - fireplace Result: iou/accuracy 0.6818/0.7099 [2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_116 - soap dish Result: iou/accuracy 0.3766/0.5162 [2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_117 - kitchen counter Result: iou/accuracy 0.5474/0.6621 [2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_118 - doorframe Result: iou/accuracy 0.4594/0.6801 [2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_119 - toilet paper dispenser Result: iou/accuracy 0.5151/0.6621 [2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_120 - mini fridge Result: iou/accuracy 0.3397/0.3526 [2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_121 - fire extinguisher Result: iou/accuracy 0.2580/0.2778 [2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_122 - ball Result: iou/accuracy 0.7849/0.8194 [2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_123 - hat Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_124 - shower curtain rod Result: iou/accuracy 0.4220/0.9262 [2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_125 - water cooler Result: iou/accuracy 0.7847/0.8449 [2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_126 - paper cutter Result: iou/accuracy 0.3112/0.4007 [2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_127 - tray Result: iou/accuracy 0.0497/0.0814 [2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_128 - shower door Result: iou/accuracy 0.2817/0.3238 [2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_129 - pillar Result: iou/accuracy 0.0011/0.0012 [2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_130 - ledge Result: iou/accuracy 0.0581/0.0765 [2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_131 - toaster oven Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_132 - mouse Result: iou/accuracy 0.1416/0.4571 [2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_133 - toilet seat cover dispenser Result: iou/accuracy 0.7651/0.8830 [2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_134 - furniture Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_135 - cart Result: iou/accuracy 0.1439/0.1599 [2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_136 - storage container Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_137 - scale Result: iou/accuracy 0.5256/0.9429 [2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_138 - tissue box Result: iou/accuracy 0.2304/0.2982 [2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_139 - light switch Result: iou/accuracy 0.0632/0.0880 [2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_140 - crate Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_141 - power outlet Result: iou/accuracy 0.3369/0.3938 [2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_142 - decoration Result: iou/accuracy 0.3836/0.5357 [2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_143 - sign Result: iou/accuracy 0.0424/0.0452 [2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_144 - projector Result: iou/accuracy 0.0653/1.0000 [2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_145 - closet door Result: iou/accuracy 0.0516/0.0574 [2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_146 - vacuum cleaner Result: iou/accuracy 0.8818/0.9815 [2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_147 - candle Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_148 - plunger Result: iou/accuracy 0.6062/0.9821 [2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_149 - stuffed animal Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_150 - headphones Result: iou/accuracy 0.0428/0.0509 [2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_151 - dish rack Result: iou/accuracy 0.8771/0.9781 [2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_152 - broom Result: iou/accuracy 0.0650/0.0737 [2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_153 - guitar case Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_154 - range hood Result: iou/accuracy 0.7996/0.9189 [2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_155 - dustpan Result: iou/accuracy 0.0397/0.0722 [2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_156 - hair dryer Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_157 - water bottle Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_158 - handicap bar Result: iou/accuracy 0.0608/0.8280 [2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_159 - purse Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_160 - vent Result: iou/accuracy 0.2661/0.2740 [2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_161 - shower floor Result: iou/accuracy 0.8391/0.9981 [2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_162 - water pitcher Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_163 - mailbox Result: iou/accuracy 0.5066/0.5169 [2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_164 - bowl Result: iou/accuracy 0.1577/0.1976 [2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_165 - paper bag Result: iou/accuracy 0.1100/0.1243 [2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_166 - alarm clock Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_167 - music stand Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_168 - projector screen Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_169 - divider Result: iou/accuracy 0.4722/0.5427 [2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_170 - laundry detergent Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_171 - bathroom counter Result: iou/accuracy 0.2903/0.3402 [2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_172 - object Result: iou/accuracy 0.0546/0.0927 [2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_173 - bathroom vanity Result: iou/accuracy 0.5238/0.8007 [2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_174 - closet wall Result: iou/accuracy 0.0245/0.0335 [2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_175 - laundry hamper Result: iou/accuracy 0.0129/0.0134 [2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_176 - bathroom stall door Result: iou/accuracy 0.5372/0.6820 [2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_177 - ceiling light Result: iou/accuracy 0.3943/0.4762 [2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_178 - trash bin Result: iou/accuracy 0.2648/0.3210 [2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_179 - dumbbell Result: iou/accuracy 0.9116/0.9763 [2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_180 - stair rail Result: iou/accuracy 0.1357/0.1551 [2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_181 - tube Result: iou/accuracy 0.1333/0.1552 [2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_182 - bathroom cabinet Result: iou/accuracy 0.4255/0.5556 [2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_183 - cd case Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_184 - closet rod Result: iou/accuracy 0.6111/0.8654 [2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_185 - coffee kettle Result: iou/accuracy 0.5288/0.6414 [2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_186 - structure Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_187 - shower head Result: iou/accuracy 0.3097/0.3346 [2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_188 - keyboard piano Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,232 INFO test.py line 342 2389709] Class_189 - case of water bottles Result: iou/accuracy 0.1125/0.1126 [2025-03-11 07:02:34,232 INFO test.py line 342 2389709] Class_190 - coat rack Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,232 INFO test.py line 342 2389709] Class_191 - storage organizer Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,232 INFO test.py line 342 2389709] Class_192 - folded chair Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,232 INFO test.py line 342 2389709] Class_193 - fire alarm Result: iou/accuracy 0.0853/0.1803 [2025-03-11 07:02:34,232 INFO test.py line 342 2389709] Class_194 - power strip Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,232 INFO test.py line 342 2389709] Class_195 - calendar Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,232 INFO test.py line 342 2389709] Class_196 - poster Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,232 INFO test.py line 342 2389709] Class_197 - potted plant Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,232 INFO test.py line 342 2389709] Class_198 - luggage Result: iou/accuracy 0.0000/0.0000 [2025-03-11 07:02:34,232 INFO test.py line 342 2389709] Class_199 - mattress Result: iou/accuracy 0.0054/0.0054 [2025-03-11 07:02:34,232 INFO test.py line 350 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<<