[2025-03-27 22:36:47,035 INFO train.py line 128 1202667] => Loading config ... [2025-03-27 22:36:47,035 INFO train.py line 130 1202667] Save path: exp/s3dis/semseg-spunet-base-lin [2025-03-27 22:36:47,546 INFO train.py line 131 1202667] Config: weight = 'exp/scannet/pretrain-gs-v4-spunet-base-m5/model/model_last.pth' resume = False evaluate = True test_only = False seed = 39699295 save_path = 'exp/s3dis/semseg-spunet-base-lin' num_worker = 48 batch_size = 24 batch_size_val = None batch_size_test = None epoch = 3000 eval_epoch = 100 clip_grad = None sync_bn = False enable_amp = True empty_cache = False empty_cache_per_epoch = False find_unused_parameters = False 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) evaluate_interval = [(1, 1), (90, 1)] model = dict( type='DefaultSegmentorV2', num_classes=13, backbone_out_channels=96, backbone=dict( type='SpUNet-v1m1', in_channels=6, num_classes=0, 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) ], freeze_backbone=True) optimizer = dict(type='AdamW', lr=0.003, weight_decay=0.05) scheduler = dict( type='OneCycleLR', max_lr=0.003, pct_start=0.05, anneal_strategy='cos', div_factor=10.0, final_div_factor=1000.0) dataset_type = 'S3DISDataset' data_root = 'data/s3dis' data = dict( num_classes=13, ignore_index=-1, names=[ 'ceiling', 'floor', 'wall', 'beam', 'column', 'window', 'door', 'table', 'chair', 'sofa', 'bookcase', 'board', 'clutter' ], train=dict( type='S3DISDataset', split=('Area_1', 'Area_2', 'Area_3', 'Area_4', 'Area_6'), data_root='data/s3dis', 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='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=204800, 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=30), val=dict( type='S3DISDataset', split='Area_5', data_root='data/s3dis', transform=[ dict(type='ToTensor'), dict(type='CenterShift', apply_z=True), dict( type='Copy', keys_dict=dict(coord='origin_coord', segment='origin_segment')), 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', 'origin_coord', 'segment', 'origin_segment'), offset_keys_dict=dict( offset='coord', origin_offset='origin_coord'), feat_keys=('color', 'normal')) ], test_mode=False), test=dict( type='S3DISDataset', split='Area_5', data_root='data/s3dis', 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 = 12 batch_size_per_gpu = 6 batch_size_val_per_gpu = 1 batch_size_test_per_gpu = 1 [2025-03-27 22:36:47,547 INFO train.py line 132 1202667] => Building model ... [2025-03-27 22:36:48,288 INFO train.py line 225 1202667] Num params: 1261 [2025-03-27 22:36:48,324 INFO train.py line 134 1202667] => Building writer ... [2025-03-27 22:36:48,326 INFO train.py line 235 1202667] Tensorboard writer logging dir: exp/s3dis/semseg-spunet-base-lin [2025-03-27 22:36:48,326 INFO train.py line 136 1202667] => Building train dataset & dataloader ... [2025-03-27 22:36:48,327 INFO defaults.py line 68 1202667] Totally 204 x 30 samples in s3dis ('Area_1', 'Area_2', 'Area_3', 'Area_4', 'Area_6') set. [2025-03-27 22:36:48,328 INFO train.py line 138 1202667] => Building val dataset & dataloader ... [2025-03-27 22:36:48,328 INFO defaults.py line 68 1202667] Totally 68 x 1 samples in s3dis Area_5 set. [2025-03-27 22:36:48,328 INFO train.py line 140 1202667] => Building optimize, scheduler, scaler(amp) ... [2025-03-27 22:36:48,329 INFO train.py line 144 1202667] => Building hooks ... [2025-03-27 22:36:48,329 INFO misc.py line 214 1202667] => Loading checkpoint & weight ... [2025-03-27 22:36:48,329 INFO misc.py line 216 1202667] Loading weight at: exp/scannet/pretrain-gs-v4-spunet-base-m5/model/model_last.pth [2025-03-27 22:36:49,036 INFO misc.py line 221 1202667] Loading layer weights with keyword: , replace keyword with: [2025-03-27 22:36:49,041 INFO misc.py line 238 1202667] Missing keys: ['module.seg_head.weight', 'module.seg_head.bias'] [2025-03-27 22:36:49,041 INFO train.py line 151 1202667] >>>>>>>>>>>>>>>> Start Training >>>>>>>>>>>>>>>> [2025-03-27 22:37:28,602 INFO hook.py line 566 1202667] Train: [1/100][50/255] Data 0.002 (0.147) Batch 0.159 (0.381) Remain 02:41:36 loss: 3.4095 Lr: 3.10248e-04 [2025-03-27 22:37:56,329 INFO hook.py line 566 1202667] Train: [1/100][100/255] Data 0.002 (0.128) Batch 0.145 (0.470) Remain 03:19:09 loss: 3.3594 Lr: 3.40838e-04 [2025-03-27 22:38:18,355 INFO hook.py line 566 1202667] Train: [1/100][150/255] Data 0.002 (0.099) Batch 0.143 (0.460) Remain 03:14:27 loss: 3.3038 Lr: 3.91304e-04 [2025-03-27 22:38:48,749 INFO hook.py line 566 1202667] Train: [1/100][200/255] Data 0.003 (0.120) Batch 8.255 (0.498) Remain 03:29:52 loss: 3.2441 Lr: 4.60881e-04 [2025-03-27 22:39:04,998 INFO hook.py line 566 1202667] Train: [1/100][250/255] Data 0.000 (0.097) Batch 0.122 (0.463) Remain 03:14:44 loss: 3.2381 Lr: 5.48511e-04 [2025-03-27 22:39:07,408 INFO misc.py line 135 1202667] Train result: loss: 3.3160 [2025-03-27 22:39:07,466 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 22:39:20,171 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 3.2103 [2025-03-27 22:39:22,068 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 3.1512 [2025-03-27 22:39:22,360 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 3.1273 [2025-03-27 22:39:23,045 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 3.0889 [2025-03-27 22:39:23,314 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 3.1706 [2025-03-27 22:39:23,596 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 2.8813 [2025-03-27 22:39:26,571 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 3.2138 [2025-03-27 22:39:27,035 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 2.9330 [2025-03-27 22:39:27,236 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 3.1183 [2025-03-27 22:39:27,697 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 3.1501 [2025-03-27 22:39:27,898 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 3.1767 [2025-03-27 22:39:28,050 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 2.9856 [2025-03-27 22:39:28,333 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 3.1185 [2025-03-27 22:39:28,950 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 3.1931 [2025-03-27 22:39:29,266 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 3.2408 [2025-03-27 22:39:30,549 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 3.1358 [2025-03-27 22:39:31,791 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 2.8649 [2025-03-27 22:39:32,774 INFO hook.py line 674 1202667] ######################################## [2025-03-27 22:39:32,774 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 22:39:32,774 INFO hook.py line 680 1202667] ######################################## [2025-03-27 22:39:32,774 INFO hook.py line 689 1202667] ceiling : 0.0000 0.0000 [2025-03-27 22:39:32,774 INFO hook.py line 689 1202667] floor : 0.4224 0.9533 [2025-03-27 22:39:32,774 INFO hook.py line 689 1202667] wall : 0.4978 0.9827 [2025-03-27 22:39:32,774 INFO hook.py line 689 1202667] beam : 0.0000 0.0000 [2025-03-27 22:39:32,774 INFO hook.py line 689 1202667] column : 0.0000 0.0000 [2025-03-27 22:39:32,774 INFO hook.py line 689 1202667] window : 0.0000 0.0000 [2025-03-27 22:39:32,774 INFO hook.py line 689 1202667] door : 0.0000 0.0000 [2025-03-27 22:39:32,774 INFO hook.py line 689 1202667] table : 0.0000 0.0000 [2025-03-27 22:39:32,774 INFO hook.py line 689 1202667] chair : 0.0000 0.0000 [2025-03-27 22:39:32,774 INFO hook.py line 689 1202667] sofa : 0.0000 0.0000 [2025-03-27 22:39:32,774 INFO hook.py line 689 1202667] bookcase : 0.0000 0.0000 [2025-03-27 22:39:32,774 INFO hook.py line 689 1202667] board : 0.0000 0.0000 [2025-03-27 22:39:32,774 INFO hook.py line 689 1202667] clutter : 0.1403 0.2091 [2025-03-27 22:39:32,774 INFO hook.py line 690 1202667] ######################################## [2025-03-27 22:39:32,774 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.0816/0.1650/0.4636. [2025-03-27 22:39:32,774 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 22:39:32,800 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.0816 [2025-03-27 22:39:32,801 INFO misc.py line 164 1202667] Currently Best mIoU: 0.0816 [2025-03-27 22:39:32,801 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 22:40:05,590 INFO hook.py line 566 1202667] Train: [2/100][50/255] Data 0.001 (0.002) Batch 4.893 (0.496) Remain 03:28:24 loss: 3.1317 Lr: 6.64162e-04 [2025-03-27 22:40:30,023 INFO hook.py line 566 1202667] Train: [2/100][100/255] Data 0.002 (0.002) Batch 0.147 (0.492) Remain 03:26:20 loss: 3.0578 Lr: 7.85073e-04 [2025-03-27 22:40:55,375 INFO hook.py line 566 1202667] Train: [2/100][150/255] Data 0.002 (0.055) Batch 0.141 (0.497) Remain 03:28:01 loss: 2.9923 Lr: 9.19117e-04 [2025-03-27 22:41:14,891 INFO hook.py line 566 1202667] Train: [2/100][200/255] Data 0.005 (0.046) Batch 0.146 (0.470) Remain 03:16:16 loss: 2.9241 Lr: 1.06426e-03 [2025-03-27 22:41:37,688 INFO hook.py line 566 1202667] Train: [2/100][250/255] Data 0.001 (0.037) Batch 0.113 (0.467) Remain 03:14:40 loss: 3.0046 Lr: 1.21829e-03 [2025-03-27 22:41:38,849 INFO misc.py line 135 1202667] Train result: loss: 3.0098 [2025-03-27 22:41:38,878 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 22:41:51,295 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 2.8661 [2025-03-27 22:41:53,108 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 2.6931 [2025-03-27 22:41:53,392 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 2.7196 [2025-03-27 22:41:54,076 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 2.5949 [2025-03-27 22:41:54,346 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 2.8047 [2025-03-27 22:41:54,629 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 2.1663 [2025-03-27 22:41:57,614 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 2.9052 [2025-03-27 22:41:58,077 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 2.2503 [2025-03-27 22:41:58,277 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 2.6518 [2025-03-27 22:41:58,740 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 2.7599 [2025-03-27 22:41:58,942 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 2.8244 [2025-03-27 22:41:59,094 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 2.4313 [2025-03-27 22:41:59,376 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.7081 [2025-03-27 22:41:59,994 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 2.8340 [2025-03-27 22:42:00,310 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 2.9383 [2025-03-27 22:42:01,595 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 2.7696 [2025-03-27 22:42:02,838 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 2.0534 [2025-03-27 22:42:03,863 INFO hook.py line 674 1202667] ######################################## [2025-03-27 22:42:03,863 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 22:42:03,863 INFO hook.py line 680 1202667] ######################################## [2025-03-27 22:42:03,863 INFO hook.py line 689 1202667] ceiling : 0.0565 0.0569 [2025-03-27 22:42:03,864 INFO hook.py line 689 1202667] floor : 0.6344 0.9392 [2025-03-27 22:42:03,864 INFO hook.py line 689 1202667] wall : 0.4053 0.9934 [2025-03-27 22:42:03,864 INFO hook.py line 689 1202667] beam : 0.0000 0.0000 [2025-03-27 22:42:03,864 INFO hook.py line 689 1202667] column : 0.0000 0.0000 [2025-03-27 22:42:03,864 INFO hook.py line 689 1202667] window : 0.0000 0.0000 [2025-03-27 22:42:03,864 INFO hook.py line 689 1202667] door : 0.0000 0.0000 [2025-03-27 22:42:03,864 INFO hook.py line 689 1202667] table : 0.0000 0.0000 [2025-03-27 22:42:03,864 INFO hook.py line 689 1202667] chair : 0.0006 0.0006 [2025-03-27 22:42:03,864 INFO hook.py line 689 1202667] sofa : 0.0000 0.0000 [2025-03-27 22:42:03,864 INFO hook.py line 689 1202667] bookcase : 0.0000 0.0000 [2025-03-27 22:42:03,864 INFO hook.py line 689 1202667] board : 0.0000 0.0000 [2025-03-27 22:42:03,864 INFO hook.py line 689 1202667] clutter : 0.1259 0.1593 [2025-03-27 22:42:03,864 INFO hook.py line 690 1202667] ######################################## [2025-03-27 22:42:03,864 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.0941/0.1653/0.4711. [2025-03-27 22:42:03,865 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 22:42:03,894 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.0941 [2025-03-27 22:42:03,894 INFO misc.py line 164 1202667] Currently Best mIoU: 0.0941 [2025-03-27 22:42:03,895 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 22:42:35,041 INFO hook.py line 566 1202667] Train: [3/100][50/255] Data 0.002 (0.220) Batch 0.159 (0.423) Remain 02:55:51 loss: 2.7728 Lr: 1.39520e-03 [2025-03-27 22:42:58,524 INFO hook.py line 566 1202667] Train: [3/100][100/255] Data 0.001 (0.107) Batch 2.359 (0.447) Remain 03:05:27 loss: 2.6367 Lr: 1.56018e-03 [2025-03-27 22:43:20,953 INFO hook.py line 566 1202667] Train: [3/100][150/255] Data 0.002 (0.117) Batch 0.129 (0.448) Remain 03:05:18 loss: 2.6839 Lr: 1.72653e-03 [2025-03-27 22:43:44,334 INFO hook.py line 566 1202667] Train: [3/100][200/255] Data 0.005 (0.088) Batch 0.158 (0.453) Remain 03:07:01 loss: 2.5981 Lr: 1.89171e-03 [2025-03-27 22:44:02,836 INFO hook.py line 566 1202667] Train: [3/100][250/255] Data 0.001 (0.080) Batch 0.124 (0.436) Remain 02:59:45 loss: 2.5667 Lr: 2.05322e-03 [2025-03-27 22:44:04,919 INFO misc.py line 135 1202667] Train result: loss: 2.6836 [2025-03-27 22:44:04,946 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 22:44:17,496 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 2.5770 [2025-03-27 22:44:19,253 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 2.3307 [2025-03-27 22:44:19,541 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 2.3882 [2025-03-27 22:44:20,227 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 2.2405 [2025-03-27 22:44:20,495 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 2.5620 [2025-03-27 22:44:20,776 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 1.6692 [2025-03-27 22:44:23,759 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 2.6660 [2025-03-27 22:44:24,224 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.7799 [2025-03-27 22:44:24,424 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 2.2881 [2025-03-27 22:44:24,889 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 2.4868 [2025-03-27 22:44:25,090 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 2.5373 [2025-03-27 22:44:25,243 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 2.0247 [2025-03-27 22:44:25,525 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.4624 [2025-03-27 22:44:26,143 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 2.5409 [2025-03-27 22:44:26,459 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 2.7397 [2025-03-27 22:44:27,741 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 2.4821 [2025-03-27 22:44:28,986 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 1.4701 [2025-03-27 22:44:29,906 INFO hook.py line 674 1202667] ######################################## [2025-03-27 22:44:29,906 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 22:44:29,906 INFO hook.py line 680 1202667] ######################################## [2025-03-27 22:44:29,906 INFO hook.py line 689 1202667] ceiling : 0.5531 0.6333 [2025-03-27 22:44:29,906 INFO hook.py line 689 1202667] floor : 0.6419 0.9537 [2025-03-27 22:44:29,907 INFO hook.py line 689 1202667] wall : 0.5273 0.9852 [2025-03-27 22:44:29,907 INFO hook.py line 689 1202667] beam : 0.0000 0.0000 [2025-03-27 22:44:29,907 INFO hook.py line 689 1202667] column : 0.0000 0.0000 [2025-03-27 22:44:29,907 INFO hook.py line 689 1202667] window : 0.0000 0.0000 [2025-03-27 22:44:29,907 INFO hook.py line 689 1202667] door : 0.0178 0.0190 [2025-03-27 22:44:29,907 INFO hook.py line 689 1202667] table : 0.0041 0.0041 [2025-03-27 22:44:29,907 INFO hook.py line 689 1202667] chair : 0.0928 0.1038 [2025-03-27 22:44:29,907 INFO hook.py line 689 1202667] sofa : 0.0000 0.0000 [2025-03-27 22:44:29,907 INFO hook.py line 689 1202667] bookcase : 0.0006 0.0006 [2025-03-27 22:44:29,907 INFO hook.py line 689 1202667] board : 0.0000 0.0000 [2025-03-27 22:44:29,907 INFO hook.py line 689 1202667] clutter : 0.1712 0.2455 [2025-03-27 22:44:29,907 INFO hook.py line 690 1202667] ######################################## [2025-03-27 22:44:29,907 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.1545/0.2266/0.5941. [2025-03-27 22:44:29,907 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 22:44:29,933 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.1545 [2025-03-27 22:44:29,934 INFO misc.py line 164 1202667] Currently Best mIoU: 0.1545 [2025-03-27 22:44:29,934 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 22:44:58,283 INFO hook.py line 566 1202667] Train: [4/100][50/255] Data 0.003 (0.091) Batch 1.805 (0.427) Remain 02:55:35 loss: 2.4598 Lr: 2.22372e-03 [2025-03-27 22:45:23,388 INFO hook.py line 566 1202667] Train: [4/100][100/255] Data 0.002 (0.131) Batch 1.836 (0.466) Remain 03:11:10 loss: 2.4955 Lr: 2.36965e-03 [2025-03-27 22:45:47,260 INFO hook.py line 566 1202667] Train: [4/100][150/255] Data 0.002 (0.087) Batch 0.148 (0.470) Remain 03:12:25 loss: 2.4651 Lr: 2.50466e-03 [2025-03-27 22:46:17,915 INFO hook.py line 566 1202667] Train: [4/100][200/255] Data 0.002 (0.087) Batch 7.131 (0.506) Remain 03:26:55 loss: 2.4933 Lr: 2.62669e-03 [2025-03-27 22:46:33,770 INFO hook.py line 566 1202667] Train: [4/100][250/255] Data 0.001 (0.074) Batch 0.108 (0.468) Remain 03:10:54 loss: 2.2263 Lr: 2.73390e-03 [2025-03-27 22:46:35,064 INFO misc.py line 135 1202667] Train result: loss: 2.4108 [2025-03-27 22:46:35,097 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 22:46:46,701 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 2.3394 [2025-03-27 22:46:49,153 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 2.0794 [2025-03-27 22:46:49,452 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 2.1625 [2025-03-27 22:46:50,139 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.9998 [2025-03-27 22:46:50,409 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 2.3709 [2025-03-27 22:46:50,691 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 1.4143 [2025-03-27 22:46:53,672 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 2.4532 [2025-03-27 22:46:54,134 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.5342 [2025-03-27 22:46:54,336 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 2.0247 [2025-03-27 22:46:54,799 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 2.2788 [2025-03-27 22:46:55,002 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 2.3051 [2025-03-27 22:46:55,156 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.8248 [2025-03-27 22:46:55,438 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.3390 [2025-03-27 22:46:56,058 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 2.3238 [2025-03-27 22:46:56,375 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 2.5587 [2025-03-27 22:46:57,661 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 2.2935 [2025-03-27 22:46:58,905 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 1.1568 [2025-03-27 22:46:59,837 INFO hook.py line 674 1202667] ######################################## [2025-03-27 22:46:59,837 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 22:46:59,837 INFO hook.py line 680 1202667] ######################################## [2025-03-27 22:46:59,837 INFO hook.py line 689 1202667] ceiling : 0.6544 0.7957 [2025-03-27 22:46:59,837 INFO hook.py line 689 1202667] floor : 0.6983 0.9615 [2025-03-27 22:46:59,837 INFO hook.py line 689 1202667] wall : 0.5841 0.9728 [2025-03-27 22:46:59,837 INFO hook.py line 689 1202667] beam : 0.0000 0.0000 [2025-03-27 22:46:59,837 INFO hook.py line 689 1202667] column : 0.0000 0.0000 [2025-03-27 22:46:59,837 INFO hook.py line 689 1202667] window : 0.0000 0.0000 [2025-03-27 22:46:59,837 INFO hook.py line 689 1202667] door : 0.0457 0.0579 [2025-03-27 22:46:59,837 INFO hook.py line 689 1202667] table : 0.0751 0.0788 [2025-03-27 22:46:59,837 INFO hook.py line 689 1202667] chair : 0.2070 0.2600 [2025-03-27 22:46:59,837 INFO hook.py line 689 1202667] sofa : 0.0000 0.0000 [2025-03-27 22:46:59,837 INFO hook.py line 689 1202667] bookcase : 0.0178 0.0178 [2025-03-27 22:46:59,837 INFO hook.py line 689 1202667] board : 0.0000 0.0000 [2025-03-27 22:46:59,837 INFO hook.py line 689 1202667] clutter : 0.2005 0.3079 [2025-03-27 22:46:59,837 INFO hook.py line 690 1202667] ######################################## [2025-03-27 22:46:59,837 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.1910/0.2656/0.6378. [2025-03-27 22:46:59,838 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 22:46:59,867 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.1910 [2025-03-27 22:46:59,867 INFO misc.py line 164 1202667] Currently Best mIoU: 0.1910 [2025-03-27 22:46:59,868 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 22:47:32,786 INFO hook.py line 566 1202667] Train: [5/100][50/255] Data 3.656 (0.204) Batch 3.802 (0.470) Remain 03:11:29 loss: 2.1664 Lr: 2.83276e-03 [2025-03-27 22:47:55,773 INFO hook.py line 566 1202667] Train: [5/100][100/255] Data 0.002 (0.127) Batch 0.132 (0.465) Remain 03:08:53 loss: 2.0979 Lr: 2.90382e-03 [2025-03-27 22:48:19,681 INFO hook.py line 566 1202667] Train: [5/100][150/255] Data 0.002 (0.116) Batch 0.141 (0.469) Remain 03:10:20 loss: 2.2173 Lr: 2.95585e-03 [2025-03-27 22:48:41,139 INFO hook.py line 566 1202667] Train: [5/100][200/255] Data 0.002 (0.093) Batch 0.155 (0.459) Remain 03:05:48 loss: 2.1591 Lr: 2.98805e-03 [2025-03-27 22:49:03,075 INFO hook.py line 566 1202667] Train: [5/100][250/255] Data 4.665 (0.095) Batch 4.788 (0.455) Remain 03:03:45 loss: 2.1299 Lr: 2.99993e-03 [2025-03-27 22:49:05,690 INFO misc.py line 135 1202667] Train result: loss: 2.2093 [2025-03-27 22:49:05,720 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 22:49:16,557 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 2.1838 [2025-03-27 22:49:18,878 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.9168 [2025-03-27 22:49:19,177 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 2.0327 [2025-03-27 22:49:19,863 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.8417 [2025-03-27 22:49:20,133 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 2.2270 [2025-03-27 22:49:20,416 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 1.2719 [2025-03-27 22:49:23,402 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 2.3107 [2025-03-27 22:49:23,864 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.3989 [2025-03-27 22:49:24,066 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.8446 [2025-03-27 22:49:24,531 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 2.1137 [2025-03-27 22:49:24,735 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 2.1393 [2025-03-27 22:49:24,889 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.7156 [2025-03-27 22:49:25,171 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.2796 [2025-03-27 22:49:25,791 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 2.1744 [2025-03-27 22:49:26,109 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 2.4220 [2025-03-27 22:49:27,394 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 2.1801 [2025-03-27 22:49:28,637 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.9825 [2025-03-27 22:49:29,614 INFO hook.py line 674 1202667] ######################################## [2025-03-27 22:49:29,614 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 22:49:29,614 INFO hook.py line 680 1202667] ######################################## [2025-03-27 22:49:29,614 INFO hook.py line 689 1202667] ceiling : 0.6933 0.8493 [2025-03-27 22:49:29,614 INFO hook.py line 689 1202667] floor : 0.7431 0.9675 [2025-03-27 22:49:29,614 INFO hook.py line 689 1202667] wall : 0.6087 0.9653 [2025-03-27 22:49:29,614 INFO hook.py line 689 1202667] beam : 0.0000 0.0000 [2025-03-27 22:49:29,614 INFO hook.py line 689 1202667] column : 0.0000 0.0000 [2025-03-27 22:49:29,614 INFO hook.py line 689 1202667] window : 0.0000 0.0000 [2025-03-27 22:49:29,614 INFO hook.py line 689 1202667] door : 0.0603 0.0850 [2025-03-27 22:49:29,614 INFO hook.py line 689 1202667] table : 0.1769 0.2036 [2025-03-27 22:49:29,614 INFO hook.py line 689 1202667] chair : 0.2922 0.3940 [2025-03-27 22:49:29,614 INFO hook.py line 689 1202667] sofa : 0.0000 0.0000 [2025-03-27 22:49:29,614 INFO hook.py line 689 1202667] bookcase : 0.0486 0.0492 [2025-03-27 22:49:29,614 INFO hook.py line 689 1202667] board : 0.0000 0.0000 [2025-03-27 22:49:29,614 INFO hook.py line 689 1202667] clutter : 0.2179 0.3353 [2025-03-27 22:49:29,614 INFO hook.py line 690 1202667] ######################################## [2025-03-27 22:49:29,614 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.2185/0.2961/0.6607. [2025-03-27 22:49:29,615 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 22:49:29,641 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.2185 [2025-03-27 22:49:29,641 INFO misc.py line 164 1202667] Currently Best mIoU: 0.2185 [2025-03-27 22:49:29,641 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 22:50:01,209 INFO hook.py line 566 1202667] Train: [6/100][50/255] Data 0.003 (0.040) Batch 1.415 (0.460) Remain 03:05:29 loss: 2.0750 Lr: 2.99997e-03 [2025-03-27 22:50:23,858 INFO hook.py line 566 1202667] Train: [6/100][100/255] Data 0.002 (0.021) Batch 0.330 (0.457) Remain 03:03:34 loss: 1.9041 Lr: 2.99987e-03 [2025-03-27 22:50:43,165 INFO hook.py line 566 1202667] Train: [6/100][150/255] Data 0.003 (0.016) Batch 0.147 (0.433) Remain 02:53:34 loss: 2.0930 Lr: 2.99971e-03 [2025-03-27 22:51:08,333 INFO hook.py line 566 1202667] Train: [6/100][200/255] Data 0.002 (0.013) Batch 0.141 (0.451) Remain 03:00:24 loss: 2.1139 Lr: 2.99949e-03 [2025-03-27 22:51:31,975 INFO hook.py line 566 1202667] Train: [6/100][250/255] Data 0.001 (0.017) Batch 0.113 (0.455) Remain 03:01:50 loss: 1.8926 Lr: 2.99921e-03 [2025-03-27 22:51:32,674 INFO misc.py line 135 1202667] Train result: loss: 2.0790 [2025-03-27 22:51:32,701 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 22:51:46,084 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 2.0754 [2025-03-27 22:51:47,812 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.8060 [2025-03-27 22:51:48,110 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.9223 [2025-03-27 22:51:48,795 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.7298 [2025-03-27 22:51:49,065 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 2.1055 [2025-03-27 22:51:49,347 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 1.1867 [2025-03-27 22:51:52,329 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 2.1832 [2025-03-27 22:51:52,791 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.3269 [2025-03-27 22:51:52,993 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.7155 [2025-03-27 22:51:53,456 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.9989 [2025-03-27 22:51:53,659 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 2.0052 [2025-03-27 22:51:53,814 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.6490 [2025-03-27 22:51:54,100 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.2407 [2025-03-27 22:51:54,720 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 2.0682 [2025-03-27 22:51:55,037 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 2.2906 [2025-03-27 22:51:56,322 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 2.0889 [2025-03-27 22:51:57,568 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.8971 [2025-03-27 22:51:58,519 INFO hook.py line 674 1202667] ######################################## [2025-03-27 22:51:58,519 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 22:51:58,519 INFO hook.py line 680 1202667] ######################################## [2025-03-27 22:51:58,519 INFO hook.py line 689 1202667] ceiling : 0.7187 0.8768 [2025-03-27 22:51:58,519 INFO hook.py line 689 1202667] floor : 0.7786 0.9696 [2025-03-27 22:51:58,519 INFO hook.py line 689 1202667] wall : 0.6244 0.9598 [2025-03-27 22:51:58,519 INFO hook.py line 689 1202667] beam : 0.0000 0.0000 [2025-03-27 22:51:58,519 INFO hook.py line 689 1202667] column : 0.0000 0.0000 [2025-03-27 22:51:58,519 INFO hook.py line 689 1202667] window : 0.0001 0.0001 [2025-03-27 22:51:58,519 INFO hook.py line 689 1202667] door : 0.0687 0.1016 [2025-03-27 22:51:58,519 INFO hook.py line 689 1202667] table : 0.2528 0.3128 [2025-03-27 22:51:58,519 INFO hook.py line 689 1202667] chair : 0.3313 0.4441 [2025-03-27 22:51:58,519 INFO hook.py line 689 1202667] sofa : 0.0000 0.0000 [2025-03-27 22:51:58,520 INFO hook.py line 689 1202667] bookcase : 0.0870 0.0892 [2025-03-27 22:51:58,520 INFO hook.py line 689 1202667] board : 0.0230 0.0232 [2025-03-27 22:51:58,520 INFO hook.py line 689 1202667] clutter : 0.2327 0.3615 [2025-03-27 22:51:58,520 INFO hook.py line 690 1202667] ######################################## [2025-03-27 22:51:58,520 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.2398/0.3184/0.6771. [2025-03-27 22:51:58,520 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 22:51:58,545 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.2398 [2025-03-27 22:51:58,546 INFO misc.py line 164 1202667] Currently Best mIoU: 0.2398 [2025-03-27 22:51:58,546 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 22:52:28,842 INFO hook.py line 566 1202667] Train: [7/100][50/255] Data 0.001 (0.017) Batch 0.147 (0.509) Remain 03:23:02 loss: 2.0673 Lr: 2.99882e-03 [2025-03-27 22:52:51,493 INFO hook.py line 566 1202667] Train: [7/100][100/255] Data 0.001 (0.043) Batch 0.152 (0.480) Remain 03:11:04 loss: 1.7468 Lr: 2.99840e-03 [2025-03-27 22:53:14,222 INFO hook.py line 566 1202667] Train: [7/100][150/255] Data 0.002 (0.041) Batch 0.151 (0.472) Remain 03:07:12 loss: 2.1968 Lr: 2.99792e-03 [2025-03-27 22:53:38,406 INFO hook.py line 566 1202667] Train: [7/100][200/255] Data 0.002 (0.033) Batch 0.175 (0.475) Remain 03:08:01 loss: 1.9744 Lr: 2.99738e-03 [2025-03-27 22:54:01,986 INFO hook.py line 566 1202667] Train: [7/100][250/255] Data 0.001 (0.048) Batch 0.095 (0.474) Remain 03:07:23 loss: 2.0533 Lr: 2.99677e-03 [2025-03-27 22:54:02,552 INFO misc.py line 135 1202667] Train result: loss: 1.9942 [2025-03-27 22:54:02,583 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 22:54:14,756 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 2.0241 [2025-03-27 22:54:16,497 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.7649 [2025-03-27 22:54:16,796 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.8898 [2025-03-27 22:54:17,481 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.6709 [2025-03-27 22:54:17,750 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 2.0347 [2025-03-27 22:54:18,032 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 1.1379 [2025-03-27 22:54:21,015 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 2.1176 [2025-03-27 22:54:21,482 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.2887 [2025-03-27 22:54:21,683 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.6410 [2025-03-27 22:54:22,147 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.9088 [2025-03-27 22:54:22,350 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.9324 [2025-03-27 22:54:22,503 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.6200 [2025-03-27 22:54:22,787 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.2394 [2025-03-27 22:54:23,406 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 2.0077 [2025-03-27 22:54:23,725 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 2.2162 [2025-03-27 22:54:25,007 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 2.0453 [2025-03-27 22:54:26,253 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.8474 [2025-03-27 22:54:27,464 INFO hook.py line 674 1202667] ######################################## [2025-03-27 22:54:27,465 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 22:54:27,465 INFO hook.py line 680 1202667] ######################################## [2025-03-27 22:54:27,465 INFO hook.py line 689 1202667] ceiling : 0.7306 0.8857 [2025-03-27 22:54:27,465 INFO hook.py line 689 1202667] floor : 0.7932 0.9714 [2025-03-27 22:54:27,465 INFO hook.py line 689 1202667] wall : 0.6343 0.9557 [2025-03-27 22:54:27,465 INFO hook.py line 689 1202667] beam : 0.0000 0.0000 [2025-03-27 22:54:27,465 INFO hook.py line 689 1202667] column : 0.0000 0.0000 [2025-03-27 22:54:27,465 INFO hook.py line 689 1202667] window : 0.0035 0.0035 [2025-03-27 22:54:27,465 INFO hook.py line 689 1202667] door : 0.0737 0.1108 [2025-03-27 22:54:27,466 INFO hook.py line 689 1202667] table : 0.2857 0.3655 [2025-03-27 22:54:27,466 INFO hook.py line 689 1202667] chair : 0.3582 0.4824 [2025-03-27 22:54:27,466 INFO hook.py line 689 1202667] sofa : 0.0000 0.0000 [2025-03-27 22:54:27,466 INFO hook.py line 689 1202667] bookcase : 0.0994 0.1023 [2025-03-27 22:54:27,466 INFO hook.py line 689 1202667] board : 0.0951 0.1069 [2025-03-27 22:54:27,466 INFO hook.py line 689 1202667] clutter : 0.2416 0.3799 [2025-03-27 22:54:27,466 INFO hook.py line 690 1202667] ######################################## [2025-03-27 22:54:27,466 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.2550/0.3357/0.6851. [2025-03-27 22:54:27,467 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 22:54:27,493 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.2550 [2025-03-27 22:54:27,494 INFO misc.py line 164 1202667] Currently Best mIoU: 0.2550 [2025-03-27 22:54:27,494 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 22:54:57,778 INFO hook.py line 566 1202667] Train: [8/100][50/255] Data 0.002 (0.127) Batch 0.146 (0.463) Remain 03:02:47 loss: 2.0501 Lr: 2.99603e-03 [2025-03-27 22:55:17,272 INFO hook.py line 566 1202667] Train: [8/100][100/255] Data 0.001 (0.103) Batch 0.155 (0.426) Remain 02:47:28 loss: 2.0000 Lr: 2.99529e-03 [2025-03-27 22:55:42,264 INFO hook.py line 566 1202667] Train: [8/100][150/255] Data 0.002 (0.095) Batch 0.145 (0.451) Remain 02:57:03 loss: 1.6972 Lr: 2.99449e-03 [2025-03-27 22:56:10,105 INFO hook.py line 566 1202667] Train: [8/100][200/255] Data 0.001 (0.091) Batch 0.122 (0.478) Remain 03:07:13 loss: 1.8933 Lr: 2.99363e-03 [2025-03-27 22:56:29,587 INFO hook.py line 566 1202667] Train: [8/100][250/255] Data 2.266 (0.089) Batch 2.367 (0.460) Remain 02:59:51 loss: 1.7976 Lr: 2.99270e-03 [2025-03-27 22:56:30,385 INFO misc.py line 135 1202667] Train result: loss: 1.9408 [2025-03-27 22:56:30,415 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 22:56:42,048 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.9861 [2025-03-27 22:56:43,791 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.7327 [2025-03-27 22:56:44,090 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.8570 [2025-03-27 22:56:44,775 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.6310 [2025-03-27 22:56:45,045 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.9847 [2025-03-27 22:56:45,328 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 1.0877 [2025-03-27 22:56:48,315 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 2.0615 [2025-03-27 22:56:48,778 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.2491 [2025-03-27 22:56:48,980 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.5843 [2025-03-27 22:56:49,444 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.8616 [2025-03-27 22:56:49,647 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.8792 [2025-03-27 22:56:49,802 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.5773 [2025-03-27 22:56:50,086 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.2238 [2025-03-27 22:56:50,706 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.9646 [2025-03-27 22:56:51,023 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 2.1540 [2025-03-27 22:56:52,308 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 2.0036 [2025-03-27 22:56:53,553 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.8031 [2025-03-27 22:56:54,571 INFO hook.py line 674 1202667] ######################################## [2025-03-27 22:56:54,572 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 22:56:54,572 INFO hook.py line 680 1202667] ######################################## [2025-03-27 22:56:54,572 INFO hook.py line 689 1202667] ceiling : 0.7445 0.8967 [2025-03-27 22:56:54,572 INFO hook.py line 689 1202667] floor : 0.8122 0.9712 [2025-03-27 22:56:54,572 INFO hook.py line 689 1202667] wall : 0.6391 0.9544 [2025-03-27 22:56:54,572 INFO hook.py line 689 1202667] beam : 0.0000 0.0000 [2025-03-27 22:56:54,572 INFO hook.py line 689 1202667] column : 0.0000 0.0000 [2025-03-27 22:56:54,572 INFO hook.py line 689 1202667] window : 0.0134 0.0135 [2025-03-27 22:56:54,572 INFO hook.py line 689 1202667] door : 0.0750 0.1105 [2025-03-27 22:56:54,572 INFO hook.py line 689 1202667] table : 0.3063 0.4022 [2025-03-27 22:56:54,572 INFO hook.py line 689 1202667] chair : 0.3749 0.4928 [2025-03-27 22:56:54,572 INFO hook.py line 689 1202667] sofa : 0.0000 0.0000 [2025-03-27 22:56:54,572 INFO hook.py line 689 1202667] bookcase : 0.1087 0.1121 [2025-03-27 22:56:54,572 INFO hook.py line 689 1202667] board : 0.1299 0.1576 [2025-03-27 22:56:54,572 INFO hook.py line 689 1202667] clutter : 0.2500 0.3984 [2025-03-27 22:56:54,572 INFO hook.py line 690 1202667] ######################################## [2025-03-27 22:56:54,572 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.2657/0.3469/0.6920. [2025-03-27 22:56:54,573 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 22:56:54,601 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.2657 [2025-03-27 22:56:54,601 INFO misc.py line 164 1202667] Currently Best mIoU: 0.2657 [2025-03-27 22:56:54,601 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 22:57:23,398 INFO hook.py line 566 1202667] Train: [9/100][50/255] Data 0.003 (0.049) Batch 0.287 (0.430) Remain 02:47:50 loss: 1.8953 Lr: 2.99161e-03 [2025-03-27 22:57:52,231 INFO hook.py line 566 1202667] Train: [9/100][100/255] Data 0.001 (0.074) Batch 0.137 (0.506) Remain 03:16:52 loss: 1.7248 Lr: 2.99055e-03 [2025-03-27 22:58:15,645 INFO hook.py line 566 1202667] Train: [9/100][150/255] Data 0.001 (0.080) Batch 2.039 (0.493) Remain 03:11:31 loss: 1.9780 Lr: 2.98943e-03 [2025-03-27 22:58:37,610 INFO hook.py line 566 1202667] Train: [9/100][200/255] Data 0.001 (0.134) Batch 0.143 (0.479) Remain 03:05:49 loss: 1.7879 Lr: 2.98825e-03 [2025-03-27 22:59:00,021 INFO hook.py line 566 1202667] Train: [9/100][250/255] Data 0.001 (0.158) Batch 0.119 (0.473) Remain 03:02:59 loss: 1.7945 Lr: 2.98700e-03 [2025-03-27 22:59:00,606 INFO misc.py line 135 1202667] Train result: loss: 1.8916 [2025-03-27 22:59:00,637 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 22:59:14,710 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.9523 [2025-03-27 22:59:16,470 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.6936 [2025-03-27 22:59:16,767 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.8266 [2025-03-27 22:59:17,451 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.5917 [2025-03-27 22:59:17,722 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.9327 [2025-03-27 22:59:18,007 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 1.0622 [2025-03-27 22:59:20,993 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 2.0101 [2025-03-27 22:59:21,458 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.2328 [2025-03-27 22:59:21,660 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.5315 [2025-03-27 22:59:22,124 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.7998 [2025-03-27 22:59:22,327 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.8253 [2025-03-27 22:59:22,481 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.5633 [2025-03-27 22:59:22,763 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.2189 [2025-03-27 22:59:23,380 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.9220 [2025-03-27 22:59:23,697 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 2.0951 [2025-03-27 22:59:24,981 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.9663 [2025-03-27 22:59:26,226 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.7816 [2025-03-27 22:59:27,267 INFO hook.py line 674 1202667] ######################################## [2025-03-27 22:59:27,268 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 22:59:27,268 INFO hook.py line 680 1202667] ######################################## [2025-03-27 22:59:27,268 INFO hook.py line 689 1202667] ceiling : 0.7541 0.9057 [2025-03-27 22:59:27,268 INFO hook.py line 689 1202667] floor : 0.8224 0.9717 [2025-03-27 22:59:27,268 INFO hook.py line 689 1202667] wall : 0.6479 0.9500 [2025-03-27 22:59:27,268 INFO hook.py line 689 1202667] beam : 0.0000 0.0000 [2025-03-27 22:59:27,268 INFO hook.py line 689 1202667] column : 0.0000 0.0000 [2025-03-27 22:59:27,268 INFO hook.py line 689 1202667] window : 0.0324 0.0329 [2025-03-27 22:59:27,268 INFO hook.py line 689 1202667] door : 0.0804 0.1207 [2025-03-27 22:59:27,268 INFO hook.py line 689 1202667] table : 0.3136 0.4183 [2025-03-27 22:59:27,269 INFO hook.py line 689 1202667] chair : 0.3946 0.5320 [2025-03-27 22:59:27,269 INFO hook.py line 689 1202667] sofa : 0.0000 0.0000 [2025-03-27 22:59:27,269 INFO hook.py line 689 1202667] bookcase : 0.1202 0.1246 [2025-03-27 22:59:27,269 INFO hook.py line 689 1202667] board : 0.1727 0.2372 [2025-03-27 22:59:27,269 INFO hook.py line 689 1202667] clutter : 0.2534 0.4042 [2025-03-27 22:59:27,269 INFO hook.py line 690 1202667] ######################################## [2025-03-27 22:59:27,269 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.2763/0.3613/0.6976. [2025-03-27 22:59:27,270 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 22:59:27,298 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.2763 [2025-03-27 22:59:27,298 INFO misc.py line 164 1202667] Currently Best mIoU: 0.2763 [2025-03-27 22:59:27,298 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 22:59:59,950 INFO hook.py line 566 1202667] Train: [10/100][50/255] Data 0.002 (0.002) Batch 2.045 (0.493) Remain 03:10:05 loss: 1.9930 Lr: 2.98556e-03 [2025-03-27 23:00:22,782 INFO hook.py line 566 1202667] Train: [10/100][100/255] Data 0.001 (0.107) Batch 0.128 (0.474) Remain 03:02:32 loss: 1.7945 Lr: 2.98418e-03 [2025-03-27 23:00:43,496 INFO hook.py line 566 1202667] Train: [10/100][150/255] Data 0.002 (0.100) Batch 0.138 (0.454) Remain 02:54:20 loss: 1.7761 Lr: 2.98274e-03 [2025-03-27 23:01:11,154 INFO hook.py line 566 1202667] Train: [10/100][200/255] Data 0.001 (0.095) Batch 1.068 (0.479) Remain 03:03:38 loss: 1.8510 Lr: 2.98124e-03 [2025-03-27 23:01:28,886 INFO hook.py line 566 1202667] Train: [10/100][250/255] Data 0.001 (0.085) Batch 0.657 (0.454) Remain 02:53:36 loss: 1.7819 Lr: 2.97967e-03 [2025-03-27 23:01:29,475 INFO misc.py line 135 1202667] Train result: loss: 1.8424 [2025-03-27 23:01:29,508 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 23:01:42,400 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.9221 [2025-03-27 23:01:44,142 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.6565 [2025-03-27 23:01:44,442 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.7867 [2025-03-27 23:01:45,124 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.5600 [2025-03-27 23:01:45,393 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.8834 [2025-03-27 23:01:45,677 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 1.0396 [2025-03-27 23:01:48,659 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.9558 [2025-03-27 23:01:49,122 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.1972 [2025-03-27 23:01:49,324 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.4775 [2025-03-27 23:01:49,790 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.7709 [2025-03-27 23:01:49,993 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.7822 [2025-03-27 23:01:50,147 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.5474 [2025-03-27 23:01:50,429 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1924 [2025-03-27 23:01:51,048 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.8886 [2025-03-27 23:01:51,366 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 2.0383 [2025-03-27 23:01:52,653 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.9383 [2025-03-27 23:01:53,899 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.7537 [2025-03-27 23:01:54,912 INFO hook.py line 674 1202667] ######################################## [2025-03-27 23:01:54,912 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 23:01:54,912 INFO hook.py line 680 1202667] ######################################## [2025-03-27 23:01:54,912 INFO hook.py line 689 1202667] ceiling : 0.7598 0.9099 [2025-03-27 23:01:54,912 INFO hook.py line 689 1202667] floor : 0.8306 0.9716 [2025-03-27 23:01:54,913 INFO hook.py line 689 1202667] wall : 0.6496 0.9516 [2025-03-27 23:01:54,913 INFO hook.py line 689 1202667] beam : 0.0003 0.0009 [2025-03-27 23:01:54,913 INFO hook.py line 689 1202667] column : 0.0000 0.0000 [2025-03-27 23:01:54,913 INFO hook.py line 689 1202667] window : 0.0423 0.0432 [2025-03-27 23:01:54,913 INFO hook.py line 689 1202667] door : 0.0814 0.1218 [2025-03-27 23:01:54,913 INFO hook.py line 689 1202667] table : 0.3220 0.4301 [2025-03-27 23:01:54,913 INFO hook.py line 689 1202667] chair : 0.4084 0.5476 [2025-03-27 23:01:54,913 INFO hook.py line 689 1202667] sofa : 0.0000 0.0000 [2025-03-27 23:01:54,913 INFO hook.py line 689 1202667] bookcase : 0.1446 0.1519 [2025-03-27 23:01:54,913 INFO hook.py line 689 1202667] board : 0.1963 0.2852 [2025-03-27 23:01:54,913 INFO hook.py line 689 1202667] clutter : 0.2542 0.3935 [2025-03-27 23:01:54,914 INFO hook.py line 690 1202667] ######################################## [2025-03-27 23:01:54,914 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.2838/0.3698/0.7024. [2025-03-27 23:01:54,915 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 23:01:54,943 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.2838 [2025-03-27 23:01:54,943 INFO misc.py line 164 1202667] Currently Best mIoU: 0.2838 [2025-03-27 23:01:54,943 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 23:02:26,443 INFO hook.py line 566 1202667] Train: [11/100][50/255] Data 0.002 (0.174) Batch 0.118 (0.512) Remain 03:15:21 loss: 1.8978 Lr: 2.97788e-03 [2025-03-27 23:02:46,702 INFO hook.py line 566 1202667] Train: [11/100][100/255] Data 0.002 (0.127) Batch 0.117 (0.457) Remain 02:53:59 loss: 1.9136 Lr: 2.97618e-03 [2025-03-27 23:03:07,673 INFO hook.py line 566 1202667] Train: [11/100][150/255] Data 0.002 (0.085) Batch 0.142 (0.444) Remain 02:48:46 loss: 1.9410 Lr: 2.97443e-03 [2025-03-27 23:03:33,073 INFO hook.py line 566 1202667] Train: [11/100][200/255] Data 0.002 (0.087) Batch 0.138 (0.460) Remain 02:54:32 loss: 1.8850 Lr: 2.97261e-03 [2025-03-27 23:03:53,578 INFO hook.py line 566 1202667] Train: [11/100][250/255] Data 0.001 (0.073) Batch 0.111 (0.450) Remain 02:50:18 loss: 1.7977 Lr: 2.97073e-03 [2025-03-27 23:03:54,499 INFO misc.py line 135 1202667] Train result: loss: 1.8408 [2025-03-27 23:03:54,527 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 23:04:07,915 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.9015 [2025-03-27 23:04:09,661 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.6367 [2025-03-27 23:04:09,959 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.7743 [2025-03-27 23:04:10,648 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.5372 [2025-03-27 23:04:10,918 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.8588 [2025-03-27 23:04:11,199 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 1.0203 [2025-03-27 23:04:14,189 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.9261 [2025-03-27 23:04:14,653 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.1959 [2025-03-27 23:04:14,856 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.4596 [2025-03-27 23:04:15,320 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.7455 [2025-03-27 23:04:15,523 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.7544 [2025-03-27 23:04:15,676 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.5307 [2025-03-27 23:04:15,958 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1940 [2025-03-27 23:04:16,577 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.8667 [2025-03-27 23:04:16,895 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 2.0034 [2025-03-27 23:04:18,179 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.9166 [2025-03-27 23:04:19,426 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.7488 [2025-03-27 23:04:20,544 INFO hook.py line 674 1202667] ######################################## [2025-03-27 23:04:20,544 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 23:04:20,544 INFO hook.py line 680 1202667] ######################################## [2025-03-27 23:04:20,544 INFO hook.py line 689 1202667] ceiling : 0.7636 0.9106 [2025-03-27 23:04:20,544 INFO hook.py line 689 1202667] floor : 0.8346 0.9719 [2025-03-27 23:04:20,544 INFO hook.py line 689 1202667] wall : 0.6566 0.9472 [2025-03-27 23:04:20,545 INFO hook.py line 689 1202667] beam : 0.0003 0.0009 [2025-03-27 23:04:20,545 INFO hook.py line 689 1202667] column : 0.0000 0.0000 [2025-03-27 23:04:20,545 INFO hook.py line 689 1202667] window : 0.0606 0.0623 [2025-03-27 23:04:20,545 INFO hook.py line 689 1202667] door : 0.0839 0.1229 [2025-03-27 23:04:20,545 INFO hook.py line 689 1202667] table : 0.3300 0.4472 [2025-03-27 23:04:20,545 INFO hook.py line 689 1202667] chair : 0.4187 0.5743 [2025-03-27 23:04:20,545 INFO hook.py line 689 1202667] sofa : 0.0000 0.0000 [2025-03-27 23:04:20,545 INFO hook.py line 689 1202667] bookcase : 0.1555 0.1640 [2025-03-27 23:04:20,545 INFO hook.py line 689 1202667] board : 0.2238 0.3333 [2025-03-27 23:04:20,545 INFO hook.py line 689 1202667] clutter : 0.2581 0.4079 [2025-03-27 23:04:20,545 INFO hook.py line 690 1202667] ######################################## [2025-03-27 23:04:20,545 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.2912/0.3802/0.7063. [2025-03-27 23:04:20,545 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 23:04:20,571 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.2912 [2025-03-27 23:04:20,571 INFO misc.py line 164 1202667] Currently Best mIoU: 0.2912 [2025-03-27 23:04:20,571 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 23:04:51,106 INFO hook.py line 566 1202667] Train: [12/100][50/255] Data 0.001 (0.284) Batch 0.127 (0.481) Remain 03:01:40 loss: 1.6559 Lr: 2.96859e-03 [2025-03-27 23:05:13,462 INFO hook.py line 566 1202667] Train: [12/100][100/255] Data 0.002 (0.158) Batch 1.399 (0.464) Remain 02:54:37 loss: 1.7787 Lr: 2.96657e-03 [2025-03-27 23:05:37,637 INFO hook.py line 566 1202667] Train: [12/100][150/255] Data 0.001 (0.115) Batch 0.129 (0.470) Remain 02:56:45 loss: 1.6888 Lr: 2.96450e-03 [2025-03-27 23:05:59,407 INFO hook.py line 566 1202667] Train: [12/100][200/255] Data 0.002 (0.110) Batch 0.133 (0.462) Remain 02:53:02 loss: 1.8223 Lr: 2.96237e-03 [2025-03-27 23:06:22,013 INFO hook.py line 566 1202667] Train: [12/100][250/255] Data 0.001 (0.153) Batch 0.123 (0.460) Remain 02:51:56 loss: 1.7236 Lr: 2.96017e-03 [2025-03-27 23:06:23,289 INFO misc.py line 135 1202667] Train result: loss: 1.8101 [2025-03-27 23:06:23,320 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 23:06:37,023 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8818 [2025-03-27 23:06:38,773 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.6190 [2025-03-27 23:06:39,070 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.7610 [2025-03-27 23:06:39,756 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.5179 [2025-03-27 23:06:40,026 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.8325 [2025-03-27 23:06:40,308 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 1.0121 [2025-03-27 23:06:43,293 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.9036 [2025-03-27 23:06:43,756 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.1739 [2025-03-27 23:06:43,958 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.4316 [2025-03-27 23:06:44,422 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.7170 [2025-03-27 23:06:44,627 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.7332 [2025-03-27 23:06:44,781 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.5312 [2025-03-27 23:06:45,064 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1825 [2025-03-27 23:06:45,686 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.8410 [2025-03-27 23:06:46,003 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.9716 [2025-03-27 23:06:47,288 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.9052 [2025-03-27 23:06:48,538 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.7314 [2025-03-27 23:06:49,771 INFO hook.py line 674 1202667] ######################################## [2025-03-27 23:06:49,771 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 23:06:49,771 INFO hook.py line 680 1202667] ######################################## [2025-03-27 23:06:49,772 INFO hook.py line 689 1202667] ceiling : 0.7678 0.9153 [2025-03-27 23:06:49,772 INFO hook.py line 689 1202667] floor : 0.8352 0.9730 [2025-03-27 23:06:49,772 INFO hook.py line 689 1202667] wall : 0.6587 0.9484 [2025-03-27 23:06:49,772 INFO hook.py line 689 1202667] beam : 0.0002 0.0009 [2025-03-27 23:06:49,772 INFO hook.py line 689 1202667] column : 0.0000 0.0000 [2025-03-27 23:06:49,772 INFO hook.py line 689 1202667] window : 0.0753 0.0783 [2025-03-27 23:06:49,772 INFO hook.py line 689 1202667] door : 0.0864 0.1279 [2025-03-27 23:06:49,772 INFO hook.py line 689 1202667] table : 0.3256 0.4416 [2025-03-27 23:06:49,772 INFO hook.py line 689 1202667] chair : 0.4277 0.5856 [2025-03-27 23:06:49,772 INFO hook.py line 689 1202667] sofa : 0.0000 0.0000 [2025-03-27 23:06:49,772 INFO hook.py line 689 1202667] bookcase : 0.1692 0.1798 [2025-03-27 23:06:49,772 INFO hook.py line 689 1202667] board : 0.2391 0.3716 [2025-03-27 23:06:49,772 INFO hook.py line 689 1202667] clutter : 0.2555 0.3905 [2025-03-27 23:06:49,772 INFO hook.py line 690 1202667] ######################################## [2025-03-27 23:06:49,772 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.2954/0.3856/0.7090. [2025-03-27 23:06:49,772 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 23:06:49,798 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.2954 [2025-03-27 23:06:49,799 INFO misc.py line 164 1202667] Currently Best mIoU: 0.2954 [2025-03-27 23:06:49,799 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 23:07:18,704 INFO hook.py line 566 1202667] Train: [13/100][50/255] Data 0.001 (0.062) Batch 0.132 (0.488) Remain 03:02:15 loss: 1.7767 Lr: 2.95769e-03 [2025-03-27 23:07:44,323 INFO hook.py line 566 1202667] Train: [13/100][100/255] Data 0.002 (0.061) Batch 0.135 (0.501) Remain 03:06:26 loss: 1.6575 Lr: 2.95536e-03 [2025-03-27 23:08:10,240 INFO hook.py line 566 1202667] Train: [13/100][150/255] Data 0.002 (0.077) Batch 0.130 (0.507) Remain 03:08:15 loss: 1.6937 Lr: 2.95298e-03 [2025-03-27 23:08:28,932 INFO hook.py line 566 1202667] Train: [13/100][200/255] Data 0.003 (0.058) Batch 0.142 (0.473) Remain 02:55:19 loss: 1.8064 Lr: 2.95053e-03 [2025-03-27 23:08:54,501 INFO hook.py line 566 1202667] Train: [13/100][250/255] Data 0.001 (0.046) Batch 0.120 (0.481) Remain 02:57:48 loss: 1.8517 Lr: 2.94802e-03 [2025-03-27 23:08:55,061 INFO misc.py line 135 1202667] Train result: loss: 1.7987 [2025-03-27 23:08:55,088 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 23:09:07,380 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8845 [2025-03-27 23:09:09,125 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.6191 [2025-03-27 23:09:09,423 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.7608 [2025-03-27 23:09:10,109 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.5157 [2025-03-27 23:09:10,379 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.8255 [2025-03-27 23:09:10,662 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9896 [2025-03-27 23:09:13,665 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.9009 [2025-03-27 23:09:14,131 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.1591 [2025-03-27 23:09:14,332 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.4234 [2025-03-27 23:09:14,794 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.7083 [2025-03-27 23:09:14,999 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.7248 [2025-03-27 23:09:15,154 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.5083 [2025-03-27 23:09:15,439 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1920 [2025-03-27 23:09:16,058 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.8354 [2025-03-27 23:09:16,375 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.9631 [2025-03-27 23:09:17,661 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8988 [2025-03-27 23:09:18,906 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.7153 [2025-03-27 23:09:20,241 INFO hook.py line 674 1202667] ######################################## [2025-03-27 23:09:20,241 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 23:09:20,241 INFO hook.py line 680 1202667] ######################################## [2025-03-27 23:09:20,242 INFO hook.py line 689 1202667] ceiling : 0.7714 0.9158 [2025-03-27 23:09:20,242 INFO hook.py line 689 1202667] floor : 0.8382 0.9730 [2025-03-27 23:09:20,242 INFO hook.py line 689 1202667] wall : 0.6598 0.9481 [2025-03-27 23:09:20,242 INFO hook.py line 689 1202667] beam : 0.0002 0.0008 [2025-03-27 23:09:20,242 INFO hook.py line 689 1202667] column : 0.0000 0.0000 [2025-03-27 23:09:20,242 INFO hook.py line 689 1202667] window : 0.0796 0.0826 [2025-03-27 23:09:20,242 INFO hook.py line 689 1202667] door : 0.0872 0.1290 [2025-03-27 23:09:20,242 INFO hook.py line 689 1202667] table : 0.3240 0.4373 [2025-03-27 23:09:20,242 INFO hook.py line 689 1202667] chair : 0.4329 0.5858 [2025-03-27 23:09:20,242 INFO hook.py line 689 1202667] sofa : 0.0000 0.0000 [2025-03-27 23:09:20,242 INFO hook.py line 689 1202667] bookcase : 0.1595 0.1680 [2025-03-27 23:09:20,242 INFO hook.py line 689 1202667] board : 0.2528 0.3910 [2025-03-27 23:09:20,242 INFO hook.py line 689 1202667] clutter : 0.2600 0.4078 [2025-03-27 23:09:20,242 INFO hook.py line 690 1202667] ######################################## [2025-03-27 23:09:20,242 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.2974/0.3876/0.7096. [2025-03-27 23:09:20,242 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 23:09:20,268 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.2974 [2025-03-27 23:09:20,268 INFO misc.py line 164 1202667] Currently Best mIoU: 0.2974 [2025-03-27 23:09:20,268 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 23:09:52,050 INFO hook.py line 566 1202667] Train: [14/100][50/255] Data 0.002 (0.266) Batch 0.131 (0.485) Remain 02:58:49 loss: 1.7256 Lr: 2.94519e-03 [2025-03-27 23:10:13,860 INFO hook.py line 566 1202667] Train: [14/100][100/255] Data 0.002 (0.135) Batch 0.140 (0.460) Remain 02:49:13 loss: 1.9419 Lr: 2.94256e-03 [2025-03-27 23:10:33,434 INFO hook.py line 566 1202667] Train: [14/100][150/255] Data 0.002 (0.093) Batch 0.145 (0.437) Remain 02:40:18 loss: 1.7705 Lr: 2.93986e-03 [2025-03-27 23:10:56,043 INFO hook.py line 566 1202667] Train: [14/100][200/255] Data 0.002 (0.095) Batch 0.146 (0.440) Remain 02:41:24 loss: 1.6491 Lr: 2.93711e-03 [2025-03-27 23:11:14,839 INFO hook.py line 566 1202667] Train: [14/100][250/255] Data 0.001 (0.093) Batch 0.121 (0.427) Remain 02:36:15 loss: 1.6603 Lr: 2.93429e-03 [2025-03-27 23:11:16,093 INFO misc.py line 135 1202667] Train result: loss: 1.7868 [2025-03-27 23:11:16,124 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 23:11:28,494 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8666 [2025-03-27 23:11:30,236 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5957 [2025-03-27 23:11:30,534 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.7506 [2025-03-27 23:11:31,219 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.4949 [2025-03-27 23:11:31,487 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.8001 [2025-03-27 23:11:31,770 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9841 [2025-03-27 23:11:34,762 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.8697 [2025-03-27 23:11:35,223 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.1502 [2025-03-27 23:11:35,425 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.3926 [2025-03-27 23:11:35,888 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.6819 [2025-03-27 23:11:36,091 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.7052 [2025-03-27 23:11:36,245 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.5140 [2025-03-27 23:11:36,529 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1802 [2025-03-27 23:11:37,149 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.8246 [2025-03-27 23:11:37,466 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.9285 [2025-03-27 23:11:38,753 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8844 [2025-03-27 23:11:40,000 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.7067 [2025-03-27 23:11:40,947 INFO hook.py line 674 1202667] ######################################## [2025-03-27 23:11:40,948 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 23:11:40,948 INFO hook.py line 680 1202667] ######################################## [2025-03-27 23:11:40,948 INFO hook.py line 689 1202667] ceiling : 0.7739 0.9180 [2025-03-27 23:11:40,948 INFO hook.py line 689 1202667] floor : 0.8402 0.9734 [2025-03-27 23:11:40,948 INFO hook.py line 689 1202667] wall : 0.6638 0.9466 [2025-03-27 23:11:40,948 INFO hook.py line 689 1202667] beam : 0.0001 0.0005 [2025-03-27 23:11:40,949 INFO hook.py line 689 1202667] column : 0.0002 0.0002 [2025-03-27 23:11:40,949 INFO hook.py line 689 1202667] window : 0.0945 0.0990 [2025-03-27 23:11:40,949 INFO hook.py line 689 1202667] door : 0.0912 0.1375 [2025-03-27 23:11:40,949 INFO hook.py line 689 1202667] table : 0.3260 0.4431 [2025-03-27 23:11:40,949 INFO hook.py line 689 1202667] chair : 0.4365 0.6023 [2025-03-27 23:11:40,949 INFO hook.py line 689 1202667] sofa : 0.0000 0.0000 [2025-03-27 23:11:40,949 INFO hook.py line 689 1202667] bookcase : 0.1706 0.1808 [2025-03-27 23:11:40,949 INFO hook.py line 689 1202667] board : 0.2674 0.4381 [2025-03-27 23:11:40,949 INFO hook.py line 689 1202667] clutter : 0.2579 0.3970 [2025-03-27 23:11:40,949 INFO hook.py line 690 1202667] ######################################## [2025-03-27 23:11:40,949 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3017/0.3951/0.7119. [2025-03-27 23:11:40,951 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 23:11:40,978 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.3017 [2025-03-27 23:11:40,978 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3017 [2025-03-27 23:11:40,978 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 23:12:08,327 INFO hook.py line 566 1202667] Train: [15/100][50/255] Data 0.002 (0.002) Batch 0.150 (0.364) Remain 02:12:33 loss: 1.8023 Lr: 2.93112e-03 [2025-03-27 23:12:29,999 INFO hook.py line 566 1202667] Train: [15/100][100/255] Data 0.001 (0.007) Batch 0.130 (0.400) Remain 02:25:22 loss: 1.7647 Lr: 2.92818e-03 [2025-03-27 23:12:50,274 INFO hook.py line 566 1202667] Train: [15/100][150/255] Data 0.002 (0.009) Batch 0.130 (0.402) Remain 02:25:46 loss: 1.9582 Lr: 2.92517e-03 [2025-03-27 23:13:13,086 INFO hook.py line 566 1202667] Train: [15/100][200/255] Data 0.003 (0.020) Batch 0.155 (0.415) Remain 02:30:27 loss: 1.6094 Lr: 2.92211e-03 [2025-03-27 23:13:37,964 INFO hook.py line 566 1202667] Train: [15/100][250/255] Data 0.000 (0.030) Batch 0.109 (0.432) Remain 02:36:07 loss: 1.6397 Lr: 2.91899e-03 [2025-03-27 23:13:38,539 INFO misc.py line 135 1202667] Train result: loss: 1.7548 [2025-03-27 23:13:38,574 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 23:13:50,503 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8688 [2025-03-27 23:13:52,244 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5937 [2025-03-27 23:13:52,542 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.7387 [2025-03-27 23:13:53,228 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.4890 [2025-03-27 23:13:53,498 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.7864 [2025-03-27 23:13:53,780 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9707 [2025-03-27 23:13:56,768 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.8558 [2025-03-27 23:13:57,232 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.1373 [2025-03-27 23:13:57,433 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.3801 [2025-03-27 23:13:57,896 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.6769 [2025-03-27 23:13:58,098 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6903 [2025-03-27 23:13:58,252 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.5052 [2025-03-27 23:13:58,534 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1744 [2025-03-27 23:13:59,155 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.8147 [2025-03-27 23:13:59,471 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.9150 [2025-03-27 23:14:00,758 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8770 [2025-03-27 23:14:01,999 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6945 [2025-03-27 23:14:02,990 INFO hook.py line 674 1202667] ######################################## [2025-03-27 23:14:02,991 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 23:14:02,991 INFO hook.py line 680 1202667] ######################################## [2025-03-27 23:14:02,991 INFO hook.py line 689 1202667] ceiling : 0.7767 0.9189 [2025-03-27 23:14:02,991 INFO hook.py line 689 1202667] floor : 0.8444 0.9732 [2025-03-27 23:14:02,991 INFO hook.py line 689 1202667] wall : 0.6635 0.9473 [2025-03-27 23:14:02,991 INFO hook.py line 689 1202667] beam : 0.0002 0.0015 [2025-03-27 23:14:02,991 INFO hook.py line 689 1202667] column : 0.0002 0.0002 [2025-03-27 23:14:02,991 INFO hook.py line 689 1202667] window : 0.0922 0.0960 [2025-03-27 23:14:02,991 INFO hook.py line 689 1202667] door : 0.0897 0.1331 [2025-03-27 23:14:02,991 INFO hook.py line 689 1202667] table : 0.3290 0.4488 [2025-03-27 23:14:02,991 INFO hook.py line 689 1202667] chair : 0.4401 0.5916 [2025-03-27 23:14:02,991 INFO hook.py line 689 1202667] sofa : 0.0000 0.0000 [2025-03-27 23:14:02,991 INFO hook.py line 689 1202667] bookcase : 0.1759 0.1870 [2025-03-27 23:14:02,991 INFO hook.py line 689 1202667] board : 0.2776 0.4541 [2025-03-27 23:14:02,992 INFO hook.py line 689 1202667] clutter : 0.2596 0.4010 [2025-03-27 23:14:02,992 INFO hook.py line 690 1202667] ######################################## [2025-03-27 23:14:02,992 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3038/0.3964/0.7132. [2025-03-27 23:14:02,992 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 23:14:03,020 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.3038 [2025-03-27 23:14:03,020 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3038 [2025-03-27 23:14:03,020 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 23:14:31,984 INFO hook.py line 566 1202667] Train: [16/100][50/255] Data 0.002 (0.223) Batch 0.154 (0.419) Remain 02:30:57 loss: 1.8704 Lr: 2.91548e-03 [2025-03-27 23:14:54,960 INFO hook.py line 566 1202667] Train: [16/100][100/255] Data 0.001 (0.109) Batch 0.140 (0.440) Remain 02:38:08 loss: 1.7875 Lr: 2.91223e-03 [2025-03-27 23:15:15,476 INFO hook.py line 566 1202667] Train: [16/100][150/255] Data 0.002 (0.082) Batch 0.368 (0.430) Remain 02:34:10 loss: 1.8000 Lr: 2.90893e-03 [2025-03-27 23:15:41,730 INFO hook.py line 566 1202667] Train: [16/100][200/255] Data 0.002 (0.068) Batch 2.159 (0.454) Remain 02:42:28 loss: 1.8191 Lr: 2.90556e-03 [2025-03-27 23:16:02,070 INFO hook.py line 566 1202667] Train: [16/100][250/255] Data 0.000 (0.075) Batch 0.120 (0.444) Remain 02:38:41 loss: 1.8210 Lr: 2.90213e-03 [2025-03-27 23:16:02,633 INFO misc.py line 135 1202667] Train result: loss: 1.7551 [2025-03-27 23:16:02,668 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 23:16:14,482 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8541 [2025-03-27 23:16:16,221 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5798 [2025-03-27 23:16:16,521 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.7353 [2025-03-27 23:16:17,205 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.4693 [2025-03-27 23:16:17,474 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.7676 [2025-03-27 23:16:17,756 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9724 [2025-03-27 23:16:20,739 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.8402 [2025-03-27 23:16:21,202 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.1355 [2025-03-27 23:16:21,403 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.3738 [2025-03-27 23:16:21,868 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.6548 [2025-03-27 23:16:22,071 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6724 [2025-03-27 23:16:22,224 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.5018 [2025-03-27 23:16:22,507 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1785 [2025-03-27 23:16:23,126 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7948 [2025-03-27 23:16:23,443 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.8914 [2025-03-27 23:16:24,729 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8654 [2025-03-27 23:16:25,976 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6994 [2025-03-27 23:16:26,983 INFO hook.py line 674 1202667] ######################################## [2025-03-27 23:16:26,983 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 23:16:26,983 INFO hook.py line 680 1202667] ######################################## [2025-03-27 23:16:26,983 INFO hook.py line 689 1202667] ceiling : 0.7784 0.9211 [2025-03-27 23:16:26,983 INFO hook.py line 689 1202667] floor : 0.8454 0.9734 [2025-03-27 23:16:26,984 INFO hook.py line 689 1202667] wall : 0.6661 0.9454 [2025-03-27 23:16:26,984 INFO hook.py line 689 1202667] beam : 0.0002 0.0017 [2025-03-27 23:16:26,984 INFO hook.py line 689 1202667] column : 0.0006 0.0006 [2025-03-27 23:16:26,984 INFO hook.py line 689 1202667] window : 0.1128 0.1193 [2025-03-27 23:16:26,984 INFO hook.py line 689 1202667] door : 0.0909 0.1320 [2025-03-27 23:16:26,984 INFO hook.py line 689 1202667] table : 0.3294 0.4513 [2025-03-27 23:16:26,984 INFO hook.py line 689 1202667] chair : 0.4455 0.6153 [2025-03-27 23:16:26,984 INFO hook.py line 689 1202667] sofa : 0.0001 0.0001 [2025-03-27 23:16:26,984 INFO hook.py line 689 1202667] bookcase : 0.1819 0.1941 [2025-03-27 23:16:26,984 INFO hook.py line 689 1202667] board : 0.2880 0.4784 [2025-03-27 23:16:26,985 INFO hook.py line 689 1202667] clutter : 0.2589 0.3971 [2025-03-27 23:16:26,985 INFO hook.py line 690 1202667] ######################################## [2025-03-27 23:16:26,985 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3076/0.4023/0.7152. [2025-03-27 23:16:26,986 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 23:16:27,016 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.3076 [2025-03-27 23:16:27,017 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3076 [2025-03-27 23:16:27,017 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 23:16:55,460 INFO hook.py line 566 1202667] Train: [17/100][50/255] Data 0.002 (0.115) Batch 3.081 (0.404) Remain 02:23:52 loss: 1.8563 Lr: 2.89830e-03 [2025-03-27 23:17:23,121 INFO hook.py line 566 1202667] Train: [17/100][100/255] Data 0.002 (0.180) Batch 0.114 (0.481) Remain 02:50:52 loss: 1.7674 Lr: 2.89475e-03 [2025-03-27 23:17:41,943 INFO hook.py line 566 1202667] Train: [17/100][150/255] Data 0.002 (0.128) Batch 0.138 (0.445) Remain 02:37:52 loss: 1.7531 Lr: 2.89114e-03 [2025-03-27 23:18:04,616 INFO hook.py line 566 1202667] Train: [17/100][200/255] Data 0.002 (0.104) Batch 0.157 (0.447) Remain 02:38:14 loss: 1.8296 Lr: 2.88747e-03 [2025-03-27 23:18:26,012 INFO hook.py line 566 1202667] Train: [17/100][250/255] Data 0.000 (0.118) Batch 0.120 (0.443) Remain 02:36:28 loss: 1.7124 Lr: 2.88375e-03 [2025-03-27 23:18:29,337 INFO misc.py line 135 1202667] Train result: loss: 1.7292 [2025-03-27 23:18:29,365 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 23:18:40,705 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8437 [2025-03-27 23:18:42,450 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5674 [2025-03-27 23:18:42,749 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.7077 [2025-03-27 23:18:43,434 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.4619 [2025-03-27 23:18:43,705 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.7568 [2025-03-27 23:18:43,989 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9600 [2025-03-27 23:18:46,978 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.8168 [2025-03-27 23:18:47,442 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.1209 [2025-03-27 23:18:47,643 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.3542 [2025-03-27 23:18:48,107 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.6592 [2025-03-27 23:18:48,310 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6639 [2025-03-27 23:18:48,466 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4958 [2025-03-27 23:18:48,750 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1617 [2025-03-27 23:18:49,371 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7889 [2025-03-27 23:18:49,689 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.8738 [2025-03-27 23:18:50,973 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8522 [2025-03-27 23:18:52,221 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6910 [2025-03-27 23:18:53,212 INFO hook.py line 674 1202667] ######################################## [2025-03-27 23:18:53,213 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 23:18:53,213 INFO hook.py line 680 1202667] ######################################## [2025-03-27 23:18:53,213 INFO hook.py line 689 1202667] ceiling : 0.7803 0.9210 [2025-03-27 23:18:53,213 INFO hook.py line 689 1202667] floor : 0.8432 0.9739 [2025-03-27 23:18:53,213 INFO hook.py line 689 1202667] wall : 0.6690 0.9434 [2025-03-27 23:18:53,213 INFO hook.py line 689 1202667] beam : 0.0004 0.0034 [2025-03-27 23:18:53,213 INFO hook.py line 689 1202667] column : 0.0005 0.0006 [2025-03-27 23:18:53,213 INFO hook.py line 689 1202667] window : 0.0973 0.1013 [2025-03-27 23:18:53,213 INFO hook.py line 689 1202667] door : 0.0960 0.1413 [2025-03-27 23:18:53,214 INFO hook.py line 689 1202667] table : 0.3241 0.4347 [2025-03-27 23:18:53,214 INFO hook.py line 689 1202667] chair : 0.4475 0.6048 [2025-03-27 23:18:53,214 INFO hook.py line 689 1202667] sofa : 0.0002 0.0002 [2025-03-27 23:18:53,214 INFO hook.py line 689 1202667] bookcase : 0.1991 0.2151 [2025-03-27 23:18:53,214 INFO hook.py line 689 1202667] board : 0.2926 0.4921 [2025-03-27 23:18:53,214 INFO hook.py line 689 1202667] clutter : 0.2621 0.4056 [2025-03-27 23:18:53,214 INFO hook.py line 690 1202667] ######################################## [2025-03-27 23:18:53,214 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3086/0.4029/0.7165. [2025-03-27 23:18:53,215 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 23:18:53,245 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.3086 [2025-03-27 23:18:53,245 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3086 [2025-03-27 23:18:53,246 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 23:19:22,128 INFO hook.py line 566 1202667] Train: [18/100][50/255] Data 0.002 (0.133) Batch 0.126 (0.408) Remain 02:23:42 loss: 1.7578 Lr: 2.87958e-03 [2025-03-27 23:19:44,641 INFO hook.py line 566 1202667] Train: [18/100][100/255] Data 0.001 (0.200) Batch 0.152 (0.430) Remain 02:30:57 loss: 1.8436 Lr: 2.87574e-03 [2025-03-27 23:20:08,588 INFO hook.py line 566 1202667] Train: [18/100][150/255] Data 0.004 (0.202) Batch 0.143 (0.447) Remain 02:36:25 loss: 1.8129 Lr: 2.87183e-03 [2025-03-27 23:20:32,327 INFO hook.py line 566 1202667] Train: [18/100][200/255] Data 0.002 (0.166) Batch 0.141 (0.454) Remain 02:38:33 loss: 1.5484 Lr: 2.86787e-03 [2025-03-27 23:20:55,350 INFO hook.py line 566 1202667] Train: [18/100][250/255] Data 0.001 (0.150) Batch 0.121 (0.455) Remain 02:38:38 loss: 1.6836 Lr: 2.86385e-03 [2025-03-27 23:20:57,227 INFO misc.py line 135 1202667] Train result: loss: 1.7359 [2025-03-27 23:20:57,255 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 23:21:09,570 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8434 [2025-03-27 23:21:11,312 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5623 [2025-03-27 23:21:11,612 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.7171 [2025-03-27 23:21:12,299 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.4542 [2025-03-27 23:21:12,570 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.7474 [2025-03-27 23:21:12,852 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9527 [2025-03-27 23:21:15,839 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.8186 [2025-03-27 23:21:16,303 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.1120 [2025-03-27 23:21:16,506 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.3531 [2025-03-27 23:21:16,969 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.6469 [2025-03-27 23:21:17,171 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6623 [2025-03-27 23:21:17,326 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4830 [2025-03-27 23:21:17,610 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1649 [2025-03-27 23:21:18,229 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7830 [2025-03-27 23:21:18,548 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.8674 [2025-03-27 23:21:19,835 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8531 [2025-03-27 23:21:21,082 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6774 [2025-03-27 23:21:22,035 INFO hook.py line 674 1202667] ######################################## [2025-03-27 23:21:22,035 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 23:21:22,035 INFO hook.py line 680 1202667] ######################################## [2025-03-27 23:21:22,036 INFO hook.py line 689 1202667] ceiling : 0.7823 0.9239 [2025-03-27 23:21:22,036 INFO hook.py line 689 1202667] floor : 0.8491 0.9735 [2025-03-27 23:21:22,036 INFO hook.py line 689 1202667] wall : 0.6683 0.9449 [2025-03-27 23:21:22,036 INFO hook.py line 689 1202667] beam : 0.0003 0.0026 [2025-03-27 23:21:22,036 INFO hook.py line 689 1202667] column : 0.0009 0.0010 [2025-03-27 23:21:22,036 INFO hook.py line 689 1202667] window : 0.1066 0.1116 [2025-03-27 23:21:22,036 INFO hook.py line 689 1202667] door : 0.0948 0.1405 [2025-03-27 23:21:22,036 INFO hook.py line 689 1202667] table : 0.3303 0.4547 [2025-03-27 23:21:22,036 INFO hook.py line 689 1202667] chair : 0.4496 0.6162 [2025-03-27 23:21:22,036 INFO hook.py line 689 1202667] sofa : 0.0002 0.0002 [2025-03-27 23:21:22,036 INFO hook.py line 689 1202667] bookcase : 0.1898 0.2035 [2025-03-27 23:21:22,036 INFO hook.py line 689 1202667] board : 0.2969 0.4876 [2025-03-27 23:21:22,036 INFO hook.py line 689 1202667] clutter : 0.2600 0.3987 [2025-03-27 23:21:22,036 INFO hook.py line 690 1202667] ######################################## [2025-03-27 23:21:22,036 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3099/0.4045/0.7169. [2025-03-27 23:21:22,036 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 23:21:22,062 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.3099 [2025-03-27 23:21:22,063 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3099 [2025-03-27 23:21:22,063 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 23:21:51,031 INFO hook.py line 566 1202667] Train: [19/100][50/255] Data 0.002 (0.077) Batch 0.137 (0.436) Remain 02:31:33 loss: 1.6989 Lr: 2.85936e-03 [2025-03-27 23:22:15,253 INFO hook.py line 566 1202667] Train: [19/100][100/255] Data 0.001 (0.047) Batch 0.150 (0.461) Remain 02:39:51 loss: 1.7401 Lr: 2.85522e-03 [2025-03-27 23:22:34,000 INFO hook.py line 566 1202667] Train: [19/100][150/255] Data 0.002 (0.050) Batch 0.156 (0.432) Remain 02:29:21 loss: 1.6578 Lr: 2.85102e-03 [2025-03-27 23:23:03,505 INFO hook.py line 566 1202667] Train: [19/100][200/255] Data 0.002 (0.042) Batch 2.232 (0.472) Remain 02:42:52 loss: 1.8620 Lr: 2.84677e-03 [2025-03-27 23:23:24,451 INFO hook.py line 566 1202667] Train: [19/100][250/255] Data 0.001 (0.048) Batch 1.369 (0.461) Remain 02:38:47 loss: 1.7090 Lr: 2.84246e-03 [2025-03-27 23:23:25,049 INFO misc.py line 135 1202667] Train result: loss: 1.7224 [2025-03-27 23:23:25,078 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 23:23:37,230 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8322 [2025-03-27 23:23:38,974 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5505 [2025-03-27 23:23:39,276 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.7085 [2025-03-27 23:23:39,960 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.4472 [2025-03-27 23:23:40,231 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.7383 [2025-03-27 23:23:40,512 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9559 [2025-03-27 23:23:43,496 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.8040 [2025-03-27 23:23:43,961 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.1129 [2025-03-27 23:23:44,162 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.3335 [2025-03-27 23:23:44,625 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.6356 [2025-03-27 23:23:44,829 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6484 [2025-03-27 23:23:44,985 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4928 [2025-03-27 23:23:45,269 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1649 [2025-03-27 23:23:45,887 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7702 [2025-03-27 23:23:46,204 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.8557 [2025-03-27 23:23:47,488 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8450 [2025-03-27 23:23:48,734 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6799 [2025-03-27 23:23:49,703 INFO hook.py line 674 1202667] ######################################## [2025-03-27 23:23:49,704 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 23:23:49,704 INFO hook.py line 680 1202667] ######################################## [2025-03-27 23:23:49,704 INFO hook.py line 689 1202667] ceiling : 0.7830 0.9217 [2025-03-27 23:23:49,704 INFO hook.py line 689 1202667] floor : 0.8477 0.9739 [2025-03-27 23:23:49,704 INFO hook.py line 689 1202667] wall : 0.6691 0.9449 [2025-03-27 23:23:49,704 INFO hook.py line 689 1202667] beam : 0.0002 0.0012 [2025-03-27 23:23:49,704 INFO hook.py line 689 1202667] column : 0.0008 0.0008 [2025-03-27 23:23:49,704 INFO hook.py line 689 1202667] window : 0.1169 0.1234 [2025-03-27 23:23:49,705 INFO hook.py line 689 1202667] door : 0.0946 0.1385 [2025-03-27 23:23:49,705 INFO hook.py line 689 1202667] table : 0.3292 0.4556 [2025-03-27 23:23:49,705 INFO hook.py line 689 1202667] chair : 0.4511 0.6403 [2025-03-27 23:23:49,705 INFO hook.py line 689 1202667] sofa : 0.0002 0.0002 [2025-03-27 23:23:49,705 INFO hook.py line 689 1202667] bookcase : 0.2002 0.2161 [2025-03-27 23:23:49,705 INFO hook.py line 689 1202667] board : 0.3031 0.5134 [2025-03-27 23:23:49,705 INFO hook.py line 689 1202667] clutter : 0.2575 0.3880 [2025-03-27 23:23:49,705 INFO hook.py line 690 1202667] ######################################## [2025-03-27 23:23:49,705 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3118/0.4091/0.7180. [2025-03-27 23:23:49,706 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 23:23:49,735 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.3118 [2025-03-27 23:23:49,735 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3118 [2025-03-27 23:23:49,736 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 23:24:17,670 INFO hook.py line 566 1202667] Train: [20/100][50/255] Data 0.002 (0.051) Batch 0.149 (0.382) Remain 02:11:03 loss: 1.6363 Lr: 2.83765e-03 [2025-03-27 23:24:40,468 INFO hook.py line 566 1202667] Train: [20/100][100/255] Data 0.002 (0.025) Batch 0.150 (0.420) Remain 02:23:51 loss: 1.6463 Lr: 2.83322e-03 [2025-03-27 23:25:08,015 INFO hook.py line 566 1202667] Train: [20/100][150/255] Data 0.002 (0.017) Batch 1.610 (0.464) Remain 02:38:44 loss: 1.7389 Lr: 2.82874e-03 [2025-03-27 23:25:29,034 INFO hook.py line 566 1202667] Train: [20/100][200/255] Data 0.002 (0.050) Batch 0.141 (0.453) Remain 02:34:32 loss: 1.6312 Lr: 2.82420e-03 [2025-03-27 23:25:50,002 INFO hook.py line 566 1202667] Train: [20/100][250/255] Data 0.001 (0.078) Batch 0.110 (0.446) Remain 02:31:49 loss: 1.6538 Lr: 2.81960e-03 [2025-03-27 23:25:50,554 INFO misc.py line 135 1202667] Train result: loss: 1.7192 [2025-03-27 23:25:50,585 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 23:26:03,826 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8164 [2025-03-27 23:26:05,569 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5555 [2025-03-27 23:26:05,870 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6907 [2025-03-27 23:26:06,556 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.4375 [2025-03-27 23:26:06,826 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.7152 [2025-03-27 23:26:07,109 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9388 [2025-03-27 23:26:10,088 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7872 [2025-03-27 23:26:10,552 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0992 [2025-03-27 23:26:10,757 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.3297 [2025-03-27 23:26:11,220 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.6275 [2025-03-27 23:26:11,423 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6379 [2025-03-27 23:26:11,584 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4839 [2025-03-27 23:26:11,867 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1542 [2025-03-27 23:26:12,484 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7605 [2025-03-27 23:26:12,803 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.8304 [2025-03-27 23:26:14,089 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8390 [2025-03-27 23:26:15,336 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6725 [2025-03-27 23:26:16,346 INFO hook.py line 674 1202667] ######################################## [2025-03-27 23:26:16,346 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 23:26:16,346 INFO hook.py line 680 1202667] ######################################## [2025-03-27 23:26:16,346 INFO hook.py line 689 1202667] ceiling : 0.7853 0.9243 [2025-03-27 23:26:16,346 INFO hook.py line 689 1202667] floor : 0.8501 0.9734 [2025-03-27 23:26:16,346 INFO hook.py line 689 1202667] wall : 0.6712 0.9436 [2025-03-27 23:26:16,346 INFO hook.py line 689 1202667] beam : 0.0006 0.0046 [2025-03-27 23:26:16,346 INFO hook.py line 689 1202667] column : 0.0018 0.0018 [2025-03-27 23:26:16,347 INFO hook.py line 689 1202667] window : 0.1282 0.1358 [2025-03-27 23:26:16,347 INFO hook.py line 689 1202667] door : 0.0950 0.1379 [2025-03-27 23:26:16,347 INFO hook.py line 689 1202667] table : 0.3283 0.4456 [2025-03-27 23:26:16,347 INFO hook.py line 689 1202667] chair : 0.4540 0.6047 [2025-03-27 23:26:16,347 INFO hook.py line 689 1202667] sofa : 0.0004 0.0004 [2025-03-27 23:26:16,347 INFO hook.py line 689 1202667] bookcase : 0.2011 0.2169 [2025-03-27 23:26:16,347 INFO hook.py line 689 1202667] board : 0.3137 0.5197 [2025-03-27 23:26:16,347 INFO hook.py line 689 1202667] clutter : 0.2634 0.4090 [2025-03-27 23:26:16,347 INFO hook.py line 690 1202667] ######################################## [2025-03-27 23:26:16,347 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3148/0.4091/0.7195. [2025-03-27 23:26:16,347 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 23:26:16,375 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.3148 [2025-03-27 23:26:16,375 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3148 [2025-03-27 23:26:16,375 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 23:26:48,475 INFO hook.py line 566 1202667] Train: [21/100][50/255] Data 0.002 (0.259) Batch 0.127 (0.529) Remain 02:59:20 loss: 1.6366 Lr: 2.81448e-03 [2025-03-27 23:27:09,542 INFO hook.py line 566 1202667] Train: [21/100][100/255] Data 0.002 (0.166) Batch 2.143 (0.473) Remain 02:40:09 loss: 1.6301 Lr: 2.80977e-03 [2025-03-27 23:27:32,033 INFO hook.py line 566 1202667] Train: [21/100][150/255] Data 0.002 (0.110) Batch 0.741 (0.465) Remain 02:37:03 loss: 1.8480 Lr: 2.80500e-03 [2025-03-27 23:27:54,431 INFO hook.py line 566 1202667] Train: [21/100][200/255] Data 0.001 (0.099) Batch 0.128 (0.461) Remain 02:35:11 loss: 1.5299 Lr: 2.80018e-03 [2025-03-27 23:28:17,339 INFO hook.py line 566 1202667] Train: [21/100][250/255] Data 0.000 (0.080) Batch 0.111 (0.460) Remain 02:34:36 loss: 1.6053 Lr: 2.79530e-03 [2025-03-27 23:28:17,917 INFO misc.py line 135 1202667] Train result: loss: 1.7122 [2025-03-27 23:28:17,948 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 23:28:30,736 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8388 [2025-03-27 23:28:32,476 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5559 [2025-03-27 23:28:32,774 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.7088 [2025-03-27 23:28:33,460 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.4427 [2025-03-27 23:28:33,730 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.7237 [2025-03-27 23:28:34,013 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9392 [2025-03-27 23:28:36,997 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7951 [2025-03-27 23:28:37,460 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0909 [2025-03-27 23:28:37,663 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.3297 [2025-03-27 23:28:38,127 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.6304 [2025-03-27 23:28:38,329 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6487 [2025-03-27 23:28:38,484 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4867 [2025-03-27 23:28:38,767 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1599 [2025-03-27 23:28:39,389 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7693 [2025-03-27 23:28:39,706 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.8494 [2025-03-27 23:28:40,990 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8451 [2025-03-27 23:28:42,237 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6663 [2025-03-27 23:28:43,195 INFO hook.py line 674 1202667] ######################################## [2025-03-27 23:28:43,195 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 23:28:43,195 INFO hook.py line 680 1202667] ######################################## [2025-03-27 23:28:43,196 INFO hook.py line 689 1202667] ceiling : 0.7854 0.9243 [2025-03-27 23:28:43,196 INFO hook.py line 689 1202667] floor : 0.8452 0.9749 [2025-03-27 23:28:43,196 INFO hook.py line 689 1202667] wall : 0.6699 0.9449 [2025-03-27 23:28:43,196 INFO hook.py line 689 1202667] beam : 0.0004 0.0034 [2025-03-27 23:28:43,196 INFO hook.py line 689 1202667] column : 0.0013 0.0013 [2025-03-27 23:28:43,196 INFO hook.py line 689 1202667] window : 0.1202 0.1266 [2025-03-27 23:28:43,196 INFO hook.py line 689 1202667] door : 0.0963 0.1412 [2025-03-27 23:28:43,196 INFO hook.py line 689 1202667] table : 0.3198 0.4339 [2025-03-27 23:28:43,196 INFO hook.py line 689 1202667] chair : 0.4548 0.6353 [2025-03-27 23:28:43,197 INFO hook.py line 689 1202667] sofa : 0.0005 0.0005 [2025-03-27 23:28:43,197 INFO hook.py line 689 1202667] bookcase : 0.1988 0.2139 [2025-03-27 23:28:43,197 INFO hook.py line 689 1202667] board : 0.3131 0.5236 [2025-03-27 23:28:43,197 INFO hook.py line 689 1202667] clutter : 0.2587 0.3922 [2025-03-27 23:28:43,197 INFO hook.py line 690 1202667] ######################################## [2025-03-27 23:28:43,197 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3126/0.4089/0.7183. [2025-03-27 23:28:43,198 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 23:28:43,228 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3148 [2025-03-27 23:28:43,228 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 23:29:14,553 INFO hook.py line 566 1202667] Train: [22/100][50/255] Data 1.135 (0.236) Batch 1.344 (0.403) Remain 02:14:57 loss: 1.8018 Lr: 2.78987e-03 [2025-03-27 23:29:35,192 INFO hook.py line 566 1202667] Train: [22/100][100/255] Data 0.003 (0.132) Batch 0.144 (0.408) Remain 02:16:19 loss: 1.5968 Lr: 2.78488e-03 [2025-03-27 23:29:57,711 INFO hook.py line 566 1202667] Train: [22/100][150/255] Data 0.003 (0.139) Batch 0.138 (0.422) Remain 02:20:46 loss: 1.8493 Lr: 2.77983e-03 [2025-03-27 23:30:26,493 INFO hook.py line 566 1202667] Train: [22/100][200/255] Data 0.001 (0.204) Batch 0.133 (0.461) Remain 02:33:20 loss: 1.6408 Lr: 2.77473e-03 [2025-03-27 23:30:45,298 INFO hook.py line 566 1202667] Train: [22/100][250/255] Data 0.747 (0.174) Batch 0.868 (0.444) Remain 02:27:14 loss: 1.6342 Lr: 2.76958e-03 [2025-03-27 23:30:49,011 INFO misc.py line 135 1202667] Train result: loss: 1.6949 [2025-03-27 23:30:49,040 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 23:31:01,543 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8388 [2025-03-27 23:31:03,550 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5620 [2025-03-27 23:31:03,850 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.7113 [2025-03-27 23:31:04,536 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.4463 [2025-03-27 23:31:04,806 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.7289 [2025-03-27 23:31:05,088 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9302 [2025-03-27 23:31:08,072 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.8026 [2025-03-27 23:31:08,536 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0822 [2025-03-27 23:31:08,738 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.3335 [2025-03-27 23:31:09,204 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.6325 [2025-03-27 23:31:09,406 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6579 [2025-03-27 23:31:09,560 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4774 [2025-03-27 23:31:09,843 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1702 [2025-03-27 23:31:10,461 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7684 [2025-03-27 23:31:10,780 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.8462 [2025-03-27 23:31:12,064 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8461 [2025-03-27 23:31:13,310 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6590 [2025-03-27 23:31:14,256 INFO hook.py line 674 1202667] ######################################## [2025-03-27 23:31:14,257 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 23:31:14,257 INFO hook.py line 680 1202667] ######################################## [2025-03-27 23:31:14,257 INFO hook.py line 689 1202667] ceiling : 0.7865 0.9237 [2025-03-27 23:31:14,257 INFO hook.py line 689 1202667] floor : 0.8459 0.9749 [2025-03-27 23:31:14,257 INFO hook.py line 689 1202667] wall : 0.6685 0.9459 [2025-03-27 23:31:14,257 INFO hook.py line 689 1202667] beam : 0.0005 0.0043 [2025-03-27 23:31:14,257 INFO hook.py line 689 1202667] column : 0.0011 0.0011 [2025-03-27 23:31:14,257 INFO hook.py line 689 1202667] window : 0.1206 0.1267 [2025-03-27 23:31:14,257 INFO hook.py line 689 1202667] door : 0.0945 0.1370 [2025-03-27 23:31:14,257 INFO hook.py line 689 1202667] table : 0.3212 0.4344 [2025-03-27 23:31:14,257 INFO hook.py line 689 1202667] chair : 0.4558 0.6271 [2025-03-27 23:31:14,257 INFO hook.py line 689 1202667] sofa : 0.0006 0.0006 [2025-03-27 23:31:14,257 INFO hook.py line 689 1202667] bookcase : 0.1915 0.2047 [2025-03-27 23:31:14,257 INFO hook.py line 689 1202667] board : 0.3173 0.5152 [2025-03-27 23:31:14,257 INFO hook.py line 689 1202667] clutter : 0.2610 0.4022 [2025-03-27 23:31:14,257 INFO hook.py line 690 1202667] ######################################## [2025-03-27 23:31:14,257 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3127/0.4075/0.7180. [2025-03-27 23:31:14,258 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 23:31:14,288 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3148 [2025-03-27 23:31:14,289 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 23:31:47,207 INFO hook.py line 566 1202667] Train: [23/100][50/255] Data 0.002 (0.218) Batch 0.128 (0.520) Remain 02:51:50 loss: 1.6734 Lr: 2.76385e-03 [2025-03-27 23:32:04,736 INFO hook.py line 566 1202667] Train: [23/100][100/255] Data 1.284 (0.164) Batch 1.428 (0.433) Remain 02:22:39 loss: 1.7892 Lr: 2.75859e-03 [2025-03-27 23:32:30,930 INFO hook.py line 566 1202667] Train: [23/100][150/255] Data 0.002 (0.117) Batch 0.145 (0.464) Remain 02:32:31 loss: 1.7722 Lr: 2.75327e-03 [2025-03-27 23:32:53,196 INFO hook.py line 566 1202667] Train: [23/100][200/255] Data 0.001 (0.104) Batch 0.160 (0.459) Remain 02:30:36 loss: 1.6723 Lr: 2.74790e-03 [2025-03-27 23:33:21,267 INFO hook.py line 566 1202667] Train: [23/100][250/255] Data 0.001 (0.105) Batch 0.112 (0.480) Remain 02:37:01 loss: 1.5600 Lr: 2.74248e-03 [2025-03-27 23:33:21,822 INFO misc.py line 135 1202667] Train result: loss: 1.7113 [2025-03-27 23:33:21,853 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 23:33:34,103 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8200 [2025-03-27 23:33:36,201 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5479 [2025-03-27 23:33:36,501 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6878 [2025-03-27 23:33:37,187 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.4279 [2025-03-27 23:33:37,460 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.7137 [2025-03-27 23:33:37,742 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9356 [2025-03-27 23:33:40,722 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7799 [2025-03-27 23:33:41,186 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0864 [2025-03-27 23:33:41,389 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.3198 [2025-03-27 23:33:41,853 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.6227 [2025-03-27 23:33:42,056 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6353 [2025-03-27 23:33:42,211 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4802 [2025-03-27 23:33:42,494 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1578 [2025-03-27 23:33:43,111 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7546 [2025-03-27 23:33:43,428 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.8266 [2025-03-27 23:33:44,712 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8302 [2025-03-27 23:33:45,958 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6680 [2025-03-27 23:33:46,980 INFO hook.py line 674 1202667] ######################################## [2025-03-27 23:33:46,980 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 23:33:46,980 INFO hook.py line 680 1202667] ######################################## [2025-03-27 23:33:46,980 INFO hook.py line 689 1202667] ceiling : 0.7874 0.9256 [2025-03-27 23:33:46,980 INFO hook.py line 689 1202667] floor : 0.8495 0.9737 [2025-03-27 23:33:46,980 INFO hook.py line 689 1202667] wall : 0.6742 0.9411 [2025-03-27 23:33:46,980 INFO hook.py line 689 1202667] beam : 0.0004 0.0040 [2025-03-27 23:33:46,980 INFO hook.py line 689 1202667] column : 0.0023 0.0024 [2025-03-27 23:33:46,980 INFO hook.py line 689 1202667] window : 0.1272 0.1340 [2025-03-27 23:33:46,980 INFO hook.py line 689 1202667] door : 0.0988 0.1444 [2025-03-27 23:33:46,980 INFO hook.py line 689 1202667] table : 0.3281 0.4462 [2025-03-27 23:33:46,980 INFO hook.py line 689 1202667] chair : 0.4576 0.6249 [2025-03-27 23:33:46,980 INFO hook.py line 689 1202667] sofa : 0.0009 0.0009 [2025-03-27 23:33:46,980 INFO hook.py line 689 1202667] bookcase : 0.2064 0.2234 [2025-03-27 23:33:46,980 INFO hook.py line 689 1202667] board : 0.3262 0.5601 [2025-03-27 23:33:46,980 INFO hook.py line 689 1202667] clutter : 0.2620 0.4054 [2025-03-27 23:33:46,980 INFO hook.py line 690 1202667] ######################################## [2025-03-27 23:33:46,980 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3170/0.4143/0.7205. [2025-03-27 23:33:46,981 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 23:33:47,007 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.3170 [2025-03-27 23:33:47,008 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3170 [2025-03-27 23:33:47,008 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 23:34:16,715 INFO hook.py line 566 1202667] Train: [24/100][50/255] Data 0.002 (0.002) Batch 0.145 (0.365) Remain 01:59:07 loss: 1.8584 Lr: 2.73645e-03 [2025-03-27 23:34:39,884 INFO hook.py line 566 1202667] Train: [24/100][100/255] Data 0.002 (0.139) Batch 0.140 (0.416) Remain 02:15:20 loss: 1.6869 Lr: 2.73092e-03 [2025-03-27 23:35:02,870 INFO hook.py line 566 1202667] Train: [24/100][150/255] Data 0.002 (0.143) Batch 0.126 (0.431) Remain 02:19:51 loss: 1.7199 Lr: 2.72533e-03 [2025-03-27 23:35:24,385 INFO hook.py line 566 1202667] Train: [24/100][200/255] Data 0.002 (0.141) Batch 0.143 (0.431) Remain 02:19:28 loss: 1.7917 Lr: 2.71981e-03 [2025-03-27 23:35:44,191 INFO hook.py line 566 1202667] Train: [24/100][250/255] Data 0.000 (0.126) Batch 0.110 (0.424) Remain 02:16:51 loss: 1.6033 Lr: 2.71413e-03 [2025-03-27 23:35:47,594 INFO misc.py line 135 1202667] Train result: loss: 1.6935 [2025-03-27 23:35:47,632 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 23:35:59,757 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8261 [2025-03-27 23:36:02,106 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5404 [2025-03-27 23:36:02,407 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.7022 [2025-03-27 23:36:03,092 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.4228 [2025-03-27 23:36:03,361 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.7061 [2025-03-27 23:36:03,642 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9314 [2025-03-27 23:36:06,631 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7724 [2025-03-27 23:36:07,094 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0832 [2025-03-27 23:36:07,295 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.3174 [2025-03-27 23:36:07,763 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.6018 [2025-03-27 23:36:07,966 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6382 [2025-03-27 23:36:08,122 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4730 [2025-03-27 23:36:08,405 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1700 [2025-03-27 23:36:09,025 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7589 [2025-03-27 23:36:09,342 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.8209 [2025-03-27 23:36:10,628 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8333 [2025-03-27 23:36:11,873 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6600 [2025-03-27 23:36:12,999 INFO hook.py line 674 1202667] ######################################## [2025-03-27 23:36:12,999 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 23:36:12,999 INFO hook.py line 680 1202667] ######################################## [2025-03-27 23:36:12,999 INFO hook.py line 689 1202667] ceiling : 0.7883 0.9262 [2025-03-27 23:36:12,999 INFO hook.py line 689 1202667] floor : 0.8503 0.9746 [2025-03-27 23:36:12,999 INFO hook.py line 689 1202667] wall : 0.6746 0.9403 [2025-03-27 23:36:12,999 INFO hook.py line 689 1202667] beam : 0.0005 0.0053 [2025-03-27 23:36:12,999 INFO hook.py line 689 1202667] column : 0.0033 0.0034 [2025-03-27 23:36:12,999 INFO hook.py line 689 1202667] window : 0.1300 0.1373 [2025-03-27 23:36:12,999 INFO hook.py line 689 1202667] door : 0.0982 0.1440 [2025-03-27 23:36:12,999 INFO hook.py line 689 1202667] table : 0.3292 0.4570 [2025-03-27 23:36:12,999 INFO hook.py line 689 1202667] chair : 0.4587 0.6402 [2025-03-27 23:36:12,999 INFO hook.py line 689 1202667] sofa : 0.0013 0.0013 [2025-03-27 23:36:12,999 INFO hook.py line 689 1202667] bookcase : 0.1910 0.2042 [2025-03-27 23:36:12,999 INFO hook.py line 689 1202667] board : 0.3275 0.5613 [2025-03-27 23:36:13,000 INFO hook.py line 689 1202667] clutter : 0.2612 0.4067 [2025-03-27 23:36:13,000 INFO hook.py line 690 1202667] ######################################## [2025-03-27 23:36:13,000 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3165/0.4155/0.7195. [2025-03-27 23:36:13,000 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 23:36:13,028 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3170 [2025-03-27 23:36:13,028 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 23:36:46,958 INFO hook.py line 566 1202667] Train: [25/100][50/255] Data 0.001 (0.182) Batch 0.126 (0.484) Remain 02:35:47 loss: 1.6100 Lr: 2.70781e-03 [2025-03-27 23:37:11,544 INFO hook.py line 566 1202667] Train: [25/100][100/255] Data 0.002 (0.239) Batch 0.136 (0.488) Remain 02:36:44 loss: 1.6896 Lr: 2.70202e-03 [2025-03-27 23:37:36,135 INFO hook.py line 566 1202667] Train: [25/100][150/255] Data 0.002 (0.250) Batch 0.143 (0.489) Remain 02:36:46 loss: 1.7828 Lr: 2.69618e-03 [2025-03-27 23:38:00,316 INFO hook.py line 566 1202667] Train: [25/100][200/255] Data 0.001 (0.203) Batch 1.900 (0.488) Remain 02:35:54 loss: 1.7519 Lr: 2.69028e-03 [2025-03-27 23:38:26,466 INFO hook.py line 566 1202667] Train: [25/100][250/255] Data 0.000 (0.189) Batch 0.121 (0.495) Remain 02:37:47 loss: 1.6933 Lr: 2.68434e-03 [2025-03-27 23:38:27,324 INFO misc.py line 135 1202667] Train result: loss: 1.7046 [2025-03-27 23:38:27,359 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 23:38:40,172 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8208 [2025-03-27 23:38:41,911 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5388 [2025-03-27 23:38:42,209 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6962 [2025-03-27 23:38:42,896 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.4263 [2025-03-27 23:38:43,166 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.7055 [2025-03-27 23:38:43,447 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9258 [2025-03-27 23:38:46,430 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7630 [2025-03-27 23:38:46,893 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0708 [2025-03-27 23:38:47,096 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.3153 [2025-03-27 23:38:47,559 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.6069 [2025-03-27 23:38:47,763 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6329 [2025-03-27 23:38:47,918 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4663 [2025-03-27 23:38:48,201 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1565 [2025-03-27 23:38:48,819 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7432 [2025-03-27 23:38:49,136 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.8148 [2025-03-27 23:38:50,420 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8335 [2025-03-27 23:38:51,664 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6530 [2025-03-27 23:38:52,607 INFO hook.py line 674 1202667] ######################################## [2025-03-27 23:38:52,607 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 23:38:52,607 INFO hook.py line 680 1202667] ######################################## [2025-03-27 23:38:52,607 INFO hook.py line 689 1202667] ceiling : 0.7890 0.9255 [2025-03-27 23:38:52,607 INFO hook.py line 689 1202667] floor : 0.8535 0.9739 [2025-03-27 23:38:52,608 INFO hook.py line 689 1202667] wall : 0.6717 0.9444 [2025-03-27 23:38:52,608 INFO hook.py line 689 1202667] beam : 0.0005 0.0048 [2025-03-27 23:38:52,608 INFO hook.py line 689 1202667] column : 0.0023 0.0024 [2025-03-27 23:38:52,608 INFO hook.py line 689 1202667] window : 0.1309 0.1382 [2025-03-27 23:38:52,608 INFO hook.py line 689 1202667] door : 0.0974 0.1414 [2025-03-27 23:38:52,608 INFO hook.py line 689 1202667] table : 0.3342 0.4555 [2025-03-27 23:38:52,608 INFO hook.py line 689 1202667] chair : 0.4615 0.6405 [2025-03-27 23:38:52,608 INFO hook.py line 689 1202667] sofa : 0.0019 0.0019 [2025-03-27 23:38:52,608 INFO hook.py line 689 1202667] bookcase : 0.1962 0.2102 [2025-03-27 23:38:52,608 INFO hook.py line 689 1202667] board : 0.3322 0.5441 [2025-03-27 23:38:52,608 INFO hook.py line 689 1202667] clutter : 0.2620 0.4055 [2025-03-27 23:38:52,608 INFO hook.py line 690 1202667] ######################################## [2025-03-27 23:38:52,608 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3180/0.4145/0.7206. [2025-03-27 23:38:52,609 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 23:38:52,638 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.3180 [2025-03-27 23:38:52,638 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3180 [2025-03-27 23:38:52,639 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 23:39:23,447 INFO hook.py line 566 1202667] Train: [26/100][50/255] Data 0.001 (0.067) Batch 0.140 (0.435) Remain 02:18:17 loss: 1.4677 Lr: 2.67774e-03 [2025-03-27 23:39:45,301 INFO hook.py line 566 1202667] Train: [26/100][100/255] Data 0.002 (0.102) Batch 0.139 (0.436) Remain 02:18:16 loss: 1.5519 Lr: 2.67170e-03 [2025-03-27 23:40:06,231 INFO hook.py line 566 1202667] Train: [26/100][150/255] Data 0.002 (0.143) Batch 0.135 (0.430) Remain 02:16:01 loss: 1.7163 Lr: 2.66560e-03 [2025-03-27 23:40:30,550 INFO hook.py line 566 1202667] Train: [26/100][200/255] Data 0.002 (0.154) Batch 0.238 (0.444) Remain 02:20:10 loss: 1.9031 Lr: 2.65945e-03 [2025-03-27 23:40:50,545 INFO hook.py line 566 1202667] Train: [26/100][250/255] Data 0.000 (0.149) Batch 0.121 (0.435) Remain 02:16:58 loss: 1.8881 Lr: 2.65326e-03 [2025-03-27 23:40:51,631 INFO misc.py line 135 1202667] Train result: loss: 1.6998 [2025-03-27 23:40:51,665 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 23:41:04,480 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8221 [2025-03-27 23:41:06,220 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5366 [2025-03-27 23:41:06,517 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.7031 [2025-03-27 23:41:07,203 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.4214 [2025-03-27 23:41:07,473 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6993 [2025-03-27 23:41:07,755 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9249 [2025-03-27 23:41:10,744 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7703 [2025-03-27 23:41:11,207 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0741 [2025-03-27 23:41:11,409 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.3152 [2025-03-27 23:41:11,873 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5945 [2025-03-27 23:41:12,076 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6313 [2025-03-27 23:41:12,232 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4679 [2025-03-27 23:41:12,515 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1660 [2025-03-27 23:41:13,132 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7541 [2025-03-27 23:41:13,449 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.8157 [2025-03-27 23:41:14,733 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8300 [2025-03-27 23:41:15,979 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6544 [2025-03-27 23:41:16,893 INFO hook.py line 674 1202667] ######################################## [2025-03-27 23:41:16,894 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 23:41:16,894 INFO hook.py line 680 1202667] ######################################## [2025-03-27 23:41:16,894 INFO hook.py line 689 1202667] ceiling : 0.7896 0.9264 [2025-03-27 23:41:16,894 INFO hook.py line 689 1202667] floor : 0.8533 0.9742 [2025-03-27 23:41:16,894 INFO hook.py line 689 1202667] wall : 0.6723 0.9429 [2025-03-27 23:41:16,894 INFO hook.py line 689 1202667] beam : 0.0003 0.0026 [2025-03-27 23:41:16,894 INFO hook.py line 689 1202667] column : 0.0028 0.0029 [2025-03-27 23:41:16,894 INFO hook.py line 689 1202667] window : 0.1335 0.1411 [2025-03-27 23:41:16,894 INFO hook.py line 689 1202667] door : 0.0975 0.1407 [2025-03-27 23:41:16,894 INFO hook.py line 689 1202667] table : 0.3323 0.4569 [2025-03-27 23:41:16,894 INFO hook.py line 689 1202667] chair : 0.4607 0.6457 [2025-03-27 23:41:16,894 INFO hook.py line 689 1202667] sofa : 0.0018 0.0018 [2025-03-27 23:41:16,894 INFO hook.py line 689 1202667] bookcase : 0.1912 0.2043 [2025-03-27 23:41:16,894 INFO hook.py line 689 1202667] board : 0.3313 0.5520 [2025-03-27 23:41:16,894 INFO hook.py line 689 1202667] clutter : 0.2607 0.4048 [2025-03-27 23:41:16,894 INFO hook.py line 690 1202667] ######################################## [2025-03-27 23:41:16,894 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3175/0.4151/0.7201. [2025-03-27 23:41:16,895 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 23:41:16,923 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3180 [2025-03-27 23:41:16,923 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 23:41:54,601 INFO hook.py line 566 1202667] Train: [27/100][50/255] Data 0.001 (0.226) Batch 0.115 (0.642) Remain 03:21:27 loss: 1.6681 Lr: 2.64639e-03 [2025-03-27 23:42:15,097 INFO hook.py line 566 1202667] Train: [27/100][100/255] Data 0.003 (0.191) Batch 0.147 (0.522) Remain 02:43:26 loss: 1.7248 Lr: 2.64009e-03 [2025-03-27 23:42:40,167 INFO hook.py line 566 1202667] Train: [27/100][150/255] Data 0.003 (0.134) Batch 0.145 (0.515) Remain 02:40:46 loss: 1.7160 Lr: 2.63375e-03 [2025-03-27 23:43:01,277 INFO hook.py line 566 1202667] Train: [27/100][200/255] Data 0.001 (0.110) Batch 0.448 (0.492) Remain 02:32:59 loss: 1.7835 Lr: 2.62736e-03 [2025-03-27 23:43:25,300 INFO hook.py line 566 1202667] Train: [27/100][250/255] Data 0.001 (0.096) Batch 2.541 (0.489) Remain 02:31:52 loss: 1.4595 Lr: 2.62092e-03 [2025-03-27 23:43:25,865 INFO misc.py line 135 1202667] Train result: loss: 1.6910 [2025-03-27 23:43:25,896 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 23:43:39,012 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8246 [2025-03-27 23:43:40,755 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5434 [2025-03-27 23:43:41,056 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6968 [2025-03-27 23:43:41,741 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.4263 [2025-03-27 23:43:42,009 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6965 [2025-03-27 23:43:42,291 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9190 [2025-03-27 23:43:45,272 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7606 [2025-03-27 23:43:45,736 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0736 [2025-03-27 23:43:45,937 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.3126 [2025-03-27 23:43:46,400 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5947 [2025-03-27 23:43:46,604 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6210 [2025-03-27 23:43:46,758 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4599 [2025-03-27 23:43:47,042 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1667 [2025-03-27 23:43:47,662 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7453 [2025-03-27 23:43:47,978 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.8053 [2025-03-27 23:43:49,263 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8317 [2025-03-27 23:43:50,506 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6494 [2025-03-27 23:43:51,466 INFO hook.py line 674 1202667] ######################################## [2025-03-27 23:43:51,466 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 23:43:51,466 INFO hook.py line 680 1202667] ######################################## [2025-03-27 23:43:51,466 INFO hook.py line 689 1202667] ceiling : 0.7901 0.9277 [2025-03-27 23:43:51,466 INFO hook.py line 689 1202667] floor : 0.8535 0.9744 [2025-03-27 23:43:51,466 INFO hook.py line 689 1202667] wall : 0.6740 0.9415 [2025-03-27 23:43:51,466 INFO hook.py line 689 1202667] beam : 0.0004 0.0040 [2025-03-27 23:43:51,466 INFO hook.py line 689 1202667] column : 0.0021 0.0021 [2025-03-27 23:43:51,466 INFO hook.py line 689 1202667] window : 0.1333 0.1409 [2025-03-27 23:43:51,466 INFO hook.py line 689 1202667] door : 0.0996 0.1458 [2025-03-27 23:43:51,466 INFO hook.py line 689 1202667] table : 0.3289 0.4451 [2025-03-27 23:43:51,466 INFO hook.py line 689 1202667] chair : 0.4624 0.6449 [2025-03-27 23:43:51,466 INFO hook.py line 689 1202667] sofa : 0.0012 0.0013 [2025-03-27 23:43:51,466 INFO hook.py line 689 1202667] bookcase : 0.1988 0.2133 [2025-03-27 23:43:51,466 INFO hook.py line 689 1202667] board : 0.3332 0.5678 [2025-03-27 23:43:51,466 INFO hook.py line 689 1202667] clutter : 0.2616 0.4063 [2025-03-27 23:43:51,466 INFO hook.py line 690 1202667] ######################################## [2025-03-27 23:43:51,466 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3184/0.4165/0.7209. [2025-03-27 23:43:51,467 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 23:43:51,495 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.3184 [2025-03-27 23:43:51,495 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3184 [2025-03-27 23:43:51,495 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 23:44:22,870 INFO hook.py line 566 1202667] Train: [28/100][50/255] Data 0.002 (0.052) Batch 0.141 (0.482) Remain 02:29:04 loss: 1.6573 Lr: 2.61378e-03 [2025-03-27 23:44:44,875 INFO hook.py line 566 1202667] Train: [28/100][100/255] Data 0.002 (0.078) Batch 0.145 (0.460) Remain 02:22:02 loss: 1.7405 Lr: 2.60724e-03 [2025-03-27 23:45:11,996 INFO hook.py line 566 1202667] Train: [28/100][150/255] Data 0.003 (0.052) Batch 0.151 (0.488) Remain 02:30:15 loss: 1.5675 Lr: 2.60066e-03 [2025-03-27 23:45:32,589 INFO hook.py line 566 1202667] Train: [28/100][200/255] Data 0.003 (0.048) Batch 0.127 (0.469) Remain 02:23:53 loss: 1.7560 Lr: 2.59403e-03 [2025-03-27 23:45:55,141 INFO hook.py line 566 1202667] Train: [28/100][250/255] Data 0.001 (0.045) Batch 3.265 (0.465) Remain 02:22:24 loss: 1.4769 Lr: 2.58735e-03 [2025-03-27 23:45:55,700 INFO misc.py line 135 1202667] Train result: loss: 1.6956 [2025-03-27 23:45:55,735 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 23:46:07,941 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8150 [2025-03-27 23:46:09,685 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5250 [2025-03-27 23:46:09,983 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6938 [2025-03-27 23:46:10,667 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.4142 [2025-03-27 23:46:10,937 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6890 [2025-03-27 23:46:11,219 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9195 [2025-03-27 23:46:14,202 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7727 [2025-03-27 23:46:14,665 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0729 [2025-03-27 23:46:14,866 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.3159 [2025-03-27 23:46:15,330 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5957 [2025-03-27 23:46:15,534 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6236 [2025-03-27 23:46:15,688 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4717 [2025-03-27 23:46:15,972 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1646 [2025-03-27 23:46:16,591 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7451 [2025-03-27 23:46:16,908 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.8114 [2025-03-27 23:46:18,194 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8293 [2025-03-27 23:46:19,440 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6559 [2025-03-27 23:46:20,477 INFO hook.py line 674 1202667] ######################################## [2025-03-27 23:46:20,478 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 23:46:20,478 INFO hook.py line 680 1202667] ######################################## [2025-03-27 23:46:20,478 INFO hook.py line 689 1202667] ceiling : 0.7905 0.9255 [2025-03-27 23:46:20,478 INFO hook.py line 689 1202667] floor : 0.8497 0.9750 [2025-03-27 23:46:20,478 INFO hook.py line 689 1202667] wall : 0.6757 0.9401 [2025-03-27 23:46:20,478 INFO hook.py line 689 1202667] beam : 0.0005 0.0050 [2025-03-27 23:46:20,479 INFO hook.py line 689 1202667] column : 0.0038 0.0040 [2025-03-27 23:46:20,479 INFO hook.py line 689 1202667] window : 0.1363 0.1442 [2025-03-27 23:46:20,479 INFO hook.py line 689 1202667] door : 0.1010 0.1489 [2025-03-27 23:46:20,479 INFO hook.py line 689 1202667] table : 0.3258 0.4455 [2025-03-27 23:46:20,479 INFO hook.py line 689 1202667] chair : 0.4610 0.6416 [2025-03-27 23:46:20,479 INFO hook.py line 689 1202667] sofa : 0.0017 0.0017 [2025-03-27 23:46:20,479 INFO hook.py line 689 1202667] bookcase : 0.1996 0.2142 [2025-03-27 23:46:20,479 INFO hook.py line 689 1202667] board : 0.3383 0.5723 [2025-03-27 23:46:20,479 INFO hook.py line 689 1202667] clutter : 0.2626 0.4094 [2025-03-27 23:46:20,479 INFO hook.py line 690 1202667] ######################################## [2025-03-27 23:46:20,479 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3189/0.4175/0.7207. [2025-03-27 23:46:20,480 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 23:46:20,510 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.3189 [2025-03-27 23:46:20,510 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3189 [2025-03-27 23:46:20,510 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 23:46:47,051 INFO hook.py line 566 1202667] Train: [29/100][50/255] Data 0.002 (0.021) Batch 0.147 (0.407) Remain 02:04:03 loss: 1.6068 Lr: 2.57995e-03 [2025-03-27 23:47:12,586 INFO hook.py line 566 1202667] Train: [29/100][100/255] Data 0.001 (0.144) Batch 0.157 (0.460) Remain 02:20:03 loss: 1.5757 Lr: 2.57318e-03 [2025-03-27 23:47:36,259 INFO hook.py line 566 1202667] Train: [29/100][150/255] Data 0.002 (0.125) Batch 0.146 (0.465) Remain 02:21:02 loss: 1.6443 Lr: 2.56636e-03 [2025-03-27 23:48:01,701 INFO hook.py line 566 1202667] Train: [29/100][200/255] Data 3.666 (0.120) Batch 3.804 (0.476) Remain 02:24:02 loss: 1.9313 Lr: 2.55950e-03 [2025-03-27 23:48:21,751 INFO hook.py line 566 1202667] Train: [29/100][250/255] Data 0.000 (0.151) Batch 0.115 (0.461) Remain 02:19:04 loss: 1.8369 Lr: 2.55259e-03 [2025-03-27 23:48:22,323 INFO misc.py line 135 1202667] Train result: loss: 1.6825 [2025-03-27 23:48:22,364 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 23:48:34,137 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8187 [2025-03-27 23:48:36,798 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5341 [2025-03-27 23:48:37,097 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6890 [2025-03-27 23:48:37,781 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.4152 [2025-03-27 23:48:38,051 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6900 [2025-03-27 23:48:38,333 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9117 [2025-03-27 23:48:41,318 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7553 [2025-03-27 23:48:41,783 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0632 [2025-03-27 23:48:41,986 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.3063 [2025-03-27 23:48:42,452 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5994 [2025-03-27 23:48:42,655 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6244 [2025-03-27 23:48:42,810 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4714 [2025-03-27 23:48:43,092 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1671 [2025-03-27 23:48:43,713 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7427 [2025-03-27 23:48:44,032 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.8024 [2025-03-27 23:48:45,317 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8349 [2025-03-27 23:48:46,560 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6421 [2025-03-27 23:48:47,516 INFO hook.py line 674 1202667] ######################################## [2025-03-27 23:48:47,516 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 23:48:47,516 INFO hook.py line 680 1202667] ######################################## [2025-03-27 23:48:47,516 INFO hook.py line 689 1202667] ceiling : 0.7907 0.9271 [2025-03-27 23:48:47,516 INFO hook.py line 689 1202667] floor : 0.8488 0.9755 [2025-03-27 23:48:47,516 INFO hook.py line 689 1202667] wall : 0.6736 0.9424 [2025-03-27 23:48:47,516 INFO hook.py line 689 1202667] beam : 0.0006 0.0068 [2025-03-27 23:48:47,516 INFO hook.py line 689 1202667] column : 0.0030 0.0031 [2025-03-27 23:48:47,516 INFO hook.py line 689 1202667] window : 0.1360 0.1436 [2025-03-27 23:48:47,516 INFO hook.py line 689 1202667] door : 0.0993 0.1450 [2025-03-27 23:48:47,516 INFO hook.py line 689 1202667] table : 0.3250 0.4360 [2025-03-27 23:48:47,517 INFO hook.py line 689 1202667] chair : 0.4604 0.6313 [2025-03-27 23:48:47,517 INFO hook.py line 689 1202667] sofa : 0.0018 0.0018 [2025-03-27 23:48:47,517 INFO hook.py line 689 1202667] bookcase : 0.2048 0.2204 [2025-03-27 23:48:47,517 INFO hook.py line 689 1202667] board : 0.3367 0.5603 [2025-03-27 23:48:47,517 INFO hook.py line 689 1202667] clutter : 0.2619 0.4043 [2025-03-27 23:48:47,517 INFO hook.py line 690 1202667] ######################################## [2025-03-27 23:48:47,517 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3186/0.4152/0.7212. [2025-03-27 23:48:47,517 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 23:48:47,549 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3189 [2025-03-27 23:48:47,549 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 23:49:17,901 INFO hook.py line 566 1202667] Train: [30/100][50/255] Data 0.002 (0.002) Batch 1.297 (0.367) Remain 01:50:24 loss: 1.4748 Lr: 2.54494e-03 [2025-03-27 23:49:44,843 INFO hook.py line 566 1202667] Train: [30/100][100/255] Data 0.002 (0.011) Batch 0.145 (0.456) Remain 02:16:41 loss: 1.8200 Lr: 2.53795e-03 [2025-03-27 23:50:11,365 INFO hook.py line 566 1202667] Train: [30/100][150/255] Data 0.002 (0.022) Batch 0.132 (0.481) Remain 02:23:56 loss: 1.7158 Lr: 2.53090e-03 [2025-03-27 23:50:29,639 INFO hook.py line 566 1202667] Train: [30/100][200/255] Data 0.001 (0.035) Batch 0.149 (0.452) Remain 02:14:47 loss: 1.6188 Lr: 2.52382e-03 [2025-03-27 23:50:51,700 INFO hook.py line 566 1202667] Train: [30/100][250/255] Data 2.305 (0.045) Batch 2.419 (0.450) Remain 02:13:47 loss: 1.7292 Lr: 2.51669e-03 [2025-03-27 23:50:53,299 INFO misc.py line 135 1202667] Train result: loss: 1.6804 [2025-03-27 23:50:53,329 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 23:51:07,191 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8108 [2025-03-27 23:51:08,929 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5233 [2025-03-27 23:51:09,226 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6830 [2025-03-27 23:51:09,909 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.4098 [2025-03-27 23:51:10,180 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6769 [2025-03-27 23:51:10,462 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9250 [2025-03-27 23:51:13,445 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7430 [2025-03-27 23:51:13,908 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0591 [2025-03-27 23:51:14,109 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2940 [2025-03-27 23:51:14,574 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5862 [2025-03-27 23:51:14,778 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6181 [2025-03-27 23:51:14,934 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4698 [2025-03-27 23:51:15,216 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1576 [2025-03-27 23:51:15,835 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7353 [2025-03-27 23:51:16,151 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7857 [2025-03-27 23:51:17,434 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8283 [2025-03-27 23:51:18,682 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6403 [2025-03-27 23:51:19,656 INFO hook.py line 674 1202667] ######################################## [2025-03-27 23:51:19,656 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 23:51:19,656 INFO hook.py line 680 1202667] ######################################## [2025-03-27 23:51:19,656 INFO hook.py line 689 1202667] ceiling : 0.7909 0.9274 [2025-03-27 23:51:19,657 INFO hook.py line 689 1202667] floor : 0.8535 0.9749 [2025-03-27 23:51:19,657 INFO hook.py line 689 1202667] wall : 0.6736 0.9434 [2025-03-27 23:51:19,657 INFO hook.py line 689 1202667] beam : 0.0006 0.0070 [2025-03-27 23:51:19,657 INFO hook.py line 689 1202667] column : 0.0029 0.0030 [2025-03-27 23:51:19,657 INFO hook.py line 689 1202667] window : 0.1385 0.1472 [2025-03-27 23:51:19,657 INFO hook.py line 689 1202667] door : 0.1020 0.1517 [2025-03-27 23:51:19,657 INFO hook.py line 689 1202667] table : 0.3301 0.4520 [2025-03-27 23:51:19,658 INFO hook.py line 689 1202667] chair : 0.4628 0.6472 [2025-03-27 23:51:19,658 INFO hook.py line 689 1202667] sofa : 0.0019 0.0019 [2025-03-27 23:51:19,658 INFO hook.py line 689 1202667] bookcase : 0.2084 0.2253 [2025-03-27 23:51:19,658 INFO hook.py line 689 1202667] board : 0.3381 0.5717 [2025-03-27 23:51:19,658 INFO hook.py line 689 1202667] clutter : 0.2581 0.3885 [2025-03-27 23:51:19,658 INFO hook.py line 690 1202667] ######################################## [2025-03-27 23:51:19,658 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3201/0.4186/0.7218. [2025-03-27 23:51:19,659 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 23:51:19,690 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.3201 [2025-03-27 23:51:19,690 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3201 [2025-03-27 23:51:19,690 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 23:51:50,815 INFO hook.py line 566 1202667] Train: [31/100][50/255] Data 0.002 (0.038) Batch 0.123 (0.494) Remain 02:26:40 loss: 1.6753 Lr: 2.50879e-03 [2025-03-27 23:52:10,510 INFO hook.py line 566 1202667] Train: [31/100][100/255] Data 0.002 (0.038) Batch 0.153 (0.443) Remain 02:10:56 loss: 1.6194 Lr: 2.50158e-03 [2025-03-27 23:52:37,176 INFO hook.py line 566 1202667] Train: [31/100][150/255] Data 0.002 (0.102) Batch 0.153 (0.473) Remain 02:19:40 loss: 1.6365 Lr: 2.49431e-03 [2025-03-27 23:53:04,897 INFO hook.py line 566 1202667] Train: [31/100][200/255] Data 0.001 (0.077) Batch 0.124 (0.494) Remain 02:25:19 loss: 1.7455 Lr: 2.48701e-03 [2025-03-27 23:53:25,542 INFO hook.py line 566 1202667] Train: [31/100][250/255] Data 0.000 (0.086) Batch 0.106 (0.478) Remain 02:20:05 loss: 1.6473 Lr: 2.47967e-03 [2025-03-27 23:53:26,116 INFO misc.py line 135 1202667] Train result: loss: 1.6840 [2025-03-27 23:53:26,144 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 23:53:39,502 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8235 [2025-03-27 23:53:41,241 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5243 [2025-03-27 23:53:41,541 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6868 [2025-03-27 23:53:42,224 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.4080 [2025-03-27 23:53:42,492 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6917 [2025-03-27 23:53:42,773 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9127 [2025-03-27 23:53:45,755 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7507 [2025-03-27 23:53:46,218 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0601 [2025-03-27 23:53:46,418 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2972 [2025-03-27 23:53:46,882 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5944 [2025-03-27 23:53:47,087 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6186 [2025-03-27 23:53:47,240 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4545 [2025-03-27 23:53:47,523 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1735 [2025-03-27 23:53:48,143 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7431 [2025-03-27 23:53:48,459 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7983 [2025-03-27 23:53:49,744 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8231 [2025-03-27 23:53:50,991 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6496 [2025-03-27 23:53:51,985 INFO hook.py line 674 1202667] ######################################## [2025-03-27 23:53:51,986 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 23:53:51,986 INFO hook.py line 680 1202667] ######################################## [2025-03-27 23:53:51,986 INFO hook.py line 689 1202667] ceiling : 0.7917 0.9258 [2025-03-27 23:53:51,986 INFO hook.py line 689 1202667] floor : 0.8546 0.9748 [2025-03-27 23:53:51,986 INFO hook.py line 689 1202667] wall : 0.6755 0.9399 [2025-03-27 23:53:51,986 INFO hook.py line 689 1202667] beam : 0.0004 0.0044 [2025-03-27 23:53:51,986 INFO hook.py line 689 1202667] column : 0.0031 0.0032 [2025-03-27 23:53:51,986 INFO hook.py line 689 1202667] window : 0.1265 0.1325 [2025-03-27 23:53:51,986 INFO hook.py line 689 1202667] door : 0.1025 0.1514 [2025-03-27 23:53:51,986 INFO hook.py line 689 1202667] table : 0.3349 0.4638 [2025-03-27 23:53:51,986 INFO hook.py line 689 1202667] chair : 0.4628 0.6408 [2025-03-27 23:53:51,986 INFO hook.py line 689 1202667] sofa : 0.0034 0.0034 [2025-03-27 23:53:51,986 INFO hook.py line 689 1202667] bookcase : 0.1955 0.2090 [2025-03-27 23:53:51,986 INFO hook.py line 689 1202667] board : 0.3394 0.5798 [2025-03-27 23:53:51,986 INFO hook.py line 689 1202667] clutter : 0.2633 0.4138 [2025-03-27 23:53:51,986 INFO hook.py line 690 1202667] ######################################## [2025-03-27 23:53:51,986 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3195/0.4187/0.7210. [2025-03-27 23:53:51,986 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 23:53:52,015 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3201 [2025-03-27 23:53:52,015 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 23:54:23,697 INFO hook.py line 566 1202667] Train: [32/100][50/255] Data 2.815 (0.062) Batch 2.926 (0.428) Remain 02:05:13 loss: 1.7817 Lr: 2.47154e-03 [2025-03-27 23:54:48,552 INFO hook.py line 566 1202667] Train: [32/100][100/255] Data 0.001 (0.050) Batch 0.130 (0.464) Remain 02:15:13 loss: 1.8878 Lr: 2.46411e-03 [2025-03-27 23:55:10,150 INFO hook.py line 566 1202667] Train: [32/100][150/255] Data 0.002 (0.086) Batch 4.098 (0.453) Remain 02:11:41 loss: 1.8395 Lr: 2.45664e-03 [2025-03-27 23:55:29,366 INFO hook.py line 566 1202667] Train: [32/100][200/255] Data 0.002 (0.067) Batch 0.131 (0.436) Remain 02:06:15 loss: 1.6365 Lr: 2.44928e-03 [2025-03-27 23:55:54,688 INFO hook.py line 566 1202667] Train: [32/100][250/255] Data 0.001 (0.097) Batch 0.120 (0.450) Remain 02:10:03 loss: 1.6146 Lr: 2.44173e-03 [2025-03-27 23:55:56,401 INFO misc.py line 135 1202667] Train result: loss: 1.6835 [2025-03-27 23:55:56,436 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 23:56:09,302 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8168 [2025-03-27 23:56:11,042 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5303 [2025-03-27 23:56:11,338 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.7067 [2025-03-27 23:56:12,021 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.4113 [2025-03-27 23:56:12,288 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6846 [2025-03-27 23:56:12,570 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9149 [2025-03-27 23:56:15,552 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7572 [2025-03-27 23:56:16,016 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0541 [2025-03-27 23:56:16,215 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.3106 [2025-03-27 23:56:16,679 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5903 [2025-03-27 23:56:16,880 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6338 [2025-03-27 23:56:17,033 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4760 [2025-03-27 23:56:17,316 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1589 [2025-03-27 23:56:17,934 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7450 [2025-03-27 23:56:18,249 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.8012 [2025-03-27 23:56:19,534 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8337 [2025-03-27 23:56:20,783 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6389 [2025-03-27 23:56:21,770 INFO hook.py line 674 1202667] ######################################## [2025-03-27 23:56:21,770 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 23:56:21,770 INFO hook.py line 680 1202667] ######################################## [2025-03-27 23:56:21,771 INFO hook.py line 689 1202667] ceiling : 0.7916 0.9266 [2025-03-27 23:56:21,771 INFO hook.py line 689 1202667] floor : 0.8521 0.9752 [2025-03-27 23:56:21,771 INFO hook.py line 689 1202667] wall : 0.6720 0.9448 [2025-03-27 23:56:21,771 INFO hook.py line 689 1202667] beam : 0.0006 0.0074 [2025-03-27 23:56:21,771 INFO hook.py line 689 1202667] column : 0.0035 0.0037 [2025-03-27 23:56:21,771 INFO hook.py line 689 1202667] window : 0.1426 0.1512 [2025-03-27 23:56:21,771 INFO hook.py line 689 1202667] door : 0.0983 0.1450 [2025-03-27 23:56:21,771 INFO hook.py line 689 1202667] table : 0.3278 0.4547 [2025-03-27 23:56:21,771 INFO hook.py line 689 1202667] chair : 0.4613 0.6561 [2025-03-27 23:56:21,771 INFO hook.py line 689 1202667] sofa : 0.0030 0.0031 [2025-03-27 23:56:21,771 INFO hook.py line 689 1202667] bookcase : 0.2004 0.2149 [2025-03-27 23:56:21,771 INFO hook.py line 689 1202667] board : 0.3427 0.5566 [2025-03-27 23:56:21,771 INFO hook.py line 689 1202667] clutter : 0.2575 0.3875 [2025-03-27 23:56:21,771 INFO hook.py line 690 1202667] ######################################## [2025-03-27 23:56:21,771 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3195/0.4174/0.7210. [2025-03-27 23:56:21,771 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 23:56:21,799 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3201 [2025-03-27 23:56:21,799 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 23:56:51,889 INFO hook.py line 566 1202667] Train: [33/100][50/255] Data 0.002 (0.102) Batch 0.151 (0.438) Remain 02:06:16 loss: 1.6932 Lr: 2.43338e-03 [2025-03-27 23:57:14,269 INFO hook.py line 566 1202667] Train: [33/100][100/255] Data 0.455 (0.055) Batch 0.581 (0.443) Remain 02:07:18 loss: 1.8662 Lr: 2.42575e-03 [2025-03-27 23:57:38,720 INFO hook.py line 566 1202667] Train: [33/100][150/255] Data 0.001 (0.077) Batch 0.153 (0.459) Remain 02:11:24 loss: 1.7650 Lr: 2.41807e-03 [2025-03-27 23:58:02,934 INFO hook.py line 566 1202667] Train: [33/100][200/255] Data 0.002 (0.116) Batch 0.140 (0.465) Remain 02:12:53 loss: 1.6361 Lr: 2.41036e-03 [2025-03-27 23:58:23,049 INFO hook.py line 566 1202667] Train: [33/100][250/255] Data 0.000 (0.139) Batch 0.115 (0.452) Remain 02:08:52 loss: 1.8213 Lr: 2.40261e-03 [2025-03-27 23:58:23,993 INFO misc.py line 135 1202667] Train result: loss: 1.6962 [2025-03-27 23:58:24,026 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-27 23:58:37,449 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8131 [2025-03-27 23:58:39,187 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5141 [2025-03-27 23:58:39,485 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6739 [2025-03-27 23:58:40,169 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.4013 [2025-03-27 23:58:40,440 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6748 [2025-03-27 23:58:40,721 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9153 [2025-03-27 23:58:43,703 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7328 [2025-03-27 23:58:44,166 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0536 [2025-03-27 23:58:44,369 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2933 [2025-03-27 23:58:44,832 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5869 [2025-03-27 23:58:45,034 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6133 [2025-03-27 23:58:45,189 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4645 [2025-03-27 23:58:45,472 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1564 [2025-03-27 23:58:46,089 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7295 [2025-03-27 23:58:46,407 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7814 [2025-03-27 23:58:47,692 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8224 [2025-03-27 23:58:48,935 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6427 [2025-03-27 23:58:49,938 INFO hook.py line 674 1202667] ######################################## [2025-03-27 23:58:49,938 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-27 23:58:49,938 INFO hook.py line 680 1202667] ######################################## [2025-03-27 23:58:49,938 INFO hook.py line 689 1202667] ceiling : 0.7929 0.9286 [2025-03-27 23:58:49,938 INFO hook.py line 689 1202667] floor : 0.8547 0.9745 [2025-03-27 23:58:49,938 INFO hook.py line 689 1202667] wall : 0.6757 0.9411 [2025-03-27 23:58:49,938 INFO hook.py line 689 1202667] beam : 0.0006 0.0072 [2025-03-27 23:58:49,938 INFO hook.py line 689 1202667] column : 0.0031 0.0032 [2025-03-27 23:58:49,938 INFO hook.py line 689 1202667] window : 0.1360 0.1436 [2025-03-27 23:58:49,938 INFO hook.py line 689 1202667] door : 0.1002 0.1449 [2025-03-27 23:58:49,938 INFO hook.py line 689 1202667] table : 0.3329 0.4561 [2025-03-27 23:58:49,938 INFO hook.py line 689 1202667] chair : 0.4631 0.6522 [2025-03-27 23:58:49,938 INFO hook.py line 689 1202667] sofa : 0.0031 0.0032 [2025-03-27 23:58:49,938 INFO hook.py line 689 1202667] bookcase : 0.2141 0.2323 [2025-03-27 23:58:49,938 INFO hook.py line 689 1202667] board : 0.3407 0.5772 [2025-03-27 23:58:49,938 INFO hook.py line 689 1202667] clutter : 0.2610 0.3991 [2025-03-27 23:58:49,938 INFO hook.py line 690 1202667] ######################################## [2025-03-27 23:58:49,938 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3214/0.4202/0.7230. [2025-03-27 23:58:49,939 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-27 23:58:49,965 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.3214 [2025-03-27 23:58:49,965 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3214 [2025-03-27 23:58:49,965 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-27 23:59:18,562 INFO hook.py line 566 1202667] Train: [34/100][50/255] Data 0.002 (0.056) Batch 0.143 (0.340) Remain 01:36:24 loss: 1.6193 Lr: 2.39405e-03 [2025-03-27 23:59:43,421 INFO hook.py line 566 1202667] Train: [34/100][100/255] Data 0.004 (0.060) Batch 0.133 (0.421) Remain 01:59:07 loss: 1.5590 Lr: 2.38622e-03 [2025-03-28 00:00:06,581 INFO hook.py line 566 1202667] Train: [34/100][150/255] Data 0.003 (0.069) Batch 0.156 (0.435) Remain 02:02:50 loss: 1.7063 Lr: 2.37835e-03 [2025-03-28 00:00:30,490 INFO hook.py line 566 1202667] Train: [34/100][200/255] Data 0.003 (0.054) Batch 0.141 (0.446) Remain 02:05:32 loss: 1.7904 Lr: 2.37045e-03 [2025-03-28 00:00:51,626 INFO hook.py line 566 1202667] Train: [34/100][250/255] Data 0.000 (0.043) Batch 0.116 (0.441) Remain 02:03:50 loss: 1.6033 Lr: 2.36251e-03 [2025-03-28 00:00:53,715 INFO misc.py line 135 1202667] Train result: loss: 1.6788 [2025-03-28 00:00:53,745 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 00:01:07,299 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8084 [2025-03-28 00:01:09,041 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5118 [2025-03-28 00:01:09,340 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6812 [2025-03-28 00:01:10,024 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.4002 [2025-03-28 00:01:10,294 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6732 [2025-03-28 00:01:10,575 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9102 [2025-03-28 00:01:13,560 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7339 [2025-03-28 00:01:14,023 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0535 [2025-03-28 00:01:14,225 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2877 [2025-03-28 00:01:14,687 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5780 [2025-03-28 00:01:14,889 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6095 [2025-03-28 00:01:15,043 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4578 [2025-03-28 00:01:15,325 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1606 [2025-03-28 00:01:15,945 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7342 [2025-03-28 00:01:16,262 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7773 [2025-03-28 00:01:17,545 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8192 [2025-03-28 00:01:18,790 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6397 [2025-03-28 00:01:19,828 INFO hook.py line 674 1202667] ######################################## [2025-03-28 00:01:19,828 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 00:01:19,828 INFO hook.py line 680 1202667] ######################################## [2025-03-28 00:01:19,829 INFO hook.py line 689 1202667] ceiling : 0.7926 0.9282 [2025-03-28 00:01:19,829 INFO hook.py line 689 1202667] floor : 0.8559 0.9745 [2025-03-28 00:01:19,829 INFO hook.py line 689 1202667] wall : 0.6751 0.9416 [2025-03-28 00:01:19,829 INFO hook.py line 689 1202667] beam : 0.0007 0.0073 [2025-03-28 00:01:19,829 INFO hook.py line 689 1202667] column : 0.0038 0.0040 [2025-03-28 00:01:19,829 INFO hook.py line 689 1202667] window : 0.1401 0.1485 [2025-03-28 00:01:19,829 INFO hook.py line 689 1202667] door : 0.1007 0.1484 [2025-03-28 00:01:19,829 INFO hook.py line 689 1202667] table : 0.3351 0.4607 [2025-03-28 00:01:19,829 INFO hook.py line 689 1202667] chair : 0.4631 0.6510 [2025-03-28 00:01:19,830 INFO hook.py line 689 1202667] sofa : 0.0029 0.0030 [2025-03-28 00:01:19,830 INFO hook.py line 689 1202667] bookcase : 0.2028 0.2179 [2025-03-28 00:01:19,830 INFO hook.py line 689 1202667] board : 0.3450 0.5798 [2025-03-28 00:01:19,830 INFO hook.py line 689 1202667] clutter : 0.2608 0.4017 [2025-03-28 00:01:19,830 INFO hook.py line 690 1202667] ######################################## [2025-03-28 00:01:19,830 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3214/0.4205/0.7223. [2025-03-28 00:01:19,831 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 00:01:19,860 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.3214 [2025-03-28 00:01:19,861 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3214 [2025-03-28 00:01:19,861 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 00:01:47,246 INFO hook.py line 566 1202667] Train: [35/100][50/255] Data 0.002 (0.002) Batch 0.142 (0.388) Remain 01:48:31 loss: 1.8300 Lr: 2.35374e-03 [2025-03-28 00:02:12,124 INFO hook.py line 566 1202667] Train: [35/100][100/255] Data 0.001 (0.004) Batch 0.137 (0.444) Remain 02:03:56 loss: 1.6426 Lr: 2.34572e-03 [2025-03-28 00:02:31,956 INFO hook.py line 566 1202667] Train: [35/100][150/255] Data 0.002 (0.010) Batch 0.133 (0.428) Remain 01:59:02 loss: 1.6627 Lr: 2.33767e-03 [2025-03-28 00:02:56,013 INFO hook.py line 566 1202667] Train: [35/100][200/255] Data 0.001 (0.063) Batch 2.896 (0.442) Remain 02:02:24 loss: 1.6667 Lr: 2.32959e-03 [2025-03-28 00:03:17,359 INFO hook.py line 566 1202667] Train: [35/100][250/255] Data 0.000 (0.053) Batch 0.123 (0.439) Remain 02:01:13 loss: 1.5346 Lr: 2.32147e-03 [2025-03-28 00:03:17,947 INFO misc.py line 135 1202667] Train result: loss: 1.6718 [2025-03-28 00:03:17,975 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 00:03:31,363 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8014 [2025-03-28 00:03:33,102 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5116 [2025-03-28 00:03:33,400 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6690 [2025-03-28 00:03:34,087 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3931 [2025-03-28 00:03:34,356 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6656 [2025-03-28 00:03:34,640 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9165 [2025-03-28 00:03:37,625 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7323 [2025-03-28 00:03:38,090 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0617 [2025-03-28 00:03:38,292 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2876 [2025-03-28 00:03:38,757 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5855 [2025-03-28 00:03:38,959 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5962 [2025-03-28 00:03:39,114 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4595 [2025-03-28 00:03:39,396 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1595 [2025-03-28 00:03:40,014 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7316 [2025-03-28 00:03:40,333 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7781 [2025-03-28 00:03:41,618 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8107 [2025-03-28 00:03:42,862 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6549 [2025-03-28 00:03:43,825 INFO hook.py line 674 1202667] ######################################## [2025-03-28 00:03:43,825 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 00:03:43,825 INFO hook.py line 680 1202667] ######################################## [2025-03-28 00:03:43,826 INFO hook.py line 689 1202667] ceiling : 0.7936 0.9276 [2025-03-28 00:03:43,826 INFO hook.py line 689 1202667] floor : 0.8568 0.9742 [2025-03-28 00:03:43,826 INFO hook.py line 689 1202667] wall : 0.6779 0.9376 [2025-03-28 00:03:43,826 INFO hook.py line 689 1202667] beam : 0.0006 0.0070 [2025-03-28 00:03:43,826 INFO hook.py line 689 1202667] column : 0.0049 0.0052 [2025-03-28 00:03:43,826 INFO hook.py line 689 1202667] window : 0.1407 0.1484 [2025-03-28 00:03:43,826 INFO hook.py line 689 1202667] door : 0.1020 0.1472 [2025-03-28 00:03:43,826 INFO hook.py line 689 1202667] table : 0.3374 0.4622 [2025-03-28 00:03:43,826 INFO hook.py line 689 1202667] chair : 0.4654 0.6419 [2025-03-28 00:03:43,826 INFO hook.py line 689 1202667] sofa : 0.0033 0.0034 [2025-03-28 00:03:43,826 INFO hook.py line 689 1202667] bookcase : 0.2105 0.2275 [2025-03-28 00:03:43,826 INFO hook.py line 689 1202667] board : 0.3508 0.5956 [2025-03-28 00:03:43,826 INFO hook.py line 689 1202667] clutter : 0.2648 0.4174 [2025-03-28 00:03:43,826 INFO hook.py line 690 1202667] ######################################## [2025-03-28 00:03:43,826 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3237/0.4227/0.7234. [2025-03-28 00:03:43,827 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 00:03:43,859 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.3237 [2025-03-28 00:03:43,860 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3237 [2025-03-28 00:03:43,860 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 00:04:13,397 INFO hook.py line 566 1202667] Train: [36/100][50/255] Data 0.002 (0.002) Batch 0.138 (0.379) Remain 01:44:18 loss: 1.5873 Lr: 2.31249e-03 [2025-03-28 00:04:37,322 INFO hook.py line 566 1202667] Train: [36/100][100/255] Data 0.002 (0.036) Batch 0.143 (0.430) Remain 01:58:07 loss: 1.5588 Lr: 2.30430e-03 [2025-03-28 00:05:01,955 INFO hook.py line 566 1202667] Train: [36/100][150/255] Data 0.003 (0.070) Batch 0.142 (0.451) Remain 02:03:34 loss: 1.6623 Lr: 2.29608e-03 [2025-03-28 00:05:24,037 INFO hook.py line 566 1202667] Train: [36/100][200/255] Data 0.002 (0.059) Batch 0.127 (0.449) Remain 02:02:31 loss: 1.8838 Lr: 2.28782e-03 [2025-03-28 00:05:43,123 INFO hook.py line 566 1202667] Train: [36/100][250/255] Data 0.001 (0.073) Batch 0.106 (0.435) Remain 01:58:26 loss: 1.6447 Lr: 2.27952e-03 [2025-03-28 00:05:43,700 INFO misc.py line 135 1202667] Train result: loss: 1.6782 [2025-03-28 00:05:43,735 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 00:05:57,062 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8061 [2025-03-28 00:05:58,802 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5207 [2025-03-28 00:05:59,100 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6777 [2025-03-28 00:05:59,786 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.4037 [2025-03-28 00:06:00,056 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6692 [2025-03-28 00:06:00,339 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9091 [2025-03-28 00:06:03,323 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7359 [2025-03-28 00:06:03,786 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0511 [2025-03-28 00:06:03,986 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2860 [2025-03-28 00:06:04,450 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5809 [2025-03-28 00:06:04,653 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6043 [2025-03-28 00:06:04,808 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4527 [2025-03-28 00:06:05,092 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1658 [2025-03-28 00:06:05,710 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7245 [2025-03-28 00:06:06,027 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7768 [2025-03-28 00:06:07,312 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8216 [2025-03-28 00:06:08,557 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6412 [2025-03-28 00:06:09,498 INFO hook.py line 674 1202667] ######################################## [2025-03-28 00:06:09,498 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 00:06:09,498 INFO hook.py line 680 1202667] ######################################## [2025-03-28 00:06:09,498 INFO hook.py line 689 1202667] ceiling : 0.7931 0.9277 [2025-03-28 00:06:09,498 INFO hook.py line 689 1202667] floor : 0.8578 0.9746 [2025-03-28 00:06:09,498 INFO hook.py line 689 1202667] wall : 0.6750 0.9412 [2025-03-28 00:06:09,498 INFO hook.py line 689 1202667] beam : 0.0007 0.0075 [2025-03-28 00:06:09,498 INFO hook.py line 689 1202667] column : 0.0037 0.0039 [2025-03-28 00:06:09,498 INFO hook.py line 689 1202667] window : 0.1473 0.1564 [2025-03-28 00:06:09,498 INFO hook.py line 689 1202667] door : 0.0997 0.1443 [2025-03-28 00:06:09,498 INFO hook.py line 689 1202667] table : 0.3390 0.4654 [2025-03-28 00:06:09,498 INFO hook.py line 689 1202667] chair : 0.4657 0.6393 [2025-03-28 00:06:09,498 INFO hook.py line 689 1202667] sofa : 0.0036 0.0037 [2025-03-28 00:06:09,498 INFO hook.py line 689 1202667] bookcase : 0.2041 0.2197 [2025-03-28 00:06:09,498 INFO hook.py line 689 1202667] board : 0.3496 0.5718 [2025-03-28 00:06:09,498 INFO hook.py line 689 1202667] clutter : 0.2634 0.4102 [2025-03-28 00:06:09,498 INFO hook.py line 690 1202667] ######################################## [2025-03-28 00:06:09,499 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3233/0.4204/0.7230. [2025-03-28 00:06:09,499 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 00:06:09,526 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3237 [2025-03-28 00:06:09,527 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 00:06:40,025 INFO hook.py line 566 1202667] Train: [37/100][50/255] Data 0.002 (0.027) Batch 0.143 (0.415) Remain 01:52:28 loss: 1.4762 Lr: 2.27036e-03 [2025-03-28 00:07:04,013 INFO hook.py line 566 1202667] Train: [37/100][100/255] Data 0.002 (0.114) Batch 0.132 (0.448) Remain 02:01:11 loss: 1.6714 Lr: 2.26200e-03 [2025-03-28 00:07:27,388 INFO hook.py line 566 1202667] Train: [37/100][150/255] Data 0.002 (0.092) Batch 0.151 (0.455) Remain 02:02:34 loss: 1.7383 Lr: 2.25361e-03 [2025-03-28 00:07:49,398 INFO hook.py line 566 1202667] Train: [37/100][200/255] Data 0.002 (0.110) Batch 0.140 (0.451) Remain 02:01:11 loss: 1.6240 Lr: 2.24518e-03 [2025-03-28 00:08:11,241 INFO hook.py line 566 1202667] Train: [37/100][250/255] Data 0.000 (0.094) Batch 0.118 (0.448) Remain 02:00:02 loss: 1.7359 Lr: 2.23673e-03 [2025-03-28 00:08:11,786 INFO misc.py line 135 1202667] Train result: loss: 1.6688 [2025-03-28 00:08:11,813 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 00:08:23,842 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8051 [2025-03-28 00:08:25,778 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5060 [2025-03-28 00:08:26,077 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6698 [2025-03-28 00:08:26,762 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3938 [2025-03-28 00:08:27,031 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6689 [2025-03-28 00:08:27,313 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9135 [2025-03-28 00:08:30,300 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7328 [2025-03-28 00:08:30,764 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0574 [2025-03-28 00:08:30,966 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2916 [2025-03-28 00:08:31,429 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5831 [2025-03-28 00:08:31,631 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6004 [2025-03-28 00:08:31,786 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4579 [2025-03-28 00:08:32,069 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1578 [2025-03-28 00:08:32,688 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7356 [2025-03-28 00:08:33,005 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7753 [2025-03-28 00:08:34,291 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8142 [2025-03-28 00:08:35,539 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6465 [2025-03-28 00:08:36,461 INFO hook.py line 674 1202667] ######################################## [2025-03-28 00:08:36,461 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 00:08:36,461 INFO hook.py line 680 1202667] ######################################## [2025-03-28 00:08:36,461 INFO hook.py line 689 1202667] ceiling : 0.7942 0.9296 [2025-03-28 00:08:36,461 INFO hook.py line 689 1202667] floor : 0.8610 0.9737 [2025-03-28 00:08:36,461 INFO hook.py line 689 1202667] wall : 0.6779 0.9381 [2025-03-28 00:08:36,461 INFO hook.py line 689 1202667] beam : 0.0006 0.0083 [2025-03-28 00:08:36,461 INFO hook.py line 689 1202667] column : 0.0046 0.0049 [2025-03-28 00:08:36,461 INFO hook.py line 689 1202667] window : 0.1386 0.1462 [2025-03-28 00:08:36,461 INFO hook.py line 689 1202667] door : 0.1018 0.1494 [2025-03-28 00:08:36,461 INFO hook.py line 689 1202667] table : 0.3445 0.4742 [2025-03-28 00:08:36,461 INFO hook.py line 689 1202667] chair : 0.4659 0.6444 [2025-03-28 00:08:36,461 INFO hook.py line 689 1202667] sofa : 0.0033 0.0033 [2025-03-28 00:08:36,461 INFO hook.py line 689 1202667] bookcase : 0.2074 0.2239 [2025-03-28 00:08:36,461 INFO hook.py line 689 1202667] board : 0.3517 0.5957 [2025-03-28 00:08:36,461 INFO hook.py line 689 1202667] clutter : 0.2633 0.4124 [2025-03-28 00:08:36,461 INFO hook.py line 690 1202667] ######################################## [2025-03-28 00:08:36,461 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3242/0.4234/0.7235. [2025-03-28 00:08:36,462 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 00:08:36,490 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.3242 [2025-03-28 00:08:36,491 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3242 [2025-03-28 00:08:36,491 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 00:09:08,572 INFO hook.py line 566 1202667] Train: [38/100][50/255] Data 0.002 (0.157) Batch 0.152 (0.495) Remain 02:12:09 loss: 1.7214 Lr: 2.22739e-03 [2025-03-28 00:09:33,748 INFO hook.py line 566 1202667] Train: [38/100][100/255] Data 0.001 (0.230) Batch 0.135 (0.499) Remain 02:12:53 loss: 1.7663 Lr: 2.21887e-03 [2025-03-28 00:09:58,742 INFO hook.py line 566 1202667] Train: [38/100][150/255] Data 0.002 (0.190) Batch 0.124 (0.500) Remain 02:12:31 loss: 1.6123 Lr: 2.21032e-03 [2025-03-28 00:10:19,725 INFO hook.py line 566 1202667] Train: [38/100][200/255] Data 0.002 (0.158) Batch 0.129 (0.479) Remain 02:06:44 loss: 1.5463 Lr: 2.20174e-03 [2025-03-28 00:10:39,582 INFO hook.py line 566 1202667] Train: [38/100][250/255] Data 0.000 (0.141) Batch 0.120 (0.463) Remain 02:01:57 loss: 1.7217 Lr: 2.19313e-03 [2025-03-28 00:10:40,168 INFO misc.py line 135 1202667] Train result: loss: 1.6733 [2025-03-28 00:10:40,199 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 00:10:52,723 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.7981 [2025-03-28 00:10:54,464 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5134 [2025-03-28 00:10:54,763 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6640 [2025-03-28 00:10:55,446 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3939 [2025-03-28 00:10:55,716 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6587 [2025-03-28 00:10:55,998 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9136 [2025-03-28 00:10:58,980 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7250 [2025-03-28 00:10:59,444 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0515 [2025-03-28 00:10:59,645 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2874 [2025-03-28 00:11:00,108 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5799 [2025-03-28 00:11:00,311 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6003 [2025-03-28 00:11:00,465 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4577 [2025-03-28 00:11:00,749 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1542 [2025-03-28 00:11:01,368 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7233 [2025-03-28 00:11:01,685 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7654 [2025-03-28 00:11:02,969 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8150 [2025-03-28 00:11:04,212 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6429 [2025-03-28 00:11:05,159 INFO hook.py line 674 1202667] ######################################## [2025-03-28 00:11:05,159 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 00:11:05,159 INFO hook.py line 680 1202667] ######################################## [2025-03-28 00:11:05,159 INFO hook.py line 689 1202667] ceiling : 0.7934 0.9285 [2025-03-28 00:11:05,160 INFO hook.py line 689 1202667] floor : 0.8562 0.9748 [2025-03-28 00:11:05,160 INFO hook.py line 689 1202667] wall : 0.6753 0.9415 [2025-03-28 00:11:05,160 INFO hook.py line 689 1202667] beam : 0.0006 0.0063 [2025-03-28 00:11:05,160 INFO hook.py line 689 1202667] column : 0.0041 0.0043 [2025-03-28 00:11:05,160 INFO hook.py line 689 1202667] window : 0.1456 0.1544 [2025-03-28 00:11:05,160 INFO hook.py line 689 1202667] door : 0.0999 0.1442 [2025-03-28 00:11:05,160 INFO hook.py line 689 1202667] table : 0.3358 0.4562 [2025-03-28 00:11:05,160 INFO hook.py line 689 1202667] chair : 0.4652 0.6379 [2025-03-28 00:11:05,160 INFO hook.py line 689 1202667] sofa : 0.0033 0.0034 [2025-03-28 00:11:05,160 INFO hook.py line 689 1202667] bookcase : 0.2166 0.2354 [2025-03-28 00:11:05,161 INFO hook.py line 689 1202667] board : 0.3490 0.5850 [2025-03-28 00:11:05,161 INFO hook.py line 689 1202667] clutter : 0.2622 0.4017 [2025-03-28 00:11:05,161 INFO hook.py line 690 1202667] ######################################## [2025-03-28 00:11:05,161 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3236/0.4210/0.7239. [2025-03-28 00:11:05,162 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 00:11:05,190 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3242 [2025-03-28 00:11:05,190 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 00:11:37,701 INFO hook.py line 566 1202667] Train: [39/100][50/255] Data 0.001 (0.119) Batch 0.121 (0.531) Remain 02:19:22 loss: 1.5148 Lr: 2.18362e-03 [2025-03-28 00:12:00,255 INFO hook.py line 566 1202667] Train: [39/100][100/255] Data 0.002 (0.179) Batch 0.140 (0.490) Remain 02:08:11 loss: 1.7989 Lr: 2.17495e-03 [2025-03-28 00:12:18,966 INFO hook.py line 566 1202667] Train: [39/100][150/255] Data 0.002 (0.118) Batch 0.166 (0.450) Remain 01:57:32 loss: 1.5667 Lr: 2.16625e-03 [2025-03-28 00:12:47,208 INFO hook.py line 566 1202667] Train: [39/100][200/255] Data 0.002 (0.113) Batch 0.131 (0.479) Remain 02:04:43 loss: 1.7460 Lr: 2.15752e-03 [2025-03-28 00:13:06,825 INFO hook.py line 566 1202667] Train: [39/100][250/255] Data 0.001 (0.091) Batch 0.117 (0.462) Remain 01:59:45 loss: 1.5545 Lr: 2.14877e-03 [2025-03-28 00:13:07,403 INFO misc.py line 135 1202667] Train result: loss: 1.6753 [2025-03-28 00:13:07,435 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 00:13:20,868 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8060 [2025-03-28 00:13:22,610 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5138 [2025-03-28 00:13:22,908 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6673 [2025-03-28 00:13:23,591 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3942 [2025-03-28 00:13:23,860 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6648 [2025-03-28 00:13:24,142 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9120 [2025-03-28 00:13:27,122 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7328 [2025-03-28 00:13:27,585 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0668 [2025-03-28 00:13:27,786 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2896 [2025-03-28 00:13:28,250 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5728 [2025-03-28 00:13:28,453 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5991 [2025-03-28 00:13:28,607 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4588 [2025-03-28 00:13:28,889 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1620 [2025-03-28 00:13:29,509 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7348 [2025-03-28 00:13:29,827 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7714 [2025-03-28 00:13:31,111 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8110 [2025-03-28 00:13:32,352 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6512 [2025-03-28 00:13:33,334 INFO hook.py line 674 1202667] ######################################## [2025-03-28 00:13:33,334 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 00:13:33,334 INFO hook.py line 680 1202667] ######################################## [2025-03-28 00:13:33,335 INFO hook.py line 689 1202667] ceiling : 0.7941 0.9282 [2025-03-28 00:13:33,335 INFO hook.py line 689 1202667] floor : 0.8593 0.9742 [2025-03-28 00:13:33,335 INFO hook.py line 689 1202667] wall : 0.6782 0.9367 [2025-03-28 00:13:33,335 INFO hook.py line 689 1202667] beam : 0.0008 0.0100 [2025-03-28 00:13:33,335 INFO hook.py line 689 1202667] column : 0.0052 0.0055 [2025-03-28 00:13:33,335 INFO hook.py line 689 1202667] window : 0.1427 0.1510 [2025-03-28 00:13:33,335 INFO hook.py line 689 1202667] door : 0.1017 0.1500 [2025-03-28 00:13:33,335 INFO hook.py line 689 1202667] table : 0.3434 0.4748 [2025-03-28 00:13:33,335 INFO hook.py line 689 1202667] chair : 0.4662 0.6333 [2025-03-28 00:13:33,336 INFO hook.py line 689 1202667] sofa : 0.0030 0.0031 [2025-03-28 00:13:33,336 INFO hook.py line 689 1202667] bookcase : 0.2015 0.2164 [2025-03-28 00:13:33,336 INFO hook.py line 689 1202667] board : 0.3494 0.6053 [2025-03-28 00:13:33,336 INFO hook.py line 689 1202667] clutter : 0.2647 0.4184 [2025-03-28 00:13:33,336 INFO hook.py line 690 1202667] ######################################## [2025-03-28 00:13:33,336 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3239/0.4236/0.7228. [2025-03-28 00:13:33,337 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 00:13:33,365 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3242 [2025-03-28 00:13:33,365 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 00:14:04,963 INFO hook.py line 566 1202667] Train: [40/100][50/255] Data 0.003 (0.045) Batch 0.144 (0.437) Remain 01:52:49 loss: 1.7611 Lr: 2.13911e-03 [2025-03-28 00:14:26,438 INFO hook.py line 566 1202667] Train: [40/100][100/255] Data 0.002 (0.031) Batch 0.130 (0.433) Remain 01:51:31 loss: 1.6698 Lr: 2.13030e-03 [2025-03-28 00:14:49,178 INFO hook.py line 566 1202667] Train: [40/100][150/255] Data 0.002 (0.029) Batch 0.240 (0.440) Remain 01:53:04 loss: 1.7397 Lr: 2.12146e-03 [2025-03-28 00:15:10,705 INFO hook.py line 566 1202667] Train: [40/100][200/255] Data 0.002 (0.082) Batch 0.142 (0.438) Remain 01:52:03 loss: 1.6505 Lr: 2.11259e-03 [2025-03-28 00:15:32,080 INFO hook.py line 566 1202667] Train: [40/100][250/255] Data 0.001 (0.075) Batch 0.120 (0.436) Remain 01:51:09 loss: 1.5181 Lr: 2.10370e-03 [2025-03-28 00:15:33,106 INFO misc.py line 135 1202667] Train result: loss: 1.6760 [2025-03-28 00:15:33,157 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 00:15:46,500 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8122 [2025-03-28 00:15:48,240 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5147 [2025-03-28 00:15:48,538 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6849 [2025-03-28 00:15:49,224 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3926 [2025-03-28 00:15:49,492 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6675 [2025-03-28 00:15:49,774 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9114 [2025-03-28 00:15:52,756 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7389 [2025-03-28 00:15:53,219 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0631 [2025-03-28 00:15:53,420 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2957 [2025-03-28 00:15:53,883 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5671 [2025-03-28 00:15:54,085 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6069 [2025-03-28 00:15:54,240 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4616 [2025-03-28 00:15:54,524 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1796 [2025-03-28 00:15:55,145 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7357 [2025-03-28 00:15:55,461 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7780 [2025-03-28 00:15:56,743 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8166 [2025-03-28 00:15:57,987 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6473 [2025-03-28 00:15:59,025 INFO hook.py line 674 1202667] ######################################## [2025-03-28 00:15:59,026 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 00:15:59,026 INFO hook.py line 680 1202667] ######################################## [2025-03-28 00:15:59,026 INFO hook.py line 689 1202667] ceiling : 0.7944 0.9277 [2025-03-28 00:15:59,026 INFO hook.py line 689 1202667] floor : 0.8596 0.9744 [2025-03-28 00:15:59,026 INFO hook.py line 689 1202667] wall : 0.6790 0.9366 [2025-03-28 00:15:59,026 INFO hook.py line 689 1202667] beam : 0.0006 0.0074 [2025-03-28 00:15:59,026 INFO hook.py line 689 1202667] column : 0.0048 0.0051 [2025-03-28 00:15:59,026 INFO hook.py line 689 1202667] window : 0.1487 0.1579 [2025-03-28 00:15:59,027 INFO hook.py line 689 1202667] door : 0.1033 0.1534 [2025-03-28 00:15:59,027 INFO hook.py line 689 1202667] table : 0.3457 0.4812 [2025-03-28 00:15:59,027 INFO hook.py line 689 1202667] chair : 0.4648 0.6538 [2025-03-28 00:15:59,027 INFO hook.py line 689 1202667] sofa : 0.0035 0.0036 [2025-03-28 00:15:59,027 INFO hook.py line 689 1202667] bookcase : 0.1992 0.2135 [2025-03-28 00:15:59,027 INFO hook.py line 689 1202667] board : 0.3525 0.6149 [2025-03-28 00:15:59,027 INFO hook.py line 689 1202667] clutter : 0.2625 0.4123 [2025-03-28 00:15:59,027 INFO hook.py line 690 1202667] ######################################## [2025-03-28 00:15:59,027 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3245/0.4263/0.7229. [2025-03-28 00:15:59,028 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 00:15:59,060 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.3245 [2025-03-28 00:15:59,060 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3245 [2025-03-28 00:15:59,060 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 00:16:30,437 INFO hook.py line 566 1202667] Train: [41/100][50/255] Data 0.002 (0.104) Batch 0.128 (0.517) Remain 02:11:18 loss: 1.8713 Lr: 2.09389e-03 [2025-03-28 00:16:52,256 INFO hook.py line 566 1202667] Train: [41/100][100/255] Data 0.002 (0.051) Batch 0.127 (0.475) Remain 02:00:23 loss: 1.6264 Lr: 2.08513e-03 [2025-03-28 00:17:14,880 INFO hook.py line 566 1202667] Train: [41/100][150/255] Data 0.003 (0.089) Batch 0.143 (0.468) Remain 01:58:02 loss: 1.7627 Lr: 2.07616e-03 [2025-03-28 00:17:39,119 INFO hook.py line 566 1202667] Train: [41/100][200/255] Data 1.566 (0.079) Batch 1.697 (0.472) Remain 01:58:45 loss: 1.6400 Lr: 2.06717e-03 [2025-03-28 00:17:59,140 INFO hook.py line 566 1202667] Train: [41/100][250/255] Data 0.373 (0.101) Batch 0.481 (0.457) Remain 01:54:44 loss: 1.8032 Lr: 2.05815e-03 [2025-03-28 00:17:59,741 INFO misc.py line 135 1202667] Train result: loss: 1.6748 [2025-03-28 00:17:59,773 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 00:18:13,767 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.7865 [2025-03-28 00:18:15,508 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.4976 [2025-03-28 00:18:15,806 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6572 [2025-03-28 00:18:16,490 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3889 [2025-03-28 00:18:16,759 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6556 [2025-03-28 00:18:17,041 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9054 [2025-03-28 00:18:20,026 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7128 [2025-03-28 00:18:20,489 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0509 [2025-03-28 00:18:20,690 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2758 [2025-03-28 00:18:21,153 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5698 [2025-03-28 00:18:21,356 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5932 [2025-03-28 00:18:21,510 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4608 [2025-03-28 00:18:21,793 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1563 [2025-03-28 00:18:22,412 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7175 [2025-03-28 00:18:22,730 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7502 [2025-03-28 00:18:24,014 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8114 [2025-03-28 00:18:25,258 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6390 [2025-03-28 00:18:26,284 INFO hook.py line 674 1202667] ######################################## [2025-03-28 00:18:26,284 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 00:18:26,284 INFO hook.py line 680 1202667] ######################################## [2025-03-28 00:18:26,285 INFO hook.py line 689 1202667] ceiling : 0.7946 0.9285 [2025-03-28 00:18:26,285 INFO hook.py line 689 1202667] floor : 0.8586 0.9744 [2025-03-28 00:18:26,285 INFO hook.py line 689 1202667] wall : 0.6775 0.9393 [2025-03-28 00:18:26,285 INFO hook.py line 689 1202667] beam : 0.0005 0.0055 [2025-03-28 00:18:26,285 INFO hook.py line 689 1202667] column : 0.0045 0.0047 [2025-03-28 00:18:26,285 INFO hook.py line 689 1202667] window : 0.1483 0.1571 [2025-03-28 00:18:26,285 INFO hook.py line 689 1202667] door : 0.1032 0.1514 [2025-03-28 00:18:26,285 INFO hook.py line 689 1202667] table : 0.3413 0.4649 [2025-03-28 00:18:26,285 INFO hook.py line 689 1202667] chair : 0.4656 0.6483 [2025-03-28 00:18:26,285 INFO hook.py line 689 1202667] sofa : 0.0024 0.0025 [2025-03-28 00:18:26,285 INFO hook.py line 689 1202667] bookcase : 0.2181 0.2372 [2025-03-28 00:18:26,285 INFO hook.py line 689 1202667] board : 0.3517 0.5706 [2025-03-28 00:18:26,285 INFO hook.py line 689 1202667] clutter : 0.2631 0.4081 [2025-03-28 00:18:26,285 INFO hook.py line 690 1202667] ######################################## [2025-03-28 00:18:26,285 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3253/0.4225/0.7246. [2025-03-28 00:18:26,285 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 00:18:26,313 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.3253 [2025-03-28 00:18:26,313 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3253 [2025-03-28 00:18:26,313 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 00:19:00,843 INFO hook.py line 566 1202667] Train: [42/100][50/255] Data 0.001 (0.190) Batch 0.129 (0.513) Remain 02:08:14 loss: 1.6817 Lr: 2.04821e-03 [2025-03-28 00:19:21,980 INFO hook.py line 566 1202667] Train: [42/100][100/255] Data 0.002 (0.120) Batch 0.151 (0.467) Remain 01:56:12 loss: 1.7486 Lr: 2.03915e-03 [2025-03-28 00:19:47,238 INFO hook.py line 566 1202667] Train: [42/100][150/255] Data 0.002 (0.082) Batch 3.207 (0.480) Remain 01:59:04 loss: 1.9478 Lr: 2.03006e-03 [2025-03-28 00:20:05,825 INFO hook.py line 566 1202667] Train: [42/100][200/255] Data 0.002 (0.104) Batch 0.133 (0.452) Remain 01:51:54 loss: 1.7596 Lr: 2.02095e-03 [2025-03-28 00:20:27,807 INFO hook.py line 566 1202667] Train: [42/100][250/255] Data 0.001 (0.131) Batch 0.122 (0.450) Remain 01:50:53 loss: 1.6552 Lr: 2.01182e-03 [2025-03-28 00:20:29,382 INFO misc.py line 135 1202667] Train result: loss: 1.6672 [2025-03-28 00:20:29,416 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 00:20:42,827 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8181 [2025-03-28 00:20:44,567 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5309 [2025-03-28 00:20:44,867 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6944 [2025-03-28 00:20:45,552 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.4081 [2025-03-28 00:20:45,822 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6835 [2025-03-28 00:20:46,104 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9064 [2025-03-28 00:20:49,090 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7531 [2025-03-28 00:20:49,554 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0486 [2025-03-28 00:20:49,756 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2974 [2025-03-28 00:20:50,219 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5924 [2025-03-28 00:20:50,423 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6200 [2025-03-28 00:20:50,576 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4601 [2025-03-28 00:20:50,860 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1696 [2025-03-28 00:20:51,482 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7420 [2025-03-28 00:20:51,799 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7936 [2025-03-28 00:20:53,083 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8278 [2025-03-28 00:20:54,330 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6371 [2025-03-28 00:20:55,371 INFO hook.py line 674 1202667] ######################################## [2025-03-28 00:20:55,371 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 00:20:55,371 INFO hook.py line 680 1202667] ######################################## [2025-03-28 00:20:55,372 INFO hook.py line 689 1202667] ceiling : 0.7942 0.9272 [2025-03-28 00:20:55,372 INFO hook.py line 689 1202667] floor : 0.8545 0.9751 [2025-03-28 00:20:55,372 INFO hook.py line 689 1202667] wall : 0.6742 0.9418 [2025-03-28 00:20:55,372 INFO hook.py line 689 1202667] beam : 0.0007 0.0091 [2025-03-28 00:20:55,372 INFO hook.py line 689 1202667] column : 0.0035 0.0036 [2025-03-28 00:20:55,372 INFO hook.py line 689 1202667] window : 0.1390 0.1464 [2025-03-28 00:20:55,372 INFO hook.py line 689 1202667] door : 0.1005 0.1485 [2025-03-28 00:20:55,372 INFO hook.py line 689 1202667] table : 0.3334 0.4560 [2025-03-28 00:20:55,372 INFO hook.py line 689 1202667] chair : 0.4638 0.6369 [2025-03-28 00:20:55,372 INFO hook.py line 689 1202667] sofa : 0.0033 0.0034 [2025-03-28 00:20:55,373 INFO hook.py line 689 1202667] bookcase : 0.1922 0.2048 [2025-03-28 00:20:55,373 INFO hook.py line 689 1202667] board : 0.3484 0.5926 [2025-03-28 00:20:55,373 INFO hook.py line 689 1202667] clutter : 0.2625 0.4092 [2025-03-28 00:20:55,373 INFO hook.py line 690 1202667] ######################################## [2025-03-28 00:20:55,373 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3208/0.4196/0.7212. [2025-03-28 00:20:55,374 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 00:20:55,403 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3253 [2025-03-28 00:20:55,404 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 00:21:26,174 INFO hook.py line 566 1202667] Train: [43/100][50/255] Data 0.002 (0.084) Batch 0.136 (0.491) Remain 02:00:30 loss: 1.5843 Lr: 2.00175e-03 [2025-03-28 00:21:51,574 INFO hook.py line 566 1202667] Train: [43/100][100/255] Data 0.002 (0.223) Batch 0.139 (0.500) Remain 02:02:18 loss: 1.6828 Lr: 1.99257e-03 [2025-03-28 00:22:15,112 INFO hook.py line 566 1202667] Train: [43/100][150/255] Data 0.003 (0.169) Batch 0.129 (0.490) Remain 01:59:29 loss: 1.6772 Lr: 1.98338e-03 [2025-03-28 00:22:36,494 INFO hook.py line 566 1202667] Train: [43/100][200/255] Data 0.003 (0.139) Batch 0.546 (0.474) Remain 01:55:15 loss: 1.6029 Lr: 1.97416e-03 [2025-03-28 00:22:57,600 INFO hook.py line 566 1202667] Train: [43/100][250/255] Data 0.001 (0.132) Batch 0.123 (0.463) Remain 01:52:19 loss: 1.6540 Lr: 1.96492e-03 [2025-03-28 00:22:58,175 INFO misc.py line 135 1202667] Train result: loss: 1.6740 [2025-03-28 00:22:58,204 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 00:23:09,874 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8113 [2025-03-28 00:23:12,803 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5226 [2025-03-28 00:23:13,102 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6690 [2025-03-28 00:23:13,787 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3989 [2025-03-28 00:23:14,056 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6738 [2025-03-28 00:23:14,338 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9045 [2025-03-28 00:23:17,321 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7415 [2025-03-28 00:23:17,785 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0474 [2025-03-28 00:23:17,986 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2984 [2025-03-28 00:23:18,449 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5883 [2025-03-28 00:23:18,653 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6062 [2025-03-28 00:23:18,807 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4493 [2025-03-28 00:23:19,090 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1634 [2025-03-28 00:23:19,707 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7293 [2025-03-28 00:23:20,023 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7793 [2025-03-28 00:23:21,307 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8168 [2025-03-28 00:23:22,553 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6417 [2025-03-28 00:23:23,650 INFO hook.py line 674 1202667] ######################################## [2025-03-28 00:23:23,651 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 00:23:23,651 INFO hook.py line 680 1202667] ######################################## [2025-03-28 00:23:23,651 INFO hook.py line 689 1202667] ceiling : 0.7944 0.9279 [2025-03-28 00:23:23,651 INFO hook.py line 689 1202667] floor : 0.8557 0.9750 [2025-03-28 00:23:23,652 INFO hook.py line 689 1202667] wall : 0.6769 0.9392 [2025-03-28 00:23:23,652 INFO hook.py line 689 1202667] beam : 0.0006 0.0070 [2025-03-28 00:23:23,652 INFO hook.py line 689 1202667] column : 0.0038 0.0040 [2025-03-28 00:23:23,652 INFO hook.py line 689 1202667] window : 0.1437 0.1515 [2025-03-28 00:23:23,652 INFO hook.py line 689 1202667] door : 0.1017 0.1502 [2025-03-28 00:23:23,652 INFO hook.py line 689 1202667] table : 0.3362 0.4572 [2025-03-28 00:23:23,652 INFO hook.py line 689 1202667] chair : 0.4645 0.6256 [2025-03-28 00:23:23,652 INFO hook.py line 689 1202667] sofa : 0.0049 0.0050 [2025-03-28 00:23:23,652 INFO hook.py line 689 1202667] bookcase : 0.1991 0.2133 [2025-03-28 00:23:23,652 INFO hook.py line 689 1202667] board : 0.3548 0.5821 [2025-03-28 00:23:23,652 INFO hook.py line 689 1202667] clutter : 0.2654 0.4218 [2025-03-28 00:23:23,652 INFO hook.py line 690 1202667] ######################################## [2025-03-28 00:23:23,652 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3232/0.4200/0.7225. [2025-03-28 00:23:23,653 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 00:23:23,685 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3253 [2025-03-28 00:23:23,686 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 00:23:51,750 INFO hook.py line 566 1202667] Train: [44/100][50/255] Data 0.002 (0.044) Batch 0.130 (0.470) Remain 01:53:27 loss: 1.3458 Lr: 1.95474e-03 [2025-03-28 00:24:15,894 INFO hook.py line 566 1202667] Train: [44/100][100/255] Data 0.002 (0.049) Batch 0.145 (0.477) Remain 01:54:40 loss: 1.7486 Lr: 1.94546e-03 [2025-03-28 00:24:39,552 INFO hook.py line 566 1202667] Train: [44/100][150/255] Data 0.001 (0.048) Batch 0.134 (0.475) Remain 01:53:59 loss: 1.8133 Lr: 1.93617e-03 [2025-03-28 00:25:00,995 INFO hook.py line 566 1202667] Train: [44/100][200/255] Data 0.002 (0.062) Batch 0.149 (0.464) Remain 01:50:46 loss: 1.7364 Lr: 1.92685e-03 [2025-03-28 00:25:24,878 INFO hook.py line 566 1202667] Train: [44/100][250/255] Data 0.000 (0.050) Batch 2.147 (0.466) Remain 01:51:03 loss: 1.5325 Lr: 1.91752e-03 [2025-03-28 00:25:25,466 INFO misc.py line 135 1202667] Train result: loss: 1.6718 [2025-03-28 00:25:25,499 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 00:25:39,162 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8084 [2025-03-28 00:25:40,903 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5179 [2025-03-28 00:25:41,200 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6769 [2025-03-28 00:25:41,886 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3962 [2025-03-28 00:25:42,155 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6625 [2025-03-28 00:25:42,438 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9040 [2025-03-28 00:25:45,421 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7378 [2025-03-28 00:25:45,885 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0517 [2025-03-28 00:25:46,086 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2929 [2025-03-28 00:25:46,548 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5722 [2025-03-28 00:25:46,750 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6001 [2025-03-28 00:25:46,904 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4541 [2025-03-28 00:25:47,193 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1710 [2025-03-28 00:25:47,810 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7327 [2025-03-28 00:25:48,127 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7760 [2025-03-28 00:25:49,412 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8203 [2025-03-28 00:25:50,656 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6376 [2025-03-28 00:25:51,689 INFO hook.py line 674 1202667] ######################################## [2025-03-28 00:25:51,689 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 00:25:51,689 INFO hook.py line 680 1202667] ######################################## [2025-03-28 00:25:51,689 INFO hook.py line 689 1202667] ceiling : 0.7944 0.9278 [2025-03-28 00:25:51,690 INFO hook.py line 689 1202667] floor : 0.8552 0.9755 [2025-03-28 00:25:51,690 INFO hook.py line 689 1202667] wall : 0.6773 0.9396 [2025-03-28 00:25:51,690 INFO hook.py line 689 1202667] beam : 0.0005 0.0057 [2025-03-28 00:25:51,690 INFO hook.py line 689 1202667] column : 0.0045 0.0048 [2025-03-28 00:25:51,690 INFO hook.py line 689 1202667] window : 0.1503 0.1596 [2025-03-28 00:25:51,690 INFO hook.py line 689 1202667] door : 0.1044 0.1575 [2025-03-28 00:25:51,690 INFO hook.py line 689 1202667] table : 0.3360 0.4599 [2025-03-28 00:25:51,690 INFO hook.py line 689 1202667] chair : 0.4646 0.6353 [2025-03-28 00:25:51,690 INFO hook.py line 689 1202667] sofa : 0.0031 0.0032 [2025-03-28 00:25:51,690 INFO hook.py line 689 1202667] bookcase : 0.2004 0.2147 [2025-03-28 00:25:51,690 INFO hook.py line 689 1202667] board : 0.3544 0.5872 [2025-03-28 00:25:51,690 INFO hook.py line 689 1202667] clutter : 0.2633 0.4110 [2025-03-28 00:25:51,690 INFO hook.py line 690 1202667] ######################################## [2025-03-28 00:25:51,690 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3237/0.4217/0.7227. [2025-03-28 00:25:51,691 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 00:25:51,721 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3253 [2025-03-28 00:25:51,721 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 00:26:22,950 INFO hook.py line 566 1202667] Train: [45/100][50/255] Data 3.621 (0.250) Batch 3.745 (0.474) Remain 01:52:17 loss: 1.6257 Lr: 1.90723e-03 [2025-03-28 00:26:44,996 INFO hook.py line 566 1202667] Train: [45/100][100/255] Data 0.002 (0.193) Batch 3.266 (0.457) Remain 01:47:56 loss: 1.6081 Lr: 1.89787e-03 [2025-03-28 00:27:08,155 INFO hook.py line 566 1202667] Train: [45/100][150/255] Data 0.002 (0.158) Batch 4.982 (0.459) Remain 01:48:04 loss: 1.7232 Lr: 1.88848e-03 [2025-03-28 00:27:28,732 INFO hook.py line 566 1202667] Train: [45/100][200/255] Data 0.002 (0.136) Batch 0.151 (0.447) Remain 01:44:52 loss: 1.4617 Lr: 1.87908e-03 [2025-03-28 00:27:49,391 INFO hook.py line 566 1202667] Train: [45/100][250/255] Data 0.001 (0.111) Batch 0.100 (0.440) Remain 01:42:54 loss: 1.7625 Lr: 1.86966e-03 [2025-03-28 00:27:52,581 INFO misc.py line 135 1202667] Train result: loss: 1.6622 [2025-03-28 00:27:52,612 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 00:28:04,973 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8000 [2025-03-28 00:28:07,338 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5088 [2025-03-28 00:28:07,636 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6610 [2025-03-28 00:28:08,322 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3903 [2025-03-28 00:28:08,590 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6611 [2025-03-28 00:28:08,874 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9092 [2025-03-28 00:28:11,857 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7279 [2025-03-28 00:28:12,321 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0515 [2025-03-28 00:28:12,522 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2915 [2025-03-28 00:28:12,983 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5762 [2025-03-28 00:28:13,186 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5948 [2025-03-28 00:28:13,340 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4646 [2025-03-28 00:28:13,624 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1614 [2025-03-28 00:28:14,240 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7264 [2025-03-28 00:28:14,560 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7655 [2025-03-28 00:28:15,843 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8125 [2025-03-28 00:28:17,087 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6455 [2025-03-28 00:28:18,139 INFO hook.py line 674 1202667] ######################################## [2025-03-28 00:28:18,139 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 00:28:18,139 INFO hook.py line 680 1202667] ######################################## [2025-03-28 00:28:18,139 INFO hook.py line 689 1202667] ceiling : 0.7947 0.9273 [2025-03-28 00:28:18,139 INFO hook.py line 689 1202667] floor : 0.8565 0.9748 [2025-03-28 00:28:18,139 INFO hook.py line 689 1202667] wall : 0.6776 0.9386 [2025-03-28 00:28:18,139 INFO hook.py line 689 1202667] beam : 0.0006 0.0077 [2025-03-28 00:28:18,139 INFO hook.py line 689 1202667] column : 0.0043 0.0046 [2025-03-28 00:28:18,139 INFO hook.py line 689 1202667] window : 0.1387 0.1461 [2025-03-28 00:28:18,139 INFO hook.py line 689 1202667] door : 0.1036 0.1531 [2025-03-28 00:28:18,139 INFO hook.py line 689 1202667] table : 0.3387 0.4668 [2025-03-28 00:28:18,139 INFO hook.py line 689 1202667] chair : 0.4637 0.6461 [2025-03-28 00:28:18,139 INFO hook.py line 689 1202667] sofa : 0.0025 0.0026 [2025-03-28 00:28:18,139 INFO hook.py line 689 1202667] bookcase : 0.2155 0.2338 [2025-03-28 00:28:18,139 INFO hook.py line 689 1202667] board : 0.3497 0.5986 [2025-03-28 00:28:18,139 INFO hook.py line 689 1202667] clutter : 0.2614 0.4041 [2025-03-28 00:28:18,139 INFO hook.py line 690 1202667] ######################################## [2025-03-28 00:28:18,139 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3237/0.4234/0.7236. [2025-03-28 00:28:18,140 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 00:28:18,166 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3253 [2025-03-28 00:28:18,166 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 00:28:48,195 INFO hook.py line 566 1202667] Train: [46/100][50/255] Data 0.002 (0.078) Batch 0.150 (0.480) Remain 01:51:45 loss: 1.5526 Lr: 1.85928e-03 [2025-03-28 00:29:11,581 INFO hook.py line 566 1202667] Train: [46/100][100/255] Data 0.001 (0.092) Batch 0.146 (0.474) Remain 01:49:54 loss: 1.6189 Lr: 1.84983e-03 [2025-03-28 00:29:38,032 INFO hook.py line 566 1202667] Train: [46/100][150/255] Data 0.001 (0.095) Batch 0.128 (0.492) Remain 01:53:52 loss: 1.8029 Lr: 1.84037e-03 [2025-03-28 00:30:03,952 INFO hook.py line 566 1202667] Train: [46/100][200/255] Data 0.002 (0.072) Batch 0.151 (0.499) Remain 01:54:59 loss: 1.5674 Lr: 1.83089e-03 [2025-03-28 00:30:24,031 INFO hook.py line 566 1202667] Train: [46/100][250/255] Data 0.001 (0.057) Batch 0.120 (0.479) Remain 01:50:02 loss: 1.7407 Lr: 1.82140e-03 [2025-03-28 00:30:24,603 INFO misc.py line 135 1202667] Train result: loss: 1.6757 [2025-03-28 00:30:24,636 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 00:30:36,162 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8043 [2025-03-28 00:30:38,285 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5167 [2025-03-28 00:30:38,582 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6752 [2025-03-28 00:30:39,270 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3987 [2025-03-28 00:30:39,540 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6632 [2025-03-28 00:30:39,822 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9038 [2025-03-28 00:30:42,802 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7297 [2025-03-28 00:30:43,267 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0371 [2025-03-28 00:30:43,468 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2875 [2025-03-28 00:30:43,931 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5777 [2025-03-28 00:30:44,133 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6078 [2025-03-28 00:30:44,286 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4605 [2025-03-28 00:30:44,570 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1564 [2025-03-28 00:30:45,188 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7245 [2025-03-28 00:30:45,505 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7699 [2025-03-28 00:30:46,790 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8219 [2025-03-28 00:30:48,032 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6329 [2025-03-28 00:30:49,056 INFO hook.py line 674 1202667] ######################################## [2025-03-28 00:30:49,056 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 00:30:49,056 INFO hook.py line 680 1202667] ######################################## [2025-03-28 00:30:49,056 INFO hook.py line 689 1202667] ceiling : 0.7949 0.9275 [2025-03-28 00:30:49,056 INFO hook.py line 689 1202667] floor : 0.8575 0.9749 [2025-03-28 00:30:49,056 INFO hook.py line 689 1202667] wall : 0.6738 0.9430 [2025-03-28 00:30:49,056 INFO hook.py line 689 1202667] beam : 0.0006 0.0073 [2025-03-28 00:30:49,056 INFO hook.py line 689 1202667] column : 0.0033 0.0034 [2025-03-28 00:30:49,056 INFO hook.py line 689 1202667] window : 0.1426 0.1506 [2025-03-28 00:30:49,056 INFO hook.py line 689 1202667] door : 0.1009 0.1479 [2025-03-28 00:30:49,056 INFO hook.py line 689 1202667] table : 0.3372 0.4609 [2025-03-28 00:30:49,056 INFO hook.py line 689 1202667] chair : 0.4664 0.6416 [2025-03-28 00:30:49,056 INFO hook.py line 689 1202667] sofa : 0.0044 0.0046 [2025-03-28 00:30:49,056 INFO hook.py line 689 1202667] bookcase : 0.2067 0.2225 [2025-03-28 00:30:49,056 INFO hook.py line 689 1202667] board : 0.3512 0.5750 [2025-03-28 00:30:49,056 INFO hook.py line 689 1202667] clutter : 0.2626 0.4048 [2025-03-28 00:30:49,056 INFO hook.py line 690 1202667] ######################################## [2025-03-28 00:30:49,056 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3232/0.4203/0.7232. [2025-03-28 00:30:49,057 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 00:30:49,082 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3253 [2025-03-28 00:30:49,083 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 00:31:18,267 INFO hook.py line 566 1202667] Train: [47/100][50/255] Data 0.001 (0.002) Batch 0.135 (0.498) Remain 01:53:53 loss: 1.5675 Lr: 1.81094e-03 [2025-03-28 00:31:44,216 INFO hook.py line 566 1202667] Train: [47/100][100/255] Data 0.002 (0.002) Batch 0.138 (0.509) Remain 01:55:55 loss: 1.6351 Lr: 1.80142e-03 [2025-03-28 00:32:08,195 INFO hook.py line 566 1202667] Train: [47/100][150/255] Data 0.001 (0.028) Batch 0.140 (0.499) Remain 01:53:14 loss: 1.6041 Lr: 1.79189e-03 [2025-03-28 00:32:28,103 INFO hook.py line 566 1202667] Train: [47/100][200/255] Data 0.002 (0.064) Batch 0.138 (0.473) Remain 01:47:02 loss: 1.7516 Lr: 1.78234e-03 [2025-03-28 00:32:47,664 INFO hook.py line 566 1202667] Train: [47/100][250/255] Data 0.000 (0.051) Batch 0.116 (0.457) Remain 01:42:54 loss: 1.8301 Lr: 1.77278e-03 [2025-03-28 00:32:48,250 INFO misc.py line 135 1202667] Train result: loss: 1.6732 [2025-03-28 00:32:48,284 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 00:33:01,309 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.7931 [2025-03-28 00:33:03,050 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5130 [2025-03-28 00:33:03,349 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6572 [2025-03-28 00:33:04,031 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3915 [2025-03-28 00:33:04,302 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6606 [2025-03-28 00:33:04,583 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9030 [2025-03-28 00:33:07,563 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7224 [2025-03-28 00:33:08,024 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0443 [2025-03-28 00:33:08,224 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2816 [2025-03-28 00:33:08,687 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5765 [2025-03-28 00:33:08,891 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5909 [2025-03-28 00:33:09,044 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4547 [2025-03-28 00:33:09,325 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1556 [2025-03-28 00:33:09,944 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7188 [2025-03-28 00:33:10,261 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7560 [2025-03-28 00:33:11,547 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8156 [2025-03-28 00:33:12,791 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6392 [2025-03-28 00:33:13,820 INFO hook.py line 674 1202667] ######################################## [2025-03-28 00:33:13,820 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 00:33:13,820 INFO hook.py line 680 1202667] ######################################## [2025-03-28 00:33:13,820 INFO hook.py line 689 1202667] ceiling : 0.7948 0.9275 [2025-03-28 00:33:13,820 INFO hook.py line 689 1202667] floor : 0.8566 0.9748 [2025-03-28 00:33:13,820 INFO hook.py line 689 1202667] wall : 0.6767 0.9400 [2025-03-28 00:33:13,821 INFO hook.py line 689 1202667] beam : 0.0007 0.0080 [2025-03-28 00:33:13,821 INFO hook.py line 689 1202667] column : 0.0040 0.0042 [2025-03-28 00:33:13,821 INFO hook.py line 689 1202667] window : 0.1461 0.1541 [2025-03-28 00:33:13,821 INFO hook.py line 689 1202667] door : 0.1031 0.1504 [2025-03-28 00:33:13,821 INFO hook.py line 689 1202667] table : 0.3385 0.4551 [2025-03-28 00:33:13,821 INFO hook.py line 689 1202667] chair : 0.4664 0.6355 [2025-03-28 00:33:13,821 INFO hook.py line 689 1202667] sofa : 0.0039 0.0040 [2025-03-28 00:33:13,821 INFO hook.py line 689 1202667] bookcase : 0.2160 0.2343 [2025-03-28 00:33:13,821 INFO hook.py line 689 1202667] board : 0.3557 0.5829 [2025-03-28 00:33:13,821 INFO hook.py line 689 1202667] clutter : 0.2645 0.4136 [2025-03-28 00:33:13,821 INFO hook.py line 690 1202667] ######################################## [2025-03-28 00:33:13,821 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3251/0.4219/0.7243. [2025-03-28 00:33:13,821 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 00:33:13,851 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3253 [2025-03-28 00:33:13,851 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 00:33:46,117 INFO hook.py line 566 1202667] Train: [48/100][50/255] Data 0.002 (0.002) Batch 0.147 (0.515) Remain 01:55:33 loss: 1.5773 Lr: 1.76226e-03 [2025-03-28 00:34:09,713 INFO hook.py line 566 1202667] Train: [48/100][100/255] Data 0.002 (0.106) Batch 0.129 (0.493) Remain 01:50:10 loss: 1.5098 Lr: 1.75268e-03 [2025-03-28 00:34:31,862 INFO hook.py line 566 1202667] Train: [48/100][150/255] Data 0.002 (0.107) Batch 0.137 (0.476) Remain 01:45:59 loss: 1.7568 Lr: 1.74308e-03 [2025-03-28 00:35:00,795 INFO hook.py line 566 1202667] Train: [48/100][200/255] Data 0.002 (0.080) Batch 0.136 (0.502) Remain 01:51:23 loss: 1.6929 Lr: 1.73348e-03 [2025-03-28 00:35:19,067 INFO hook.py line 566 1202667] Train: [48/100][250/255] Data 0.001 (0.071) Batch 0.110 (0.474) Remain 01:44:51 loss: 1.7573 Lr: 1.72387e-03 [2025-03-28 00:35:20,141 INFO misc.py line 135 1202667] Train result: loss: 1.6669 [2025-03-28 00:35:20,174 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 00:35:33,861 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.7952 [2025-03-28 00:35:35,599 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5031 [2025-03-28 00:35:35,896 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6677 [2025-03-28 00:35:36,580 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3897 [2025-03-28 00:35:36,851 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6534 [2025-03-28 00:35:37,133 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9081 [2025-03-28 00:35:40,115 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7182 [2025-03-28 00:35:40,579 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0480 [2025-03-28 00:35:40,780 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2900 [2025-03-28 00:35:41,244 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5590 [2025-03-28 00:35:41,448 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5932 [2025-03-28 00:35:41,602 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4604 [2025-03-28 00:35:41,886 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1644 [2025-03-28 00:35:42,504 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7172 [2025-03-28 00:35:42,821 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7624 [2025-03-28 00:35:44,104 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8147 [2025-03-28 00:35:45,347 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6444 [2025-03-28 00:35:46,538 INFO hook.py line 674 1202667] ######################################## [2025-03-28 00:35:46,538 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 00:35:46,538 INFO hook.py line 680 1202667] ######################################## [2025-03-28 00:35:46,538 INFO hook.py line 689 1202667] ceiling : 0.7954 0.9283 [2025-03-28 00:35:46,538 INFO hook.py line 689 1202667] floor : 0.8591 0.9747 [2025-03-28 00:35:46,538 INFO hook.py line 689 1202667] wall : 0.6775 0.9389 [2025-03-28 00:35:46,538 INFO hook.py line 689 1202667] beam : 0.0008 0.0109 [2025-03-28 00:35:46,538 INFO hook.py line 689 1202667] column : 0.0041 0.0043 [2025-03-28 00:35:46,538 INFO hook.py line 689 1202667] window : 0.1576 0.1682 [2025-03-28 00:35:46,539 INFO hook.py line 689 1202667] door : 0.1046 0.1539 [2025-03-28 00:35:46,539 INFO hook.py line 689 1202667] table : 0.3434 0.4772 [2025-03-28 00:35:46,539 INFO hook.py line 689 1202667] chair : 0.4641 0.6474 [2025-03-28 00:35:46,539 INFO hook.py line 689 1202667] sofa : 0.0038 0.0039 [2025-03-28 00:35:46,539 INFO hook.py line 689 1202667] bookcase : 0.2111 0.2283 [2025-03-28 00:35:46,539 INFO hook.py line 689 1202667] board : 0.3564 0.5986 [2025-03-28 00:35:46,539 INFO hook.py line 689 1202667] clutter : 0.2608 0.4014 [2025-03-28 00:35:46,539 INFO hook.py line 690 1202667] ######################################## [2025-03-28 00:35:46,539 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3261/0.4258/0.7243. [2025-03-28 00:35:46,539 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 00:35:46,567 INFO misc.py line 159 1202667] Best validation mIoU updated to: 0.3261 [2025-03-28 00:35:46,568 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 00:35:46,568 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 00:36:15,504 INFO hook.py line 566 1202667] Train: [49/100][50/255] Data 0.002 (0.137) Batch 0.161 (0.413) Remain 01:31:01 loss: 1.6974 Lr: 1.71329e-03 [2025-03-28 00:36:39,881 INFO hook.py line 566 1202667] Train: [49/100][100/255] Data 0.001 (0.133) Batch 0.147 (0.452) Remain 01:39:03 loss: 1.5833 Lr: 1.70365e-03 [2025-03-28 00:37:07,398 INFO hook.py line 566 1202667] Train: [49/100][150/255] Data 0.001 (0.113) Batch 0.137 (0.485) Remain 01:46:01 loss: 1.7400 Lr: 1.69421e-03 [2025-03-28 00:37:29,435 INFO hook.py line 566 1202667] Train: [49/100][200/255] Data 0.002 (0.113) Batch 0.126 (0.474) Remain 01:43:09 loss: 1.6146 Lr: 1.68456e-03 [2025-03-28 00:37:50,300 INFO hook.py line 566 1202667] Train: [49/100][250/255] Data 0.000 (0.127) Batch 0.114 (0.462) Remain 01:40:16 loss: 1.6949 Lr: 1.67491e-03 [2025-03-28 00:37:52,407 INFO misc.py line 135 1202667] Train result: loss: 1.6680 [2025-03-28 00:37:52,440 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 00:38:04,220 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8101 [2025-03-28 00:38:06,599 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5150 [2025-03-28 00:38:06,897 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6746 [2025-03-28 00:38:07,582 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3931 [2025-03-28 00:38:07,851 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6580 [2025-03-28 00:38:08,133 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9072 [2025-03-28 00:38:11,114 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7346 [2025-03-28 00:38:11,578 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0499 [2025-03-28 00:38:11,778 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2868 [2025-03-28 00:38:12,241 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5726 [2025-03-28 00:38:12,443 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6042 [2025-03-28 00:38:12,597 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4599 [2025-03-28 00:38:12,881 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1777 [2025-03-28 00:38:13,500 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7288 [2025-03-28 00:38:13,817 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7745 [2025-03-28 00:38:15,099 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8164 [2025-03-28 00:38:16,345 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6442 [2025-03-28 00:38:17,391 INFO hook.py line 674 1202667] ######################################## [2025-03-28 00:38:17,391 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 00:38:17,391 INFO hook.py line 680 1202667] ######################################## [2025-03-28 00:38:17,391 INFO hook.py line 689 1202667] ceiling : 0.7952 0.9275 [2025-03-28 00:38:17,391 INFO hook.py line 689 1202667] floor : 0.8562 0.9752 [2025-03-28 00:38:17,391 INFO hook.py line 689 1202667] wall : 0.6783 0.9376 [2025-03-28 00:38:17,391 INFO hook.py line 689 1202667] beam : 0.0006 0.0076 [2025-03-28 00:38:17,391 INFO hook.py line 689 1202667] column : 0.0045 0.0048 [2025-03-28 00:38:17,391 INFO hook.py line 689 1202667] window : 0.1413 0.1492 [2025-03-28 00:38:17,391 INFO hook.py line 689 1202667] door : 0.1045 0.1549 [2025-03-28 00:38:17,391 INFO hook.py line 689 1202667] table : 0.3392 0.4652 [2025-03-28 00:38:17,391 INFO hook.py line 689 1202667] chair : 0.4636 0.6479 [2025-03-28 00:38:17,391 INFO hook.py line 689 1202667] sofa : 0.0039 0.0039 [2025-03-28 00:38:17,391 INFO hook.py line 689 1202667] bookcase : 0.2043 0.2196 [2025-03-28 00:38:17,391 INFO hook.py line 689 1202667] board : 0.3526 0.6127 [2025-03-28 00:38:17,391 INFO hook.py line 689 1202667] clutter : 0.2626 0.4115 [2025-03-28 00:38:17,391 INFO hook.py line 690 1202667] ######################################## [2025-03-28 00:38:17,391 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3236/0.4244/0.7229. [2025-03-28 00:38:17,392 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 00:38:17,420 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 00:38:17,420 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 00:38:49,074 INFO hook.py line 566 1202667] Train: [50/100][50/255] Data 0.002 (0.134) Batch 0.370 (0.465) Remain 01:40:23 loss: 1.5252 Lr: 1.66428e-03 [2025-03-28 00:39:11,708 INFO hook.py line 566 1202667] Train: [50/100][100/255] Data 0.002 (0.103) Batch 0.130 (0.459) Remain 01:38:38 loss: 1.5586 Lr: 1.65461e-03 [2025-03-28 00:39:33,779 INFO hook.py line 566 1202667] Train: [50/100][150/255] Data 0.002 (0.069) Batch 0.158 (0.453) Remain 01:37:00 loss: 1.5013 Lr: 1.64493e-03 [2025-03-28 00:39:57,509 INFO hook.py line 566 1202667] Train: [50/100][200/255] Data 0.002 (0.052) Batch 0.122 (0.458) Remain 01:37:48 loss: 1.5508 Lr: 1.63525e-03 [2025-03-28 00:40:16,540 INFO hook.py line 566 1202667] Train: [50/100][250/255] Data 0.059 (0.048) Batch 0.162 (0.443) Remain 01:34:05 loss: 1.5176 Lr: 1.62556e-03 [2025-03-28 00:40:18,159 INFO misc.py line 135 1202667] Train result: loss: 1.6594 [2025-03-28 00:40:18,190 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 00:40:30,676 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8010 [2025-03-28 00:40:32,502 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5118 [2025-03-28 00:40:32,799 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6691 [2025-03-28 00:40:33,487 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3934 [2025-03-28 00:40:33,758 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6661 [2025-03-28 00:40:34,042 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9050 [2025-03-28 00:40:37,028 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7301 [2025-03-28 00:40:37,490 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0415 [2025-03-28 00:40:37,690 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2842 [2025-03-28 00:40:38,153 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5781 [2025-03-28 00:40:38,356 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5997 [2025-03-28 00:40:38,511 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4511 [2025-03-28 00:40:38,795 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1568 [2025-03-28 00:40:39,413 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7273 [2025-03-28 00:40:39,729 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7674 [2025-03-28 00:40:41,013 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8183 [2025-03-28 00:40:42,259 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6374 [2025-03-28 00:40:43,336 INFO hook.py line 674 1202667] ######################################## [2025-03-28 00:40:43,336 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 00:40:43,336 INFO hook.py line 680 1202667] ######################################## [2025-03-28 00:40:43,336 INFO hook.py line 689 1202667] ceiling : 0.7953 0.9275 [2025-03-28 00:40:43,336 INFO hook.py line 689 1202667] floor : 0.8574 0.9750 [2025-03-28 00:40:43,336 INFO hook.py line 689 1202667] wall : 0.6766 0.9400 [2025-03-28 00:40:43,337 INFO hook.py line 689 1202667] beam : 0.0006 0.0082 [2025-03-28 00:40:43,337 INFO hook.py line 689 1202667] column : 0.0040 0.0042 [2025-03-28 00:40:43,337 INFO hook.py line 689 1202667] window : 0.1401 0.1477 [2025-03-28 00:40:43,337 INFO hook.py line 689 1202667] door : 0.1051 0.1566 [2025-03-28 00:40:43,337 INFO hook.py line 689 1202667] table : 0.3400 0.4670 [2025-03-28 00:40:43,337 INFO hook.py line 689 1202667] chair : 0.4638 0.6356 [2025-03-28 00:40:43,337 INFO hook.py line 689 1202667] sofa : 0.0045 0.0046 [2025-03-28 00:40:43,337 INFO hook.py line 689 1202667] bookcase : 0.2104 0.2272 [2025-03-28 00:40:43,337 INFO hook.py line 689 1202667] board : 0.3530 0.5844 [2025-03-28 00:40:43,337 INFO hook.py line 689 1202667] clutter : 0.2630 0.4077 [2025-03-28 00:40:43,337 INFO hook.py line 690 1202667] ######################################## [2025-03-28 00:40:43,337 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3241/0.4220/0.7235. [2025-03-28 00:40:43,338 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 00:40:43,376 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 00:40:43,377 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 00:41:15,703 INFO hook.py line 566 1202667] Train: [51/100][50/255] Data 0.001 (0.008) Batch 2.239 (0.425) Remain 01:29:57 loss: 1.6099 Lr: 1.61489e-03 [2025-03-28 00:41:34,809 INFO hook.py line 566 1202667] Train: [51/100][100/255] Data 0.002 (0.028) Batch 0.135 (0.403) Remain 01:24:56 loss: 1.5398 Lr: 1.60519e-03 [2025-03-28 00:42:03,869 INFO hook.py line 566 1202667] Train: [51/100][150/255] Data 0.002 (0.086) Batch 0.143 (0.464) Remain 01:37:20 loss: 1.5776 Lr: 1.59549e-03 [2025-03-28 00:42:29,986 INFO hook.py line 566 1202667] Train: [51/100][200/255] Data 0.001 (0.121) Batch 0.119 (0.478) Remain 01:40:04 loss: 1.7393 Lr: 1.58578e-03 [2025-03-28 00:42:47,865 INFO hook.py line 566 1202667] Train: [51/100][250/255] Data 0.000 (0.114) Batch 0.320 (0.454) Remain 01:34:35 loss: 1.4274 Lr: 1.57607e-03 [2025-03-28 00:42:51,502 INFO misc.py line 135 1202667] Train result: loss: 1.6641 [2025-03-28 00:42:51,530 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 00:43:05,124 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8097 [2025-03-28 00:43:06,864 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5159 [2025-03-28 00:43:07,161 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6754 [2025-03-28 00:43:07,848 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3948 [2025-03-28 00:43:08,118 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6634 [2025-03-28 00:43:08,399 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9071 [2025-03-28 00:43:11,384 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7322 [2025-03-28 00:43:11,849 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0455 [2025-03-28 00:43:12,050 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2884 [2025-03-28 00:43:12,513 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5730 [2025-03-28 00:43:12,716 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6052 [2025-03-28 00:43:12,870 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4549 [2025-03-28 00:43:13,152 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1689 [2025-03-28 00:43:13,771 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7245 [2025-03-28 00:43:14,089 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7685 [2025-03-28 00:43:15,372 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8149 [2025-03-28 00:43:16,617 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6419 [2025-03-28 00:43:17,613 INFO hook.py line 674 1202667] ######################################## [2025-03-28 00:43:17,613 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 00:43:17,613 INFO hook.py line 680 1202667] ######################################## [2025-03-28 00:43:17,613 INFO hook.py line 689 1202667] ceiling : 0.7952 0.9288 [2025-03-28 00:43:17,613 INFO hook.py line 689 1202667] floor : 0.8559 0.9750 [2025-03-28 00:43:17,613 INFO hook.py line 689 1202667] wall : 0.6771 0.9385 [2025-03-28 00:43:17,614 INFO hook.py line 689 1202667] beam : 0.0006 0.0078 [2025-03-28 00:43:17,614 INFO hook.py line 689 1202667] column : 0.0045 0.0047 [2025-03-28 00:43:17,614 INFO hook.py line 689 1202667] window : 0.1432 0.1511 [2025-03-28 00:43:17,614 INFO hook.py line 689 1202667] door : 0.1028 0.1510 [2025-03-28 00:43:17,614 INFO hook.py line 689 1202667] table : 0.3363 0.4609 [2025-03-28 00:43:17,614 INFO hook.py line 689 1202667] chair : 0.4647 0.6442 [2025-03-28 00:43:17,614 INFO hook.py line 689 1202667] sofa : 0.0047 0.0049 [2025-03-28 00:43:17,614 INFO hook.py line 689 1202667] bookcase : 0.2029 0.2178 [2025-03-28 00:43:17,614 INFO hook.py line 689 1202667] board : 0.3534 0.5990 [2025-03-28 00:43:17,614 INFO hook.py line 689 1202667] clutter : 0.2627 0.4118 [2025-03-28 00:43:17,614 INFO hook.py line 690 1202667] ######################################## [2025-03-28 00:43:17,614 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3234/0.4227/0.7228. [2025-03-28 00:43:17,614 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 00:43:17,643 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 00:43:17,643 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 00:43:46,526 INFO hook.py line 566 1202667] Train: [52/100][50/255] Data 0.820 (0.145) Batch 0.961 (0.447) Remain 01:32:48 loss: 1.7164 Lr: 1.56539e-03 [2025-03-28 00:44:08,970 INFO hook.py line 566 1202667] Train: [52/100][100/255] Data 0.003 (0.131) Batch 0.131 (0.448) Remain 01:32:35 loss: 1.6219 Lr: 1.55567e-03 [2025-03-28 00:44:32,246 INFO hook.py line 566 1202667] Train: [52/100][150/255] Data 0.489 (0.099) Batch 1.696 (0.454) Remain 01:33:25 loss: 1.5827 Lr: 1.54595e-03 [2025-03-28 00:44:53,690 INFO hook.py line 566 1202667] Train: [52/100][200/255] Data 0.003 (0.083) Batch 0.117 (0.448) Remain 01:31:44 loss: 1.7178 Lr: 1.53623e-03 [2025-03-28 00:45:15,540 INFO hook.py line 566 1202667] Train: [52/100][250/255] Data 0.001 (0.075) Batch 0.123 (0.446) Remain 01:30:55 loss: 1.6817 Lr: 1.52650e-03 [2025-03-28 00:45:16,276 INFO misc.py line 135 1202667] Train result: loss: 1.6562 [2025-03-28 00:45:16,306 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 00:45:27,895 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8123 [2025-03-28 00:45:30,324 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5228 [2025-03-28 00:45:30,621 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6886 [2025-03-28 00:45:31,307 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3967 [2025-03-28 00:45:31,576 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6623 [2025-03-28 00:45:31,859 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9089 [2025-03-28 00:45:34,841 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7338 [2025-03-28 00:45:35,305 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0474 [2025-03-28 00:45:35,505 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2927 [2025-03-28 00:45:35,969 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5692 [2025-03-28 00:45:36,172 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6050 [2025-03-28 00:45:36,326 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4580 [2025-03-28 00:45:36,609 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1740 [2025-03-28 00:45:37,227 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7211 [2025-03-28 00:45:37,544 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7757 [2025-03-28 00:45:38,830 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8213 [2025-03-28 00:45:40,076 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6375 [2025-03-28 00:45:41,135 INFO hook.py line 674 1202667] ######################################## [2025-03-28 00:45:41,135 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 00:45:41,135 INFO hook.py line 680 1202667] ######################################## [2025-03-28 00:45:41,135 INFO hook.py line 689 1202667] ceiling : 0.7946 0.9285 [2025-03-28 00:45:41,135 INFO hook.py line 689 1202667] floor : 0.8545 0.9757 [2025-03-28 00:45:41,135 INFO hook.py line 689 1202667] wall : 0.6750 0.9416 [2025-03-28 00:45:41,135 INFO hook.py line 689 1202667] beam : 0.0007 0.0083 [2025-03-28 00:45:41,135 INFO hook.py line 689 1202667] column : 0.0037 0.0038 [2025-03-28 00:45:41,135 INFO hook.py line 689 1202667] window : 0.1561 0.1665 [2025-03-28 00:45:41,135 INFO hook.py line 689 1202667] door : 0.1007 0.1469 [2025-03-28 00:45:41,135 INFO hook.py line 689 1202667] table : 0.3352 0.4622 [2025-03-28 00:45:41,135 INFO hook.py line 689 1202667] chair : 0.4630 0.6487 [2025-03-28 00:45:41,135 INFO hook.py line 689 1202667] sofa : 0.0037 0.0038 [2025-03-28 00:45:41,135 INFO hook.py line 689 1202667] bookcase : 0.2029 0.2180 [2025-03-28 00:45:41,135 INFO hook.py line 689 1202667] board : 0.3523 0.5926 [2025-03-28 00:45:41,135 INFO hook.py line 689 1202667] clutter : 0.2595 0.3971 [2025-03-28 00:45:41,135 INFO hook.py line 690 1202667] ######################################## [2025-03-28 00:45:41,135 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3232/0.4226/0.7229. [2025-03-28 00:45:41,136 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 00:45:41,166 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 00:45:41,166 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 00:46:10,272 INFO hook.py line 566 1202667] Train: [53/100][50/255] Data 0.002 (0.002) Batch 0.144 (0.425) Remain 01:26:21 loss: 1.6093 Lr: 1.51581e-03 [2025-03-28 00:46:34,741 INFO hook.py line 566 1202667] Train: [53/100][100/255] Data 0.002 (0.069) Batch 0.143 (0.458) Remain 01:32:42 loss: 1.7066 Lr: 1.50608e-03 [2025-03-28 00:46:58,087 INFO hook.py line 566 1202667] Train: [53/100][150/255] Data 0.003 (0.096) Batch 1.140 (0.461) Remain 01:32:55 loss: 1.7610 Lr: 1.49636e-03 [2025-03-28 00:47:18,497 INFO hook.py line 566 1202667] Train: [53/100][200/255] Data 0.002 (0.104) Batch 0.140 (0.448) Remain 01:29:50 loss: 1.4494 Lr: 1.48663e-03 [2025-03-28 00:47:43,500 INFO hook.py line 566 1202667] Train: [53/100][250/255] Data 0.002 (0.103) Batch 0.124 (0.458) Remain 01:31:35 loss: 1.5904 Lr: 1.47691e-03 [2025-03-28 00:47:45,296 INFO misc.py line 135 1202667] Train result: loss: 1.6710 [2025-03-28 00:47:45,325 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 00:47:57,110 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.7959 [2025-03-28 00:47:59,166 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5073 [2025-03-28 00:47:59,465 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6708 [2025-03-28 00:48:00,152 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3920 [2025-03-28 00:48:00,421 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6589 [2025-03-28 00:48:00,703 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9051 [2025-03-28 00:48:03,690 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7261 [2025-03-28 00:48:04,154 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0383 [2025-03-28 00:48:04,356 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2902 [2025-03-28 00:48:04,818 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5720 [2025-03-28 00:48:05,021 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5942 [2025-03-28 00:48:05,175 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4588 [2025-03-28 00:48:05,458 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1609 [2025-03-28 00:48:06,077 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7125 [2025-03-28 00:48:06,392 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7640 [2025-03-28 00:48:07,677 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8190 [2025-03-28 00:48:08,924 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6343 [2025-03-28 00:48:10,022 INFO hook.py line 674 1202667] ######################################## [2025-03-28 00:48:10,022 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 00:48:10,022 INFO hook.py line 680 1202667] ######################################## [2025-03-28 00:48:10,022 INFO hook.py line 689 1202667] ceiling : 0.7950 0.9294 [2025-03-28 00:48:10,023 INFO hook.py line 689 1202667] floor : 0.8594 0.9746 [2025-03-28 00:48:10,023 INFO hook.py line 689 1202667] wall : 0.6746 0.9415 [2025-03-28 00:48:10,023 INFO hook.py line 689 1202667] beam : 0.0008 0.0100 [2025-03-28 00:48:10,023 INFO hook.py line 689 1202667] column : 0.0037 0.0039 [2025-03-28 00:48:10,023 INFO hook.py line 689 1202667] window : 0.1535 0.1636 [2025-03-28 00:48:10,023 INFO hook.py line 689 1202667] door : 0.0999 0.1437 [2025-03-28 00:48:10,023 INFO hook.py line 689 1202667] table : 0.3415 0.4687 [2025-03-28 00:48:10,023 INFO hook.py line 689 1202667] chair : 0.4649 0.6365 [2025-03-28 00:48:10,023 INFO hook.py line 689 1202667] sofa : 0.0060 0.0062 [2025-03-28 00:48:10,024 INFO hook.py line 689 1202667] bookcase : 0.2090 0.2257 [2025-03-28 00:48:10,024 INFO hook.py line 689 1202667] board : 0.3539 0.5871 [2025-03-28 00:48:10,024 INFO hook.py line 689 1202667] clutter : 0.2617 0.4030 [2025-03-28 00:48:10,024 INFO hook.py line 690 1202667] ######################################## [2025-03-28 00:48:10,024 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3249/0.4226/0.7240. [2025-03-28 00:48:10,025 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 00:48:10,054 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 00:48:10,054 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 00:48:44,695 INFO hook.py line 566 1202667] Train: [54/100][50/255] Data 0.001 (0.176) Batch 0.130 (0.557) Remain 01:50:50 loss: 1.5202 Lr: 1.46621e-03 [2025-03-28 00:49:03,662 INFO hook.py line 566 1202667] Train: [54/100][100/255] Data 0.003 (0.088) Batch 0.121 (0.466) Remain 01:32:12 loss: 1.7033 Lr: 1.45649e-03 [2025-03-28 00:49:29,963 INFO hook.py line 566 1202667] Train: [54/100][150/255] Data 0.002 (0.059) Batch 1.278 (0.486) Remain 01:35:52 loss: 1.6376 Lr: 1.44677e-03 [2025-03-28 00:49:52,043 INFO hook.py line 566 1202667] Train: [54/100][200/255] Data 0.002 (0.068) Batch 0.150 (0.475) Remain 01:33:15 loss: 1.7004 Lr: 1.43705e-03 [2025-03-28 00:50:12,607 INFO hook.py line 566 1202667] Train: [54/100][250/255] Data 0.000 (0.071) Batch 0.118 (0.462) Remain 01:30:20 loss: 1.5370 Lr: 1.42734e-03 [2025-03-28 00:50:13,193 INFO misc.py line 135 1202667] Train result: loss: 1.6723 [2025-03-28 00:50:13,224 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 00:50:26,055 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8075 [2025-03-28 00:50:27,821 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5098 [2025-03-28 00:50:28,119 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6834 [2025-03-28 00:50:28,802 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3919 [2025-03-28 00:50:29,072 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6614 [2025-03-28 00:50:29,354 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9057 [2025-03-28 00:50:32,339 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7336 [2025-03-28 00:50:32,804 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0398 [2025-03-28 00:50:33,005 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2912 [2025-03-28 00:50:33,469 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5687 [2025-03-28 00:50:33,674 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6086 [2025-03-28 00:50:33,828 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4626 [2025-03-28 00:50:34,111 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1630 [2025-03-28 00:50:34,730 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7278 [2025-03-28 00:50:35,047 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7724 [2025-03-28 00:50:36,332 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8232 [2025-03-28 00:50:37,576 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6351 [2025-03-28 00:50:38,708 INFO hook.py line 674 1202667] ######################################## [2025-03-28 00:50:38,708 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 00:50:38,708 INFO hook.py line 680 1202667] ######################################## [2025-03-28 00:50:38,708 INFO hook.py line 689 1202667] ceiling : 0.7951 0.9282 [2025-03-28 00:50:38,708 INFO hook.py line 689 1202667] floor : 0.8585 0.9747 [2025-03-28 00:50:38,708 INFO hook.py line 689 1202667] wall : 0.6756 0.9409 [2025-03-28 00:50:38,708 INFO hook.py line 689 1202667] beam : 0.0004 0.0046 [2025-03-28 00:50:38,708 INFO hook.py line 689 1202667] column : 0.0042 0.0044 [2025-03-28 00:50:38,708 INFO hook.py line 689 1202667] window : 0.1459 0.1550 [2025-03-28 00:50:38,708 INFO hook.py line 689 1202667] door : 0.1010 0.1487 [2025-03-28 00:50:38,708 INFO hook.py line 689 1202667] table : 0.3400 0.4721 [2025-03-28 00:50:38,708 INFO hook.py line 689 1202667] chair : 0.4635 0.6511 [2025-03-28 00:50:38,708 INFO hook.py line 689 1202667] sofa : 0.0041 0.0042 [2025-03-28 00:50:38,708 INFO hook.py line 689 1202667] bookcase : 0.2034 0.2187 [2025-03-28 00:50:38,708 INFO hook.py line 689 1202667] board : 0.3517 0.5843 [2025-03-28 00:50:38,708 INFO hook.py line 689 1202667] clutter : 0.2604 0.4014 [2025-03-28 00:50:38,708 INFO hook.py line 690 1202667] ######################################## [2025-03-28 00:50:38,708 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3234/0.4222/0.7229. [2025-03-28 00:50:38,709 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 00:50:38,735 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 00:50:38,735 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 00:51:11,178 INFO hook.py line 566 1202667] Train: [55/100][50/255] Data 0.006 (0.012) Batch 1.211 (0.437) Remain 01:25:04 loss: 1.8222 Lr: 1.41665e-03 [2025-03-28 00:51:36,515 INFO hook.py line 566 1202667] Train: [55/100][100/255] Data 0.001 (0.091) Batch 0.117 (0.473) Remain 01:31:40 loss: 1.4953 Lr: 1.40694e-03 [2025-03-28 00:51:58,387 INFO hook.py line 566 1202667] Train: [55/100][150/255] Data 0.002 (0.060) Batch 0.119 (0.461) Remain 01:28:57 loss: 1.6762 Lr: 1.39724e-03 [2025-03-28 00:52:21,737 INFO hook.py line 566 1202667] Train: [55/100][200/255] Data 0.002 (0.070) Batch 0.136 (0.462) Remain 01:28:51 loss: 1.4684 Lr: 1.38754e-03 [2025-03-28 00:52:41,569 INFO hook.py line 566 1202667] Train: [55/100][250/255] Data 0.001 (0.072) Batch 0.119 (0.449) Remain 01:25:55 loss: 1.6583 Lr: 1.37784e-03 [2025-03-28 00:52:42,155 INFO misc.py line 135 1202667] Train result: loss: 1.6628 [2025-03-28 00:52:42,185 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 00:52:55,541 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.7980 [2025-03-28 00:52:57,289 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.4943 [2025-03-28 00:52:57,586 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6629 [2025-03-28 00:52:58,271 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3830 [2025-03-28 00:52:58,541 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6542 [2025-03-28 00:52:58,823 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9037 [2025-03-28 00:53:01,806 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7162 [2025-03-28 00:53:02,274 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0439 [2025-03-28 00:53:02,476 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2791 [2025-03-28 00:53:02,939 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5697 [2025-03-28 00:53:03,143 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5947 [2025-03-28 00:53:03,297 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4581 [2025-03-28 00:53:03,580 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1449 [2025-03-28 00:53:04,198 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7243 [2025-03-28 00:53:04,515 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7567 [2025-03-28 00:53:05,798 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8123 [2025-03-28 00:53:07,042 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6384 [2025-03-28 00:53:08,293 INFO hook.py line 674 1202667] ######################################## [2025-03-28 00:53:08,294 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 00:53:08,294 INFO hook.py line 680 1202667] ######################################## [2025-03-28 00:53:08,294 INFO hook.py line 689 1202667] ceiling : 0.7956 0.9289 [2025-03-28 00:53:08,294 INFO hook.py line 689 1202667] floor : 0.8590 0.9747 [2025-03-28 00:53:08,294 INFO hook.py line 689 1202667] wall : 0.6770 0.9396 [2025-03-28 00:53:08,294 INFO hook.py line 689 1202667] beam : 0.0006 0.0070 [2025-03-28 00:53:08,294 INFO hook.py line 689 1202667] column : 0.0046 0.0049 [2025-03-28 00:53:08,294 INFO hook.py line 689 1202667] window : 0.1467 0.1555 [2025-03-28 00:53:08,294 INFO hook.py line 689 1202667] door : 0.1011 0.1469 [2025-03-28 00:53:08,294 INFO hook.py line 689 1202667] table : 0.3424 0.4719 [2025-03-28 00:53:08,294 INFO hook.py line 689 1202667] chair : 0.4642 0.6480 [2025-03-28 00:53:08,294 INFO hook.py line 689 1202667] sofa : 0.0026 0.0026 [2025-03-28 00:53:08,294 INFO hook.py line 689 1202667] bookcase : 0.2109 0.2279 [2025-03-28 00:53:08,295 INFO hook.py line 689 1202667] board : 0.3551 0.5994 [2025-03-28 00:53:08,295 INFO hook.py line 689 1202667] clutter : 0.2617 0.4054 [2025-03-28 00:53:08,295 INFO hook.py line 690 1202667] ######################################## [2025-03-28 00:53:08,295 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3247/0.4241/0.7241. [2025-03-28 00:53:08,295 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 00:53:08,325 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 00:53:08,326 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 00:53:45,886 INFO hook.py line 566 1202667] Train: [56/100][50/255] Data 5.714 (0.206) Batch 5.862 (0.578) Remain 01:49:59 loss: 1.6316 Lr: 1.36719e-03 [2025-03-28 00:54:03,593 INFO hook.py line 566 1202667] Train: [56/100][100/255] Data 0.002 (0.195) Batch 0.155 (0.462) Remain 01:27:40 loss: 1.9452 Lr: 1.35750e-03 [2025-03-28 00:54:28,297 INFO hook.py line 566 1202667] Train: [56/100][150/255] Data 0.002 (0.129) Batch 0.141 (0.473) Remain 01:29:18 loss: 1.5403 Lr: 1.34782e-03 [2025-03-28 00:54:48,712 INFO hook.py line 566 1202667] Train: [56/100][200/255] Data 0.002 (0.100) Batch 0.143 (0.457) Remain 01:25:49 loss: 1.6265 Lr: 1.33815e-03 [2025-03-28 00:55:15,671 INFO hook.py line 566 1202667] Train: [56/100][250/255] Data 0.000 (0.094) Batch 0.115 (0.473) Remain 01:28:34 loss: 1.8143 Lr: 1.32849e-03 [2025-03-28 00:55:16,226 INFO misc.py line 135 1202667] Train result: loss: 1.6743 [2025-03-28 00:55:16,260 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 00:55:30,549 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8018 [2025-03-28 00:55:32,294 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5062 [2025-03-28 00:55:32,591 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6734 [2025-03-28 00:55:33,276 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3901 [2025-03-28 00:55:33,548 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6573 [2025-03-28 00:55:33,832 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9056 [2025-03-28 00:55:36,816 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7279 [2025-03-28 00:55:37,280 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0435 [2025-03-28 00:55:37,481 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2828 [2025-03-28 00:55:37,944 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5725 [2025-03-28 00:55:38,146 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6019 [2025-03-28 00:55:38,299 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4544 [2025-03-28 00:55:38,582 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1653 [2025-03-28 00:55:39,200 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7198 [2025-03-28 00:55:39,517 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7666 [2025-03-28 00:55:40,801 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8169 [2025-03-28 00:55:42,043 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6345 [2025-03-28 00:55:43,257 INFO hook.py line 674 1202667] ######################################## [2025-03-28 00:55:43,257 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 00:55:43,257 INFO hook.py line 680 1202667] ######################################## [2025-03-28 00:55:43,257 INFO hook.py line 689 1202667] ceiling : 0.7951 0.9287 [2025-03-28 00:55:43,257 INFO hook.py line 689 1202667] floor : 0.8573 0.9750 [2025-03-28 00:55:43,257 INFO hook.py line 689 1202667] wall : 0.6757 0.9410 [2025-03-28 00:55:43,257 INFO hook.py line 689 1202667] beam : 0.0006 0.0078 [2025-03-28 00:55:43,257 INFO hook.py line 689 1202667] column : 0.0042 0.0044 [2025-03-28 00:55:43,257 INFO hook.py line 689 1202667] window : 0.1452 0.1541 [2025-03-28 00:55:43,257 INFO hook.py line 689 1202667] door : 0.1012 0.1481 [2025-03-28 00:55:43,257 INFO hook.py line 689 1202667] table : 0.3389 0.4653 [2025-03-28 00:55:43,257 INFO hook.py line 689 1202667] chair : 0.4646 0.6443 [2025-03-28 00:55:43,257 INFO hook.py line 689 1202667] sofa : 0.0045 0.0046 [2025-03-28 00:55:43,257 INFO hook.py line 689 1202667] bookcase : 0.2055 0.2212 [2025-03-28 00:55:43,257 INFO hook.py line 689 1202667] board : 0.3546 0.5875 [2025-03-28 00:55:43,257 INFO hook.py line 689 1202667] clutter : 0.2619 0.4054 [2025-03-28 00:55:43,257 INFO hook.py line 690 1202667] ######################################## [2025-03-28 00:55:43,257 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3238/0.4221/0.7233. [2025-03-28 00:55:43,258 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 00:55:43,286 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 00:55:43,286 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 00:56:15,256 INFO hook.py line 566 1202667] Train: [57/100][50/255] Data 0.001 (0.169) Batch 0.134 (0.517) Remain 01:36:20 loss: 1.5797 Lr: 1.31786e-03 [2025-03-28 00:56:38,487 INFO hook.py line 566 1202667] Train: [57/100][100/255] Data 0.002 (0.183) Batch 0.122 (0.490) Remain 01:30:51 loss: 1.7860 Lr: 1.30841e-03 [2025-03-28 00:57:07,083 INFO hook.py line 566 1202667] Train: [57/100][150/255] Data 3.572 (0.191) Batch 6.094 (0.518) Remain 01:35:34 loss: 1.5017 Lr: 1.29877e-03 [2025-03-28 00:57:28,387 INFO hook.py line 566 1202667] Train: [57/100][200/255] Data 0.002 (0.164) Batch 0.130 (0.495) Remain 01:30:51 loss: 1.6839 Lr: 1.28913e-03 [2025-03-28 00:57:47,456 INFO hook.py line 566 1202667] Train: [57/100][250/255] Data 0.001 (0.131) Batch 0.120 (0.472) Remain 01:26:15 loss: 1.9174 Lr: 1.27951e-03 [2025-03-28 00:57:48,123 INFO misc.py line 135 1202667] Train result: loss: 1.6789 [2025-03-28 00:57:48,155 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 00:58:00,552 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8055 [2025-03-28 00:58:02,297 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5133 [2025-03-28 00:58:02,596 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6772 [2025-03-28 00:58:03,280 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3923 [2025-03-28 00:58:03,548 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6562 [2025-03-28 00:58:03,830 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9034 [2025-03-28 00:58:06,817 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7263 [2025-03-28 00:58:07,283 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0416 [2025-03-28 00:58:07,484 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2863 [2025-03-28 00:58:07,946 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5705 [2025-03-28 00:58:08,148 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6048 [2025-03-28 00:58:08,300 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4584 [2025-03-28 00:58:08,585 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1641 [2025-03-28 00:58:09,205 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7241 [2025-03-28 00:58:09,521 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7655 [2025-03-28 00:58:10,802 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8212 [2025-03-28 00:58:12,049 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6354 [2025-03-28 00:58:13,448 INFO hook.py line 674 1202667] ######################################## [2025-03-28 00:58:13,449 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 00:58:13,449 INFO hook.py line 680 1202667] ######################################## [2025-03-28 00:58:13,449 INFO hook.py line 689 1202667] ceiling : 0.7956 0.9287 [2025-03-28 00:58:13,449 INFO hook.py line 689 1202667] floor : 0.8578 0.9752 [2025-03-28 00:58:13,449 INFO hook.py line 689 1202667] wall : 0.6750 0.9414 [2025-03-28 00:58:13,449 INFO hook.py line 689 1202667] beam : 0.0009 0.0112 [2025-03-28 00:58:13,449 INFO hook.py line 689 1202667] column : 0.0038 0.0040 [2025-03-28 00:58:13,449 INFO hook.py line 689 1202667] window : 0.1467 0.1558 [2025-03-28 00:58:13,449 INFO hook.py line 689 1202667] door : 0.1007 0.1463 [2025-03-28 00:58:13,450 INFO hook.py line 689 1202667] table : 0.3391 0.4679 [2025-03-28 00:58:13,450 INFO hook.py line 689 1202667] chair : 0.4655 0.6412 [2025-03-28 00:58:13,450 INFO hook.py line 689 1202667] sofa : 0.0048 0.0050 [2025-03-28 00:58:13,450 INFO hook.py line 689 1202667] bookcase : 0.2050 0.2205 [2025-03-28 00:58:13,450 INFO hook.py line 689 1202667] board : 0.3518 0.5907 [2025-03-28 00:58:13,450 INFO hook.py line 689 1202667] clutter : 0.2620 0.4037 [2025-03-28 00:58:13,450 INFO hook.py line 690 1202667] ######################################## [2025-03-28 00:58:13,450 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3237/0.4224/0.7233. [2025-03-28 00:58:13,451 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 00:58:13,485 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 00:58:13,485 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 00:58:44,018 INFO hook.py line 566 1202667] Train: [58/100][50/255] Data 0.002 (0.101) Batch 0.134 (0.523) Remain 01:35:08 loss: 1.5509 Lr: 1.26893e-03 [2025-03-28 00:59:06,536 INFO hook.py line 566 1202667] Train: [58/100][100/255] Data 0.002 (0.110) Batch 1.667 (0.486) Remain 01:27:55 loss: 1.5912 Lr: 1.25933e-03 [2025-03-28 00:59:34,984 INFO hook.py line 566 1202667] Train: [58/100][150/255] Data 0.002 (0.126) Batch 1.530 (0.514) Remain 01:32:38 loss: 1.6414 Lr: 1.24973e-03 [2025-03-28 00:59:55,500 INFO hook.py line 566 1202667] Train: [58/100][200/255] Data 0.002 (0.094) Batch 0.138 (0.488) Remain 01:27:29 loss: 1.5905 Lr: 1.24015e-03 [2025-03-28 01:00:16,879 INFO hook.py line 566 1202667] Train: [58/100][250/255] Data 0.001 (0.107) Batch 0.122 (0.475) Remain 01:24:54 loss: 1.6828 Lr: 1.23058e-03 [2025-03-28 01:00:17,474 INFO misc.py line 135 1202667] Train result: loss: 1.6627 [2025-03-28 01:00:17,507 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 01:00:31,132 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8124 [2025-03-28 01:00:32,872 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5111 [2025-03-28 01:00:33,171 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6776 [2025-03-28 01:00:33,854 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3927 [2025-03-28 01:00:34,124 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6610 [2025-03-28 01:00:34,405 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9061 [2025-03-28 01:00:37,388 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7303 [2025-03-28 01:00:37,854 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0444 [2025-03-28 01:00:38,054 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2847 [2025-03-28 01:00:38,517 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5707 [2025-03-28 01:00:38,720 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5969 [2025-03-28 01:00:38,873 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4597 [2025-03-28 01:00:39,157 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1611 [2025-03-28 01:00:39,774 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7223 [2025-03-28 01:00:40,090 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7622 [2025-03-28 01:00:41,372 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8158 [2025-03-28 01:00:42,618 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6359 [2025-03-28 01:00:43,719 INFO hook.py line 674 1202667] ######################################## [2025-03-28 01:00:43,719 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 01:00:43,719 INFO hook.py line 680 1202667] ######################################## [2025-03-28 01:00:43,719 INFO hook.py line 689 1202667] ceiling : 0.7955 0.9287 [2025-03-28 01:00:43,719 INFO hook.py line 689 1202667] floor : 0.8581 0.9751 [2025-03-28 01:00:43,719 INFO hook.py line 689 1202667] wall : 0.6758 0.9408 [2025-03-28 01:00:43,719 INFO hook.py line 689 1202667] beam : 0.0008 0.0100 [2025-03-28 01:00:43,719 INFO hook.py line 689 1202667] column : 0.0040 0.0042 [2025-03-28 01:00:43,720 INFO hook.py line 689 1202667] window : 0.1488 0.1579 [2025-03-28 01:00:43,720 INFO hook.py line 689 1202667] door : 0.1019 0.1497 [2025-03-28 01:00:43,720 INFO hook.py line 689 1202667] table : 0.3403 0.4677 [2025-03-28 01:00:43,720 INFO hook.py line 689 1202667] chair : 0.4661 0.6452 [2025-03-28 01:00:43,720 INFO hook.py line 689 1202667] sofa : 0.0045 0.0046 [2025-03-28 01:00:43,720 INFO hook.py line 689 1202667] bookcase : 0.2035 0.2188 [2025-03-28 01:00:43,720 INFO hook.py line 689 1202667] board : 0.3540 0.5962 [2025-03-28 01:00:43,720 INFO hook.py line 689 1202667] clutter : 0.2619 0.4047 [2025-03-28 01:00:43,720 INFO hook.py line 690 1202667] ######################################## [2025-03-28 01:00:43,720 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3242/0.4233/0.7233. [2025-03-28 01:00:43,720 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 01:00:43,747 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 01:00:43,747 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 01:01:16,176 INFO hook.py line 566 1202667] Train: [59/100][50/255] Data 0.003 (0.002) Batch 1.154 (0.435) Remain 01:17:16 loss: 1.7251 Lr: 1.22006e-03 [2025-03-28 01:01:43,762 INFO hook.py line 566 1202667] Train: [59/100][100/255] Data 0.001 (0.002) Batch 0.124 (0.495) Remain 01:27:33 loss: 1.4872 Lr: 1.21051e-03 [2025-03-28 01:02:05,628 INFO hook.py line 566 1202667] Train: [59/100][150/255] Data 0.003 (0.006) Batch 0.150 (0.475) Remain 01:23:40 loss: 1.5764 Lr: 1.20098e-03 [2025-03-28 01:02:31,999 INFO hook.py line 566 1202667] Train: [59/100][200/255] Data 0.006 (0.044) Batch 0.147 (0.489) Remain 01:25:35 loss: 1.6834 Lr: 1.19145e-03 [2025-03-28 01:02:53,976 INFO hook.py line 566 1202667] Train: [59/100][250/255] Data 0.000 (0.083) Batch 0.114 (0.479) Remain 01:23:27 loss: 1.5700 Lr: 1.18194e-03 [2025-03-28 01:02:54,581 INFO misc.py line 135 1202667] Train result: loss: 1.6687 [2025-03-28 01:02:54,615 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 01:03:09,272 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.7976 [2025-03-28 01:03:11,015 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5084 [2025-03-28 01:03:11,313 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6691 [2025-03-28 01:03:11,995 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3888 [2025-03-28 01:03:12,264 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6557 [2025-03-28 01:03:12,545 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9073 [2025-03-28 01:03:15,537 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7179 [2025-03-28 01:03:16,004 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0450 [2025-03-28 01:03:16,204 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2789 [2025-03-28 01:03:16,665 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5687 [2025-03-28 01:03:16,868 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6003 [2025-03-28 01:03:17,022 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4625 [2025-03-28 01:03:17,306 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1613 [2025-03-28 01:03:17,922 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7216 [2025-03-28 01:03:18,239 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7606 [2025-03-28 01:03:19,521 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8127 [2025-03-28 01:03:20,766 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6383 [2025-03-28 01:03:22,118 INFO hook.py line 674 1202667] ######################################## [2025-03-28 01:03:22,118 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 01:03:22,118 INFO hook.py line 680 1202667] ######################################## [2025-03-28 01:03:22,118 INFO hook.py line 689 1202667] ceiling : 0.7959 0.9295 [2025-03-28 01:03:22,118 INFO hook.py line 689 1202667] floor : 0.8590 0.9747 [2025-03-28 01:03:22,118 INFO hook.py line 689 1202667] wall : 0.6764 0.9402 [2025-03-28 01:03:22,118 INFO hook.py line 689 1202667] beam : 0.0006 0.0083 [2025-03-28 01:03:22,118 INFO hook.py line 689 1202667] column : 0.0043 0.0046 [2025-03-28 01:03:22,118 INFO hook.py line 689 1202667] window : 0.1492 0.1584 [2025-03-28 01:03:22,118 INFO hook.py line 689 1202667] door : 0.1015 0.1488 [2025-03-28 01:03:22,118 INFO hook.py line 689 1202667] table : 0.3406 0.4718 [2025-03-28 01:03:22,118 INFO hook.py line 689 1202667] chair : 0.4659 0.6451 [2025-03-28 01:03:22,118 INFO hook.py line 689 1202667] sofa : 0.0039 0.0040 [2025-03-28 01:03:22,118 INFO hook.py line 689 1202667] bookcase : 0.2040 0.2193 [2025-03-28 01:03:22,118 INFO hook.py line 689 1202667] board : 0.3558 0.5965 [2025-03-28 01:03:22,118 INFO hook.py line 689 1202667] clutter : 0.2620 0.4057 [2025-03-28 01:03:22,118 INFO hook.py line 690 1202667] ######################################## [2025-03-28 01:03:22,118 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3246/0.4236/0.7235. [2025-03-28 01:03:22,119 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 01:03:22,146 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 01:03:22,146 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 01:03:52,789 INFO hook.py line 566 1202667] Train: [60/100][50/255] Data 0.001 (0.337) Batch 0.143 (0.472) Remain 01:21:54 loss: 1.5334 Lr: 1.17150e-03 [2025-03-28 01:04:16,322 INFO hook.py line 566 1202667] Train: [60/100][100/255] Data 0.001 (0.269) Batch 0.129 (0.471) Remain 01:21:22 loss: 1.5401 Lr: 1.16201e-03 [2025-03-28 01:04:41,517 INFO hook.py line 566 1202667] Train: [60/100][150/255] Data 0.003 (0.178) Batch 0.123 (0.482) Remain 01:22:52 loss: 1.5601 Lr: 1.15255e-03 [2025-03-28 01:05:01,805 INFO hook.py line 566 1202667] Train: [60/100][200/255] Data 0.002 (0.133) Batch 0.146 (0.463) Remain 01:19:08 loss: 1.6883 Lr: 1.14309e-03 [2025-03-28 01:05:25,498 INFO hook.py line 566 1202667] Train: [60/100][250/255] Data 0.000 (0.114) Batch 0.110 (0.465) Remain 01:19:07 loss: 1.6991 Lr: 1.13366e-03 [2025-03-28 01:05:26,090 INFO misc.py line 135 1202667] Train result: loss: 1.6663 [2025-03-28 01:05:26,120 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 01:05:39,604 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.7987 [2025-03-28 01:05:41,344 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5054 [2025-03-28 01:05:41,642 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6718 [2025-03-28 01:05:42,323 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3887 [2025-03-28 01:05:42,592 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6595 [2025-03-28 01:05:42,873 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9094 [2025-03-28 01:05:45,860 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7219 [2025-03-28 01:05:46,326 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0456 [2025-03-28 01:05:46,527 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2824 [2025-03-28 01:05:46,989 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5728 [2025-03-28 01:05:47,192 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5986 [2025-03-28 01:05:47,346 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4605 [2025-03-28 01:05:47,629 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1624 [2025-03-28 01:05:48,247 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7277 [2025-03-28 01:05:48,564 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7614 [2025-03-28 01:05:49,848 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8138 [2025-03-28 01:05:51,093 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6441 [2025-03-28 01:05:52,310 INFO hook.py line 674 1202667] ######################################## [2025-03-28 01:05:52,310 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 01:05:52,310 INFO hook.py line 680 1202667] ######################################## [2025-03-28 01:05:52,310 INFO hook.py line 689 1202667] ceiling : 0.7959 0.9286 [2025-03-28 01:05:52,310 INFO hook.py line 689 1202667] floor : 0.8588 0.9748 [2025-03-28 01:05:52,310 INFO hook.py line 689 1202667] wall : 0.6773 0.9387 [2025-03-28 01:05:52,310 INFO hook.py line 689 1202667] beam : 0.0007 0.0091 [2025-03-28 01:05:52,311 INFO hook.py line 689 1202667] column : 0.0040 0.0042 [2025-03-28 01:05:52,311 INFO hook.py line 689 1202667] window : 0.1445 0.1529 [2025-03-28 01:05:52,311 INFO hook.py line 689 1202667] door : 0.1019 0.1491 [2025-03-28 01:05:52,311 INFO hook.py line 689 1202667] table : 0.3419 0.4739 [2025-03-28 01:05:52,311 INFO hook.py line 689 1202667] chair : 0.4630 0.6567 [2025-03-28 01:05:52,311 INFO hook.py line 689 1202667] sofa : 0.0041 0.0042 [2025-03-28 01:05:52,311 INFO hook.py line 689 1202667] bookcase : 0.2100 0.2267 [2025-03-28 01:05:52,311 INFO hook.py line 689 1202667] board : 0.3542 0.6069 [2025-03-28 01:05:52,311 INFO hook.py line 689 1202667] clutter : 0.2614 0.4041 [2025-03-28 01:05:52,311 INFO hook.py line 690 1202667] ######################################## [2025-03-28 01:05:52,311 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3244/0.4254/0.7238. [2025-03-28 01:05:52,312 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 01:05:52,339 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 01:05:52,340 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 01:06:24,676 INFO hook.py line 566 1202667] Train: [61/100][50/255] Data 0.001 (0.145) Batch 0.144 (0.435) Remain 01:13:32 loss: 1.5987 Lr: 1.12329e-03 [2025-03-28 01:06:48,870 INFO hook.py line 566 1202667] Train: [61/100][100/255] Data 0.002 (0.110) Batch 0.142 (0.460) Remain 01:17:26 loss: 1.8270 Lr: 1.11389e-03 [2025-03-28 01:07:13,498 INFO hook.py line 566 1202667] Train: [61/100][150/255] Data 0.002 (0.112) Batch 0.147 (0.471) Remain 01:18:54 loss: 1.7385 Lr: 1.10450e-03 [2025-03-28 01:07:34,115 INFO hook.py line 566 1202667] Train: [61/100][200/255] Data 0.002 (0.107) Batch 0.149 (0.456) Remain 01:16:01 loss: 1.4878 Lr: 1.09512e-03 [2025-03-28 01:07:57,141 INFO hook.py line 566 1202667] Train: [61/100][250/255] Data 0.000 (0.089) Batch 0.109 (0.457) Remain 01:15:47 loss: 1.7631 Lr: 1.08577e-03 [2025-03-28 01:07:57,717 INFO misc.py line 135 1202667] Train result: loss: 1.6611 [2025-03-28 01:07:57,747 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 01:08:11,351 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8078 [2025-03-28 01:08:13,097 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5154 [2025-03-28 01:08:13,396 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6727 [2025-03-28 01:08:14,082 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3936 [2025-03-28 01:08:14,352 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6630 [2025-03-28 01:08:14,634 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9051 [2025-03-28 01:08:17,621 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7351 [2025-03-28 01:08:18,086 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0418 [2025-03-28 01:08:18,286 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2859 [2025-03-28 01:08:18,750 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5690 [2025-03-28 01:08:18,952 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6036 [2025-03-28 01:08:19,106 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4584 [2025-03-28 01:08:19,388 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1612 [2025-03-28 01:08:20,006 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7331 [2025-03-28 01:08:20,324 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7711 [2025-03-28 01:08:21,608 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8173 [2025-03-28 01:08:22,855 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6385 [2025-03-28 01:08:24,022 INFO hook.py line 674 1202667] ######################################## [2025-03-28 01:08:24,022 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 01:08:24,022 INFO hook.py line 680 1202667] ######################################## [2025-03-28 01:08:24,022 INFO hook.py line 689 1202667] ceiling : 0.7960 0.9288 [2025-03-28 01:08:24,022 INFO hook.py line 689 1202667] floor : 0.8576 0.9751 [2025-03-28 01:08:24,022 INFO hook.py line 689 1202667] wall : 0.6769 0.9392 [2025-03-28 01:08:24,022 INFO hook.py line 689 1202667] beam : 0.0006 0.0083 [2025-03-28 01:08:24,023 INFO hook.py line 689 1202667] column : 0.0042 0.0044 [2025-03-28 01:08:24,023 INFO hook.py line 689 1202667] window : 0.1455 0.1540 [2025-03-28 01:08:24,023 INFO hook.py line 689 1202667] door : 0.1022 0.1502 [2025-03-28 01:08:24,023 INFO hook.py line 689 1202667] table : 0.3391 0.4621 [2025-03-28 01:08:24,023 INFO hook.py line 689 1202667] chair : 0.4654 0.6317 [2025-03-28 01:08:24,023 INFO hook.py line 689 1202667] sofa : 0.0049 0.0050 [2025-03-28 01:08:24,023 INFO hook.py line 689 1202667] bookcase : 0.2020 0.2169 [2025-03-28 01:08:24,023 INFO hook.py line 689 1202667] board : 0.3564 0.6010 [2025-03-28 01:08:24,023 INFO hook.py line 689 1202667] clutter : 0.2643 0.4162 [2025-03-28 01:08:24,023 INFO hook.py line 690 1202667] ######################################## [2025-03-28 01:08:24,023 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3242/0.4225/0.7232. [2025-03-28 01:08:24,023 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 01:08:24,051 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 01:08:24,051 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 01:08:52,444 INFO hook.py line 566 1202667] Train: [62/100][50/255] Data 0.005 (0.112) Batch 0.592 (0.355) Remain 00:58:28 loss: 1.8767 Lr: 1.07550e-03 [2025-03-28 01:09:19,919 INFO hook.py line 566 1202667] Train: [62/100][100/255] Data 0.001 (0.055) Batch 0.129 (0.455) Remain 01:14:39 loss: 1.4807 Lr: 1.06618e-03 [2025-03-28 01:09:42,706 INFO hook.py line 566 1202667] Train: [62/100][150/255] Data 0.002 (0.078) Batch 1.141 (0.455) Remain 01:14:19 loss: 1.6905 Lr: 1.05688e-03 [2025-03-28 01:10:06,531 INFO hook.py line 566 1202667] Train: [62/100][200/255] Data 0.002 (0.059) Batch 0.144 (0.461) Remain 01:14:49 loss: 1.4480 Lr: 1.04760e-03 [2025-03-28 01:10:26,293 INFO hook.py line 566 1202667] Train: [62/100][250/255] Data 0.000 (0.049) Batch 0.115 (0.447) Remain 01:12:17 loss: 1.6017 Lr: 1.03834e-03 [2025-03-28 01:10:26,892 INFO misc.py line 135 1202667] Train result: loss: 1.6570 [2025-03-28 01:10:26,920 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 01:10:40,631 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8005 [2025-03-28 01:10:42,371 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5015 [2025-03-28 01:10:42,668 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6629 [2025-03-28 01:10:43,351 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3851 [2025-03-28 01:10:43,620 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6523 [2025-03-28 01:10:43,902 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9019 [2025-03-28 01:10:46,883 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7239 [2025-03-28 01:10:47,349 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0423 [2025-03-28 01:10:47,550 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2826 [2025-03-28 01:10:48,012 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5698 [2025-03-28 01:10:48,215 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5975 [2025-03-28 01:10:48,369 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4541 [2025-03-28 01:10:48,652 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1565 [2025-03-28 01:10:49,272 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7271 [2025-03-28 01:10:49,589 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7554 [2025-03-28 01:10:50,871 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8108 [2025-03-28 01:10:52,116 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6385 [2025-03-28 01:10:53,390 INFO hook.py line 674 1202667] ######################################## [2025-03-28 01:10:53,391 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 01:10:53,391 INFO hook.py line 680 1202667] ######################################## [2025-03-28 01:10:53,391 INFO hook.py line 689 1202667] ceiling : 0.7959 0.9283 [2025-03-28 01:10:53,392 INFO hook.py line 689 1202667] floor : 0.8599 0.9745 [2025-03-28 01:10:53,392 INFO hook.py line 689 1202667] wall : 0.6773 0.9388 [2025-03-28 01:10:53,392 INFO hook.py line 689 1202667] beam : 0.0005 0.0068 [2025-03-28 01:10:53,392 INFO hook.py line 689 1202667] column : 0.0045 0.0048 [2025-03-28 01:10:53,392 INFO hook.py line 689 1202667] window : 0.1426 0.1506 [2025-03-28 01:10:53,392 INFO hook.py line 689 1202667] door : 0.1029 0.1513 [2025-03-28 01:10:53,392 INFO hook.py line 689 1202667] table : 0.3440 0.4739 [2025-03-28 01:10:53,392 INFO hook.py line 689 1202667] chair : 0.4663 0.6420 [2025-03-28 01:10:53,392 INFO hook.py line 689 1202667] sofa : 0.0036 0.0037 [2025-03-28 01:10:53,392 INFO hook.py line 689 1202667] bookcase : 0.2080 0.2243 [2025-03-28 01:10:53,392 INFO hook.py line 689 1202667] board : 0.3540 0.5947 [2025-03-28 01:10:53,393 INFO hook.py line 689 1202667] clutter : 0.2636 0.4125 [2025-03-28 01:10:53,393 INFO hook.py line 690 1202667] ######################################## [2025-03-28 01:10:53,393 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3249/0.4236/0.7238. [2025-03-28 01:10:53,394 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 01:10:53,422 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 01:10:53,422 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 01:11:26,122 INFO hook.py line 566 1202667] Train: [63/100][50/255] Data 0.004 (0.108) Batch 0.156 (0.543) Remain 01:27:12 loss: 1.7282 Lr: 1.02817e-03 [2025-03-28 01:11:53,205 INFO hook.py line 566 1202667] Train: [63/100][100/255] Data 0.002 (0.236) Batch 0.132 (0.542) Remain 01:26:39 loss: 1.9373 Lr: 1.01895e-03 [2025-03-28 01:12:19,892 INFO hook.py line 566 1202667] Train: [63/100][150/255] Data 0.002 (0.174) Batch 0.128 (0.539) Remain 01:25:45 loss: 1.6894 Lr: 1.00975e-03 [2025-03-28 01:12:41,400 INFO hook.py line 566 1202667] Train: [63/100][200/255] Data 0.002 (0.131) Batch 0.126 (0.512) Remain 01:20:55 loss: 1.7291 Lr: 1.00057e-03 [2025-03-28 01:13:01,421 INFO hook.py line 566 1202667] Train: [63/100][250/255] Data 0.001 (0.104) Batch 0.120 (0.489) Remain 01:16:57 loss: 1.6484 Lr: 9.91408e-04 [2025-03-28 01:13:03,162 INFO misc.py line 135 1202667] Train result: loss: 1.6657 [2025-03-28 01:13:03,192 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 01:13:16,770 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8031 [2025-03-28 01:13:18,518 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5049 [2025-03-28 01:13:18,814 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6711 [2025-03-28 01:13:19,494 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3919 [2025-03-28 01:13:19,764 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6651 [2025-03-28 01:13:20,047 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9063 [2025-03-28 01:13:23,030 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7226 [2025-03-28 01:13:23,497 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0333 [2025-03-28 01:13:23,698 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2817 [2025-03-28 01:13:24,161 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5802 [2025-03-28 01:13:24,364 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6049 [2025-03-28 01:13:24,518 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4519 [2025-03-28 01:13:24,800 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1574 [2025-03-28 01:13:25,419 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7272 [2025-03-28 01:13:25,735 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7664 [2025-03-28 01:13:27,018 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8187 [2025-03-28 01:13:28,263 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6323 [2025-03-28 01:13:29,424 INFO hook.py line 674 1202667] ######################################## [2025-03-28 01:13:29,424 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 01:13:29,424 INFO hook.py line 680 1202667] ######################################## [2025-03-28 01:13:29,424 INFO hook.py line 689 1202667] ceiling : 0.7956 0.9290 [2025-03-28 01:13:29,424 INFO hook.py line 689 1202667] floor : 0.8592 0.9748 [2025-03-28 01:13:29,424 INFO hook.py line 689 1202667] wall : 0.6749 0.9418 [2025-03-28 01:13:29,424 INFO hook.py line 689 1202667] beam : 0.0006 0.0070 [2025-03-28 01:13:29,425 INFO hook.py line 689 1202667] column : 0.0035 0.0036 [2025-03-28 01:13:29,425 INFO hook.py line 689 1202667] window : 0.1453 0.1538 [2025-03-28 01:13:29,425 INFO hook.py line 689 1202667] door : 0.1018 0.1493 [2025-03-28 01:13:29,425 INFO hook.py line 689 1202667] table : 0.3422 0.4705 [2025-03-28 01:13:29,425 INFO hook.py line 689 1202667] chair : 0.4662 0.6430 [2025-03-28 01:13:29,425 INFO hook.py line 689 1202667] sofa : 0.0052 0.0053 [2025-03-28 01:13:29,425 INFO hook.py line 689 1202667] bookcase : 0.2078 0.2241 [2025-03-28 01:13:29,425 INFO hook.py line 689 1202667] board : 0.3514 0.5828 [2025-03-28 01:13:29,425 INFO hook.py line 689 1202667] clutter : 0.2617 0.4026 [2025-03-28 01:13:29,425 INFO hook.py line 690 1202667] ######################################## [2025-03-28 01:13:29,425 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3243/0.4221/0.7237. [2025-03-28 01:13:29,425 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 01:13:29,451 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 01:13:29,451 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 01:14:03,260 INFO hook.py line 566 1202667] Train: [64/100][50/255] Data 0.002 (0.013) Batch 0.128 (0.510) Remain 01:19:44 loss: 1.6950 Lr: 9.81357e-04 [2025-03-28 01:14:24,797 INFO hook.py line 566 1202667] Train: [64/100][100/255] Data 0.002 (0.007) Batch 0.136 (0.469) Remain 01:12:58 loss: 1.7123 Lr: 9.72243e-04 [2025-03-28 01:14:48,575 INFO hook.py line 566 1202667] Train: [64/100][150/255] Data 0.001 (0.020) Batch 0.127 (0.471) Remain 01:12:55 loss: 1.6377 Lr: 9.63151e-04 [2025-03-28 01:15:11,753 INFO hook.py line 566 1202667] Train: [64/100][200/255] Data 0.002 (0.050) Batch 0.134 (0.469) Remain 01:12:13 loss: 1.5525 Lr: 9.54082e-04 [2025-03-28 01:15:33,061 INFO hook.py line 566 1202667] Train: [64/100][250/255] Data 0.000 (0.041) Batch 0.118 (0.461) Remain 01:10:30 loss: 1.7634 Lr: 9.45036e-04 [2025-03-28 01:15:33,629 INFO misc.py line 135 1202667] Train result: loss: 1.6711 [2025-03-28 01:15:33,663 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 01:15:46,820 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.7988 [2025-03-28 01:15:48,564 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5020 [2025-03-28 01:15:48,862 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6729 [2025-03-28 01:15:49,543 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3869 [2025-03-28 01:15:49,813 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6536 [2025-03-28 01:15:50,096 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9110 [2025-03-28 01:15:53,080 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7231 [2025-03-28 01:15:53,545 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0500 [2025-03-28 01:15:53,745 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2872 [2025-03-28 01:15:54,208 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5619 [2025-03-28 01:15:54,412 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6014 [2025-03-28 01:15:54,565 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4643 [2025-03-28 01:15:54,849 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1698 [2025-03-28 01:15:55,470 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7234 [2025-03-28 01:15:55,786 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7531 [2025-03-28 01:15:57,067 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8179 [2025-03-28 01:15:58,312 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6433 [2025-03-28 01:15:59,455 INFO hook.py line 674 1202667] ######################################## [2025-03-28 01:15:59,455 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 01:15:59,455 INFO hook.py line 680 1202667] ######################################## [2025-03-28 01:15:59,455 INFO hook.py line 689 1202667] ceiling : 0.7956 0.9288 [2025-03-28 01:15:59,455 INFO hook.py line 689 1202667] floor : 0.8589 0.9749 [2025-03-28 01:15:59,455 INFO hook.py line 689 1202667] wall : 0.6775 0.9384 [2025-03-28 01:15:59,455 INFO hook.py line 689 1202667] beam : 0.0007 0.0105 [2025-03-28 01:15:59,455 INFO hook.py line 689 1202667] column : 0.0054 0.0058 [2025-03-28 01:15:59,455 INFO hook.py line 689 1202667] window : 0.1528 0.1630 [2025-03-28 01:15:59,455 INFO hook.py line 689 1202667] door : 0.1024 0.1496 [2025-03-28 01:15:59,455 INFO hook.py line 689 1202667] table : 0.3422 0.4746 [2025-03-28 01:15:59,455 INFO hook.py line 689 1202667] chair : 0.4660 0.6549 [2025-03-28 01:15:59,455 INFO hook.py line 689 1202667] sofa : 0.0045 0.0046 [2025-03-28 01:15:59,455 INFO hook.py line 689 1202667] bookcase : 0.2091 0.2257 [2025-03-28 01:15:59,455 INFO hook.py line 689 1202667] board : 0.3553 0.6022 [2025-03-28 01:15:59,455 INFO hook.py line 689 1202667] clutter : 0.2607 0.4020 [2025-03-28 01:15:59,455 INFO hook.py line 690 1202667] ######################################## [2025-03-28 01:15:59,455 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3255/0.4258/0.7238. [2025-03-28 01:15:59,456 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 01:15:59,482 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 01:15:59,482 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 01:16:29,119 INFO hook.py line 566 1202667] Train: [65/100][50/255] Data 0.002 (0.054) Batch 0.144 (0.385) Remain 00:58:32 loss: 2.0273 Lr: 9.35112e-04 [2025-03-28 01:16:53,008 INFO hook.py line 566 1202667] Train: [65/100][100/255] Data 0.003 (0.049) Batch 0.437 (0.433) Remain 01:05:28 loss: 1.7179 Lr: 9.26295e-04 [2025-03-28 01:17:15,818 INFO hook.py line 566 1202667] Train: [65/100][150/255] Data 0.002 (0.072) Batch 0.139 (0.441) Remain 01:06:19 loss: 1.5903 Lr: 9.17321e-04 [2025-03-28 01:17:46,039 INFO hook.py line 566 1202667] Train: [65/100][200/255] Data 0.002 (0.061) Batch 5.452 (0.482) Remain 01:12:10 loss: 1.8047 Lr: 9.08373e-04 [2025-03-28 01:18:02,368 INFO hook.py line 566 1202667] Train: [65/100][250/255] Data 0.000 (0.058) Batch 0.121 (0.451) Remain 01:07:05 loss: 1.8568 Lr: 8.99449e-04 [2025-03-28 01:18:06,702 INFO misc.py line 135 1202667] Train result: loss: 1.6772 [2025-03-28 01:18:06,740 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 01:18:18,610 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8057 [2025-03-28 01:18:20,353 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5093 [2025-03-28 01:18:20,651 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6644 [2025-03-28 01:18:21,336 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3888 [2025-03-28 01:18:21,603 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6606 [2025-03-28 01:18:21,886 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9050 [2025-03-28 01:18:24,870 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7263 [2025-03-28 01:18:25,335 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0475 [2025-03-28 01:18:25,536 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2790 [2025-03-28 01:18:25,999 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5710 [2025-03-28 01:18:26,201 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5974 [2025-03-28 01:18:26,354 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4540 [2025-03-28 01:18:26,638 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1665 [2025-03-28 01:18:27,258 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7216 [2025-03-28 01:18:27,575 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7612 [2025-03-28 01:18:28,855 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8098 [2025-03-28 01:18:30,102 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6433 [2025-03-28 01:18:31,265 INFO hook.py line 674 1202667] ######################################## [2025-03-28 01:18:31,266 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 01:18:31,266 INFO hook.py line 680 1202667] ######################################## [2025-03-28 01:18:31,266 INFO hook.py line 689 1202667] ceiling : 0.7961 0.9285 [2025-03-28 01:18:31,266 INFO hook.py line 689 1202667] floor : 0.8591 0.9746 [2025-03-28 01:18:31,266 INFO hook.py line 689 1202667] wall : 0.6766 0.9387 [2025-03-28 01:18:31,266 INFO hook.py line 689 1202667] beam : 0.0008 0.0099 [2025-03-28 01:18:31,266 INFO hook.py line 689 1202667] column : 0.0043 0.0045 [2025-03-28 01:18:31,266 INFO hook.py line 689 1202667] window : 0.1427 0.1508 [2025-03-28 01:18:31,266 INFO hook.py line 689 1202667] door : 0.1013 0.1466 [2025-03-28 01:18:31,266 INFO hook.py line 689 1202667] table : 0.3433 0.4707 [2025-03-28 01:18:31,266 INFO hook.py line 689 1202667] chair : 0.4649 0.6346 [2025-03-28 01:18:31,266 INFO hook.py line 689 1202667] sofa : 0.0043 0.0045 [2025-03-28 01:18:31,266 INFO hook.py line 689 1202667] bookcase : 0.2076 0.2238 [2025-03-28 01:18:31,266 INFO hook.py line 689 1202667] board : 0.3556 0.6034 [2025-03-28 01:18:31,266 INFO hook.py line 689 1202667] clutter : 0.2644 0.4157 [2025-03-28 01:18:31,266 INFO hook.py line 690 1202667] ######################################## [2025-03-28 01:18:31,266 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3247/0.4236/0.7238. [2025-03-28 01:18:31,267 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 01:18:31,295 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 01:18:31,296 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 01:19:03,385 INFO hook.py line 566 1202667] Train: [66/100][50/255] Data 0.002 (0.002) Batch 0.158 (0.493) Remain 01:12:58 loss: 1.6523 Lr: 8.89662e-04 [2025-03-28 01:19:25,912 INFO hook.py line 566 1202667] Train: [66/100][100/255] Data 0.001 (0.002) Batch 0.142 (0.471) Remain 01:09:18 loss: 1.6787 Lr: 8.80792e-04 [2025-03-28 01:19:51,111 INFO hook.py line 566 1202667] Train: [66/100][150/255] Data 0.002 (0.002) Batch 0.138 (0.482) Remain 01:10:32 loss: 1.7324 Lr: 8.71947e-04 [2025-03-28 01:20:18,050 INFO hook.py line 566 1202667] Train: [66/100][200/255] Data 0.001 (0.025) Batch 0.129 (0.497) Remain 01:12:13 loss: 1.5836 Lr: 8.63129e-04 [2025-03-28 01:20:39,353 INFO hook.py line 566 1202667] Train: [66/100][250/255] Data 0.001 (0.020) Batch 0.114 (0.482) Remain 01:09:44 loss: 1.6588 Lr: 8.54338e-04 [2025-03-28 01:20:39,910 INFO misc.py line 135 1202667] Train result: loss: 1.6526 [2025-03-28 01:20:39,939 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 01:20:53,693 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8093 [2025-03-28 01:20:55,435 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5054 [2025-03-28 01:20:55,733 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6677 [2025-03-28 01:20:56,416 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3901 [2025-03-28 01:20:56,685 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6574 [2025-03-28 01:20:56,967 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9076 [2025-03-28 01:20:59,951 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7329 [2025-03-28 01:21:00,416 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0459 [2025-03-28 01:21:00,618 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2890 [2025-03-28 01:21:01,082 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5713 [2025-03-28 01:21:01,285 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5998 [2025-03-28 01:21:01,439 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4570 [2025-03-28 01:21:01,720 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1644 [2025-03-28 01:21:02,340 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7268 [2025-03-28 01:21:02,656 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7645 [2025-03-28 01:21:03,938 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8107 [2025-03-28 01:21:05,184 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6409 [2025-03-28 01:21:06,422 INFO hook.py line 674 1202667] ######################################## [2025-03-28 01:21:06,423 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 01:21:06,423 INFO hook.py line 680 1202667] ######################################## [2025-03-28 01:21:06,423 INFO hook.py line 689 1202667] ceiling : 0.7958 0.9283 [2025-03-28 01:21:06,423 INFO hook.py line 689 1202667] floor : 0.8580 0.9749 [2025-03-28 01:21:06,424 INFO hook.py line 689 1202667] wall : 0.6764 0.9397 [2025-03-28 01:21:06,424 INFO hook.py line 689 1202667] beam : 0.0009 0.0112 [2025-03-28 01:21:06,424 INFO hook.py line 689 1202667] column : 0.0045 0.0047 [2025-03-28 01:21:06,424 INFO hook.py line 689 1202667] window : 0.1503 0.1596 [2025-03-28 01:21:06,424 INFO hook.py line 689 1202667] door : 0.1017 0.1481 [2025-03-28 01:21:06,424 INFO hook.py line 689 1202667] table : 0.3417 0.4698 [2025-03-28 01:21:06,424 INFO hook.py line 689 1202667] chair : 0.4647 0.6425 [2025-03-28 01:21:06,424 INFO hook.py line 689 1202667] sofa : 0.0051 0.0053 [2025-03-28 01:21:06,424 INFO hook.py line 689 1202667] bookcase : 0.2060 0.2219 [2025-03-28 01:21:06,424 INFO hook.py line 689 1202667] board : 0.3612 0.5951 [2025-03-28 01:21:06,424 INFO hook.py line 689 1202667] clutter : 0.2626 0.4093 [2025-03-28 01:21:06,425 INFO hook.py line 690 1202667] ######################################## [2025-03-28 01:21:06,425 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3253/0.4239/0.7237. [2025-03-28 01:21:06,426 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 01:21:06,455 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 01:21:06,456 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 01:21:41,762 INFO hook.py line 566 1202667] Train: [67/100][50/255] Data 0.001 (0.181) Batch 0.129 (0.599) Remain 01:26:00 loss: 1.8233 Lr: 8.44699e-04 [2025-03-28 01:22:01,363 INFO hook.py line 566 1202667] Train: [67/100][100/255] Data 0.002 (0.172) Batch 0.147 (0.492) Remain 01:10:17 loss: 1.6580 Lr: 8.35966e-04 [2025-03-28 01:22:22,479 INFO hook.py line 566 1202667] Train: [67/100][150/255] Data 0.328 (0.168) Batch 0.437 (0.468) Remain 01:06:30 loss: 1.8414 Lr: 8.27260e-04 [2025-03-28 01:22:44,694 INFO hook.py line 566 1202667] Train: [67/100][200/255] Data 0.002 (0.145) Batch 0.183 (0.462) Remain 01:05:15 loss: 1.3885 Lr: 8.18583e-04 [2025-03-28 01:23:07,184 INFO hook.py line 566 1202667] Train: [67/100][250/255] Data 0.001 (0.116) Batch 0.803 (0.460) Remain 01:04:31 loss: 1.6750 Lr: 8.09934e-04 [2025-03-28 01:23:07,766 INFO misc.py line 135 1202667] Train result: loss: 1.6786 [2025-03-28 01:23:07,793 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 01:23:21,155 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8097 [2025-03-28 01:23:22,899 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.4999 [2025-03-28 01:23:23,196 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6702 [2025-03-28 01:23:23,881 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3890 [2025-03-28 01:23:24,149 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6548 [2025-03-28 01:23:24,431 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9029 [2025-03-28 01:23:27,418 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7234 [2025-03-28 01:23:27,882 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0383 [2025-03-28 01:23:28,082 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2781 [2025-03-28 01:23:28,546 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5673 [2025-03-28 01:23:28,748 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5990 [2025-03-28 01:23:28,902 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4531 [2025-03-28 01:23:29,186 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1703 [2025-03-28 01:23:29,804 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7225 [2025-03-28 01:23:30,121 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7595 [2025-03-28 01:23:31,404 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8119 [2025-03-28 01:23:32,647 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6375 [2025-03-28 01:23:33,803 INFO hook.py line 674 1202667] ######################################## [2025-03-28 01:23:33,803 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 01:23:33,803 INFO hook.py line 680 1202667] ######################################## [2025-03-28 01:23:33,803 INFO hook.py line 689 1202667] ceiling : 0.7956 0.9286 [2025-03-28 01:23:33,803 INFO hook.py line 689 1202667] floor : 0.8588 0.9749 [2025-03-28 01:23:33,803 INFO hook.py line 689 1202667] wall : 0.6762 0.9400 [2025-03-28 01:23:33,803 INFO hook.py line 689 1202667] beam : 0.0007 0.0083 [2025-03-28 01:23:33,803 INFO hook.py line 689 1202667] column : 0.0046 0.0048 [2025-03-28 01:23:33,803 INFO hook.py line 689 1202667] window : 0.1473 0.1562 [2025-03-28 01:23:33,803 INFO hook.py line 689 1202667] door : 0.1016 0.1485 [2025-03-28 01:23:33,803 INFO hook.py line 689 1202667] table : 0.3419 0.4698 [2025-03-28 01:23:33,803 INFO hook.py line 689 1202667] chair : 0.4653 0.6431 [2025-03-28 01:23:33,803 INFO hook.py line 689 1202667] sofa : 0.0044 0.0045 [2025-03-28 01:23:33,804 INFO hook.py line 689 1202667] bookcase : 0.2052 0.2208 [2025-03-28 01:23:33,804 INFO hook.py line 689 1202667] board : 0.3549 0.5858 [2025-03-28 01:23:33,804 INFO hook.py line 689 1202667] clutter : 0.2629 0.4098 [2025-03-28 01:23:33,804 INFO hook.py line 690 1202667] ######################################## [2025-03-28 01:23:33,804 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3246/0.4227/0.7235. [2025-03-28 01:23:33,804 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 01:23:33,834 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 01:23:33,835 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 01:24:03,413 INFO hook.py line 566 1202667] Train: [68/100][50/255] Data 0.004 (0.084) Batch 0.163 (0.447) Remain 01:02:20 loss: 1.6204 Lr: 8.00454e-04 [2025-03-28 01:24:33,847 INFO hook.py line 566 1202667] Train: [68/100][100/255] Data 0.002 (0.096) Batch 0.128 (0.530) Remain 01:13:30 loss: 1.5131 Lr: 7.91866e-04 [2025-03-28 01:24:55,324 INFO hook.py line 566 1202667] Train: [68/100][150/255] Data 0.001 (0.094) Batch 0.119 (0.496) Remain 01:08:20 loss: 1.6535 Lr: 7.83309e-04 [2025-03-28 01:25:14,355 INFO hook.py line 566 1202667] Train: [68/100][200/255] Data 0.003 (0.082) Batch 0.131 (0.467) Remain 01:03:54 loss: 1.6337 Lr: 7.74781e-04 [2025-03-28 01:25:37,191 INFO hook.py line 566 1202667] Train: [68/100][250/255] Data 0.002 (0.108) Batch 0.118 (0.465) Remain 01:03:14 loss: 1.3874 Lr: 7.66284e-04 [2025-03-28 01:25:39,254 INFO misc.py line 135 1202667] Train result: loss: 1.6646 [2025-03-28 01:25:39,285 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 01:25:53,177 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8119 [2025-03-28 01:25:54,920 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5112 [2025-03-28 01:25:55,217 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6700 [2025-03-28 01:25:55,900 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3909 [2025-03-28 01:25:56,169 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6599 [2025-03-28 01:25:56,452 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9018 [2025-03-28 01:25:59,443 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7249 [2025-03-28 01:25:59,908 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0386 [2025-03-28 01:26:00,109 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2839 [2025-03-28 01:26:00,571 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5721 [2025-03-28 01:26:00,773 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6042 [2025-03-28 01:26:00,926 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4587 [2025-03-28 01:26:01,209 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1656 [2025-03-28 01:26:01,828 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7266 [2025-03-28 01:26:02,144 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7637 [2025-03-28 01:26:03,429 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8155 [2025-03-28 01:26:04,674 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6340 [2025-03-28 01:26:05,813 INFO hook.py line 674 1202667] ######################################## [2025-03-28 01:26:05,814 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 01:26:05,814 INFO hook.py line 680 1202667] ######################################## [2025-03-28 01:26:05,814 INFO hook.py line 689 1202667] ceiling : 0.7960 0.9288 [2025-03-28 01:26:05,814 INFO hook.py line 689 1202667] floor : 0.8576 0.9748 [2025-03-28 01:26:05,814 INFO hook.py line 689 1202667] wall : 0.6764 0.9396 [2025-03-28 01:26:05,814 INFO hook.py line 689 1202667] beam : 0.0007 0.0093 [2025-03-28 01:26:05,814 INFO hook.py line 689 1202667] column : 0.0043 0.0045 [2025-03-28 01:26:05,814 INFO hook.py line 689 1202667] window : 0.1435 0.1516 [2025-03-28 01:26:05,814 INFO hook.py line 689 1202667] door : 0.1020 0.1496 [2025-03-28 01:26:05,814 INFO hook.py line 689 1202667] table : 0.3390 0.4630 [2025-03-28 01:26:05,814 INFO hook.py line 689 1202667] chair : 0.4651 0.6418 [2025-03-28 01:26:05,814 INFO hook.py line 689 1202667] sofa : 0.0038 0.0039 [2025-03-28 01:26:05,814 INFO hook.py line 689 1202667] bookcase : 0.2045 0.2199 [2025-03-28 01:26:05,814 INFO hook.py line 689 1202667] board : 0.3560 0.5966 [2025-03-28 01:26:05,814 INFO hook.py line 689 1202667] clutter : 0.2632 0.4119 [2025-03-28 01:26:05,814 INFO hook.py line 690 1202667] ######################################## [2025-03-28 01:26:05,814 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3240/0.4227/0.7233. [2025-03-28 01:26:05,815 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 01:26:05,844 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 01:26:05,844 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 01:26:35,158 INFO hook.py line 566 1202667] Train: [69/100][50/255] Data 0.002 (0.002) Batch 2.204 (0.426) Remain 00:57:31 loss: 1.7943 Lr: 7.56973e-04 [2025-03-28 01:26:56,134 INFO hook.py line 566 1202667] Train: [69/100][100/255] Data 0.002 (0.019) Batch 0.147 (0.422) Remain 00:56:45 loss: 1.7442 Lr: 7.48541e-04 [2025-03-28 01:27:22,437 INFO hook.py line 566 1202667] Train: [69/100][150/255] Data 0.001 (0.061) Batch 0.136 (0.458) Remain 01:01:06 loss: 1.7769 Lr: 7.40141e-04 [2025-03-28 01:27:42,469 INFO hook.py line 566 1202667] Train: [69/100][200/255] Data 0.003 (0.071) Batch 0.143 (0.443) Remain 00:58:48 loss: 1.6641 Lr: 7.31773e-04 [2025-03-28 01:28:05,122 INFO hook.py line 566 1202667] Train: [69/100][250/255] Data 0.000 (0.057) Batch 0.694 (0.445) Remain 00:58:41 loss: 1.8324 Lr: 7.23437e-04 [2025-03-28 01:28:06,098 INFO misc.py line 135 1202667] Train result: loss: 1.6600 [2025-03-28 01:28:06,134 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 01:28:17,562 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.7983 [2025-03-28 01:28:20,102 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.4972 [2025-03-28 01:28:20,400 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6665 [2025-03-28 01:28:21,086 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3842 [2025-03-28 01:28:21,355 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6502 [2025-03-28 01:28:21,638 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9103 [2025-03-28 01:28:24,621 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7200 [2025-03-28 01:28:25,088 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0469 [2025-03-28 01:28:25,288 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2762 [2025-03-28 01:28:25,754 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5647 [2025-03-28 01:28:25,959 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5993 [2025-03-28 01:28:26,112 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4556 [2025-03-28 01:28:26,396 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1566 [2025-03-28 01:28:27,019 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7240 [2025-03-28 01:28:27,336 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7601 [2025-03-28 01:28:28,623 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8124 [2025-03-28 01:28:29,866 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6420 [2025-03-28 01:28:30,871 INFO hook.py line 674 1202667] ######################################## [2025-03-28 01:28:30,871 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 01:28:30,871 INFO hook.py line 680 1202667] ######################################## [2025-03-28 01:28:30,871 INFO hook.py line 689 1202667] ceiling : 0.7957 0.9289 [2025-03-28 01:28:30,872 INFO hook.py line 689 1202667] floor : 0.8593 0.9748 [2025-03-28 01:28:30,872 INFO hook.py line 689 1202667] wall : 0.6777 0.9390 [2025-03-28 01:28:30,872 INFO hook.py line 689 1202667] beam : 0.0008 0.0103 [2025-03-28 01:28:30,872 INFO hook.py line 689 1202667] column : 0.0050 0.0053 [2025-03-28 01:28:30,872 INFO hook.py line 689 1202667] window : 0.1465 0.1555 [2025-03-28 01:28:30,872 INFO hook.py line 689 1202667] door : 0.1031 0.1519 [2025-03-28 01:28:30,872 INFO hook.py line 689 1202667] table : 0.3434 0.4740 [2025-03-28 01:28:30,872 INFO hook.py line 689 1202667] chair : 0.4654 0.6463 [2025-03-28 01:28:30,872 INFO hook.py line 689 1202667] sofa : 0.0047 0.0048 [2025-03-28 01:28:30,872 INFO hook.py line 689 1202667] bookcase : 0.2102 0.2273 [2025-03-28 01:28:30,872 INFO hook.py line 689 1202667] board : 0.3552 0.6033 [2025-03-28 01:28:30,872 INFO hook.py line 689 1202667] clutter : 0.2618 0.4044 [2025-03-28 01:28:30,872 INFO hook.py line 690 1202667] ######################################## [2025-03-28 01:28:30,872 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3253/0.4251/0.7240. [2025-03-28 01:28:30,873 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 01:28:30,901 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 01:28:30,901 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 01:29:01,902 INFO hook.py line 566 1202667] Train: [70/100][50/255] Data 0.002 (0.163) Batch 0.139 (0.454) Remain 00:59:27 loss: 1.5691 Lr: 7.14305e-04 [2025-03-28 01:29:26,242 INFO hook.py line 566 1202667] Train: [70/100][100/255] Data 0.003 (0.084) Batch 0.123 (0.471) Remain 01:01:16 loss: 1.5139 Lr: 7.06038e-04 [2025-03-28 01:29:46,470 INFO hook.py line 566 1202667] Train: [70/100][150/255] Data 0.002 (0.056) Batch 0.150 (0.448) Remain 00:57:57 loss: 1.7500 Lr: 6.97804e-04 [2025-03-28 01:30:09,030 INFO hook.py line 566 1202667] Train: [70/100][200/255] Data 0.002 (0.044) Batch 0.133 (0.449) Remain 00:57:40 loss: 1.6222 Lr: 6.89605e-04 [2025-03-28 01:30:29,499 INFO hook.py line 566 1202667] Train: [70/100][250/255] Data 0.000 (0.035) Batch 0.114 (0.441) Remain 00:56:16 loss: 1.6047 Lr: 6.81439e-04 [2025-03-28 01:30:30,716 INFO misc.py line 135 1202667] Train result: loss: 1.6608 [2025-03-28 01:30:30,746 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 01:30:42,519 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8096 [2025-03-28 01:30:44,719 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5100 [2025-03-28 01:30:45,019 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6770 [2025-03-28 01:30:45,705 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3903 [2025-03-28 01:30:45,975 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6545 [2025-03-28 01:30:46,257 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9029 [2025-03-28 01:30:49,239 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7264 [2025-03-28 01:30:49,703 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0440 [2025-03-28 01:30:49,904 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2865 [2025-03-28 01:30:50,366 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5695 [2025-03-28 01:30:50,568 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5965 [2025-03-28 01:30:50,722 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4577 [2025-03-28 01:30:51,006 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1753 [2025-03-28 01:30:51,628 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7250 [2025-03-28 01:30:51,945 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7662 [2025-03-28 01:30:53,229 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8155 [2025-03-28 01:30:54,474 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6370 [2025-03-28 01:30:55,625 INFO hook.py line 674 1202667] ######################################## [2025-03-28 01:30:55,625 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 01:30:55,625 INFO hook.py line 680 1202667] ######################################## [2025-03-28 01:30:55,625 INFO hook.py line 689 1202667] ceiling : 0.7957 0.9286 [2025-03-28 01:30:55,625 INFO hook.py line 689 1202667] floor : 0.8585 0.9749 [2025-03-28 01:30:55,625 INFO hook.py line 689 1202667] wall : 0.6765 0.9396 [2025-03-28 01:30:55,625 INFO hook.py line 689 1202667] beam : 0.0007 0.0092 [2025-03-28 01:30:55,626 INFO hook.py line 689 1202667] column : 0.0043 0.0046 [2025-03-28 01:30:55,626 INFO hook.py line 689 1202667] window : 0.1449 0.1533 [2025-03-28 01:30:55,626 INFO hook.py line 689 1202667] door : 0.1018 0.1499 [2025-03-28 01:30:55,626 INFO hook.py line 689 1202667] table : 0.3418 0.4722 [2025-03-28 01:30:55,626 INFO hook.py line 689 1202667] chair : 0.4659 0.6417 [2025-03-28 01:30:55,626 INFO hook.py line 689 1202667] sofa : 0.0047 0.0048 [2025-03-28 01:30:55,626 INFO hook.py line 689 1202667] bookcase : 0.2032 0.2184 [2025-03-28 01:30:55,626 INFO hook.py line 689 1202667] board : 0.3562 0.5904 [2025-03-28 01:30:55,626 INFO hook.py line 689 1202667] clutter : 0.2632 0.4108 [2025-03-28 01:30:55,626 INFO hook.py line 690 1202667] ######################################## [2025-03-28 01:30:55,626 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3244/0.4230/0.7233. [2025-03-28 01:30:55,628 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 01:30:55,658 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 01:30:55,659 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 01:31:24,490 INFO hook.py line 566 1202667] Train: [71/100][50/255] Data 0.002 (0.065) Batch 0.158 (0.370) Remain 00:46:50 loss: 1.6311 Lr: 6.72496e-04 [2025-03-28 01:31:53,816 INFO hook.py line 566 1202667] Train: [71/100][100/255] Data 0.002 (0.033) Batch 0.130 (0.481) Remain 01:00:35 loss: 1.7021 Lr: 6.64403e-04 [2025-03-28 01:32:13,998 INFO hook.py line 566 1202667] Train: [71/100][150/255] Data 0.002 (0.022) Batch 2.370 (0.455) Remain 00:56:52 loss: 1.8590 Lr: 6.56345e-04 [2025-03-28 01:32:39,521 INFO hook.py line 566 1202667] Train: [71/100][200/255] Data 0.002 (0.098) Batch 1.640 (0.469) Remain 00:58:14 loss: 1.6902 Lr: 6.48323e-04 [2025-03-28 01:33:00,772 INFO hook.py line 566 1202667] Train: [71/100][250/255] Data 0.000 (0.078) Batch 0.117 (0.460) Remain 00:56:45 loss: 1.6180 Lr: 6.40336e-04 [2025-03-28 01:33:01,347 INFO misc.py line 135 1202667] Train result: loss: 1.6660 [2025-03-28 01:33:01,377 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 01:33:13,470 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8089 [2025-03-28 01:33:15,901 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5107 [2025-03-28 01:33:16,198 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6747 [2025-03-28 01:33:16,880 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3930 [2025-03-28 01:33:17,151 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6619 [2025-03-28 01:33:17,432 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9005 [2025-03-28 01:33:20,415 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7329 [2025-03-28 01:33:20,879 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0358 [2025-03-28 01:33:21,081 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2825 [2025-03-28 01:33:21,543 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5746 [2025-03-28 01:33:21,748 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6079 [2025-03-28 01:33:21,902 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4527 [2025-03-28 01:33:22,185 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1627 [2025-03-28 01:33:22,806 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7275 [2025-03-28 01:33:23,123 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7743 [2025-03-28 01:33:24,408 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8187 [2025-03-28 01:33:25,651 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6305 [2025-03-28 01:33:26,713 INFO hook.py line 674 1202667] ######################################## [2025-03-28 01:33:26,713 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 01:33:26,713 INFO hook.py line 680 1202667] ######################################## [2025-03-28 01:33:26,713 INFO hook.py line 689 1202667] ceiling : 0.7959 0.9289 [2025-03-28 01:33:26,713 INFO hook.py line 689 1202667] floor : 0.8587 0.9747 [2025-03-28 01:33:26,713 INFO hook.py line 689 1202667] wall : 0.6755 0.9411 [2025-03-28 01:33:26,713 INFO hook.py line 689 1202667] beam : 0.0006 0.0074 [2025-03-28 01:33:26,713 INFO hook.py line 689 1202667] column : 0.0037 0.0039 [2025-03-28 01:33:26,714 INFO hook.py line 689 1202667] window : 0.1423 0.1504 [2025-03-28 01:33:26,714 INFO hook.py line 689 1202667] door : 0.1021 0.1509 [2025-03-28 01:33:26,714 INFO hook.py line 689 1202667] table : 0.3416 0.4688 [2025-03-28 01:33:26,714 INFO hook.py line 689 1202667] chair : 0.4635 0.6372 [2025-03-28 01:33:26,714 INFO hook.py line 689 1202667] sofa : 0.0047 0.0048 [2025-03-28 01:33:26,714 INFO hook.py line 689 1202667] bookcase : 0.2024 0.2173 [2025-03-28 01:33:26,714 INFO hook.py line 689 1202667] board : 0.3542 0.5855 [2025-03-28 01:33:26,714 INFO hook.py line 689 1202667] clutter : 0.2627 0.4090 [2025-03-28 01:33:26,714 INFO hook.py line 690 1202667] ######################################## [2025-03-28 01:33:26,714 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3237/0.4215/0.7232. [2025-03-28 01:33:26,714 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 01:33:26,741 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 01:33:26,741 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 01:33:55,913 INFO hook.py line 566 1202667] Train: [72/100][50/255] Data 0.521 (0.122) Batch 0.637 (0.416) Remain 00:50:55 loss: 1.7269 Lr: 6.31593e-04 [2025-03-28 01:34:22,353 INFO hook.py line 566 1202667] Train: [72/100][100/255] Data 0.001 (0.144) Batch 0.130 (0.474) Remain 00:57:38 loss: 1.9109 Lr: 6.23682e-04 [2025-03-28 01:34:42,523 INFO hook.py line 566 1202667] Train: [72/100][150/255] Data 0.002 (0.180) Batch 0.144 (0.450) Remain 00:54:20 loss: 1.5710 Lr: 6.15809e-04 [2025-03-28 01:35:08,292 INFO hook.py line 566 1202667] Train: [72/100][200/255] Data 0.002 (0.187) Batch 2.418 (0.467) Remain 00:55:57 loss: 1.8002 Lr: 6.07972e-04 [2025-03-28 01:35:26,339 INFO hook.py line 566 1202667] Train: [72/100][250/255] Data 0.001 (0.154) Batch 0.118 (0.445) Remain 00:53:01 loss: 1.5599 Lr: 6.00174e-04 [2025-03-28 01:35:29,041 INFO misc.py line 135 1202667] Train result: loss: 1.6716 [2025-03-28 01:35:29,073 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 01:35:40,513 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8032 [2025-03-28 01:35:42,260 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5012 [2025-03-28 01:35:42,559 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6684 [2025-03-28 01:35:43,244 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3891 [2025-03-28 01:35:43,513 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6530 [2025-03-28 01:35:43,794 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9045 [2025-03-28 01:35:46,776 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7182 [2025-03-28 01:35:47,242 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0402 [2025-03-28 01:35:47,444 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2797 [2025-03-28 01:35:47,905 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5663 [2025-03-28 01:35:48,109 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5952 [2025-03-28 01:35:48,263 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4539 [2025-03-28 01:35:48,547 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1604 [2025-03-28 01:35:49,166 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7238 [2025-03-28 01:35:49,483 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7556 [2025-03-28 01:35:50,767 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8143 [2025-03-28 01:35:52,013 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6345 [2025-03-28 01:35:53,050 INFO hook.py line 674 1202667] ######################################## [2025-03-28 01:35:53,050 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 01:35:53,050 INFO hook.py line 680 1202667] ######################################## [2025-03-28 01:35:53,050 INFO hook.py line 689 1202667] ceiling : 0.7962 0.9291 [2025-03-28 01:35:53,050 INFO hook.py line 689 1202667] floor : 0.8592 0.9746 [2025-03-28 01:35:53,050 INFO hook.py line 689 1202667] wall : 0.6765 0.9400 [2025-03-28 01:35:53,050 INFO hook.py line 689 1202667] beam : 0.0007 0.0091 [2025-03-28 01:35:53,050 INFO hook.py line 689 1202667] column : 0.0045 0.0047 [2025-03-28 01:35:53,050 INFO hook.py line 689 1202667] window : 0.1454 0.1541 [2025-03-28 01:35:53,050 INFO hook.py line 689 1202667] door : 0.1017 0.1489 [2025-03-28 01:35:53,050 INFO hook.py line 689 1202667] table : 0.3434 0.4717 [2025-03-28 01:35:53,050 INFO hook.py line 689 1202667] chair : 0.4656 0.6423 [2025-03-28 01:35:53,050 INFO hook.py line 689 1202667] sofa : 0.0047 0.0048 [2025-03-28 01:35:53,050 INFO hook.py line 689 1202667] bookcase : 0.2096 0.2263 [2025-03-28 01:35:53,050 INFO hook.py line 689 1202667] board : 0.3552 0.5930 [2025-03-28 01:35:53,050 INFO hook.py line 689 1202667] clutter : 0.2620 0.4064 [2025-03-28 01:35:53,050 INFO hook.py line 690 1202667] ######################################## [2025-03-28 01:35:53,050 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3250/0.4235/0.7240. [2025-03-28 01:35:53,052 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 01:35:53,079 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 01:35:53,079 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 01:36:23,877 INFO hook.py line 566 1202667] Train: [73/100][50/255] Data 0.002 (0.009) Batch 0.628 (0.428) Remain 00:50:36 loss: 1.5460 Lr: 5.91793e-04 [2025-03-28 01:36:49,198 INFO hook.py line 566 1202667] Train: [73/100][100/255] Data 0.002 (0.028) Batch 0.150 (0.469) Remain 00:54:58 loss: 1.6979 Lr: 5.84074e-04 [2025-03-28 01:37:13,006 INFO hook.py line 566 1202667] Train: [73/100][150/255] Data 0.002 (0.060) Batch 0.124 (0.471) Remain 00:54:53 loss: 1.7335 Lr: 5.76393e-04 [2025-03-28 01:37:33,840 INFO hook.py line 566 1202667] Train: [73/100][200/255] Data 0.002 (0.060) Batch 0.144 (0.457) Remain 00:52:53 loss: 1.6492 Lr: 5.68750e-04 [2025-03-28 01:37:54,238 INFO hook.py line 566 1202667] Train: [73/100][250/255] Data 0.000 (0.070) Batch 0.111 (0.447) Remain 00:51:22 loss: 1.6986 Lr: 5.61147e-04 [2025-03-28 01:37:54,822 INFO misc.py line 135 1202667] Train result: loss: 1.6623 [2025-03-28 01:37:54,869 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 01:38:08,357 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8037 [2025-03-28 01:38:10,096 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5049 [2025-03-28 01:38:10,396 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6705 [2025-03-28 01:38:11,080 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3879 [2025-03-28 01:38:11,350 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6595 [2025-03-28 01:38:11,631 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9086 [2025-03-28 01:38:14,611 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7277 [2025-03-28 01:38:15,076 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0446 [2025-03-28 01:38:15,277 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2833 [2025-03-28 01:38:15,740 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5677 [2025-03-28 01:38:15,941 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5985 [2025-03-28 01:38:16,095 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4533 [2025-03-28 01:38:16,379 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1630 [2025-03-28 01:38:16,996 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7210 [2025-03-28 01:38:17,312 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7612 [2025-03-28 01:38:18,598 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8157 [2025-03-28 01:38:19,843 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6378 [2025-03-28 01:38:20,987 INFO hook.py line 674 1202667] ######################################## [2025-03-28 01:38:20,987 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 01:38:20,987 INFO hook.py line 680 1202667] ######################################## [2025-03-28 01:38:20,987 INFO hook.py line 689 1202667] ceiling : 0.7959 0.9286 [2025-03-28 01:38:20,987 INFO hook.py line 689 1202667] floor : 0.8587 0.9747 [2025-03-28 01:38:20,987 INFO hook.py line 689 1202667] wall : 0.6765 0.9397 [2025-03-28 01:38:20,987 INFO hook.py line 689 1202667] beam : 0.0008 0.0114 [2025-03-28 01:38:20,987 INFO hook.py line 689 1202667] column : 0.0047 0.0050 [2025-03-28 01:38:20,987 INFO hook.py line 689 1202667] window : 0.1472 0.1562 [2025-03-28 01:38:20,987 INFO hook.py line 689 1202667] door : 0.1023 0.1503 [2025-03-28 01:38:20,988 INFO hook.py line 689 1202667] table : 0.3422 0.4727 [2025-03-28 01:38:20,988 INFO hook.py line 689 1202667] chair : 0.4644 0.6485 [2025-03-28 01:38:20,988 INFO hook.py line 689 1202667] sofa : 0.0046 0.0047 [2025-03-28 01:38:20,988 INFO hook.py line 689 1202667] bookcase : 0.2061 0.2220 [2025-03-28 01:38:20,988 INFO hook.py line 689 1202667] board : 0.3533 0.5909 [2025-03-28 01:38:20,988 INFO hook.py line 689 1202667] clutter : 0.2614 0.4048 [2025-03-28 01:38:20,988 INFO hook.py line 690 1202667] ######################################## [2025-03-28 01:38:20,988 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3245/0.4238/0.7234. [2025-03-28 01:38:20,988 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 01:38:21,016 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 01:38:21,016 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 01:38:54,835 INFO hook.py line 566 1202667] Train: [74/100][50/255] Data 0.002 (0.127) Batch 4.254 (0.530) Remain 01:00:24 loss: 1.6383 Lr: 5.52829e-04 [2025-03-28 01:39:12,896 INFO hook.py line 566 1202667] Train: [74/100][100/255] Data 0.001 (0.062) Batch 0.134 (0.443) Remain 00:50:06 loss: 1.6688 Lr: 5.45309e-04 [2025-03-28 01:39:38,563 INFO hook.py line 566 1202667] Train: [74/100][150/255] Data 0.002 (0.046) Batch 0.149 (0.467) Remain 00:52:25 loss: 1.6384 Lr: 5.37829e-04 [2025-03-28 01:40:03,341 INFO hook.py line 566 1202667] Train: [74/100][200/255] Data 0.001 (0.037) Batch 0.134 (0.474) Remain 00:52:50 loss: 1.7000 Lr: 5.30390e-04 [2025-03-28 01:40:24,124 INFO hook.py line 566 1202667] Train: [74/100][250/255] Data 0.001 (0.082) Batch 0.109 (0.462) Remain 00:51:07 loss: 1.6406 Lr: 5.22991e-04 [2025-03-28 01:40:25,466 INFO misc.py line 135 1202667] Train result: loss: 1.6609 [2025-03-28 01:40:25,498 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 01:40:37,552 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.7975 [2025-03-28 01:40:40,374 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5048 [2025-03-28 01:40:40,672 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6712 [2025-03-28 01:40:41,358 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3882 [2025-03-28 01:40:41,627 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6522 [2025-03-28 01:40:41,909 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9048 [2025-03-28 01:40:44,896 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7146 [2025-03-28 01:40:45,361 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0425 [2025-03-28 01:40:45,563 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2861 [2025-03-28 01:40:46,025 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5649 [2025-03-28 01:40:46,228 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5937 [2025-03-28 01:40:46,380 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4593 [2025-03-28 01:40:46,663 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1637 [2025-03-28 01:40:47,282 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7221 [2025-03-28 01:40:47,598 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7569 [2025-03-28 01:40:48,882 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8149 [2025-03-28 01:40:50,127 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6409 [2025-03-28 01:40:51,193 INFO hook.py line 674 1202667] ######################################## [2025-03-28 01:40:51,193 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 01:40:51,193 INFO hook.py line 680 1202667] ######################################## [2025-03-28 01:40:51,193 INFO hook.py line 689 1202667] ceiling : 0.7964 0.9289 [2025-03-28 01:40:51,193 INFO hook.py line 689 1202667] floor : 0.8592 0.9747 [2025-03-28 01:40:51,193 INFO hook.py line 689 1202667] wall : 0.6780 0.9385 [2025-03-28 01:40:51,193 INFO hook.py line 689 1202667] beam : 0.0008 0.0107 [2025-03-28 01:40:51,193 INFO hook.py line 689 1202667] column : 0.0052 0.0056 [2025-03-28 01:40:51,193 INFO hook.py line 689 1202667] window : 0.1466 0.1553 [2025-03-28 01:40:51,193 INFO hook.py line 689 1202667] door : 0.1034 0.1522 [2025-03-28 01:40:51,193 INFO hook.py line 689 1202667] table : 0.3429 0.4720 [2025-03-28 01:40:51,193 INFO hook.py line 689 1202667] chair : 0.4650 0.6478 [2025-03-28 01:40:51,193 INFO hook.py line 689 1202667] sofa : 0.0047 0.0049 [2025-03-28 01:40:51,193 INFO hook.py line 689 1202667] bookcase : 0.2104 0.2273 [2025-03-28 01:40:51,193 INFO hook.py line 689 1202667] board : 0.3526 0.5999 [2025-03-28 01:40:51,193 INFO hook.py line 689 1202667] clutter : 0.2621 0.4074 [2025-03-28 01:40:51,193 INFO hook.py line 690 1202667] ######################################## [2025-03-28 01:40:51,193 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3252/0.4250/0.7240. [2025-03-28 01:40:51,194 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 01:40:51,221 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 01:40:51,221 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 01:41:21,436 INFO hook.py line 566 1202667] Train: [75/100][50/255] Data 0.002 (0.108) Batch 0.140 (0.407) Remain 00:44:40 loss: 1.7879 Lr: 5.14900e-04 [2025-03-28 01:41:47,167 INFO hook.py line 566 1202667] Train: [75/100][100/255] Data 3.935 (0.175) Batch 4.091 (0.463) Remain 00:50:21 loss: 1.5832 Lr: 5.07589e-04 [2025-03-28 01:42:08,842 INFO hook.py line 566 1202667] Train: [75/100][150/255] Data 0.002 (0.145) Batch 1.066 (0.453) Remain 00:48:53 loss: 1.6449 Lr: 5.00318e-04 [2025-03-28 01:42:33,947 INFO hook.py line 566 1202667] Train: [75/100][200/255] Data 0.001 (0.108) Batch 0.124 (0.465) Remain 00:49:51 loss: 1.6767 Lr: 4.93090e-04 [2025-03-28 01:42:51,926 INFO hook.py line 566 1202667] Train: [75/100][250/255] Data 0.002 (0.087) Batch 0.120 (0.444) Remain 00:47:11 loss: 1.6351 Lr: 4.85904e-04 [2025-03-28 01:42:53,874 INFO misc.py line 135 1202667] Train result: loss: 1.6772 [2025-03-28 01:42:53,906 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 01:43:07,253 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8002 [2025-03-28 01:43:08,996 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5012 [2025-03-28 01:43:09,292 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6649 [2025-03-28 01:43:09,976 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3886 [2025-03-28 01:43:10,243 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6525 [2025-03-28 01:43:10,526 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9031 [2025-03-28 01:43:13,512 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7156 [2025-03-28 01:43:13,974 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0441 [2025-03-28 01:43:14,174 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2875 [2025-03-28 01:43:14,637 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5664 [2025-03-28 01:43:14,839 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5945 [2025-03-28 01:43:14,993 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4566 [2025-03-28 01:43:15,277 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1590 [2025-03-28 01:43:15,895 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7231 [2025-03-28 01:43:16,213 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7571 [2025-03-28 01:43:17,498 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8136 [2025-03-28 01:43:18,743 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6398 [2025-03-28 01:43:19,793 INFO hook.py line 674 1202667] ######################################## [2025-03-28 01:43:19,793 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 01:43:19,793 INFO hook.py line 680 1202667] ######################################## [2025-03-28 01:43:19,793 INFO hook.py line 689 1202667] ceiling : 0.7962 0.9285 [2025-03-28 01:43:19,793 INFO hook.py line 689 1202667] floor : 0.8582 0.9749 [2025-03-28 01:43:19,793 INFO hook.py line 689 1202667] wall : 0.6779 0.9384 [2025-03-28 01:43:19,793 INFO hook.py line 689 1202667] beam : 0.0007 0.0091 [2025-03-28 01:43:19,793 INFO hook.py line 689 1202667] column : 0.0048 0.0051 [2025-03-28 01:43:19,793 INFO hook.py line 689 1202667] window : 0.1457 0.1540 [2025-03-28 01:43:19,793 INFO hook.py line 689 1202667] door : 0.1029 0.1512 [2025-03-28 01:43:19,793 INFO hook.py line 689 1202667] table : 0.3417 0.4695 [2025-03-28 01:43:19,793 INFO hook.py line 689 1202667] chair : 0.4659 0.6409 [2025-03-28 01:43:19,793 INFO hook.py line 689 1202667] sofa : 0.0045 0.0046 [2025-03-28 01:43:19,793 INFO hook.py line 689 1202667] bookcase : 0.2079 0.2242 [2025-03-28 01:43:19,793 INFO hook.py line 689 1202667] board : 0.3559 0.6066 [2025-03-28 01:43:19,793 INFO hook.py line 689 1202667] clutter : 0.2632 0.4112 [2025-03-28 01:43:19,793 INFO hook.py line 690 1202667] ######################################## [2025-03-28 01:43:19,793 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3250/0.4245/0.7237. [2025-03-28 01:43:19,794 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 01:43:19,822 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 01:43:19,822 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 01:43:46,536 INFO hook.py line 566 1202667] Train: [76/100][50/255] Data 0.001 (0.137) Batch 0.146 (0.391) Remain 00:41:12 loss: 1.6571 Lr: 4.78049e-04 [2025-03-28 01:44:15,482 INFO hook.py line 566 1202667] Train: [76/100][100/255] Data 0.002 (0.151) Batch 0.136 (0.488) Remain 00:51:01 loss: 1.5734 Lr: 4.70953e-04 [2025-03-28 01:44:35,119 INFO hook.py line 566 1202667] Train: [76/100][150/255] Data 0.003 (0.174) Batch 0.124 (0.455) Remain 00:47:15 loss: 1.6534 Lr: 4.63901e-04 [2025-03-28 01:45:01,121 INFO hook.py line 566 1202667] Train: [76/100][200/255] Data 1.155 (0.188) Batch 2.871 (0.472) Remain 00:48:33 loss: 1.5778 Lr: 4.56892e-04 [2025-03-28 01:45:23,342 INFO hook.py line 566 1202667] Train: [76/100][250/255] Data 0.001 (0.158) Batch 0.121 (0.466) Remain 00:47:36 loss: 1.6735 Lr: 4.49926e-04 [2025-03-28 01:45:23,912 INFO misc.py line 135 1202667] Train result: loss: 1.6645 [2025-03-28 01:45:23,941 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 01:45:36,475 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8024 [2025-03-28 01:45:38,608 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5029 [2025-03-28 01:45:38,907 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6667 [2025-03-28 01:45:39,588 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3860 [2025-03-28 01:45:39,859 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6585 [2025-03-28 01:45:40,142 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9023 [2025-03-28 01:45:43,132 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7245 [2025-03-28 01:45:43,595 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0382 [2025-03-28 01:45:43,796 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2825 [2025-03-28 01:45:44,258 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5754 [2025-03-28 01:45:44,459 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6026 [2025-03-28 01:45:44,612 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4553 [2025-03-28 01:45:44,896 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1583 [2025-03-28 01:45:45,518 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7251 [2025-03-28 01:45:45,833 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7595 [2025-03-28 01:45:47,116 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8148 [2025-03-28 01:45:48,362 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6351 [2025-03-28 01:45:49,753 INFO hook.py line 674 1202667] ######################################## [2025-03-28 01:45:49,753 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 01:45:49,753 INFO hook.py line 680 1202667] ######################################## [2025-03-28 01:45:49,753 INFO hook.py line 689 1202667] ceiling : 0.7961 0.9290 [2025-03-28 01:45:49,754 INFO hook.py line 689 1202667] floor : 0.8603 0.9744 [2025-03-28 01:45:49,754 INFO hook.py line 689 1202667] wall : 0.6773 0.9394 [2025-03-28 01:45:49,754 INFO hook.py line 689 1202667] beam : 0.0007 0.0093 [2025-03-28 01:45:49,754 INFO hook.py line 689 1202667] column : 0.0045 0.0048 [2025-03-28 01:45:49,754 INFO hook.py line 689 1202667] window : 0.1431 0.1513 [2025-03-28 01:45:49,754 INFO hook.py line 689 1202667] door : 0.1030 0.1512 [2025-03-28 01:45:49,754 INFO hook.py line 689 1202667] table : 0.3447 0.4758 [2025-03-28 01:45:49,754 INFO hook.py line 689 1202667] chair : 0.4650 0.6425 [2025-03-28 01:45:49,754 INFO hook.py line 689 1202667] sofa : 0.0044 0.0046 [2025-03-28 01:45:49,754 INFO hook.py line 689 1202667] bookcase : 0.2081 0.2245 [2025-03-28 01:45:49,754 INFO hook.py line 689 1202667] board : 0.3562 0.5935 [2025-03-28 01:45:49,754 INFO hook.py line 689 1202667] clutter : 0.2627 0.4092 [2025-03-28 01:45:49,754 INFO hook.py line 690 1202667] ######################################## [2025-03-28 01:45:49,755 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3251/0.4238/0.7239. [2025-03-28 01:45:49,755 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 01:45:49,782 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 01:45:49,782 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 01:46:20,758 INFO hook.py line 566 1202667] Train: [77/100][50/255] Data 0.001 (0.094) Batch 2.352 (0.411) Remain 00:41:35 loss: 1.6286 Lr: 4.42316e-04 [2025-03-28 01:46:49,091 INFO hook.py line 566 1202667] Train: [77/100][100/255] Data 0.002 (0.228) Batch 0.132 (0.491) Remain 00:49:17 loss: 1.7982 Lr: 4.35444e-04 [2025-03-28 01:47:08,285 INFO hook.py line 566 1202667] Train: [77/100][150/255] Data 0.002 (0.203) Batch 0.137 (0.455) Remain 00:45:15 loss: 1.4344 Lr: 4.28616e-04 [2025-03-28 01:47:31,960 INFO hook.py line 566 1202667] Train: [77/100][200/255] Data 0.002 (0.192) Batch 0.164 (0.460) Remain 00:45:20 loss: 1.7793 Lr: 4.21834e-04 [2025-03-28 01:47:51,798 INFO hook.py line 566 1202667] Train: [77/100][250/255] Data 0.001 (0.182) Batch 0.122 (0.447) Remain 00:43:42 loss: 1.4953 Lr: 4.15097e-04 [2025-03-28 01:47:53,409 INFO misc.py line 135 1202667] Train result: loss: 1.6709 [2025-03-28 01:47:53,441 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 01:48:06,195 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8014 [2025-03-28 01:48:08,171 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5058 [2025-03-28 01:48:08,471 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6735 [2025-03-28 01:48:09,152 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3940 [2025-03-28 01:48:09,421 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6596 [2025-03-28 01:48:09,702 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9046 [2025-03-28 01:48:12,684 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7253 [2025-03-28 01:48:13,148 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0443 [2025-03-28 01:48:13,349 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2810 [2025-03-28 01:48:13,811 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5639 [2025-03-28 01:48:14,014 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5999 [2025-03-28 01:48:14,168 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4531 [2025-03-28 01:48:14,451 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1627 [2025-03-28 01:48:15,075 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7230 [2025-03-28 01:48:15,391 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7684 [2025-03-28 01:48:16,674 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8110 [2025-03-28 01:48:17,921 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6361 [2025-03-28 01:48:19,180 INFO hook.py line 674 1202667] ######################################## [2025-03-28 01:48:19,180 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 01:48:19,180 INFO hook.py line 680 1202667] ######################################## [2025-03-28 01:48:19,181 INFO hook.py line 689 1202667] ceiling : 0.7957 0.9287 [2025-03-28 01:48:19,181 INFO hook.py line 689 1202667] floor : 0.8582 0.9749 [2025-03-28 01:48:19,181 INFO hook.py line 689 1202667] wall : 0.6766 0.9399 [2025-03-28 01:48:19,181 INFO hook.py line 689 1202667] beam : 0.0006 0.0073 [2025-03-28 01:48:19,181 INFO hook.py line 689 1202667] column : 0.0042 0.0044 [2025-03-28 01:48:19,181 INFO hook.py line 689 1202667] window : 0.1487 0.1576 [2025-03-28 01:48:19,181 INFO hook.py line 689 1202667] door : 0.1024 0.1504 [2025-03-28 01:48:19,181 INFO hook.py line 689 1202667] table : 0.3399 0.4687 [2025-03-28 01:48:19,181 INFO hook.py line 689 1202667] chair : 0.4641 0.6486 [2025-03-28 01:48:19,181 INFO hook.py line 689 1202667] sofa : 0.0044 0.0046 [2025-03-28 01:48:19,181 INFO hook.py line 689 1202667] bookcase : 0.2058 0.2215 [2025-03-28 01:48:19,181 INFO hook.py line 689 1202667] board : 0.3549 0.5957 [2025-03-28 01:48:19,181 INFO hook.py line 689 1202667] clutter : 0.2618 0.4058 [2025-03-28 01:48:19,181 INFO hook.py line 690 1202667] ######################################## [2025-03-28 01:48:19,181 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3244/0.4237/0.7235. [2025-03-28 01:48:19,182 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 01:48:19,209 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 01:48:19,210 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 01:48:47,963 INFO hook.py line 566 1202667] Train: [78/100][50/255] Data 0.003 (0.028) Batch 1.081 (0.410) Remain 00:39:46 loss: 1.6449 Lr: 4.07739e-04 [2025-03-28 01:49:13,059 INFO hook.py line 566 1202667] Train: [78/100][100/255] Data 0.001 (0.033) Batch 0.124 (0.458) Remain 00:43:57 loss: 1.7152 Lr: 4.01098e-04 [2025-03-28 01:49:37,982 INFO hook.py line 566 1202667] Train: [78/100][150/255] Data 0.003 (0.062) Batch 0.141 (0.471) Remain 00:44:54 loss: 1.5966 Lr: 3.94503e-04 [2025-03-28 01:50:01,418 INFO hook.py line 566 1202667] Train: [78/100][200/255] Data 0.002 (0.046) Batch 0.144 (0.471) Remain 00:44:26 loss: 1.6862 Lr: 3.87955e-04 [2025-03-28 01:50:21,944 INFO hook.py line 566 1202667] Train: [78/100][250/255] Data 0.001 (0.048) Batch 0.107 (0.459) Remain 00:42:54 loss: 1.6212 Lr: 3.81454e-04 [2025-03-28 01:50:22,503 INFO misc.py line 135 1202667] Train result: loss: 1.6613 [2025-03-28 01:50:22,535 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 01:50:35,618 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8052 [2025-03-28 01:50:37,358 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5122 [2025-03-28 01:50:37,654 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6736 [2025-03-28 01:50:38,337 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3918 [2025-03-28 01:50:38,608 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6570 [2025-03-28 01:50:38,890 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9043 [2025-03-28 01:50:41,872 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7243 [2025-03-28 01:50:42,336 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0467 [2025-03-28 01:50:42,537 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2849 [2025-03-28 01:50:43,001 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5670 [2025-03-28 01:50:43,205 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5912 [2025-03-28 01:50:43,359 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4494 [2025-03-28 01:50:43,641 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1687 [2025-03-28 01:50:44,259 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7270 [2025-03-28 01:50:44,575 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7589 [2025-03-28 01:50:45,856 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8126 [2025-03-28 01:50:47,105 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6380 [2025-03-28 01:50:48,203 INFO hook.py line 674 1202667] ######################################## [2025-03-28 01:50:48,203 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 01:50:48,203 INFO hook.py line 680 1202667] ######################################## [2025-03-28 01:50:48,203 INFO hook.py line 689 1202667] ceiling : 0.7961 0.9289 [2025-03-28 01:50:48,203 INFO hook.py line 689 1202667] floor : 0.8587 0.9747 [2025-03-28 01:50:48,203 INFO hook.py line 689 1202667] wall : 0.6764 0.9398 [2025-03-28 01:50:48,203 INFO hook.py line 689 1202667] beam : 0.0008 0.0104 [2025-03-28 01:50:48,203 INFO hook.py line 689 1202667] column : 0.0041 0.0043 [2025-03-28 01:50:48,203 INFO hook.py line 689 1202667] window : 0.1442 0.1525 [2025-03-28 01:50:48,203 INFO hook.py line 689 1202667] door : 0.1032 0.1515 [2025-03-28 01:50:48,203 INFO hook.py line 689 1202667] table : 0.3412 0.4697 [2025-03-28 01:50:48,203 INFO hook.py line 689 1202667] chair : 0.4661 0.6459 [2025-03-28 01:50:48,203 INFO hook.py line 689 1202667] sofa : 0.0044 0.0045 [2025-03-28 01:50:48,203 INFO hook.py line 689 1202667] bookcase : 0.2043 0.2197 [2025-03-28 01:50:48,203 INFO hook.py line 689 1202667] board : 0.3592 0.5944 [2025-03-28 01:50:48,203 INFO hook.py line 689 1202667] clutter : 0.2630 0.4103 [2025-03-28 01:50:48,203 INFO hook.py line 690 1202667] ######################################## [2025-03-28 01:50:48,203 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3247/0.4236/0.7235. [2025-03-28 01:50:48,204 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 01:50:48,229 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 01:50:48,230 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 01:51:19,049 INFO hook.py line 566 1202667] Train: [79/100][50/255] Data 0.001 (0.234) Batch 0.138 (0.523) Remain 00:48:26 loss: 1.6190 Lr: 3.74357e-04 [2025-03-28 01:51:41,162 INFO hook.py line 566 1202667] Train: [79/100][100/255] Data 0.002 (0.176) Batch 0.132 (0.481) Remain 00:44:11 loss: 1.6889 Lr: 3.67954e-04 [2025-03-28 01:52:02,774 INFO hook.py line 566 1202667] Train: [79/100][150/255] Data 0.002 (0.149) Batch 0.145 (0.465) Remain 00:42:16 loss: 1.5539 Lr: 3.61600e-04 [2025-03-28 01:52:28,585 INFO hook.py line 566 1202667] Train: [79/100][200/255] Data 0.002 (0.119) Batch 0.137 (0.478) Remain 00:43:04 loss: 1.6565 Lr: 3.55293e-04 [2025-03-28 01:52:52,065 INFO hook.py line 566 1202667] Train: [79/100][250/255] Data 0.000 (0.109) Batch 0.119 (0.476) Remain 00:42:31 loss: 1.7451 Lr: 3.49034e-04 [2025-03-28 01:52:53,217 INFO misc.py line 135 1202667] Train result: loss: 1.6705 [2025-03-28 01:52:53,249 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 01:53:07,019 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8050 [2025-03-28 01:53:08,766 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5113 [2025-03-28 01:53:09,065 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6778 [2025-03-28 01:53:09,747 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3916 [2025-03-28 01:53:10,016 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6538 [2025-03-28 01:53:10,299 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9066 [2025-03-28 01:53:13,285 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7293 [2025-03-28 01:53:13,761 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0468 [2025-03-28 01:53:13,962 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2898 [2025-03-28 01:53:14,424 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5690 [2025-03-28 01:53:14,628 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6095 [2025-03-28 01:53:14,781 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4570 [2025-03-28 01:53:15,064 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1673 [2025-03-28 01:53:15,684 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7256 [2025-03-28 01:53:16,000 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7659 [2025-03-28 01:53:17,284 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8145 [2025-03-28 01:53:18,530 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6404 [2025-03-28 01:53:19,654 INFO hook.py line 674 1202667] ######################################## [2025-03-28 01:53:19,654 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 01:53:19,654 INFO hook.py line 680 1202667] ######################################## [2025-03-28 01:53:19,654 INFO hook.py line 689 1202667] ceiling : 0.7962 0.9290 [2025-03-28 01:53:19,654 INFO hook.py line 689 1202667] floor : 0.8579 0.9750 [2025-03-28 01:53:19,654 INFO hook.py line 689 1202667] wall : 0.6771 0.9394 [2025-03-28 01:53:19,654 INFO hook.py line 689 1202667] beam : 0.0005 0.0072 [2025-03-28 01:53:19,654 INFO hook.py line 689 1202667] column : 0.0044 0.0047 [2025-03-28 01:53:19,654 INFO hook.py line 689 1202667] window : 0.1464 0.1551 [2025-03-28 01:53:19,654 INFO hook.py line 689 1202667] door : 0.1024 0.1511 [2025-03-28 01:53:19,654 INFO hook.py line 689 1202667] table : 0.3407 0.4693 [2025-03-28 01:53:19,654 INFO hook.py line 689 1202667] chair : 0.4645 0.6473 [2025-03-28 01:53:19,654 INFO hook.py line 689 1202667] sofa : 0.0044 0.0045 [2025-03-28 01:53:19,654 INFO hook.py line 689 1202667] bookcase : 0.2065 0.2222 [2025-03-28 01:53:19,654 INFO hook.py line 689 1202667] board : 0.3539 0.5948 [2025-03-28 01:53:19,654 INFO hook.py line 689 1202667] clutter : 0.2621 0.4067 [2025-03-28 01:53:19,654 INFO hook.py line 690 1202667] ######################################## [2025-03-28 01:53:19,654 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3244/0.4236/0.7235. [2025-03-28 01:53:19,655 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 01:53:19,680 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 01:53:19,681 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 01:53:55,624 INFO hook.py line 566 1202667] Train: [80/100][50/255] Data 0.002 (0.011) Batch 0.149 (0.516) Remain 00:45:39 loss: 1.7076 Lr: 3.42205e-04 [2025-03-28 01:54:20,253 INFO hook.py line 566 1202667] Train: [80/100][100/255] Data 0.002 (0.085) Batch 0.139 (0.504) Remain 00:44:09 loss: 1.5242 Lr: 3.36049e-04 [2025-03-28 01:54:44,027 INFO hook.py line 566 1202667] Train: [80/100][150/255] Data 0.002 (0.083) Batch 0.147 (0.494) Remain 00:42:53 loss: 1.6390 Lr: 3.29941e-04 [2025-03-28 01:55:07,514 INFO hook.py line 566 1202667] Train: [80/100][200/255] Data 0.002 (0.081) Batch 0.152 (0.488) Remain 00:41:56 loss: 1.5625 Lr: 3.23882e-04 [2025-03-28 01:55:26,698 INFO hook.py line 566 1202667] Train: [80/100][250/255] Data 0.000 (0.076) Batch 0.118 (0.467) Remain 00:39:43 loss: 1.7015 Lr: 3.17873e-04 [2025-03-28 01:55:27,266 INFO misc.py line 135 1202667] Train result: loss: 1.6682 [2025-03-28 01:55:27,302 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 01:55:41,085 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8013 [2025-03-28 01:55:42,834 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5137 [2025-03-28 01:55:43,131 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6743 [2025-03-28 01:55:43,813 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3913 [2025-03-28 01:55:44,082 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6543 [2025-03-28 01:55:44,364 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9027 [2025-03-28 01:55:47,354 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7260 [2025-03-28 01:55:47,818 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0482 [2025-03-28 01:55:48,019 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2814 [2025-03-28 01:55:48,484 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5640 [2025-03-28 01:55:48,689 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5994 [2025-03-28 01:55:48,844 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4555 [2025-03-28 01:55:49,129 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1694 [2025-03-28 01:55:49,747 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7216 [2025-03-28 01:55:50,064 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7664 [2025-03-28 01:55:51,350 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8118 [2025-03-28 01:55:52,595 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6410 [2025-03-28 01:55:53,731 INFO hook.py line 674 1202667] ######################################## [2025-03-28 01:55:53,732 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 01:55:53,732 INFO hook.py line 680 1202667] ######################################## [2025-03-28 01:55:53,732 INFO hook.py line 689 1202667] ceiling : 0.7964 0.9292 [2025-03-28 01:55:53,732 INFO hook.py line 689 1202667] floor : 0.8583 0.9750 [2025-03-28 01:55:53,732 INFO hook.py line 689 1202667] wall : 0.6769 0.9397 [2025-03-28 01:55:53,732 INFO hook.py line 689 1202667] beam : 0.0006 0.0076 [2025-03-28 01:55:53,732 INFO hook.py line 689 1202667] column : 0.0042 0.0045 [2025-03-28 01:55:53,732 INFO hook.py line 689 1202667] window : 0.1498 0.1590 [2025-03-28 01:55:53,732 INFO hook.py line 689 1202667] door : 0.1018 0.1480 [2025-03-28 01:55:53,732 INFO hook.py line 689 1202667] table : 0.3410 0.4692 [2025-03-28 01:55:53,732 INFO hook.py line 689 1202667] chair : 0.4653 0.6450 [2025-03-28 01:55:53,732 INFO hook.py line 689 1202667] sofa : 0.0049 0.0050 [2025-03-28 01:55:53,732 INFO hook.py line 689 1202667] bookcase : 0.2051 0.2206 [2025-03-28 01:55:53,732 INFO hook.py line 689 1202667] board : 0.3578 0.5983 [2025-03-28 01:55:53,732 INFO hook.py line 689 1202667] clutter : 0.2634 0.4107 [2025-03-28 01:55:53,732 INFO hook.py line 690 1202667] ######################################## [2025-03-28 01:55:53,732 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3250/0.4240/0.7239. [2025-03-28 01:55:53,733 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 01:55:53,768 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 01:55:53,768 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 01:56:24,602 INFO hook.py line 566 1202667] Train: [81/100][50/255] Data 0.002 (0.002) Batch 0.142 (0.499) Remain 00:41:57 loss: 1.6704 Lr: 3.11439e-04 [2025-03-28 01:56:47,549 INFO hook.py line 566 1202667] Train: [81/100][100/255] Data 0.002 (0.055) Batch 0.129 (0.478) Remain 00:39:50 loss: 1.6372 Lr: 3.05533e-04 [2025-03-28 01:57:11,985 INFO hook.py line 566 1202667] Train: [81/100][150/255] Data 0.002 (0.101) Batch 0.142 (0.482) Remain 00:39:44 loss: 1.6979 Lr: 2.99678e-04 [2025-03-28 01:57:33,750 INFO hook.py line 566 1202667] Train: [81/100][200/255] Data 0.002 (0.076) Batch 0.136 (0.470) Remain 00:38:22 loss: 1.5829 Lr: 2.93873e-04 [2025-03-28 01:57:55,772 INFO hook.py line 566 1202667] Train: [81/100][250/255] Data 0.001 (0.099) Batch 0.122 (0.464) Remain 00:37:30 loss: 1.6942 Lr: 2.88119e-04 [2025-03-28 01:57:56,350 INFO misc.py line 135 1202667] Train result: loss: 1.6757 [2025-03-28 01:57:56,389 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 01:58:08,789 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8073 [2025-03-28 01:58:10,532 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5135 [2025-03-28 01:58:10,832 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6707 [2025-03-28 01:58:11,516 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3927 [2025-03-28 01:58:11,785 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6595 [2025-03-28 01:58:12,068 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9056 [2025-03-28 01:58:15,049 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7280 [2025-03-28 01:58:15,514 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0464 [2025-03-28 01:58:15,715 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2886 [2025-03-28 01:58:16,176 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5690 [2025-03-28 01:58:16,380 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5980 [2025-03-28 01:58:16,533 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4538 [2025-03-28 01:58:16,815 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1699 [2025-03-28 01:58:17,437 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7239 [2025-03-28 01:58:17,753 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7630 [2025-03-28 01:58:19,037 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8139 [2025-03-28 01:58:20,287 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6405 [2025-03-28 01:58:21,422 INFO hook.py line 674 1202667] ######################################## [2025-03-28 01:58:21,422 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 01:58:21,422 INFO hook.py line 680 1202667] ######################################## [2025-03-28 01:58:21,423 INFO hook.py line 689 1202667] ceiling : 0.7960 0.9289 [2025-03-28 01:58:21,423 INFO hook.py line 689 1202667] floor : 0.8589 0.9749 [2025-03-28 01:58:21,423 INFO hook.py line 689 1202667] wall : 0.6768 0.9395 [2025-03-28 01:58:21,423 INFO hook.py line 689 1202667] beam : 0.0005 0.0066 [2025-03-28 01:58:21,423 INFO hook.py line 689 1202667] column : 0.0044 0.0046 [2025-03-28 01:58:21,423 INFO hook.py line 689 1202667] window : 0.1454 0.1538 [2025-03-28 01:58:21,423 INFO hook.py line 689 1202667] door : 0.1029 0.1510 [2025-03-28 01:58:21,423 INFO hook.py line 689 1202667] table : 0.3406 0.4673 [2025-03-28 01:58:21,423 INFO hook.py line 689 1202667] chair : 0.4663 0.6440 [2025-03-28 01:58:21,423 INFO hook.py line 689 1202667] sofa : 0.0042 0.0043 [2025-03-28 01:58:21,425 INFO hook.py line 689 1202667] bookcase : 0.2054 0.2209 [2025-03-28 01:58:21,425 INFO hook.py line 689 1202667] board : 0.3561 0.5989 [2025-03-28 01:58:21,425 INFO hook.py line 689 1202667] clutter : 0.2631 0.4108 [2025-03-28 01:58:21,425 INFO hook.py line 690 1202667] ######################################## [2025-03-28 01:58:21,425 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3247/0.4235/0.7236. [2025-03-28 01:58:21,427 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 01:58:21,457 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 01:58:21,457 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 01:58:52,660 INFO hook.py line 566 1202667] Train: [82/100][50/255] Data 0.001 (0.067) Batch 0.139 (0.492) Remain 00:39:20 loss: 1.6582 Lr: 2.81849e-04 [2025-03-28 01:59:15,952 INFO hook.py line 566 1202667] Train: [82/100][100/255] Data 0.004 (0.109) Batch 0.678 (0.479) Remain 00:37:51 loss: 1.5609 Lr: 2.76202e-04 [2025-03-28 01:59:42,053 INFO hook.py line 566 1202667] Train: [82/100][150/255] Data 0.002 (0.180) Batch 0.155 (0.493) Remain 00:38:36 loss: 1.6640 Lr: 2.70607e-04 [2025-03-28 02:00:07,832 INFO hook.py line 566 1202667] Train: [82/100][200/255] Data 0.001 (0.138) Batch 0.135 (0.499) Remain 00:38:38 loss: 1.5310 Lr: 2.65063e-04 [2025-03-28 02:00:29,864 INFO hook.py line 566 1202667] Train: [82/100][250/255] Data 0.001 (0.111) Batch 0.120 (0.487) Remain 00:37:18 loss: 1.5907 Lr: 2.59571e-04 [2025-03-28 02:00:30,975 INFO misc.py line 135 1202667] Train result: loss: 1.6644 [2025-03-28 02:00:31,013 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 02:00:43,178 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.7943 [2025-03-28 02:00:45,758 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5033 [2025-03-28 02:00:46,057 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6657 [2025-03-28 02:00:46,740 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3892 [2025-03-28 02:00:47,009 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6566 [2025-03-28 02:00:47,291 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9051 [2025-03-28 02:00:50,272 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7198 [2025-03-28 02:00:50,736 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0433 [2025-03-28 02:00:50,936 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2793 [2025-03-28 02:00:51,399 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5633 [2025-03-28 02:00:51,601 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5882 [2025-03-28 02:00:51,755 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4609 [2025-03-28 02:00:52,038 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1687 [2025-03-28 02:00:52,658 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7211 [2025-03-28 02:00:52,974 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7495 [2025-03-28 02:00:54,255 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8136 [2025-03-28 02:00:55,500 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6370 [2025-03-28 02:00:56,570 INFO hook.py line 674 1202667] ######################################## [2025-03-28 02:00:56,570 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 02:00:56,570 INFO hook.py line 680 1202667] ######################################## [2025-03-28 02:00:56,570 INFO hook.py line 689 1202667] ceiling : 0.7963 0.9284 [2025-03-28 02:00:56,570 INFO hook.py line 689 1202667] floor : 0.8597 0.9745 [2025-03-28 02:00:56,570 INFO hook.py line 689 1202667] wall : 0.6773 0.9390 [2025-03-28 02:00:56,570 INFO hook.py line 689 1202667] beam : 0.0008 0.0104 [2025-03-28 02:00:56,570 INFO hook.py line 689 1202667] column : 0.0044 0.0046 [2025-03-28 02:00:56,570 INFO hook.py line 689 1202667] window : 0.1452 0.1538 [2025-03-28 02:00:56,570 INFO hook.py line 689 1202667] door : 0.1032 0.1516 [2025-03-28 02:00:56,570 INFO hook.py line 689 1202667] table : 0.3430 0.4724 [2025-03-28 02:00:56,571 INFO hook.py line 689 1202667] chair : 0.4653 0.6445 [2025-03-28 02:00:56,571 INFO hook.py line 689 1202667] sofa : 0.0046 0.0047 [2025-03-28 02:00:56,571 INFO hook.py line 689 1202667] bookcase : 0.2101 0.2269 [2025-03-28 02:00:56,571 INFO hook.py line 689 1202667] board : 0.3550 0.6006 [2025-03-28 02:00:56,571 INFO hook.py line 689 1202667] clutter : 0.2626 0.4088 [2025-03-28 02:00:56,571 INFO hook.py line 690 1202667] ######################################## [2025-03-28 02:00:56,571 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3252/0.4246/0.7240. [2025-03-28 02:00:56,571 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 02:00:56,598 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 02:00:56,598 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 02:01:25,708 INFO hook.py line 566 1202667] Train: [83/100][50/255] Data 0.001 (0.040) Batch 0.139 (0.373) Remain 00:28:14 loss: 1.7343 Lr: 2.53591e-04 [2025-03-28 02:01:50,152 INFO hook.py line 566 1202667] Train: [83/100][100/255] Data 0.001 (0.108) Batch 0.145 (0.433) Remain 00:32:23 loss: 1.5471 Lr: 2.48209e-04 [2025-03-28 02:02:11,336 INFO hook.py line 566 1202667] Train: [83/100][150/255] Data 0.002 (0.125) Batch 0.153 (0.430) Remain 00:31:48 loss: 1.6261 Lr: 2.42879e-04 [2025-03-28 02:02:35,677 INFO hook.py line 566 1202667] Train: [83/100][200/255] Data 0.002 (0.140) Batch 0.140 (0.444) Remain 00:32:30 loss: 1.6242 Lr: 2.37603e-04 [2025-03-28 02:02:56,814 INFO hook.py line 566 1202667] Train: [83/100][250/255] Data 0.001 (0.168) Batch 0.120 (0.440) Remain 00:31:49 loss: 1.7497 Lr: 2.32380e-04 [2025-03-28 02:02:57,383 INFO misc.py line 135 1202667] Train result: loss: 1.6794 [2025-03-28 02:02:57,411 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 02:03:11,257 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8021 [2025-03-28 02:03:12,999 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5088 [2025-03-28 02:03:13,298 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6725 [2025-03-28 02:03:13,983 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3874 [2025-03-28 02:03:14,252 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6571 [2025-03-28 02:03:14,533 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9048 [2025-03-28 02:03:17,515 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7206 [2025-03-28 02:03:17,978 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0421 [2025-03-28 02:03:18,179 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2811 [2025-03-28 02:03:18,643 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5632 [2025-03-28 02:03:18,845 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6044 [2025-03-28 02:03:18,998 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4557 [2025-03-28 02:03:19,280 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1633 [2025-03-28 02:03:19,900 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7235 [2025-03-28 02:03:20,216 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7570 [2025-03-28 02:03:21,498 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8186 [2025-03-28 02:03:22,740 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6393 [2025-03-28 02:03:23,952 INFO hook.py line 674 1202667] ######################################## [2025-03-28 02:03:23,952 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 02:03:23,952 INFO hook.py line 680 1202667] ######################################## [2025-03-28 02:03:23,952 INFO hook.py line 689 1202667] ceiling : 0.7964 0.9288 [2025-03-28 02:03:23,952 INFO hook.py line 689 1202667] floor : 0.8589 0.9748 [2025-03-28 02:03:23,952 INFO hook.py line 689 1202667] wall : 0.6777 0.9391 [2025-03-28 02:03:23,952 INFO hook.py line 689 1202667] beam : 0.0006 0.0083 [2025-03-28 02:03:23,952 INFO hook.py line 689 1202667] column : 0.0045 0.0048 [2025-03-28 02:03:23,952 INFO hook.py line 689 1202667] window : 0.1492 0.1581 [2025-03-28 02:03:23,952 INFO hook.py line 689 1202667] door : 0.1038 0.1528 [2025-03-28 02:03:23,952 INFO hook.py line 689 1202667] table : 0.3422 0.4704 [2025-03-28 02:03:23,952 INFO hook.py line 689 1202667] chair : 0.4650 0.6451 [2025-03-28 02:03:23,952 INFO hook.py line 689 1202667] sofa : 0.0045 0.0046 [2025-03-28 02:03:23,952 INFO hook.py line 689 1202667] bookcase : 0.2078 0.2238 [2025-03-28 02:03:23,952 INFO hook.py line 689 1202667] board : 0.3562 0.6021 [2025-03-28 02:03:23,952 INFO hook.py line 689 1202667] clutter : 0.2634 0.4100 [2025-03-28 02:03:23,952 INFO hook.py line 690 1202667] ######################################## [2025-03-28 02:03:23,952 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3254/0.4248/0.7241. [2025-03-28 02:03:23,952 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 02:03:23,979 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 02:03:23,980 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 02:03:55,096 INFO hook.py line 566 1202667] Train: [84/100][50/255] Data 0.002 (0.096) Batch 0.155 (0.405) Remain 00:28:56 loss: 1.7961 Lr: 2.26696e-04 [2025-03-28 02:04:20,413 INFO hook.py line 566 1202667] Train: [84/100][100/255] Data 0.001 (0.165) Batch 0.127 (0.457) Remain 00:32:16 loss: 1.6992 Lr: 2.21585e-04 [2025-03-28 02:04:41,936 INFO hook.py line 566 1202667] Train: [84/100][150/255] Data 0.002 (0.122) Batch 0.126 (0.448) Remain 00:31:15 loss: 1.7038 Lr: 2.16527e-04 [2025-03-28 02:05:08,872 INFO hook.py line 566 1202667] Train: [84/100][200/255] Data 0.003 (0.100) Batch 0.148 (0.471) Remain 00:32:28 loss: 1.7646 Lr: 2.11524e-04 [2025-03-28 02:05:28,586 INFO hook.py line 566 1202667] Train: [84/100][250/255] Data 0.002 (0.080) Batch 0.123 (0.456) Remain 00:31:01 loss: 1.7510 Lr: 2.06574e-04 [2025-03-28 02:05:29,163 INFO misc.py line 135 1202667] Train result: loss: 1.6612 [2025-03-28 02:05:29,196 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 02:05:42,911 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8019 [2025-03-28 02:05:44,656 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5078 [2025-03-28 02:05:44,954 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6709 [2025-03-28 02:05:45,637 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3895 [2025-03-28 02:05:45,905 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6592 [2025-03-28 02:05:46,186 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9053 [2025-03-28 02:05:49,165 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7283 [2025-03-28 02:05:49,633 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0451 [2025-03-28 02:05:49,835 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2822 [2025-03-28 02:05:50,299 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5699 [2025-03-28 02:05:50,501 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5997 [2025-03-28 02:05:50,655 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4529 [2025-03-28 02:05:50,939 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1642 [2025-03-28 02:05:51,557 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7260 [2025-03-28 02:05:51,874 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7617 [2025-03-28 02:05:53,156 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8129 [2025-03-28 02:05:54,401 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6386 [2025-03-28 02:05:55,501 INFO hook.py line 674 1202667] ######################################## [2025-03-28 02:05:55,501 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 02:05:55,501 INFO hook.py line 680 1202667] ######################################## [2025-03-28 02:05:55,501 INFO hook.py line 689 1202667] ceiling : 0.7959 0.9286 [2025-03-28 02:05:55,501 INFO hook.py line 689 1202667] floor : 0.8591 0.9746 [2025-03-28 02:05:55,501 INFO hook.py line 689 1202667] wall : 0.6768 0.9394 [2025-03-28 02:05:55,501 INFO hook.py line 689 1202667] beam : 0.0007 0.0089 [2025-03-28 02:05:55,501 INFO hook.py line 689 1202667] column : 0.0041 0.0043 [2025-03-28 02:05:55,501 INFO hook.py line 689 1202667] window : 0.1448 0.1530 [2025-03-28 02:05:55,501 INFO hook.py line 689 1202667] door : 0.1027 0.1504 [2025-03-28 02:05:55,501 INFO hook.py line 689 1202667] table : 0.3429 0.4727 [2025-03-28 02:05:55,501 INFO hook.py line 689 1202667] chair : 0.4650 0.6446 [2025-03-28 02:05:55,501 INFO hook.py line 689 1202667] sofa : 0.0044 0.0045 [2025-03-28 02:05:55,501 INFO hook.py line 689 1202667] bookcase : 0.2069 0.2230 [2025-03-28 02:05:55,501 INFO hook.py line 689 1202667] board : 0.3532 0.5941 [2025-03-28 02:05:55,501 INFO hook.py line 689 1202667] clutter : 0.2625 0.4089 [2025-03-28 02:05:55,501 INFO hook.py line 690 1202667] ######################################## [2025-03-28 02:05:55,501 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3245/0.4236/0.7236. [2025-03-28 02:05:55,502 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 02:05:55,533 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 02:05:55,534 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 02:06:25,911 INFO hook.py line 566 1202667] Train: [85/100][50/255] Data 0.002 (0.081) Batch 1.632 (0.477) Remain 00:32:00 loss: 1.6866 Lr: 2.01193e-04 [2025-03-28 02:06:46,766 INFO hook.py line 566 1202667] Train: [85/100][100/255] Data 0.002 (0.040) Batch 0.151 (0.446) Remain 00:29:34 loss: 1.7662 Lr: 1.96358e-04 [2025-03-28 02:07:07,644 INFO hook.py line 566 1202667] Train: [85/100][150/255] Data 0.002 (0.080) Batch 0.127 (0.436) Remain 00:28:34 loss: 1.7305 Lr: 1.91578e-04 [2025-03-28 02:07:31,818 INFO hook.py line 566 1202667] Train: [85/100][200/255] Data 0.002 (0.060) Batch 0.152 (0.448) Remain 00:28:59 loss: 1.5706 Lr: 1.86854e-04 [2025-03-28 02:07:53,607 INFO hook.py line 566 1202667] Train: [85/100][250/255] Data 0.000 (0.075) Batch 0.111 (0.446) Remain 00:28:27 loss: 1.4755 Lr: 1.82184e-04 [2025-03-28 02:07:55,623 INFO misc.py line 135 1202667] Train result: loss: 1.6546 [2025-03-28 02:07:55,654 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 02:08:07,672 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8056 [2025-03-28 02:08:09,416 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5027 [2025-03-28 02:08:09,714 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6651 [2025-03-28 02:08:10,398 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3884 [2025-03-28 02:08:10,666 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6591 [2025-03-28 02:08:10,950 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9052 [2025-03-28 02:08:13,933 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7210 [2025-03-28 02:08:14,398 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0432 [2025-03-28 02:08:14,599 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2808 [2025-03-28 02:08:15,063 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5701 [2025-03-28 02:08:15,266 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5973 [2025-03-28 02:08:15,420 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4550 [2025-03-28 02:08:15,703 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1610 [2025-03-28 02:08:16,320 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7246 [2025-03-28 02:08:16,638 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7565 [2025-03-28 02:08:17,922 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8128 [2025-03-28 02:08:19,169 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6380 [2025-03-28 02:08:20,198 INFO hook.py line 674 1202667] ######################################## [2025-03-28 02:08:20,198 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 02:08:20,198 INFO hook.py line 680 1202667] ######################################## [2025-03-28 02:08:20,198 INFO hook.py line 689 1202667] ceiling : 0.7963 0.9286 [2025-03-28 02:08:20,198 INFO hook.py line 689 1202667] floor : 0.8585 0.9749 [2025-03-28 02:08:20,198 INFO hook.py line 689 1202667] wall : 0.6767 0.9392 [2025-03-28 02:08:20,198 INFO hook.py line 689 1202667] beam : 0.0009 0.0113 [2025-03-28 02:08:20,198 INFO hook.py line 689 1202667] column : 0.0042 0.0044 [2025-03-28 02:08:20,198 INFO hook.py line 689 1202667] window : 0.1450 0.1532 [2025-03-28 02:08:20,198 INFO hook.py line 689 1202667] door : 0.1028 0.1502 [2025-03-28 02:08:20,198 INFO hook.py line 689 1202667] table : 0.3412 0.4674 [2025-03-28 02:08:20,198 INFO hook.py line 689 1202667] chair : 0.4656 0.6444 [2025-03-28 02:08:20,198 INFO hook.py line 689 1202667] sofa : 0.0043 0.0044 [2025-03-28 02:08:20,198 INFO hook.py line 689 1202667] bookcase : 0.2095 0.2261 [2025-03-28 02:08:20,198 INFO hook.py line 689 1202667] board : 0.3547 0.6007 [2025-03-28 02:08:20,199 INFO hook.py line 689 1202667] clutter : 0.2627 0.4091 [2025-03-28 02:08:20,199 INFO hook.py line 690 1202667] ######################################## [2025-03-28 02:08:20,199 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3248/0.4242/0.7239. [2025-03-28 02:08:20,199 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 02:08:20,226 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 02:08:20,226 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 02:08:48,005 INFO hook.py line 566 1202667] Train: [86/100][50/255] Data 0.002 (0.072) Batch 0.125 (0.368) Remain 00:23:07 loss: 1.5627 Lr: 1.77111e-04 [2025-03-28 02:09:14,261 INFO hook.py line 566 1202667] Train: [86/100][100/255] Data 0.002 (0.089) Batch 0.141 (0.449) Remain 00:27:51 loss: 1.6965 Lr: 1.72558e-04 [2025-03-28 02:09:35,419 INFO hook.py line 566 1202667] Train: [86/100][150/255] Data 0.002 (0.060) Batch 0.143 (0.440) Remain 00:26:57 loss: 1.7244 Lr: 1.68061e-04 [2025-03-28 02:10:01,014 INFO hook.py line 566 1202667] Train: [86/100][200/255] Data 0.002 (0.050) Batch 2.823 (0.458) Remain 00:27:41 loss: 1.8312 Lr: 1.63619e-04 [2025-03-28 02:10:21,857 INFO hook.py line 566 1202667] Train: [86/100][250/255] Data 0.001 (0.047) Batch 0.119 (0.450) Remain 00:26:48 loss: 1.8017 Lr: 1.59234e-04 [2025-03-28 02:10:22,450 INFO misc.py line 135 1202667] Train result: loss: 1.6714 [2025-03-28 02:10:22,481 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 02:10:35,592 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8024 [2025-03-28 02:10:37,339 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5063 [2025-03-28 02:10:37,638 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6696 [2025-03-28 02:10:38,321 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3879 [2025-03-28 02:10:38,591 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6586 [2025-03-28 02:10:38,873 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9025 [2025-03-28 02:10:41,856 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7265 [2025-03-28 02:10:42,322 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0422 [2025-03-28 02:10:42,523 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2904 [2025-03-28 02:10:42,988 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5661 [2025-03-28 02:10:43,191 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5993 [2025-03-28 02:10:43,345 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4507 [2025-03-28 02:10:43,628 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1570 [2025-03-28 02:10:44,247 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7243 [2025-03-28 02:10:44,563 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7619 [2025-03-28 02:10:45,846 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8164 [2025-03-28 02:10:47,092 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6329 [2025-03-28 02:10:48,157 INFO hook.py line 674 1202667] ######################################## [2025-03-28 02:10:48,157 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 02:10:48,157 INFO hook.py line 680 1202667] ######################################## [2025-03-28 02:10:48,158 INFO hook.py line 689 1202667] ceiling : 0.7962 0.9288 [2025-03-28 02:10:48,159 INFO hook.py line 689 1202667] floor : 0.8587 0.9747 [2025-03-28 02:10:48,159 INFO hook.py line 689 1202667] wall : 0.6770 0.9395 [2025-03-28 02:10:48,159 INFO hook.py line 689 1202667] beam : 0.0006 0.0081 [2025-03-28 02:10:48,159 INFO hook.py line 689 1202667] column : 0.0043 0.0045 [2025-03-28 02:10:48,159 INFO hook.py line 689 1202667] window : 0.1444 0.1528 [2025-03-28 02:10:48,159 INFO hook.py line 689 1202667] door : 0.1036 0.1526 [2025-03-28 02:10:48,159 INFO hook.py line 689 1202667] table : 0.3405 0.4695 [2025-03-28 02:10:48,159 INFO hook.py line 689 1202667] chair : 0.4638 0.6432 [2025-03-28 02:10:48,159 INFO hook.py line 689 1202667] sofa : 0.0048 0.0049 [2025-03-28 02:10:48,159 INFO hook.py line 689 1202667] bookcase : 0.2079 0.2241 [2025-03-28 02:10:48,159 INFO hook.py line 689 1202667] board : 0.3565 0.5942 [2025-03-28 02:10:48,159 INFO hook.py line 689 1202667] clutter : 0.2624 0.4080 [2025-03-28 02:10:48,159 INFO hook.py line 690 1202667] ######################################## [2025-03-28 02:10:48,159 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3247/0.4235/0.7237. [2025-03-28 02:10:48,159 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 02:10:48,186 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 02:10:48,187 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 02:11:21,119 INFO hook.py line 566 1202667] Train: [87/100][50/255] Data 0.002 (0.227) Batch 0.115 (0.535) Remain 00:31:22 loss: 1.5767 Lr: 1.54476e-04 [2025-03-28 02:11:45,229 INFO hook.py line 566 1202667] Train: [87/100][100/255] Data 0.001 (0.286) Batch 0.119 (0.508) Remain 00:29:21 loss: 1.5337 Lr: 1.50209e-04 [2025-03-28 02:12:04,401 INFO hook.py line 566 1202667] Train: [87/100][150/255] Data 0.002 (0.210) Batch 0.149 (0.465) Remain 00:26:31 loss: 1.6908 Lr: 1.46000e-04 [2025-03-28 02:12:28,181 INFO hook.py line 566 1202667] Train: [87/100][200/255] Data 0.002 (0.188) Batch 0.163 (0.468) Remain 00:26:17 loss: 1.6359 Lr: 1.41847e-04 [2025-03-28 02:12:48,227 INFO hook.py line 566 1202667] Train: [87/100][250/255] Data 0.001 (0.163) Batch 0.121 (0.454) Remain 00:25:08 loss: 1.5413 Lr: 1.37751e-04 [2025-03-28 02:12:50,015 INFO misc.py line 135 1202667] Train result: loss: 1.6804 [2025-03-28 02:12:50,053 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 02:13:02,933 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8038 [2025-03-28 02:13:04,670 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5057 [2025-03-28 02:13:04,970 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6692 [2025-03-28 02:13:05,653 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3876 [2025-03-28 02:13:05,922 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6592 [2025-03-28 02:13:06,203 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9019 [2025-03-28 02:13:09,185 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7200 [2025-03-28 02:13:09,651 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0422 [2025-03-28 02:13:09,852 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2786 [2025-03-28 02:13:10,316 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5708 [2025-03-28 02:13:10,518 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6000 [2025-03-28 02:13:10,671 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4568 [2025-03-28 02:13:10,955 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1560 [2025-03-28 02:13:11,574 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7245 [2025-03-28 02:13:11,891 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7607 [2025-03-28 02:13:13,175 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8155 [2025-03-28 02:13:14,420 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6344 [2025-03-28 02:13:15,455 INFO hook.py line 674 1202667] ######################################## [2025-03-28 02:13:15,455 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 02:13:15,455 INFO hook.py line 680 1202667] ######################################## [2025-03-28 02:13:15,455 INFO hook.py line 689 1202667] ceiling : 0.7960 0.9292 [2025-03-28 02:13:15,455 INFO hook.py line 689 1202667] floor : 0.8591 0.9749 [2025-03-28 02:13:15,455 INFO hook.py line 689 1202667] wall : 0.6769 0.9400 [2025-03-28 02:13:15,455 INFO hook.py line 689 1202667] beam : 0.0006 0.0073 [2025-03-28 02:13:15,455 INFO hook.py line 689 1202667] column : 0.0045 0.0048 [2025-03-28 02:13:15,455 INFO hook.py line 689 1202667] window : 0.1471 0.1558 [2025-03-28 02:13:15,455 INFO hook.py line 689 1202667] door : 0.1027 0.1509 [2025-03-28 02:13:15,455 INFO hook.py line 689 1202667] table : 0.3420 0.4708 [2025-03-28 02:13:15,455 INFO hook.py line 689 1202667] chair : 0.4648 0.6437 [2025-03-28 02:13:15,455 INFO hook.py line 689 1202667] sofa : 0.0041 0.0042 [2025-03-28 02:13:15,455 INFO hook.py line 689 1202667] bookcase : 0.2065 0.2223 [2025-03-28 02:13:15,455 INFO hook.py line 689 1202667] board : 0.3560 0.6011 [2025-03-28 02:13:15,455 INFO hook.py line 689 1202667] clutter : 0.2617 0.4059 [2025-03-28 02:13:15,455 INFO hook.py line 690 1202667] ######################################## [2025-03-28 02:13:15,455 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3248/0.4239/0.7238. [2025-03-28 02:13:15,456 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 02:13:15,484 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 02:13:15,484 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 02:13:44,080 INFO hook.py line 566 1202667] Train: [88/100][50/255] Data 0.002 (0.032) Batch 0.136 (0.457) Remain 00:24:50 loss: 1.7489 Lr: 1.33312e-04 [2025-03-28 02:14:10,355 INFO hook.py line 566 1202667] Train: [88/100][100/255] Data 0.002 (0.063) Batch 0.121 (0.492) Remain 00:26:22 loss: 1.6674 Lr: 1.29337e-04 [2025-03-28 02:14:30,428 INFO hook.py line 566 1202667] Train: [88/100][150/255] Data 0.003 (0.047) Batch 0.143 (0.461) Remain 00:24:19 loss: 1.6459 Lr: 1.25419e-04 [2025-03-28 02:14:58,107 INFO hook.py line 566 1202667] Train: [88/100][200/255] Data 0.001 (0.038) Batch 0.143 (0.485) Remain 00:25:09 loss: 1.6811 Lr: 1.21559e-04 [2025-03-28 02:15:24,779 INFO hook.py line 566 1202667] Train: [88/100][250/255] Data 0.001 (0.054) Batch 0.091 (0.495) Remain 00:25:15 loss: 1.7884 Lr: 1.17758e-04 [2025-03-28 02:15:25,363 INFO misc.py line 135 1202667] Train result: loss: 1.6600 [2025-03-28 02:15:25,397 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 02:15:38,114 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.7994 [2025-03-28 02:15:39,926 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5060 [2025-03-28 02:15:40,224 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6685 [2025-03-28 02:15:40,910 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3866 [2025-03-28 02:15:41,179 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6530 [2025-03-28 02:15:41,462 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9052 [2025-03-28 02:15:44,439 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7217 [2025-03-28 02:15:44,902 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0398 [2025-03-28 02:15:45,103 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2852 [2025-03-28 02:15:45,565 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5672 [2025-03-28 02:15:45,769 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5984 [2025-03-28 02:15:45,923 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4583 [2025-03-28 02:15:46,206 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1613 [2025-03-28 02:15:46,827 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7219 [2025-03-28 02:15:47,142 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7601 [2025-03-28 02:15:48,424 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8162 [2025-03-28 02:15:49,671 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6322 [2025-03-28 02:15:50,776 INFO hook.py line 674 1202667] ######################################## [2025-03-28 02:15:50,776 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 02:15:50,776 INFO hook.py line 680 1202667] ######################################## [2025-03-28 02:15:50,776 INFO hook.py line 689 1202667] ceiling : 0.7960 0.9290 [2025-03-28 02:15:50,776 INFO hook.py line 689 1202667] floor : 0.8589 0.9747 [2025-03-28 02:15:50,776 INFO hook.py line 689 1202667] wall : 0.6770 0.9398 [2025-03-28 02:15:50,776 INFO hook.py line 689 1202667] beam : 0.0007 0.0087 [2025-03-28 02:15:50,776 INFO hook.py line 689 1202667] column : 0.0047 0.0049 [2025-03-28 02:15:50,776 INFO hook.py line 689 1202667] window : 0.1504 0.1595 [2025-03-28 02:15:50,776 INFO hook.py line 689 1202667] door : 0.1022 0.1497 [2025-03-28 02:15:50,777 INFO hook.py line 689 1202667] table : 0.3414 0.4706 [2025-03-28 02:15:50,777 INFO hook.py line 689 1202667] chair : 0.4645 0.6443 [2025-03-28 02:15:50,777 INFO hook.py line 689 1202667] sofa : 0.0045 0.0046 [2025-03-28 02:15:50,777 INFO hook.py line 689 1202667] bookcase : 0.2068 0.2227 [2025-03-28 02:15:50,777 INFO hook.py line 689 1202667] board : 0.3570 0.5951 [2025-03-28 02:15:50,777 INFO hook.py line 689 1202667] clutter : 0.2621 0.4072 [2025-03-28 02:15:50,777 INFO hook.py line 690 1202667] ######################################## [2025-03-28 02:15:50,777 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3251/0.4239/0.7238. [2025-03-28 02:15:50,777 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 02:15:50,805 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 02:15:50,805 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 02:16:26,062 INFO hook.py line 566 1202667] Train: [89/100][50/255] Data 0.001 (0.002) Batch 0.131 (0.470) Remain 00:23:35 loss: 1.6575 Lr: 1.13643e-04 [2025-03-28 02:16:52,516 INFO hook.py line 566 1202667] Train: [89/100][100/255] Data 0.001 (0.002) Batch 0.119 (0.501) Remain 00:24:41 loss: 1.6387 Lr: 1.10036e-04 [2025-03-28 02:17:14,465 INFO hook.py line 566 1202667] Train: [89/100][150/255] Data 0.002 (0.010) Batch 2.213 (0.480) Remain 00:23:15 loss: 1.4996 Lr: 1.06414e-04 [2025-03-28 02:17:38,968 INFO hook.py line 566 1202667] Train: [89/100][200/255] Data 0.002 (0.038) Batch 0.149 (0.482) Remain 00:22:59 loss: 1.5546 Lr: 1.02850e-04 [2025-03-28 02:17:55,530 INFO hook.py line 566 1202667] Train: [89/100][250/255] Data 0.001 (0.041) Batch 0.113 (0.452) Remain 00:21:09 loss: 1.4816 Lr: 9.93451e-05 [2025-03-28 02:18:00,039 INFO misc.py line 135 1202667] Train result: loss: 1.6644 [2025-03-28 02:18:00,071 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 02:18:11,919 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8018 [2025-03-28 02:18:13,726 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.4999 [2025-03-28 02:18:14,024 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6654 [2025-03-28 02:18:14,705 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3853 [2025-03-28 02:18:14,974 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6514 [2025-03-28 02:18:15,256 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9047 [2025-03-28 02:18:18,231 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7224 [2025-03-28 02:18:18,695 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0374 [2025-03-28 02:18:18,898 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2803 [2025-03-28 02:18:19,360 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5654 [2025-03-28 02:18:19,563 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5917 [2025-03-28 02:18:19,717 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4545 [2025-03-28 02:18:20,001 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1588 [2025-03-28 02:18:20,621 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7199 [2025-03-28 02:18:20,938 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7562 [2025-03-28 02:18:22,222 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8114 [2025-03-28 02:18:23,470 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6382 [2025-03-28 02:18:24,519 INFO hook.py line 674 1202667] ######################################## [2025-03-28 02:18:24,520 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 02:18:24,520 INFO hook.py line 680 1202667] ######################################## [2025-03-28 02:18:24,520 INFO hook.py line 689 1202667] ceiling : 0.7958 0.9288 [2025-03-28 02:18:24,520 INFO hook.py line 689 1202667] floor : 0.8594 0.9747 [2025-03-28 02:18:24,520 INFO hook.py line 689 1202667] wall : 0.6765 0.9398 [2025-03-28 02:18:24,520 INFO hook.py line 689 1202667] beam : 0.0007 0.0086 [2025-03-28 02:18:24,520 INFO hook.py line 689 1202667] column : 0.0045 0.0048 [2025-03-28 02:18:24,520 INFO hook.py line 689 1202667] window : 0.1478 0.1567 [2025-03-28 02:18:24,520 INFO hook.py line 689 1202667] door : 0.1021 0.1491 [2025-03-28 02:18:24,520 INFO hook.py line 689 1202667] table : 0.3427 0.4731 [2025-03-28 02:18:24,520 INFO hook.py line 689 1202667] chair : 0.4658 0.6448 [2025-03-28 02:18:24,520 INFO hook.py line 689 1202667] sofa : 0.0046 0.0047 [2025-03-28 02:18:24,520 INFO hook.py line 689 1202667] bookcase : 0.2072 0.2231 [2025-03-28 02:18:24,520 INFO hook.py line 689 1202667] board : 0.3564 0.5967 [2025-03-28 02:18:24,520 INFO hook.py line 689 1202667] clutter : 0.2622 0.4069 [2025-03-28 02:18:24,520 INFO hook.py line 690 1202667] ######################################## [2025-03-28 02:18:24,520 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3250/0.4240/0.7238. [2025-03-28 02:18:24,521 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 02:18:24,549 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 02:18:24,549 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 02:18:53,372 INFO hook.py line 566 1202667] Train: [90/100][50/255] Data 0.002 (0.030) Batch 0.152 (0.439) Remain 00:20:10 loss: 1.7548 Lr: 9.55577e-05 [2025-03-28 02:19:19,621 INFO hook.py line 566 1202667] Train: [90/100][100/255] Data 0.002 (0.041) Batch 0.141 (0.483) Remain 00:21:47 loss: 1.7643 Lr: 9.21766e-05 [2025-03-28 02:19:40,512 INFO hook.py line 566 1202667] Train: [90/100][150/255] Data 0.003 (0.028) Batch 0.134 (0.461) Remain 00:20:24 loss: 1.7201 Lr: 8.88547e-05 [2025-03-28 02:20:05,082 INFO hook.py line 566 1202667] Train: [90/100][200/255] Data 0.002 (0.044) Batch 0.150 (0.469) Remain 00:20:21 loss: 1.6461 Lr: 8.55921e-05 [2025-03-28 02:20:25,395 INFO hook.py line 566 1202667] Train: [90/100][250/255] Data 0.001 (0.050) Batch 0.112 (0.456) Remain 00:19:25 loss: 2.0612 Lr: 8.23891e-05 [2025-03-28 02:20:26,757 INFO misc.py line 135 1202667] Train result: loss: 1.6723 [2025-03-28 02:20:26,788 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 02:20:38,668 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8019 [2025-03-28 02:20:41,335 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5074 [2025-03-28 02:20:41,634 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6660 [2025-03-28 02:20:42,317 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3900 [2025-03-28 02:20:42,588 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6595 [2025-03-28 02:20:42,869 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9030 [2025-03-28 02:20:45,852 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7224 [2025-03-28 02:20:46,314 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0415 [2025-03-28 02:20:46,515 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2876 [2025-03-28 02:20:46,980 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5714 [2025-03-28 02:20:47,186 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5979 [2025-03-28 02:20:47,340 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4528 [2025-03-28 02:20:47,622 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1605 [2025-03-28 02:20:48,240 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7229 [2025-03-28 02:20:48,557 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7626 [2025-03-28 02:20:49,839 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8140 [2025-03-28 02:20:51,084 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6374 [2025-03-28 02:20:52,216 INFO hook.py line 674 1202667] ######################################## [2025-03-28 02:20:52,217 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 02:20:52,217 INFO hook.py line 680 1202667] ######################################## [2025-03-28 02:20:52,217 INFO hook.py line 689 1202667] ceiling : 0.7962 0.9293 [2025-03-28 02:20:52,217 INFO hook.py line 689 1202667] floor : 0.8593 0.9746 [2025-03-28 02:20:52,217 INFO hook.py line 689 1202667] wall : 0.6770 0.9395 [2025-03-28 02:20:52,217 INFO hook.py line 689 1202667] beam : 0.0006 0.0080 [2025-03-28 02:20:52,217 INFO hook.py line 689 1202667] column : 0.0046 0.0048 [2025-03-28 02:20:52,217 INFO hook.py line 689 1202667] window : 0.1474 0.1563 [2025-03-28 02:20:52,217 INFO hook.py line 689 1202667] door : 0.1022 0.1492 [2025-03-28 02:20:52,218 INFO hook.py line 689 1202667] table : 0.3420 0.4714 [2025-03-28 02:20:52,218 INFO hook.py line 689 1202667] chair : 0.4651 0.6427 [2025-03-28 02:20:52,218 INFO hook.py line 689 1202667] sofa : 0.0043 0.0044 [2025-03-28 02:20:52,218 INFO hook.py line 689 1202667] bookcase : 0.2071 0.2232 [2025-03-28 02:20:52,218 INFO hook.py line 689 1202667] board : 0.3546 0.5953 [2025-03-28 02:20:52,218 INFO hook.py line 689 1202667] clutter : 0.2629 0.4096 [2025-03-28 02:20:52,218 INFO hook.py line 690 1202667] ######################################## [2025-03-28 02:20:52,218 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3249/0.4237/0.7239. [2025-03-28 02:20:52,219 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 02:20:52,249 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 02:20:52,249 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 02:21:23,570 INFO hook.py line 566 1202667] Train: [91/100][50/255] Data 0.003 (0.002) Batch 0.124 (0.440) Remain 00:18:20 loss: 1.6887 Lr: 7.89345e-05 [2025-03-28 02:21:44,731 INFO hook.py line 566 1202667] Train: [91/100][100/255] Data 0.002 (0.015) Batch 0.137 (0.431) Remain 00:17:37 loss: 1.8142 Lr: 7.58567e-05 [2025-03-28 02:22:09,958 INFO hook.py line 566 1202667] Train: [91/100][150/255] Data 0.002 (0.011) Batch 0.135 (0.456) Remain 00:18:15 loss: 1.4595 Lr: 7.28389e-05 [2025-03-28 02:22:36,697 INFO hook.py line 566 1202667] Train: [91/100][200/255] Data 0.002 (0.009) Batch 0.129 (0.476) Remain 00:18:39 loss: 1.7415 Lr: 6.98810e-05 [2025-03-28 02:22:58,632 INFO hook.py line 566 1202667] Train: [91/100][250/255] Data 0.001 (0.020) Batch 0.100 (0.469) Remain 00:17:57 loss: 1.6410 Lr: 6.69833e-05 [2025-03-28 02:22:59,216 INFO misc.py line 135 1202667] Train result: loss: 1.6713 [2025-03-28 02:22:59,251 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 02:23:11,802 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8034 [2025-03-28 02:23:13,549 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5096 [2025-03-28 02:23:13,847 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6719 [2025-03-28 02:23:14,531 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3916 [2025-03-28 02:23:14,801 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6621 [2025-03-28 02:23:15,083 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9057 [2025-03-28 02:23:18,062 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7218 [2025-03-28 02:23:18,527 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0458 [2025-03-28 02:23:18,729 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2928 [2025-03-28 02:23:19,192 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5668 [2025-03-28 02:23:19,396 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6049 [2025-03-28 02:23:19,549 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4500 [2025-03-28 02:23:19,833 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1637 [2025-03-28 02:23:20,451 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7295 [2025-03-28 02:23:20,769 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7647 [2025-03-28 02:23:22,052 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8142 [2025-03-28 02:23:23,297 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6389 [2025-03-28 02:23:24,565 INFO hook.py line 674 1202667] ######################################## [2025-03-28 02:23:24,565 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 02:23:24,565 INFO hook.py line 680 1202667] ######################################## [2025-03-28 02:23:24,565 INFO hook.py line 689 1202667] ceiling : 0.7962 0.9286 [2025-03-28 02:23:24,566 INFO hook.py line 689 1202667] floor : 0.8592 0.9745 [2025-03-28 02:23:24,566 INFO hook.py line 689 1202667] wall : 0.6769 0.9393 [2025-03-28 02:23:24,566 INFO hook.py line 689 1202667] beam : 0.0005 0.0069 [2025-03-28 02:23:24,566 INFO hook.py line 689 1202667] column : 0.0045 0.0047 [2025-03-28 02:23:24,566 INFO hook.py line 689 1202667] window : 0.1463 0.1551 [2025-03-28 02:23:24,566 INFO hook.py line 689 1202667] door : 0.1025 0.1499 [2025-03-28 02:23:24,566 INFO hook.py line 689 1202667] table : 0.3409 0.4701 [2025-03-28 02:23:24,566 INFO hook.py line 689 1202667] chair : 0.4657 0.6444 [2025-03-28 02:23:24,566 INFO hook.py line 689 1202667] sofa : 0.0044 0.0045 [2025-03-28 02:23:24,566 INFO hook.py line 689 1202667] bookcase : 0.2068 0.2228 [2025-03-28 02:23:24,566 INFO hook.py line 689 1202667] board : 0.3568 0.5994 [2025-03-28 02:23:24,566 INFO hook.py line 689 1202667] clutter : 0.2631 0.4104 [2025-03-28 02:23:24,566 INFO hook.py line 690 1202667] ######################################## [2025-03-28 02:23:24,566 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3249/0.4239/0.7237. [2025-03-28 02:23:24,567 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 02:23:24,595 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 02:23:24,595 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 02:23:56,568 INFO hook.py line 566 1202667] Train: [92/100][50/255] Data 2.893 (0.341) Batch 3.031 (0.524) Remain 00:19:36 loss: 1.6870 Lr: 6.38654e-05 [2025-03-28 02:24:14,903 INFO hook.py line 566 1202667] Train: [92/100][100/255] Data 0.002 (0.262) Batch 0.151 (0.443) Remain 00:16:12 loss: 1.6792 Lr: 6.10943e-05 [2025-03-28 02:24:40,229 INFO hook.py line 566 1202667] Train: [92/100][150/255] Data 0.002 (0.194) Batch 0.138 (0.465) Remain 00:16:36 loss: 1.6747 Lr: 5.83838e-05 [2025-03-28 02:25:01,336 INFO hook.py line 566 1202667] Train: [92/100][200/255] Data 0.002 (0.145) Batch 0.141 (0.454) Remain 00:15:50 loss: 1.6186 Lr: 5.57338e-05 [2025-03-28 02:25:26,615 INFO hook.py line 566 1202667] Train: [92/100][250/255] Data 0.001 (0.175) Batch 0.117 (0.464) Remain 00:15:49 loss: 1.6872 Lr: 5.31446e-05 [2025-03-28 02:25:29,795 INFO misc.py line 135 1202667] Train result: loss: 1.6642 [2025-03-28 02:25:29,823 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 02:25:43,608 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8036 [2025-03-28 02:25:45,352 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5122 [2025-03-28 02:25:45,650 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6705 [2025-03-28 02:25:46,331 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3888 [2025-03-28 02:25:46,599 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6562 [2025-03-28 02:25:46,883 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9057 [2025-03-28 02:25:49,867 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7209 [2025-03-28 02:25:50,334 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0461 [2025-03-28 02:25:50,535 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2841 [2025-03-28 02:25:50,997 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5667 [2025-03-28 02:25:51,200 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5942 [2025-03-28 02:25:51,353 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4583 [2025-03-28 02:25:51,636 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1679 [2025-03-28 02:25:52,257 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7192 [2025-03-28 02:25:52,574 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7591 [2025-03-28 02:25:53,856 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8142 [2025-03-28 02:25:55,102 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6369 [2025-03-28 02:25:56,096 INFO hook.py line 674 1202667] ######################################## [2025-03-28 02:25:56,096 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 02:25:56,096 INFO hook.py line 680 1202667] ######################################## [2025-03-28 02:25:56,096 INFO hook.py line 689 1202667] ceiling : 0.7959 0.9286 [2025-03-28 02:25:56,096 INFO hook.py line 689 1202667] floor : 0.8595 0.9746 [2025-03-28 02:25:56,096 INFO hook.py line 689 1202667] wall : 0.6767 0.9399 [2025-03-28 02:25:56,096 INFO hook.py line 689 1202667] beam : 0.0008 0.0106 [2025-03-28 02:25:56,097 INFO hook.py line 689 1202667] column : 0.0045 0.0048 [2025-03-28 02:25:56,097 INFO hook.py line 689 1202667] window : 0.1489 0.1578 [2025-03-28 02:25:56,097 INFO hook.py line 689 1202667] door : 0.1021 0.1494 [2025-03-28 02:25:56,097 INFO hook.py line 689 1202667] table : 0.3434 0.4736 [2025-03-28 02:25:56,097 INFO hook.py line 689 1202667] chair : 0.4655 0.6441 [2025-03-28 02:25:56,097 INFO hook.py line 689 1202667] sofa : 0.0043 0.0044 [2025-03-28 02:25:56,097 INFO hook.py line 689 1202667] bookcase : 0.2069 0.2228 [2025-03-28 02:25:56,097 INFO hook.py line 689 1202667] board : 0.3552 0.5925 [2025-03-28 02:25:56,097 INFO hook.py line 689 1202667] clutter : 0.2623 0.4078 [2025-03-28 02:25:56,097 INFO hook.py line 690 1202667] ######################################## [2025-03-28 02:25:56,097 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3251/0.4239/0.7238. [2025-03-28 02:25:56,097 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 02:25:56,124 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 02:25:56,124 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 02:26:23,717 INFO hook.py line 566 1202667] Train: [93/100][50/255] Data 0.001 (0.083) Batch 0.137 (0.354) Remain 00:11:45 loss: 1.7024 Lr: 5.03668e-05 [2025-03-28 02:26:50,513 INFO hook.py line 566 1202667] Train: [93/100][100/255] Data 2.987 (0.107) Batch 3.111 (0.448) Remain 00:14:29 loss: 1.6061 Lr: 4.79055e-05 [2025-03-28 02:27:11,333 INFO hook.py line 566 1202667] Train: [93/100][150/255] Data 0.001 (0.081) Batch 0.129 (0.437) Remain 00:13:46 loss: 1.6676 Lr: 4.55052e-05 [2025-03-28 02:27:33,055 INFO hook.py line 566 1202667] Train: [93/100][200/255] Data 0.003 (0.061) Batch 0.143 (0.437) Remain 00:13:23 loss: 1.5962 Lr: 4.31661e-05 [2025-03-28 02:27:56,627 INFO hook.py line 566 1202667] Train: [93/100][250/255] Data 0.001 (0.049) Batch 0.120 (0.444) Remain 00:13:14 loss: 1.6387 Lr: 4.08883e-05 [2025-03-28 02:27:57,224 INFO misc.py line 135 1202667] Train result: loss: 1.6625 [2025-03-28 02:27:57,251 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 02:28:09,078 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8032 [2025-03-28 02:28:10,822 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5013 [2025-03-28 02:28:11,120 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6631 [2025-03-28 02:28:11,805 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3848 [2025-03-28 02:28:12,075 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6549 [2025-03-28 02:28:12,357 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9040 [2025-03-28 02:28:15,337 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7230 [2025-03-28 02:28:15,803 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0394 [2025-03-28 02:28:16,005 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2792 [2025-03-28 02:28:16,468 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5669 [2025-03-28 02:28:16,671 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5985 [2025-03-28 02:28:16,825 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4655 [2025-03-28 02:28:17,110 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1549 [2025-03-28 02:28:17,728 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7196 [2025-03-28 02:28:18,045 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7545 [2025-03-28 02:28:19,330 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8110 [2025-03-28 02:28:20,575 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6371 [2025-03-28 02:28:21,652 INFO hook.py line 674 1202667] ######################################## [2025-03-28 02:28:21,652 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 02:28:21,652 INFO hook.py line 680 1202667] ######################################## [2025-03-28 02:28:21,652 INFO hook.py line 689 1202667] ceiling : 0.7960 0.9287 [2025-03-28 02:28:21,652 INFO hook.py line 689 1202667] floor : 0.8593 0.9746 [2025-03-28 02:28:21,652 INFO hook.py line 689 1202667] wall : 0.6768 0.9395 [2025-03-28 02:28:21,653 INFO hook.py line 689 1202667] beam : 0.0007 0.0096 [2025-03-28 02:28:21,653 INFO hook.py line 689 1202667] column : 0.0045 0.0047 [2025-03-28 02:28:21,653 INFO hook.py line 689 1202667] window : 0.1460 0.1546 [2025-03-28 02:28:21,653 INFO hook.py line 689 1202667] door : 0.1025 0.1503 [2025-03-28 02:28:21,653 INFO hook.py line 689 1202667] table : 0.3434 0.4733 [2025-03-28 02:28:21,653 INFO hook.py line 689 1202667] chair : 0.4649 0.6442 [2025-03-28 02:28:21,653 INFO hook.py line 689 1202667] sofa : 0.0042 0.0043 [2025-03-28 02:28:21,653 INFO hook.py line 689 1202667] bookcase : 0.2070 0.2231 [2025-03-28 02:28:21,653 INFO hook.py line 689 1202667] board : 0.3545 0.5949 [2025-03-28 02:28:21,653 INFO hook.py line 689 1202667] clutter : 0.2624 0.4084 [2025-03-28 02:28:21,653 INFO hook.py line 690 1202667] ######################################## [2025-03-28 02:28:21,653 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3248/0.4239/0.7237. [2025-03-28 02:28:21,653 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 02:28:21,680 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 02:28:21,681 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 02:28:52,145 INFO hook.py line 566 1202667] Train: [94/100][50/255] Data 0.002 (0.128) Batch 0.131 (0.453) Remain 00:13:06 loss: 1.5033 Lr: 3.84535e-05 [2025-03-28 02:29:14,859 INFO hook.py line 566 1202667] Train: [94/100][100/255] Data 0.125 (0.124) Batch 4.793 (0.454) Remain 00:12:44 loss: 1.5683 Lr: 3.63047e-05 [2025-03-28 02:29:33,919 INFO hook.py line 566 1202667] Train: [94/100][150/255] Data 0.001 (0.082) Batch 0.155 (0.429) Remain 00:11:41 loss: 1.6613 Lr: 3.42173e-05 [2025-03-28 02:30:04,749 INFO hook.py line 566 1202667] Train: [94/100][200/255] Data 0.002 (0.080) Batch 0.134 (0.477) Remain 00:12:35 loss: 1.7938 Lr: 3.21916e-05 [2025-03-28 02:30:26,378 INFO hook.py line 566 1202667] Train: [94/100][250/255] Data 0.000 (0.070) Batch 0.255 (0.468) Remain 00:11:57 loss: 1.6599 Lr: 3.02276e-05 [2025-03-28 02:30:26,967 INFO misc.py line 135 1202667] Train result: loss: 1.6647 [2025-03-28 02:30:27,002 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 02:30:40,930 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.7975 [2025-03-28 02:30:42,672 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5047 [2025-03-28 02:30:42,972 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6701 [2025-03-28 02:30:43,658 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3888 [2025-03-28 02:30:43,928 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6507 [2025-03-28 02:30:44,210 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9049 [2025-03-28 02:30:47,191 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7181 [2025-03-28 02:30:47,655 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0433 [2025-03-28 02:30:47,855 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2861 [2025-03-28 02:30:48,318 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5619 [2025-03-28 02:30:48,521 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5960 [2025-03-28 02:30:48,676 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4567 [2025-03-28 02:30:48,958 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1594 [2025-03-28 02:30:49,579 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7181 [2025-03-28 02:30:49,895 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7578 [2025-03-28 02:30:51,180 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8153 [2025-03-28 02:30:52,424 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6366 [2025-03-28 02:30:53,569 INFO hook.py line 674 1202667] ######################################## [2025-03-28 02:30:53,569 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 02:30:53,569 INFO hook.py line 680 1202667] ######################################## [2025-03-28 02:30:53,570 INFO hook.py line 689 1202667] ceiling : 0.7961 0.9294 [2025-03-28 02:30:53,570 INFO hook.py line 689 1202667] floor : 0.8595 0.9748 [2025-03-28 02:30:53,570 INFO hook.py line 689 1202667] wall : 0.6771 0.9398 [2025-03-28 02:30:53,570 INFO hook.py line 689 1202667] beam : 0.0005 0.0069 [2025-03-28 02:30:53,570 INFO hook.py line 689 1202667] column : 0.0044 0.0046 [2025-03-28 02:30:53,570 INFO hook.py line 689 1202667] window : 0.1477 0.1564 [2025-03-28 02:30:53,570 INFO hook.py line 689 1202667] door : 0.1026 0.1499 [2025-03-28 02:30:53,570 INFO hook.py line 689 1202667] table : 0.3424 0.4713 [2025-03-28 02:30:53,570 INFO hook.py line 689 1202667] chair : 0.4655 0.6447 [2025-03-28 02:30:53,570 INFO hook.py line 689 1202667] sofa : 0.0044 0.0045 [2025-03-28 02:30:53,570 INFO hook.py line 689 1202667] bookcase : 0.2074 0.2234 [2025-03-28 02:30:53,570 INFO hook.py line 689 1202667] board : 0.3572 0.6006 [2025-03-28 02:30:53,570 INFO hook.py line 689 1202667] clutter : 0.2627 0.4080 [2025-03-28 02:30:53,570 INFO hook.py line 690 1202667] ######################################## [2025-03-28 02:30:53,570 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3252/0.4242/0.7240. [2025-03-28 02:30:53,570 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 02:30:53,599 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 02:30:53,599 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 02:31:22,543 INFO hook.py line 566 1202667] Train: [95/100][50/255] Data 0.004 (0.020) Batch 0.714 (0.463) Remain 00:11:25 loss: 1.4947 Lr: 2.81386e-05 [2025-03-28 02:31:48,235 INFO hook.py line 566 1202667] Train: [95/100][100/255] Data 0.002 (0.092) Batch 0.140 (0.489) Remain 00:11:39 loss: 1.6589 Lr: 2.63045e-05 [2025-03-28 02:32:10,016 INFO hook.py line 566 1202667] Train: [95/100][150/255] Data 0.002 (0.061) Batch 0.145 (0.471) Remain 00:10:49 loss: 1.6888 Lr: 2.45324e-05 [2025-03-28 02:32:35,380 INFO hook.py line 566 1202667] Train: [95/100][200/255] Data 0.001 (0.103) Batch 0.128 (0.480) Remain 00:10:38 loss: 1.7325 Lr: 2.28223e-05 [2025-03-28 02:32:54,172 INFO hook.py line 566 1202667] Train: [95/100][250/255] Data 0.470 (0.084) Batch 0.990 (0.459) Remain 00:09:47 loss: 1.6373 Lr: 2.11743e-05 [2025-03-28 02:32:58,551 INFO misc.py line 135 1202667] Train result: loss: 1.6651 [2025-03-28 02:32:58,584 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 02:33:12,286 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8005 [2025-03-28 02:33:14,027 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5075 [2025-03-28 02:33:14,326 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6684 [2025-03-28 02:33:15,009 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3897 [2025-03-28 02:33:15,282 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6611 [2025-03-28 02:33:15,564 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9072 [2025-03-28 02:33:18,547 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7205 [2025-03-28 02:33:19,010 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0444 [2025-03-28 02:33:19,216 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2826 [2025-03-28 02:33:19,681 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5676 [2025-03-28 02:33:19,884 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.6011 [2025-03-28 02:33:20,042 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4543 [2025-03-28 02:33:20,325 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1577 [2025-03-28 02:33:20,941 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7240 [2025-03-28 02:33:21,262 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7629 [2025-03-28 02:33:22,545 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8148 [2025-03-28 02:33:23,789 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6399 [2025-03-28 02:33:24,910 INFO hook.py line 674 1202667] ######################################## [2025-03-28 02:33:24,910 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 02:33:24,910 INFO hook.py line 680 1202667] ######################################## [2025-03-28 02:33:24,911 INFO hook.py line 689 1202667] ceiling : 0.7961 0.9289 [2025-03-28 02:33:24,911 INFO hook.py line 689 1202667] floor : 0.8585 0.9748 [2025-03-28 02:33:24,911 INFO hook.py line 689 1202667] wall : 0.6767 0.9397 [2025-03-28 02:33:24,911 INFO hook.py line 689 1202667] beam : 0.0004 0.0050 [2025-03-28 02:33:24,911 INFO hook.py line 689 1202667] column : 0.0046 0.0048 [2025-03-28 02:33:24,911 INFO hook.py line 689 1202667] window : 0.1482 0.1570 [2025-03-28 02:33:24,911 INFO hook.py line 689 1202667] door : 0.1020 0.1490 [2025-03-28 02:33:24,911 INFO hook.py line 689 1202667] table : 0.3409 0.4700 [2025-03-28 02:33:24,911 INFO hook.py line 689 1202667] chair : 0.4655 0.6427 [2025-03-28 02:33:24,911 INFO hook.py line 689 1202667] sofa : 0.0044 0.0045 [2025-03-28 02:33:24,912 INFO hook.py line 689 1202667] bookcase : 0.2066 0.2226 [2025-03-28 02:33:24,912 INFO hook.py line 689 1202667] board : 0.3542 0.5926 [2025-03-28 02:33:24,912 INFO hook.py line 689 1202667] clutter : 0.2623 0.4079 [2025-03-28 02:33:24,912 INFO hook.py line 690 1202667] ######################################## [2025-03-28 02:33:24,912 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3246/0.4230/0.7236. [2025-03-28 02:33:24,913 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 02:33:24,942 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 02:33:24,943 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 02:34:03,074 INFO hook.py line 566 1202667] Train: [96/100][50/255] Data 0.003 (0.002) Batch 6.798 (0.582) Remain 00:11:53 loss: 1.6484 Lr: 1.94333e-05 [2025-03-28 02:34:22,351 INFO hook.py line 566 1202667] Train: [96/100][100/255] Data 0.002 (0.045) Batch 0.625 (0.481) Remain 00:09:25 loss: 1.5885 Lr: 1.79160e-05 [2025-03-28 02:34:46,526 INFO hook.py line 566 1202667] Train: [96/100][150/255] Data 0.001 (0.050) Batch 0.117 (0.482) Remain 00:09:02 loss: 1.5718 Lr: 1.64610e-05 [2025-03-28 02:35:06,970 INFO hook.py line 566 1202667] Train: [96/100][200/255] Data 0.003 (0.041) Batch 0.144 (0.463) Remain 00:08:18 loss: 1.4578 Lr: 1.50684e-05 [2025-03-28 02:35:27,968 INFO hook.py line 566 1202667] Train: [96/100][250/255] Data 0.001 (0.048) Batch 0.240 (0.455) Remain 00:07:45 loss: 1.5401 Lr: 1.37382e-05 [2025-03-28 02:35:28,554 INFO misc.py line 135 1202667] Train result: loss: 1.6663 [2025-03-28 02:35:28,589 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 02:35:41,680 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8055 [2025-03-28 02:35:43,421 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5142 [2025-03-28 02:35:43,718 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6770 [2025-03-28 02:35:44,402 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3901 [2025-03-28 02:35:44,673 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6605 [2025-03-28 02:35:44,955 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9068 [2025-03-28 02:35:47,934 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7272 [2025-03-28 02:35:48,399 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0440 [2025-03-28 02:35:48,600 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2932 [2025-03-28 02:35:49,064 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5732 [2025-03-28 02:35:49,267 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5991 [2025-03-28 02:35:49,419 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4516 [2025-03-28 02:35:49,703 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1588 [2025-03-28 02:35:50,321 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7213 [2025-03-28 02:35:50,638 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7644 [2025-03-28 02:35:51,923 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8153 [2025-03-28 02:35:53,167 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6393 [2025-03-28 02:35:54,259 INFO hook.py line 674 1202667] ######################################## [2025-03-28 02:35:54,259 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 02:35:54,259 INFO hook.py line 680 1202667] ######################################## [2025-03-28 02:35:54,259 INFO hook.py line 689 1202667] ceiling : 0.7959 0.9286 [2025-03-28 02:35:54,260 INFO hook.py line 689 1202667] floor : 0.8594 0.9746 [2025-03-28 02:35:54,260 INFO hook.py line 689 1202667] wall : 0.6769 0.9395 [2025-03-28 02:35:54,260 INFO hook.py line 689 1202667] beam : 0.0007 0.0089 [2025-03-28 02:35:54,260 INFO hook.py line 689 1202667] column : 0.0046 0.0049 [2025-03-28 02:35:54,260 INFO hook.py line 689 1202667] window : 0.1480 0.1569 [2025-03-28 02:35:54,260 INFO hook.py line 689 1202667] door : 0.1028 0.1502 [2025-03-28 02:35:54,260 INFO hook.py line 689 1202667] table : 0.3425 0.4714 [2025-03-28 02:35:54,260 INFO hook.py line 689 1202667] chair : 0.4653 0.6459 [2025-03-28 02:35:54,260 INFO hook.py line 689 1202667] sofa : 0.0043 0.0044 [2025-03-28 02:35:54,261 INFO hook.py line 689 1202667] bookcase : 0.2069 0.2229 [2025-03-28 02:35:54,261 INFO hook.py line 689 1202667] board : 0.3538 0.5924 [2025-03-28 02:35:54,261 INFO hook.py line 689 1202667] clutter : 0.2630 0.4096 [2025-03-28 02:35:54,261 INFO hook.py line 690 1202667] ######################################## [2025-03-28 02:35:54,261 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3249/0.4239/0.7238. [2025-03-28 02:35:54,261 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 02:35:54,291 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 02:35:54,292 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 02:36:26,207 INFO hook.py line 566 1202667] Train: [97/100][50/255] Data 0.003 (0.206) Batch 0.135 (0.475) Remain 00:07:40 loss: 1.5234 Lr: 1.23472e-05 [2025-03-28 02:36:51,560 INFO hook.py line 566 1202667] Train: [97/100][100/255] Data 0.002 (0.130) Batch 0.147 (0.491) Remain 00:07:32 loss: 1.6993 Lr: 1.11717e-05 [2025-03-28 02:37:13,900 INFO hook.py line 566 1202667] Train: [97/100][150/255] Data 0.003 (0.168) Batch 0.135 (0.476) Remain 00:06:54 loss: 1.7298 Lr: 1.00341e-05 [2025-03-28 02:37:40,746 INFO hook.py line 566 1202667] Train: [97/100][200/255] Data 2.430 (0.139) Batch 2.558 (0.492) Remain 00:06:43 loss: 1.6569 Lr: 8.95926e-06 [2025-03-28 02:38:01,757 INFO hook.py line 566 1202667] Train: [97/100][250/255] Data 0.000 (0.126) Batch 0.116 (0.477) Remain 00:06:07 loss: 1.6963 Lr: 7.94708e-06 [2025-03-28 02:38:02,479 INFO misc.py line 135 1202667] Train result: loss: 1.6726 [2025-03-28 02:38:02,506 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 02:38:15,542 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8020 [2025-03-28 02:38:17,282 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5071 [2025-03-28 02:38:17,580 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6699 [2025-03-28 02:38:18,263 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3876 [2025-03-28 02:38:18,531 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6550 [2025-03-28 02:38:18,812 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9030 [2025-03-28 02:38:21,793 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7236 [2025-03-28 02:38:22,256 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0440 [2025-03-28 02:38:22,457 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2810 [2025-03-28 02:38:22,918 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5630 [2025-03-28 02:38:23,121 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5935 [2025-03-28 02:38:23,274 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4549 [2025-03-28 02:38:23,561 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1631 [2025-03-28 02:38:24,180 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7184 [2025-03-28 02:38:24,496 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7597 [2025-03-28 02:38:25,778 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8118 [2025-03-28 02:38:27,025 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6364 [2025-03-28 02:38:28,069 INFO hook.py line 674 1202667] ######################################## [2025-03-28 02:38:28,070 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 02:38:28,070 INFO hook.py line 680 1202667] ######################################## [2025-03-28 02:38:28,070 INFO hook.py line 689 1202667] ceiling : 0.7959 0.9288 [2025-03-28 02:38:28,070 INFO hook.py line 689 1202667] floor : 0.8600 0.9745 [2025-03-28 02:38:28,070 INFO hook.py line 689 1202667] wall : 0.6767 0.9395 [2025-03-28 02:38:28,070 INFO hook.py line 689 1202667] beam : 0.0004 0.0056 [2025-03-28 02:38:28,070 INFO hook.py line 689 1202667] column : 0.0047 0.0049 [2025-03-28 02:38:28,070 INFO hook.py line 689 1202667] window : 0.1464 0.1551 [2025-03-28 02:38:28,070 INFO hook.py line 689 1202667] door : 0.1025 0.1499 [2025-03-28 02:38:28,070 INFO hook.py line 689 1202667] table : 0.3435 0.4735 [2025-03-28 02:38:28,070 INFO hook.py line 689 1202667] chair : 0.4659 0.6452 [2025-03-28 02:38:28,070 INFO hook.py line 689 1202667] sofa : 0.0045 0.0046 [2025-03-28 02:38:28,070 INFO hook.py line 689 1202667] bookcase : 0.2077 0.2239 [2025-03-28 02:38:28,070 INFO hook.py line 689 1202667] board : 0.3569 0.5966 [2025-03-28 02:38:28,070 INFO hook.py line 689 1202667] clutter : 0.2629 0.4090 [2025-03-28 02:38:28,070 INFO hook.py line 690 1202667] ######################################## [2025-03-28 02:38:28,070 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3252/0.4239/0.7239. [2025-03-28 02:38:28,070 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 02:38:28,098 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 02:38:28,098 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 02:38:58,842 INFO hook.py line 566 1202667] Train: [98/100][50/255] Data 0.002 (0.002) Batch 0.197 (0.411) Remain 00:04:53 loss: 1.6185 Lr: 6.90614e-06 [2025-03-28 02:39:23,738 INFO hook.py line 566 1202667] Train: [98/100][100/255] Data 0.001 (0.050) Batch 0.156 (0.456) Remain 00:05:03 loss: 1.5633 Lr: 6.02576e-06 [2025-03-28 02:39:45,502 INFO hook.py line 566 1202667] Train: [98/100][150/255] Data 0.002 (0.060) Batch 0.128 (0.449) Remain 00:04:36 loss: 1.9292 Lr: 5.20820e-06 [2025-03-28 02:40:06,333 INFO hook.py line 566 1202667] Train: [98/100][200/255] Data 0.001 (0.045) Batch 0.147 (0.441) Remain 00:04:08 loss: 1.6221 Lr: 4.45349e-06 [2025-03-28 02:40:27,559 INFO hook.py line 566 1202667] Train: [98/100][250/255] Data 0.001 (0.043) Batch 0.120 (0.437) Remain 00:03:45 loss: 1.8523 Lr: 3.76167e-06 [2025-03-28 02:40:31,698 INFO misc.py line 135 1202667] Train result: loss: 1.6788 [2025-03-28 02:40:31,730 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 02:40:44,500 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.7985 [2025-03-28 02:40:46,330 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5019 [2025-03-28 02:40:46,629 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6696 [2025-03-28 02:40:47,313 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3869 [2025-03-28 02:40:47,584 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6586 [2025-03-28 02:40:47,865 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9035 [2025-03-28 02:40:50,845 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7185 [2025-03-28 02:40:51,309 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0419 [2025-03-28 02:40:51,509 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2822 [2025-03-28 02:40:51,972 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5630 [2025-03-28 02:40:52,174 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5975 [2025-03-28 02:40:52,328 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4521 [2025-03-28 02:40:52,614 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1598 [2025-03-28 02:40:53,235 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7251 [2025-03-28 02:40:53,553 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7605 [2025-03-28 02:40:54,836 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8153 [2025-03-28 02:40:56,075 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6368 [2025-03-28 02:40:57,160 INFO hook.py line 674 1202667] ######################################## [2025-03-28 02:40:57,160 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 02:40:57,160 INFO hook.py line 680 1202667] ######################################## [2025-03-28 02:40:57,160 INFO hook.py line 689 1202667] ceiling : 0.7961 0.9290 [2025-03-28 02:40:57,160 INFO hook.py line 689 1202667] floor : 0.8597 0.9745 [2025-03-28 02:40:57,160 INFO hook.py line 689 1202667] wall : 0.6766 0.9396 [2025-03-28 02:40:57,160 INFO hook.py line 689 1202667] beam : 0.0008 0.0109 [2025-03-28 02:40:57,160 INFO hook.py line 689 1202667] column : 0.0044 0.0047 [2025-03-28 02:40:57,160 INFO hook.py line 689 1202667] window : 0.1452 0.1536 [2025-03-28 02:40:57,160 INFO hook.py line 689 1202667] door : 0.1027 0.1505 [2025-03-28 02:40:57,160 INFO hook.py line 689 1202667] table : 0.3435 0.4738 [2025-03-28 02:40:57,160 INFO hook.py line 689 1202667] chair : 0.4655 0.6439 [2025-03-28 02:40:57,160 INFO hook.py line 689 1202667] sofa : 0.0044 0.0045 [2025-03-28 02:40:57,160 INFO hook.py line 689 1202667] bookcase : 0.2078 0.2240 [2025-03-28 02:40:57,160 INFO hook.py line 689 1202667] board : 0.3539 0.5917 [2025-03-28 02:40:57,160 INFO hook.py line 689 1202667] clutter : 0.2625 0.4080 [2025-03-28 02:40:57,160 INFO hook.py line 690 1202667] ######################################## [2025-03-28 02:40:57,160 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3248/0.4237/0.7238. [2025-03-28 02:40:57,160 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 02:40:57,188 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 02:40:57,188 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 02:41:25,282 INFO hook.py line 566 1202667] Train: [99/100][50/255] Data 0.003 (0.022) Batch 1.026 (0.373) Remain 00:02:51 loss: 1.7379 Lr: 3.07333e-06 [2025-03-28 02:41:48,344 INFO hook.py line 566 1202667] Train: [99/100][100/255] Data 0.002 (0.032) Batch 0.151 (0.418) Remain 00:02:51 loss: 1.7114 Lr: 2.51366e-06 [2025-03-28 02:42:16,732 INFO hook.py line 566 1202667] Train: [99/100][150/255] Data 0.002 (0.092) Batch 0.135 (0.469) Remain 00:02:48 loss: 1.5316 Lr: 2.01696e-06 [2025-03-28 02:42:37,571 INFO hook.py line 566 1202667] Train: [99/100][200/255] Data 0.003 (0.096) Batch 0.146 (0.456) Remain 00:02:21 loss: 1.6461 Lr: 1.58324e-06 [2025-03-28 02:43:03,683 INFO hook.py line 566 1202667] Train: [99/100][250/255] Data 0.000 (0.079) Batch 0.114 (0.469) Remain 00:02:02 loss: 1.6781 Lr: 1.21254e-06 [2025-03-28 02:43:04,278 INFO misc.py line 135 1202667] Train result: loss: 1.6668 [2025-03-28 02:43:04,310 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 02:43:16,849 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.7992 [2025-03-28 02:43:18,594 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5032 [2025-03-28 02:43:18,892 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6668 [2025-03-28 02:43:19,579 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3854 [2025-03-28 02:43:19,848 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6559 [2025-03-28 02:43:20,131 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9024 [2025-03-28 02:43:23,115 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7250 [2025-03-28 02:43:23,582 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0414 [2025-03-28 02:43:23,783 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2835 [2025-03-28 02:43:24,246 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5669 [2025-03-28 02:43:24,449 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5967 [2025-03-28 02:43:24,604 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4453 [2025-03-28 02:43:24,888 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1604 [2025-03-28 02:43:25,507 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7268 [2025-03-28 02:43:25,825 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7548 [2025-03-28 02:43:27,110 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8113 [2025-03-28 02:43:28,354 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6370 [2025-03-28 02:43:29,373 INFO hook.py line 674 1202667] ######################################## [2025-03-28 02:43:29,373 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 02:43:29,373 INFO hook.py line 680 1202667] ######################################## [2025-03-28 02:43:29,373 INFO hook.py line 689 1202667] ceiling : 0.7961 0.9286 [2025-03-28 02:43:29,373 INFO hook.py line 689 1202667] floor : 0.8594 0.9747 [2025-03-28 02:43:29,373 INFO hook.py line 689 1202667] wall : 0.6771 0.9393 [2025-03-28 02:43:29,373 INFO hook.py line 689 1202667] beam : 0.0006 0.0084 [2025-03-28 02:43:29,373 INFO hook.py line 689 1202667] column : 0.0046 0.0048 [2025-03-28 02:43:29,373 INFO hook.py line 689 1202667] window : 0.1472 0.1559 [2025-03-28 02:43:29,373 INFO hook.py line 689 1202667] door : 0.1029 0.1504 [2025-03-28 02:43:29,373 INFO hook.py line 689 1202667] table : 0.3428 0.4719 [2025-03-28 02:43:29,373 INFO hook.py line 689 1202667] chair : 0.4657 0.6452 [2025-03-28 02:43:29,374 INFO hook.py line 689 1202667] sofa : 0.0042 0.0043 [2025-03-28 02:43:29,374 INFO hook.py line 689 1202667] bookcase : 0.2076 0.2238 [2025-03-28 02:43:29,374 INFO hook.py line 689 1202667] board : 0.3589 0.6004 [2025-03-28 02:43:29,374 INFO hook.py line 689 1202667] clutter : 0.2627 0.4095 [2025-03-28 02:43:29,374 INFO hook.py line 690 1202667] ######################################## [2025-03-28 02:43:29,374 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3254/0.4244/0.7239. [2025-03-28 02:43:29,374 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 02:43:29,402 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 02:43:29,402 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 02:44:05,406 INFO hook.py line 566 1202667] Train: [100/100][50/255] Data 0.002 (0.035) Batch 0.119 (0.499) Remain 00:01:42 loss: 1.7127 Lr: 8.77550e-07 [2025-03-28 02:44:27,074 INFO hook.py line 566 1202667] Train: [100/100][100/255] Data 0.002 (0.060) Batch 0.145 (0.465) Remain 00:01:12 loss: 1.6114 Lr: 6.39204e-07 [2025-03-28 02:44:48,142 INFO hook.py line 566 1202667] Train: [100/100][150/255] Data 0.002 (0.040) Batch 0.136 (0.450) Remain 00:00:47 loss: 1.6228 Lr: 4.63905e-07 [2025-03-28 02:45:16,328 INFO hook.py line 566 1202667] Train: [100/100][200/255] Data 0.003 (0.123) Batch 0.242 (0.479) Remain 00:00:26 loss: 1.7625 Lr: 3.51659e-07 [2025-03-28 02:45:36,139 INFO hook.py line 566 1202667] Train: [100/100][250/255] Data 0.001 (0.134) Batch 0.116 (0.462) Remain 00:00:02 loss: 1.7688 Lr: 3.02472e-07 [2025-03-28 02:45:36,725 INFO misc.py line 135 1202667] Train result: loss: 1.6617 [2025-03-28 02:45:36,751 INFO hook.py line 699 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 02:45:50,607 INFO hook.py line 746 1202667] Interp. Test: [1/17] Loss 1.8039 [2025-03-28 02:45:52,346 INFO hook.py line 746 1202667] Interp. Test: [2/17] Loss 1.5072 [2025-03-28 02:45:52,643 INFO hook.py line 746 1202667] Interp. Test: [3/17] Loss 1.6691 [2025-03-28 02:45:53,325 INFO hook.py line 746 1202667] Interp. Test: [4/17] Loss 1.3884 [2025-03-28 02:45:53,593 INFO hook.py line 746 1202667] Interp. Test: [5/17] Loss 1.6537 [2025-03-28 02:45:53,874 INFO hook.py line 746 1202667] Interp. Test: [6/17] Loss 0.9077 [2025-03-28 02:45:56,855 INFO hook.py line 746 1202667] Interp. Test: [7/17] Loss 1.7195 [2025-03-28 02:45:57,320 INFO hook.py line 746 1202667] Interp. Test: [8/17] Loss 1.0471 [2025-03-28 02:45:57,521 INFO hook.py line 746 1202667] Interp. Test: [9/17] Loss 1.2756 [2025-03-28 02:45:57,986 INFO hook.py line 746 1202667] Interp. Test: [10/17] Loss 1.5657 [2025-03-28 02:45:58,188 INFO hook.py line 746 1202667] Interp. Test: [11/17] Loss 1.5982 [2025-03-28 02:45:58,341 INFO hook.py line 746 1202667] Interp. Test: [12/17] Loss 1.4565 [2025-03-28 02:45:58,624 INFO hook.py line 746 1202667] Interp. Test: [13/17] Loss 2.1634 [2025-03-28 02:45:59,244 INFO hook.py line 746 1202667] Interp. Test: [14/17] Loss 1.7221 [2025-03-28 02:45:59,563 INFO hook.py line 746 1202667] Interp. Test: [15/17] Loss 1.7577 [2025-03-28 02:46:00,847 INFO hook.py line 746 1202667] Interp. Test: [16/17] Loss 1.8096 [2025-03-28 02:46:02,091 INFO hook.py line 746 1202667] Interp. Test: [17/17] Loss 0.6407 [2025-03-28 02:46:03,140 INFO hook.py line 674 1202667] ######################################## [2025-03-28 02:46:03,140 INFO hook.py line 679 1202667] what : mIoU Acc [2025-03-28 02:46:03,141 INFO hook.py line 680 1202667] ######################################## [2025-03-28 02:46:03,141 INFO hook.py line 689 1202667] ceiling : 0.7961 0.9289 [2025-03-28 02:46:03,141 INFO hook.py line 689 1202667] floor : 0.8592 0.9746 [2025-03-28 02:46:03,141 INFO hook.py line 689 1202667] wall : 0.6769 0.9394 [2025-03-28 02:46:03,141 INFO hook.py line 689 1202667] beam : 0.0006 0.0075 [2025-03-28 02:46:03,141 INFO hook.py line 689 1202667] column : 0.0044 0.0047 [2025-03-28 02:46:03,141 INFO hook.py line 689 1202667] window : 0.1463 0.1551 [2025-03-28 02:46:03,141 INFO hook.py line 689 1202667] door : 0.1030 0.1507 [2025-03-28 02:46:03,141 INFO hook.py line 689 1202667] table : 0.3416 0.4706 [2025-03-28 02:46:03,141 INFO hook.py line 689 1202667] chair : 0.4656 0.6473 [2025-03-28 02:46:03,141 INFO hook.py line 689 1202667] sofa : 0.0044 0.0045 [2025-03-28 02:46:03,141 INFO hook.py line 689 1202667] bookcase : 0.2070 0.2231 [2025-03-28 02:46:03,141 INFO hook.py line 689 1202667] board : 0.3570 0.5974 [2025-03-28 02:46:03,141 INFO hook.py line 689 1202667] clutter : 0.2628 0.4091 [2025-03-28 02:46:03,141 INFO hook.py line 690 1202667] ######################################## [2025-03-28 02:46:03,141 INFO hook.py line 691 1202667] Overall: mIoU/mAcc/allAcc 0.3250/0.4241/0.7238. [2025-03-28 02:46:03,142 INFO hook.py line 763 1202667] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< [2025-03-28 02:46:03,169 INFO misc.py line 164 1202667] Currently Best mIoU: 0.3261 [2025-03-28 02:46:03,170 INFO misc.py line 173 1202667] Saving checkpoint to: exp/s3dis/semseg-spunet-base-lin/model/model_last.pth [2025-03-28 02:46:03,376 INFO hook.py line 769 1202667] Best mIoU: 0.3261 [2025-03-28 02:46:03,377 INFO misc.py line 259 1202667] >>>>>>>>>>>>>>>> Start Precise Evaluation >>>>>>>>>>>>>>>> [2025-03-28 02:46:03,379 INFO test.py line 41 1202667] => Loading config ... [2025-03-28 02:46:03,379 INFO test.py line 53 1202667] => Building test dataset & dataloader ... [2025-03-28 02:46:03,380 INFO defaults.py line 68 1202667] Totally 68 x 1 samples in s3dis Area_5 set. [2025-03-28 02:46:03,380 INFO misc.py line 270 1202667] => Testing on model_best ... [2025-03-28 02:46:03,569 INFO test.py line 119 1202667] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> [2025-03-28 02:46:29,483 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 0/254 [2025-03-28 02:46:29,532 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 1/254 [2025-03-28 02:46:29,575 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 2/254 [2025-03-28 02:46:29,612 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 3/254 [2025-03-28 02:46:29,651 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 4/254 [2025-03-28 02:46:29,693 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 5/254 [2025-03-28 02:46:29,740 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 6/254 [2025-03-28 02:46:29,786 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 7/254 [2025-03-28 02:46:29,833 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 8/254 [2025-03-28 02:46:29,882 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 9/254 [2025-03-28 02:46:29,929 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 10/254 [2025-03-28 02:46:29,977 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 11/254 [2025-03-28 02:46:30,031 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 12/254 [2025-03-28 02:46:30,084 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 13/254 [2025-03-28 02:46:30,142 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 14/254 [2025-03-28 02:46:30,199 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 15/254 [2025-03-28 02:46:30,256 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 16/254 [2025-03-28 02:46:30,302 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 17/254 [2025-03-28 02:46:30,349 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 18/254 [2025-03-28 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02:46:40,715 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 229/254 [2025-03-28 02:46:40,751 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 230/254 [2025-03-28 02:46:40,787 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 231/254 [2025-03-28 02:46:40,824 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 232/254 [2025-03-28 02:46:40,860 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 233/254 [2025-03-28 02:46:40,896 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 234/254 [2025-03-28 02:46:40,932 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 235/254 [2025-03-28 02:46:40,966 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 236/254 [2025-03-28 02:46:41,000 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 237/254 [2025-03-28 02:46:41,035 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 238/254 [2025-03-28 02:46:41,070 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 239/254 [2025-03-28 02:46:41,105 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 240/254 [2025-03-28 02:46:41,139 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 241/254 [2025-03-28 02:46:41,174 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 242/254 [2025-03-28 02:46:41,209 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 243/254 [2025-03-28 02:46:41,244 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 244/254 [2025-03-28 02:46:41,279 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 245/254 [2025-03-28 02:46:41,313 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 246/254 [2025-03-28 02:46:41,347 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 247/254 [2025-03-28 02:46:41,382 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 248/254 [2025-03-28 02:46:41,416 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 249/254 [2025-03-28 02:46:41,450 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 250/254 [2025-03-28 02:46:41,484 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 251/254 [2025-03-28 02:46:41,519 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 252/254 [2025-03-28 02:46:41,553 INFO test.py line 201 1202667] Test: 1/17-Area_5-office_12, Batch: 253/254 [2025-03-28 02:46:41,580 INFO test.py line 291 1202667] Test: Area_5-office_12 [1/17]-844731 Batch 12.198 (12.198) Accuracy 0.6426 (0.3841) mIoU 0.2819 (0.2819) [2025-03-28 02:46:41,621 INFO test.py line 201 1202667] Test: 2/17-Area_5-office_20, Batch: 0/273 [2025-03-28 02:46:41,648 INFO test.py line 201 1202667] Test: 2/17-Area_5-office_20, Batch: 1/273 [2025-03-28 02:46:41,675 INFO test.py line 201 1202667] Test: 2/17-Area_5-office_20, Batch: 2/273 [2025-03-28 02:46:41,702 INFO test.py line 201 1202667] Test: 2/17-Area_5-office_20, Batch: 3/273 [2025-03-28 02:46:41,729 INFO test.py line 201 1202667] Test: 2/17-Area_5-office_20, Batch: 4/273 [2025-03-28 02:46:41,755 INFO test.py line 201 1202667] Test: 2/17-Area_5-office_20, Batch: 5/273 [2025-03-28 02:46:41,781 INFO test.py line 201 1202667] Test: 2/17-Area_5-office_20, Batch: 6/273 [2025-03-28 02:46:41,808 INFO test.py line 201 1202667] Test: 2/17-Area_5-office_20, Batch: 7/273 [2025-03-28 02:46:41,835 INFO test.py line 201 1202667] Test: 2/17-Area_5-office_20, Batch: 8/273 [2025-03-28 02:46:41,860 INFO test.py line 201 1202667] Test: 2/17-Area_5-office_20, Batch: 9/273 [2025-03-28 02:46:41,888 INFO test.py line 201 1202667] Test: 2/17-Area_5-office_20, Batch: 10/273 [2025-03-28 02:46:41,915 INFO test.py line 201 1202667] Test: 2/17-Area_5-office_20, Batch: 11/273 [2025-03-28 02:46:41,941 INFO test.py line 201 1202667] Test: 2/17-Area_5-office_20, Batch: 12/273 [2025-03-28 02:46:41,967 INFO test.py line 201 1202667] Test: 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2/17-Area_5-office_20, Batch: 263/273 [2025-03-28 02:46:48,755 INFO test.py line 201 1202667] Test: 2/17-Area_5-office_20, Batch: 264/273 [2025-03-28 02:46:48,929 INFO test.py line 201 1202667] Test: 2/17-Area_5-office_20, Batch: 265/273 [2025-03-28 02:46:49,336 INFO test.py line 201 1202667] Test: 2/17-Area_5-office_20, Batch: 266/273 [2025-03-28 02:46:49,430 INFO test.py line 201 1202667] Test: 2/17-Area_5-office_20, Batch: 267/273 [2025-03-28 02:46:49,485 INFO test.py line 201 1202667] Test: 2/17-Area_5-office_20, Batch: 268/273 [2025-03-28 02:46:49,525 INFO test.py line 201 1202667] Test: 2/17-Area_5-office_20, Batch: 269/273 [2025-03-28 02:46:49,559 INFO test.py line 201 1202667] Test: 2/17-Area_5-office_20, Batch: 270/273 [2025-03-28 02:46:49,589 INFO test.py line 201 1202667] Test: 2/17-Area_5-office_20, Batch: 271/273 [2025-03-28 02:46:49,619 INFO test.py line 201 1202667] Test: 2/17-Area_5-office_20, Batch: 272/273 [2025-03-28 02:46:49,643 INFO test.py line 291 1202667] Test: Area_5-office_20 [2/17]-513674 Batch 8.062 (10.130) Accuracy 0.7628 (0.3960) mIoU 0.3549 (0.3044) [2025-03-28 02:46:50,328 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 0/273 [2025-03-28 02:46:50,372 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 1/273 [2025-03-28 02:46:50,419 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 2/273 [2025-03-28 02:46:50,464 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 3/273 [2025-03-28 02:46:50,508 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 4/273 [2025-03-28 02:46:50,553 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 5/273 [2025-03-28 02:46:50,596 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 6/273 [2025-03-28 02:46:50,636 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 7/273 [2025-03-28 02:46:50,677 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 8/273 [2025-03-28 02:46:50,719 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 9/273 [2025-03-28 02:46:50,759 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 10/273 [2025-03-28 02:46:50,797 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 11/273 [2025-03-28 02:46:50,837 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 12/273 [2025-03-28 02:46:50,875 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 13/273 [2025-03-28 02:46:50,913 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 14/273 [2025-03-28 02:46:50,951 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 15/273 [2025-03-28 02:46:50,989 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 16/273 [2025-03-28 02:46:51,028 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 17/273 [2025-03-28 02:46:51,068 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 18/273 [2025-03-28 02:46:51,108 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 19/273 [2025-03-28 02:46:51,146 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 20/273 [2025-03-28 02:46:51,184 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 21/273 [2025-03-28 02:46:51,222 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 22/273 [2025-03-28 02:46:51,261 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 23/273 [2025-03-28 02:46:51,299 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 24/273 [2025-03-28 02:46:51,337 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 25/273 [2025-03-28 02:46:51,377 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 26/273 [2025-03-28 02:46:51,416 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 27/273 [2025-03-28 02:46:51,455 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 28/273 [2025-03-28 02:46:51,495 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 29/273 [2025-03-28 02:46:51,534 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 30/273 [2025-03-28 02:46:51,573 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 31/273 [2025-03-28 02:46:51,611 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 32/273 [2025-03-28 02:46:51,648 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 33/273 [2025-03-28 02:46:51,685 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 34/273 [2025-03-28 02:46:51,725 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 35/273 [2025-03-28 02:46:51,763 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 36/273 [2025-03-28 02:46:51,805 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 37/273 [2025-03-28 02:46:51,845 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 38/273 [2025-03-28 02:46:51,886 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 39/273 [2025-03-28 02:46:51,928 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 40/273 [2025-03-28 02:46:51,969 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 41/273 [2025-03-28 02:46:52,008 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 42/273 [2025-03-28 02:46:52,049 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 43/273 [2025-03-28 02:46:52,088 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 44/273 [2025-03-28 02:46:52,128 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 45/273 [2025-03-28 02:46:52,171 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 46/273 [2025-03-28 02:46:52,214 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 47/273 [2025-03-28 02:46:52,254 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 48/273 [2025-03-28 02:46:52,296 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 49/273 [2025-03-28 02:46:52,337 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 50/273 [2025-03-28 02:46:52,381 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 51/273 [2025-03-28 02:46:52,420 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 52/273 [2025-03-28 02:46:52,458 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 53/273 [2025-03-28 02:46:52,496 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 54/273 [2025-03-28 02:46:52,533 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 55/273 [2025-03-28 02:46:52,571 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 56/273 [2025-03-28 02:46:52,608 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 57/273 [2025-03-28 02:46:52,645 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 58/273 [2025-03-28 02:46:52,682 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 59/273 [2025-03-28 02:46:52,719 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 60/273 [2025-03-28 02:46:52,756 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 61/273 [2025-03-28 02:46:52,793 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 62/273 [2025-03-28 02:46:52,832 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 63/273 [2025-03-28 02:46:52,870 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 64/273 [2025-03-28 02:46:52,909 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 65/273 [2025-03-28 02:46:52,947 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 66/273 [2025-03-28 02:46:52,986 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 67/273 [2025-03-28 02:46:53,025 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 68/273 [2025-03-28 02:46:53,063 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 69/273 [2025-03-28 02:46:53,102 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 70/273 [2025-03-28 02:46:53,141 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 71/273 [2025-03-28 02:46:53,180 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 72/273 [2025-03-28 02:46:53,219 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 73/273 [2025-03-28 02:46:53,256 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 74/273 [2025-03-28 02:46:53,295 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 75/273 [2025-03-28 02:46:53,333 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 76/273 [2025-03-28 02:46:53,371 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 77/273 [2025-03-28 02:46:53,408 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 78/273 [2025-03-28 02:46:53,446 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 79/273 [2025-03-28 02:46:53,485 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 80/273 [2025-03-28 02:46:53,522 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 81/273 [2025-03-28 02:46:53,559 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 82/273 [2025-03-28 02:46:53,597 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 83/273 [2025-03-28 02:46:53,633 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 84/273 [2025-03-28 02:46:53,668 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 85/273 [2025-03-28 02:46:53,703 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 86/273 [2025-03-28 02:46:53,738 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 87/273 [2025-03-28 02:46:53,773 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 88/273 [2025-03-28 02:46:53,808 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 89/273 [2025-03-28 02:46:53,843 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 90/273 [2025-03-28 02:46:53,878 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 91/273 [2025-03-28 02:46:53,913 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 92/273 [2025-03-28 02:46:53,948 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 93/273 [2025-03-28 02:46:53,983 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 94/273 [2025-03-28 02:46:54,019 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 95/273 [2025-03-28 02:46:54,054 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 96/273 [2025-03-28 02:46:54,088 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 97/273 [2025-03-28 02:46:54,123 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 98/273 [2025-03-28 02:46:54,158 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 99/273 [2025-03-28 02:46:54,193 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 100/273 [2025-03-28 02:46:54,228 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 101/273 [2025-03-28 02:46:54,262 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 102/273 [2025-03-28 02:46:54,298 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 103/273 [2025-03-28 02:46:54,333 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 104/273 [2025-03-28 02:46:54,367 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 105/273 [2025-03-28 02:46:54,402 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 106/273 [2025-03-28 02:46:54,437 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 107/273 [2025-03-28 02:46:54,472 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 108/273 [2025-03-28 02:46:54,507 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 109/273 [2025-03-28 02:46:54,543 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 110/273 [2025-03-28 02:46:54,579 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 111/273 [2025-03-28 02:46:54,616 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 112/273 [2025-03-28 02:46:54,653 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 113/273 [2025-03-28 02:46:54,691 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 114/273 [2025-03-28 02:46:54,728 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 115/273 [2025-03-28 02:46:54,766 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 116/273 [2025-03-28 02:46:54,802 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 117/273 [2025-03-28 02:46:54,839 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 118/273 [2025-03-28 02:46:54,875 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 119/273 [2025-03-28 02:46:54,911 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 120/273 [2025-03-28 02:46:54,949 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 121/273 [2025-03-28 02:46:54,985 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 122/273 [2025-03-28 02:46:55,021 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 123/273 [2025-03-28 02:46:55,057 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 124/273 [2025-03-28 02:46:55,094 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 125/273 [2025-03-28 02:46:55,130 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 126/273 [2025-03-28 02:46:55,166 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 127/273 [2025-03-28 02:46:55,204 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 128/273 [2025-03-28 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02:46:59,192 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 229/273 [2025-03-28 02:46:59,234 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 230/273 [2025-03-28 02:46:59,275 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 231/273 [2025-03-28 02:46:59,316 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 232/273 [2025-03-28 02:46:59,358 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 233/273 [2025-03-28 02:46:59,399 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 234/273 [2025-03-28 02:46:59,442 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 235/273 [2025-03-28 02:46:59,483 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 236/273 [2025-03-28 02:46:59,524 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 237/273 [2025-03-28 02:46:59,567 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 238/273 [2025-03-28 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02:47:00,022 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 249/273 [2025-03-28 02:47:00,062 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 250/273 [2025-03-28 02:47:00,102 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 251/273 [2025-03-28 02:47:00,140 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 252/273 [2025-03-28 02:47:00,178 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 253/273 [2025-03-28 02:47:00,215 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 254/273 [2025-03-28 02:47:00,253 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 255/273 [2025-03-28 02:47:00,291 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 256/273 [2025-03-28 02:47:00,328 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 257/273 [2025-03-28 02:47:00,367 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 258/273 [2025-03-28 02:47:00,404 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 259/273 [2025-03-28 02:47:00,442 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 260/273 [2025-03-28 02:47:00,480 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 261/273 [2025-03-28 02:47:00,517 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 262/273 [2025-03-28 02:47:00,556 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 263/273 [2025-03-28 02:47:00,593 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 264/273 [2025-03-28 02:47:00,631 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 265/273 [2025-03-28 02:47:00,669 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 266/273 [2025-03-28 02:47:00,706 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 267/273 [2025-03-28 02:47:00,744 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 268/273 [2025-03-28 02:47:00,783 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 269/273 [2025-03-28 02:47:00,820 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 270/273 [2025-03-28 02:47:00,858 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 271/273 [2025-03-28 02:47:00,896 INFO test.py line 201 1202667] Test: 3/17-Area_5-office_17, Batch: 272/273 [2025-03-28 02:47:00,928 INFO test.py line 291 1202667] Test: Area_5-office_17 [3/17]-1012866 Batch 10.684 (10.315) Accuracy 0.7044 (0.3918) mIoU 0.2721 (0.2971) [2025-03-28 02:47:28,582 INFO test.py line 201 1202667] Test: 4/17-Area_5-office_21, Batch: 0/282 [2025-03-28 02:47:28,657 INFO test.py line 201 1202667] Test: 4/17-Area_5-office_21, Batch: 1/282 [2025-03-28 02:47:28,740 INFO test.py line 201 1202667] Test: 4/17-Area_5-office_21, Batch: 2/282 [2025-03-28 02:47:28,839 INFO test.py line 201 1202667] Test: 4/17-Area_5-office_21, Batch: 3/282 [2025-03-28 02:47:28,919 INFO test.py line 201 1202667] Test: 4/17-Area_5-office_21, Batch: 4/282 [2025-03-28 02:47:29,001 INFO test.py line 201 1202667] Test: 4/17-Area_5-office_21, Batch: 5/282 [2025-03-28 02:47:29,096 INFO test.py line 201 1202667] Test: 4/17-Area_5-office_21, Batch: 6/282 [2025-03-28 02:47:29,186 INFO test.py line 201 1202667] Test: 4/17-Area_5-office_21, Batch: 7/282 [2025-03-28 02:47:29,265 INFO test.py line 201 1202667] Test: 4/17-Area_5-office_21, Batch: 8/282 [2025-03-28 02:47:29,341 INFO test.py line 201 1202667] Test: 4/17-Area_5-office_21, Batch: 9/282 [2025-03-28 02:47:29,415 INFO test.py line 201 1202667] Test: 4/17-Area_5-office_21, Batch: 10/282 [2025-03-28 02:47:29,481 INFO test.py line 201 1202667] Test: 4/17-Area_5-office_21, Batch: 11/282 [2025-03-28 02:47:29,547 INFO test.py line 201 1202667] Test: 4/17-Area_5-office_21, Batch: 12/282 [2025-03-28 02:47:29,615 INFO test.py line 201 1202667] Test: 4/17-Area_5-office_21, Batch: 13/282 [2025-03-28 02:47:29,683 INFO test.py line 201 1202667] Test: 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[2025-03-28 02:47:49,792 INFO test.py line 201 1202667] Test: 5/17-Area_5-office_33, Batch: 1/259 [2025-03-28 02:47:49,839 INFO test.py line 201 1202667] Test: 5/17-Area_5-office_33, Batch: 2/259 [2025-03-28 02:47:49,880 INFO test.py line 201 1202667] Test: 5/17-Area_5-office_33, Batch: 3/259 [2025-03-28 02:47:49,920 INFO test.py line 201 1202667] Test: 5/17-Area_5-office_33, Batch: 4/259 [2025-03-28 02:47:49,963 INFO test.py line 201 1202667] Test: 5/17-Area_5-office_33, Batch: 5/259 [2025-03-28 02:47:50,005 INFO test.py line 201 1202667] Test: 5/17-Area_5-office_33, Batch: 6/259 [2025-03-28 02:47:50,057 INFO test.py line 201 1202667] Test: 5/17-Area_5-office_33, Batch: 7/259 [2025-03-28 02:47:50,094 INFO test.py line 201 1202667] Test: 5/17-Area_5-office_33, Batch: 8/259 [2025-03-28 02:47:50,152 INFO test.py line 201 1202667] Test: 5/17-Area_5-office_33, Batch: 9/259 [2025-03-28 02:47:50,228 INFO test.py line 201 1202667] Test: 5/17-Area_5-office_33, Batch: 10/259