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| # dataset settings | |
| dataset_type = 'NYUDataset' | |
| data_root = 'data/nyu' | |
| train_pipeline = [ | |
| dict(type='LoadImageFromFile'), | |
| dict(type='LoadDepthAnnotation', depth_rescale_factor=1e-3), | |
| dict(type='RandomDepthMix', prob=0.25), | |
| dict(type='RandomFlip', prob=0.5), | |
| dict(type='RandomCrop', crop_size=(480, 480)), | |
| dict( | |
| type='Albu', | |
| transforms=[ | |
| dict(type='RandomBrightnessContrast'), | |
| dict(type='RandomGamma'), | |
| dict(type='HueSaturationValue'), | |
| ]), | |
| dict( | |
| type='PackSegInputs', | |
| meta_keys=('img_path', 'depth_map_path', 'ori_shape', 'img_shape', | |
| 'pad_shape', 'scale_factor', 'flip', 'flip_direction', | |
| 'category_id')), | |
| ] | |
| test_pipeline = [ | |
| dict(type='LoadImageFromFile'), | |
| dict(type='Resize', scale=(2000, 480), keep_ratio=True), | |
| dict(dict(type='LoadDepthAnnotation', depth_rescale_factor=1e-3)), | |
| dict( | |
| type='PackSegInputs', | |
| meta_keys=('img_path', 'depth_map_path', 'ori_shape', 'img_shape', | |
| 'pad_shape', 'scale_factor', 'flip', 'flip_direction', | |
| 'category_id')) | |
| ] | |
| train_dataloader = dict( | |
| batch_size=8, | |
| num_workers=8, | |
| persistent_workers=True, | |
| sampler=dict(type='InfiniteSampler', shuffle=True), | |
| dataset=dict( | |
| type=dataset_type, | |
| data_root=data_root, | |
| data_prefix=dict( | |
| img_path='images/train', depth_map_path='annotations/train'), | |
| pipeline=train_pipeline)) | |
| val_dataloader = dict( | |
| batch_size=1, | |
| num_workers=4, | |
| persistent_workers=True, | |
| sampler=dict(type='DefaultSampler', shuffle=False), | |
| dataset=dict( | |
| type=dataset_type, | |
| data_root=data_root, | |
| test_mode=True, | |
| data_prefix=dict( | |
| img_path='images/test', depth_map_path='annotations/test'), | |
| pipeline=test_pipeline)) | |
| test_dataloader = val_dataloader | |
| val_evaluator = dict( | |
| type='DepthMetric', | |
| min_depth_eval=0.001, | |
| max_depth_eval=10.0, | |
| crop_type='nyu_crop') | |
| test_evaluator = val_evaluator | |