| dataset_type = 'SynapseDataset' |
| data_root = 'data/synapse/' |
| img_scale = (224, 224) |
| train_pipeline = [ |
| dict(type='LoadImageFromFile'), |
| dict(type='LoadAnnotations'), |
| dict(type='Resize', scale=img_scale, keep_ratio=True), |
| dict(type='RandomRotFlip', rotate_prob=0.5, flip_prob=0.5, degree=20), |
| dict(type='PackSegInputs') |
| ] |
| test_pipeline = [ |
| dict(type='LoadImageFromFile'), |
| dict(type='Resize', scale=img_scale, keep_ratio=True), |
| dict(type='LoadAnnotations'), |
| dict(type='PackSegInputs') |
| ] |
| train_dataloader = dict( |
| batch_size=6, |
| num_workers=2, |
| persistent_workers=True, |
| sampler=dict(type='InfiniteSampler', shuffle=True), |
| dataset=dict( |
| type=dataset_type, |
| data_root=data_root, |
| data_prefix=dict( |
| img_path='img_dir/train', seg_map_path='ann_dir/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, |
| data_prefix=dict(img_path='img_dir/val', seg_map_path='ann_dir/val'), |
| pipeline=test_pipeline)) |
| test_dataloader = val_dataloader |
|
|
| val_evaluator = dict(type='IoUMetric', iou_metrics=['mDice']) |
| test_evaluator = val_evaluator |
|
|
