42 lines
1.3 KiB
Python
42 lines
1.3 KiB
Python
dataset_type = 'SynapseDataset'
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data_root = 'data/synapse/'
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img_scale = (224, 224)
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train_pipeline = [
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dict(type='LoadImageFromFile'),
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dict(type='LoadAnnotations'),
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dict(type='Resize', scale=img_scale, keep_ratio=True),
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dict(type='RandomRotFlip', rotate_prob=0.5, flip_prob=0.5, degree=20),
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dict(type='PackSegInputs')
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]
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test_pipeline = [
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dict(type='LoadImageFromFile'),
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dict(type='Resize', scale=img_scale, keep_ratio=True),
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dict(type='LoadAnnotations'),
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dict(type='PackSegInputs')
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]
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train_dataloader = dict(
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batch_size=6,
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num_workers=2,
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persistent_workers=True,
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sampler=dict(type='InfiniteSampler', shuffle=True),
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dataset=dict(
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type=dataset_type,
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data_root=data_root,
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data_prefix=dict(
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img_path='img_dir/train', seg_map_path='ann_dir/train'),
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pipeline=train_pipeline))
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val_dataloader = dict(
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batch_size=1,
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num_workers=4,
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persistent_workers=True,
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sampler=dict(type='DefaultSampler', shuffle=False),
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dataset=dict(
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type=dataset_type,
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data_root=data_root,
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data_prefix=dict(img_path='img_dir/val', seg_map_path='ann_dir/val'),
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pipeline=test_pipeline))
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test_dataloader = val_dataloader
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val_evaluator = dict(type='IoUMetric', iou_metrics=['mDice'])
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test_evaluator = val_evaluator
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