Spaces:
Runtime error
Runtime error
File size: 1,326 Bytes
412c852 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 |
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
|