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- dataset_type = 'CocoSegDataset'
- data_root = 'data/coco/'
- backend_args = None
- train_pipeline = [
- dict(type='LoadImageFromFile', backend_args=backend_args),
- dict(
- type='LoadAnnotations',
- with_bbox=False,
- with_label=False,
- with_seg=True),
- dict(type='Resize', scale=(1333, 800), keep_ratio=True),
- dict(type='RandomFlip', prob=0.5),
- dict(type='PackDetInputs')
- ]
- test_pipeline = [
- dict(type='LoadImageFromFile', backend_args=backend_args),
- dict(type='Resize', scale=(1333, 800), keep_ratio=True),
- dict(
- type='LoadAnnotations',
- with_bbox=False,
- with_label=False,
- with_seg=True),
- dict(
- type='PackDetInputs',
- meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor'))
- ]
- train_dataloader = dict(
- batch_size=2,
- num_workers=2,
- persistent_workers=True,
- sampler=dict(type='DefaultSampler', shuffle=True),
- batch_sampler=dict(type='AspectRatioBatchSampler'),
- dataset=dict(
- type=dataset_type,
- data_root=data_root,
- data_prefix=dict(
- img_path='train2017/',
- seg_map_path='stuffthingmaps_semseg/train2017/'),
- pipeline=train_pipeline))
- val_dataloader = dict(
- batch_size=1,
- num_workers=2,
- persistent_workers=True,
- drop_last=False,
- sampler=dict(type='DefaultSampler', shuffle=False),
- dataset=dict(
- type=dataset_type,
- data_root=data_root,
- data_prefix=dict(
- img_path='val2017/',
- seg_map_path='stuffthingmaps_semseg/val2017/'),
- pipeline=test_pipeline))
- test_dataloader = val_dataloader
- val_evaluator = dict(type='SemSegMetric', iou_metrics=['mIoU'])
- test_evaluator = val_evaluator
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