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- dataset_type = 'CocoPanopticDataset'
- data_root = 'data/coco/'
- backend_args = None
- train_pipeline = [
- dict(type='LoadImageFromFile', backend_args=backend_args),
- dict(type='LoadPanopticAnnotations', backend_args=backend_args),
- 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='LoadPanopticAnnotations', backend_args=backend_args),
- dict(
- type='PackDetInputs',
- meta_keys=('img_id', '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,
- ann_file='annotations/panoptic_train2017.json',
- data_prefix=dict(
- img='train2017/', seg='annotations/panoptic_train2017/'),
- filter_cfg=dict(filter_empty_gt=True, min_size=32),
- pipeline=train_pipeline,
- backend_args=backend_args))
- 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,
- ann_file='annotations/panoptic_val2017.json',
- data_prefix=dict(img='val2017/', seg='annotations/panoptic_val2017/'),
- test_mode=True,
- pipeline=test_pipeline,
- backend_args=backend_args))
- test_dataloader = val_dataloader
- val_evaluator = dict(
- type='CocoPanopticMetric',
- ann_file=data_root + 'annotations/panoptic_val2017.json',
- seg_prefix=data_root + 'annotations/panoptic_val2017/',
- backend_args=backend_args)
- test_evaluator = val_evaluator
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