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- # dataset settings
- dataset_type = 'ADE20KPanopticDataset'
- data_root = 'data/ADEChallengeData2016/'
- backend_args = None
- test_pipeline = [
- dict(type='LoadImageFromFile', backend_args=backend_args),
- dict(type='Resize', scale=(2560, 640), 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'))
- ]
- val_dataloader = dict(
- batch_size=1,
- num_workers=0,
- persistent_workers=False,
- drop_last=False,
- sampler=dict(type='DefaultSampler', shuffle=False),
- dataset=dict(
- type=dataset_type,
- data_root=data_root,
- ann_file='ade20k_panoptic_val.json',
- data_prefix=dict(img='images/validation/', seg='ade20k_panoptic_val/'),
- test_mode=True,
- pipeline=test_pipeline,
- backend_args=backend_args))
- test_dataloader = val_dataloader
- val_evaluator = dict(
- type='CocoPanopticMetric',
- ann_file=data_root + 'ade20k_panoptic_val.json',
- seg_prefix=data_root + 'ade20k_panoptic_val/',
- backend_args=backend_args)
- test_evaluator = val_evaluator
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