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- # dataset settings
- dataset_type = 'RefCocoDataset'
- data_root = 'data/coco/'
- backend_args = None
- test_pipeline = [
- dict(type='LoadImageFromFile', backend_args=backend_args),
- dict(type='Resize', scale=(1333, 800), keep_ratio=True),
- dict(
- type='LoadAnnotations',
- with_mask=True,
- with_bbox=False,
- with_seg=False,
- with_label=False),
- dict(
- type='PackDetInputs',
- meta_keys=('img_id', 'img_path', 'ori_shape', 'img_shape',
- 'scale_factor', 'gt_masks', 'text'))
- ]
- 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='train2014/'),
- ann_file='refcoco/instances.json',
- split_file='refcoco/refs(unc).p',
- split='val',
- text_mode='select_first',
- pipeline=test_pipeline))
- test_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='train2014/'),
- ann_file='refcoco/instances.json',
- split_file='refcoco/refs(unc).p',
- split='testA', # or 'testB'
- text_mode='select_first',
- pipeline=test_pipeline))
- val_evaluator = dict(type='RefSegMetric', metric=['cIoU', 'mIoU'])
- test_evaluator = val_evaluator
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