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- _base_ = [
- '_base_/xdecoder-tiny_open-vocab-instance.py',
- 'mmdet::_base_/datasets/coco_instance.py'
- ]
- test_pipeline = [
- dict(
- type='LoadImageFromFile',
- imdecode_backend='pillow',
- backend_args=_base_.backend_args),
- dict(
- type='ResizeShortestEdge', scale=800, max_size=1333, backend='pillow'),
- dict(type='LoadAnnotations', with_bbox=True, with_mask=True),
- dict(
- type='PackDetInputs',
- meta_keys=('img_id', 'img_path', 'ori_shape', 'img_shape',
- 'scale_factor', 'text'))
- ]
- val_dataloader = dict(
- dataset=dict(pipeline=test_pipeline, return_classes=True))
- test_dataloader = val_dataloader
- val_evaluator = dict(metric='segm')
- test_evaluator = val_evaluator
- train_dataloader = None
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