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- _base_ = [
- '_base_/xdecoder-tiny_open-vocab-instance.py',
- 'mmdet::_base_/datasets/ade20k_instance.py'
- ]
- test_pipeline = [
- dict(type='LoadImageFromFile', backend_args=_base_.backend_args),
- dict(type='Resize', scale=(2560, 640), keep_ratio=True),
- 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(return_classes=True, pipeline=test_pipeline))
- test_dataloader = val_dataloader
- test_evaluator = dict(metric=['segm'])
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