[Feature] Support CityScapesDetection Metric #103
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BIGWangYuDong
commented
Mar 1, 2023
BIGWangYuDong
commented
Mar 2, 2023
BIGWangYuDong
commented
Mar 2, 2023
C1rN09
reviewed
Mar 2, 2023
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| >>> dataset_metas = { | ||
| ... 'classes': ('person', 'rider', 'car', 'truck', 'bus', 'train', | ||
| ... 'motorcycle', 'bicycle') | ||
| ... } |
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If dataset_meta is required in this Metric, it must be explained in the docstring
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| cityscapes_det_metric = CityScapesDetection( | ||
| dataset_meta=dataset_metas, | ||
| format_only=True, | ||
| outfile_prefix=osp.join(tmp_dir.name, 'test'), | ||
| seg_prefix=seg_prefix, | ||
| keep_results=True, | ||
| keep_gt_json=True, | ||
| classwise=True) | ||
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| eval_results = cityscapes_det_metric( | ||
| predictions=predictions, groundtruths=groundtruths) | ||
| assert osp.exists(f'{osp.join(tmp_dir.name, "test")}') | ||
| assert eval_results == dict() |
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Should add a test case: call metric.add >= 2 times and then metric.compute
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already compute 2 times. len(predictions) == len(groundtruths) == 2
C1rN09
reviewed
Mar 2, 2023
BIGWangYuDong
commented
Mar 8, 2023
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