Download baselines/CenterNet2/centernet/data/datasets/coco.py from stereoid/Orienter: direct link, hf CLI and curl.
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https://huggingface.co/stereoid/Orienter/resolve/main/baselines/CenterNet2/centernet/data/datasets/coco.py
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hf download hf://stereoid/Orienter/baselines/CenterNet2/centernet/data/datasets/coco.py
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curl -L -o coco.py https://huggingface.co/stereoid/Orienter/resolve/main/baselines/CenterNet2/centernet/data/datasets/coco.py
1.88 kB
| import os | |
| from detectron2.data.datasets.register_coco import register_coco_instances | |
| from detectron2.data.datasets.coco import load_coco_json | |
| from detectron2.data.datasets.builtin_meta import _get_builtin_metadata | |
| from detectron2.data import DatasetCatalog, MetadataCatalog | |
| def register_distill_coco_instances(name, metadata, json_file, image_root): | |
| """ | |
| add extra_annotation_keys | |
| """ | |
| assert isinstance(name, str), name | |
| assert isinstance(json_file, (str, os.PathLike)), json_file | |
| assert isinstance(image_root, (str, os.PathLike)), image_root | |
| # 1. register a function which returns dicts | |
| DatasetCatalog.register(name, lambda: load_coco_json( | |
| json_file, image_root, name, extra_annotation_keys=['score'])) | |
| # 2. Optionally, add metadata about this dataset, | |
| # since they might be useful in evaluation, visualization or logging | |
| MetadataCatalog.get(name).set( | |
| json_file=json_file, image_root=image_root, evaluator_type="coco", **metadata | |
| ) | |
| _PREDEFINED_SPLITS_COCO = { | |
| "coco_2017_unlabeled": ("coco/unlabeled2017", "coco/annotations/image_info_unlabeled2017.json"), | |
| } | |
| for key, (image_root, json_file) in _PREDEFINED_SPLITS_COCO.items(): | |
| register_coco_instances( | |
| key, | |
| _get_builtin_metadata('coco'), | |
| os.path.join("datasets", json_file) if "://" not in json_file else json_file, | |
| os.path.join("datasets", image_root), | |
| ) | |
| _PREDEFINED_SPLITS_DISTILL_COCO = { | |
| "coco_un_yolov4_55_0.5": ("coco/unlabeled2017", "coco/annotations/yolov4_cocounlabeled_55_ann0.5.json"), | |
| } | |
| for key, (image_root, json_file) in _PREDEFINED_SPLITS_DISTILL_COCO.items(): | |
| register_distill_coco_instances( | |
| key, | |
| _get_builtin_metadata('coco'), | |
| os.path.join("datasets", json_file) if "://" not in json_file else json_file, | |
| os.path.join("datasets", image_root), | |
| ) |