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from detectron2.data.datasets.register_coco import register_coco_instances | |
import os | |
from .openimages_categories import categories | |
def _get_builtin_metadata(categories): | |
id_to_name = {x['id']: x['name'] for x in categories} | |
thing_dataset_id_to_contiguous_id = {i + 1: i for i in range(len(categories))} | |
thing_classes = [id_to_name[k] for k in sorted(id_to_name)] | |
return { | |
"thing_dataset_id_to_contiguous_id": thing_dataset_id_to_contiguous_id, | |
"thing_classes": thing_classes} | |
def _get_builtin_metadata(): | |
id_to_name = {x['id']: x['name'] for x in categories} | |
thing_dataset_id_to_contiguous_id = {i + 1: i for i in range(len(categories))} | |
thing_classes = [id_to_name[k] for k in sorted(id_to_name)] | |
return { | |
"thing_dataset_id_to_contiguous_id": thing_dataset_id_to_contiguous_id, | |
"thing_classes": thing_classes} | |
_PREDEFINED_SPLITS_OPENIMAGES = { | |
"openimages_train": ("openimages/detection/", "re_openimages_v6_train_bbox_splitdir_int_ids.json"), | |
"openimages_val": ("openimages/detection/", "re_openimages_v6_train_bbox_splitdir_int_ids.json"), | |
} | |
for key, (image_root, json_file) in _PREDEFINED_SPLITS_OPENIMAGES.items(): | |
register_coco_instances( | |
key, | |
_get_builtin_metadata(), | |
os.path.join("datasets", json_file) if "://" not in json_file else json_file, | |
os.path.join("datasets", image_root), | |
) |