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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),
) |