def save_image_data(fold, id_, tags, dset=None,
model_tags=None, model_probs=None):
dset = get_random_dset() if dset is None else dset
entry = data.make_entry(tags, model_tags, model_probs)
data.move_unlabeled_to_labeled(fold, dset, id_, entry)
data.save_fold(fold)
data.update_counts(fold["name"])
def save_obj_detect_image(id_, project, annos, dset=None):
dset = get_random_dset() if dset is None else dset
entry = data.make_obj_detect_entry(annos)
fold = data.load_fold(project)
if id_ in fold[cfg.UNLABELED]:
data.move_unlabeled_to_labeled(fold, dset, id_, entry)
else:
for dset in [cfg.VAL, cfg.TRAIN]:
if id_ in fold[dset]:
fold[dset][id_] = entry
break