o Ďi;@s`ddlmZddlZddlmZddlmZmZ     ddddZe dkr.e edSdS)) annotationsN)Coco)Pathincrement_path?runs/coco2yoloexpF image_dirstrdataset_json_path train_split int | floatprojectnameseedintc CsNttt||dd}tj||d}|jt||||dtd|dS)a Args: images_dir (str): directory for coco images dataset_json_path (str): file path for the coco json file to be converted train_split (float or int): set the training split ratio project (str): save results to project/name name (str): save results to project/name" seed (int): fix the seed for reproducibility disable_symlink (bool): required in google colab env F)exist_ok)coco_dict_or_pathr ) output_dirtrain_split_rate numpy_seeddisable_symlinkz=COCO to YOLO conversion results are successfully exported to N)rrrfrom_coco_dict_or_pathexport_as_yolor print) r r r rrrrsave_dircocorR/home/jeff/fluffinator/venv/lib/python3.10/site-packages/sahi/scripts/coco2yolo.pymain sr __main__)rrrr F) r r r r r rrr rr rr) __future__rfiresahi.utils.cocorsahi.utils.filerrr __name__Firerrrrs   &