o W h@sddlmZddlmZddlZddlmZmZddlm Z ddl m Z ddl m Z e e d Zdd ed ed dfddZdd ed ed dfddZded ed dfddZdS))partial)PathN)IterableSimpleNamespace yaml_load) check_yaml)BOTSORT) BYTETracker) bytetrackbotsortF predictorpersistreturncsLjjdkr tdtdr|rdStjj}tdit|}|jdvr0t d|jd|jdkrx|j rx|j d krxd d l m }tj j tjjr^tj j j d |r^j j j d jrbd |_ nd_d_fdd}j j j d |g}tjjD]}t|j|dd}||jjdkrnq|_dgjj_dS)aE Initialize trackers for object tracking during prediction. Args: predictor (object): The predictor object to initialize trackers for. persist (bool): Whether to persist the trackers if they already exist. Raises: AssertionError: If the tracker_type is not 'bytetrack' or 'botsort'. ValueError: If the task is 'classify' as classification doesn't support tracking. Examples: Initialize trackers for a predictor object: >>> predictor = SomePredictorClass() >>> on_predict_start(predictor, persist=True) classifyu/❌ Classification doesn't support 'mode=track'trackersN>r r z?Only 'bytetrack' and 'botsort' are supported for now, but got ''r autor)Detectzyolo11n-cls.ptTcs|d_dS)Nr)_feats)moduleinputoutputr N/var/www/vscode/kcb/lib/python3.10/site-packages/ultralytics/trackers/track.py capture_io=sz$on_predict_start..capture_io)args frame_ratestreamr)rtask ValueErrorhasattrrtrackerrr tracker_typeAssertionError with_reidmodelultralytics.nn.modules.headr isinstancetorchnnModuleend2end save_featsrregister_forward_hookrangedatasetbs TRACKER_MAPappendmodervid_path)r r r$cfgrrr_rrron_predict_starts<       r:c Cs4|jjdk}|jjdk}t|jD]\}}|j|r|nd}|jt|j j }|sA|j |r/|nd|krA| ||j |r?|nd<|rF|j n|j}t|dkrTq|||jt|dd} t| dkrgq| dddft} || |j|<|r}dndt| ddddfi} |j|jdi| qdS) a Postprocess detected boxes and update with object tracking. Args: predictor (object): The predictor object containing the predictions. persist (bool): Whether to persist the trackers if they already exist. Examples: Postprocess predictions and update with tracking >>> predictor = YourPredictorClass() >>> on_predict_postprocess_end(predictor, persist=True) obbr rfeatsNrboxesr)rr!r2r6 enumerateresultsrsave_dirrpathnamer7resetr;r=cpunumpylenupdateorig_imggetattrastypeintr+ as_tensor) r r is_obb is_streamiresultr$r7dettracksidx update_argsrrron_predict_postprocess_endLs&   &rUr(cCs,|dtt|d|dtt|ddS)a Register tracking callbacks to the model for object tracking during prediction. Args: model (object): The model object to register tracking callbacks for. persist (bool): Whether to persist the trackers if they already exist. Examples: Register tracking callbacks to a YOLO model >>> model = YOLOModel() >>> register_tracker(model, persist=True) r:)r rUN) add_callbackrr:rU)r(r rrrregister_trackeros rW)F) functoolsrpathlibrr+ultralytics.utilsrrultralytics.utils.checksrbot_sortr byte_trackerr r4objectboolr:rUrWrrrrs      :#