jddlmZddlmZddlZddlmZmZddlm Z ddl m Z ddl m Z e e d Zdd ed ed dfdZdd ed ed dfdZded ed dfdZdS))partial)PathN)YAMLIterableSimpleNamespace) check_yaml)BOTSORT) BYTETracker) bytetrackbotsortF predictorpersistreturnc jjdkrtdtdr|rdSt jj}t ditj|}|j dvrtd|j dd_ tdrj |j d kr|jr|jd krd d lm}t%jjt&jjrAt%jjjd |rjjjd jrd|_n4fd}jjjd |_ g}t1jjD]E}t7|j |d}||jjdkrnF|_dgjjz_dS)aInitialize trackers for object tracking during prediction. Args: predictor (ultralytics.engine.predictor.BasePredictor): The predictor object to initialize trackers for. persist (bool, optional): Whether to persist the trackers if they already exist. 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 ''_hookr autor)Detectzyolo26n-cls.ptc<t|d_dS)Nr)list_feats)moduleinputr s _/home/longshao/multi-rider-rag/.venv/lib/python3.11/site-packages/ultralytics/trackers/track.pypre_hookz"on_predict_start..pre_hook8s#'a>>    )args frame_ratestream) r!task ValueErrorhasattrrtrackerrrload tracker_typeAssertionErrorrrremove with_reidmodelultralytics.nn.modules.headr isinstancetorchnnModuleend2endregister_forward_pre_hookrangedatasetbs TRACKER_MAPappendmodervid_path)r rr(cfgrrr_s` ron_predict_startr?s-~j((JKKKy*%%'/00G ! 7 7DIg$6$6 7 7C 777r_b_orrrsssIy'""!    9$$$39;N;N666666 y,eho > > b9?06r:FCC bO)/3; b )CII 2 2 2 2 2(o39"=WWX`aaIOH 9$' ( (c./SRHHH     !X - - E .!I)"3"66Irc |jjdk}|jjdk}t |jD]V\}}|j|r|nd}|jt|j j z }|s7|j |r|nd|kr"| ||j |r|nd<|r|j n|j}|||jt'|dd} t)| dkr| dddft,} || |j|<|rdndt/j| ddddfi} |j|jdi| XdS) aPostprocess detected boxes and update with object tracking. Args: predictor (object): The predictor object containing the predictions. persist (bool, optional): Whether to persist the trackers if they already exist. Examples: Postprocess predictions and update with tracking >>> predictor = YourPredictorClass() >>> on_predict_postprocess_end(predictor, persist=True) obbr#rfeatsNrboxesr$)r!r%r7r; enumerateresultsrsave_dirrpathnamer<resetrArCcpunumpyupdateorig_imggetattrlenastypeintr1 as_tensor) r ris_obb is_streamiresultr(r<dettracksidx update_argss ron_predict_postprocess_endr[Gs^ E )F!&(2Iy01133 6$)%:QQ;%V[(9(9(>> A9-9.Caa!DPP MMOOO8@I I4qq1 5#5vzz::<<BBDDV_gfgt6T6TUU v;;!   QQQUm""3''%c{ ! &3uuGU_VAAAsPRsF^5T5TU # !#22k222233rr.c|dtt||dtt|dS)aRegister tracking callbacks to the model for object tracking during prediction. Args: model (object): The model object to register tracking callbacks for. persist (bool): Whether to persist the trackers if they already exist. Examples: Register tracking callbacks to a YOLO model >>> model = YOLOModel() >>> register_tracker(model, persist=True) r?)rr[N) add_callbackrr?r[)r.rs rregister_trackerr^gsU )73CW+U+U+UVVV 3W=Wah5i5i5ijjjjjr)F) functoolsrpathlibrr1ultralytics.utilsrrultralytics.utils.checksrbot_sortr byte_trackerr r9objectboolr?r[r^r$rrrgs+ ;;;;;;;;//////%%%%%%(G<< 27272727$27272727j33&343D3333@ kF kT kd k k k k k kr