9i SSKJrJrJrJrJr SSKrSSKJ r SSK J r SSK J r SSKJr SS KJr S S KJr \ R(\ "S 5"S S\555rg))AnyDictListOptionalUnionN)pipeline_requires_extra)DetVideoResult) benchmark) HPIConfig)PaddlePredictorOption) BasePipelinevideoc^\rSrSrSrSrSS\S\S\S\ S \ \ \\\ 4\ 4S S4 U4S jjjrSS \ \\\\R"\\R"4S \S\S \4SjjrSrU=r$)VideoDetectionPipelinezVideo detection Pipelinevideo_detectionNconfigdevice pp_optionuse_hpip hpi_configreturnc>[TU]X#XES9 USSn0nSU;aUSUS'SU;aUSUS'UR"U40UD6Ulg)ah Initializes the class with given configurations and options. Args: config (Dict): Configuration dictionary containing model and other parameters. device (str): The device to run the prediction on. Default is None. pp_option (PaddlePredictorOption): Options for PaddlePaddle predictor. Default is None. use_hpip (bool, optional): Whether to use the high-performance inference plugin (HPIP) by default. Defaults to False. hpi_config (Optional[Union[Dict[str, Any], HPIConfig]], optional): The default high-performance inference configuration dictionary. Defaults to None. )rrrr SubModulesVideoDetection nms_thresh score_threshN)super__init__ create_modelvideo_detection_model) selfrrrrrvideo_detection_model_config model_kwargs __class__s t/var/www/html/land-doc-ocr/venv/lib/python3.13/site-packages/paddlex/inference/pipelines/video_detection/pipeline.pyr"VideoDetectionPipeline.__init__"s*   (.l';9#<=> !  ! ! L !  S$s)RZZbjj1AAB       r+r)typingrrrrrnumpyr: utils.depsr models.video_detection.resultr utils.benchmarkr utils.hpir utils.pp_optionrbaser time_methodsrr+r)rIsP432;("4 !; \; "; r+