=pjSSKJrJrJrJrJr SSKrSSKJ r SSK J r J r SSK Jr SSKJr S S KJr \R&\ "S 5"S S \555rg))AnyDictListOptionalUnionN)pipeline_requires_extra) HPIConfigPaddlePredictorOption)DetVideoResult) benchmark) BasePipelinevideoc^\rSrSrSrSrSSSSSSS.S\S\\S \\S \\\\ 4S \\ S \ S \\ \\\ 4\ 4SS4U4SjjjrSS\ \\\\R"\\R"4S\S\S\4SjjrSrU=r$)VideoDetectionPipelinezVideo detection Pipelinevideo_detectionNFdeviceengine engine_config pp_optionuse_hpip hpi_configconfigrrrrrrreturnc >[T U]"SUUUUUUS.UD6 USSn 0n SU ;aU SU S'SU ;aU SU S'UR"U 40U D6Ulg)aInitializes the video detection pipeline. Args: config (Dict): Configuration dictionary containing model and other parameters. device (Optional[str], optional): The device to use for prediction. Defaults to `None`. engine (Optional[str], optional): Inference engine. Defaults to `None`. engine_config (Optional[Dict[str, Any]], optional): Engine-specific config. Defaults to `None`. pp_option (Optional[PaddlePredictorOption], optional): Paddle predictor options. Defaults to `None`. use_hpip (bool, optional): Whether to use HPIP. Defaults to `False`. hpi_config (Optional[Union[Dict[str, Any], HPIConfig]], optional): HPIP configuration. Defaults to `None`. r SubModulesVideoDetection nms_thresh score_threshN)super__init__ create_modelvideo_detection_model) selfrrrrrrrkwargsvideo_detection_model_config model_kwargs __class__s p/var/www/html/pdf-tiff/venv/lib/python3.13/site-packages/paddlex/inference/pipelines/video_detection/pipeline.pyr&VideoDetectionPipeline.__init__!s2  '!   (.l';9#<=>+  + + ` !  S$s)RZZbjj1AAB       r0r)typingrrrrrnumpyr> utils.depsr modelsr r models.video_detection.resultr utils.benchmarkrbaser time_methodsrr$r0r.rKsP4326;( !E \E "E r0