{-jddlmZmZmZmZmZddlZddlm Z ddl m Z m Z ddl mZddlmZd d lmZeje d Gd d eZdS))AnyDictListOptionalUnionN)pipeline_requires_extra) HPIConfigPaddlePredictorOption)DetVideoResult) benchmark) BasePipelinevideoc"eZdZdZdZddddddddedeedeed eeeefd ee d e d ee eeefe fd dffdZ dde eeeejeejfdeded efdZxZS)VideoDetectionPipelinezVideo detection Pipelinevideo_detectionNFdeviceengine engine_config pp_optionuse_hpip hpi_configconfigrrrrrrreturnc tjd||||||d||dd} i} d| vr | d| d<d| vr | d| d<|j| fi| |_dS)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 t/var/www/html/banglarbhumi/venv/lib/python3.11/site-packages/paddlex/inference/pipelines/video_detection/pipeline.pyr%zVideoDetectionPipeline.__init__!s2  '!      (.l';9#<=>+  + + + + + + ` !   S$s)RZbj1AAB             r.r)typingrrrrrnumpyr; utils.depsr modelsr r models.video_detection.resultr utils.benchmarkrbaser time_methodsrr#r.r-rGs4333333333333322222266666666;;;;;;(((((( !!E E E E E \E E "!E E E r.