=pj SSKJrJrJrJrJr SSKrSSKJ r SSK J r J r SSK Jr SSKJr S S KJr \R&\ "S 5"S S \555rg))AnyDictListOptionalUnionN)pipeline_requires_extra) HPIConfigPaddlePredictorOption)TopkVideoResult) benchmark) BasePipelinevideoc ^\rSrSrSrSrSSSSSSS.S\S\\S \\S \\\\ 4S \\ S \ S \\ \\\ 4\ 4SS4U4SjjjrSS\ \\\\R"\\R"4S\ \S4S\4SjjrSrU=r$)VideoClassificationPipelinezVideo Classification Pipelinevideo_classificationNFdeviceengine engine_config pp_optionuse_hpip hpi_configconfigrrrrrrreturnc p>[T U]"SUUUUUUS.UD6 USSn URU 5Ulg)aInitializes the video classification 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 SubModulesVideoClassificationN)super__init__ create_modelvideo_classification_model) selfrrrrrrrkwargs!video_classification_model_config __class__s u/var/www/html/pdf-tiff/venv/lib/python3.13/site-packages/paddlex/inference/pipelines/video_classification/pipeline.pyr$$VideoClassificationPipeline.__init__!s\2  '!   -3<,@AV,W)*.*;*; -+ 'inputtopkc+># URXS9ShvN gN7f)aPredicts video classification results for the given input. Args: input (Union[str, list[str], np.ndarray, list[np.ndarray]]): The input image(s) or path(s) to the images. topk: Union[int, None]: The number of top predictions to return. Defaults to 1. **kwargs: Additional keyword arguments that can be passed to the function. Returns: TopkVideoResult: The predicted top k results. )r/Nr&)r'r.r/r(s r+predict#VideoClassificationPipeline.predictIs"2252DDDs r1))__name__ __module__ __qualname____firstlineno____doc__entitiesrrstrrr boolrr r$rnpndarrayintr r2__static_attributes__ __classcell__)r*s@r+rrs(%H !% $2659AE& &  &  &  S#X/ & 12& & U4S>9#<=>&  & & V"#ES$s)RZZbjj1AABECIE  EEr-r)typingrrrrrnumpyr= utils.depsr modelsr r "models.video_classification.resultr utils.benchmarkrbaser time_methodsrr"r-r+rJsP4326A( !>E,>E">Er-