o 0j @sddlmZmZmZmZmZddlZddlm Z ddl m Z m Z ddl mZddlmZd d lmZeje d Gd d d eZdS))AnyDictListOptionalUnionN)pipeline_requires_extra) HPIConfigPaddlePredictorOption)TopkVideoResult) benchmark) BasePipelineZvideocseZdZdZdZddddddddedeedeed eeeefd ee d e d ee eeefe fd dffddZ dde eeeejeejfde edfd efddZZS)VideoClassificationPipelinezVideo Classification PipelineZvideo_classificationNFdeviceengine engine_config pp_optionuse_hpip hpi_configconfigrrrrrrreturnc s<tjd||||||d||dd} || |_dS)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`. rZ SubModulesZVideoClassificationN)super__init__Z create_modelvideo_classification_model) selfrrrrrrrkwargsZ!video_classification_model_config __class__rz/var/www/html/Deteccion_Ine/venv/lib/python3.10/site-packages/paddlex/inference/pipelines/video_classification/pipeline.pyr!s  z$VideoClassificationPipeline.__init__inputtopkcks|j||dEdHdS)aPredicts video classification results for the given input. Args: input (Union[str, list[str], np.ndarray, list[np.ndarray]]): The input image(s) or path(s) to the images. topk: Union[int, None]: The number of top predictions to return. Defaults to 1. **kwargs: Additional keyword arguments that can be passed to the function. Returns: TopkVideoResult: The predicted top k results. )r%N)r)rr$r%rrrr"predictIsz#VideoClassificationPipeline.predict)r#)__name__ __module__ __qualname____doc__entitiesrrstrrr boolrr rrnpZndarrayintr r& __classcell__rrr r"rsD  + r)typingrrrrrnumpyr.Z utils.depsrmodelsr r Z"models.video_classification.resultr Zutils.benchmarkr baserZ time_methodsrrrrr"s