o
    0j                     @   s   d dl mZmZmZmZmZ d dlZddlm	Z	 ddl
mZmZ ddlmZ ddlmZ d	d
lmZ eje	dG dd deZdS )    )AnyDictListOptionalUnionN   )pipeline_requires_extra   )	HPIConfigPaddlePredictorOption)DetVideoResult)	benchmark   )BasePipelineZvideoc                       s   e Zd ZdZdZddddddddedee dee d	eeeef  d
ee	 de
deeeeef ef  ddf fddZ		ddeeee ejeej f dededefddZ  ZS )VideoDetectionPipelinezVideo detection PipelineZvideo_detectionNFdeviceengineengine_config	pp_optionuse_hpip
hpi_configconfigr   r   r   r   r   r   returnc             	      sp   t  jd||||||d| |d d }	i }
d|	v r"|	d |
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d< | j|	fi |
| _dS )a  Initializes 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   Z
SubModulesZVideoDetection
nms_threshscore_threshN )super__init__Zcreate_modelvideo_detection_model)selfr   r   r   r   r   r   r   kwargsZvideo_detection_model_configZmodel_kwargs	__class__r   u/var/www/html/Deteccion_Ine/venv/lib/python3.10/site-packages/paddlex/inference/pipelines/video_detection/pipeline.pyr   !   s*   
zVideoDetectionPipeline.__init__      ?皙?inputr   r   c                 k   s    | j |||dE dH  dS )ao  Predicts video detection 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.
            **kwargs: Additional keyword arguments that can be passed to the function.

        Returns:
            DetVideoResult: The predicted video detection results.
        )r   r   N)r   )r    r'   r   r   r!   r   r   r$   predictN   s   zVideoDetectionPipeline.predict)r%   r&   )__name__
__module____qualname____doc__entitiesr   r   strr   r   boolr   r
   r   r   npZndarrayfloatr   r(   __classcell__r   r   r"   r$   r      sJ    	0r   )typingr   r   r   r   r   numpyr0   Z
utils.depsr   modelsr
   r   Zmodels.video_detection.resultr   Zutils.benchmarkr   baser   Ztime_methodsr   r   r   r   r$   <module>   s   