o 0Îjœã@sTddlmZmZmZmZddlmZddlmZm Z ddl m Z Gdd „d e ƒZ d S) é)ÚAnyÚDictÚOptionalÚUnioné)Úloggingé)Ú HPIConfigÚPaddlePredictorOptioné)Ú BasePipelinecs¼eZdZdZdddddddœdeedeedeeeefdeed e d ee eeefe fd df‡fd d „Z dd„Z dd„Zdd„Zdd„Zdd„Zdd„Zdd„Zddd„Z‡ZS)ÚPP_ChatOCR_PipelinezPP-ChatOCR PipelineNF©ÚdeviceÚengineÚ engine_configÚ pp_optionÚuse_hpipÚ hpi_configrrrrrrÚreturnc s$tƒjd||||||dœ|¤ŽdS)a¹Initializes the PP-ChatOCR pipeline. Args: device (Optional[str], optional): The device to use for prediction. Defaults to `None`. engine (Optional[str], optional): Inference engine. Defaults to `None`. engine_config (Optional[Dict[str, Any]], optional): Engine-specific config. Defaults to `None`. pp_option (Optional[PaddlePredictorOption], optional): Paddle predictor options. Defaults to `None`. use_hpip (bool, optional): Whether to use HPIP. Defaults to `False`. hpi_config (Optional[Union[Dict[str, Any], HPIConfig]], optional): HPIP configuration. Defaults to `None`. rN©)ÚsuperÚ__init__)ÚselfrrrrrrÚkwargs©Ú __class__rúu/var/www/html/Deteccion_Ine/venv/lib/python3.10/site-packages/paddlex/inference/pipelines/pp_chatocr/pipeline_base.pyrsú ùzPP_ChatOCR_Pipeline.__init__cCótdƒ‚)a This function takes an input image or a list of images and performs various visual prediction tasks such as document orientation classification, document unwarping, general OCR, seal recognition, and table recognition based on the provided flags. z9The method `visual_predict` has not been implemented yet.©ÚNotImplementedError©rrrrÚvisual_predict:sÿz"PP_ChatOCR_Pipeline.visual_predictcCr)zG Save the visual info list to the specified file path. z@The method `save_visual_info_list` has not been implemented yet.rr!rrrÚsave_visual_info_listEóÿz)PP_ChatOCR_Pipeline.save_visual_info_listcCr)z5 Loads visual info list from a file. z@The method `load_visual_info_list` has not been implemented yet.rr!rrrÚload_visual_info_listMr$z)PP_ChatOCR_Pipeline.load_visual_info_listcCr)zH Build a vector representation from visual information. z7The method `build_vector` has not been implemented yet.rr!rrrÚ build_vectorUr$z PP_ChatOCR_Pipeline.build_vectorcCr)zB Save the vector information to a specified path. z6The method `save_vector` has not been implemented yet.rr!rrrÚ save_vector]r$zPP_ChatOCR_Pipeline.save_vectorcCr)z7 Loads vector information from a file. z6The method `load_vector` has not been implemented yet.rr!rrrÚ load_vectorer$zPP_ChatOCR_Pipeline.load_vectorcCr)z_ Generates chat results based on the provided key list and visual information. z/The method `chat` has not been implemented yet.rr!rrrÚchatmszPP_ChatOCR_Pipeline.chatcOst d¡dS)NzšPP-ChatOCR Pipeline do not support to call `predict()` directly! Please invoke `visual_predict`, `build_vector`, `chat` sequentially to obtain the result.)rÚerror)rÚargsrrrrÚpredictssÿzPP_ChatOCR_Pipeline.predict)rN)Ú__name__Ú __module__Ú __qualname__Ú__doc__rÚstrrrr Úboolrr rr"r#r%r&r'r(r)r,Ú __classcell__rrrrr s>øýüûúùø ö! r N) ÚtypingrrrrÚutilsrÚmodelsr r Úbaser r rrrrÚs