=pj9%SSKJr SSKJrJrJrJr SSKJr SSK J r SSK J r J r SS KJr SS KJrJr SS KJr SS KJrJrJr SS KJr SSKJr SSKJr SSKJ r SSK!J"r" SSK#J$r$ SSK%J&r& SSK'J(r( SSK)J*r* SSK+J,r, SSK-J.r. SSK/J0r0 SSK1J2r2 SSK3J4r4 SSK5J6r6 SSK7J8r8 SSK9J:r:J;r; SSKJ?r? SS K@JArA SS!KBJCrC SS"KDJErE SS#KFJGrG SS$KHJIrIJJrJ SS%KKJLrL SS&KMJNrN SS'KOJPrP SS(KQJRrR SS)KSJTrT SS*KUJVrV S+\WS,\W4S-jrXS.\WS,\\W\44S/jrYS>S0S0S0S0S0S0S0S1.S.\\WS2\\\W\4S3\\WS4\\WS5\\\W\4S6\\ S7\\ZS8\\\\W\4\ 4S9\S,\4S:jjjr[S2\S,\4S;jr\S2\S,\4S<jr]S2\S,\4S=jr^g0)?)Path)AnyDictOptionalUnion)logging) parse_config) HPIConfigPaddlePredictorOption)AnomalyDetectionPipeline)PedestrianAttributeRecPipelineVehicleAttributeRecPipeline) BasePipeline)BaseChatBaseGeneratePrompt BaseRetriever)DocPreprocessorPipeline)DocUnderstandingPipeline)FaceRecPipeline)FormulaRecognitionPipeline)ImageClassificationPipeline)%ImageMultiLabelClassificationPipeline)InstanceSegmentationPipeline)KeypointDetectionPipeline)LayoutParsingPipeline)BEVDet3DPipeline)%MultilingualSpeechRecognitionPipeline)ObjectDetectionPipeline) OCRPipeline)OpenVocabularyDetectionPipeline)"OpenVocabularySegmentationPipeline)PaddleOCRVLPipeline)PP_ChatOCRv3_PipelinePP_ChatOCRv4_Pipeline)PP_DocTranslation_Pipeline)ShiTuV2Pipeline)RotatedObjectDetectionPipeline)SealRecognitionPipeline)SemanticSegmentationPipeline)SmallObjectDetectionPipeline)TableRecognitionPipelineTableRecognitionPipelineV2)TextToSpeechPipeline)TSAnomalyDetPipeline) TSClsPipeline) TSFcPipeline)VideoClassificationPipeline)VideoDetectionPipeline pipeline_namereturnc[[5RRRS- US3- R5n[U5R 5(dgU$)z Get the full path of the pipeline configuration file based on the provided pipeline name. Args: pipeline_name (str): The name of the pipeline. Returns: str: The full path to the pipeline configuration file or None if not found. zconfigs/pipelines.yamlN)r__file__parentresolveexists)r6 pipeline_paths `/var/www/html/pdf-tiff/venv/lib/python3.13/site-packages/paddlex/inference/pipelines/__init__.pyget_pipeline_pathr@<sa X$$++   O5 ! "gi    % % ' ' pipelinecURS5(d4URS5(d[U5nUc[SUS35eOUn[U5nU$)z Load the pipeline configuration. Args: pipeline (str): The name of the pipeline or the path to the config file. Returns: Dict[str, Any]: The parsed pipeline configuration. Raises: Exception: If the config file of pipeline does not exist. z.ymlr9zThe pipeline (zC) does not exist! Please use a pipeline name or a config file path!)endswithr@ Exceptionr )rBr>configs r?load_pipeline_configrGPsj   f % %):):7)C)C)(3    *mn  ! ! - (F MrANrFdeviceengine engine_config pp_optionuse_hpip hpi_configrFrIrJrKrLrMrNkwargsc UcUc [S5eUc [U5nO;Ub(USU:wa[R"SUSUUS5 UR 5nUSn UcUR SS5nOUR SS5 UcUR SS5nOUR SS5 UcUR SS5nOX1S'UcUR S S5nOXAS '[R "U 5"S UUUUUUUS .UD6nU$) aCreate a pipeline instance from a pipeline name or config. Args: pipeline (Optional[str], optional): Pipeline name (e.g. "OCR", "object_detection") or path to a YAML config file. Required if `config` is None. config (Optional[Dict[str, Any]], optional): Pipeline configuration dict. If provided, `pipeline` name is optional and used only for validation. If both are provided and pipeline names differ, `config` takes precedence. device (Optional[str], optional): Device to run on (e.g. "gpu", "cpu", "npu:0"). engine (Optional[str], optional): Inference engine for models in the pipeline. engine_config (Optional[Dict[str, Any]], optional): Engine-specific config. pp_option (Optional[PaddlePredictorOption], optional): Paddle predictor options. use_hpip (Optional[bool], optional): Whether to use HPIP. hpi_config (Optional[Union[Dict[str, Any], HPIConfig]], optional): HPIP configuration. Returns: BasePipeline: The created pipeline instance. Nz=Both `pipeline` and `config` cannot be None at the same time.r6ziThe pipeline name in the config (%r) is different from the specified pipeline name (%r). %r will be used.rMFrNrJrKrH) ValueErrorrGr warningcopypopgetr) rBrFrIrJrKrLrMrNrOr6s r?create_pipelinerWis=>FN K  ~%h/  F?$;x$G OO{''   ?+M::j%0 :t$ZZ d3  <& ~Hd+!x ?D9 "/ . #   H OrAcpSU;a[US5eUSn[R"U5"U5nU$)aCreates an instance of a chat bot based on the provided configuration. Args: config (Dict): Configuration settings, expected to be a dictionary with at least a 'model_name' key. *args: Additional positional arguments. Not used in this function but allowed for future compatibility. **kwargs: Additional keyword arguments. Not used in this function but allowed for future compatibility. Returns: BaseChat: An instance of the chat bot class corresponding to the 'model_name' in the config. chat_bot_config_errorapi_type)rRrrV)rFargsrOrZchat_bots r?create_chat_botr]s?&( 7899j!H||H%f-H OrAcpSU;a[US5eUSn[R"U5"U5nU$)a Creates a retriever instance based on the provided configuration. Args: config (Dict): Configuration settings, expected to be a dictionary with at least a 'model_name' key. *args: Additional positional arguments. Not used in this function but allowed for future compatibility. **kwargs: Additional keyword arguments. Not used in this function but allowed for future compatibility. Returns: BaseRetriever: An instance of a retriever class corresponding to the 'model_name' in the config. retriever_config_errorrZ)rRrrV)rFr[rOrZ retrievers r?create_retrieverrasB  6) 89::j!H!!(+F3I rAcpSU;a[US5eUSn[R"U5"U5nU$)a Creates a prompt engineering instance based on the provided configuration. Args: config (Dict): Configuration settings, expected to be a dictionary with at least a 'task_type' key. *args: Variable length argument list for additional positional arguments. **kwargs: Arbitrary keyword arguments. Returns: BaseGeneratePrompt: An instance of a prompt engineering class corresponding to the 'task_type' in the config. pe_config_error task_type)rRrrV)rFr[rOrdpes r?create_prompt_engineeringrfsA F" 1233{#I    *6 2B IrA)N)_pathlibrtypingrrrrutilsr utils.configr modelsr r anomaly_detectionrattribute_recognitionrrbaser componentsrrrdoc_preprocessorrdoc_understandingrface_recognitionrformula_recognitionrimage_classificationrimage_multilabel_classificationrinstance_segmentationrkeypoint_detectionrlayout_parsingrm_3d_bev_detectionrmultilingual_speech_recognitionr object_detectionr!ocrr"open_vocabulary_detectionr#open_vocabulary_segmentationr$ paddleocr_vlr% pp_chatocrr&r'pp_doctranslationr( pp_shitu_v2r)rotated_object_detectionr*seal_recognitionr+semantic_segmentationr,small_object_detectionr-table_recognitionr.r/text_to_speechr0ts_anomaly_detectionr1ts_classificationr2ts_forecastingr3video_classificationr4video_detectionr5strr@rGboolrWr]rarfrQrAr?rs--(57CC57-;=R?910R5FL-D9(D5?@S06,(=3SS(34S>4#J(,  .215#=AJsmJ T#s(^ $J SM J SM J DcN+ J-.JtnJtCH~y89:JJJZDh&  .  rA