=pj8SSKJrJrJrJrJrJr SSKrSSK J r SSK J r SSK Jr SSKJr SS KJrJr SS KJr SS KJr S S KJr S SKJr S SKJr SSKJr \R@"SS\55r!\ "S5"SS\55r"g))AnyDictListOptionalTupleUnionN)logging)pipeline_requires_extra)ImageBatchSampler) ReadImage) HPIConfigPaddlePredictorOption) DetResult) benchmark)(AutoParallelImageSimpleInferencePipeline) BasePipeline) CropByBoxes)SealRecognitionResultc!^\rSrSrSrSSSSSSS.S\S\\S\\S \\\\4S \\ S \ S \\ \\\4\ 4S S4U4Sjjjr S\S\S \ 4SjrS\\ S\\ S\\ S \4SjrS#S\ \\\\R(\\R(4S\\ S\\ S\\ S\\ \\\4S\\ \\4S\\ S\\ \\\\44S\\S\\S\\S\\S\\S\\S \\S \4 S!jjrS"rU=r$)$_SealRecognitionPipeline zSeal Recognition PipelineNFdeviceengine engine_config pp_optionuse_hpip hpi_configconfigrrrr r!r"returnc z>[TU]"SUUUUUUS.UD6 URSS5UlUR(a:URS05RSSS05n UR U 5UlURSS5UlUR (aURS 05RS S S 05n 0n U RS S5=n bXS 'U RSS5=n bXS'U RSS5=nbXS'U RSS5=nbXS'UR"U 40U D6UlURS05RSSS05nUR U5Ul [5Ul [URSS5S9Ul [SS9Ulg)aInitializes the seal recognition pipeline. Args: config (Dict): Configuration dictionary containing various settings. 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`. ruse_doc_preprocessorT SubPipelinesDocPreprocessorpipeline_config_errorz+config error for doc_preprocessor_pipeline!use_layout_detection SubModulesLayoutDetectionmodel_config_errorz"config error for layout_det_model! thresholdN layout_nmslayout_unclip_ratiolayout_merge_bboxes_modeSealOCRz#config error for seal_ocr_pipeline! batch_sizer)r3BGR)format)super__init__getr&create_pipelinedoc_preprocessor_pipeliner* create_modellayout_det_modelseal_ocr_pipeliner_crop_by_boxesr batch_samplerr img_reader)selfr#rrrr r!r"kwargsdoc_preprocessor_configlayout_det_config layout_kwargsr.r/r0r1seal_ocr_config __class__s q/var/www/html/pdf-tiff/venv/lib/python3.13/site-packages/paddlex/inference/pipelines/seal_recognition/pipeline.pyr8!_SealRecognitionPipeline.__init__$s2  '!   %+JJ/Et$L!  $ $&,jj&D&H&H!+-Z' # .2-A-A'.D *%+JJ/Et$L!  $ $ & < < @ @!%'KL! M.22;EE R-6k*/33L$GG T.8l+'8'<'<)4(#  8K34,=,A,A.-(  =U89$($5$5!%%2%D !!**^R8<< /1VW "&!5!5o!F)m.&**\ST:UV#51model_settingslayout_det_rescUS(a(UR(d[R"S5 gUS(aBUb[R"S5 gUR(d[R"S5 gg)a? Check if the input parameters are valid based on the initialized models. Args: model_settings (Dict): A dictionary containing input parameters. layout_det_res (DetResult): Layout detection result. Returns: bool: True if all required models are initialized according to input parameters, False otherwise. r&zRSet use_doc_preprocessor, but the models for doc preprocessor are not initialized.Fr*z^The layout detection model has already been initialized, please set use_layout_detection=FalsezRSet use_layout_detection, but the models for layout detection are not initialized.T)r&r errorr*)rBrLrMs rIcheck_model_settings_valid3_SealRecognitionPipeline.check_model_settings_validxsl 0 1$:S:S MMd  0 1) t,, hrKuse_doc_orientation_classifyuse_doc_unwarpingr*cxUcUc URnOUSLdUSLaSnOSnUc URn[UUS9$)a Get the model settings based on the provided parameters or default values. Args: use_doc_orientation_classify (Optional[bool]): Whether to use document orientation classification. use_doc_unwarping (Optional[bool]): Whether to use document unwarping. use_layout_detection (Optional[bool]): Whether to use layout detection. Returns: dict: A dictionary containing the model settings. TF)r&r*)r&r*dict)rBrRrSr*r&s rIget_model_settings+_SealRecognitionPipeline.get_model_settingss]" ( /4E4M#'#<#< +t37HD7P'+$',$  '#'#<#< !5!5  rKinputlayout_thresholdr/r0r1seal_det_limit_side_lenseal_det_limit_typeseal_det_threshseal_det_box_threshseal_det_unclip_ratioseal_rec_score_threshc +# URX#U5nURUU5(dSS0v UnUb#[U[5(dU/n[ U5n[ UR U55GHQunnURUR5nUS(a[URUUUS95nOUVs/sHnSU0PM nnUVs/sHnUSPM nnUS(dVUcSUVs/sHn0PM nn[URUU U U U UUS95nUHnSUS 'M UVs/sHnU/PM nnGO;US(a[URUUUUU S 95nO(/nUH n[U5nURU5 M" /nS /n[!UU5Hqun nUS HHn!U!SR#5S;dMUR%U U!/5n"U"S n"URU"S5 MJ UR['U55 Ms [URUU U U U UUS95n[!USSUSS5V#V$s/sH un#n$UU#U$PM nn#n$UHn%Sn&U%H nU&US 'U&S- n&M M [!UR(UR*UUU5Hun'n(n)nn%U'U(U)UU%US.n*[-U*5v M! GMT gs snfs snfs snfs snf![a [S 5ef=fs sn$n#f7f)NrOz0the input params for model settings are invalid!r&)rRrS output_imgr*)text_det_limit_side_lentext_det_limit_typetext_det_threshtext_det_box_threshtext_det_unclip_ratiotext_rec_score_threshrseal_region_id)r.r/r0r1zNo more layout det resultsrboxeslabel)sealimg) input_path page_indexdoc_preprocessor_resrM seal_res_listrL)rVrP isinstancelistiter enumerater@rA instancesr;r>r=next StopIteration ValueErrorappendziplowerr?len input_paths page_indexesr)+rBrXrRrSr*rMrYr/r0r1rZr[r\r]r^r_rCrLexternal_layout_det_results_ batch_data image_arraysdoc_preprocessor_resultsarritemdoc_preprocessor_imageslayout_det_resultsflat_seal_resultsseal_res seal_results cropped_imgs chunk_indicesdoc_preprocessor_imagebox_info crop_img_infoijseal_results_for_imgrhrnrorpsingle_img_ress+ rIpredict _SealRecognitionPipeline.predicts(00 (=Q ..~~NNNO O&4# & 294@@/J.K+*./J*K '&t'9'9%'@AMAz??:+?+?@L45+/22$5Q*;3,(LX+XA+-??:*N%37$;#G,224@,0,?,? 6 -M-:!,?K  K>K"K>5 K2K>3 K2K>3 K>A K> BK> K8BK>K55 K>)r?r@r;rAr=r>r&r*)NNNNNNNNNNNNNN)__name__ __module__ __qualname____firstlineno____doc__rrstrrrboolrrr8rrPrUrVrnpndarrayfloatrintrr__static_attributes__ __classcell__)rHs@rIrr so# !% $2659AER2R2 R2  R2  S#X/ R212R2R2U4S>9#<=>R2 R2R2h " 4=   D &.tn $D> 'tn    F8<,0/3FJ9=%)KO2615-1+//31515!T<S$s)RZZbjj1AABT<'/tnT<$D> T< 'tn T< !y$y/'A!BC T<#5#56T<TNT<&eE53F,F&GHT<#+3-T<"*#T<&c]T<"%T<&e_T< (T< (!T<$ %T<Trsw;:25&67(@$) m<|m<m<` +F+ +rK