+ j/2Rt^RIt^RIt^RIHt^RIHt^RIH t H t H t ^RI H t HtHtHt^RIHtHt^RIHtHtHtHtHt]!4'd^RIt^RIHt]P<!]4t R t!RR R llt"!R R ]RR7t#]!RR]44t$R.t%R#)z%Image processor class for LayoutLMv2.N)TorchvisionBackend) BatchFeature)group_images_by_shapereorder_images to_pil_image)ChannelDimension ImageInputPILImageResamplingSizeDict) ImagesKwargsUnpack) TensorTypeauto_docstringis_pytesseract_availableloggingrequires_backends) functionalc\RV^,V, ,4\RV^,V, ,4\RV^,V, ,4\RV^,V, ,4.#)i)int)boxwidthheights&&&{/home/luca/screen-checking/.venv/lib/python3.14/site-packages/transformers/models/layoutlmv2/image_processing_layoutlmv2.py normalize_boxr*s` DCFUN #$ DCFVO $% DCFUN #$ DCFVO $%  c V^8dQhRRR\R,R\R,R\\,R,/#)imageznp.ndarray | torch.TensorlangNtesseract_configinput_data_format)strr)formats"r __annotate__r#3sC,#,# &,# *,#Dj,#--4 ,#rc\\R.4\VR4'd VP4P 4pM6\ V\ P4'g\ P!V4pVeTMRp\WR7pVPwrV\P!WARVR7pVR,VR,VR ,VR ,VR ,3wrrp \V4U Uu.uFwrVP4'dKV NK! pp p\V4U Uu.uFwrW9gK VNK pp p\V 4U Uu.uFwp pW9gKVNK p p p\V 4U Uu.uFwp pW9gKVNK p p p\V 4U Uu.uFwp pW9gKVNK p p p\V 4U Uu.uFwp pW9gKVNK p p p.p\WW4F-wppppVVVV,VV,.pVP!V4K/ .pVFpVP!\#VWV44K \%V4\%V48XgQR 4hVV3#uupp iuupp iuupp iuupp iuupp iuupp i) zdApplies Tesseract OCR on a document image, and returns recognized words + normalized bounding boxes. pytesseractcpur dict)r output_typeconfigtextlefttoprrz-Not as many words as there are bounding boxes)rapply_tesseracthasattrr&numpy isinstancenpndarrayarrayrsizer% image_to_data enumeratestripzipappendrlen)rrrr pil_image image_width image_heightdatawordsr-r.rridxwordirrelevant_indicescoord actual_boxesxywh actual_boxnormalized_boxesrs&&&& rr/r/3sGo 7ue !!# rzz * *+;+G'RUHI )K  $ $YvVf gD&*6lDL$u+tT[}^bck^l&l#EV09/?T/?)#tzz|##/?T#,U#3 U#3ics7TTT#3E U$-dO UOjc5s7TEEOD U#,S> S>ZS%S5R55>C S%.u%5 W%5zsE9VUU%5E W&/&7 Y&7 U3;Xee&7F YL$U3 1aAE1q5) J'4  c; MN u:-. ._0__ . " "")U U U S W YsH0I#I#& I)5I) I/I/3 I5I5 I;*I; JJc0a]tRt^btoRtV3RltRtVtR#)LayoutLMv2ImageProcessorKwargsa apply_ocr (`bool`, *optional*, defaults to `self.apply_ocr`): Whether to apply the Tesseract OCR engine to get words + normalized bounding boxes. Can be overridden by the `apply_ocr` parameter in the `preprocess` method. ocr_lang (`str`, *optional*): The language, specified by its ISO code, to be used by the Tesseract OCR engine. By default, English is used. Can be overridden by the `ocr_lang` parameter in the `preprocess` method. tesseract_config (`str`, *optional*): Any additional custom configuration flags that are forwarded to the `config` parameter when calling Tesseract. For example: '--psm 6'. Can be overridden by the `tesseract_config` parameter in the `preprocess` method. cZ<V^8dQh/S[;R&S[R,;R&S[R,;R&#)r apply_ocrNocr_langr)boolr!)r" __classdict__s"rr#+LayoutLMv2ImageProcessorKwargs.__annotate__bs3ODj Dj !rN)__name__ __module__ __qualname____firstlineno____doc____annotate_func____static_attributes____classdictcell__)rSs@rrNrNbs rrNF)totalcaa]tRt^uto]t]PtR^R^/t Rt Rt Rt Rt RtV3RlV3Rllt]V3RlV3R ll4tR V3R lR lltR tVtV;t#)LayoutLMv2ImageProcessorrrNTr'c0<V^8dQhRS[S[,/#)rkwargs)r rN)r"rSs"rr#%LayoutLMv2ImageProcessor.__annotate__s##(F!G#rc (<\SV`!R/VBR#)NrU)super__init__)selfrb __class__s&,rrf!LayoutLMv2ImageProcessor.__init__s "6"rc<<V^8dQhRS[RS[S[,RS[/#)rimagesrbreturn)rr rNr)r"rSs"rr#rcs)444v>\7]4bn4rc &<\SV`!V3/VB#)N)re preprocess)rgrkrbrhs&&,rrn#LayoutLMv2ImageProcessor.preprocesssw!&3F33rc<V^8dQhRS[R,RS[RS[RRRS[R,R S[S[,R,R S[R S[R,R S[R,R S[/ #)rrkz torch.Tensor do_resizer6resamplez7PILImageResampling | tvF.InterpolationMode | int | Nonedisable_groupingNreturn_tensorsrPrQrrl)listrRr r!r r)r"rSs"rr#rcs77^$77 7 L 7 + 7j(4/77*7*7 7rc  V'd\VR4.p .p VFxp V P'd\PR4\ V P 4W\ PR7wrV PV4V PV4Kz \WR7wpp/pVP4F&wppV'dVPVW4R7pVVV&K( \VV4p\VVR7wpp/pVP4FwppVP^4pVVV&K \VV4p\RV/VR7pV'd X VR&X VR&V#) r%z]apply_ocr can only be performed on cpu. Tensors will be transferred to cpu before processing.r()rs)rr6rr pixel_values)r@ tensor_typerAboxes)ris_cudalogger warning_oncer/r&rFIRSTr;ritemsresizerflipr)rgrkrqr6rrrsrtrPrQrrb words_batch boxes_batchrrArygrouped_imagesgrouped_images_indexresized_images_groupedshapestacked_imagesresized_imagesprocessed_images_groupedprocessed_imagesr@s&&&&&&&&&&, r _preprocess$LayoutLMv2ImageProcessor._preprocesssm  dM 2KK===''w /IIKO_OeOe  ""5)""5) 0EV/o,,!#%3%9%9%; !E>!%>!`,: "5 )&<((>@TU0E^fv/w,,#% %3%9%9%; !E>+003N.< $U +&< **BDXY.2B!CQ_` 'DM'DM rrU)TNN)rVrWrXrYrN valid_kwargsr BILINEARrrr6rescale_factorrqrPrQrrfrrnrr\r] __classcell__)rhrSs@@rr`r`uso1L!**H c7C (DNIIH##444777rr`)NN)&rZr1r3torchimage_processing_backendsrimage_processing_utilsrimage_transformsrrr image_utilsrrr r processing_utilsr r utilsr rrrrr%torchvision.transforms.v2rtvF get_loggerrVr{rr/rNr`__all__rUrrrs, ;2SSUU47   H %,#^!\!&H1HHV & &r