jXddlmZddlmZddlmZddlmZdgZGddeZ dS) )Any)KIEDocumentBuilder)OrientationPredictor) _OCRPredictor _KIEPredictorcneZdZUdZedzed<edzed< ddeded ed ed ed ed dffd ZxZ S)raImplements an object able to localize and identify text elements in a set of documents Args: assume_straight_pages: if True, speeds up the inference by assuming you only pass straight pages without rotated textual elements. straighten_pages: if True, estimates the page general orientation based on the median line orientation. Then, rotates page before passing it to the deep learning modules. The final predictions will be remapped accordingly. Doing so will improve performances for documents with page-uniform rotations. preserve_aspect_ratio: if True, resize preserving the aspect ratio (with padding) symmetric_pad: if True and preserve_aspect_ratio is True, pas the image symmetrically. detect_orientation: if True, the estimated general page orientation will be added to the predictions for each page. Doing so will slightly deteriorate the overall latency. kwargs: keyword args of `DocumentBuilder` Ncrop_orientation_predictorpage_orientation_predictorTFassume_straight_pagesstraighten_pagespreserve_aspect_ratio symmetric_paddetect_orientationkwargsreturnc tj|||||fi||dd|ddtdi||_dS)Ndisable_page_orientationdisable_crop_orientation)super__init__popr doc_builder)selfr r rrrr __class__s b/var/www/html/Carbon-Document/venv/lib/python3.11/site-packages/doctr/models/kie_predictor/base.pyrz_KIEPredictor.__init__#s  !#35JM[m  qw    -t444 -t444/A/K/KF/K/K)TFTTF) __name__ __module__ __qualname____doc__r__annotations__boolrr __classcell__)rs@rrrs  !5t ;;;; 4t ;;;;'+!&&*"#( LL#LL $ L  L ! LL LLLLLLLLLLrN) typingrdoctr.models.builderrclassification.predictorrpredictor.baser__all__rrrrr+s 333333;;;;;;******  $L$L$L$L$LM$L$L$L$L$Lr