^jddlZddlmcmZddlmZddlmZddl m Z m Z ddl m Z mZddlmZddlmZdd lmZeed Gd d eZd gZy)N) BatchFeature)TorchvisionBackend)group_images_by_shapereorder_images)PILImageResamplingSizeDict)auto_docstring) TensorType)requires)torch)backendsceZdZdZdZdddZejZde dde de d e d e d e d e e e zd zde e e zd zde d zde ezd zdefdZ ddej$de ej$de de ee ej$ffdZy )UVDocImageProcessorTii)heightwidthimagesz torch.Tensor do_resizesize do_rescalerescale_factor do_normalize image_meanN image_stddisable_groupingreturn_tensorsreturnc t|| \} } i}| jD]1\}}|j||||||}|ddgdddddf}|||<3t|| }|j }t|| \} } i}| jD];\}}|r/t j ||j|jfdd}|||<=t|| }t||d| dgS) N)r)rbilinearTrmode align_corners) pixel_valuesoriginal_imagesr&)data tensor_typeskip_tensor_conversion) ritemsrescale_and_normalizercopyF interpolaterrr)selfrrrrrrrrrrkwargsgrouped_imagesgrouped_images_indexprocessed_images_groupedshapestacked_imagesrescale_and_normalize_imagesr&interpolated_images_groupedr%s {/var/www/ramen.bs-engineer-server.com/venv/lib/python3.12/site-packages/transformers/models/uvdoc/image_processing_uvdoc.py _preprocesszUVDocImageProcessor._preprocess*s90EV^n/o,,#% %3%9%9%; = !E>!77 NL*V_N,Ay!Q,>?N.< $U +  =(66NPd'e$6;;=/D (;K0 ,,')#%3%9%9%; @ !E>!""$++tzz)Bcg"2@ ' .  @&&ACWX ".?S&$5#6  predictionr&scalect|}tjt||j}g}t |D] \}}|j dk(r|jd}|j|j}|jdd\}} tj|||dz|| fdd } | jdddd} tj|| d } | jdjddd} | |z} | jd g jtj dd } |j#d| i|S)a Post-process document rectification predictions to convert them into rectified images. Args: prediction: Predicted 2D Bezier mesh coordinates, shape (B, 2, H, W) original_images: List of original input tensors, each of shape (C, H_i, W_i). Images may have different sizes. scale: Scaling factor for output images (default: 255.0) Returns: List of dictionaries containing rectified images. Each dictionary has: - "images": Rectified image tensor of shape (H, W, 3) with dtype torch.uint8 and BGR channel order (suitable for OpenCV visualization) )devicerrrNr r!Tr")r$)dimsF)dtype non_blockingr,r)listr tensorfloatr> enumeratendim unsqueezetor4r-r.permute grid_samplesqueezeflipuint8append)r/r;r&r< image_listresultsioriginal_imageoriginal_heightoriginal_widthupsampled_meshrearranged_mesh rectifiedimages r8#post_process_document_rectificationz7UVDocImageProcessor.post_process_document_rectification[sW&/*  U5\*2C2CD!*:!6 . A~""a'!/!9!9!!<+..z/@/@AN.<.B.B12.F +O^]]1q1u%%~6" N-44Q1a@O noUYZI%%a(00Aq9EEMEJJRDJ),,5;;TX],^E NNHe, -9 .<r:)go@)__name__ __module__ __qualname__rrrrBILINEARresamplerCboolr rEstrr rr9r TensordictrZr:r8rr"sJIC (D!**H/ ^$/ /  /  /  / / DK'$./ 4;&-/ +/ j(4//  / j 5LL5ell+5 5 d3 $% & 5r:r)r torch.nn.functionalnn functionalr-feature_extraction_utilsrimage_processing_backendsrimage_transformsrr image_utilsrr utilsr utils.genericr utils.import_utilsr r__all__rdr:r8rps\, 4;E7#'* :l,ll^ ! !r: