a  d#@sdZddlmmZddlZdZdZejj dd d Z d d Z d dZ ddZ ddZedfddZedfddZddedfddZGdddZdS)z Tensorflow Preprocessing Adapter Allows use of Tensorflow preprocessing pipeline in PyTorch Transform Copyright of original Tensorflow code below. Hacked together by / Copyright 2020 Ross Wightman N 皙??gHzG?g??dc Cst|d||gtj|}tjj||||||dd}|\} } } t| \} } } t| \}}} t| | ||g}tjj||dd}|WdS1s0YdS)aGenerates cropped_image using one of the bboxes randomly distorted. See `tf.image.sample_distorted_bounding_box` for more documentation. Args: image_bytes: `Tensor` of binary image data. bbox: `Tensor` of bounding boxes arranged `[1, num_boxes, coords]` where each coordinate is [0, 1) and the coordinates are arranged as `[ymin, xmin, ymax, xmax]`. If num_boxes is 0 then use the whole image. min_object_covered: An optional `float`. Defaults to `0.1`. The cropped area of the image must contain at least this fraction of any bounding box supplied. aspect_ratio_range: An optional list of `float`s. The cropped area of the image must have an aspect ratio = width / height within this range. area_range: An optional list of `float`s. The cropped area of the image must contain a fraction of the supplied image within in this range. max_attempts: An optional `int`. Number of attempts at generating a cropped region of the image of the specified constraints. After `max_attempts` failures, return the entire image. scope: Optional `str` for name scope. Returns: cropped image `Tensor` distorted_bounding_box_cropT)Zbounding_boxesmin_object_coveredaspect_ratio_range area_range max_attemptsZuse_image_if_no_bounding_boxesZchannelsN)tfZ name_scopeimageextract_jpeg_shapesample_distorted_bounding_boxZunstackstackdecode_and_crop_jpeg) image_bytesbboxr r r rscopeshaperZ bbox_beginZ bbox_size_Zoffset_yZoffset_xZ target_heightZ target_width crop_windowrrc/var/www/html/stable-diffusion-webui/venv/lib/python3.9/site-packages/timm/data/tf_preprocessing.pyr !s"  r cCs,t||}t|tj}tt||S)z0At least `x` of `a` and `b` `Tensors` are equal.)requalcastint32Z greater_equalZ reduce_sum)abxmatchrrr_at_least_x_are_equalUs r&c svtjgdtjgdd}t|dddddd tj}t|td }t|fd d fd d S)z!Make a random crop of image_size.)r'rr)r()dtyperr)rgUUUUUU?)g{Gz?r N)r r r rrrcs tS)N)_decode_and_center_cropr)r image_sizerrlz)_decode_and_random_crop..cstjggdSNr)rrresizer)rr- resize_methodrrr.mr/) rZconstantfloat32r rrr&rZcond)rr-r2rZoriginal_shapebadr)rrr-r2r_decode_and_random_crop\s$  r5c Cstj|}|d}|d}t||ttt||tjtj}||dd}||dd}t||||g} tjj || dd} tj | g||g|d} | S)z=Crops to center of image with padding then scales image_size.rr(rr) rrrr CROP_PADDINGZminimumr3r!rrr1) rr-r2rZ image_heightZ image_widthZpadded_center_crop_sizeZ offset_height offset_widthrrrrrr,rs"  r,cCstj|}|S)zRandom horizontal image flip.)rrZrandom_flip_left_right)rrrr_flips r9bicubiccCsb|dkrtjjjntjjj}t|||}t|}t|||dg}tjj||rTtj ntj d}|SaAPreprocesses the given image for evaluation. Args: image_bytes: `Tensor` representing an image binary of arbitrary size. use_bfloat16: `bool` for whether to use bfloat16. image_size: image size. interpolation: image interpolation method Returns: A preprocessed image `Tensor`. r:r)r*) rr ResizeMethodBICUBICBILINEARr5r9reshapeconvert_image_dtypebfloat16r3r use_bfloat16r- interpolationr2rrrrpreprocess_for_trains  rEcCsZ|dkrtjjjntjjj}t|||}t|||dg}tjj||rLtjntj d}|Sr;) rrr<r=r>r,r?r@rAr3rBrrrpreprocess_for_evals  rFFcCs$|rt||||St||||SdS)aPreprocesses the given image. Args: image_bytes: `Tensor` representing an image binary of arbitrary size. is_training: `bool` for whether the preprocessing is for training. use_bfloat16: `bool` for whether to use bfloat16. image_size: image size. interpolation: image interpolation method Returns: A preprocessed image `Tensor` with value range of [0, 255]. N)rErF)r is_trainingrCr-rDrrrpreprocess_imagesrHc@s&eZdZd ddZddZdd Zd S) TfPreprocessTransformFrr:cCs>||_t|tr|dn||_||_d|_||_d|_dSr0) rG isinstancetuplesizerD _image_bytes_build_tf_graph process_imagesess)selfrGrLrDrrr__init__s  zTfPreprocessTransform.__init__cCsXtd:tjgtjd|_t|j|jd|j|j}Wdn1sJ0Y|S)Nz/cpu:0)rr*F) rZdevice placeholderstringrMrHrGrLrD)rQimgrrrrNs "z%TfPreprocessTransform._build_tf_graphcCsl|jdurt|_|jj|j|j|id}|ddt j }|j dkr\t j |dd}t |d}|S)N)Z feed_dictrr)Zaxisr6)rPrSessionrunrOrMroundZclipZastypenpZuint8ndimZ expand_dimsZrollaxis)rQrrUrrr__call__s    zTfPreprocessTransform.__call__N)Frr:)__name__ __module__ __qualname__rRrNr]rrrrrIs  rI)rrrr N)__doc__Ztensorflow.compat.v1compatZv1rnumpyr[Z IMAGE_SIZEr7Zdisable_eager_executionr r&r5r,r9rErFrHrIrrrrs.  4