\;j HdZddlZGddeZGddeZdZdZy) zBase classes and functions used by all/most augmenters. This module is planned to contain :class:`imgaug.augmenters.meta.Augmenter` in the future. Added in 0.4.0. NceZdZdZy) SuspiciousMultiImageShapeWarningz9Warning multi-image inputs that look like a single image.N__name__ __module__ __qualname____doc___G:\00. PROJECTS\API\Inventory\templateJSON\kerjaOCR\Lib\site-packages\imgaug/augmenters/base.pyrr sCr rceZdZdZy)!SuspiciousSingleImageShapeWarningz?Warning for single-image inputs that look like multiple images.Nrr r r rrsIr rc|ytj|rL|jdk(r<|jddvr*tjd|jdt yyyy)N)r$You provided a numpy array of shape a as a multi-image augmentation input, which was interpreted as (N, H, W). The last dimension however has value 1 or 3, which indicates that you provided a single image with shape (H, W, C) instead. If that is the case, you should use e.g. augmenter(image=) or augment_image() -- note the singular 'image' instead of 'imageS'. Otherwise your single input image will be interpreted as multiple images of shape (H, W) during augmentation.category)ia is_np_arrayndimshapewarnr)imagess r &_warn_on_suspicious_multi_image_shapesrs` ~ ~~f ;;!  R 0F : GG+1,, 9: ;!; r c|y|jdk(rP|jddk\r=|jdddk7r*tjd|jdt yyyy) Nrr r)rrra as a single-image augmentation input, which was interpreted as (H, W, C). The last dimension however has a size of >=32, which indicates that you provided a multi-image array with shape (N, H, W) instead. If that is the case, you should use e.g. augmenter(imageS=) or augment_imageS(). Otherwise your multi-image input will be interpreted as a single image during augmentation.r)rrrrr)images r &_warn_on_suspicious_single_image_shaper!)sb }  zzQ5;;r?b0U[[15E5O  %{{ -7 86P0r )r imgaugr UserWarningrrrr!r r r r$s5D{DJ J;*8r