From c62c3c2010d6e3807ab9a425fe19ab605d7da6ca Mon Sep 17 00:00:00 2001 From: Jindrich Libovicky Date: Tue, 13 Dec 2016 17:28:02 +0100 Subject: [PATCH] delete depreacated image utils --- neuralmonkey/image_utils.py | 52 ------------------------------------- 1 file changed, 52 deletions(-) delete mode 100644 neuralmonkey/image_utils.py diff --git a/neuralmonkey/image_utils.py b/neuralmonkey/image_utils.py deleted file mode 100644 index 6a98f9be5..000000000 --- a/neuralmonkey/image_utils.py +++ /dev/null @@ -1,52 +0,0 @@ -""" -This module gathers some tools for image preprocessing. -""" - -# tests: lint, mypy -# pylint: skip-file - -import numpy as np -from scipy.misc import imread, imresize - -# pylint: disable=too-few-public-methods - - -class STRPreprocessor(object): - """ - This class implements a function that preprocesses an image for scene text - recognition. It normalizes the height and pads/shortens it to the - reqreusted width. - """ - - def __init__(self, height, max_width): - self.height = height - self.max_width = max_width - - self.shrinkages = [] - self.paddings = [] - - def __call__(self, path): - """ - Path is either path to the image or a list list conating the path (in - case the path has been loaded as a tokenized text). - """ - - if isinstance(path, list): - path = " ".join(path) - - img = imread(path) / 255.0 - - if img.shape[0] != self.height: - ratio = float(self.height) / img.shape[0] - width = int(ratio * img.shape[1]) - img = imresize(img, (self.height, width)) - - if img.shape[1] >= self.max_width: - self.shrinkages.append(float(img.shape[1] - self.max_width)) - return img[:, :self.max_width] - else: - rest = self.max_width - img.shape[1] - padding = np.zeros((self.height, rest, 3)) - img = np.concatenate((img, padding), axis=1) - self.paddings.append(float(rest)) - return img