augmentation_tools.py
035f8d3132e6Dan_master_thesis

augmentation_tools.py
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			import os
			#import tensorflow
			import numpy as np
			import scipy
			#import cv2

			from scipy import ndimage
			#from matplotlib import pyplot as plt

			from PIL import Image


			def change_contrast(img, level):
			factor = (259 * (level + 255)) / (255 * (259 - level))
			def contrast(c):
			return 128 + factor * (c - 128)
			return img.point(contrast)


			def change_contrast_multi(img, steps):
			result = []
			for n, level in enumerate(steps):
			img_filtered = change_contrast(img, level)
			result.append(img_filtered)
			return result


			def rotatedImages(image_array):
			return [ndimage.rotate(image_array, degree) for degree in range(0,360,90)] ## rotated image, 4 times 90 degree


			def rgb2gray(rgb):
			return np.dot(rgb[...,:3], [0.299, 0.587, 0.114])


			def sobel(image_array):
			image_gray = rgb2gray(image_array).astype('int')
			dx = ndimage.sobel(image_gray, axis=0, mode='constant') # horizontal derivative
			dy = ndimage.sobel(image_gray, axis=1, mode='constant') # vertical derivative
			mag = np.hypot(dx, dy) # magnitude
			return mag