Bryant Chang's transformations

python/218.py

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+from scipy import ndimage
+from scipy import misc
+import numpy as np
+from glob import glob
+from collections import Iterable
+
+# create a list of all images in directory
+images = glob('*.jpg')
+images.sort()
+
+def apply_transformations(images):
+    for i in range(len(images)):
+        img = misc.imread(images[i])
+        # flip up-down
+        flip_ud_img = np.flipud(img)
+        misc.imsave('flipped_%06d.jpg' %i, flip_ud_img)
+        # rotate 30 degrees
+        rotate30_img = ndimage.rotate(img, 30)
+        misc.imsave('rotated30_%06d.jpg' %i, rotate30_img)
+        # rotate 45 degrees
+        rotate45_img = ndimage.rotate(img, 45)
+        misc.imsave('rotated45_%06d.jpg' %i, rotate45_img)
+        # rotate 60 degrees
+        rotate60_img = ndimage.rotate(img, 60)
+        misc.imsave('rotated60_%06d.jpg' %i, rotate60_img)
+        # rotate 90 degrees
+        rotate90_img = ndimage.rotate(img, 90)
+        misc.imsave('rotated90_%06d.jpg' %i, rotate90_img)
+        # rotate  105 degrees
+        rotate105_img = ndimage.rotate(img, 105)
+        misc.imsave('rotated105_%06d.jpg' %i, rotate105_img)
+        # rotate 120 degrees
+        rotate120_img = ndimage.rotate(img, 120)
+        misc.imsave('rotated120_%06d.jpg' %i, rotate120_img)
+        # rotate 135 degrees
+        rotate145_img = ndimage.rotate(img, 135)
+        misc.imsave('rotated135_%06d.jpg' %i, rotate145_img)
+        # rotate 150 degrees
+        rotate160_img = ndimage.rotate(img, 150)
+        misc.imsave('rotated150_%06d.jpg' %i, rotate160_img)
+        # blurring
+        blurred_img = ndimage.gaussian_filter(img, 4)
+        misc.imsave('blurred_%06d.jpg' %i, blurred_img)