def transform_image(image_path, angle=0., s=(0,0), size=(20,20)):
original = imread(image_path, flatten=True)
rotated = np.maximum(np.minimum(rotate(original, angle=angle, cval=1.), 1.), 0.)
shifted = shift(rotated, shift=s)
resized = np.asarray(imresize(rotated, size=size), dtype=np.float32)/255
inverted = 1. - resized
max_value = np.max(inverted)
if max_value > 0:
inverted /= max_value
return inverted
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