def load_image(path):
# Load image [height, width, depth]
img = skimage.io.imread(path) / 255.0
assert (0 <= img).all() and (img <= 1.0).all()
# Crop image from center
short_edge = min(img.shape[:2])
yy = int((img.shape[0] - short_edge) / 2)
xx = int((img.shape[1] - short_edge) / 2)
shape = list(img.shape)
crop_img = img[yy: yy + short_edge, xx: xx + short_edge]
resized_img = skimage.transform.resize(crop_img, (shape[0], shape[1]))
return resized_img, shape
# Return a resized numpy array of an image specified by its path
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