def get_mask(img1, img2, thresh=20):
if img1.shape != img2.shape:
return
diff = cv2.absdiff(img1, img2)
diff = np.mean(diff, axis=2)
diff[diff<=thresh] = 0
diff[diff>thresh] = 255
mask = np.dstack([diff]*3)
return mask
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