online compiler and debugger for c/c++

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import numpy as np def find_image(im, tpl): im = np.atleast_3d(im) tpl = np.atleast_3d(tpl) H, W, D = im.shape[:3] h, w = tpl.shape[:2] # Integral image and template sum per channel sat = im.cumsum(1).cumsum(0) tplsum = np.array([tpl[:, :, i].sum() for i in range(D)]) # Calculate lookup table for all the possible windows iA, iB, iC, iD = sat[:-h, :-w], sat[:-h, w:], sat[h:, :-w], sat[h:, w:] lookup = iD - iB - iC + iA # Possible matches possible_match = np.where(np.logical_and.reduce([lookup[..., i] == tplsum[i] for i in range(D)])) # Find exact match for y, x in zip(*possible_match): if np.all(im[y+1:y+h+1, x+1:x+w+1] == tpl): return (y+1, x+1) return None def test_find_image(): while True: # Generate random 20x20 haystack image haystack = np.random.randint(0, 255, (20, 20, 3), "uint8") # Choose a random 5x5 chunk of the haystack image to be used as the needle y = np.random.randint(0, 20 - 5 + 1) x = np.random.randint(0, 20 - 5 + 1) needle = haystack[y:y + 5, x:x + 5] result = find_image(haystack, needle) if result == (y, x): print("SUCCESS:", y, x) else: print("FAIL:", y, x) if __name__ == "__main__": test_find_image()

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