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Open Source Computer Vision Library
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40 lines
1.1 KiB
40 lines
1.1 KiB
#!/usr/bin/env python |
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''' |
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Test for copyto with mask |
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''' |
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# Python 2/3 compatibility |
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from __future__ import print_function |
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import numpy as np |
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import cv2 as cv |
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import sys |
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from tests_common import NewOpenCVTests |
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class copytomask_test(NewOpenCVTests): |
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def test_copytomask(self): |
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img = self.get_sample('python/images/baboon.png', cv.IMREAD_COLOR) |
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eps = 0. |
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#Create mask using inRange |
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valeurBGRinf = np.array([0,0,100]) |
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valeurBGRSup = np.array([70, 70,255]) |
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maskRed = cv.inRange(img, valeurBGRinf, valeurBGRSup) |
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#New binding |
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dstcv = np.ndarray(np.array((2, 2, 1))*img.shape, dtype=img.dtype) |
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dstcv.fill(255) |
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cv.copyTo(img, maskRed, dstcv[:img.shape[0],:img.shape[1],:]) |
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#using numpy |
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dstnp = np.ndarray(np.array((2, 2, 1))*img.shape, dtype=img.dtype) |
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dstnp.fill(255) |
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mask2=maskRed.astype(bool) |
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_, mask_b = np.broadcast_arrays(img, mask2[..., None]) |
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np.copyto(dstnp[:img.shape[0],:img.shape[1],:], img, where=mask_b) |
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self.assertEqual(cv.norm(dstnp ,dstcv), eps) |
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if __name__ == '__main__': |
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NewOpenCVTests.bootstrap()
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