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Open Source Computer Vision Library
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27 lines
794 B
27 lines
794 B
#!/usr/bin/env python |
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''' |
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Test for disctrete fourier transform (dft) |
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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 cv2 as cv |
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import numpy as np |
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import sys |
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from tests_common import NewOpenCVTests |
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class imgproc_test(NewOpenCVTests): |
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def test_filter2d(self): |
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img = self.get_sample('samples/data/lena.jpg', 1) |
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eps = 0.001 |
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# compare 2 ways of computing 3x3 blur using the same function |
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kernel = np.array([[1, 1, 1], [1, 1, 1], [1, 1, 1]], dtype='float32') |
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img_blur0 = cv.filter2D(img, cv.CV_32F, kernel*(1./9)) |
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img_blur1 = cv.filter2Dp(img, kernel, ddepth=cv.CV_32F, scale=1./9) |
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self.assertLess(cv.norm(img_blur0 - img_blur1, cv.NORM_INF), eps) |
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if __name__ == '__main__': |
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NewOpenCVTests.bootstrap()
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