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- #!/usr/bin/env python
- import cv2 as cv
- import numpy as np
- from tests_common import NewOpenCVTests
- class disparity_test(NewOpenCVTests):
- def test_disp(self):
- # readGT
- ret,GT = cv.ximgproc.readGT(self.find_file("cv/disparityfilter/GT.png"))
- self.assertEqual(ret, 0) # returns 0 on success!
- self.assertFalse(np.shape(GT) == ())
- # computeMSE
- left = cv.imread(self.find_file("cv/disparityfilter/disparity_left_raw.png"), cv.IMREAD_UNCHANGED)
- self.assertFalse(np.shape(left) == ())
- left = np.asarray(left, dtype=np.int16)
- mse = cv.ximgproc.computeMSE(GT, left, (0, 0, GT.shape[1], GT.shape[0]))
- # computeBadPixelPercent
- bad = cv.ximgproc.computeBadPixelPercent(GT, left, (0, 0, GT.shape[1], GT.shape[0]), 24)
- if __name__ == '__main__':
- NewOpenCVTests.bootstrap()
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