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@ -27,31 +27,27 @@ PERF_TEST(Undistort, DISABLED_InitInverseRectificationMap) |
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SANITY_CHECK_NOTHING(); |
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} |
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using PerfIntType = perf::TestBaseWithParam<std::tuple<int>>; |
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PERF_TEST_P(PerfIntType, fisheye_undistortPoints, |
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(testing::Values(1e2, 1e3, 1e4))) |
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PERF_TEST(Undistort, fisheye_undistortPoints_100k_10iter) |
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{ |
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const cv::Size imageSize(1280, 800); |
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const int pointsNumber = 100000; |
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const Size imageSize(1280, 800); |
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/* Set camera matrix */ |
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const cv::Matx33d K(558.478087865323, 0, 620.458515360843, |
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const Matx33d K(558.478087865323, 0, 620.458515360843, |
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0, 560.506767351568, 381.939424848348, |
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0, 0, 1); |
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/* Set distortion coefficients */ |
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Mat D(1, 4, CV_64F); |
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theRNG().fill(D, RNG::UNIFORM, -1.e-5, 1.e-5); |
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int pointsNumber = std::get<0>(GetParam()); |
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const Matx14d D(2.81e-06, 1.31e-06, -4.42e-06, -1.25e-06); |
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/* Create two-channel points matrix */ |
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cv::Mat xy[2] = {}; |
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Mat xy[2] = {}; |
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xy[0].create(pointsNumber, 1, CV_64F); |
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theRNG().fill(xy[0], cv::RNG::UNIFORM, 0, imageSize.width); // x
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theRNG().fill(xy[0], RNG::UNIFORM, 0, imageSize.width); // x
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xy[1].create(pointsNumber, 1, CV_64F); |
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theRNG().fill(xy[1], cv::RNG::UNIFORM, 0, imageSize.height); // y
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theRNG().fill(xy[1], RNG::UNIFORM, 0, imageSize.height); // y
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cv::Mat points; |
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Mat points; |
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merge(xy, 2, points); |
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/* Set fixed iteration number to check only c++ code, not algo convergence */ |
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