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Open Source Computer Vision Library
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48 lines
1.2 KiB
48 lines
1.2 KiB
#include "perf_precomp.hpp" |
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using namespace std; |
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using namespace cv; |
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using namespace perf; |
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typedef std::tr1::tuple<std::string, cv::Size> String_Size_t; |
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typedef perf::TestBaseWithParam<int> PointsNumber; |
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PERF_TEST_P(PointsNumber, solvePnP, testing::Values(4, 3*9, 7*13) |
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) |
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{ |
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int pointsNum = GetParam(); |
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vector<Point2f> points2d(pointsNum); |
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vector<Point3f> points3d(pointsNum); |
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Mat rvec = Mat::zeros(3, 1, CV_32FC1); |
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Mat tvec = Mat::zeros(3, 1, CV_32FC1); |
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Mat distortion = Mat::zeros(5, 1, CV_32FC1); |
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Mat intrinsics = Mat::eye(3, 3, CV_32FC1); |
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intrinsics.at<float> (0, 0) = 400.0; |
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intrinsics.at<float> (1, 1) = 400.0; |
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intrinsics.at<float> (0, 2) = 640 / 2; |
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intrinsics.at<float> (1, 2) = 480 / 2; |
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warmup(points3d, WARMUP_RNG); |
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warmup(rvec, WARMUP_RNG); |
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warmup(tvec, WARMUP_RNG); |
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projectPoints(points3d, rvec, tvec, intrinsics, distortion, points2d); |
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//add noise |
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Mat noise(1, points2d.size(), CV_32FC2); |
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randu(noise, 0, 0.01); |
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add(points2d, noise, points2d); |
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declare.in(points3d, points2d); |
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TEST_CYCLE(1000) |
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{ |
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solvePnP(points3d, points2d, intrinsics, distortion, rvec, tvec, false); |
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} |
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SANITY_CHECK(rvec); |
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SANITY_CHECK(tvec); |
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}
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