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Open Source Computer Vision Library
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136 lines
3.3 KiB
136 lines
3.3 KiB
#include "perf_cpu_precomp.hpp" |
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#ifdef HAVE_CUDA |
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////////////////////////////////////////////////////////////////////// |
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// StereoBM |
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GPU_PERF_TEST_1(StereoBM, cv::gpu::DeviceInfo) |
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{ |
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cv::Mat img_l = readImage("gpu/perf/aloe.jpg", cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(img_l.empty()); |
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cv::Mat img_r = readImage("gpu/perf/aloeR.jpg", cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(img_r.empty()); |
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cv::StereoBM bm(0, 256); |
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cv::Mat dst; |
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bm(img_l, img_r, dst); |
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declare.time(5.0); |
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TEST_CYCLE() |
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{ |
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bm(img_l, img_r, dst); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(Calib3D, StereoBM, ALL_DEVICES); |
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////////////////////////////////////////////////////////////////////// |
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// ProjectPoints |
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IMPLEMENT_PARAM_CLASS(Count, int) |
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GPU_PERF_TEST(ProjectPoints, cv::gpu::DeviceInfo, Count) |
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{ |
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int count = GET_PARAM(1); |
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cv::Mat src(1, count, CV_32FC3); |
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fill(src, -100, 100); |
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cv::Mat rvec = cv::Mat::ones(1, 3, CV_32FC1); |
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cv::Mat tvec = cv::Mat::ones(1, 3, CV_32FC1); |
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cv::Mat camera_mat = cv::Mat::ones(3, 3, CV_32FC1); |
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cv::Mat dst; |
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cv::projectPoints(src, rvec, tvec, camera_mat, cv::noArray(), dst); |
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TEST_CYCLE() |
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{ |
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cv::projectPoints(src, rvec, tvec, camera_mat, cv::noArray(), dst); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(Calib3D, ProjectPoints, testing::Combine( |
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ALL_DEVICES, |
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testing::Values<Count>(5000, 10000, 20000))); |
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////////////////////////////////////////////////////////////////////// |
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// SolvePnPRansac |
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GPU_PERF_TEST(SolvePnPRansac, cv::gpu::DeviceInfo, Count) |
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{ |
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int count = GET_PARAM(1); |
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cv::Mat object(1, count, CV_32FC3); |
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fill(object, -100, 100); |
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cv::Mat camera_mat(3, 3, CV_32FC1); |
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fill(camera_mat, 0.5, 1); |
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camera_mat.at<float>(0, 1) = 0.f; |
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camera_mat.at<float>(1, 0) = 0.f; |
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camera_mat.at<float>(2, 0) = 0.f; |
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camera_mat.at<float>(2, 1) = 0.f; |
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cv::Mat dist_coef(1, 8, CV_32F, cv::Scalar::all(0)); |
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std::vector<cv::Point2f> image_vec; |
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cv::Mat rvec_gold(1, 3, CV_32FC1); |
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fill(rvec_gold, 0, 1); |
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cv::Mat tvec_gold(1, 3, CV_32FC1); |
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fill(tvec_gold, 0, 1); |
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cv::projectPoints(object, rvec_gold, tvec_gold, camera_mat, dist_coef, image_vec); |
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cv::Mat image(1, count, CV_32FC2, &image_vec[0]); |
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cv::Mat rvec; |
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cv::Mat tvec; |
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cv::solvePnPRansac(object, image, camera_mat, dist_coef, rvec, tvec); |
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declare.time(10.0); |
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TEST_CYCLE() |
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{ |
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cv::solvePnPRansac(object, image, camera_mat, dist_coef, rvec, tvec); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(Calib3D, SolvePnPRansac, testing::Combine( |
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ALL_DEVICES, |
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testing::Values<Count>(5000, 10000, 20000))); |
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////////////////////////////////////////////////////////////////////// |
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// ReprojectImageTo3D |
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GPU_PERF_TEST(ReprojectImageTo3D, cv::gpu::DeviceInfo, cv::Size, MatDepth) |
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{ |
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cv::Size size = GET_PARAM(1); |
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int depth = GET_PARAM(2); |
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cv::Mat src(size, depth); |
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fill(src, 5.0, 30.0); |
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cv::Mat Q(4, 4, CV_32FC1); |
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fill(Q, 0.1, 1.0); |
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cv::Mat dst; |
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cv::reprojectImageTo3D(src, dst, Q); |
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TEST_CYCLE() |
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{ |
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cv::reprojectImageTo3D(src, dst, Q); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(Calib3D, ReprojectImageTo3D, testing::Combine( |
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ALL_DEVICES, |
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GPU_TYPICAL_MAT_SIZES, |
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testing::Values<MatDepth>(CV_8U, CV_16S))); |
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#endif |
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