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Open Source Computer Vision Library
https://opencv.org/
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356 lines
8.6 KiB
356 lines
8.6 KiB
#include "perf_precomp.hpp" |
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using namespace std; |
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using namespace testing; |
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namespace { |
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////////////////////////////////////////////////////////////////////// |
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// StereoBM |
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typedef pair<string, string> pair_string; |
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DEF_PARAM_TEST_1(ImagePair, pair_string); |
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PERF_TEST_P(ImagePair, Calib3D_StereoBM, Values(make_pair<string, string>("gpu/perf/aloe.jpg", "gpu/perf/aloeR.jpg"))) |
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{ |
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declare.time(5.0); |
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const cv::Mat imgLeft = readImage(GetParam().first, cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(imgLeft.empty()); |
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const cv::Mat imgRight = readImage(GetParam().second, cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(imgRight.empty()); |
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const int preset = 0; |
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const int ndisp = 256; |
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if (runOnGpu) |
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{ |
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cv::gpu::StereoBM_GPU d_bm(preset, ndisp); |
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cv::gpu::GpuMat d_imgLeft(imgLeft); |
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cv::gpu::GpuMat d_imgRight(imgRight); |
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cv::gpu::GpuMat d_dst; |
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d_bm(d_imgLeft, d_imgRight, d_dst); |
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TEST_CYCLE() |
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{ |
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d_bm(d_imgLeft, d_imgRight, d_dst); |
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} |
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} |
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else |
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{ |
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cv::StereoBM bm(preset, ndisp); |
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cv::Mat dst; |
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bm(imgLeft, imgRight, dst); |
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TEST_CYCLE() |
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{ |
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bm(imgLeft, imgRight, dst); |
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} |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// StereoBeliefPropagation |
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PERF_TEST_P(ImagePair, Calib3D_StereoBeliefPropagation, Values(make_pair<string, string>("gpu/stereobp/aloe-L.png", "gpu/stereobp/aloe-R.png"))) |
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{ |
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declare.time(10.0); |
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const cv::Mat imgLeft = readImage(GetParam().first); |
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ASSERT_FALSE(imgLeft.empty()); |
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const cv::Mat imgRight = readImage(GetParam().second); |
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ASSERT_FALSE(imgRight.empty()); |
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const int ndisp = 64; |
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if (runOnGpu) |
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{ |
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cv::gpu::StereoBeliefPropagation d_bp(ndisp); |
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cv::gpu::GpuMat d_imgLeft(imgLeft); |
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cv::gpu::GpuMat d_imgRight(imgRight); |
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cv::gpu::GpuMat d_dst; |
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d_bp(d_imgLeft, d_imgRight, d_dst); |
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TEST_CYCLE() |
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{ |
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d_bp(d_imgLeft, d_imgRight, d_dst); |
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} |
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} |
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else |
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{ |
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FAIL(); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// StereoConstantSpaceBP |
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PERF_TEST_P(ImagePair, Calib3D_StereoConstantSpaceBP, Values(make_pair<string, string>("gpu/stereobm/aloe-L.png", "gpu/stereobm/aloe-R.png"))) |
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{ |
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declare.time(10.0); |
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const cv::Mat imgLeft = readImage(GetParam().first, cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(imgLeft.empty()); |
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const cv::Mat imgRight = readImage(GetParam().second, cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(imgRight.empty()); |
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const int ndisp = 128; |
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if (runOnGpu) |
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{ |
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cv::gpu::StereoConstantSpaceBP d_csbp(ndisp); |
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cv::gpu::GpuMat d_imgLeft(imgLeft); |
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cv::gpu::GpuMat d_imgRight(imgRight); |
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cv::gpu::GpuMat d_dst; |
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d_csbp(d_imgLeft, d_imgRight, d_dst); |
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TEST_CYCLE() |
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{ |
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d_csbp(d_imgLeft, d_imgRight, d_dst); |
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} |
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} |
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else |
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{ |
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FAIL(); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// DisparityBilateralFilter |
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PERF_TEST_P(ImagePair, Calib3D_DisparityBilateralFilter, Values(make_pair<string, string>("gpu/stereobm/aloe-L.png", "gpu/stereobm/aloe-disp.png"))) |
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{ |
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const cv::Mat img = readImage(GetParam().first, cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(img.empty()); |
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const cv::Mat disp = readImage(GetParam().second, cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(disp.empty()); |
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const int ndisp = 128; |
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if (runOnGpu) |
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{ |
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cv::gpu::DisparityBilateralFilter d_filter(ndisp); |
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cv::gpu::GpuMat d_img(img); |
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cv::gpu::GpuMat d_disp(disp); |
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cv::gpu::GpuMat d_dst; |
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d_filter(d_disp, d_img, d_dst); |
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TEST_CYCLE() |
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{ |
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d_filter(d_disp, d_img, d_dst); |
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} |
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} |
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else |
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{ |
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FAIL(); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// TransformPoints |
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DEF_PARAM_TEST_1(Count, int); |
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PERF_TEST_P(Count, Calib3D_TransformPoints, Values(5000, 10000, 20000)) |
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{ |
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const int count = GetParam(); |
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cv::Mat src(1, count, CV_32FC3); |
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fillRandom(src, -100, 100); |
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const cv::Mat rvec = cv::Mat::ones(1, 3, CV_32FC1); |
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const cv::Mat tvec = cv::Mat::ones(1, 3, CV_32FC1); |
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if (runOnGpu) |
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{ |
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cv::gpu::GpuMat d_src(src); |
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cv::gpu::GpuMat d_dst; |
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cv::gpu::transformPoints(d_src, rvec, tvec, d_dst); |
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TEST_CYCLE() |
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{ |
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cv::gpu::transformPoints(d_src, rvec, tvec, d_dst); |
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} |
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} |
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else |
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{ |
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FAIL(); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// ProjectPoints |
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PERF_TEST_P(Count, Calib3D_ProjectPoints, Values(5000, 10000, 20000)) |
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{ |
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const int count = GetParam(); |
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cv::Mat src(1, count, CV_32FC3); |
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fillRandom(src, -100, 100); |
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const cv::Mat rvec = cv::Mat::ones(1, 3, CV_32FC1); |
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const cv::Mat tvec = cv::Mat::ones(1, 3, CV_32FC1); |
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const cv::Mat camera_mat = cv::Mat::ones(3, 3, CV_32FC1); |
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if (runOnGpu) |
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{ |
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cv::gpu::GpuMat d_src(src); |
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cv::gpu::GpuMat d_dst; |
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cv::gpu::projectPoints(d_src, rvec, tvec, camera_mat, cv::Mat(), d_dst); |
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TEST_CYCLE() |
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{ |
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cv::gpu::projectPoints(d_src, rvec, tvec, camera_mat, cv::Mat(), d_dst); |
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} |
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} |
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else |
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{ |
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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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} |
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////////////////////////////////////////////////////////////////////// |
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// SolvePnPRansac |
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PERF_TEST_P(Count, Calib3D_SolvePnPRansac, Values(5000, 10000, 20000)) |
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{ |
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declare.time(10.0); |
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const int count = GetParam(); |
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cv::Mat object(1, count, CV_32FC3); |
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fillRandom(object, -100, 100); |
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cv::Mat camera_mat(3, 3, CV_32FC1); |
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fillRandom(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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const 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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fillRandom(rvec_gold, 0, 1); |
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cv::Mat tvec_gold(1, 3, CV_32FC1); |
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fillRandom(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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if (runOnGpu) |
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{ |
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cv::gpu::solvePnPRansac(object, image, camera_mat, dist_coef, rvec, tvec); |
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TEST_CYCLE() |
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{ |
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cv::gpu::solvePnPRansac(object, image, camera_mat, dist_coef, rvec, tvec); |
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} |
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} |
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else |
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{ |
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cv::solvePnPRansac(object, image, camera_mat, dist_coef, rvec, tvec); |
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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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} |
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////////////////////////////////////////////////////////////////////// |
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// ReprojectImageTo3D |
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PERF_TEST_P(Sz_Depth, Calib3D_ReprojectImageTo3D, Combine(GPU_TYPICAL_MAT_SIZES, Values(CV_8U, CV_16S))) |
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{ |
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const cv::Size size = GET_PARAM(0); |
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const int depth = GET_PARAM(1); |
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cv::Mat src(size, depth); |
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fillRandom(src, 5.0, 30.0); |
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cv::Mat Q(4, 4, CV_32FC1); |
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fillRandom(Q, 0.1, 1.0); |
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if (runOnGpu) |
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{ |
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cv::gpu::GpuMat d_src(src); |
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cv::gpu::GpuMat d_dst; |
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cv::gpu::reprojectImageTo3D(d_src, d_dst, Q); |
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TEST_CYCLE() |
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{ |
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cv::gpu::reprojectImageTo3D(d_src, d_dst, Q); |
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} |
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} |
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else |
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{ |
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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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} |
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////////////////////////////////////////////////////////////////////// |
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// DrawColorDisp |
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PERF_TEST_P(Sz_Depth, Calib3D_DrawColorDisp, Combine(GPU_TYPICAL_MAT_SIZES, Values(CV_8U, CV_16S))) |
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{ |
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const cv::Size size = GET_PARAM(0); |
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const int type = GET_PARAM(1); |
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cv::Mat src(size, type); |
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fillRandom(src, 0, 255); |
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if (runOnGpu) |
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{ |
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cv::gpu::GpuMat d_src(src); |
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cv::gpu::GpuMat d_dst; |
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cv::gpu::drawColorDisp(d_src, d_dst, 255); |
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TEST_CYCLE() |
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{ |
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cv::gpu::drawColorDisp(d_src, d_dst, 255); |
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} |
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} |
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else |
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{ |
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FAIL(); |
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} |
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} |
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} // namespace
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