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Open Source Computer Vision Library
https://opencv.org/
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730 lines
22 KiB
730 lines
22 KiB
#include "perf_cpu_precomp.hpp" |
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#ifdef HAVE_CUDA |
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////////////////////////////////////////////////////////////////////// |
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// Remap |
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GPU_PERF_TEST(Remap, cv::gpu::DeviceInfo, cv::Size, MatType, Interpolation, BorderMode) |
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{ |
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cv::Size size = GET_PARAM(1); |
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int type = GET_PARAM(2); |
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int interpolation = GET_PARAM(3); |
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int borderMode = GET_PARAM(4); |
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cv::Mat src(size, type); |
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fill(src, 0, 255); |
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cv::Mat xmap(size, CV_32FC1); |
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fill(xmap, 0, size.width); |
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cv::Mat ymap(size, CV_32FC1); |
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fill(ymap, 0, size.height); |
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cv::Mat dst; |
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cv::remap(src, dst, xmap, ymap, interpolation, borderMode); |
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declare.time(20.0); |
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TEST_CYCLE() |
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{ |
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cv::remap(src, dst, xmap, ymap, interpolation, borderMode); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, Remap, testing::Combine( |
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ALL_DEVICES, |
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GPU_TYPICAL_MAT_SIZES, |
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testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4), |
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MatType(CV_16UC1), MatType(CV_16UC3), MatType(CV_16UC4), |
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MatType(CV_32FC1), MatType(CV_32FC3), MatType(CV_32FC4)), |
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testing::Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC)), |
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testing::Values(BorderMode(cv::BORDER_REFLECT101), BorderMode(cv::BORDER_REPLICATE), BorderMode(cv::BORDER_CONSTANT), BorderMode(cv::BORDER_REFLECT), BorderMode(cv::BORDER_WRAP)))); |
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////////////////////////////////////////////////////////////////////// |
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// Resize |
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IMPLEMENT_PARAM_CLASS(Scale, double) |
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GPU_PERF_TEST(Resize, cv::gpu::DeviceInfo, cv::Size, MatType, Interpolation, Scale) |
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{ |
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cv::Size size = GET_PARAM(1); |
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int type = GET_PARAM(2); |
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int interpolation = GET_PARAM(3); |
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double f = GET_PARAM(4); |
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cv::Mat src(size, type); |
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fill(src, 0, 255); |
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cv::Mat dst; |
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cv::resize(src, dst, cv::Size(), f, f, interpolation); |
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declare.time(20.0); |
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TEST_CYCLE() |
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{ |
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cv::resize(src, dst, cv::Size(), f, f, interpolation); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, Resize, testing::Combine( |
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ALL_DEVICES, |
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GPU_TYPICAL_MAT_SIZES, |
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testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4), |
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MatType(CV_16UC1), MatType(CV_16UC3), MatType(CV_16UC4), |
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MatType(CV_32FC1), MatType(CV_32FC3), MatType(CV_32FC4)), |
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testing::Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), |
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Interpolation(cv::INTER_CUBIC), Interpolation(cv::INTER_AREA)), |
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testing::Values(Scale(0.5), Scale(0.3), Scale(2.0)))); |
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GPU_PERF_TEST(ResizeArea, cv::gpu::DeviceInfo, cv::Size, MatType, Scale) |
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{ |
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cv::Size size = GET_PARAM(1); |
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int type = GET_PARAM(2); |
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int interpolation = cv::INTER_AREA; |
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double f = GET_PARAM(3); |
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cv::Mat src_host(size, type); |
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fill(src_host, 0, 255); |
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cv::Mat src(src_host); |
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cv::Mat dst; |
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cv::resize(src, dst, cv::Size(), f, f, interpolation); |
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declare.time(1.0); |
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TEST_CYCLE() |
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{ |
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cv::resize(src, dst, cv::Size(), f, f, interpolation); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, ResizeArea, testing::Combine( |
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ALL_DEVICES, |
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testing::Values(perf::sz1080p, cv::Size(4096, 2048)), |
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testing::Values(MatType(CV_8UC1)/*, MatType(CV_8UC3), MatType(CV_8UC4), |
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MatType(CV_16UC1), MatType(CV_16UC3), MatType(CV_16UC4), |
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MatType(CV_32FC1), MatType(CV_32FC3), MatType(CV_32FC4)*/), |
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testing::Values(Scale(0.2),Scale(0.1),Scale(0.05)))); |
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////////////////////////////////////////////////////////////////////// |
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// WarpAffine |
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GPU_PERF_TEST(WarpAffine, cv::gpu::DeviceInfo, cv::Size, MatType, Interpolation, BorderMode) |
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{ |
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cv::Size size = GET_PARAM(1); |
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int type = GET_PARAM(2); |
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int interpolation = GET_PARAM(3); |
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int borderMode = GET_PARAM(4); |
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cv::Mat src(size, type); |
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fill(src, 0, 255); |
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cv::Mat dst; |
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const double aplha = CV_PI / 4; |
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double mat[2][3] = { {std::cos(aplha), -std::sin(aplha), src.cols / 2}, |
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{std::sin(aplha), std::cos(aplha), 0}}; |
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cv::Mat M(2, 3, CV_64F, (void*) mat); |
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cv::warpAffine(src, dst, M, size, interpolation, borderMode); |
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declare.time(20.0); |
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TEST_CYCLE() |
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{ |
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cv::warpAffine(src, dst, M, size, interpolation, borderMode); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, WarpAffine, testing::Combine( |
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ALL_DEVICES, |
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GPU_TYPICAL_MAT_SIZES, |
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testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4), |
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MatType(CV_16UC1), MatType(CV_16UC3), MatType(CV_16UC4), |
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MatType(CV_32FC1), MatType(CV_32FC3), MatType(CV_32FC4)), |
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testing::Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC)), |
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testing::Values(BorderMode(cv::BORDER_REFLECT101), BorderMode(cv::BORDER_REPLICATE), BorderMode(cv::BORDER_CONSTANT), BorderMode(cv::BORDER_REFLECT), BorderMode(cv::BORDER_WRAP)))); |
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////////////////////////////////////////////////////////////////////// |
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// WarpPerspective |
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GPU_PERF_TEST(WarpPerspective, cv::gpu::DeviceInfo, cv::Size, MatType, Interpolation, BorderMode) |
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{ |
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cv::Size size = GET_PARAM(1); |
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int type = GET_PARAM(2); |
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int interpolation = GET_PARAM(3); |
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int borderMode = GET_PARAM(4); |
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cv::Mat src(size, type); |
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fill(src, 0, 255); |
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cv::Mat dst; |
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const double aplha = CV_PI / 4; |
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double mat[3][3] = { {std::cos(aplha), -std::sin(aplha), src.cols / 2}, |
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{std::sin(aplha), std::cos(aplha), 0}, |
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{0.0, 0.0, 1.0}}; |
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cv::Mat M(3, 3, CV_64F, (void*) mat); |
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cv::warpPerspective(src, dst, M, size, interpolation, borderMode); |
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declare.time(20.0); |
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TEST_CYCLE() |
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{ |
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cv::warpPerspective(src, dst, M, size, interpolation, borderMode); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, WarpPerspective, testing::Combine( |
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ALL_DEVICES, |
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GPU_TYPICAL_MAT_SIZES, |
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testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4), |
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MatType(CV_16UC1), MatType(CV_16UC3), MatType(CV_16UC4), |
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MatType(CV_32FC1), MatType(CV_32FC3), MatType(CV_32FC4)), |
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testing::Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC)), |
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testing::Values(BorderMode(cv::BORDER_REFLECT101), BorderMode(cv::BORDER_REPLICATE), BorderMode(cv::BORDER_CONSTANT), BorderMode(cv::BORDER_REFLECT), BorderMode(cv::BORDER_WRAP)))); |
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////////////////////////////////////////////////////////////////////// |
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// CopyMakeBorder |
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GPU_PERF_TEST(CopyMakeBorder, cv::gpu::DeviceInfo, cv::Size, MatType, BorderMode) |
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{ |
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cv::Size size = GET_PARAM(1); |
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int type = GET_PARAM(2); |
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int borderType = GET_PARAM(3); |
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cv::Mat src(size, type); |
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fill(src, 0, 255); |
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cv::Mat dst; |
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cv::copyMakeBorder(src, dst, 5, 5, 5, 5, borderType); |
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TEST_CYCLE() |
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{ |
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cv::copyMakeBorder(src, dst, 5, 5, 5, 5, borderType); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, CopyMakeBorder, testing::Combine( |
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ALL_DEVICES, |
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GPU_TYPICAL_MAT_SIZES, |
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testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4), |
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MatType(CV_16UC1), MatType(CV_16UC3), MatType(CV_16UC4), |
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MatType(CV_32FC1), MatType(CV_32FC3), MatType(CV_32FC4)), |
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testing::Values(BorderMode(cv::BORDER_REFLECT101), BorderMode(cv::BORDER_REPLICATE), BorderMode(cv::BORDER_CONSTANT), BorderMode(cv::BORDER_REFLECT), BorderMode(cv::BORDER_WRAP)))); |
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////////////////////////////////////////////////////////////////////// |
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// Threshold |
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CV_ENUM(ThreshOp, cv::THRESH_BINARY, cv::THRESH_BINARY_INV, cv::THRESH_TRUNC, cv::THRESH_TOZERO, cv::THRESH_TOZERO_INV) |
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#define ALL_THRESH_OPS testing::Values(ThreshOp(cv::THRESH_BINARY), ThreshOp(cv::THRESH_BINARY_INV), ThreshOp(cv::THRESH_TRUNC), ThreshOp(cv::THRESH_TOZERO), ThreshOp(cv::THRESH_TOZERO_INV)) |
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GPU_PERF_TEST(Threshold, cv::gpu::DeviceInfo, cv::Size, MatDepth, ThreshOp) |
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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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int threshOp = GET_PARAM(3); |
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cv::Mat src(size, depth); |
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fill(src, 0, 255); |
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cv::Mat dst; |
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cv::threshold(src, dst, 100.0, 255.0, threshOp); |
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TEST_CYCLE() |
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{ |
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cv::threshold(src, dst, 100.0, 255.0, threshOp); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, Threshold, 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), MatDepth(CV_16U), MatDepth(CV_32F), MatDepth(CV_64F)), |
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ALL_THRESH_OPS)); |
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////////////////////////////////////////////////////////////////////// |
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// Integral |
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GPU_PERF_TEST(Integral, cv::gpu::DeviceInfo, cv::Size) |
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{ |
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cv::Size size = GET_PARAM(1); |
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cv::Mat src(size, CV_8UC1); |
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fill(src, 0, 255); |
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cv::Mat dst; |
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cv::integral(src, dst); |
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TEST_CYCLE() |
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{ |
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cv::integral(src, dst); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, Integral, testing::Combine( |
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ALL_DEVICES, |
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GPU_TYPICAL_MAT_SIZES)); |
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////////////////////////////////////////////////////////////////////// |
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// HistEven_OneChannel |
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GPU_PERF_TEST(HistEven_OneChannel, 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, 0, 255); |
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int hbins = 30; |
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float hranges[] = {0.0f, 180.0f}; |
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cv::Mat hist; |
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int histSize[] = {hbins}; |
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const float* ranges[] = {hranges}; |
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int channels[] = {0}; |
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cv::calcHist(&src, 1, channels, cv::Mat(), hist, 1, histSize, ranges); |
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TEST_CYCLE() |
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{ |
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cv::calcHist(&src, 1, channels, cv::Mat(), hist, 1, histSize, ranges); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, HistEven_OneChannel, 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), MatDepth(CV_16U), MatDepth(CV_16S)))); |
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////////////////////////////////////////////////////////////////////// |
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// EqualizeHist |
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GPU_PERF_TEST(EqualizeHist, cv::gpu::DeviceInfo, cv::Size) |
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{ |
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cv::Size size = GET_PARAM(1); |
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cv::Mat src(size, CV_8UC1); |
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fill(src, 0, 255); |
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cv::Mat dst; |
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cv::equalizeHist(src, dst); |
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TEST_CYCLE() |
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{ |
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cv::equalizeHist(src, dst); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, EqualizeHist, testing::Combine( |
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ALL_DEVICES, |
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GPU_TYPICAL_MAT_SIZES)); |
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////////////////////////////////////////////////////////////////////// |
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// Canny |
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IMPLEMENT_PARAM_CLASS(AppertureSize, int) |
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IMPLEMENT_PARAM_CLASS(L2gradient, bool) |
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GPU_PERF_TEST(Canny, cv::gpu::DeviceInfo, AppertureSize, L2gradient) |
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{ |
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int apperture_size = GET_PARAM(1); |
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bool useL2gradient = GET_PARAM(2); |
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cv::Mat image = readImage("perf/1280x1024.jpg", cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(image.empty()); |
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cv::Mat dst; |
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cv::Canny(image, dst, 50.0, 100.0, apperture_size, useL2gradient); |
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TEST_CYCLE() |
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{ |
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cv::Canny(image, dst, 50.0, 100.0, apperture_size, useL2gradient); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, Canny, testing::Combine( |
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ALL_DEVICES, |
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testing::Values(AppertureSize(3), AppertureSize(5)), |
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testing::Values(L2gradient(false), L2gradient(true)))); |
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////////////////////////////////////////////////////////////////////// |
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// MeanShiftFiltering |
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GPU_PERF_TEST_1(MeanShiftFiltering, cv::gpu::DeviceInfo) |
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{ |
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cv::Mat img = readImage("gpu/meanshift/cones.png"); |
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ASSERT_FALSE(img.empty()); |
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cv::Mat dst; |
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cv::pyrMeanShiftFiltering(img, dst, 50, 50); |
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declare.time(15.0); |
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TEST_CYCLE() |
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{ |
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cv::pyrMeanShiftFiltering(img, dst, 50, 50); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, MeanShiftFiltering, ALL_DEVICES); |
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////////////////////////////////////////////////////////////////////// |
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// Convolve |
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IMPLEMENT_PARAM_CLASS(KSize, int) |
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IMPLEMENT_PARAM_CLASS(Ccorr, bool) |
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GPU_PERF_TEST(Convolve, cv::gpu::DeviceInfo, cv::Size, KSize, Ccorr) |
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{ |
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cv::Size size = GET_PARAM(1); |
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int templ_size = GET_PARAM(2); |
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bool ccorr = GET_PARAM(3); |
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ASSERT_FALSE(ccorr); |
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cv::Mat image(size, CV_32FC1); |
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image.setTo(1.0); |
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cv::Mat templ(templ_size, templ_size, CV_32FC1); |
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templ.setTo(1.0); |
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cv::Mat dst; |
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cv::filter2D(image, dst, image.depth(), templ); |
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declare.time(10.0); |
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TEST_CYCLE() |
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{ |
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cv::filter2D(image, dst, image.depth(), templ); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, Convolve, testing::Combine( |
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ALL_DEVICES, |
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GPU_TYPICAL_MAT_SIZES, |
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testing::Values(KSize(3), KSize(9), KSize(17), KSize(27), KSize(32), KSize(64)), |
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testing::Values(Ccorr(false), Ccorr(true)))); |
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//////////////////////////////////////////////////////////////////////////////// |
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// MatchTemplate_8U |
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CV_ENUM(TemplateMethod, cv::TM_SQDIFF, cv::TM_SQDIFF_NORMED, cv::TM_CCORR, cv::TM_CCORR_NORMED, cv::TM_CCOEFF, cv::TM_CCOEFF_NORMED) |
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#define ALL_TEMPLATE_METHODS testing::Values(TemplateMethod(cv::TM_SQDIFF), TemplateMethod(cv::TM_SQDIFF_NORMED), TemplateMethod(cv::TM_CCORR), TemplateMethod(cv::TM_CCORR_NORMED), TemplateMethod(cv::TM_CCOEFF), TemplateMethod(cv::TM_CCOEFF_NORMED)) |
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IMPLEMENT_PARAM_CLASS(TemplateSize, cv::Size) |
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GPU_PERF_TEST(MatchTemplate_8U, cv::gpu::DeviceInfo, cv::Size, TemplateSize, Channels, TemplateMethod) |
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{ |
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cv::Size size = GET_PARAM(1); |
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cv::Size templ_size = GET_PARAM(2); |
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int cn = GET_PARAM(3); |
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int method = GET_PARAM(4); |
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cv::Mat image(size, CV_MAKE_TYPE(CV_8U, cn)); |
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fill(image, 0, 255); |
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cv::Mat templ(templ_size, CV_MAKE_TYPE(CV_8U, cn)); |
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fill(templ, 0, 255); |
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cv::Mat dst; |
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cv::matchTemplate(image, templ, dst, method); |
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TEST_CYCLE() |
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{ |
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cv::matchTemplate(image, templ, dst, method); |
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} |
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}; |
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INSTANTIATE_TEST_CASE_P(ImgProc, MatchTemplate_8U, testing::Combine( |
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ALL_DEVICES, |
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GPU_TYPICAL_MAT_SIZES, |
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testing::Values(TemplateSize(cv::Size(5, 5)), TemplateSize(cv::Size(16, 16)), TemplateSize(cv::Size(30, 30))), |
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testing::Values(Channels(1), Channels(3), Channels(4)), |
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ALL_TEMPLATE_METHODS)); |
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//////////////////////////////////////////////////////////////////////////////// |
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// MatchTemplate_32F |
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GPU_PERF_TEST(MatchTemplate_32F, cv::gpu::DeviceInfo, cv::Size, TemplateSize, Channels, TemplateMethod) |
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{ |
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cv::Size size = GET_PARAM(1); |
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cv::Size templ_size = GET_PARAM(2); |
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int cn = GET_PARAM(3); |
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int method = GET_PARAM(4); |
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cv::Mat image(size, CV_MAKE_TYPE(CV_32F, cn)); |
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fill(image, 0, 255); |
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cv::Mat templ(templ_size, CV_MAKE_TYPE(CV_32F, cn)); |
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fill(templ, 0, 255); |
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cv::Mat dst; |
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cv::matchTemplate(image, templ, dst, method); |
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TEST_CYCLE() |
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{ |
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cv::matchTemplate(image, templ, dst, method); |
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} |
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}; |
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INSTANTIATE_TEST_CASE_P(ImgProc, MatchTemplate_32F, testing::Combine( |
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ALL_DEVICES, |
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GPU_TYPICAL_MAT_SIZES, |
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testing::Values(TemplateSize(cv::Size(5, 5)), TemplateSize(cv::Size(16, 16)), TemplateSize(cv::Size(30, 30))), |
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testing::Values(Channels(1), Channels(3), Channels(4)), |
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testing::Values(TemplateMethod(cv::TM_SQDIFF), TemplateMethod(cv::TM_CCORR)))); |
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////////////////////////////////////////////////////////////////////// |
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// MulSpectrums |
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CV_FLAGS(DftFlags, 0, cv::DFT_INVERSE, cv::DFT_SCALE, cv::DFT_ROWS, cv::DFT_COMPLEX_OUTPUT, cv::DFT_REAL_OUTPUT) |
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GPU_PERF_TEST(MulSpectrums, cv::gpu::DeviceInfo, cv::Size, DftFlags) |
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{ |
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cv::Size size = GET_PARAM(1); |
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int flag = GET_PARAM(2); |
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cv::Mat a(size, CV_32FC2); |
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fill(a, 0, 100); |
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cv::Mat b(size, CV_32FC2); |
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fill(b, 0, 100); |
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cv::Mat dst; |
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cv::mulSpectrums(a, b, dst, flag); |
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TEST_CYCLE() |
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{ |
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cv::mulSpectrums(a, b, dst, flag); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, MulSpectrums, testing::Combine( |
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ALL_DEVICES, |
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GPU_TYPICAL_MAT_SIZES, |
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testing::Values(DftFlags(0), DftFlags(cv::DFT_ROWS)))); |
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|
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////////////////////////////////////////////////////////////////////// |
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// Dft |
|
|
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GPU_PERF_TEST(Dft, cv::gpu::DeviceInfo, cv::Size, DftFlags) |
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{ |
|
cv::Size size = GET_PARAM(1); |
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int flag = GET_PARAM(2); |
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|
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cv::Mat src(size, CV_32FC2); |
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fill(src, 0, 100); |
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|
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cv::Mat dst; |
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|
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cv::dft(src, dst, flag); |
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|
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declare.time(10.0); |
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|
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TEST_CYCLE() |
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{ |
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cv::dft(src, dst, flag); |
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} |
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} |
|
|
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INSTANTIATE_TEST_CASE_P(ImgProc, Dft, testing::Combine( |
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ALL_DEVICES, |
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GPU_TYPICAL_MAT_SIZES, |
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testing::Values(DftFlags(0), DftFlags(cv::DFT_ROWS), DftFlags(cv::DFT_INVERSE)))); |
|
|
|
////////////////////////////////////////////////////////////////////// |
|
// CornerHarris |
|
|
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IMPLEMENT_PARAM_CLASS(BlockSize, int) |
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IMPLEMENT_PARAM_CLASS(ApertureSize, int) |
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|
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GPU_PERF_TEST(CornerHarris, cv::gpu::DeviceInfo, MatType, BorderMode, BlockSize, ApertureSize) |
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{ |
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int type = GET_PARAM(1); |
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int borderType = GET_PARAM(2); |
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int blockSize = GET_PARAM(3); |
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int apertureSize = GET_PARAM(4); |
|
|
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cv::Mat img = readImage("gpu/stereobm/aloe-L.png", cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(img.empty()); |
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|
|
img.convertTo(img, type, type == CV_32F ? 1.0 / 255.0 : 1.0); |
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|
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cv::Mat dst; |
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|
|
double k = 0.5; |
|
|
|
cv::cornerHarris(img, dst, blockSize, apertureSize, k, borderType); |
|
|
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TEST_CYCLE() |
|
{ |
|
cv::cornerHarris(img, dst, blockSize, apertureSize, k, borderType); |
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} |
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} |
|
|
|
INSTANTIATE_TEST_CASE_P(ImgProc, CornerHarris, testing::Combine( |
|
ALL_DEVICES, |
|
testing::Values(MatType(CV_8UC1), MatType(CV_32FC1)), |
|
testing::Values(BorderMode(cv::BORDER_REFLECT101), BorderMode(cv::BORDER_REPLICATE), BorderMode(cv::BORDER_REFLECT)), |
|
testing::Values(BlockSize(3), BlockSize(5), BlockSize(7)), |
|
testing::Values(ApertureSize(0), ApertureSize(3), ApertureSize(5), ApertureSize(7)))); |
|
|
|
////////////////////////////////////////////////////////////////////// |
|
// CornerMinEigenVal |
|
|
|
GPU_PERF_TEST(CornerMinEigenVal, cv::gpu::DeviceInfo, MatType, BorderMode, BlockSize, ApertureSize) |
|
{ |
|
int type = GET_PARAM(1); |
|
int borderType = GET_PARAM(2); |
|
int blockSize = GET_PARAM(3); |
|
int apertureSize = GET_PARAM(4); |
|
|
|
cv::Mat img = readImage("gpu/stereobm/aloe-L.png", cv::IMREAD_GRAYSCALE); |
|
ASSERT_FALSE(img.empty()); |
|
|
|
img.convertTo(img, type, type == CV_32F ? 1.0 / 255.0 : 1.0); |
|
|
|
cv::Mat dst; |
|
|
|
cv::cornerMinEigenVal(img, dst, blockSize, apertureSize, borderType); |
|
|
|
TEST_CYCLE() |
|
{ |
|
cv::cornerMinEigenVal(img, dst, blockSize, apertureSize, borderType); |
|
} |
|
} |
|
|
|
INSTANTIATE_TEST_CASE_P(ImgProc, CornerMinEigenVal, testing::Combine( |
|
ALL_DEVICES, |
|
testing::Values(MatType(CV_8UC1), MatType(CV_32FC1)), |
|
testing::Values(BorderMode(cv::BORDER_REFLECT101), BorderMode(cv::BORDER_REPLICATE), BorderMode(cv::BORDER_REFLECT)), |
|
testing::Values(BlockSize(3), BlockSize(5), BlockSize(7)), |
|
testing::Values(ApertureSize(0), ApertureSize(3), ApertureSize(5), ApertureSize(7)))); |
|
|
|
////////////////////////////////////////////////////////////////////// |
|
// PyrDown |
|
|
|
GPU_PERF_TEST(PyrDown, cv::gpu::DeviceInfo, cv::Size, MatType) |
|
{ |
|
cv::Size size = GET_PARAM(1); |
|
int type = GET_PARAM(2); |
|
|
|
cv::Mat src(size, type); |
|
fill(src, 0, 255); |
|
|
|
cv::Mat dst; |
|
|
|
cv::pyrDown(src, dst); |
|
|
|
TEST_CYCLE() |
|
{ |
|
cv::pyrDown(src, dst); |
|
} |
|
} |
|
|
|
INSTANTIATE_TEST_CASE_P(ImgProc, PyrDown, testing::Combine( |
|
ALL_DEVICES, |
|
GPU_TYPICAL_MAT_SIZES, |
|
testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4), |
|
MatType(CV_16UC1), MatType(CV_16UC3), MatType(CV_16UC4), |
|
MatType(CV_32FC1), MatType(CV_32FC3), MatType(CV_32FC4)))); |
|
|
|
////////////////////////////////////////////////////////////////////// |
|
// PyrUp |
|
|
|
GPU_PERF_TEST(PyrUp, cv::gpu::DeviceInfo, cv::Size, MatType) |
|
{ |
|
cv::Size size = GET_PARAM(1); |
|
int type = GET_PARAM(2); |
|
|
|
cv::Mat src(size, type); |
|
fill(src, 0, 255); |
|
|
|
cv::Mat dst; |
|
|
|
cv::pyrUp(src, dst); |
|
|
|
TEST_CYCLE() |
|
{ |
|
cv::pyrUp(src, dst); |
|
} |
|
} |
|
|
|
INSTANTIATE_TEST_CASE_P(ImgProc, PyrUp, testing::Combine( |
|
ALL_DEVICES, |
|
GPU_TYPICAL_MAT_SIZES, |
|
testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4), |
|
MatType(CV_16UC1), MatType(CV_16UC3), MatType(CV_16UC4), |
|
MatType(CV_32FC1), MatType(CV_32FC3), MatType(CV_32FC4)))); |
|
|
|
////////////////////////////////////////////////////////////////////// |
|
// CvtColor |
|
|
|
GPU_PERF_TEST(CvtColor, cv::gpu::DeviceInfo, cv::Size, MatDepth, CvtColorInfo) |
|
{ |
|
cv::Size size = GET_PARAM(1); |
|
int depth = GET_PARAM(2); |
|
CvtColorInfo info = GET_PARAM(3); |
|
|
|
cv::Mat src(size, CV_MAKETYPE(depth, info.scn)); |
|
fill(src, 0, 255); |
|
|
|
cv::Mat dst; |
|
|
|
cv::cvtColor(src, dst, info.code, info.dcn); |
|
|
|
TEST_CYCLE() |
|
{ |
|
cv::cvtColor(src, dst, info.code, info.dcn); |
|
} |
|
} |
|
|
|
INSTANTIATE_TEST_CASE_P(ImgProc, CvtColor, testing::Combine( |
|
ALL_DEVICES, |
|
GPU_TYPICAL_MAT_SIZES, |
|
testing::Values(MatDepth(CV_8U), MatDepth(CV_16U), MatDepth(CV_32F)), |
|
testing::Values(CvtColorInfo(4, 4, cv::COLOR_RGBA2BGRA), |
|
CvtColorInfo(4, 1, cv::COLOR_BGRA2GRAY), |
|
CvtColorInfo(1, 4, cv::COLOR_GRAY2BGRA), |
|
CvtColorInfo(3, 3, cv::COLOR_BGR2XYZ), |
|
CvtColorInfo(3, 3, cv::COLOR_XYZ2BGR), |
|
CvtColorInfo(3, 3, cv::COLOR_BGR2YCrCb), |
|
CvtColorInfo(3, 3, cv::COLOR_YCrCb2BGR), |
|
CvtColorInfo(3, 3, cv::COLOR_BGR2YUV), |
|
CvtColorInfo(3, 3, cv::COLOR_YUV2BGR), |
|
CvtColorInfo(3, 3, cv::COLOR_BGR2HSV), |
|
CvtColorInfo(3, 3, cv::COLOR_HSV2BGR), |
|
CvtColorInfo(3, 3, cv::COLOR_BGR2HLS), |
|
CvtColorInfo(3, 3, cv::COLOR_HLS2BGR), |
|
CvtColorInfo(3, 3, cv::COLOR_BGR2Lab), |
|
CvtColorInfo(3, 3, cv::COLOR_RGB2Lab), |
|
CvtColorInfo(3, 3, cv::COLOR_BGR2Luv), |
|
CvtColorInfo(3, 3, cv::COLOR_RGB2Luv), |
|
CvtColorInfo(3, 3, cv::COLOR_Lab2BGR), |
|
CvtColorInfo(3, 3, cv::COLOR_Lab2RGB), |
|
CvtColorInfo(3, 3, cv::COLOR_Luv2BGR), |
|
CvtColorInfo(3, 3, cv::COLOR_Luv2RGB), |
|
CvtColorInfo(1, 3, cv::COLOR_BayerBG2BGR), |
|
CvtColorInfo(1, 3, cv::COLOR_BayerGB2BGR), |
|
CvtColorInfo(1, 3, cv::COLOR_BayerRG2BGR), |
|
CvtColorInfo(1, 3, cv::COLOR_BayerGR2BGR), |
|
CvtColorInfo(4, 4, cv::COLOR_RGBA2mRGBA)))); |
|
|
|
#endif
|
|
|