#include "perf_precomp.hpp" #ifdef HAVE_CUDA ////////////////////////////////////////////////////////////////////// // Remap GPU_PERF_TEST(Remap, cv::gpu::DeviceInfo, cv::Size, MatType, Interpolation, BorderMode) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); int type = GET_PARAM(2); int interpolation = GET_PARAM(3); int borderMode = GET_PARAM(4); cv::Mat src_host(size, type); fill(src_host, 0, 255); cv::Mat xmap_host(size, CV_32FC1); fill(xmap_host, 0, size.width); cv::Mat ymap_host(size, CV_32FC1); fill(ymap_host, 0, size.height); cv::gpu::GpuMat src(src_host); cv::gpu::GpuMat xmap(xmap_host); cv::gpu::GpuMat ymap(ymap_host); cv::gpu::GpuMat dst; cv::gpu::remap(src, dst, xmap, ymap, interpolation, borderMode); declare.time(3.0); TEST_CYCLE() { cv::gpu::remap(src, dst, xmap, ymap, interpolation, borderMode); } } INSTANTIATE_TEST_CASE_P(ImgProc, Remap, 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)), testing::Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC)), testing::Values(BorderMode(cv::BORDER_REFLECT101), BorderMode(cv::BORDER_REPLICATE), BorderMode(cv::BORDER_CONSTANT), BorderMode(cv::BORDER_REFLECT), BorderMode(cv::BORDER_WRAP)))); ////////////////////////////////////////////////////////////////////// // Resize IMPLEMENT_PARAM_CLASS(Scale, double) GPU_PERF_TEST(Resize, cv::gpu::DeviceInfo, cv::Size, MatType, Interpolation, Scale) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); int type = GET_PARAM(2); int interpolation = GET_PARAM(3); double f = GET_PARAM(4); cv::Mat src_host(size, type); fill(src_host, 0, 255); cv::gpu::GpuMat src(src_host); cv::gpu::GpuMat dst; cv::gpu::resize(src, dst, cv::Size(), f, f, interpolation); declare.time(1.0); TEST_CYCLE() { cv::gpu::resize(src, dst, cv::Size(), f, f, interpolation); } } INSTANTIATE_TEST_CASE_P(ImgProc, Resize, 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)), testing::Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC), Interpolation(cv::INTER_AREA)), testing::Values(Scale(0.5), Scale(0.3), Scale(2.0)))); ////////////////////////////////////////////////////////////////////// // WarpAffine GPU_PERF_TEST(WarpAffine, cv::gpu::DeviceInfo, cv::Size, MatType, Interpolation, BorderMode) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); int type = GET_PARAM(2); int interpolation = GET_PARAM(3); int borderMode = GET_PARAM(4); cv::Mat src_host(size, type); fill(src_host, 0, 255); cv::gpu::GpuMat src(src_host); cv::gpu::GpuMat dst; const double aplha = CV_PI / 4; double mat[2][3] = { {std::cos(aplha), -std::sin(aplha), src.cols / 2}, {std::sin(aplha), std::cos(aplha), 0}}; cv::Mat M(2, 3, CV_64F, (void*) mat); cv::gpu::warpAffine(src, dst, M, size, interpolation, borderMode); TEST_CYCLE() { cv::gpu::warpAffine(src, dst, M, size, interpolation, borderMode); } } INSTANTIATE_TEST_CASE_P(ImgProc, WarpAffine, 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)), testing::Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC)), testing::Values(BorderMode(cv::BORDER_REFLECT101), BorderMode(cv::BORDER_REPLICATE), BorderMode(cv::BORDER_CONSTANT), BorderMode(cv::BORDER_REFLECT), BorderMode(cv::BORDER_WRAP)))); ////////////////////////////////////////////////////////////////////// // WarpPerspective GPU_PERF_TEST(WarpPerspective, cv::gpu::DeviceInfo, cv::Size, MatType, Interpolation, BorderMode) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); int type = GET_PARAM(2); int interpolation = GET_PARAM(3); int borderMode = GET_PARAM(4); cv::Mat src_host(size, type); fill(src_host, 0, 255); cv::gpu::GpuMat src(src_host); cv::gpu::GpuMat dst; const double aplha = CV_PI / 4; double mat[3][3] = { {std::cos(aplha), -std::sin(aplha), src.cols / 2}, {std::sin(aplha), std::cos(aplha), 0}, {0.0, 0.0, 1.0}}; cv::Mat M(3, 3, CV_64F, (void*) mat); cv::gpu::warpPerspective(src, dst, M, size, interpolation, borderMode); TEST_CYCLE() { cv::gpu::warpPerspective(src, dst, M, size, interpolation, borderMode); } } INSTANTIATE_TEST_CASE_P(ImgProc, WarpPerspective, 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)), testing::Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC)), testing::Values(BorderMode(cv::BORDER_REFLECT101), BorderMode(cv::BORDER_REPLICATE), BorderMode(cv::BORDER_CONSTANT), BorderMode(cv::BORDER_REFLECT), BorderMode(cv::BORDER_WRAP)))); ////////////////////////////////////////////////////////////////////// // CopyMakeBorder GPU_PERF_TEST(CopyMakeBorder, cv::gpu::DeviceInfo, cv::Size, MatType, BorderMode) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); int type = GET_PARAM(2); int borderType = GET_PARAM(3); cv::Mat src_host(size, type); fill(src_host, 0, 255); cv::gpu::GpuMat src(src_host); cv::gpu::GpuMat dst; cv::gpu::copyMakeBorder(src, dst, 5, 5, 5, 5, borderType); TEST_CYCLE() { cv::gpu::copyMakeBorder(src, dst, 5, 5, 5, 5, borderType); } } INSTANTIATE_TEST_CASE_P(ImgProc, CopyMakeBorder, 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)), testing::Values(BorderMode(cv::BORDER_REFLECT101), BorderMode(cv::BORDER_REPLICATE), BorderMode(cv::BORDER_CONSTANT), BorderMode(cv::BORDER_REFLECT), BorderMode(cv::BORDER_WRAP)))); ////////////////////////////////////////////////////////////////////// // Threshold CV_ENUM(ThreshOp, cv::THRESH_BINARY, cv::THRESH_BINARY_INV, cv::THRESH_TRUNC, cv::THRESH_TOZERO, cv::THRESH_TOZERO_INV) #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)) GPU_PERF_TEST(Threshold, cv::gpu::DeviceInfo, cv::Size, MatDepth, ThreshOp) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); int depth = GET_PARAM(2); int threshOp = GET_PARAM(3); cv::Mat src_host(size, depth); fill(src_host, 0, 255); cv::gpu::GpuMat src(src_host); cv::gpu::GpuMat dst; cv::gpu::threshold(src, dst, 100.0, 255.0, threshOp); TEST_CYCLE() { cv::gpu::threshold(src, dst, 100.0, 255.0, threshOp); } } INSTANTIATE_TEST_CASE_P(ImgProc, Threshold, testing::Combine( ALL_DEVICES, GPU_TYPICAL_MAT_SIZES, testing::Values(MatDepth(CV_8U), MatDepth(CV_16U), MatDepth(CV_32F), MatDepth(CV_64F)), ALL_THRESH_OPS)); ////////////////////////////////////////////////////////////////////// // Integral GPU_PERF_TEST(Integral, cv::gpu::DeviceInfo, cv::Size) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); cv::Mat src_host(size, CV_8UC1); fill(src_host, 0, 255); cv::gpu::GpuMat src(src_host); cv::gpu::GpuMat dst; cv::gpu::GpuMat buf; cv::gpu::integralBuffered(src, dst, buf); TEST_CYCLE() { cv::gpu::integralBuffered(src, dst, buf); } } INSTANTIATE_TEST_CASE_P(ImgProc, Integral, testing::Combine( ALL_DEVICES, GPU_TYPICAL_MAT_SIZES)); ////////////////////////////////////////////////////////////////////// // Integral_Sqr GPU_PERF_TEST(Integral_Sqr, cv::gpu::DeviceInfo, cv::Size) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); cv::Mat src_host(size, CV_8UC1); fill(src_host, 0, 255); cv::gpu::GpuMat src(src_host); cv::gpu::GpuMat dst; cv::gpu::sqrIntegral(src, dst); TEST_CYCLE() { cv::gpu::sqrIntegral(src, dst); } } INSTANTIATE_TEST_CASE_P(ImgProc, Integral_Sqr, testing::Combine( ALL_DEVICES, GPU_TYPICAL_MAT_SIZES)); ////////////////////////////////////////////////////////////////////// // HistEven_OneChannel GPU_PERF_TEST(HistEven_OneChannel, cv::gpu::DeviceInfo, cv::Size, MatDepth) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); int depth = GET_PARAM(2); cv::Mat src_host(size, depth); fill(src_host, 0, 255); cv::gpu::GpuMat src(src_host); cv::gpu::GpuMat hist; cv::gpu::GpuMat buf; cv::gpu::histEven(src, hist, buf, 30, 0, 180); TEST_CYCLE() { cv::gpu::histEven(src, hist, buf, 30, 0, 180); } } INSTANTIATE_TEST_CASE_P(ImgProc, HistEven_OneChannel, testing::Combine( ALL_DEVICES, GPU_TYPICAL_MAT_SIZES, testing::Values(MatDepth(CV_8U), MatDepth(CV_16U), MatDepth(CV_16S)))); ////////////////////////////////////////////////////////////////////// // HistEven_FourChannel GPU_PERF_TEST(HistEven_FourChannel, cv::gpu::DeviceInfo, cv::Size, MatDepth) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); int depth = GET_PARAM(2); cv::Mat src_host(size, CV_MAKE_TYPE(depth, 4)); fill(src_host, 0, 255); cv::gpu::GpuMat src(src_host); cv::gpu::GpuMat hist[4]; cv::gpu::GpuMat buf; int histSize[] = {30, 30, 30, 30}; int lowerLevel[] = {0, 0, 0, 0}; int upperLevel[] = {180, 180, 180, 180}; cv::gpu::histEven(src, hist, buf, histSize, lowerLevel, upperLevel); TEST_CYCLE() { cv::gpu::histEven(src, hist, buf, histSize, lowerLevel, upperLevel); } } INSTANTIATE_TEST_CASE_P(ImgProc, HistEven_FourChannel, testing::Combine( ALL_DEVICES, GPU_TYPICAL_MAT_SIZES, testing::Values(MatDepth(CV_8U), MatDepth(CV_16U), MatDepth(CV_16S)))); ////////////////////////////////////////////////////////////////////// // CalcHist GPU_PERF_TEST(CalcHist, cv::gpu::DeviceInfo, cv::Size) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); cv::Mat src_host(size, CV_8UC1); fill(src_host, 0, 255); cv::gpu::GpuMat src(src_host); cv::gpu::GpuMat hist; cv::gpu::GpuMat buf; cv::gpu::calcHist(src, hist, buf); TEST_CYCLE() { cv::gpu::calcHist(src, hist, buf); } } INSTANTIATE_TEST_CASE_P(ImgProc, CalcHist, testing::Combine( ALL_DEVICES, GPU_TYPICAL_MAT_SIZES)); ////////////////////////////////////////////////////////////////////// // EqualizeHist GPU_PERF_TEST(EqualizeHist, cv::gpu::DeviceInfo, cv::Size) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); cv::Mat src_host(size, CV_8UC1); fill(src_host, 0, 255); cv::gpu::GpuMat src(src_host); cv::gpu::GpuMat dst; cv::gpu::GpuMat hist; cv::gpu::GpuMat buf; cv::gpu::equalizeHist(src, dst, hist, buf); TEST_CYCLE() { cv::gpu::equalizeHist(src, dst, hist, buf); } } INSTANTIATE_TEST_CASE_P(ImgProc, EqualizeHist, testing::Combine( ALL_DEVICES, GPU_TYPICAL_MAT_SIZES)); ////////////////////////////////////////////////////////////////////// // ColumnSum GPU_PERF_TEST(ColumnSum, cv::gpu::DeviceInfo, cv::Size) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); cv::Mat src_host(size, CV_32FC1); fill(src_host, 0, 255); cv::gpu::GpuMat src(src_host); cv::gpu::GpuMat dst; cv::gpu::columnSum(src, dst); TEST_CYCLE() { cv::gpu::columnSum(src, dst); } } INSTANTIATE_TEST_CASE_P(ImgProc, ColumnSum, testing::Combine( ALL_DEVICES, GPU_TYPICAL_MAT_SIZES)); ////////////////////////////////////////////////////////////////////// // Canny IMPLEMENT_PARAM_CLASS(AppertureSize, int) IMPLEMENT_PARAM_CLASS(L2gradient, bool) GPU_PERF_TEST(Canny, cv::gpu::DeviceInfo, AppertureSize, L2gradient) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); int apperture_size = GET_PARAM(1); bool useL2gradient = GET_PARAM(2); cv::Mat image_host = readImage("perf/1280x1024.jpg", cv::IMREAD_GRAYSCALE); ASSERT_FALSE(image_host.empty()); cv::gpu::GpuMat image(image_host); cv::gpu::GpuMat dst; cv::gpu::CannyBuf buf; cv::gpu::Canny(image, buf, dst, 50.0, 100.0, apperture_size, useL2gradient); TEST_CYCLE() { cv::gpu::Canny(image, buf, dst, 50.0, 100.0, apperture_size, useL2gradient); } } INSTANTIATE_TEST_CASE_P(ImgProc, Canny, testing::Combine( ALL_DEVICES, testing::Values(AppertureSize(3), AppertureSize(5)), testing::Values(L2gradient(false), L2gradient(true)))); ////////////////////////////////////////////////////////////////////// // MeanShiftFiltering GPU_PERF_TEST_1(MeanShiftFiltering, cv::gpu::DeviceInfo) { cv::gpu::DeviceInfo devInfo = GetParam(); cv::gpu::setDevice(devInfo.deviceID()); cv::Mat img = readImage("gpu/meanshift/cones.png"); ASSERT_FALSE(img.empty()); cv::Mat rgba; cv::cvtColor(img, rgba, cv::COLOR_BGR2BGRA); cv::gpu::GpuMat src(rgba); cv::gpu::GpuMat dst; cv::gpu::meanShiftFiltering(src, dst, 50, 50); declare.time(5.0); TEST_CYCLE() { cv::gpu::meanShiftFiltering(src, dst, 50, 50); } } INSTANTIATE_TEST_CASE_P(ImgProc, MeanShiftFiltering, ALL_DEVICES); ////////////////////////////////////////////////////////////////////// // MeanShiftProc GPU_PERF_TEST_1(MeanShiftProc, cv::gpu::DeviceInfo) { cv::gpu::DeviceInfo devInfo = GetParam(); cv::gpu::setDevice(devInfo.deviceID()); cv::Mat img = readImage("gpu/meanshift/cones.png"); ASSERT_FALSE(img.empty()); cv::Mat rgba; cv::cvtColor(img, rgba, cv::COLOR_BGR2BGRA); cv::gpu::GpuMat src(rgba); cv::gpu::GpuMat dstr; cv::gpu::GpuMat dstsp; cv::gpu::meanShiftProc(src, dstr, dstsp, 50, 50); declare.time(5.0); TEST_CYCLE() { cv::gpu::meanShiftProc(src, dstr, dstsp, 50, 50); } } INSTANTIATE_TEST_CASE_P(ImgProc, MeanShiftProc, ALL_DEVICES); ////////////////////////////////////////////////////////////////////// // MeanShiftSegmentation GPU_PERF_TEST_1(MeanShiftSegmentation, cv::gpu::DeviceInfo) { cv::gpu::DeviceInfo devInfo = GetParam(); cv::gpu::setDevice(devInfo.deviceID()); cv::Mat img = readImage("gpu/meanshift/cones.png"); ASSERT_FALSE(img.empty()); cv::Mat rgba; cv::cvtColor(img, rgba, cv::COLOR_BGR2BGRA); cv::gpu::GpuMat src(rgba); cv::Mat dst; meanShiftSegmentation(src, dst, 10, 10, 20); declare.time(5.0); TEST_CYCLE() { meanShiftSegmentation(src, dst, 10, 10, 20); } } INSTANTIATE_TEST_CASE_P(ImgProc, MeanShiftSegmentation, ALL_DEVICES); ////////////////////////////////////////////////////////////////////// // BlendLinear GPU_PERF_TEST(BlendLinear, cv::gpu::DeviceInfo, cv::Size, MatType) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); int type = GET_PARAM(2); cv::Mat img1_host(size, type); fill(img1_host, 0, 255); cv::Mat img2_host(size, type); fill(img2_host, 0, 255); cv::gpu::GpuMat img1(img1_host); cv::gpu::GpuMat img2(img2_host); cv::gpu::GpuMat weights1(size, CV_32FC1, cv::Scalar::all(0.5)); cv::gpu::GpuMat weights2(size, CV_32FC1, cv::Scalar::all(0.5)); cv::gpu::GpuMat dst; cv::gpu::blendLinear(img1, img2, weights1, weights2, dst); TEST_CYCLE() { cv::gpu::blendLinear(img1, img2, weights1, weights2, dst); } } INSTANTIATE_TEST_CASE_P(ImgProc, BlendLinear, testing::Combine( ALL_DEVICES, GPU_TYPICAL_MAT_SIZES, testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4), MatType(CV_32FC1), MatType(CV_32FC3), MatType(CV_32FC4)))); ////////////////////////////////////////////////////////////////////// // Convolve IMPLEMENT_PARAM_CLASS(KSize, int) IMPLEMENT_PARAM_CLASS(Ccorr, bool) GPU_PERF_TEST(Convolve, cv::gpu::DeviceInfo, cv::Size, KSize, Ccorr) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); int templ_size = GET_PARAM(2); bool ccorr = GET_PARAM(3); cv::gpu::GpuMat image = cv::gpu::createContinuous(size, CV_32FC1); image.setTo(cv::Scalar(1.0)); cv::gpu::GpuMat templ = cv::gpu::createContinuous(templ_size, templ_size, CV_32FC1); templ.setTo(cv::Scalar(1.0)); cv::gpu::GpuMat dst; cv::gpu::ConvolveBuf buf; cv::gpu::convolve(image, templ, dst, ccorr, buf); declare.time(2.0); TEST_CYCLE() { cv::gpu::convolve(image, templ, dst, ccorr, buf); } } INSTANTIATE_TEST_CASE_P(ImgProc, Convolve, testing::Combine( ALL_DEVICES, GPU_TYPICAL_MAT_SIZES, testing::Values(KSize(3), KSize(9), KSize(17), KSize(27), KSize(32), KSize(64)), testing::Values(Ccorr(false), Ccorr(true)))); //////////////////////////////////////////////////////////////////////////////// // MatchTemplate_8U CV_ENUM(TemplateMethod, cv::TM_SQDIFF, cv::TM_SQDIFF_NORMED, cv::TM_CCORR, cv::TM_CCORR_NORMED, cv::TM_CCOEFF, cv::TM_CCOEFF_NORMED) #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)) IMPLEMENT_PARAM_CLASS(TemplateSize, cv::Size) GPU_PERF_TEST(MatchTemplate_8U, cv::gpu::DeviceInfo, cv::Size, TemplateSize, Channels, TemplateMethod) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); cv::Size templ_size = GET_PARAM(2); int cn = GET_PARAM(3); int method = GET_PARAM(4); cv::Mat image_host(size, CV_MAKE_TYPE(CV_8U, cn)); fill(image_host, 0, 255); cv::Mat templ_host(templ_size, CV_MAKE_TYPE(CV_8U, cn)); fill(templ_host, 0, 255); cv::gpu::GpuMat image(image_host); cv::gpu::GpuMat templ(templ_host); cv::gpu::GpuMat dst; cv::gpu::matchTemplate(image, templ, dst, method); TEST_CYCLE() { cv::gpu::matchTemplate(image, templ, dst, method); } }; INSTANTIATE_TEST_CASE_P(ImgProc, MatchTemplate_8U, testing::Combine( ALL_DEVICES, GPU_TYPICAL_MAT_SIZES, testing::Values(TemplateSize(cv::Size(5, 5)), TemplateSize(cv::Size(16, 16)), TemplateSize(cv::Size(30, 30))), testing::Values(Channels(1), Channels(3), Channels(4)), ALL_TEMPLATE_METHODS)); //////////////////////////////////////////////////////////////////////////////// // MatchTemplate_32F GPU_PERF_TEST(MatchTemplate_32F, cv::gpu::DeviceInfo, cv::Size, TemplateSize, Channels, TemplateMethod) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); cv::Size templ_size = GET_PARAM(2); int cn = GET_PARAM(3); int method = GET_PARAM(4); cv::Mat image_host(size, CV_MAKE_TYPE(CV_32F, cn)); fill(image_host, 0, 255); cv::Mat templ_host(templ_size, CV_MAKE_TYPE(CV_32F, cn)); fill(templ_host, 0, 255); cv::gpu::GpuMat image(image_host); cv::gpu::GpuMat templ(templ_host); cv::gpu::GpuMat dst; cv::gpu::matchTemplate(image, templ, dst, method); TEST_CYCLE() { cv::gpu::matchTemplate(image, templ, dst, method); } }; INSTANTIATE_TEST_CASE_P(ImgProc, MatchTemplate_32F, testing::Combine( ALL_DEVICES, GPU_TYPICAL_MAT_SIZES, testing::Values(TemplateSize(cv::Size(5, 5)), TemplateSize(cv::Size(16, 16)), TemplateSize(cv::Size(30, 30))), testing::Values(Channels(1), Channels(3), Channels(4)), testing::Values(TemplateMethod(cv::TM_SQDIFF), TemplateMethod(cv::TM_CCORR)))); ////////////////////////////////////////////////////////////////////// // MulSpectrums CV_FLAGS(DftFlags, 0, cv::DFT_INVERSE, cv::DFT_SCALE, cv::DFT_ROWS, cv::DFT_COMPLEX_OUTPUT, cv::DFT_REAL_OUTPUT) GPU_PERF_TEST(MulSpectrums, cv::gpu::DeviceInfo, cv::Size, DftFlags) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); int flag = GET_PARAM(2); cv::Mat a_host(size, CV_32FC2); fill(a_host, 0, 100); cv::Mat b_host(size, CV_32FC2); fill(b_host, 0, 100); cv::gpu::GpuMat a(a_host); cv::gpu::GpuMat b(b_host); cv::gpu::GpuMat dst; cv::gpu::mulSpectrums(a, b, dst, flag); TEST_CYCLE() { cv::gpu::mulSpectrums(a, b, dst, flag); } } INSTANTIATE_TEST_CASE_P(ImgProc, MulSpectrums, testing::Combine( ALL_DEVICES, GPU_TYPICAL_MAT_SIZES, testing::Values(DftFlags(0), DftFlags(cv::DFT_ROWS)))); ////////////////////////////////////////////////////////////////////// // MulAndScaleSpectrums GPU_PERF_TEST(MulAndScaleSpectrums, cv::gpu::DeviceInfo, cv::Size) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); float scale = 1.f / size.area(); cv::Mat src1_host(size, CV_32FC2); fill(src1_host, 0, 100); cv::Mat src2_host(size, CV_32FC2); fill(src2_host, 0, 100); cv::gpu::GpuMat src1(src1_host); cv::gpu::GpuMat src2(src2_host); cv::gpu::GpuMat dst; cv::gpu::mulAndScaleSpectrums(src1, src2, dst, cv::DFT_ROWS, scale, false); TEST_CYCLE() { cv::gpu::mulAndScaleSpectrums(src1, src2, dst, cv::DFT_ROWS, scale, false); } } INSTANTIATE_TEST_CASE_P(ImgProc, MulAndScaleSpectrums, testing::Combine( ALL_DEVICES, GPU_TYPICAL_MAT_SIZES)); ////////////////////////////////////////////////////////////////////// // Dft GPU_PERF_TEST(Dft, cv::gpu::DeviceInfo, cv::Size, DftFlags) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); int flag = GET_PARAM(2); cv::Mat src_host(size, CV_32FC2); fill(src_host, 0, 100); cv::gpu::GpuMat src(src_host); cv::gpu::GpuMat dst; cv::gpu::dft(src, dst, size, flag); declare.time(2.0); TEST_CYCLE() { cv::gpu::dft(src, dst, size, flag); } } INSTANTIATE_TEST_CASE_P(ImgProc, Dft, testing::Combine( ALL_DEVICES, GPU_TYPICAL_MAT_SIZES, testing::Values(DftFlags(0), DftFlags(cv::DFT_ROWS), DftFlags(cv::DFT_INVERSE)))); ////////////////////////////////////////////////////////////////////// // CornerHarris IMPLEMENT_PARAM_CLASS(BlockSize, int) IMPLEMENT_PARAM_CLASS(ApertureSize, int) GPU_PERF_TEST(CornerHarris, cv::gpu::DeviceInfo, MatType, BorderMode, BlockSize, ApertureSize) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); 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::gpu::GpuMat src(img); cv::gpu::GpuMat dst; cv::gpu::GpuMat Dx; cv::gpu::GpuMat Dy; cv::gpu::GpuMat buf; double k = 0.5; cv::gpu::cornerHarris(src, dst, Dx, Dy, buf, blockSize, apertureSize, k, borderType); TEST_CYCLE() { cv::gpu::cornerHarris(src, dst, Dx, Dy, buf, blockSize, apertureSize, k, borderType); } } 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) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); 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::gpu::GpuMat src(img); cv::gpu::GpuMat dst; cv::gpu::GpuMat Dx; cv::gpu::GpuMat Dy; cv::gpu::GpuMat buf; cv::gpu::cornerMinEigenVal(src, dst, Dx, Dy, buf, blockSize, apertureSize, borderType); TEST_CYCLE() { cv::gpu::cornerMinEigenVal(src, dst, Dx, Dy, buf, 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)))); ////////////////////////////////////////////////////////////////////// // BuildWarpPlaneMaps GPU_PERF_TEST(BuildWarpPlaneMaps, cv::gpu::DeviceInfo, cv::Size) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); cv::Mat K = cv::Mat::eye(3, 3, CV_32FC1); cv::Mat R = cv::Mat::ones(3, 3, CV_32FC1); cv::Mat T = cv::Mat::zeros(1, 3, CV_32F); cv::gpu::GpuMat map_x; cv::gpu::GpuMat map_y; cv::gpu::buildWarpPlaneMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, T, 1.0, map_x, map_y); TEST_CYCLE() { cv::gpu::buildWarpPlaneMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, T, 1.0, map_x, map_y); } } INSTANTIATE_TEST_CASE_P(ImgProc, BuildWarpPlaneMaps, testing::Combine( ALL_DEVICES, GPU_TYPICAL_MAT_SIZES)); ////////////////////////////////////////////////////////////////////// // BuildWarpCylindricalMaps GPU_PERF_TEST(BuildWarpCylindricalMaps, cv::gpu::DeviceInfo, cv::Size) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); cv::Mat K = cv::Mat::eye(3, 3, CV_32FC1); cv::Mat R = cv::Mat::ones(3, 3, CV_32FC1); cv::gpu::GpuMat map_x; cv::gpu::GpuMat map_y; cv::gpu::buildWarpCylindricalMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, 1.0, map_x, map_y); TEST_CYCLE() { cv::gpu::buildWarpCylindricalMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, 1.0, map_x, map_y); } } INSTANTIATE_TEST_CASE_P(ImgProc, BuildWarpCylindricalMaps, testing::Combine( ALL_DEVICES, GPU_TYPICAL_MAT_SIZES)); ////////////////////////////////////////////////////////////////////// // BuildWarpSphericalMaps GPU_PERF_TEST(BuildWarpSphericalMaps, cv::gpu::DeviceInfo, cv::Size) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); cv::Mat K = cv::Mat::eye(3, 3, CV_32FC1); cv::Mat R = cv::Mat::ones(3, 3, CV_32FC1); cv::gpu::GpuMat map_x; cv::gpu::GpuMat map_y; cv::gpu::buildWarpSphericalMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, 1.0, map_x, map_y); TEST_CYCLE() { cv::gpu::buildWarpSphericalMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, 1.0, map_x, map_y); } } INSTANTIATE_TEST_CASE_P(ImgProc, BuildWarpSphericalMaps, testing::Combine( ALL_DEVICES, GPU_TYPICAL_MAT_SIZES)); ////////////////////////////////////////////////////////////////////// // Rotate GPU_PERF_TEST(Rotate, cv::gpu::DeviceInfo, cv::Size, MatType, Interpolation) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); int type = GET_PARAM(2); int interpolation = GET_PARAM(3); cv::Mat src_host(size, type); fill(src_host, 0, 255); cv::gpu::GpuMat src(src_host); cv::gpu::GpuMat dst; cv::gpu::rotate(src, dst, size, 30.0, 0, 0, interpolation); TEST_CYCLE() { cv::gpu::rotate(src, dst, size, 30.0, 0, 0, interpolation); } } INSTANTIATE_TEST_CASE_P(ImgProc, Rotate, 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)), testing::Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC)))); ////////////////////////////////////////////////////////////////////// // PyrDown GPU_PERF_TEST(PyrDown, cv::gpu::DeviceInfo, cv::Size, MatType) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); int type = GET_PARAM(2); cv::Mat src_host(size, type); fill(src_host, 0, 255); cv::gpu::GpuMat src(src_host); cv::gpu::GpuMat dst; cv::gpu::pyrDown(src, dst); TEST_CYCLE() { cv::gpu::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::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); int type = GET_PARAM(2); cv::Mat src_host(size, type); fill(src_host, 0, 255); cv::gpu::GpuMat src(src_host); cv::gpu::GpuMat dst; cv::gpu::pyrUp(src, dst); TEST_CYCLE() { cv::gpu::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::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); int depth = GET_PARAM(2); CvtColorInfo info = GET_PARAM(3); cv::Mat src_host(size, CV_MAKETYPE(depth, info.scn)); fill(src_host, 0, 255); cv::gpu::GpuMat src(src_host); cv::gpu::GpuMat dst; cv::gpu::cvtColor(src, dst, info.code, info.dcn); TEST_CYCLE() { cv::gpu::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)))); ////////////////////////////////////////////////////////////////////// // SwapChannels GPU_PERF_TEST(SwapChannels, cv::gpu::DeviceInfo, cv::Size) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); cv::Mat src_host(size, CV_8UC4); fill(src_host, 0, 255); cv::gpu::GpuMat src(src_host); const int dstOrder[] = {2, 1, 0, 3}; cv::gpu::swapChannels(src, dstOrder); TEST_CYCLE() { cv::gpu::swapChannels(src, dstOrder); } } INSTANTIATE_TEST_CASE_P(ImgProc, SwapChannels, testing::Combine(ALL_DEVICES, GPU_TYPICAL_MAT_SIZES)); ////////////////////////////////////////////////////////////////////// // AlphaComp CV_ENUM(AlphaOp, cv::gpu::ALPHA_OVER, cv::gpu::ALPHA_IN, cv::gpu::ALPHA_OUT, cv::gpu::ALPHA_ATOP, cv::gpu::ALPHA_XOR, cv::gpu::ALPHA_PLUS, cv::gpu::ALPHA_OVER_PREMUL, cv::gpu::ALPHA_IN_PREMUL, cv::gpu::ALPHA_OUT_PREMUL, cv::gpu::ALPHA_ATOP_PREMUL, cv::gpu::ALPHA_XOR_PREMUL, cv::gpu::ALPHA_PLUS_PREMUL, cv::gpu::ALPHA_PREMUL) GPU_PERF_TEST(AlphaComp, cv::gpu::DeviceInfo, cv::Size, MatType, AlphaOp) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); int type = GET_PARAM(2); int alpha_op = GET_PARAM(3); cv::Mat img1_host(size, type); fill(img1_host, 0, 255); cv::Mat img2_host(size, type); fill(img2_host, 0, 255); cv::gpu::GpuMat img1(img1_host); cv::gpu::GpuMat img2(img2_host); cv::gpu::GpuMat dst; cv::gpu::alphaComp(img1, img2, dst, alpha_op); TEST_CYCLE() { cv::gpu::alphaComp(img1, img2, dst, alpha_op); } } INSTANTIATE_TEST_CASE_P(ImgProc, AlphaComp, testing::Combine( ALL_DEVICES, GPU_TYPICAL_MAT_SIZES, testing::Values(MatType(CV_8UC4), MatType(CV_16UC4), MatType(CV_32SC4), MatType(CV_32FC4)), testing::Values(AlphaOp(cv::gpu::ALPHA_OVER), AlphaOp(cv::gpu::ALPHA_IN), AlphaOp(cv::gpu::ALPHA_OUT), AlphaOp(cv::gpu::ALPHA_ATOP), AlphaOp(cv::gpu::ALPHA_XOR), AlphaOp(cv::gpu::ALPHA_PLUS), AlphaOp(cv::gpu::ALPHA_OVER_PREMUL), AlphaOp(cv::gpu::ALPHA_IN_PREMUL), AlphaOp(cv::gpu::ALPHA_OUT_PREMUL), AlphaOp(cv::gpu::ALPHA_ATOP_PREMUL), AlphaOp(cv::gpu::ALPHA_XOR_PREMUL), AlphaOp(cv::gpu::ALPHA_PLUS_PREMUL), AlphaOp(cv::gpu::ALPHA_PREMUL)))); ////////////////////////////////////////////////////////////////////// // ImagePyramid GPU_PERF_TEST(ImagePyramid_build, cv::gpu::DeviceInfo, cv::Size, MatType) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); int type = GET_PARAM(2); cv::Mat src_host(size, type); fill(src_host, 0, 255); cv::gpu::GpuMat src(src_host); cv::gpu::ImagePyramid pyr; pyr.build(src, 5); TEST_CYCLE() { pyr.build(src, 5); } } INSTANTIATE_TEST_CASE_P(ImgProc, ImagePyramid_build, 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)))); GPU_PERF_TEST(ImagePyramid_getLayer, cv::gpu::DeviceInfo, cv::Size, MatType) { cv::gpu::DeviceInfo devInfo = GET_PARAM(0); cv::gpu::setDevice(devInfo.deviceID()); cv::Size size = GET_PARAM(1); int type = GET_PARAM(2); cv::Mat src_host(size, type); fill(src_host, 0, 255); cv::gpu::GpuMat src(src_host); cv::gpu::GpuMat dst; cv::gpu::ImagePyramid pyr(src, 3); pyr.getLayer(dst, cv::Size(size.width / 2 + 10, size.height / 2 + 10)); TEST_CYCLE() { pyr.getLayer(dst, cv::Size(size.width / 2 + 10, size.height / 2 + 10)); } } INSTANTIATE_TEST_CASE_P(ImgProc, ImagePyramid_getLayer, 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)))); #endif