mirror of
https://github.com/opencv/opencv.git
synced 2024-12-18 11:28:02 +08:00
1382 lines
42 KiB
C++
1382 lines
42 KiB
C++
#include "perf_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::gpu::DeviceInfo devInfo = GET_PARAM(0);
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cv::gpu::setDevice(devInfo.deviceID());
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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_host(size, type);
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fill(src_host, 0, 255);
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cv::Mat xmap_host(size, CV_32FC1);
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fill(xmap_host, 0, size.width);
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cv::Mat ymap_host(size, CV_32FC1);
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fill(ymap_host, 0, size.height);
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cv::gpu::GpuMat src(src_host);
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cv::gpu::GpuMat xmap(xmap_host);
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cv::gpu::GpuMat ymap(ymap_host);
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cv::gpu::GpuMat dst;
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cv::gpu::remap(src, dst, xmap, ymap, interpolation, borderMode);
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declare.time(3.0);
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TEST_CYCLE()
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{
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cv::gpu::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::gpu::DeviceInfo devInfo = GET_PARAM(0);
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cv::gpu::setDevice(devInfo.deviceID());
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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_host(size, type);
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fill(src_host, 0, 255);
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cv::gpu::GpuMat src(src_host);
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cv::gpu::GpuMat dst;
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cv::gpu::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::gpu::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::gpu::DeviceInfo devInfo = GET_PARAM(0);
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cv::gpu::setDevice(devInfo.deviceID());
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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::gpu::GpuMat src(src_host);
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cv::gpu::GpuMat dst;
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cv::gpu::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::gpu::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::gpu::DeviceInfo devInfo = GET_PARAM(0);
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cv::gpu::setDevice(devInfo.deviceID());
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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_host(size, type);
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fill(src_host, 0, 255);
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cv::gpu::GpuMat src(src_host);
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cv::gpu::GpuMat 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::gpu::warpAffine(src, dst, M, size, interpolation, borderMode);
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TEST_CYCLE()
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{
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cv::gpu::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::gpu::DeviceInfo devInfo = GET_PARAM(0);
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cv::gpu::setDevice(devInfo.deviceID());
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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_host(size, type);
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fill(src_host, 0, 255);
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cv::gpu::GpuMat src(src_host);
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cv::gpu::GpuMat 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::gpu::warpPerspective(src, dst, M, size, interpolation, borderMode);
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TEST_CYCLE()
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{
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cv::gpu::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::gpu::DeviceInfo devInfo = GET_PARAM(0);
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cv::gpu::setDevice(devInfo.deviceID());
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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_host(size, type);
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fill(src_host, 0, 255);
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cv::gpu::GpuMat src(src_host);
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cv::gpu::GpuMat dst;
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cv::gpu::copyMakeBorder(src, dst, 5, 5, 5, 5, borderType);
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TEST_CYCLE()
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{
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cv::gpu::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::gpu::DeviceInfo devInfo = GET_PARAM(0);
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cv::gpu::setDevice(devInfo.deviceID());
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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_host(size, depth);
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fill(src_host, 0, 255);
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cv::gpu::GpuMat src(src_host);
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cv::gpu::GpuMat dst;
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cv::gpu::threshold(src, dst, 100.0, 255.0, threshOp);
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TEST_CYCLE()
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{
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cv::gpu::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::gpu::DeviceInfo devInfo = GET_PARAM(0);
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cv::gpu::setDevice(devInfo.deviceID());
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cv::Size size = GET_PARAM(1);
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cv::Mat src_host(size, CV_8UC1);
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fill(src_host, 0, 255);
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cv::gpu::GpuMat src(src_host);
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cv::gpu::GpuMat dst;
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cv::gpu::GpuMat buf;
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cv::gpu::integralBuffered(src, dst, buf);
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TEST_CYCLE()
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{
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cv::gpu::integralBuffered(src, dst, buf);
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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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// Integral_Sqr
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GPU_PERF_TEST(Integral_Sqr, cv::gpu::DeviceInfo, cv::Size)
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{
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cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
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cv::gpu::setDevice(devInfo.deviceID());
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cv::Size size = GET_PARAM(1);
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cv::Mat src_host(size, CV_8UC1);
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fill(src_host, 0, 255);
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cv::gpu::GpuMat src(src_host);
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cv::gpu::GpuMat dst;
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cv::gpu::sqrIntegral(src, dst);
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TEST_CYCLE()
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{
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cv::gpu::sqrIntegral(src, dst);
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}
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}
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INSTANTIATE_TEST_CASE_P(ImgProc, Integral_Sqr, 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::gpu::DeviceInfo devInfo = GET_PARAM(0);
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cv::gpu::setDevice(devInfo.deviceID());
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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_host(size, depth);
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fill(src_host, 0, 255);
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cv::gpu::GpuMat src(src_host);
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cv::gpu::GpuMat hist;
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cv::gpu::GpuMat buf;
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cv::gpu::histEven(src, hist, buf, 30, 0, 180);
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TEST_CYCLE()
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{
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cv::gpu::histEven(src, hist, buf, 30, 0, 180);
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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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// HistEven_FourChannel
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GPU_PERF_TEST(HistEven_FourChannel, cv::gpu::DeviceInfo, cv::Size, MatDepth)
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{
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cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
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cv::gpu::setDevice(devInfo.deviceID());
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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_host(size, CV_MAKE_TYPE(depth, 4));
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fill(src_host, 0, 255);
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cv::gpu::GpuMat src(src_host);
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cv::gpu::GpuMat hist[4];
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cv::gpu::GpuMat buf;
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int histSize[] = {30, 30, 30, 30};
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int lowerLevel[] = {0, 0, 0, 0};
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int upperLevel[] = {180, 180, 180, 180};
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cv::gpu::histEven(src, hist, buf, histSize, lowerLevel, upperLevel);
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TEST_CYCLE()
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{
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cv::gpu::histEven(src, hist, buf, histSize, lowerLevel, upperLevel);
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}
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}
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INSTANTIATE_TEST_CASE_P(ImgProc, HistEven_FourChannel, 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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// CalcHist
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GPU_PERF_TEST(CalcHist, cv::gpu::DeviceInfo, cv::Size)
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{
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cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
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cv::gpu::setDevice(devInfo.deviceID());
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cv::Size size = GET_PARAM(1);
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cv::Mat src_host(size, CV_8UC1);
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fill(src_host, 0, 255);
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cv::gpu::GpuMat src(src_host);
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cv::gpu::GpuMat hist;
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cv::gpu::GpuMat buf;
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cv::gpu::calcHist(src, hist, buf);
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TEST_CYCLE()
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{
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cv::gpu::calcHist(src, hist, buf);
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}
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}
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INSTANTIATE_TEST_CASE_P(ImgProc, CalcHist, testing::Combine(
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ALL_DEVICES,
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GPU_TYPICAL_MAT_SIZES));
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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::gpu::DeviceInfo devInfo = GET_PARAM(0);
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cv::gpu::setDevice(devInfo.deviceID());
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cv::Size size = GET_PARAM(1);
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cv::Mat src_host(size, CV_8UC1);
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fill(src_host, 0, 255);
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cv::gpu::GpuMat src(src_host);
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cv::gpu::GpuMat dst;
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cv::gpu::GpuMat hist;
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cv::gpu::GpuMat buf;
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cv::gpu::equalizeHist(src, dst, hist, buf);
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TEST_CYCLE()
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{
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cv::gpu::equalizeHist(src, dst, hist, buf);
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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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// ColumnSum
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GPU_PERF_TEST(ColumnSum, cv::gpu::DeviceInfo, cv::Size)
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{
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cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
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cv::gpu::setDevice(devInfo.deviceID());
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cv::Size size = GET_PARAM(1);
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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;
|
|
|
|
if (info.code >= cv::COLOR_BayerBG2BGR && info.code <= cv::COLOR_BayerGR2BGR)
|
|
info.dcn = 4;
|
|
|
|
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),
|
|
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))));
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// 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))));
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// HoughLines
|
|
|
|
IMPLEMENT_PARAM_CLASS(DoSort, bool)
|
|
|
|
GPU_PERF_TEST(HoughLines, cv::gpu::DeviceInfo, cv::Size, DoSort)
|
|
{
|
|
declare.time(30.0);
|
|
|
|
const cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
const cv::Size size = GET_PARAM(1);
|
|
const bool doSort = GET_PARAM(2);
|
|
|
|
const float rho = 1.0f;
|
|
const float theta = CV_PI / 180.0f;
|
|
const int threshold = 300;
|
|
|
|
cv::RNG rng(123456789);
|
|
|
|
cv::Mat src(size, CV_8UC1, cv::Scalar::all(0));
|
|
|
|
const int numLines = rng.uniform(500, 2000);
|
|
for (int i = 0; i < numLines; ++i)
|
|
{
|
|
cv::Point p1(rng.uniform(0, src.cols), rng.uniform(0, src.rows));
|
|
cv::Point p2(rng.uniform(0, src.cols), rng.uniform(0, src.rows));
|
|
cv::line(src, p1, p2, cv::Scalar::all(255), 2);
|
|
}
|
|
|
|
cv::gpu::GpuMat d_src(src);
|
|
cv::gpu::GpuMat d_lines;
|
|
cv::gpu::GpuMat d_accum;
|
|
cv::gpu::GpuMat d_buf;
|
|
cv::gpu::HoughLines(d_src, d_lines, d_accum, d_buf, rho, theta, threshold, doSort);
|
|
|
|
TEST_CYCLE()
|
|
{
|
|
cv::gpu::HoughLines(d_src, d_lines, d_accum, d_buf, rho, theta, threshold, doSort);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(ImgProc, HoughLines, testing::Combine(
|
|
ALL_DEVICES,
|
|
GPU_TYPICAL_MAT_SIZES,
|
|
testing::Values(DoSort(false), DoSort(true))));
|
|
|
|
#endif
|