mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
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1283 lines
39 KiB
1283 lines
39 KiB
#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), Interpolation(cv::INTER_CUBIC)), |
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testing::Values(Scale(0.5), Scale(2.0)))); |
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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); |
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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::columnSum(src, dst); |
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TEST_CYCLE() |
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{ |
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cv::gpu::columnSum(src, dst); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, ColumnSum, testing::Combine( |
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ALL_DEVICES, |
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GPU_TYPICAL_MAT_SIZES)); |
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////////////////////////////////////////////////////////////////////// |
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// Canny |
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IMPLEMENT_PARAM_CLASS(AppertureSize, int) |
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IMPLEMENT_PARAM_CLASS(L2gradient, bool) |
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GPU_PERF_TEST(Canny, cv::gpu::DeviceInfo, AppertureSize, L2gradient) |
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{ |
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cv::gpu::DeviceInfo devInfo = GET_PARAM(0); |
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cv::gpu::setDevice(devInfo.deviceID()); |
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int apperture_size = GET_PARAM(1); |
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bool useL2gradient = GET_PARAM(2); |
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cv::Mat image_host = readImage("perf/1280x1024.jpg", cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(image_host.empty()); |
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cv::gpu::GpuMat image(image_host); |
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cv::gpu::GpuMat dst; |
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cv::gpu::CannyBuf buf; |
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cv::gpu::Canny(image, buf, dst, 50.0, 100.0, apperture_size, useL2gradient); |
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TEST_CYCLE() |
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{ |
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cv::gpu::Canny(image, buf, dst, 50.0, 100.0, apperture_size, useL2gradient); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, Canny, testing::Combine( |
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ALL_DEVICES, |
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testing::Values(AppertureSize(3), AppertureSize(5)), |
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testing::Values(L2gradient(false), L2gradient(true)))); |
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////////////////////////////////////////////////////////////////////// |
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// MeanShiftFiltering |
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GPU_PERF_TEST_1(MeanShiftFiltering, cv::gpu::DeviceInfo) |
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{ |
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cv::gpu::DeviceInfo devInfo = GetParam(); |
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cv::gpu::setDevice(devInfo.deviceID()); |
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cv::Mat img = readImage("gpu/meanshift/cones.png"); |
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ASSERT_FALSE(img.empty()); |
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cv::Mat rgba; |
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cv::cvtColor(img, rgba, cv::COLOR_BGR2BGRA); |
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cv::gpu::GpuMat src(rgba); |
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cv::gpu::GpuMat dst; |
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cv::gpu::meanShiftFiltering(src, dst, 50, 50); |
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declare.time(5.0); |
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TEST_CYCLE() |
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{ |
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cv::gpu::meanShiftFiltering(src, dst, 50, 50); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, MeanShiftFiltering, ALL_DEVICES); |
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////////////////////////////////////////////////////////////////////// |
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// MeanShiftProc |
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GPU_PERF_TEST_1(MeanShiftProc, cv::gpu::DeviceInfo) |
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{ |
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cv::gpu::DeviceInfo devInfo = GetParam(); |
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cv::gpu::setDevice(devInfo.deviceID()); |
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cv::Mat img = readImage("gpu/meanshift/cones.png"); |
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ASSERT_FALSE(img.empty()); |
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|
cv::Mat 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
|
|
|