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Open Source Computer Vision Library
https://opencv.org/
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991 lines
28 KiB
991 lines
28 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, perf::MatType, Interpolation, BorderMode) |
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{ |
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cv::gpu::DeviceInfo devInfo = GET_PARAM(0); |
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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::gpu::setDevice(devInfo.deviceID()); |
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cv::Mat src_host(size, type); |
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cv::Mat xmap_host(size, CV_32FC1); |
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cv::Mat ymap_host(size, CV_32FC1); |
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declare.in(src_host, xmap_host, ymap_host, WARMUP_RNG); |
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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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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(CV_8UC1, CV_8UC4, CV_16UC1, CV_32FC1), |
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testing::Values((int) cv::INTER_NEAREST, (int) cv::INTER_LINEAR, (int) cv::INTER_CUBIC), |
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testing::Values((int) cv::BORDER_REFLECT101, (int) cv::BORDER_REPLICATE, (int) cv::BORDER_CONSTANT))); |
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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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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; |
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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 dstr; |
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cv::gpu::GpuMat dstsp; |
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declare.time(5.0); |
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TEST_CYCLE() |
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{ |
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cv::gpu::meanShiftProc(src, dstr, dstsp, 50, 50); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, MeanShiftProc, ALL_DEVICES); |
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////////////////////////////////////////////////////////////////////// |
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// MeanShiftSegmentation |
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GPU_PERF_TEST_1(MeanShiftSegmentation, 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::Mat dst; |
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declare.time(5.0); |
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TEST_CYCLE() |
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{ |
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meanShiftSegmentation(src, dst, 10, 10, 20); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, MeanShiftSegmentation, ALL_DEVICES); |
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////////////////////////////////////////////////////////////////////// |
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// DrawColorDisp |
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GPU_PERF_TEST(DrawColorDisp, cv::gpu::DeviceInfo, cv::Size, perf::MatType) |
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{ |
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cv::gpu::DeviceInfo devInfo = GET_PARAM(0); |
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cv::Size size = GET_PARAM(1); |
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int type = GET_PARAM(2); |
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cv::gpu::setDevice(devInfo.deviceID()); |
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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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TEST_CYCLE() |
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{ |
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cv::gpu::drawColorDisp(src, dst, 255); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, DrawColorDisp, testing::Combine( |
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ALL_DEVICES, |
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GPU_TYPICAL_MAT_SIZES, |
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testing::Values(CV_8UC1, CV_16SC1))); |
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////////////////////////////////////////////////////////////////////// |
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// ReprojectImageTo3D |
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GPU_PERF_TEST(ReprojectImageTo3D, cv::gpu::DeviceInfo, cv::Size, perf::MatType) |
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{ |
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cv::gpu::DeviceInfo devInfo = GET_PARAM(0); |
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cv::Size size = GET_PARAM(1); |
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int type = GET_PARAM(2); |
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cv::gpu::setDevice(devInfo.deviceID()); |
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cv::Mat src_host(size, type); |
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declare.in(src_host, WARMUP_RNG); |
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cv::gpu::GpuMat src(src_host); |
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cv::gpu::GpuMat dst; |
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TEST_CYCLE() |
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{ |
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cv::gpu::reprojectImageTo3D(src, dst, cv::Mat::ones(4, 4, CV_32FC1)); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, ReprojectImageTo3D, testing::Combine( |
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ALL_DEVICES, |
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GPU_TYPICAL_MAT_SIZES, |
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testing::Values(CV_8UC1, CV_16SC1))); |
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////////////////////////////////////////////////////////////////////// |
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// CvtColor |
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GPU_PERF_TEST(CvtColor, cv::gpu::DeviceInfo, cv::Size, perf::MatType, CvtColorInfo) |
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{ |
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cv::gpu::DeviceInfo devInfo = GET_PARAM(0); |
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cv::Size size = GET_PARAM(1); |
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int type = GET_PARAM(2); |
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CvtColorInfo info = GET_PARAM(3); |
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cv::gpu::setDevice(devInfo.deviceID()); |
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cv::Mat src_host(size, CV_MAKETYPE(type, info.scn)); |
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declare.in(src_host, WARMUP_RNG); |
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cv::gpu::GpuMat src(src_host); |
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cv::gpu::GpuMat dst(size, CV_MAKETYPE(type, info.dcn)); |
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TEST_CYCLE() |
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{ |
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cv::gpu::cvtColor(src, dst, info.code, info.dcn); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, CvtColor, testing::Combine( |
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ALL_DEVICES, |
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GPU_TYPICAL_MAT_SIZES, |
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testing::Values(CV_8UC1, CV_16UC1, CV_32FC1), |
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testing::Values( |
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CvtColorInfo(4, 4, cv::COLOR_RGBA2BGRA), CvtColorInfo(4, 1, cv::COLOR_BGRA2GRAY), CvtColorInfo(1, 4, cv::COLOR_GRAY2BGRA), |
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CvtColorInfo(4, 4, cv::COLOR_BGR2XYZ), CvtColorInfo(4, 4, cv::COLOR_BGR2YCrCb), CvtColorInfo(4, 4, cv::COLOR_YCrCb2BGR), |
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CvtColorInfo(4, 4, cv::COLOR_BGR2HSV), CvtColorInfo(4, 4, cv::COLOR_HSV2BGR)))); |
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////////////////////////////////////////////////////////////////////// |
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// Threshold |
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GPU_PERF_TEST(Threshold, cv::gpu::DeviceInfo, cv::Size, perf::MatType) |
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{ |
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cv::gpu::DeviceInfo devInfo = GET_PARAM(0); |
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cv::Size size = GET_PARAM(1); |
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int type = GET_PARAM(2); |
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cv::gpu::setDevice(devInfo.deviceID()); |
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cv::Mat src_host(size, type); |
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declare.in(src_host, WARMUP_RNG); |
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cv::gpu::GpuMat src(src_host); |
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cv::gpu::GpuMat dst(size, type); |
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TEST_CYCLE() |
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{ |
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cv::gpu::threshold(src, dst, 100.0, 255.0, cv::THRESH_BINARY); |
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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(CV_8UC1, CV_16UC1, CV_32FC1))); |
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////////////////////////////////////////////////////////////////////// |
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// Resize |
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GPU_PERF_TEST(Resize, cv::gpu::DeviceInfo, cv::Size, perf::MatType, Interpolation, double) |
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{ |
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cv::gpu::DeviceInfo devInfo = GET_PARAM(0); |
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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::gpu::setDevice(devInfo.deviceID()); |
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cv::Mat src_host(size, type); |
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declare.in(src_host, WARMUP_RNG); |
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cv::gpu::GpuMat src(src_host); |
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cv::gpu::GpuMat dst; |
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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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testing::Values(perf::szSXGA, perf::sz1080p), |
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testing::Values(CV_8UC1, CV_8UC4, CV_16UC1, CV_32FC1), |
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testing::Values((int) cv::INTER_NEAREST, (int) cv::INTER_LINEAR, (int) cv::INTER_CUBIC), |
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testing::Values(0.5, 2.0))); |
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////////////////////////////////////////////////////////////////////// |
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// WarpAffine |
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GPU_PERF_TEST(WarpAffine, cv::gpu::DeviceInfo, cv::Size, perf::MatType, Interpolation) |
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{ |
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cv::gpu::DeviceInfo devInfo = GET_PARAM(0); |
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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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cv::gpu::setDevice(devInfo.deviceID()); |
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cv::Mat src_host(size, type); |
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declare.in(src_host, WARMUP_RNG); |
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cv::gpu::GpuMat src(src_host); |
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cv::gpu::GpuMat dst; |
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double reflect[2][3] = { {-1, 0, 0}, |
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{ 0, -1, 0}}; |
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reflect[0][2] = size.width; |
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reflect[1][2] = size.height; |
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cv::Mat M(2, 3, CV_64F, (void*) reflect); |
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TEST_CYCLE() |
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{ |
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cv::gpu::warpAffine(src, dst, M, size, interpolation); |
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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(CV_8UC1, CV_8UC4, CV_32FC1), |
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testing::Values((int) cv::INTER_NEAREST, (int) cv::INTER_LINEAR, (int) cv::INTER_CUBIC))); |
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////////////////////////////////////////////////////////////////////// |
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// WarpPerspective |
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GPU_PERF_TEST(WarpPerspective, cv::gpu::DeviceInfo, cv::Size, perf::MatType, Interpolation) |
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{ |
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cv::gpu::DeviceInfo devInfo = GET_PARAM(0); |
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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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cv::gpu::setDevice(devInfo.deviceID()); |
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cv::Mat src_host(size, type); |
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declare.in(src_host, WARMUP_RNG); |
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cv::gpu::GpuMat src(src_host); |
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cv::gpu::GpuMat dst; |
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double reflect[3][3] = { {-1, 0, 0}, |
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{ 0, -1, 0}, |
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{ 0, 0, 1}}; |
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reflect[0][2] = size.width; |
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reflect[1][2] = size.height; |
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cv::Mat M(3, 3, CV_64F, (void*)reflect); |
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TEST_CYCLE() |
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{ |
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cv::gpu::warpPerspective(src, dst, M, size, interpolation); |
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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(CV_8UC1, CV_8UC4, CV_32FC1), |
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testing::Values((int) cv::INTER_NEAREST, (int) cv::INTER_LINEAR, (int) cv::INTER_CUBIC))); |
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////////////////////////////////////////////////////////////////////// |
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// BuildWarpPlaneMaps |
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GPU_PERF_TEST(BuildWarpPlaneMaps, 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::Size size = GET_PARAM(1); |
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cv::gpu::setDevice(devInfo.deviceID()); |
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cv::gpu::GpuMat map_x; |
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cv::gpu::GpuMat map_y; |
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TEST_CYCLE() |
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{ |
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cv::gpu::buildWarpPlaneMaps(size, cv::Rect(0, 0, size.width, size.height), cv::Mat::eye(3, 3, CV_32FC1), |
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cv::Mat::ones(3, 3, CV_32FC1), cv::Mat::zeros(1, 3, CV_32F), 1.0, map_x, map_y); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, BuildWarpPlaneMaps, testing::Combine( |
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ALL_DEVICES, |
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GPU_TYPICAL_MAT_SIZES)); |
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////////////////////////////////////////////////////////////////////// |
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// BuildWarpCylindricalMaps |
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GPU_PERF_TEST(BuildWarpCylindricalMaps, 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::Size size = GET_PARAM(1); |
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cv::gpu::setDevice(devInfo.deviceID()); |
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cv::gpu::GpuMat map_x; |
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cv::gpu::GpuMat map_y; |
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TEST_CYCLE() |
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{ |
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cv::gpu::buildWarpCylindricalMaps(size, cv::Rect(0, 0, size.width, size.height), cv::Mat::eye(3, 3, CV_32FC1), |
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cv::Mat::ones(3, 3, CV_32FC1), 1.0, map_x, map_y); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, BuildWarpCylindricalMaps, testing::Combine( |
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ALL_DEVICES, |
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GPU_TYPICAL_MAT_SIZES)); |
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////////////////////////////////////////////////////////////////////// |
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// BuildWarpSphericalMaps |
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GPU_PERF_TEST(BuildWarpSphericalMaps, 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::Size size = GET_PARAM(1); |
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cv::gpu::setDevice(devInfo.deviceID()); |
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cv::gpu::GpuMat map_x; |
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cv::gpu::GpuMat map_y; |
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TEST_CYCLE() |
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{ |
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cv::gpu::buildWarpSphericalMaps(size, cv::Rect(0, 0, size.width, size.height), cv::Mat::eye(3, 3, CV_32FC1), |
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cv::Mat::ones(3, 3, CV_32FC1), 1.0, map_x, map_y); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, BuildWarpSphericalMaps, testing::Combine( |
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ALL_DEVICES, |
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GPU_TYPICAL_MAT_SIZES)); |
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////////////////////////////////////////////////////////////////////// |
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// Rotate |
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GPU_PERF_TEST(Rotate, cv::gpu::DeviceInfo, cv::Size, perf::MatType, Interpolation) |
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{ |
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cv::gpu::DeviceInfo devInfo = GET_PARAM(0); |
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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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cv::gpu::setDevice(devInfo.deviceID()); |
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cv::Mat src_host(size, type); |
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declare.in(src_host, WARMUP_RNG); |
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cv::gpu::GpuMat src(src_host); |
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cv::gpu::GpuMat dst; |
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TEST_CYCLE() |
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{ |
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cv::gpu::rotate(src, dst, size, 30.0, 0, 0, interpolation); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, Rotate, testing::Combine( |
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ALL_DEVICES, |
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GPU_TYPICAL_MAT_SIZES, |
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testing::Values(CV_8UC1, CV_8UC4), |
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testing::Values((int) cv::INTER_NEAREST, (int) cv::INTER_LINEAR, (int) cv::INTER_CUBIC))); |
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////////////////////////////////////////////////////////////////////// |
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// CopyMakeBorder |
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GPU_PERF_TEST(CopyMakeBorder, cv::gpu::DeviceInfo, cv::Size, perf::MatType, BorderMode) |
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{ |
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cv::gpu::DeviceInfo devInfo = GET_PARAM(0); |
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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::gpu::setDevice(devInfo.deviceID()); |
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cv::Mat src_host(size, type); |
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declare.in(src_host, WARMUP_RNG); |
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cv::gpu::GpuMat src(src_host); |
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cv::gpu::GpuMat dst; |
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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(CV_8UC1, CV_8UC4, CV_32FC1), |
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testing::Values((int) cv::BORDER_REPLICATE, (int) cv::BORDER_REFLECT, (int) cv::BORDER_WRAP, (int) cv::BORDER_CONSTANT))); |
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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::Size size = GET_PARAM(1); |
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cv::gpu::setDevice(devInfo.deviceID()); |
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cv::Mat src_host(size, CV_8UC1); |
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declare.in(src_host, WARMUP_RNG); |
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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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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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// IntegralBoth |
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GPU_PERF_TEST(IntegralBoth, 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::Size size = GET_PARAM(1); |
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cv::gpu::setDevice(devInfo.deviceID()); |
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cv::Mat src_host(size, CV_8UC1); |
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declare.in(src_host, WARMUP_RNG); |
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cv::gpu::GpuMat src(src_host); |
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cv::gpu::GpuMat sum, sqsum; |
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TEST_CYCLE() |
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{ |
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cv::gpu::integral(src, sum, sqsum); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(ImgProc, IntegralBoth, testing::Combine( |
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ALL_DEVICES, |
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GPU_TYPICAL_MAT_SIZES)); |
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////////////////////////////////////////////////////////////////////// |
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// IntegralSqr |
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GPU_PERF_TEST(IntegralSqr, 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::Size size = GET_PARAM(1); |
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|
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cv::gpu::setDevice(devInfo.deviceID()); |
|
|
|
cv::Mat src_host(size, CV_8UC1); |
|
|
|
declare.in(src_host, WARMUP_RNG); |
|
|
|
cv::gpu::GpuMat src(src_host); |
|
cv::gpu::GpuMat dst; |
|
|
|
TEST_CYCLE() |
|
{ |
|
cv::gpu::sqrIntegral(src, dst); |
|
} |
|
} |
|
|
|
INSTANTIATE_TEST_CASE_P(ImgProc, IntegralSqr, testing::Combine( |
|
ALL_DEVICES, |
|
GPU_TYPICAL_MAT_SIZES)); |
|
|
|
////////////////////////////////////////////////////////////////////// |
|
// ColumnSum |
|
|
|
GPU_PERF_TEST(ColumnSum, cv::gpu::DeviceInfo, cv::Size) |
|
{ |
|
cv::gpu::DeviceInfo devInfo = GET_PARAM(0); |
|
cv::Size size = GET_PARAM(1); |
|
|
|
cv::gpu::setDevice(devInfo.deviceID()); |
|
|
|
cv::Mat src_host(size, CV_32FC1); |
|
|
|
declare.in(src_host, WARMUP_RNG); |
|
|
|
cv::gpu::GpuMat src(src_host); |
|
cv::gpu::GpuMat dst; |
|
|
|
TEST_CYCLE() |
|
{ |
|
cv::gpu::columnSum(src, dst); |
|
} |
|
} |
|
|
|
INSTANTIATE_TEST_CASE_P(ImgProc, ColumnSum, testing::Combine( |
|
ALL_DEVICES, |
|
GPU_TYPICAL_MAT_SIZES)); |
|
|
|
////////////////////////////////////////////////////////////////////// |
|
// CornerHarris |
|
|
|
GPU_PERF_TEST(CornerHarris, cv::gpu::DeviceInfo, perf::MatType) |
|
{ |
|
cv::gpu::DeviceInfo devInfo = GET_PARAM(0); |
|
int type = GET_PARAM(1); |
|
|
|
cv::gpu::setDevice(devInfo.deviceID()); |
|
|
|
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; |
|
|
|
int blockSize = 3; |
|
int ksize = 7; |
|
double k = 0.5; |
|
|
|
TEST_CYCLE() |
|
{ |
|
cv::gpu::cornerHarris(src, dst, Dx, Dy, blockSize, ksize, k); |
|
} |
|
} |
|
|
|
INSTANTIATE_TEST_CASE_P(ImgProc, CornerHarris, testing::Combine( |
|
ALL_DEVICES, |
|
testing::Values(CV_8UC1, CV_32FC1))); |
|
|
|
////////////////////////////////////////////////////////////////////// |
|
// CornerMinEigenVal |
|
|
|
GPU_PERF_TEST(CornerMinEigenVal, cv::gpu::DeviceInfo, perf::MatType) |
|
{ |
|
cv::gpu::DeviceInfo devInfo = GET_PARAM(0); |
|
int type = GET_PARAM(1); |
|
|
|
cv::gpu::setDevice(devInfo.deviceID()); |
|
|
|
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; |
|
|
|
int blockSize = 3; |
|
int ksize = 7; |
|
|
|
TEST_CYCLE() |
|
{ |
|
cv::gpu::cornerMinEigenVal(src, dst, Dx, Dy, blockSize, ksize); |
|
} |
|
} |
|
|
|
INSTANTIATE_TEST_CASE_P(ImgProc, CornerMinEigenVal, testing::Combine( |
|
ALL_DEVICES, |
|
testing::Values(CV_8UC1, CV_32FC1))); |
|
|
|
////////////////////////////////////////////////////////////////////// |
|
// MulSpectrums |
|
|
|
GPU_PERF_TEST(MulSpectrums, cv::gpu::DeviceInfo, cv::Size) |
|
{ |
|
cv::gpu::DeviceInfo devInfo = GET_PARAM(0); |
|
cv::Size size = GET_PARAM(1); |
|
|
|
cv::gpu::setDevice(devInfo.deviceID()); |
|
|
|
cv::Mat a_host(size, CV_32FC2); |
|
cv::Mat b_host(size, CV_32FC2); |
|
|
|
declare.in(a_host, b_host, WARMUP_RNG); |
|
|
|
cv::gpu::GpuMat a(a_host); |
|
cv::gpu::GpuMat b(b_host); |
|
cv::gpu::GpuMat dst; |
|
|
|
TEST_CYCLE() |
|
{ |
|
cv::gpu::mulSpectrums(a, b, dst, 0); |
|
} |
|
} |
|
|
|
INSTANTIATE_TEST_CASE_P(ImgProc, MulSpectrums, testing::Combine( |
|
ALL_DEVICES, |
|
GPU_TYPICAL_MAT_SIZES)); |
|
|
|
////////////////////////////////////////////////////////////////////// |
|
// Dft |
|
|
|
GPU_PERF_TEST(Dft, cv::gpu::DeviceInfo, cv::Size) |
|
{ |
|
cv::gpu::DeviceInfo devInfo = GET_PARAM(0); |
|
cv::Size size = GET_PARAM(1); |
|
|
|
cv::gpu::setDevice(devInfo.deviceID()); |
|
|
|
cv::Mat src_host(size, CV_32FC2); |
|
|
|
declare.in(src_host, WARMUP_RNG); |
|
|
|
cv::gpu::GpuMat src(src_host); |
|
cv::gpu::GpuMat dst; |
|
|
|
declare.time(2.0); |
|
|
|
TEST_CYCLE() |
|
{ |
|
cv::gpu::dft(src, dst, size); |
|
} |
|
} |
|
|
|
INSTANTIATE_TEST_CASE_P(ImgProc, Dft, testing::Combine( |
|
ALL_DEVICES, |
|
GPU_TYPICAL_MAT_SIZES)); |
|
|
|
////////////////////////////////////////////////////////////////////// |
|
// Convolve |
|
|
|
GPU_PERF_TEST(Convolve, cv::gpu::DeviceInfo, cv::Size, int) |
|
{ |
|
cv::gpu::DeviceInfo devInfo = GET_PARAM(0); |
|
cv::Size size = GET_PARAM(1); |
|
int templ_size = GET_PARAM(2); |
|
|
|
cv::gpu::setDevice(devInfo.deviceID()); |
|
|
|
cv::gpu::GpuMat image = cv::gpu::createContinuous(size, CV_32FC1); |
|
cv::gpu::GpuMat templ = cv::gpu::createContinuous(templ_size, templ_size, CV_32FC1); |
|
|
|
image.setTo(cv::Scalar(1.0)); |
|
templ.setTo(cv::Scalar(1.0)); |
|
|
|
cv::gpu::GpuMat dst; |
|
cv::gpu::ConvolveBuf buf; |
|
|
|
declare.time(2.0); |
|
|
|
TEST_CYCLE() |
|
{ |
|
cv::gpu::convolve(image, templ, dst, false, buf); |
|
} |
|
} |
|
|
|
INSTANTIATE_TEST_CASE_P(ImgProc, Convolve, testing::Combine( |
|
ALL_DEVICES, |
|
GPU_TYPICAL_MAT_SIZES, |
|
testing::Values(3, 9, 27, 32, 64))); |
|
|
|
////////////////////////////////////////////////////////////////////// |
|
// PyrDown |
|
|
|
GPU_PERF_TEST(PyrDown, cv::gpu::DeviceInfo, cv::Size, perf::MatType) |
|
{ |
|
cv::gpu::DeviceInfo devInfo = GET_PARAM(0); |
|
cv::Size size = GET_PARAM(1); |
|
int type = GET_PARAM(2); |
|
|
|
cv::gpu::setDevice(devInfo.deviceID()); |
|
|
|
cv::Mat src_host(size, type); |
|
|
|
declare.in(src_host, WARMUP_RNG); |
|
|
|
cv::gpu::GpuMat src(src_host); |
|
cv::gpu::GpuMat dst; |
|
|
|
TEST_CYCLE() |
|
{ |
|
cv::gpu::pyrDown(src, dst); |
|
} |
|
} |
|
|
|
INSTANTIATE_TEST_CASE_P(ImgProc, PyrDown, testing::Combine( |
|
ALL_DEVICES, |
|
GPU_TYPICAL_MAT_SIZES, |
|
testing::Values(CV_8UC1, CV_8UC4, CV_16SC3, CV_32FC1))); |
|
|
|
////////////////////////////////////////////////////////////////////// |
|
// PyrUp |
|
|
|
GPU_PERF_TEST(PyrUp, cv::gpu::DeviceInfo, cv::Size, perf::MatType) |
|
{ |
|
cv::gpu::DeviceInfo devInfo = GET_PARAM(0); |
|
cv::Size size = GET_PARAM(1); |
|
int type = GET_PARAM(2); |
|
|
|
cv::gpu::setDevice(devInfo.deviceID()); |
|
|
|
cv::Mat src_host(size, type); |
|
|
|
declare.in(src_host, WARMUP_RNG); |
|
|
|
cv::gpu::GpuMat src(src_host); |
|
cv::gpu::GpuMat dst; |
|
|
|
TEST_CYCLE() |
|
{ |
|
cv::gpu::pyrUp(src, dst); |
|
} |
|
} |
|
|
|
INSTANTIATE_TEST_CASE_P(ImgProc, PyrUp, testing::Combine( |
|
ALL_DEVICES, |
|
GPU_TYPICAL_MAT_SIZES, |
|
testing::Values(CV_8UC1, CV_8UC4, CV_16SC3, CV_32FC1))); |
|
|
|
////////////////////////////////////////////////////////////////////// |
|
// BlendLinear |
|
|
|
GPU_PERF_TEST(BlendLinear, cv::gpu::DeviceInfo, cv::Size, perf::MatType) |
|
{ |
|
cv::gpu::DeviceInfo devInfo = GET_PARAM(0); |
|
cv::Size size = GET_PARAM(1); |
|
int type = GET_PARAM(2); |
|
|
|
cv::gpu::setDevice(devInfo.deviceID()); |
|
|
|
cv::Mat img1_host(size, type); |
|
cv::Mat img2_host(size, type); |
|
|
|
declare.in(img1_host, img2_host, WARMUP_RNG); |
|
|
|
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; |
|
|
|
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(CV_8UC1, CV_32FC1))); |
|
|
|
////////////////////////////////////////////////////////////////////// |
|
// Canny |
|
|
|
GPU_PERF_TEST_1(Canny, cv::gpu::DeviceInfo) |
|
{ |
|
cv::gpu::DeviceInfo devInfo = GetParam(); |
|
|
|
cv::gpu::setDevice(devInfo.deviceID()); |
|
|
|
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; |
|
|
|
TEST_CYCLE() |
|
{ |
|
cv::gpu::Canny(image, buf, dst, 50.0, 100.0); |
|
} |
|
} |
|
|
|
INSTANTIATE_TEST_CASE_P(ImgProc, Canny, ALL_DEVICES); |
|
|
|
////////////////////////////////////////////////////////////////////// |
|
// CalcHist |
|
|
|
GPU_PERF_TEST(CalcHist, cv::gpu::DeviceInfo, cv::Size) |
|
{ |
|
cv::gpu::DeviceInfo devInfo = GET_PARAM(0); |
|
cv::Size size = GET_PARAM(1); |
|
|
|
cv::gpu::setDevice(devInfo.deviceID()); |
|
|
|
cv::Mat src_host(size, CV_8UC1); |
|
|
|
declare.in(src_host, WARMUP_RNG); |
|
|
|
cv::gpu::GpuMat src(src_host); |
|
cv::gpu::GpuMat hist; |
|
cv::gpu::GpuMat buf; |
|
|
|
TEST_CYCLE() |
|
{ |
|
cv::gpu::calcHist(src, hist, buf); |
|
} |
|
} |
|
|
|
INSTANTIATE_TEST_CASE_P(ImgProc, CalcHist, testing::Combine( |
|
ALL_DEVICES, |
|
GPU_TYPICAL_MAT_SIZES)); |
|
|
|
////////////////////////////////////////////////////////////////////// |
|
// EqualizeHist |
|
|
|
GPU_PERF_TEST(EqualizeHist, cv::gpu::DeviceInfo, cv::Size) |
|
{ |
|
cv::gpu::DeviceInfo devInfo = GET_PARAM(0); |
|
cv::Size size = GET_PARAM(1); |
|
|
|
cv::gpu::setDevice(devInfo.deviceID()); |
|
|
|
cv::Mat src_host(size, CV_8UC1); |
|
|
|
declare.in(src_host, WARMUP_RNG); |
|
|
|
cv::gpu::GpuMat src(src_host); |
|
cv::gpu::GpuMat dst; |
|
cv::gpu::GpuMat hist; |
|
cv::gpu::GpuMat buf; |
|
|
|
TEST_CYCLE() |
|
{ |
|
cv::gpu::equalizeHist(src, dst, hist, buf); |
|
} |
|
} |
|
|
|
INSTANTIATE_TEST_CASE_P(ImgProc, EqualizeHist, testing::Combine( |
|
ALL_DEVICES, |
|
GPU_TYPICAL_MAT_SIZES)); |
|
|
|
////////////////////////////////////////////////////////////////////// |
|
// ImagePyramid |
|
|
|
GPU_PERF_TEST(ImagePyramid_build, cv::gpu::DeviceInfo, cv::Size, perf::MatType) |
|
{ |
|
cv::gpu::DeviceInfo devInfo = GET_PARAM(0); |
|
cv::Size size = GET_PARAM(1); |
|
int type = GET_PARAM(2); |
|
|
|
cv::gpu::setDevice(devInfo.deviceID()); |
|
|
|
cv::Mat src_host(size, type); |
|
|
|
declare.in(src_host, WARMUP_RNG); |
|
|
|
cv::gpu::GpuMat src(src_host); |
|
|
|
cv::gpu::ImagePyramid pyr; |
|
|
|
TEST_CYCLE() |
|
{ |
|
pyr.build(src, 5); |
|
} |
|
} |
|
|
|
INSTANTIATE_TEST_CASE_P(ImgProc, ImagePyramid_build, testing::Combine( |
|
ALL_DEVICES, |
|
GPU_TYPICAL_MAT_SIZES, |
|
testing::Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_16UC1, CV_16UC3, CV_16UC4, CV_32FC1, CV_32FC3, CV_32FC4))); |
|
|
|
GPU_PERF_TEST(ImagePyramid_getLayer, cv::gpu::DeviceInfo, cv::Size, perf::MatType) |
|
{ |
|
cv::gpu::DeviceInfo devInfo = GET_PARAM(0); |
|
cv::Size size = GET_PARAM(1); |
|
int type = GET_PARAM(2); |
|
|
|
cv::gpu::setDevice(devInfo.deviceID()); |
|
|
|
cv::Mat src_host(size, type); |
|
|
|
declare.in(src_host, WARMUP_RNG); |
|
|
|
cv::gpu::GpuMat src(src_host); |
|
cv::gpu::GpuMat dst; |
|
|
|
cv::gpu::ImagePyramid pyr(src, 3); |
|
|
|
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(CV_8UC1, CV_8UC3, CV_8UC4, CV_16UC1, CV_16UC3, CV_16UC4, CV_32FC1, CV_32FC3, CV_32FC4))); |
|
|
|
#endif
|
|
|