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Open Source Computer Vision Library
https://opencv.org/
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185 lines
5.2 KiB
185 lines
5.2 KiB
#include "perf_precomp.hpp" |
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#ifdef HAVE_CUDA |
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////////////////////////////////////////////////////////////////////// |
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// Merge |
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GPU_PERF_TEST(Merge, 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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const int num_channels = 4; |
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std::vector<cv::gpu::GpuMat> src(num_channels); |
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for (int i = 0; i < num_channels; ++i) |
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src[i] = cv::gpu::GpuMat(size, type, cv::Scalar::all(i)); |
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cv::gpu::GpuMat dst; |
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TEST_CYCLE() |
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{ |
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cv::gpu::merge(src, dst); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(MatOp, Merge, 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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// Split |
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GPU_PERF_TEST(Split, 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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const int num_channels = 4; |
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cv::gpu::GpuMat src(size, CV_MAKETYPE(type, num_channels), cv::Scalar(1, 2, 3, 4)); |
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std::vector<cv::gpu::GpuMat> dst(num_channels); |
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for (int i = 0; i < num_channels; ++i) |
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dst[i] = cv::gpu::GpuMat(size, type); |
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TEST_CYCLE() |
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{ |
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cv::gpu::split(src, dst); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(MatOp, Split, 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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// SetTo |
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GPU_PERF_TEST(SetTo, 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::gpu::GpuMat src(size, type); |
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cv::Scalar val(1, 2, 3, 4); |
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TEST_CYCLE() |
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{ |
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src.setTo(val); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(MatOp, SetTo, 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_8UC3, CV_8UC4, CV_16UC1, CV_16UC3, CV_16UC4, CV_32FC1, CV_32FC3, CV_32FC4))); |
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////////////////////////////////////////////////////////////////////// |
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// SetToMasked |
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GPU_PERF_TEST(SetToMasked, 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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cv::Mat mask_host(size, CV_8UC1); |
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declare.in(src_host, WARMUP_RNG); |
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fill(mask_host, 0, 2); |
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cv::gpu::GpuMat src(src_host); |
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cv::Scalar val(1, 2, 3, 4); |
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cv::gpu::GpuMat mask(mask_host); |
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TEST_CYCLE() |
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{ |
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src.setTo(val, mask); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(MatOp, SetToMasked, 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_8UC3, CV_8UC4, CV_16UC1, CV_16UC3, CV_16UC4, CV_32FC1, CV_32FC3, CV_32FC4))); |
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////////////////////////////////////////////////////////////////////// |
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// CopyToMasked |
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GPU_PERF_TEST(CopyToMasked, 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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cv::Mat mask_host(size, CV_8UC1); |
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declare.in(src_host, WARMUP_RNG); |
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fill(mask_host, 0, 2); |
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cv::gpu::GpuMat src(src_host); |
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cv::gpu::GpuMat mask(mask_host); |
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cv::gpu::GpuMat dst; |
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TEST_CYCLE() |
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{ |
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src.copyTo(dst, mask); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(MatOp, CopyToMasked, 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_8UC3, CV_8UC4, CV_16UC1, CV_16UC3, CV_16UC4, CV_32FC1, CV_32FC3, CV_32FC4))); |
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////////////////////////////////////////////////////////////////////// |
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// ConvertTo |
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GPU_PERF_TEST(ConvertTo, cv::gpu::DeviceInfo, cv::Size, perf::MatType, 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 type1 = GET_PARAM(2); |
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int type2 = GET_PARAM(3); |
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cv::gpu::setDevice(devInfo.deviceID()); |
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cv::Mat src_host(size, type1); |
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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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src.convertTo(dst, type2, 0.5, 1.0); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(MatOp, ConvertTo, 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(CV_8UC1, CV_16UC1, CV_32FC1))); |
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#endif
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