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Open Source Computer Vision Library
https://opencv.org/
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141 lines
3.9 KiB
141 lines
3.9 KiB
#include "perf_precomp.hpp" |
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#ifdef HAVE_CUDA |
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////////////////////////////////////////////////////////////////////// |
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// SetTo |
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GPU_PERF_TEST(SetTo, cv::gpu::DeviceInfo, cv::Size, MatType) |
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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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cv::gpu::GpuMat src(size, type); |
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cv::Scalar val(1, 2, 3, 4); |
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src.setTo(val); |
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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(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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MatType(CV_64FC1), MatType(CV_64FC3), MatType(CV_64FC4)))); |
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////////////////////////////////////////////////////////////////////// |
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// SetToMasked |
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GPU_PERF_TEST(SetToMasked, cv::gpu::DeviceInfo, cv::Size, MatType) |
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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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cv::Mat src_host(size, type); |
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fill(src_host, 0, 255); |
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cv::Mat mask_host(size, CV_8UC1); |
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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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src.setTo(val, mask); |
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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(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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MatType(CV_64FC1), MatType(CV_64FC3), MatType(CV_64FC4)))); |
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////////////////////////////////////////////////////////////////////// |
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// CopyToMasked |
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GPU_PERF_TEST(CopyToMasked, cv::gpu::DeviceInfo, cv::Size, MatType) |
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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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cv::Mat src_host(size, type); |
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fill(src_host, 0, 255); |
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cv::Mat mask_host(size, CV_8UC1); |
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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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src.copyTo(dst, mask); |
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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(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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MatType(CV_64FC1), MatType(CV_64FC3), MatType(CV_64FC4)))); |
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////////////////////////////////////////////////////////////////////// |
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// ConvertTo |
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GPU_PERF_TEST(ConvertTo, cv::gpu::DeviceInfo, cv::Size, MatDepth, 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 depth1 = GET_PARAM(2); |
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int depth2 = GET_PARAM(3); |
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cv::Mat src_host(size, depth1); |
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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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src.convertTo(dst, depth2, 0.5, 1.0); |
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TEST_CYCLE() |
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{ |
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src.convertTo(dst, depth2, 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(MatDepth(CV_8U), MatDepth(CV_16U), MatDepth(CV_32F), MatDepth(CV_64F)), |
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testing::Values(MatDepth(CV_8U), MatDepth(CV_16U), MatDepth(CV_32F), MatDepth(CV_64F)))); |
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#endif
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