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Open Source Computer Vision Library
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154 lines
3.6 KiB
154 lines
3.6 KiB
#include "perf_precomp.hpp" |
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using namespace std; |
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using namespace testing; |
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////////////////////////////////////////////////////////////////////// |
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// SetTo |
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PERF_TEST_P(Sz_Depth_Cn, MatOp_SetTo, |
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Combine(GPU_TYPICAL_MAT_SIZES, |
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Values(CV_8U, CV_16U, CV_32F, CV_64F), |
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GPU_CHANNELS_1_3_4)) |
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{ |
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const cv::Size size = GET_PARAM(0); |
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const int depth = GET_PARAM(1); |
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const int channels = GET_PARAM(2); |
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const int type = CV_MAKE_TYPE(depth, channels); |
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const cv::Scalar val(1, 2, 3, 4); |
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if (PERF_RUN_GPU()) |
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{ |
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cv::gpu::GpuMat dst(size, type); |
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TEST_CYCLE() dst.setTo(val); |
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GPU_SANITY_CHECK(dst); |
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} |
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else |
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{ |
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cv::Mat dst(size, type); |
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TEST_CYCLE() dst.setTo(val); |
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CPU_SANITY_CHECK(dst); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// SetToMasked |
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PERF_TEST_P(Sz_Depth_Cn, MatOp_SetToMasked, |
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Combine(GPU_TYPICAL_MAT_SIZES, |
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Values(CV_8U, CV_16U, CV_32F, CV_64F), |
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GPU_CHANNELS_1_3_4)) |
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{ |
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const cv::Size size = GET_PARAM(0); |
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const int depth = GET_PARAM(1); |
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const int channels = GET_PARAM(2); |
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const int type = CV_MAKE_TYPE(depth, channels); |
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cv::Mat src(size, type); |
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cv::Mat mask(size, CV_8UC1); |
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declare.in(src, mask, WARMUP_RNG); |
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const cv::Scalar val(1, 2, 3, 4); |
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if (PERF_RUN_GPU()) |
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{ |
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cv::gpu::GpuMat dst(src); |
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const cv::gpu::GpuMat d_mask(mask); |
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TEST_CYCLE() dst.setTo(val, d_mask); |
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GPU_SANITY_CHECK(dst, 1e-10); |
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} |
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else |
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{ |
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cv::Mat dst = src; |
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TEST_CYCLE() dst.setTo(val, mask); |
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CPU_SANITY_CHECK(dst); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// CopyToMasked |
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PERF_TEST_P(Sz_Depth_Cn, MatOp_CopyToMasked, |
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Combine(GPU_TYPICAL_MAT_SIZES, |
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Values(CV_8U, CV_16U, CV_32F, CV_64F), |
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GPU_CHANNELS_1_3_4)) |
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{ |
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const cv::Size size = GET_PARAM(0); |
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const int depth = GET_PARAM(1); |
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const int channels = GET_PARAM(2); |
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const int type = CV_MAKE_TYPE(depth, channels); |
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cv::Mat src(size, type); |
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cv::Mat mask(size, CV_8UC1); |
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declare.in(src, mask, WARMUP_RNG); |
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if (PERF_RUN_GPU()) |
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{ |
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const cv::gpu::GpuMat d_src(src); |
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const cv::gpu::GpuMat d_mask(mask); |
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cv::gpu::GpuMat dst(d_src.size(), d_src.type(), cv::Scalar::all(0)); |
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TEST_CYCLE() d_src.copyTo(dst, d_mask); |
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GPU_SANITY_CHECK(dst, 1e-10); |
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} |
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else |
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{ |
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cv::Mat dst(src.size(), src.type(), cv::Scalar::all(0)); |
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TEST_CYCLE() src.copyTo(dst, mask); |
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CPU_SANITY_CHECK(dst); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// ConvertTo |
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DEF_PARAM_TEST(Sz_2Depth, cv::Size, MatDepth, MatDepth); |
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PERF_TEST_P(Sz_2Depth, MatOp_ConvertTo, |
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Combine(GPU_TYPICAL_MAT_SIZES, |
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Values(CV_8U, CV_16U, CV_32F, CV_64F), |
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Values(CV_8U, CV_16U, CV_32F, CV_64F))) |
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{ |
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const cv::Size size = GET_PARAM(0); |
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const int depth1 = GET_PARAM(1); |
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const int depth2 = GET_PARAM(2); |
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cv::Mat src(size, depth1); |
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declare.in(src, WARMUP_RNG); |
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const double a = 0.5; |
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const double b = 1.0; |
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if (PERF_RUN_GPU()) |
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{ |
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const cv::gpu::GpuMat d_src(src); |
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cv::gpu::GpuMat dst; |
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TEST_CYCLE() d_src.convertTo(dst, depth2, a, b); |
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GPU_SANITY_CHECK(dst, 1e-10); |
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} |
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else |
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{ |
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cv::Mat dst; |
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TEST_CYCLE() src.convertTo(dst, depth2, a, b); |
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CPU_SANITY_CHECK(dst); |
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} |
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}
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