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Open Source Computer Vision Library
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169 lines
3.5 KiB
169 lines
3.5 KiB
#include "perf_precomp.hpp" |
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using namespace std; |
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using namespace testing; |
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namespace { |
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////////////////////////////////////////////////////////////////////// |
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// SetTo |
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PERF_TEST_P(Sz_Depth_Cn, MatOp_SetTo, Combine(GPU_TYPICAL_MAT_SIZES, Values(CV_8U, CV_16U, CV_32F, CV_64F), GPU_CHANNELS_1_3_4)) |
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{ |
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cv::Size size = GET_PARAM(0); |
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int depth = GET_PARAM(1); |
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int channels = GET_PARAM(2); |
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int type = CV_MAKE_TYPE(depth, channels); |
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cv::Scalar val(1, 2, 3, 4); |
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if (runOnGpu) |
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{ |
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cv::gpu::GpuMat d_src(size, type); |
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d_src.setTo(val); |
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TEST_CYCLE() |
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{ |
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d_src.setTo(val); |
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} |
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} |
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else |
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{ |
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cv::Mat src(size, type); |
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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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} |
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////////////////////////////////////////////////////////////////////// |
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// SetToMasked |
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PERF_TEST_P(Sz_Depth_Cn, MatOp_SetToMasked, Combine(GPU_TYPICAL_MAT_SIZES, Values(CV_8U, CV_16U, CV_32F, CV_64F), GPU_CHANNELS_1_3_4)) |
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{ |
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cv::Size size = GET_PARAM(0); |
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int depth = GET_PARAM(1); |
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int channels = GET_PARAM(2); |
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int type = CV_MAKE_TYPE(depth, channels); |
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cv::Mat src(size, type); |
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fillRandom(src); |
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cv::Mat mask(size, CV_8UC1); |
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fillRandom(mask, 0, 2); |
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cv::Scalar val(1, 2, 3, 4); |
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if (runOnGpu) |
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{ |
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cv::gpu::GpuMat d_src(src); |
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cv::gpu::GpuMat d_mask(mask); |
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d_src.setTo(val, d_mask); |
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TEST_CYCLE() |
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{ |
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d_src.setTo(val, d_mask); |
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} |
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} |
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else |
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{ |
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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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} |
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////////////////////////////////////////////////////////////////////// |
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// CopyToMasked |
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PERF_TEST_P(Sz_Depth_Cn, MatOp_CopyToMasked, Combine(GPU_TYPICAL_MAT_SIZES, Values(CV_8U, CV_16U, CV_32F, CV_64F), GPU_CHANNELS_1_3_4)) |
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{ |
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cv::Size size = GET_PARAM(0); |
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int depth = GET_PARAM(1); |
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int channels = GET_PARAM(2); |
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int type = CV_MAKE_TYPE(depth, channels); |
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cv::Mat src(size, type); |
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fillRandom(src); |
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cv::Mat mask(size, CV_8UC1); |
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fillRandom(mask, 0, 2); |
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if (runOnGpu) |
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{ |
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cv::gpu::GpuMat d_src(src); |
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cv::gpu::GpuMat d_mask(mask); |
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cv::gpu::GpuMat d_dst; |
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d_src.copyTo(d_dst, d_mask); |
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TEST_CYCLE() |
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{ |
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d_src.copyTo(d_dst, d_mask); |
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} |
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} |
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else |
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{ |
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cv::Mat 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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} |
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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, Combine(GPU_TYPICAL_MAT_SIZES, Values(CV_8U, CV_16U, CV_32F, CV_64F), Values(CV_8U, CV_16U, CV_32F, CV_64F))) |
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{ |
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cv::Size size = GET_PARAM(0); |
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int depth1 = GET_PARAM(1); |
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int depth2 = GET_PARAM(2); |
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cv::Mat src(size, depth1); |
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fillRandom(src); |
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if (runOnGpu) |
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{ |
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cv::gpu::GpuMat d_src(src); |
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cv::gpu::GpuMat d_dst; |
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d_src.convertTo(d_dst, depth2, 0.5, 1.0); |
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TEST_CYCLE() |
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{ |
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d_src.convertTo(d_dst, depth2, 0.5, 1.0); |
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} |
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} |
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else |
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{ |
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cv::Mat 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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} |
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} // namespace
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