Open Source Computer Vision Library https://opencv.org/
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#include "perf_precomp.hpp"
using namespace std;
using namespace testing;
namespace {
//////////////////////////////////////////////////////////////////////
// SetTo
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))
{
cv::Size size = GET_PARAM(0);
int depth = GET_PARAM(1);
int channels = GET_PARAM(2);
int type = CV_MAKE_TYPE(depth, channels);
cv::Scalar val(1, 2, 3, 4);
if (runOnGpu)
{
cv::gpu::GpuMat d_src(size, type);
d_src.setTo(val);
TEST_CYCLE()
{
d_src.setTo(val);
}
}
else
{
cv::Mat src(size, type);
src.setTo(val);
TEST_CYCLE()
{
src.setTo(val);
}
}
}
//////////////////////////////////////////////////////////////////////
// SetToMasked
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))
{
cv::Size size = GET_PARAM(0);
int depth = GET_PARAM(1);
int channels = GET_PARAM(2);
int type = CV_MAKE_TYPE(depth, channels);
cv::Mat src(size, type);
fillRandom(src);
cv::Mat mask(size, CV_8UC1);
fillRandom(mask, 0, 2);
cv::Scalar val(1, 2, 3, 4);
if (runOnGpu)
{
cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat d_mask(mask);
d_src.setTo(val, d_mask);
TEST_CYCLE()
{
d_src.setTo(val, d_mask);
}
}
else
{
src.setTo(val, mask);
TEST_CYCLE()
{
src.setTo(val, mask);
}
}
}
//////////////////////////////////////////////////////////////////////
// CopyToMasked
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))
{
cv::Size size = GET_PARAM(0);
int depth = GET_PARAM(1);
int channels = GET_PARAM(2);
int type = CV_MAKE_TYPE(depth, channels);
cv::Mat src(size, type);
fillRandom(src);
cv::Mat mask(size, CV_8UC1);
fillRandom(mask, 0, 2);
if (runOnGpu)
{
cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat d_mask(mask);
cv::gpu::GpuMat d_dst;
d_src.copyTo(d_dst, d_mask);
TEST_CYCLE()
{
d_src.copyTo(d_dst, d_mask);
}
}
else
{
cv::Mat dst;
src.copyTo(dst, mask);
TEST_CYCLE()
{
src.copyTo(dst, mask);
}
}
}
//////////////////////////////////////////////////////////////////////
// ConvertTo
DEF_PARAM_TEST(Sz_2Depth, cv::Size, MatDepth, MatDepth);
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)))
{
cv::Size size = GET_PARAM(0);
int depth1 = GET_PARAM(1);
int depth2 = GET_PARAM(2);
cv::Mat src(size, depth1);
fillRandom(src);
if (runOnGpu)
{
cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat d_dst;
d_src.convertTo(d_dst, depth2, 0.5, 1.0);
TEST_CYCLE()
{
d_src.convertTo(d_dst, depth2, 0.5, 1.0);
}
}
else
{
cv::Mat dst;
src.convertTo(dst, depth2, 0.5, 1.0);
TEST_CYCLE()
{
src.convertTo(dst, depth2, 0.5, 1.0);
}
}
}
} // namespace