Open Source Computer Vision Library https://opencv.org/
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#include "perf_precomp.hpp"
PERF_TEST_P(DevInfo_Size_MatType, merge, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES),
testing::Values(CV_8UC1, CV_16UC1, CV_32FC1)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
int type = std::tr1::get<2>(GetParam());
setDevice(devInfo.deviceID());
const int num_channels = 4;
vector<GpuMat> src(num_channels);
for (int i = 0; i < num_channels; ++i)
src[i] = GpuMat(size, type, cv::Scalar::all(i));
GpuMat dst(size, CV_MAKETYPE(type, num_channels));
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
merge(src, dst);
}
Mat dst_host = dst;
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo_Size_MatType, split, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES),
testing::Values(CV_8UC1, CV_16UC1, CV_32FC1)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
int type = std::tr1::get<2>(GetParam());
setDevice(devInfo.deviceID());
const int num_channels = 4;
GpuMat src(size, CV_MAKETYPE(type, num_channels), cv::Scalar(1, 2, 3, 4));
vector<GpuMat> dst(num_channels);
for (int i = 0; i < num_channels; ++i)
dst[i] = GpuMat(size, type);
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
split(src, dst);
}
vector<Mat> dst_host(dst.size());
for (size_t i = 0; i < dst.size(); ++i)
dst[i].download(dst_host[i]);
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo_Size_MatType, setTo, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES),
testing::Values(CV_8UC1, CV_8UC4, CV_32FC1)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
int type = std::tr1::get<2>(GetParam());
setDevice(devInfo.deviceID());
GpuMat src(size, type);
Scalar val(1, 2, 3, 4);
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
src.setTo(val);
}
Mat src_host = src;
SANITY_CHECK(src_host);
}
PERF_TEST_P(DevInfo_Size_MatType, setToMasked, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES),
testing::Values(CV_8UC1, CV_8UC4, CV_32FC1)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
int type = std::tr1::get<2>(GetParam());
setDevice(devInfo.deviceID());
Mat src_host(size, type);
declare.in(src_host, WARMUP_RNG);
GpuMat src(src_host);
Scalar val(1, 2, 3, 4);
Mat mask_host(size, CV_8UC1);
randu(mask_host, 0.0, 2.0);
GpuMat mask(mask_host);
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
src.setTo(val, mask);
}
src_host = src;
SANITY_CHECK(src_host);
}
PERF_TEST_P(DevInfo_Size_MatType, copyToMasked, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES),
testing::Values(CV_8UC1, CV_8UC4, CV_32FC1)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
int type = std::tr1::get<2>(GetParam());
setDevice(devInfo.deviceID());
Mat src_host(size, type);
declare.in(src_host, WARMUP_RNG);
GpuMat src(src_host);
GpuMat dst(size, type);
Mat mask_host(size, CV_8UC1);
randu(mask_host, 0.0, 2.0);
GpuMat mask(mask_host);
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
src.copyTo(dst, mask);
}
Mat dst_host = dst;
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo_Size_MatType_MatType, convertTo, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES),
testing::Values(CV_8UC1, CV_16UC1, CV_32FC1),
testing::Values(CV_8UC1, CV_16UC1, CV_32FC1)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
int type1 = std::tr1::get<2>(GetParam());
int type2 = std::tr1::get<3>(GetParam());
setDevice(devInfo.deviceID());
Mat src_host(size, type1);
declare.in(src_host, WARMUP_RNG);
GpuMat src(src_host);
GpuMat dst(size, type2);
double a = 0.5;
double b = 1.0;
declare.time(0.5).iterations(100);
SIMPLE_TEST_CYCLE()
{
src.convertTo(dst, type2, a, b);
}
Mat dst_host = dst;
SANITY_CHECK(dst_host);
}