Open Source Computer Vision Library https://opencv.org/
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#include "perf_precomp.hpp"
namespace opencv_test
{
using namespace perf;
typedef tuple<Size, MatType, MatType, int, double> Size_DepthSrc_DepthDst_Channels_alpha_t;
typedef perf::TestBaseWithParam<Size_DepthSrc_DepthDst_Channels_alpha_t> Size_DepthSrc_DepthDst_Channels_alpha;
PERF_TEST_P( Size_DepthSrc_DepthDst_Channels_alpha, convertTo,
testing::Combine
(
testing::Values(szVGA, sz1080p),
testing::Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F),
testing::Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F),
testing::Values(1, 4),
testing::Values(1.0, 1./255)
)
)
{
Size sz = get<0>(GetParam());
int depthSrc = get<1>(GetParam());
int depthDst = get<2>(GetParam());
int channels = get<3>(GetParam());
double alpha = get<4>(GetParam());
int maxValue = 255;
Mat src(sz, CV_MAKETYPE(depthSrc, channels));
randu(src, 0, maxValue);
Mat dst(sz, CV_MAKETYPE(depthDst, channels));
int runs = (sz.width <= 640) ? 8 : 1;
TEST_CYCLE_MULTIRUN(runs) src.convertTo(dst, depthDst, alpha);
double eps = depthSrc <= CV_32S ? 1e-12 : (FLT_EPSILON * maxValue);
eps = eps * std::max(1.0, fabs(alpha));
SANITY_CHECK(dst, eps);
}
} // namespace