Open Source Computer Vision Library https://opencv.org/
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#include "perf_precomp.hpp"
using namespace std;
using namespace cv;
using namespace perf;
using std::tr1::make_tuple;
using std::tr1::get;
PERF_TEST_P(Size_MatType, Mat_Eye,
testing::Combine(testing::Values(TYPICAL_MAT_SIZES),
testing::Values(TYPICAL_MAT_TYPES))
)
{
Size size = get<0>(GetParam());
int type = get<1>(GetParam());
Mat diagonalMatrix(size.height, size.width, type);
declare.out(diagonalMatrix);
int runs = (size.width <= 640) ? 15 : 5;
TEST_CYCLE_MULTIRUN(runs)
{
diagonalMatrix = Mat::eye(size, type);
}
SANITY_CHECK(diagonalMatrix, 1);
}
PERF_TEST_P(Size_MatType, Mat_Zeros,
testing::Combine(testing::Values(TYPICAL_MAT_SIZES),
testing::Values(TYPICAL_MAT_TYPES, CV_32FC3))
)
{
Size size = get<0>(GetParam());
int type = get<1>(GetParam());
Mat zeroMatrix(size.height, size.width, type);
declare.out(zeroMatrix);
int runs = (size.width <= 640) ? 15 : 5;
TEST_CYCLE_MULTIRUN(runs)
{
zeroMatrix = Mat::zeros(size, type);
}
SANITY_CHECK(zeroMatrix, 1);
}
PERF_TEST_P(Size_MatType, Mat_Clone,
testing::Combine(testing::Values(TYPICAL_MAT_SIZES),
testing::Values(TYPICAL_MAT_TYPES))
)
{
Size size = get<0>(GetParam());
int type = get<1>(GetParam());
Mat source(size.height, size.width, type);
Mat destination(size.height, size.width, type);;
declare.in(source, WARMUP_RNG).out(destination);
TEST_CYCLE()
{
source.clone();
}
destination = source.clone();
SANITY_CHECK(destination, 1);
}
PERF_TEST_P(Size_MatType, Mat_Clone_Roi,
testing::Combine(testing::Values(TYPICAL_MAT_SIZES),
testing::Values(TYPICAL_MAT_TYPES))
)
{
Size size = get<0>(GetParam());
int type = get<1>(GetParam());
unsigned int width = size.width;
unsigned int height = size.height;
Mat source(height, width, type);
Mat destination(size.height/2, size.width/2, type);
declare.in(source, WARMUP_RNG).out(destination);
Mat roi(source, Rect(width/4, height/4, 3*width/4, 3*height/4));
TEST_CYCLE()
{
roi.clone();
}
destination = roi.clone();
SANITY_CHECK(destination, 1);
}