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;
CV_ENUM(CmpType, CMP_EQ, CMP_GT, CMP_GE, CMP_LT, CMP_LE, CMP_NE)
typedef std::tr1::tuple<Size, MatType, CmpType> Size_MatType_CmpType_t;
typedef perf::TestBaseWithParam<Size_MatType_CmpType_t> Size_MatType_CmpType;
PERF_TEST_P( Size_MatType_CmpType, compare,
testing::Combine(
testing::Values(::perf::szVGA, ::perf::sz1080p),
testing::Values(CV_8UC1, CV_8UC4, CV_8SC1, CV_16UC1, CV_16SC1, CV_32SC1, CV_32FC1),
testing::ValuesIn(CmpType::all())
)
)
{
Size sz = get<0>(GetParam());
int matType1 = get<1>(GetParam());
CmpType cmpType = get<2>(GetParam());
Mat src1(sz, matType1);
Mat src2(sz, matType1);
Mat dst(sz, CV_8UC(CV_MAT_CN(matType1)));
declare.in(src1, src2, WARMUP_RNG).out(dst);
TEST_CYCLE() cv::compare(src1, src2, dst, cmpType);
SANITY_CHECK(dst);
}
PERF_TEST_P( Size_MatType_CmpType, compareScalar,
testing::Combine(
testing::Values(TYPICAL_MAT_SIZES),
testing::Values(TYPICAL_MAT_TYPES),
testing::ValuesIn(CmpType::all())
)
)
{
Size sz = get<0>(GetParam());
int matType = get<1>(GetParam());
CmpType cmpType = get<2>(GetParam());
Mat src1(sz, matType);
Scalar src2;
Mat dst(sz, CV_8UC(CV_MAT_CN(matType)));
declare.in(src1, src2, WARMUP_RNG).out(dst);
int runs = (sz.width <= 640) ? 8 : 1;
TEST_CYCLE_MULTIRUN(runs) cv::compare(src1, src2, dst, cmpType);
SANITY_CHECK(dst);
}