Open Source Computer Vision Library https://opencv.org/
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#include "perf_precomp.hpp"
#include "opencv2/core/core_c.h"
namespace opencv_test
{
using namespace perf;
CV_ENUM(ROp, CV_REDUCE_SUM, CV_REDUCE_AVG, CV_REDUCE_MAX, CV_REDUCE_MIN)
typedef tuple<Size, MatType, ROp> Size_MatType_ROp_t;
typedef perf::TestBaseWithParam<Size_MatType_ROp_t> Size_MatType_ROp;
PERF_TEST_P(Size_MatType_ROp, reduceR,
testing::Combine(
testing::Values(TYPICAL_MAT_SIZES),
testing::Values(TYPICAL_MAT_TYPES),
ROp::all()
)
)
{
Size sz = get<0>(GetParam());
int matType = get<1>(GetParam());
int reduceOp = get<2>(GetParam());
int ddepth = -1;
if( CV_MAT_DEPTH(matType) < CV_32S && (reduceOp == CV_REDUCE_SUM || reduceOp == CV_REDUCE_AVG) )
ddepth = CV_32S;
Mat src(sz, matType);
Mat vec(1, sz.width, ddepth < 0 ? matType : ddepth);
declare.in(src, WARMUP_RNG).out(vec);
declare.time(100);
int runs = 15;
TEST_CYCLE_MULTIRUN(runs) reduce(src, vec, 0, reduceOp, ddepth);
SANITY_CHECK(vec, 1);
}
PERF_TEST_P(Size_MatType_ROp, reduceC,
testing::Combine(
testing::Values(TYPICAL_MAT_SIZES),
testing::Values(TYPICAL_MAT_TYPES),
ROp::all()
)
)
{
Size sz = get<0>(GetParam());
int matType = get<1>(GetParam());
int reduceOp = get<2>(GetParam());
int ddepth = -1;
if( CV_MAT_DEPTH(matType)< CV_32S && (reduceOp == CV_REDUCE_SUM || reduceOp == CV_REDUCE_AVG) )
ddepth = CV_32S;
Mat src(sz, matType);
Mat vec(sz.height, 1, ddepth < 0 ? matType : ddepth);
declare.in(src, WARMUP_RNG).out(vec);
declare.time(100);
TEST_CYCLE() reduce(src, vec, 1, reduceOp, ddepth);
SANITY_CHECK(vec, 1);
}
typedef tuple<Size, MatType, int> Size_MatType_RMode_t;
typedef perf::TestBaseWithParam<Size_MatType_RMode_t> Size_MatType_RMode;
PERF_TEST_P(Size_MatType_RMode, DISABLED_reduceArgMinMax, testing::Combine(
testing::Values(TYPICAL_MAT_SIZES),
testing::Values(CV_8U, CV_32F),
testing::Values(0, 1)
)
)
{
Size srcSize = get<0>(GetParam());
int matType = get<1>(GetParam());
int axis = get<2>(GetParam());
Mat src(srcSize, matType);
std::vector<int> dstSize(src.dims);
std::copy(src.size.p, src.size.p + src.dims, dstSize.begin());
dstSize[axis] = 1;
Mat dst(dstSize, CV_32S, 0.);
declare.in(src, WARMUP_RNG).out(dst);
TEST_CYCLE() cv::reduceArgMin(src, dst, axis, true);
SANITY_CHECK_NOTHING();
}
} // namespace