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(BorderType, BORDER_REPLICATE, BORDER_CONSTANT, BORDER_REFLECT, BORDER_REFLECT_101)
typedef std::tr1::tuple<String, int, int, double, BorderType> Img_BlockSize_ApertureSize_k_BorderType_t;
typedef perf::TestBaseWithParam<Img_BlockSize_ApertureSize_k_BorderType_t> Img_BlockSize_ApertureSize_k_BorderType;
PERF_TEST_P(Img_BlockSize_ApertureSize_k_BorderType, cornerHarris,
testing::Combine(
testing::Values( "stitching/a1.jpg", "cv/shared/pic5.png"),
testing::Values( 3, 5 ),
testing::Values( 3, 5 ),
testing::Values( 0.04, 0.1 ),
testing::ValuesIn(BorderType::all())
)
)
{
String filename = getDataPath(get<0>(GetParam()));
int blockSize = get<1>(GetParam());
int apertureSize = get<2>(GetParam());
double k = get<3>(GetParam());
BorderType borderType = get<4>(GetParam());
Mat src = imread(filename, IMREAD_GRAYSCALE);
if (src.empty())
FAIL() << "Unable to load source image" << filename;
Mat dst;
TEST_CYCLE() cornerHarris(src, dst, blockSize, apertureSize, k, borderType);
SANITY_CHECK(dst, 2e-5);
}