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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;
typedef std::tr1::tuple<String, int, double, int, bool> Image_MaxCorners_QualityLevel_MinDistance_BlockSize_UseHarris_t;
typedef perf::TestBaseWithParam<Image_MaxCorners_QualityLevel_MinDistance_BlockSize_UseHarris_t> Image_MaxCorners_QualityLevel_MinDistance_BlockSize_UseHarris;
PERF_TEST_P(Image_MaxCorners_QualityLevel_MinDistance_BlockSize_UseHarris, goodFeaturesToTrack,
testing::Combine(
testing::Values( "stitching/a1.png", "cv/shared/pic5.png"),
testing::Values( 100, 500 ),
testing::Values( 0.1, 0.01 ),
testing::Values( 3, 5 ),
testing::Bool()
)
)
{
String filename = getDataPath(get<0>(GetParam()));
int maxCorners = get<1>(GetParam());
double qualityLevel = get<2>(GetParam());
int blockSize = get<3>(GetParam());
bool useHarrisDetector = get<4>(GetParam());
Mat image = imread(filename, IMREAD_GRAYSCALE);
if (image.empty())
FAIL() << "Unable to load source image" << filename;
std::vector<Point2f> corners;
double minDistance = 1;
TEST_CYCLE() goodFeaturesToTrack(image, corners, maxCorners, qualityLevel, minDistance, noArray(), blockSize, useHarrisDetector);
if (corners.size() > 50)
corners.erase(corners.begin() + 50, corners.end());
SANITY_CHECK(corners);
}
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