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;
typedef std::tr1::tuple<string, int, bool, std::tr1::tuple<double, double> > Img_Aperture_L2_thresholds_t;
typedef perf::TestBaseWithParam<Img_Aperture_L2_thresholds_t> Img_Aperture_L2_thresholds;
PERF_TEST_P(Img_Aperture_L2_thresholds, canny,
testing::Combine(
testing::Values( "cv/shared/lena.png", "stitching/b1.png", "cv/detectors_descriptors_evaluation/images_datasets/leuven/img1.png" ),
testing::Values( 3, 5 ),
testing::Bool(),
testing::Values( make_tuple(50.0, 100.0), make_tuple(0.0, 50.0), make_tuple(100.0, 120.0) )
)
)
{
string filename = getDataPath(get<0>(GetParam()));
int aperture = get<1>(GetParam());
bool useL2 = get<2>(GetParam());
double thresh_low = get<0>(get<3>(GetParam()));
double thresh_high = get<1>(get<3>(GetParam()));
Mat img = imread(filename, IMREAD_GRAYSCALE);
if (img.empty())
FAIL() << "Unable to load source image " << filename;
Mat edges(img.size(), img.type());
declare.in(img).out(edges);
PERF_SAMPLE_BEGIN();
Canny(img, edges, thresh_low, thresh_high, aperture, useL2);
PERF_SAMPLE_END();
SANITY_CHECK(edges);
}