opencv/modules/cudaimgproc/perf/perf_gftt.cpp

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#include "perf_precomp.hpp"

using namespace std;
using namespace testing;
using namespace perf;

//////////////////////////////////////////////////////
// GoodFeaturesToTrack

DEF_PARAM_TEST(Image_MinDistance, string, double);

PERF_TEST_P(Image_MinDistance, GoodFeaturesToTrack,
            Combine(Values<string>("gpu/perf/aloe.png"),
                    Values(0.0, 3.0)))
{
    const string fileName = GET_PARAM(0);
    const double minDistance = GET_PARAM(1);

    const cv::Mat image = readImage(fileName, cv::IMREAD_GRAYSCALE);
    ASSERT_FALSE(image.empty());

    const int maxCorners = 8000;
    const double qualityLevel = 0.01;

    if (PERF_RUN_CUDA())
    {
        cv::Ptr<cv::cuda::CornersDetector> d_detector = cv::cuda::createGoodFeaturesToTrackDetector(image.type(), maxCorners, qualityLevel, minDistance);

        const cv::cuda::GpuMat d_image(image);
        cv::cuda::GpuMat pts;

        TEST_CYCLE() d_detector->detect(d_image, pts);

        CUDA_SANITY_CHECK(pts);
    }
    else
    {
        cv::Mat pts;

        TEST_CYCLE() cv::goodFeaturesToTrack(image, pts, maxCorners, qualityLevel, minDistance);

        CPU_SANITY_CHECK(pts);
    }
}