opencv/modules/ocl/perf/perf_gftt.cpp

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// @Authors
//    Peng Xiao, pengxiao@outlook.com
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#include "precomp.hpp"

///////////// GoodFeaturesToTrack ////////////////////////
PERFTEST(GoodFeaturesToTrack)
{
    using namespace cv;

    int maxCorners = 2000;
    double qualityLevel = 0.01;

    std::string images[] = { "rubberwhale1.png", "aloeL.jpg" };

    std::vector<cv::Point2f> pts_gold, pts_ocl;

    for(size_t imgIdx = 0; imgIdx < (sizeof(images)/sizeof(std::string)); ++imgIdx)
    {
        Mat frame = imread(abspath(images[imgIdx]), IMREAD_GRAYSCALE);
        CV_Assert(!frame.empty());

        for(float minDistance = 0; minDistance < 4; minDistance += 3.0)
        {
            SUBTEST << "image = " << images[imgIdx] << "; ";
            SUBTEST << "minDistance = " << minDistance << "; ";

            cv::goodFeaturesToTrack(frame, pts_gold, maxCorners, qualityLevel, minDistance);

            CPU_ON;
            cv::goodFeaturesToTrack(frame, pts_gold, maxCorners, qualityLevel, minDistance);
            CPU_OFF;

            cv::ocl::GoodFeaturesToTrackDetector_OCL detector(maxCorners, qualityLevel, minDistance);

            ocl::oclMat frame_ocl(frame), pts_oclmat;

            WARMUP_ON;
            detector(frame_ocl, pts_oclmat);
            WARMUP_OFF;

            detector.downloadPoints(pts_oclmat, pts_ocl);

            double diff = abs(static_cast<float>(pts_gold.size() - pts_ocl.size()));
            TestSystem::instance().setAccurate(diff == 0.0, diff);

            GPU_ON;
            detector(frame_ocl, pts_oclmat);
            GPU_OFF;

            GPU_FULL_ON;
            frame_ocl.upload(frame);
            detector(frame_ocl, pts_oclmat);
            detector.downloadPoints(pts_oclmat, pts_ocl);
            GPU_FULL_OFF;
        }
    }
}