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//    Fangfang Bai, fangfang@multicorewareinc.com
//    Jin Ma,       jin@multicorewareinc.com
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#include "../perf_precomp.hpp"
#include "opencv2/ts/ocl_perf.hpp"

using std::tr1::make_tuple;

#ifdef HAVE_OPENCL

namespace cvtest {
namespace ocl {

///////////// FarnebackOpticalFlow ////////////////////////
CV_ENUM(farneFlagType, 0, OPTFLOW_FARNEBACK_GAUSSIAN)

typedef tuple< int > PyrLKOpticalFlowParams;
typedef TestBaseWithParam<PyrLKOpticalFlowParams> PyrLKOpticalFlowFixture;

OCL_PERF_TEST_P(PyrLKOpticalFlowFixture, PyrLKOpticalFlow,
                ::testing::Values(1000, 2000, 4000)
                )
{
    Mat frame0 = imread(getDataPath("gpu/opticalflow/rubberwhale1.png"), cv::IMREAD_GRAYSCALE);
    ASSERT_FALSE(frame0.empty()) << "can't load rubberwhale1.png";

    Mat frame1 = imread(getDataPath("gpu/opticalflow/rubberwhale2.png"), cv::IMREAD_GRAYSCALE);
    ASSERT_FALSE(frame1.empty()) << "can't load rubberwhale2.png";

    UMat uFrame0; frame0.copyTo(uFrame0);
    UMat uFrame1; frame1.copyTo(uFrame1);

    const Size winSize = Size(21, 21);
    const int maxLevel = 3;
    const TermCriteria criteria = TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, 0.01);
    const int flags = 0;
    const float minEigThreshold = 1e-4f;
    const double eps = 1.0;

    const PyrLKOpticalFlowParams params = GetParam();
    const int pointsCount = get<0>(params);

    vector<Point2f> pts;
    goodFeaturesToTrack(frame0, pts, pointsCount, 0.01, 0.0);
    Mat ptsMat(1, static_cast<int>(pts.size()), CV_32FC2, (void *)&pts[0]);

    declare.in(uFrame0, uFrame1, WARMUP_READ);
    UMat uNextPts, uStatus, uErr;
    OCL_TEST_CYCLE()
        cv::calcOpticalFlowPyrLK(uFrame0, uFrame1, pts, uNextPts, uStatus, uErr, winSize, maxLevel, criteria, flags, minEigThreshold);

    SANITY_CHECK(uNextPts, eps);
}

} } // namespace cvtest::ocl

#endif // HAVE_OPENCL
