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#include "../test_precomp.hpp"
#include "opencv2/ts/ocl_test.hpp"


#ifdef HAVE_OPENCL


namespace cvtest {
namespace ocl {

/////////////////////////////////////////////////////////////////////////////////////////////////
// PyrLKOpticalFlow

PARAM_TEST_CASE(PyrLKOpticalFlow, int, int)
{
    Size winSize;
    int maxLevel;
    TermCriteria criteria;
    int flags;
    double minEigThreshold;

    virtual void SetUp()
    {
        winSize = Size(GET_PARAM(0), GET_PARAM(0));
        maxLevel = GET_PARAM(1);
        criteria = TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, 0.01);
        flags = 0;
        minEigThreshold = 1e-4f;
    }
};

OCL_TEST_P(PyrLKOpticalFlow, Mat)
{
    static const int npoints = 1000;
    static const float eps = 0.03f;
    static const float erreps = 0.1f;

    cv::Mat frame0 = readImage("optflow/RubberWhale1.png", cv::IMREAD_GRAYSCALE);
    ASSERT_FALSE(frame0.empty());
    UMat umatFrame0; frame0.copyTo(umatFrame0);

    cv::Mat frame1 = readImage("optflow/RubberWhale2.png", cv::IMREAD_GRAYSCALE);
    ASSERT_FALSE(frame1.empty());
    UMat umatFrame1; frame1.copyTo(umatFrame1);

    // SKIP unstable tests
#ifdef __linux__
    if (cvtest::skipUnstableTests && ocl::useOpenCL())
    {
         if (ocl::Device::getDefault().isIntel())
             throw cvtest::SkipTestException("Skip unstable test");
    }
#endif

    std::vector<cv::Point2f> pts;
    cv::goodFeaturesToTrack(frame0, pts, npoints, 0.01, 0.0);

    std::vector<cv::Point2f> cpuNextPts;
    std::vector<unsigned char> cpuStatusCPU;
    std::vector<float> cpuErr;
    OCL_OFF(cv::calcOpticalFlowPyrLK(frame0, frame1, pts, cpuNextPts, cpuStatusCPU, cpuErr, winSize, maxLevel, criteria, flags, minEigThreshold));

    UMat umatNextPts, umatStatus, umatErr;
    OCL_ON(cv::calcOpticalFlowPyrLK(umatFrame0, umatFrame1, pts, umatNextPts, umatStatus, umatErr, winSize, maxLevel, criteria, flags, minEigThreshold));
    std::vector<cv::Point2f> nextPts; umatNextPts.reshape(2, 1).copyTo(nextPts);
    std::vector<unsigned char> status; umatStatus.reshape(1, 1).copyTo(status);
    std::vector<float> err; umatErr.reshape(1, 1).copyTo(err);

    ASSERT_EQ(cpuNextPts.size(), nextPts.size());
    ASSERT_EQ(cpuStatusCPU.size(), status.size());

    size_t mistmatch = 0;
    size_t errmatch = 0;

    for (size_t i = 0; i < nextPts.size(); ++i)
    {
        if (status[i] != cpuStatusCPU[i])
        {
            ++mistmatch;
            continue;
        }

        if (status[i])
        {
            cv::Point2i a = nextPts[i];
            cv::Point2i b = cpuNextPts[i];

            bool eq = std::abs(a.x - b.x) < 1 && std::abs(a.y - b.y) < 1;
            float errdiff = 0.0f;

            if (!eq || errdiff > 1e-1)
            {
                ++mistmatch;
                continue;
            }

            eq = std::abs(cpuErr[i] - err[i]) < 0.01;
            if(!eq)
                ++errmatch;
        }
    }

    double bad_ratio = static_cast<double>(mistmatch) / (nextPts.size());
    double err_ratio = static_cast<double>(errmatch) / (nextPts.size());

    ASSERT_LE(bad_ratio, eps);
    ASSERT_LE(err_ratio, erreps);
}

OCL_INSTANTIATE_TEST_CASE_P(Video, PyrLKOpticalFlow,
                            Combine(
                                Values(11, 15, 21, 25),
                                Values(3, 5)
                                )
                           );

} } // namespace cvtest::ocl


#endif // HAVE_OPENCL