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//                For Open Source Computer Vision Library
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#include "perf_precomp.hpp"

#ifdef HAVE_OPENCV_CUDAIMGPROC
#  include "opencv2/cudaimgproc.hpp"
#endif

namespace opencv_test { namespace {

//////////////////////////////////////////////////////
// FGDStatModel

#ifdef HAVE_VIDEO_INPUT

DEF_PARAM_TEST_1(Video, string);

PERF_TEST_P(Video, FGDStatModel,
            Values(string("cv/video/768x576.avi")))
{
    const int numIters = 10;

    declare.time(60);

    const string inputFile = perf::TestBase::getDataPath(GetParam());

    cv::VideoCapture cap(inputFile);
    ASSERT_TRUE(cap.isOpened());

    cv::Mat frame;
    cap >> frame;
    ASSERT_FALSE(frame.empty());

    if (PERF_RUN_CUDA())
    {
        cv::cuda::GpuMat d_frame(frame), foreground;

        cv::Ptr<cv::cuda::BackgroundSubtractorFGD> d_fgd = cv::cuda::createBackgroundSubtractorFGD();
        d_fgd->apply(d_frame, foreground);

        int i = 0;

        // collect performance data
        for (; i < numIters; ++i)
        {
            cap >> frame;
            ASSERT_FALSE(frame.empty());

            d_frame.upload(frame);

            startTimer();
            if(!next())
                break;

            d_fgd->apply(d_frame, foreground);

            stopTimer();
        }

        // process last frame in sequence to get data for sanity test
        for (; i < numIters; ++i)
        {
            cap >> frame;
            ASSERT_FALSE(frame.empty());

            d_frame.upload(frame);

            d_fgd->apply(d_frame, foreground);
        }
    }
    else
    {
        FAIL_NO_CPU();
    }

    SANITY_CHECK_NOTHING();
}

#endif

//////////////////////////////////////////////////////
// GMG

#ifdef HAVE_VIDEO_INPUT

DEF_PARAM_TEST(Video_Cn_MaxFeatures, string, MatCn, int);

PERF_TEST_P(Video_Cn_MaxFeatures, GMG,
            Combine(Values(string("cv/video/768x576.avi")),
                    CUDA_CHANNELS_1_3_4,
                    Values(20, 40, 60)))
{
    const int numIters = 150;

    const std::string inputFile = perf::TestBase::getDataPath(GET_PARAM(0));
    const int cn = GET_PARAM(1);
    const int maxFeatures = GET_PARAM(2);

    cv::VideoCapture cap(inputFile);
    ASSERT_TRUE(cap.isOpened());

    cv::Mat frame;
    cap >> frame;
    ASSERT_FALSE(frame.empty());

    if (cn != 3)
    {
        cv::Mat temp;
        if (cn == 1)
            cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
        else
            cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
        cv::swap(temp, frame);
    }

    if (PERF_RUN_CUDA())
    {
        cv::cuda::GpuMat d_frame(frame);
        cv::cuda::GpuMat foreground;

        cv::Ptr<cv::cuda::BackgroundSubtractorGMG> d_gmg = cv::cuda::createBackgroundSubtractorGMG();
        d_gmg->setMaxFeatures(maxFeatures);

        d_gmg->apply(d_frame, foreground);

        int i = 0;

        // collect performance data
        for (; i < numIters; ++i)
        {
            cap >> frame;
            if (frame.empty())
            {
                cap.release();
                cap.open(inputFile);
                cap >> frame;
            }

            if (cn != 3)
            {
                cv::Mat temp;
                if (cn == 1)
                    cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
                else
                    cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
                cv::swap(temp, frame);
            }

            d_frame.upload(frame);

            startTimer();
            if(!next())
                break;

            d_gmg->apply(d_frame, foreground);

            stopTimer();
        }

        // process last frame in sequence to get data for sanity test
        for (; i < numIters; ++i)
        {
            cap >> frame;
            if (frame.empty())
            {
                cap.release();
                cap.open(inputFile);
                cap >> frame;
            }

            if (cn != 3)
            {
                cv::Mat temp;
                if (cn == 1)
                    cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
                else
                    cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
                cv::swap(temp, frame);
            }

            d_frame.upload(frame);

            d_gmg->apply(d_frame, foreground);
        }
    }
    else
    {
        FAIL_NO_CPU();
    }

    SANITY_CHECK_NOTHING();
}

#endif

}} // namespace