opencv/modules/gpubgsegm/perf/perf_bgsegm.cpp

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#include "perf_precomp.hpp"
#include "opencv2/legacy.hpp"

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

#if defined(HAVE_XINE)         || \
    defined(HAVE_GSTREAMER)    || \
    defined(HAVE_QUICKTIME)    || \
    defined(HAVE_AVFOUNDATION) || \
    defined(HAVE_FFMPEG)       || \
    defined(WIN32) /* assume that we have ffmpeg */

#  define BUILD_WITH_VIDEO_INPUT_SUPPORT 1
#else
#  define BUILD_WITH_VIDEO_INPUT_SUPPORT 0
#endif

namespace cv
{
    template<> void Ptr<CvBGStatModel>::delete_obj()
    {
        cvReleaseBGStatModel(&obj);
    }
}

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

#if BUILD_WITH_VIDEO_INPUT_SUPPORT

DEF_PARAM_TEST_1(Video, string);

PERF_TEST_P(Video, FGDStatModel,
            Values(string("gpu/video/768x576.avi")))
{
    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_GPU())
    {
        cv::gpu::GpuMat d_frame(frame);

        cv::gpu::FGDStatModel d_model(4);
        d_model.create(d_frame);

        for (int i = 0; i < 10; ++i)
        {
            cap >> frame;
            ASSERT_FALSE(frame.empty());

            d_frame.upload(frame);

            startTimer(); next();
            d_model.update(d_frame);
            stopTimer();
        }

        const cv::gpu::GpuMat background = d_model.background;
        const cv::gpu::GpuMat foreground = d_model.foreground;

        GPU_SANITY_CHECK(background, 1e-2, ERROR_RELATIVE);
        GPU_SANITY_CHECK(foreground, 1e-2, ERROR_RELATIVE);
    }
    else
    {
        IplImage ipl_frame = frame;
        cv::Ptr<CvBGStatModel> model(cvCreateFGDStatModel(&ipl_frame));

        for (int i = 0; i < 10; ++i)
        {
            cap >> frame;
            ASSERT_FALSE(frame.empty());

            ipl_frame = frame;

            startTimer(); next();
            cvUpdateBGStatModel(&ipl_frame, model);
            stopTimer();
        }

        const cv::Mat background = cv::cvarrToMat(model->background);
        const cv::Mat foreground = cv::cvarrToMat(model->foreground);

        CPU_SANITY_CHECK(background);
        CPU_SANITY_CHECK(foreground);
    }
}

#endif

//////////////////////////////////////////////////////
// MOG

#if BUILD_WITH_VIDEO_INPUT_SUPPORT

DEF_PARAM_TEST(Video_Cn_LearningRate, string, MatCn, double);

PERF_TEST_P(Video_Cn_LearningRate, MOG,
            Combine(Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"),
                    GPU_CHANNELS_1_3_4,
                    Values(0.0, 0.01)))
{
    const string inputFile = perf::TestBase::getDataPath(GET_PARAM(0));
    const int cn = GET_PARAM(1);
    const float learningRate = static_cast<float>(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_GPU())
    {
        cv::gpu::GpuMat d_frame(frame);
        cv::gpu::MOG_GPU d_mog;
        cv::gpu::GpuMat foreground;

        d_mog(d_frame, foreground, learningRate);

        for (int i = 0; i < 10; ++i)
        {
            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);
            }

            d_frame.upload(frame);

            startTimer(); next();
            d_mog(d_frame, foreground, learningRate);
            stopTimer();
        }

        GPU_SANITY_CHECK(foreground);
    }
    else
    {
        cv::Ptr<cv::BackgroundSubtractor> mog = cv::createBackgroundSubtractorMOG();
        cv::Mat foreground;

        mog->apply(frame, foreground, learningRate);

        for (int i = 0; i < 10; ++i)
        {
            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);
            }

            startTimer(); next();
            mog->apply(frame, foreground, learningRate);
            stopTimer();
        }

        CPU_SANITY_CHECK(foreground);
    }
}

#endif

//////////////////////////////////////////////////////
// MOG2

#if BUILD_WITH_VIDEO_INPUT_SUPPORT

DEF_PARAM_TEST(Video_Cn, string, int);

PERF_TEST_P(Video_Cn, MOG2,
            Combine(Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"),
                    GPU_CHANNELS_1_3_4))
{
    const string inputFile = perf::TestBase::getDataPath(GET_PARAM(0));
    const int cn = GET_PARAM(1);

    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_GPU())
    {
        cv::gpu::MOG2_GPU d_mog2;
        d_mog2.bShadowDetection = false;

        cv::gpu::GpuMat d_frame(frame);
        cv::gpu::GpuMat foreground;

        d_mog2(d_frame, foreground);

        for (int i = 0; i < 10; ++i)
        {
            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);
            }

            d_frame.upload(frame);

            startTimer(); next();
            d_mog2(d_frame, foreground);
            stopTimer();
        }

        GPU_SANITY_CHECK(foreground);
    }
    else
    {
        cv::Ptr<cv::BackgroundSubtractor> mog2 = cv::createBackgroundSubtractorMOG2();
        mog2->set("detectShadows", false);

        cv::Mat foreground;

        mog2->apply(frame, foreground);

        for (int i = 0; i < 10; ++i)
        {
            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);
            }

            startTimer(); next();
            mog2->apply(frame, foreground);
            stopTimer();
        }

        CPU_SANITY_CHECK(foreground);
    }
}

#endif

//////////////////////////////////////////////////////
// MOG2GetBackgroundImage

#if BUILD_WITH_VIDEO_INPUT_SUPPORT

PERF_TEST_P(Video_Cn, MOG2GetBackgroundImage,
            Combine(Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"),
                    GPU_CHANNELS_1_3_4))
{
    const string inputFile = perf::TestBase::getDataPath(GET_PARAM(0));
    const int cn = GET_PARAM(1);

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

    cv::Mat frame;

    if (PERF_RUN_GPU())
    {
        cv::gpu::GpuMat d_frame;
        cv::gpu::MOG2_GPU d_mog2;
        cv::gpu::GpuMat d_foreground;

        for (int i = 0; i < 10; ++i)
        {
            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);
            }

            d_frame.upload(frame);

            d_mog2(d_frame, d_foreground);
        }

        cv::gpu::GpuMat background;

        TEST_CYCLE() d_mog2.getBackgroundImage(background);

        GPU_SANITY_CHECK(background, 1);
    }
    else
    {
        cv::Ptr<cv::BackgroundSubtractor> mog2 = cv::createBackgroundSubtractorMOG2();
        cv::Mat foreground;

        for (int i = 0; i < 10; ++i)
        {
            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);
            }

            mog2->apply(frame, foreground);
        }

        cv::Mat background;

        TEST_CYCLE() mog2->getBackgroundImage(background);

        CPU_SANITY_CHECK(background);
    }
}

#endif

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

#if BUILD_WITH_VIDEO_INPUT_SUPPORT

DEF_PARAM_TEST(Video_Cn_MaxFeatures, string, MatCn, int);

PERF_TEST_P(Video_Cn_MaxFeatures, GMG,
            Combine(Values(string("gpu/video/768x576.avi")),
                    GPU_CHANNELS_1_3_4,
                    Values(20, 40, 60)))
{
    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_GPU())
    {
        cv::gpu::GpuMat d_frame(frame);
        cv::gpu::GpuMat foreground;

        cv::gpu::GMG_GPU d_gmg;
        d_gmg.maxFeatures = maxFeatures;

        d_gmg(d_frame, foreground);

        for (int i = 0; i < 150; ++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(); next();
            d_gmg(d_frame, foreground);
            stopTimer();
        }

        GPU_SANITY_CHECK(foreground);
    }
    else
    {
        cv::Mat foreground;
        cv::Mat zeros(frame.size(), CV_8UC1, cv::Scalar::all(0));

        cv::Ptr<cv::BackgroundSubtractor> gmg = cv::createBackgroundSubtractorGMG();
        gmg->set("maxFeatures", maxFeatures);
        //gmg.initialize(frame.size(), 0.0, 255.0);

        gmg->apply(frame, foreground);

        for (int i = 0; i < 150; ++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);
            }

            startTimer(); next();
            gmg->apply(frame, foreground);
            stopTimer();
        }

        CPU_SANITY_CHECK(foreground);
    }
}

#endif