opencv/modules/ocl/test/test_bgfg.cpp

/*M///////////////////////////////////////////////////////////////////////////////////////
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//
//                           License Agreement
//                For Open Source Computer Vision Library
//
// Copyright (C) 2010-2013, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2013, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
//    Jin Ma, jin@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
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#include "test_precomp.hpp"

#ifdef HAVE_OPENCL

using namespace cv;
using namespace cv::ocl;
using namespace cvtest;
using namespace testing;
using namespace std;

#if defined(HAVE_XINE)         || \
    defined(HAVE_GSTREAMER)    || \
    defined(HAVE_QUICKTIME)    || \
    defined(HAVE_AVFOUNDATION) || \
    defined(HAVE_FFMPEG)       || \
    defined(WIN32)

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

#if BUILD_WITH_VIDEO_INPUT_SUPPORT

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

namespace
{
    IMPLEMENT_PARAM_CLASS(UseGray, bool)
    IMPLEMENT_PARAM_CLASS(LearningRate, double)
}

PARAM_TEST_CASE(mog, UseGray, LearningRate, bool)
{
    bool useGray;
    double learningRate;
    bool useRoi;

    virtual void SetUp()
    {
        useGray = GET_PARAM(0);

        learningRate = GET_PARAM(1);

        useRoi = GET_PARAM(2);
    }
};

TEST_P(mog, Update)
{
    std::string inputFile = string(cvtest::TS::ptr()->get_data_path()) + "gpu/video/768x576.avi";
    cv::VideoCapture cap(inputFile);
    ASSERT_TRUE(cap.isOpened());

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

    cv::ocl::MOG mog;
    cv::ocl::oclMat foreground = createMat_ocl(frame.size(), CV_8UC1, useRoi);

    cv::BackgroundSubtractorMOG mog_gold;
    cv::Mat foreground_gold;

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

        if (useGray)
        {
            cv::Mat temp;
            cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
            cv::swap(temp, frame);
        }

        mog(loadMat_ocl(frame, useRoi), foreground, (float)learningRate);

        mog_gold(frame, foreground_gold, learningRate);

        EXPECT_MAT_NEAR(foreground_gold, foreground, 0.0);
    }
}
INSTANTIATE_TEST_CASE_P(OCL_Video, mog, testing::Combine(
    testing::Values(UseGray(false), UseGray(true)),
    testing::Values(LearningRate(0.0), LearningRate(0.01)),
    Values(true, false)));

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

namespace
{
    IMPLEMENT_PARAM_CLASS(DetectShadow, bool)
}

PARAM_TEST_CASE(mog2, UseGray, DetectShadow, bool)
{
    bool useGray;
    bool detectShadow;
    bool useRoi;
    virtual void SetUp()
    {
        useGray = GET_PARAM(0);
        detectShadow = GET_PARAM(1);
        useRoi = GET_PARAM(2);
    }
};

TEST_P(mog2, Update)
{
    std::string inputFile = string(cvtest::TS::ptr()->get_data_path()) + "gpu/video/768x576.avi";
    cv::VideoCapture cap(inputFile);
    ASSERT_TRUE(cap.isOpened());

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

    cv::ocl::MOG2 mog2;
    mog2.bShadowDetection = detectShadow;
    cv::ocl::oclMat foreground = createMat_ocl(frame.size(), CV_8UC1, useRoi);

    cv::BackgroundSubtractorMOG2 mog2_gold;
    mog2_gold.set("detectShadows", detectShadow);
    cv::Mat foreground_gold;

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

        if (useGray)
        {
            cv::Mat temp;
            cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
            cv::swap(temp, frame);
        }

        mog2(loadMat_ocl(frame, useRoi), foreground);

        mog2_gold(frame, foreground_gold);

        if (detectShadow)
            EXPECT_MAT_SIMILAR(foreground_gold, foreground, 15e-3)
        else
            EXPECT_MAT_NEAR(foreground_gold, foreground, 0)
    }
}

TEST_P(mog2, getBackgroundImage)
{
    if (useGray)
        return;

    std::string inputFile = string(cvtest::TS::ptr()->get_data_path()) + "gpu/video/768x576.avi";
    cv::VideoCapture cap(inputFile);
    ASSERT_TRUE(cap.isOpened());

    cv::Mat frame;

    cv::ocl::MOG2 mog2;
    mog2.bShadowDetection = detectShadow;
    cv::ocl::oclMat foreground;

    cv::BackgroundSubtractorMOG2 mog2_gold;
    mog2_gold.set("detectShadows", detectShadow);
    cv::Mat foreground_gold;

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

        mog2(loadMat_ocl(frame, useRoi), foreground);

        mog2_gold(frame, foreground_gold);
    }

    cv::ocl::oclMat background = createMat_ocl(frame.size(), frame.type(), useRoi);
    mog2.getBackgroundImage(background);

    cv::Mat background_gold;
    mog2_gold.getBackgroundImage(background_gold);

    EXPECT_MAT_NEAR(background_gold, background, 1.0);
}

INSTANTIATE_TEST_CASE_P(OCL_Video, mog2, testing::Combine(
    testing::Values(UseGray(true), UseGray(false)),
    testing::Values(DetectShadow(true), DetectShadow(false)),
    Values(true, false)));

#endif

#endif