/*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.
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// @Authors
//    Peng Xiao, pengxiao@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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//   * Redistribution's of source code must retain the above copyright notice,
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//M*/

#include "test_precomp.hpp"
#include "opencv2/opencv_modules.hpp"
#include "opencv2/bioinspired.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"

#if defined(HAVE_OPENCV_OCL) && defined(HAVE_OPENCL)

#include "opencv2/ocl.hpp"
#define RETINA_ITERATIONS 5

static double checkNear(const cv::Mat &m1, const cv::Mat &m2)
{
    return cv::norm(m1, m2, cv::NORM_INF);
}

#define PARAM_TEST_CASE(name, ...) struct name : testing::TestWithParam< std::tr1::tuple< __VA_ARGS__ > >
#define GET_PARAM(k) std::tr1::get< k >(GetParam())


PARAM_TEST_CASE(Retina_OCL, bool, int, bool, double, double)
{
    bool colorMode;
    int colorSamplingMethod;
    bool useLogSampling;
    double reductionFactor;
    double samplingStrength;

    std::vector<cv::ocl::Info> infos;

    virtual void SetUp()
    {
        colorMode           = GET_PARAM(0);
        colorSamplingMethod = GET_PARAM(1);
        useLogSampling      = GET_PARAM(2);
        reductionFactor     = GET_PARAM(3);
        samplingStrength    = GET_PARAM(4);

        cv::ocl::getDevice(infos);
        std::cout << "Device name:" << infos[0].DeviceName[0] << std::endl;
    }
};

TEST_P(Retina_OCL, Accuracy)
{
    using namespace cv;
    Mat input = imread(cvtest::TS::ptr()->get_data_path() + "shared/lena.png", colorMode);
    CV_Assert(!input.empty());
    ocl::oclMat ocl_input(input);

    Ptr<bioinspired::Retina> ocl_retina = bioinspired::createRetina_OCL(
        input.size(),
        colorMode,
        colorSamplingMethod,
        useLogSampling,
        reductionFactor,
        samplingStrength);

    Ptr<bioinspired::Retina> gold_retina = bioinspired::createRetina(
        input.size(),
        colorMode,
        colorSamplingMethod,
        useLogSampling,
        reductionFactor,
        samplingStrength);

    Mat gold_parvo;
    Mat gold_magno;
    ocl::oclMat ocl_parvo;
    ocl::oclMat ocl_magno;

    for(int i = 0; i < RETINA_ITERATIONS; i ++)
    {
        ocl_retina->run(ocl_input);
        gold_retina->run(input);

        gold_retina->getParvo(gold_parvo);
        gold_retina->getMagno(gold_magno);

        ocl_retina->getParvo(ocl_parvo);
        ocl_retina->getMagno(ocl_magno);

        EXPECT_LE(checkNear(gold_parvo, (Mat)ocl_parvo), 1.0);
        EXPECT_LE(checkNear(gold_magno, (Mat)ocl_magno), 1.0);
    }
}

INSTANTIATE_TEST_CASE_P(Contrib, Retina_OCL, testing::Combine(
                            testing::Values(false, true),
                            testing::Values((int)cv::bioinspired::RETINA_COLOR_BAYER),
                            testing::Values(false/*,true*/),
                            testing::Values(1.0, 0.5),
                            testing::Values(10.0, 5.0)));
#endif