opencv/modules/bioinspired/test/test_retina_ocl.cpp

/*M///////////////////////////////////////////////////////////////////////////////////////
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// @Authors
//    Peng Xiao, pengxiao@multicorewareinc.com
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#include "test_precomp.hpp"
#include "opencv2/opencv_modules.hpp"
#include "opencv2/bioinspired.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"

#include "opencv2/core/ocl.hpp" // cv::ocl::haveOpenCL

#if defined(HAVE_OPENCV_OCL)

#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())

static int oclInit = false;
static int oclAvailable = false;

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

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

        if (!oclInit)
        {
            if (cv::ocl::haveOpenCL())
            {
                try
                {
                    const cv::ocl::DeviceInfo& dev = cv::ocl::Context::getContext()->getDeviceInfo();
                    std::cout << "Device name:" << dev.deviceName << std::endl;
                    oclAvailable = true;
                }
                catch (...)
                {
                    std::cout << "Device name: N/A" << std::endl;
                }
            }
            oclInit = true;
        }
    }
};

TEST_P(Retina_OCL, Accuracy)
{
    if (!oclAvailable)
    {
        std::cout << "SKIP test" << std::endl;
        return;
    }

    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);

        int eps = colorMode ? 2 : 1;

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

INSTANTIATE_TEST_CASE_P(Contrib, Retina_OCL, testing::Combine(
                            testing::Bool(),
                            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