opencv/modules/video/test/ocl/test_optflow_tvl1flow.cpp

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#include "../test_precomp.hpp"
#include "opencv2/ts/ocl_test.hpp"

#ifdef HAVE_OPENCL

namespace cvtest {
namespace ocl {

/////////////////////////////////////////////////////////////////////////////////////////////////
// Optical_flow_tvl1
namespace
{
    IMPLEMENT_PARAM_CLASS(UseInitFlow, bool)
    IMPLEMENT_PARAM_CLASS(MedianFiltering, int)
    IMPLEMENT_PARAM_CLASS(ScaleStep, double)
}

PARAM_TEST_CASE(OpticalFlowTVL1, UseInitFlow, MedianFiltering, ScaleStep)
{
    bool useInitFlow;
    int medianFiltering;
    double scaleStep;
    virtual void SetUp()
    {
        useInitFlow = GET_PARAM(0);
        medianFiltering = GET_PARAM(1);
        scaleStep = GET_PARAM(2);
    }
};

OCL_TEST_P(OpticalFlowTVL1, Mat)
{
    cv::Mat frame0 = readImage("optflow/RubberWhale1.png", cv::IMREAD_GRAYSCALE);
    ASSERT_FALSE(frame0.empty());

    cv::Mat frame1 = readImage("optflow/RubberWhale2.png", cv::IMREAD_GRAYSCALE);
    ASSERT_FALSE(frame1.empty());

    cv::Mat flow; cv::UMat uflow;

    //create algorithm
    cv::Ptr<cv::DualTVL1OpticalFlow> alg = cv::createOptFlow_DualTVL1();

    //set parameters
    alg->setScaleStep(scaleStep);
    alg->setMedianFiltering(medianFiltering);

    //create initial flow as result of algorithm calculation
    if (useInitFlow)
    {
        OCL_ON(alg->calc(frame0, frame1, uflow));
        uflow.copyTo(flow);
    }

    //set flag to use initial flow as it is ready to use
    alg->setUseInitialFlow(useInitFlow);

    OCL_OFF(alg->calc(frame0, frame1, flow));
    OCL_ON(alg->calc(frame0, frame1, uflow));

    EXPECT_MAT_SIMILAR(flow, uflow, 1e-2);
}

OCL_INSTANTIATE_TEST_CASE_P(Video, OpticalFlowTVL1,
    Combine(
    Values(UseInitFlow(false), UseInitFlow(true)),
    Values(MedianFiltering(3), MedianFiltering(-1)),
    Values(ScaleStep(0.3),ScaleStep(0.5))
    )
    );

} } // namespace cvtest::ocl

#endif // HAVE_OPENCL