Open Source Computer Vision Library https://opencv.org/
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11 years ago
#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