opencv/modules/video/test/ocl/test_optflow_farneback.cpp
Alexander Alekhin 55188fe991 world fix
2014-08-05 20:12:35 +04:00

121 lines
4.5 KiB
C++

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#include "../test_precomp.hpp"
#include "opencv2/ts/ocl_test.hpp"
#ifdef HAVE_OPENCL
namespace cvtest {
namespace ocl {
/////////////////////////////////////////////////////////////////////////////////////////////////
// FarnebackOpticalFlow
namespace
{
IMPLEMENT_PARAM_CLASS(PyrScale, double)
IMPLEMENT_PARAM_CLASS(PolyN, int)
CV_FLAGS(FarnebackOptFlowFlags, 0, OPTFLOW_FARNEBACK_GAUSSIAN)
IMPLEMENT_PARAM_CLASS(UseInitFlow, bool)
}
PARAM_TEST_CASE(FarnebackOpticalFlow, PyrScale, PolyN, FarnebackOptFlowFlags, UseInitFlow)
{
int numLevels;
int winSize;
int numIters;
double pyrScale;
int polyN;
int flags;
bool useInitFlow;
virtual void SetUp()
{
numLevels = 5;
winSize = 13;
numIters = 10;
pyrScale = GET_PARAM(0);
polyN = GET_PARAM(1);
flags = GET_PARAM(2);
useInitFlow = GET_PARAM(3);
}
};
OCL_TEST_P(FarnebackOpticalFlow, 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());
double polySigma = polyN <= 5 ? 1.1 : 1.5;
cv::Mat flow; cv::UMat uflow;
if (useInitFlow)
{
OCL_ON(cv::calcOpticalFlowFarneback(frame0, frame1, uflow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags));
uflow.copyTo(flow);
flags |= cv::OPTFLOW_USE_INITIAL_FLOW;
}
OCL_OFF(cv::calcOpticalFlowFarneback(frame0, frame1, flow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags));
OCL_ON(cv::calcOpticalFlowFarneback(frame0, frame1, uflow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags));
EXPECT_MAT_SIMILAR(flow, uflow, 0.1);
}
OCL_INSTANTIATE_TEST_CASE_P(Video, FarnebackOpticalFlow,
Combine(
Values(PyrScale(0.3), PyrScale(0.5), PyrScale(0.8)),
Values(PolyN(5), PolyN(7)),
Values(FarnebackOptFlowFlags(0), FarnebackOptFlowFlags(cv::OPTFLOW_FARNEBACK_GAUSSIAN)),
Values(UseInitFlow(false), UseInitFlow(true))
)
);
} } // namespace cvtest::ocl
#endif // HAVE_OPENCL