Open Source Computer Vision Library https://opencv.org/
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
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// If you do not agree to this license, do not download, install,
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//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
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#include "../test_precomp.hpp"
#include "opencv2/ts/ocl_test.hpp"
#ifdef HAVE_OPENCL
namespace opencv_test {
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 opencv_test::ocl
#endif // HAVE_OPENCL