/*M///////////////////////////////////////////////////////////////////////////////////////
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// For Open Source Computer Vision Library
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// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
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// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
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//M*/
#include "../perf_precomp.hpp"
#include "opencv2/ts/ocl_perf.hpp"
using std::tr1::make_tuple;
#ifdef HAVE_OPENCL
namespace cvtest {
namespace ocl {
///////////// FarnebackOpticalFlow ////////////////////////
CV_ENUM(farneFlagType, 0, OPTFLOW_FARNEBACK_GAUSSIAN)
typedef tuple< int > PyrLKOpticalFlowParams;
typedef TestBaseWithParam<PyrLKOpticalFlowParams> PyrLKOpticalFlowFixture;
OCL_PERF_TEST_P(PyrLKOpticalFlowFixture, PyrLKOpticalFlow,
::testing::Values(1000, 2000, 4000)
)
{
Mat frame0 = imread(getDataPath("gpu/opticalflow/rubberwhale1.png"), cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(frame0.empty()) << "can't load rubberwhale1.png";
Mat frame1 = imread(getDataPath("gpu/opticalflow/rubberwhale2.png"), cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(frame1.empty()) << "can't load rubberwhale2.png";
UMat uFrame0; frame0.copyTo(uFrame0);
UMat uFrame1; frame1.copyTo(uFrame1);
const Size winSize = Size(21, 21);
const int maxLevel = 3;
const TermCriteria criteria = TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, 0.01);
const int flags = 0;
const float minEigThreshold = 1e-4f;
const double eps = 1.0;
const PyrLKOpticalFlowParams params = GetParam();
const int pointsCount = get<0>(params);
vector<Point2f> pts;
goodFeaturesToTrack(frame0, pts, pointsCount, 0.01, 0.0);
Mat ptsMat(1, static_cast<int>(pts.size()), CV_32FC2, (void *)&pts[0]);
declare.in(uFrame0, uFrame1, WARMUP_READ);
UMat uNextPts, uStatus, uErr;
OCL_TEST_CYCLE()
cv::calcOpticalFlowPyrLK(uFrame0, uFrame1, pts, uNextPts, uStatus, uErr, winSize, maxLevel, criteria, flags, minEigThreshold);
SANITY_CHECK(uNextPts, eps);
}
} } // namespace cvtest::ocl
#endif // HAVE_OPENCL