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77 lines
2.8 KiB
77 lines
2.8 KiB
/* |
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* By downloading, copying, installing or using the software you agree to this license. |
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* If you do not agree to this license, do not download, install, |
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* copy or use the software. |
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* |
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* |
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* License Agreement |
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* For Open Source Computer Vision Library |
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* (3 - clause BSD License) |
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* |
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* Redistribution and use in source and binary forms, with or without modification, |
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* are permitted provided that the following conditions are met : |
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* |
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* * Redistributions of source code must retain the above copyright notice, |
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* this list of conditions and the following disclaimer. |
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* |
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* * Redistributions in binary form must reproduce the above copyright notice, |
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* this list of conditions and the following disclaimer in the documentation |
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* and / or other materials provided with the distribution. |
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* |
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* * Neither the names of the copyright holders nor the names of the contributors |
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* may be used to endorse or promote products derived from this software |
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* without specific prior written permission. |
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* |
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* This software is provided by the copyright holders and contributors "as is" and |
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* any express or implied warranties, including, but not limited to, the implied |
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* warranties of merchantability and fitness for a particular purpose are disclaimed. |
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* In no event shall copyright holders or contributors be liable for any direct, |
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* indirect, incidental, special, exemplary, or consequential damages |
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* (including, but not limited to, procurement of substitute goods or services; |
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* loss of use, data, or profits; or business interruption) however caused |
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* and on any theory of liability, whether in contract, strict liability, |
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* or tort(including negligence or otherwise) arising in any way out of |
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* the use of this software, even if advised of the possibility of such damage. |
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*/ |
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#include "perf_precomp.hpp" |
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using std::tr1::tuple; |
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using std::tr1::get; |
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using namespace perf; |
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using namespace testing; |
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using namespace cv; |
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using namespace cv::optflow; |
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typedef tuple<Size, int, int> VarRefParams; |
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typedef TestBaseWithParam<VarRefParams> DenseOpticalFlow_VariationalRefinement; |
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PERF_TEST_P(DenseOpticalFlow_VariationalRefinement, perf, Combine(Values(szQVGA, szVGA), Values(5, 10), Values(5, 10))) |
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{ |
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VarRefParams params = GetParam(); |
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Size sz = get<0>(params); |
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int sorIter = get<1>(params); |
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int fixedPointIter = get<2>(params); |
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Mat frame1(sz, CV_8U); |
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Mat frame2(sz, CV_8U); |
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Mat flow(sz, CV_32FC2); |
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randu(frame1, 0, 255); |
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randu(frame2, 0, 255); |
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flow.setTo(0.0f); |
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cv::setNumThreads(cv::getNumberOfCPUs()); |
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TEST_CYCLE_N(10) |
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{ |
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Ptr<VariationalRefinement> var = createVariationalFlowRefinement(); |
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var->setAlpha(20.0f); |
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var->setGamma(10.0f); |
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var->setDelta(5.0f); |
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var->setSorIterations(sorIter); |
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var->setFixedPointIterations(fixedPointIter); |
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var->calc(frame1, frame2, flow); |
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} |
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SANITY_CHECK_NOTHING(); |
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}
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