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70 lines
2.5 KiB
C++
70 lines
2.5 KiB
C++
/*
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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> DFParams;
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typedef TestBaseWithParam<DFParams> DenseOpticalFlow_DeepFlow;
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PERF_TEST_P(DenseOpticalFlow_DeepFlow, perf, Values(szVGA, sz720p))
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{
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DFParams params = GetParam();
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Size sz = get<0>(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;
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randu(frame1, 0, 255);
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randu(frame2, 0, 255);
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cv::setNumThreads(cv::getNumberOfCPUs());
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TEST_CYCLE_N(1)
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{
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Ptr<DenseOpticalFlow> algo = createOptFlow_DeepFlow();
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algo->calc(frame1, frame2, flow);
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}
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SANITY_CHECK_NOTHING();
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}
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