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103 lines
4.0 KiB
103 lines
4.0 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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void MakeArtificialExample(Mat &dst_frame1, Mat &dst_frame2); |
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typedef tuple<String, Size> DISParams; |
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typedef TestBaseWithParam<DISParams> DenseOpticalFlow_DIS; |
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PERF_TEST_P(DenseOpticalFlow_DIS, perf, |
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Combine(Values("PRESET_ULTRAFAST", "PRESET_FAST", "PRESET_MEDIUM"), Values(szVGA, sz720p, sz1080p))) |
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{ |
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DISParams params = GetParam(); |
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// use strings to print preset names in the perf test results: |
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String preset_string = get<0>(params); |
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int preset = DISOpticalFlow::PRESET_FAST; |
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if (preset_string == "PRESET_ULTRAFAST") |
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preset = DISOpticalFlow::PRESET_ULTRAFAST; |
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else if (preset_string == "PRESET_FAST") |
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preset = DISOpticalFlow::PRESET_FAST; |
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else if (preset_string == "PRESET_MEDIUM") |
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preset = DISOpticalFlow::PRESET_MEDIUM; |
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Size sz = get<1>(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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MakeArtificialExample(frame1, frame2); |
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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<DenseOpticalFlow> algo = createOptFlow_DIS(preset); |
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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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void MakeArtificialExample(Mat &dst_frame1, Mat &dst_frame2) |
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{ |
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int src_scale = 2; |
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int OF_scale = 6; |
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double sigma = dst_frame1.cols / 300; |
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Mat tmp(Size(dst_frame1.cols / (int)pow(2, src_scale), dst_frame1.rows / (int)pow(2, src_scale)), CV_8U); |
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randu(tmp, 0, 255); |
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resize(tmp, dst_frame1, dst_frame1.size(), 0.0, 0.0, INTER_LINEAR); |
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resize(tmp, dst_frame2, dst_frame2.size(), 0.0, 0.0, INTER_LINEAR); |
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Mat displacement_field(Size(dst_frame1.cols / (int)pow(2, OF_scale), dst_frame1.rows / (int)pow(2, OF_scale)), |
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CV_32FC2); |
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randn(displacement_field, 0.0, sigma); |
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resize(displacement_field, displacement_field, dst_frame2.size(), 0.0, 0.0, INTER_CUBIC); |
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for (int i = 0; i < displacement_field.rows; i++) |
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for (int j = 0; j < displacement_field.cols; j++) |
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displacement_field.at<Vec2f>(i, j) += Vec2f((float)j, (float)i); |
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remap(dst_frame2, dst_frame2, displacement_field, Mat(), INTER_LINEAR, BORDER_REPLICATE); |
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}
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