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3rdparty/opencv-4.5.4/modules/video/perf/opencl/perf_optflow_farneback.cpp 4.49 KB
f4334277   Hu Chunming   提交3rdparty
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  /*M///////////////////////////////////////////////////////////////////////////////////////
  //
  //  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
  //
  //  By downloading, copying, installing or using the software you agree to this license.
  //  If you do not agree to this license, do not download, install,
  //  copy or use the software.
  //
  //
  //                           License Agreement
  //                For Open Source Computer Vision Library
  //
  // Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
  // Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
  // Third party copyrights are property of their respective owners.
  //
  // @Authors
  //    Fangfang Bai, fangfang@multicorewareinc.com
  //    Jin Ma,       jin@multicorewareinc.com
  //
  // Redistribution and use in source and binary forms, with or without modification,
  // are permitted provided that the following conditions are met:
  //
  //   * Redistribution's of source code must retain the above copyright notice,
  //     this list of conditions and the following disclaimer.
  //
  //   * Redistribution's in binary form must reproduce the above copyright notice,
  //     this list of conditions and the following disclaimer in the documentation
  //     and/or other materials provided with the distribution.
  //
  //   * The name of the copyright holders may not be used to endorse or promote products
  //     derived from this software without specific prior written permission.
  //
  // This software is provided by the copyright holders and contributors as is and
  // any express or implied warranties, including, but not limited to, the implied
  // warranties of merchantability and fitness for a particular purpose are disclaimed.
  // In no event shall the Intel Corporation or contributors be liable for any direct,
  // indirect, incidental, special, exemplary, or consequential damages
  // (including, but not limited to, procurement of substitute goods or services;
  // loss of use, data, or profits; or business interruption) however caused
  // and on any theory of liability, whether in contract, strict liability,
  // or tort (including negligence or otherwise) arising in any way out of
  // the use of this software, even if advised of the possibility of such damage.
  //
  //M*/
  
  #include "../perf_precomp.hpp"
  #include "opencv2/ts/ocl_perf.hpp"
  
  #ifdef HAVE_OPENCL
  
  namespace opencv_test {
  namespace ocl {
  
  ///////////// FarnebackOpticalFlow ////////////////////////
  CV_ENUM(farneFlagType, 0, OPTFLOW_FARNEBACK_GAUSSIAN)
  
  typedef tuple< tuple<int, double>, farneFlagType, bool > FarnebackOpticalFlowParams;
  typedef TestBaseWithParam<FarnebackOpticalFlowParams> FarnebackOpticalFlowFixture;
  
  OCL_PERF_TEST_P(FarnebackOpticalFlowFixture, FarnebackOpticalFlow,
                  ::testing::Combine(
                      ::testing::Values(
                                        make_tuple<int, double>(5, 1.1),
                                        make_tuple<int, double>(7, 1.5)
                                       ),
                      farneFlagType::all(),
                      ::testing::Bool()
                      )
                  )
  {
      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";
  
      const Size srcSize = frame0.size();
  
      const int numLevels = 5;
      const int winSize = 13;
      const int numIters = 10;
  
      const FarnebackOpticalFlowParams params = GetParam();
      const tuple<int, double> polyParams = get<0>(params);
      const int polyN = get<0>(polyParams);
      const double polySigma = get<1>(polyParams);
      const double pyrScale = 0.5;
      int flags = get<1>(params);
      const bool useInitFlow = get<2>(params);
      const double eps = 0.1;
  
      UMat uFrame0; frame0.copyTo(uFrame0);
      UMat uFrame1; frame1.copyTo(uFrame1);
      UMat uFlow(srcSize, CV_32FC2);
      declare.in(uFrame0, uFrame1, WARMUP_READ).out(uFlow, WARMUP_READ);
      if (useInitFlow)
      {
          cv::calcOpticalFlowFarneback(uFrame0, uFrame1, uFlow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags);
          flags |= OPTFLOW_USE_INITIAL_FLOW;
      }
  
      OCL_TEST_CYCLE()
              cv::calcOpticalFlowFarneback(uFrame0, uFrame1, uFlow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags);
  
  
      SANITY_CHECK(uFlow, eps, ERROR_RELATIVE);
  }
  
  } } // namespace opencv_test::ocl
  
  #endif // HAVE_OPENCL