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3rdparty/opencv-4.5.4/modules/stitching/test/test_matchers.cpp 4.75 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.
  //
  //
  //                        Intel License Agreement
  //                For Open Source Computer Vision Library
  //
  // Copyright (C) 2000, Intel Corporation, all rights reserved.
  // Third party copyrights are property of their respective owners.
  //
  // 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 Intel Corporation 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 "test_precomp.hpp"
  
  namespace opencv_test { namespace {
  
  #if defined(HAVE_OPENCV_XFEATURES2D) && defined(OPENCV_ENABLE_NONFREE)
  
  TEST(SurfFeaturesFinder, CanFindInROIs)
  {
      Ptr<Feature2D> finder = xfeatures2d::SURF::create();
      Mat img  = imread(string(cvtest::TS::ptr()->get_data_path()) + "cv/shared/lena.png");
  
      vector<Rect> rois;
      rois.push_back(Rect(0, 0, img.cols / 2, img.rows / 2));
      rois.push_back(Rect(img.cols / 2, img.rows / 2, img.cols - img.cols / 2, img.rows - img.rows / 2));
  
      // construct mask
      Mat mask = Mat::zeros(img.size(), CV_8U);
      for (const Rect &roi : rois)
      {
          Mat(mask, roi) = 1;
      }
  
      detail::ImageFeatures roi_features;
      detail::computeImageFeatures(finder, img, roi_features, mask);
  
      int tl_rect_count = 0, br_rect_count = 0, bad_count = 0;
      for (const auto &keypoint : roi_features.keypoints)
      {
          if (rois[0].contains(keypoint.pt))
              tl_rect_count++;
          else if (rois[1].contains(keypoint.pt))
              br_rect_count++;
          else
              bad_count++;
      }
  
      EXPECT_GT(tl_rect_count, 0);
      EXPECT_GT(br_rect_count, 0);
      EXPECT_EQ(bad_count, 0);
  }
  
  #endif // HAVE_OPENCV_XFEATURES2D && OPENCV_ENABLE_NONFREE
  
  TEST(ParallelFeaturesFinder, IsSameWithSerial)
  {
      Ptr<Feature2D> para_finder = ORB::create();
      Ptr<Feature2D> serial_finder = ORB::create();
      Mat img  = imread(string(cvtest::TS::ptr()->get_data_path()) + "stitching/a3.png", IMREAD_GRAYSCALE);
  
      detail::ImageFeatures serial_features;
      detail::computeImageFeatures(serial_finder, img, serial_features);
  
      vector<Mat> imgs(50, img);
      vector<detail::ImageFeatures> para_features(imgs.size());
      detail::computeImageFeatures(para_finder, imgs, para_features);  // FIXIT This call doesn't use parallel_for_()
  
      // results must be the same
      Mat serial_descriptors;
      serial_features.descriptors.copyTo(serial_descriptors);
      for(size_t i = 0; i < para_features.size(); ++i)
      {
          SCOPED_TRACE(cv::format("i=%zu", i));
          EXPECT_EQ(serial_descriptors.size(), para_features[i].descriptors.size());
  #if 0 // FIXIT ORB descriptors are not bit-exact (perhaps due internal parallel_for usage)
          ASSERT_EQ(0, cv::norm(u_serial_descriptors, para_features[i].descriptors, NORM_L1))
              << "serial_size=" << u_serial_descriptors.size()
              << " par_size=" << para_features[i].descriptors.size()
              << endl << u_serial_descriptors.getMat(ACCESS_READ)
              << endl << endl << para_features[i].descriptors.getMat(ACCESS_READ);
  #endif
          EXPECT_EQ(serial_features.img_size, para_features[i].img_size);
          EXPECT_EQ(serial_features.keypoints.size(), para_features[i].keypoints.size());
      }
  }
  
  }} // namespace