github.com/kaydxh/golang@v0.0.131/pkg/gocv/cgo/third_path/opencv4/include/opencv2/flann/ground_truth.h (about)

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     4   * Copyright 2008-2009  Marius Muja (mariusm@cs.ubc.ca). All rights reserved.
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    30  
    31  #ifndef OPENCV_FLANN_GROUND_TRUTH_H_
    32  #define OPENCV_FLANN_GROUND_TRUTH_H_
    33  
    34  //! @cond IGNORED
    35  
    36  #include "dist.h"
    37  #include "matrix.h"
    38  
    39  
    40  namespace cvflann
    41  {
    42  
    43  template <typename Distance>
    44  void find_nearest(const Matrix<typename Distance::ElementType>& dataset, typename Distance::ElementType* query, int* matches, int nn,
    45                    int skip = 0, Distance distance = Distance())
    46  {
    47      typedef typename Distance::ResultType DistanceType;
    48      int n = nn + skip;
    49  
    50      std::vector<int> match(n);
    51      std::vector<DistanceType> dists(n);
    52  
    53      dists[0] = distance(dataset[0], query, dataset.cols);
    54      match[0] = 0;
    55      int dcnt = 1;
    56  
    57      for (size_t i=1; i<dataset.rows; ++i) {
    58          DistanceType tmp = distance(dataset[i], query, dataset.cols);
    59  
    60          if (dcnt<n) {
    61              match[dcnt] = (int)i;
    62              dists[dcnt++] = tmp;
    63          }
    64          else if (tmp < dists[dcnt-1]) {
    65              dists[dcnt-1] = tmp;
    66              match[dcnt-1] = (int)i;
    67          }
    68  
    69          int j = dcnt-1;
    70          // bubble up
    71          while (j>=1 && dists[j]<dists[j-1]) {
    72              std::swap(dists[j],dists[j-1]);
    73              std::swap(match[j],match[j-1]);
    74              j--;
    75          }
    76      }
    77  
    78      for (int i=0; i<nn; ++i) {
    79          matches[i] = match[i+skip];
    80      }
    81  }
    82  
    83  
    84  template <typename Distance>
    85  void compute_ground_truth(const Matrix<typename Distance::ElementType>& dataset, const Matrix<typename Distance::ElementType>& testset, Matrix<int>& matches,
    86                            int skip=0, Distance d = Distance())
    87  {
    88      for (size_t i=0; i<testset.rows; ++i) {
    89          find_nearest<Distance>(dataset, testset[i], matches[i], (int)matches.cols, skip, d);
    90      }
    91  }
    92  
    93  
    94  }
    95  
    96  //! @endcond
    97  
    98  #endif //OPENCV_FLANN_GROUND_TRUTH_H_