Oxford building dataset数据集计算正确相关图像ground truth的C++代码

#include <fstream>
#include <iostream>
#include <set>
#include <string>
#include <vector>

using namespace std;

vector<string>
load_list(const string& fname)
{
  vector<string> ret;
  ifstream fobj(fname.c_str());
  if (!fobj.good()) { cerr << "File " << fname << " not found!\n"; exit(-1); }
  string line;
  while (getline(fobj, line)) {
    ret.push_back(line);
  }
  return ret;
}

template<class T>
set<T> vector_to_set(const vector<T>& vec)
{ return set<T>(vec.begin(), vec.end()); }

float
compute_ap(const set<string>& pos, const set<string>& amb, const vector<string>& ranked_list)
{
  float old_recall = 0.0;
  float old_precision = 1.0;
  float ap = 0.0;
  
  size_t intersect_size = 0;
  size_t i = 0;
  size_t j = 0;
  for ( ; i<ranked_list.size(); ++i) {
    if (amb.count(ranked_list[i])) continue;
    if (pos.count(ranked_list[i])) intersect_size++;

    float recall = intersect_size / (float)pos.size();
    float precision = intersect_size / (j + 1.0);

    ap += (recall - old_recall)*((old_precision + precision)/2.0);

    old_recall = recall;
    old_precision = precision;
    j++;
  }
  return ap;
}

int
main(int argc, char** argv)
{
  if (argc != 3) {
    cout << "Usage: ./compute_ap [GROUNDTRUTH QUERY] [RANKED LIST]\n";
    return -1;
  }

  string gtq = argv[1];

  vector<string> ranked_list = load_list(argv[2]);
  set<string> good_set = vector_to_set( load_list(gtq + "_good.txt") );
  set<string> ok_set = vector_to_set( load_list(gtq + "_ok.txt") );
  set<string> junk_set = vector_to_set( load_list(gtq + "_junk.txt") );

  set<string> pos_set;
  pos_set.insert(good_set.begin(), good_set.end());
  pos_set.insert(ok_set.begin(), ok_set.end());

  float ap = compute_ap(pos_set, junk_set, ranked_list);
  
  cout << ap << "\n";

  return 0;
}

from: http://www.robots.ox.ac.uk/~vgg/data/oxbuildings/compute_ap.cpp

http://www.robots.ox.ac.uk/~vgg/data/oxbuildings/