struct ImageLabel{
  std::string imagePath;//save图片路径名
  int faceBox[4];//输入点集的最外层包络矩形rect四个参数
  int landmarkPos[2*LandmarkPointsNum];//输入点集

private:
  friend class cereal::access;
  /**
   * Serialises this class using cereal.
   *
   * @param[in] ar The archive to serialise to (or to serialise from).
   */
  template<class Archive>
  void serialize(Archive& ar)
  {
    ar(imagePath, faceBox, landmarkPos);
  }
};

version: 1
n_points: 68
{
446.000 91.000
449.459 119.344
450.957 150.614
460.552 176.986
471.486 202.157
488.087 226.842
506.016 246.438
524.662 263.865
553.315 271.435
578.732 266.260
599.361 248.966
615.947 220.651
627.439 197.999
635.375 179.064
642.063 156.371
647.302 124.753
646.518 92.944
470.271 117.870
486.218 109.415
503.097 114.454
519.714 120.090
533.680 127.609
571.937 123.590
585.702 117.155
602.344 109.070
620.077 103.951
633.964 111.236
554.931 145.072
554.589 161.106
554.658 177.570
554.777 194.295
532.717 197.930
543.637 202.841
555.652 205.483
565.441 202.069
576.368 197.061
487.474 136.436
499.184 132.337
513.781 133.589
527.594 143.047
513.422 144.769
499.117 144.737
579.876 140.815
590.901 130.008
605.648 128.376
618.343 132.671
606.771 140.525
593.466 141.419
519.040 229.040
536.292 221.978
}

void readpic(std::vector<ImageLabel> &Imagelabels){
   cout<<"test readpic"<<endl;

   string filePath = "/Users/anitafang/Downloads/Datasets/300W/300w/01_Indoor/";
  //打开png图片名存储的TXT文件
  ifstream pngfile;
  pngfile.open("/Users/anitafang/Downloads/Datasets/300W/300w/01_Indoor/pnglist.txt");
    if(!pngfile.is_open()){
    cout<<"不能打开文件!"<<endl;
  }
  //ImageLabel* mImageLabel = NULL;//保存图像信息的类
  string line;//读取文件的每一行
  while(getline(pngfile,line)){
    //mImageLabel = new ImageLabel();
    ImageLabel mImageLabel;
    //mImageLabel->imagePath=filePath+line;//将文件全路径保存在 mImageLabel->imagePath
    mImageLabel.imagePath=filePath+line;//将文件全路径保存在 mImageLabel->imagePath
    cout<<line<<endl;
    //得到pts文件路径
    string ress="pts";
    string ptss=filePath+line.replace(11,3,ress);
    cout<<line.replace(11,3,ress)<<endl;
    cout<<ptss<<endl;
    //读取pts文件里面的数据
    std::ifstream LabelsFile(ptss, std::ios::in);
    if(!LabelsFile.is_open())
      return;
   //开始读取pts文件内容
    int index=0;
    vector<Point2f> vp2f;
    char line11[1024]={0};//存放每行数据
    //将文件逐行读取到string linestr中，然后对行的内容进行判断
    while(LabelsFile.getline(line11, sizeof(line11))){
      //从第四行开始把数据写进landmark数组中
      if((index>=3)&&(index<139)){
        string x = "";
        string y = "";
        std::stringstream word(line11);
        word >> x;
        word >> y;
        cout<<atof(x.c_str())<<" "<<atof(y.c_str())<<endl;
        mImageLabel.landmarkPos[index-3] =atof(x.c_str());
        mImageLabel.landmarkPos[index+LandmarkPointsNum-3] =atof(y.c_str());
        
        vp2f.push_back(Point2f(mImageLabel.landmarkPos[index-3],mImageLabel.landmarkPos[index+LandmarkPointsNum-3]));
        cout<<"x:"<<mImageLabel.landmarkPos[index-3]<<" y:"<<mImageLabel.landmarkPos[index+LandmarkPointsNum-3]<<endl;
        
      }
      index++;
      
    }
    
  
  Rect rect = boundingRect(vp2f);

  //根据得到的矩形 输入到facebox中
  mImageLabel.faceBox[0] = rect.x;
  mImageLabel.faceBox[1] = rect.y;
  mImageLabel.faceBox[2] = rect.width;
  mImageLabel.faceBox[3] = rect.height;
  
  cout<<"facebox"<<mImageLabel.faceBox[0]<<mImageLabel.faceBox[1]<<mImageLabel.faceBox[2]<<mImageLabel.faceBox[3]<<endl;
    
     // close file
  LabelsFile.close();
    //free the object
  Imagelabels.push_back(mImageLabel);

  //mImageLabel == NULL;
    
  }
}

<?xml version='1.0' encoding='ISO-8859-1'?>
<?xml-stylesheet type='text/xsl' href='image_metadata_stylesheet.xsl'?>
<dataset>
<name>iBUG face point dataset - All images</name>
<comment>This folder contains data downloaded from:
http://ibug.doc.ic.ac.uk/resources/facial-point-annotations/

The dataset is actually a combination of the AFW, HELEN, iBUG, and LFPW
face landmark datasets. But the iBUG people have aggregated it all together
and gave them a consistent set of 68 landmarks across all the images, thereby
turning it into one big dataset.

Note that we have adjusted the coordinates of the points from the MATLAB convention
of 1 being the first index to 0 being the first index. So the coordinates in this
file are in the normal C 0-indexed coordinate system.

We have also added left right flips (i.e. mirrors) of each image and also
appropriately flipped the landmarks. This doubles the size of the dataset.
Each of the mirrored versions of the images has a filename that ends with
_mirror.jpg.

Finally, note that the bounding boxes are from dlib's default face detector. For the
faces the detector failed to detect, we guessed at what the bounding box would have been
had the detector found it and used that.</comment>
<images>
 <image file='afw/1051618982_1.jpg'>
  <box top='206' left='469' width='216' height='216'>
   <part name='00' x='482' y='267'/>
   <part name='01' x='483' y='298'/>
   <part name='02' x='487' y='329'/>
   <part name='03' x='491' y='358'/>
   <part name='04' x='503' y='386'/>
   <part name='05' x='523' y='409'/>
   <part name='06' x='543' y='428'/>
   <part name='07' x='565' y='442'/>
   <part name='08' x='591' y='447'/>
   <part name='09' x='620' y='443'/>
   <part name='10' x='647' y='429'/>
   <part name='11' x='671' y='409'/>
   <part name='12' x='688' y='385'/>
   <part name='13' x='699' y='359'/>
   <part name='14' x='704' y='332'/>
   <part name='15' x='707' y='305'/>
   <part name='16' x='708' y='277'/>
   <part name='17' x='502' y='250'/>
   <part name='18' x='518' y='237'/>
   <part name='19' x='537' y='234'/>
   <part name='20' x='557' y='236'/>
   <part name='21' x='575' y='243'/>
   <part name='22' x='619' y='243'/>
   <part name='23' x='639' y='237'/>
   <part name='24' x='659' y='234'/>
   <part name='25' x='679' y='238'/>
   <part name='26' x='693' y='250'/>
   <part name='27' x='596' y='268'/>
   <part name='28' x='595' y='287'/>
   <part name='29' x='594' y='305'/>
   <part name='30' x='593' y='324'/>
   <part name='31' x='570' y='336'/>
   <part name='32' x='581' y='338'/>
   <part name='33' x='593' y='342'/>
   <part name='34' x='605' y='338'/>
   <part name='35' x='615' y='336'/>
   <part name='36' x='523' y='272'/>
   <part name='37' x='536' y='263'/>
   <part name='38' x='551' y='263'/>
   <part name='39' x='564' y='277'/>
   <part name='40' x='550' y='277'/>
   <part name='41' x='535' y='276'/>
   <part name='42' x='626' y='279'/>
   <part name='43' x='642' y='265'/>
   <part name='44' x='657' y='267'/>
   <part name='45' x='670' y='276'/>
   <part name='46' x='658' y='280'/>
   <part name='47' x='642' y='279'/>
   <part name='48' x='544' y='364'/>
   <part name='49' x='565' y='360'/>
   <part name='50' x='580' y='357'/>
   <part name='51' x='591' y='360'/>
   <part name='52' x='603' y='358'/>
   <part name='53' x='621' y='361'/>
   <part name='54' x='641' y='366'/>
   <part name='55' x='621' y='382'/>
   <part name='56' x='603' y='385'/>
   <part name='57' x='590' y='384'/>
   <part name='58' x='579' y='383'/>
   <part name='59' x='563' y='378'/>
   <part name='60' x='552' y='366'/>
   <part name='61' x='580' y='370'/>
   <part name='62' x='591' y='370'/>
   <part name='63' x='603' y='371'/>
   <part name='64' x='634' y='369'/>
   <part name='65' x='603' y='371'/>
   <part name='66' x='591' y='370'/>
   <part name='67' x='580' y='370'/>
  </box>
 </image>
 <image file='afw/111076519_1.jpg'>
  <box top='724' left='1122' width='150' height='150'>
   <part name='00' x='1126' y='765'/>
   <part name='01' x='1123' y='784'/>
   <part name='02' x='1123' y='804'/>
   <part name='03' x='1124' y='822'/>
   <part name='04' x='1131' y='839'/>
   <part name='05' x='1142' y='853'/>
   <part name='06' x='1157' y='865'/>
   <part name='07' x='1172' y='874'/>
   <part name='08' x='1190' y='878'/>
   <part name='09' x='1208' y='878'/>
   <part name='10' x='1225' y='873'/>
   <part name='11' x='1238' y='862'/>
   <part name='12' x='1249' y='846'/>
   <part name='13' x='1256' y='829'/>
   <part name='14' x='1261' y='810'/>
   <part name='15' x='1263' y='792'/>
   <part name='16' x='1264' y='774'/>
   <part name='17' x='1148' y='749'/>
   <part name='18' x='1160' y='745'/>
   <part name='19' x='1171' y='744'/>
   <part name='20' x='1183' y='748'/>
   <part name='21' x='1194' y='753'/>
   <part name='22' x='1227' y='756'/>
   <part name='23' x='1236' y='753'/>
   <part name='24' x='1244' y='753'/>
   <part name='25' x='1251' y='754'/>
   <part name='26' x='1256' y='759'/>
   <part name='27' x='1210' y='769'/>
   <part name='28' x='1210' y='779'/>
   <part name='29' x='1210' y='790'/>
   <part name='30' x='1209' y='800'/>
   <part name='31' x='1187' y='808'/>
   <part name='32' x='1196' y='811'/>
   <part name='33' x='1205' y='814'/>
   <part name='34' x='1212' y='813'/>
   <part name='35' x='1218' y='812'/>
   <part name='36' x='1159' y='766'/>
   <part name='37' x='1167' y='763'/>
   <part name='38' x='1176' y='764'/>
   <part name='39' x='1183' y='770'/>
   <part name='40' x='1175' y='770'/>
   <part name='41' x='1166' y='769'/>
   <part name='42' x='1225' y='776'/>
   <part name='43' x='1235' y='773'/>
   <part name='44' x='1243' y='774'/>
   <part name='45' x='1248' y='777'/>
   <part name='46' x='1241' y='779'/>
   <part name='47' x='1233' y='779'/>
   <part name='48' x='1160' y='825'/>
   <part name='49' x='1176' y='820'/>
   <part name='50' x='1190' y='822'/>
   <part name='51' x='1199' y='824'/>
   <part name='52' x='1209' y='825'/>
   <part name='53' x='1221' y='827'/>
   <part name='54' x='1229' y='833'/>
   <part name='55' x='1218' y='847'/>
   <part name='56' x='1205' y='852'/>
   <part name='57' x='1194' y='851'/>
   <part name='58' x='1184' y='849'/>
   <part name='59' x='1171' y='840'/>
   <part name='60' x='1165' y='827'/>
   <part name='61' x='1189' y='828'/>
   <part name='62' x='1199' y='830'/>
   <part name='63' x='1208' y='831'/>
   <part name='64' x='1225' y='834'/>
   <part name='65' x='1206' y='844'/>
   <part name='66' x='1196' y='844'/>
   <part name='67' x='1186' y='841'/>
  </box>
 </image>
 <image file='afw/111076519_2.jpg'>
  <box top='590' left='1028' width='180' height='180'>
   <part name='00' x='1050' y='620'/>
   <part name='01' x='1046' y='641'/>
   <part name='02' x='1040' y='663'/>

void ReadLabelsFromFile(std::vector<ImageLabel> &Imagelabels, std::string Path = "labels_ibug_300W.xml"){
  std::string ParentPath(trainFilePath);
  std::ifstream LabelsFile(ParentPath+Path, std::ios::in);
  if(!LabelsFile.is_open())
    return;
  std::string linestr;
  while(std::getline(LabelsFile, linestr)){
    linestr = trim(linestr);
    linestr = replace(linestr, "</", "");
    linestr = replace(linestr, "/>", "");
    linestr = replace(linestr, "<", "");
    linestr = replace(linestr, ">", "");
    linestr = replace(linestr, "'", "");
 
    std::vector<std::string> strNodes = split(linestr, " ");
    static ImageLabel* mImageLabel = NULL;
    switch (strNodes.size()) {
    case 1:
      if(strNodes[0] == "image"){
        Imagelabels.push_back(*mImageLabel);
        delete mImageLabel;
      }
      break;
    case 2:
      if(strNodes[0] == "image"){
        mImageLabel = new ImageLabel();
        mImageLabel->imagePath = ParentPath + split(strNodes[1], "=")[1];
//        std::cout << mImageLabel->imagePath << std::endl;
//        cv::Mat Image = cv::imread(mImageLabel->imagePath);
//        cv::imshow("Image", Image);
//        cv::waitKey(0);
      }
      break;
    case 5:
      if(strNodes[0] == "box"){
        mImageLabel->faceBox[0] = atoi(split(strNodes[1], "=")[1].data());
        mImageLabel->faceBox[1] = atoi(split(strNodes[2], "=")[1].data());
        mImageLabel->faceBox[2] = atoi(split(strNodes[3], "=")[1].data());
        mImageLabel->faceBox[3] = atoi(split(strNodes[4], "=")[1].data());
      }
      break;
    case 4:
      if(strNodes[0] == "part"){
        int index = atoi(split(strNodes[1], "=")[1].data());
        mImageLabel->landmarkPos[index] = atoi(split(strNodes[2], "=")[1].data());
        mImageLabel->landmarkPos[index+LandmarkPointsNum] = atoi(split(strNodes[3], "=")[1].data());
      }
      break;
    default:
      break;
    }
  }
  LabelsFile.close();
}