eye landmark points

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Hi

I'm using facial landmark detector (dlib) to detect eye blinks . How the eye landmarks can be imported to a file ?

I need to use eye landmarks to calculate the ration between height and width of eye and to use SVM to classify blinks

Update : when I try to write landmark point to a file , different valuses are saved than the displayed landmarks in terminal windows , how to fix ?

Thanks

 #include <dlib/opencv.h>
 #include <opencv2/highgui/highgui.hpp>
 #include <dlib/image_processing/frontal_face_detector.h>
 #include <dlib/image_processing/render_face_detections.h>
 #include <dlib/image_processing.h>
 #include <dlib/gui_widgets.h>

using namespace dlib;
using namespace std;

int main()
{
try
{
    cv::VideoCapture cap(0);
    if (!cap.isOpened())
    {
        cerr << "Unable to connect to camera" << endl;
        return 1;
    }

    image_window win;
    frontal_face_detector detector = get_frontal_face_detector();
    shape_predictor pose_model;
    deserialize("shape_predictor_68_face_landmarks.dat") >> pose_model;

    while(!win.is_closed())
    {
        cv::Mat temp;
        cap >> temp;

        cv_image<bgr_pixel> cimg(temp);

        // Detect faces 
        std::vector<rectangle> faces = detector(cimg);
        // Find the pose of each face.
        std::vector<full_object_detection> shapes;
           ofstream outputfile;
           outputfile.open("data1.csv");

        for (unsigned long i = 0; i < faces.size(); ++i)
      {  

               full_object_detection shape = pose_model(cimg, faces[i]);
               cout << "number of parts: "<< shape.num_parts() << endl;

        cout << "Eye Landmark points for right eye : "<< endl;
        cout << "pixel position of 36 part:  " << shape.part(36) << endl;
        cout << "pixel position of 37 part: " << shape.part(37) << endl;
        cout << "pixel position of 38 part:  " << shape.part(38) << endl;
        cout << "pixel position of 39 part: " << shape.part(39) << endl;
        cout << "pixel position of 40 part: " << shape.part(40) << endl;
        cout << "pixel position of 41 part: " << shape.part(41) << endl;

        cout << endl;

        cout << "Eye Landmark points for left eye : "<< endl;

        cout << "pixel position of 42 part:  " << shape.part(42) << endl;
        cout << "pixel position of 43 part: " << shape.part(43) << endl;
        cout << "pixel position of 44 part:  " << shape.part(44) << endl;
        cout << "pixel position of 45 part: " << shape.part(45) << endl;
        cout << "pixel position of 46 part: " << shape.part(46) << endl;
        cout << "pixel position of 47 part: " << shape.part(47) << endl;

        double P37_41_x = shape.part(37).x() - shape.part(41).x();
        double P37_41_y=  shape.part(37).y() -shape.part(41).y() ;

        double p37_41_sqrt=sqrt((P37_41_x * P37_41_x) + (P37_41_y * P37_41_y));


       double P38_40_x = shape.part(38).x() - shape.part(40).x();
       double P38_40_y = shape.part(38).y() - shape.part(40).y();

       double p38_40_sqrt=sqrt((P38_40_x * P38_40_x) + (P38_40_y * P38_40_y));



      double P36_39_x = shape.part(36).x() - shape.part(39).x();  
      double P36_39_y = shape.part(36).y() - shape.part(39).y();

      double p36_39_sqrt=sqrt((P36_39_x * P36_39_x) + (P36_39_y * P36_39_y));



     double EAR= p37_41_sqrt +  p38_40_sqrt/2* p36_39_sqrt;


    cout << "EAR value =  " << EAR << endl;


  shapes.push_back(pose_model(cimg, faces[i]));


   const full_object_detection& d = shapes[0];

              }

        win.clear_overlay();
        win.set_image(cimg);
        win.add_overlay(render_face_detections(shapes));
    }
}
catch(serialization_error& e)
{
    cout << "You need dlib's default face landmarking model file to run this example." << endl;
    cout << "You can get it from the following URL: " << endl;
    cout << "   http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2" << endl;
    cout << endl << e.what() << endl;
}
catch(exception& e)
{
    cout << e.what() << endl;
}
 }