gistfile1.txt

 #include "opencv2/objdetect/objdetect.hpp"
 #include "opencv2/highgui/highgui.hpp"
 #include "opencv2/imgproc/imgproc.hpp"

 #include <iostream>
 #include <stdio.h>

 using namespace std;
 using namespace cv;

 /** Function Headers */
 void detectAndDisplay( Mat frame, const char * );

 /** Global variables */
 CascadeClassifier face_cascade;
 RNG rng(12345);

 /** @function main */
 int main( int argc, const char** argv )
 {

   String face_cascade_name = argv[1];

   Mat frame;

   if (argc < 2) {
	   cout << "Please give file as parameter" << endl;
	   return -1;
   }

   //-- 1. Load the cascades
   if( !face_cascade.load( face_cascade_name ) ){ printf("--(!)Error loading\n"); return -1; };

   frame = imread( argv[2]);

   //-- 3. Apply the classifier to the frame
   if( !frame.empty() )
   { detectAndDisplay( frame, argv[3] ); }
   else
   { printf(" --(!) No image! -- Break!");  return -1; }

 }

/** @function detectAndDisplay */
void detectAndDisplay( Mat frame , const char *aExtra)
{
  std::vector<Rect> faces;
  Mat frame_gray;

  cvtColor( frame, frame_gray, CV_BGR2GRAY );
  equalizeHist( frame_gray, frame_gray );

  //-- Detect faces
  face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0|CV_HAAR_SCALE_IMAGE, Size(30, 30) );

  for( int i = 0; i < faces.size(); i++ )
  {
    Point center( faces[i].x + faces[i].width*0.5, faces[i].y + faces[i].height*0.5 );
	cout << center.x - (faces[i].width / 2) <<"," << center.y - (faces[i].height / 2) << "," << faces[i].width << "," << faces[i].height << endl;
	cout << aExtra << endl;
    ellipse( frame, center, Size( faces[i].width*0.5, faces[i].height*0.5), 0, 0, 360, Scalar( 255, 0, 255 ), 4, 8, 0 );

    Mat faceROI = frame_gray( faces[i] );
    std::vector<Rect> eyes;
  }
  cout << "###" << endl;
 }