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Simply count number of faces?

asked 2012-09-28 05:52:14 -0500

cts gravatar image

Hello,

for a halloween project I am looking for a way to simply count the number of faces in a picture given (the picture comes from my webcam, grabbed by the motion tool under linux).

The C example is, well, a little over my head: Could someone kindly point out to me where to change the facedetect.cpp code so as to only return the number of faces found, then exit or exit with returncode 0 if no faces have been found, 1 if >0 faces have been found (which would be even simpler for my usage under bash)?

Thank you very much, also in the same of my hopefully very scared daughter ;)

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1

I would recommend you to start with a simple C/C++ tutorial. Everything else will come along nicely.

sammy gravatar imagesammy ( 2012-09-28 05:56:11 -0500 )edit
1

A simple recipe for Dragon Stew: Step 1: Find a few kilos of well aged dragonmeat...

cts gravatar imagects ( 2012-09-28 06:09:27 -0500 )edit

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answered 2012-09-28 06:25:40 -0500

updated 2012-09-28 06:31:39 -0500

You could try something as simple as this:

//This program outputs the number of faces detected on an image
//It receives the path to an image as a command line argument
//Will print on the standard output the number of faces detected
//Will return 0 if at least 1 face is detected
//Will return 1 if no faces are detected
//Will return 2 if some system call fails

#include <iostream>
#include <string>
#include <opencv2/opencv.hpp>

int main( int argc, char **argv )
{

  if(argc != 2)
  {
    std::cerr << "USE: " << argv[0] << " path-to-image" << std::endl;
    return 2;
  }

  //Location of the classifiers of faces
  //REPLACE IT WITH THE APROPRIATE PATH
  std::string faceCascadeName = "/usr/share/OpenCV-2.3.1/OpenCV/lbpcascades/lbpcascade_frontalface.xml";

  //Create the classifiers
  cv::CascadeClassifier faceCascade;

  //Load the classifiers
  if (!faceCascade.load( faceCascadeName ))
  {
    std::cerr << "Could not load face classifier" << std::endl;
    return 2; 
  }


  //The captured frame
  cv::Mat frame;
  frame = cv::imread(argv[1]);
  if(frame.empty())
  {
    std::cerr << "Could not load image " << argv[1] << std::endl;
    return 2;
  }

  //This will contain the output of the face detector
  std::vector<cv::Rect> faces;

  //Preprocess the image
  cv::Mat frameGray;
  cv::cvtColor( frame, frameGray, CV_BGR2GRAY );
  cv::equalizeHist( frameGray, frameGray );

  //Detect the face
  faceCascade.detectMultiScale( frameGray, faces, 1.1, 2, 0, cv::Size(80,80));

  std::cout << "Number of detected faces: " << faces.size() << std::endl;

  //If no faces are detected return 1
  if (faces.size() == 0) return 1;

  //Number of detected faces was greater than 0.
  return 0;
}

But please, don't scare your daughter too much... BAD DADDY!! ;D

P.S.: I did this on the fly, I don't even know if it compiles. Also, keep in mind that false positives might occur.

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wow. WOW. Yes, it does compile, and yes, it does work. wow. "on the fly"... amazing. Thank you! Btw, your code is more readable to a non-native C speaker like me, so it is a much more suitable "entry point" into learning. If I could give the OpenCV gang a recommendation: Add this to the examples, please.

cts gravatar imagects ( 2012-09-28 06:39:14 -0500 )edit
1

Thank you, you are very kind :)

Martin Peris gravatar imageMartin Peris ( 2012-09-28 23:17:45 -0500 )edit
0

answered 2013-04-25 05:32:53 -0500

mehdi gravatar image

For Linux i found the XML Classifier under another directory /home/myname/opencv_version/data/lbpcascades

thanks

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Asked: 2012-09-28 05:52:14 -0500

Seen: 4,905 times

Last updated: Apr 25 '13