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Trying to Detect Face

I am trying to detect faces but cascade file will not load: I have set path correctly and in addition added files to all folders related to C++ program I also tried adding the files in Visual Studio but that did not work either... I am running windows 8.1, VS2013, OpenCV249 and 64bit configuration. Code:(copied from http://docs.opencv.org/doc/tutorials/objdetect/cascade_classifier/cascade_classifier.html#cascade-classifier)

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 );

/** Global variables */ String face_cascade_name = "haarcascade_frontalface_alt.xml"; String eyes_cascade_name = "haarcascade_eye_tree_eyeglasses.xml"; CascadeClassifier face_cascade; CascadeClassifier eyes_cascade; string window_name = "Capture - Face detection"; RNG rng(12345);

/* @function main */ int main( int argc, const char* argv ) { CvCapture* capture; Mat frame;

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

//-- 2. Read the video stream capture = cvCaptureFromCAM( -1 ); if( capture ) { while( true ) { frame = cvQueryFrame( capture );

//-- 3. Apply the classifier to the frame if( !frame.empty() ) { detectAndDisplay( frame ); } else { printf(" --(!) No captured frame -- Break!"); break; }

   int c = waitKey(10);
   if( (char)c == 'c' ) { break; }
  }

} return 0; }

/** @function detectAndDisplay */ void detectAndDisplay( Mat frame ) { 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( size_t i = 0; i < faces.size(); i++ ) { Point center( faces[i].x + faces[i].width0.5, faces[i].y + faces[i].height0.5 ); ellipse( frame, center, Size( faces[i].width0.5, faces[i].height0.5), 0, 0, 360, Scalar( 255, 0, 255 ), 4, 8, 0 );

Mat faceROI = frame_gray( faces[i] );
std::vector<Rect> eyes;

//-- In each face, detect eyes
eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CV_HAAR_SCALE_IMAGE, Size(30, 30) );

for( size_t j = 0; j < eyes.size(); j++ )
 {
   Point center( faces[i].x + eyes[j].x + eyes[j].width*0.5, faces[i].y + eyes[j].y + eyes[j].height*0.5 );
   int radius = cvRound( (eyes[j].width + eyes[j].height)*0.25 );
   circle( frame, center, radius, Scalar( 255, 0, 0 ), 4, 8, 0 );
 }

} //-- Show what you got imshow( window_name, frame ); }

I am a ChemE that is interested in learning CV in my spare time as a hobby so that is why I cam copying code any trying to learn that way. Any help is appreciated

click to hide/show revision 2
put the code in code format, sorry...

updated 2014-11-06 19:44:05 -0600

Trying to Detect Face

I am trying to detect faces but cascade file will not load: I have set path correctly and in addition added files to all folders related to C++ program I also tried adding the files in Visual Studio but that did not work either... I am running windows 8.1, VS2013, OpenCV249 and 64bit configuration. Code:(copied from http://docs.opencv.org/doc/tutorials/objdetect/cascade_classifier/cascade_classifier.html#cascade-classifier)

include "opencv2/objdetect/objdetect.hpp"

#include "opencv2/objdetect/objdetect.hpp"
 #include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
 
"opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <stdio.h>
 
<stdio.h>
using namespace std;
using namespace cv;
 
cv;
/** Function Headers */
void detectAndDisplay( Mat frame );
 
);
/** Global variables */
String face_cascade_name = "haarcascade_frontalface_alt.xml";
String eyes_cascade_name = "haarcascade_eye_tree_eyeglasses.xml";
CascadeClassifier face_cascade;
CascadeClassifier eyes_cascade;
string window_name = "Capture - Face detection";
RNG rng(12345);
 
/* rng(12345);
/** @function main */
int main( int argc, const char* char** argv )
{
CvCapture* capture;
Mat frame;
 
frame;
//-- 1. Load the cascades
if( !face_cascade.load( face_cascade_name ) ){ printf("--(!)Error loading\n"); return -1; };
if( !eyes_cascade.load( eyes_cascade_name ) ){ printf("--(!)Error loading\n"); return -1; };
 
};
//-- 2. Read the video stream
capture = cvCaptureFromCAM( -1 );
if( capture )
{
while( true )
{
frame = cvQueryFrame( capture );
 
);
//-- 3. Apply the classifier to the frame
if( !frame.empty() )
{ detectAndDisplay( frame ); }
else
{ printf(" --(!) No captured frame -- Break!"); break; }
 
}
 int c = waitKey(10);
  if( (char)c == 'c' ) { break; }
}

 
 }
}
return 0;
}
 
}
/** @function detectAndDisplay */
void detectAndDisplay( Mat frame )
{
std::vector<rect> std::vector<Rect> faces;
Mat frame_gray;
 
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( size_t i = 0; i < faces.size(); i++ )
{
Point center( faces[i].x + faces[i].width0.5, faces[i].width*0.5, faces[i].y + faces[i].height0.5 faces[i].height*0.5 );
ellipse( frame, center, Size( faces[i].width0.5, faces[i].height0.5), 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;
 //-- In each face, detect eyes
 eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CV_HAAR_SCALE_IMAGE, Size(30, 30) );
 for( size_t j = 0; j < eyes.size(); j++ )
 {
  Point center( faces[i].x + eyes[j].x + eyes[j].width*0.5, faces[i].y + eyes[j].y + eyes[j].height*0.5 );
 int radius = cvRound( (eyes[j].width + eyes[j].height)*0.25 );
  circle( frame, center, radius, Scalar( 255, 0, 0 ), 4, 8, 0 );
}

 
 }
}
//-- Show what you got
imshow( window_name, frame );
}
}

I am a ChemE that is interested in learning CV in my spare time as a hobby so that is why I cam copying code any trying to learn that way. Any help is appreciated

Trying to Detect Face

I am trying to detect faces but cascade file will not load: I have set path correctly and in addition added files to all folders related to C++ program I also tried adding the files in Visual Studio but that did not work either... I am running windows 8.1, VS2013, OpenCV249 and 64bit configuration. Code:(copied from http://docs.opencv.org/doc/tutorials/objdetect/cascade_classifier/cascade_classifier.html#cascade-classifier)

#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 );

 /** Global variables */
 String face_cascade_name = "haarcascade_frontalface_alt.xml";
 String eyes_cascade_name = "haarcascade_eye_tree_eyeglasses.xml";
 CascadeClassifier face_cascade;
 CascadeClassifier eyes_cascade;
 string window_name = "Capture - Face detection";
 RNG rng(12345);

 /** @function main */
 int main( int argc, const char** argv )
 {
   CvCapture* capture;
   Mat frame;

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

   //-- 2. Read the video stream
   capture = cvCaptureFromCAM( -1 );
   if( capture )
   {
     while( true )
     {
   frame = cvQueryFrame( capture );

   //-- 3. Apply the classifier to the frame
       if( !frame.empty() )
       { detectAndDisplay( frame ); }
       else
       { printf(" --(!) No captured frame -- Break!"); break; }

       int c = waitKey(10);
       if( (char)c == 'c' ) { break; }
      }
   }
   return 0;
 }

/** @function detectAndDisplay */
void detectAndDisplay( Mat frame )
{
  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( size_t i = 0; i < faces.size(); i++ )
  {
    Point center( faces[i].x + faces[i].width*0.5, faces[i].y + faces[i].height*0.5 );
    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;

    //-- In each face, detect eyes
    eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CV_HAAR_SCALE_IMAGE, Size(30, 30) );

    for( size_t j = 0; j < eyes.size(); j++ )
     {
       Point center( faces[i].x + eyes[j].x + eyes[j].width*0.5, faces[i].y + eyes[j].y + eyes[j].height*0.5 );
       int radius = cvRound( (eyes[j].width + eyes[j].height)*0.25 );
       circle( frame, center, radius, Scalar( 255, 0, 0 ), 4, 8, 0 );
     }
  }
  //-- Show what you got
  imshow( window_name, frame );
 }

I am have searched this issues for over a ChemE week and can not find anything that is interested in learning CV in my spare time as a hobby so actually solves this problem....most mention to correctly reference the path and that is why I cam copying code any trying to learn that way. does not work. Any help is appreciated

click to hide/show revision 4
added screen capture and code change

updated 2014-11-07 12:10:15 -0600

Trying to Detect Face

I am trying to detect faces but cascade file will not load: I have set path correctly and in addition added files to all folders related to C++ program I also tried adding the files in Visual Studio but that did not work either... I am running windows 8.1, VS2013, OpenCV249 and 64bit configuration. Code:(copied from http://docs.opencv.org/doc/tutorials/objdetect/cascade_classifier/cascade_classifier.html#cascade-classifier)

#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 );

 /** Global variables */
 String face_cascade_name = "haarcascade_frontalface_alt.xml";
 String eyes_cascade_name = "haarcascade_eye_tree_eyeglasses.xml";
 CascadeClassifier face_cascade;
 CascadeClassifier eyes_cascade;
 string window_name = "Capture - Face detection";
 RNG rng(12345);

 /** @function main */
 int main( int argc, const char** argv )
 {
   CvCapture* capture;
   Mat frame;

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

   //-- 2. Read the video stream
   capture = cvCaptureFromCAM( -1 );
   if( capture )
   {
     while( true )
     {
   frame = cvQueryFrame( capture );

   //-- 3. Apply the classifier to the frame
       if( !frame.empty() )
       { detectAndDisplay( frame ); }
       else
       { printf(" --(!) No captured frame -- Break!"); break; }

       int c = waitKey(10);
       if( (char)c == 'c' ) { break; }
      }
   }
   return 0;
 }

/** @function detectAndDisplay */
void detectAndDisplay( Mat frame )
{
  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( size_t i = 0; i < faces.size(); i++ )
  {
    Point center( faces[i].x + faces[i].width*0.5, faces[i].y + faces[i].height*0.5 );
    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;

    //-- In each face, detect eyes
    eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CV_HAAR_SCALE_IMAGE, Size(30, 30) );

    for( size_t j = 0; j < eyes.size(); j++ )
     {
       Point center( faces[i].x + eyes[j].x + eyes[j].width*0.5, faces[i].y + eyes[j].y + eyes[j].height*0.5 );
       int radius = cvRound( (eyes[j].width + eyes[j].height)*0.25 );
       circle( frame, center, radius, Scalar( 255, 0, 0 ), 4, 8, 0 );
     }
  }
  //-- Show what you got
  imshow( window_name, frame );
 }

I have searched this issues for over a week and can not find anything that actually solves this problem....most mention to correctly reference the path and that does not work. Any help is appreciated

Screen capture of error image description

and updated code

/** Global variables */
String face_cascade_name = "C:\\OpenCV\\sources\\data\\haarcascades\\haarcascade_frontalface_alt.xml";
String eyes_cascade_name = "C:\\OpenCV\\sources\\data\\haarcascades\\haarcascade_eye_tree_eyeglasses.xml";
CascadeClassifier face_cascade;
CascadeClassifier eyes_cascade;
string window_name = "Capture - Face detection";
RNG rng(12345);

Trying to Detect Face

I am trying to detect faces but cascade file will not load: I have set path correctly and in addition added files to all folders related to C++ program I also tried adding the files in Visual Studio but that did not work either... I am running windows 8.1, VS2013, OpenCV249 and 64bit configuration. Code:(copied from http://docs.opencv.org/doc/tutorials/objdetect/cascade_classifier/cascade_classifier.html#cascade-classifier)

#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 );

 /** Global variables */
 String face_cascade_name = "haarcascade_frontalface_alt.xml";
 String eyes_cascade_name = "haarcascade_eye_tree_eyeglasses.xml";
 CascadeClassifier face_cascade;
 CascadeClassifier eyes_cascade;
 string window_name = "Capture - Face detection";
 RNG rng(12345);

 /** @function main */
 int main( int argc, const char** argv )
 {
   CvCapture* capture;
   Mat frame;

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

   //-- 2. Read the video stream
   capture = cvCaptureFromCAM( -1 );
   if( capture )
   {
     while( true )
     {
   frame = cvQueryFrame( capture );

   //-- 3. Apply the classifier to the frame
       if( !frame.empty() )
       { detectAndDisplay( frame ); }
       else
       { printf(" --(!) No captured frame -- Break!"); break; }

       int c = waitKey(10);
       if( (char)c == 'c' ) { break; }
      }
   }
   return 0;
 }

/** @function detectAndDisplay */
void detectAndDisplay( Mat frame )
{
  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( size_t i = 0; i < faces.size(); i++ )
  {
    Point center( faces[i].x + faces[i].width*0.5, faces[i].y + faces[i].height*0.5 );
    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;

    //-- In each face, detect eyes
    eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CV_HAAR_SCALE_IMAGE, Size(30, 30) );

    for( size_t j = 0; j < eyes.size(); j++ )
     {
       Point center( faces[i].x + eyes[j].x + eyes[j].width*0.5, faces[i].y + eyes[j].y + eyes[j].height*0.5 );
       int radius = cvRound( (eyes[j].width + eyes[j].height)*0.25 );
       circle( frame, center, radius, Scalar( 255, 0, 0 ), 4, 8, 0 );
     }
  }
  //-- Show what you got
  imshow( window_name, frame );
 }

I have searched this issues for over a week and can not find anything that actually solves this problem....most mention to correctly reference the path and that does not work. Any help is appreciated

Screen capture of error image description zoomed in image description

and updated code

/** Global variables */
String face_cascade_name = "C:\\OpenCV\\sources\\data\\haarcascades\\haarcascade_frontalface_alt.xml";
String eyes_cascade_name = "C:\\OpenCV\\sources\\data\\haarcascades\\haarcascade_eye_tree_eyeglasses.xml";
CascadeClassifier face_cascade;
CascadeClassifier eyes_cascade;
string window_name = "Capture - Face detection";
RNG rng(12345);
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