ProjectProto

import cv2.cv as cv
HAAR_CASCADE = "/usr/local/share/OpenCV/haarcascades/haarcascade_frontalface_default.xml"
cv.NamedWindow( "mycamera" )
capture = cv.CreateCameraCapture(0)
storage = cv.CreateMemStorage()
cascade = cv.Load(HAAR_CASCADE)
while True:
 image = cv.QueryFrame(capture)
 faces = cv.HaarDetectObjects(image, cascade, storage, 1.1, 3, cv.CV_HAAR_DO_CANNY_PRUNING, (100,100))
 for((x,y,w,h),i) in faces:
 cv.Rectangle(image, (x,y), (x+w, y+h), (0,255,0), 3)
 cv.ShowImage( "mycamera", image )
 if cv.WaitKey(5) > 0:
 break
cv.DestroyWindow( "mycamera" )

#include <opencv2/highgui/highgui.hpp>
#include <opencv2/objdetect/objdetect.hpp>
using namespace cv;
#define HAAR_CASCADE "/usr/local/share/OpenCV/haarcascades/haarcascade_frontalface_default.xml"
int main(int argc, const char ** argv)
{
 cvNamedWindow( "mycamera" /*, CV_WINDOW_AUTOSIZE*/); // create camera window, 1=CV_WINDOW_AUTOSIZE(default,the user cannot resize the window)
 CvCapture *capture = cvCreateCameraCapture(0); // start capturing frames from camera (i.e. /dev/video0 device)
 CvMemStorage *storage = cvCreateMemStorage(); // create new memory storage
 CvHaarClassifierCascade *cascade = (CvHaarClassifierCascade *)cvLoad(HAAR_CASCADE); // load frontal face detector
 while (1){
 IplImage *image = cvQueryFrame(capture); // grab and retrieve frame
 CvSeq *faces = cvHaarDetectObjects(image, cascade, storage, 1.1, 3, CV_HAAR_DO_CANNY_PRUNING, cvSize(100,100)); // find rectangular regions that contain faces
 for(int i=0; i < faces->total; i++){
 CvRect *r = (CvRect *)cvGetSeqElem(faces, i); // get bounding rectangle of the detected face
 cvRectangle(image, cvPoint(r->x, r->y), cvPoint(r->x + r->width, r->y + r->height), cvScalar(0,255,0), 3); // draw a green rectangle
 }
 cvShowImage( "mycamera", image ); // display image within window
 if (cvWaitKey(5) > 0) // press any key to exit
 break;
 }
 // cleanups
 cvReleaseHaarClassifierCascade( &cascade ); // release cascade
 cvReleaseMemStorage( &storage ); // release memory storage
 cvReleaseCapture( &capture ); // stop capturing/reading
 cvDestroyWindow( "mycamera" ); // end camera window
 return 0;
}

import cv2.cv as cv
cv.NamedWindow( "mycamera", 1 )
capture = cv.CreateCameraCapture( 0 )
while True:
 img = cv.QueryFrame( capture )
 cv.ShowImage( "mycamera", img )
 if cv.WaitKey(20) > 0:
 break
cv.DestroyWindow( "mycamera" )

#include <opencv2/highgui/highgui.hpp>
using namespace cv;
int main( int argc, const char** argv )
{
 cvNamedWindow( "mycamera", 1 ); // create camera window
 CvCapture *capture = cvCreateCameraCapture( 0 ); // start capturing frames from camera (i.e. /dev/video0 device)
 while(1){
 IplImage* img = cvQueryFrame( capture ); // grab and retrieve frame
 cvShowImage( "mycamera", img ); // display image within window
 if( waitKey(20) > 0 ) // press any key to exit (interval=20ms)
 break;
 }
 // cleanups
 cvReleaseCapture( &capture ); // stop capturing/reading // not needed in python (?)
 cvDestroyWindow( "mycamera" ); // end camera window
 return 0;
}