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- #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 = "haarcascades\\haarcascade_frontalface_alt.xml";
- String eyes_cascade_name = "haarcascades\\haarcascade_eye_tree_eyeglasses.xml";
- String smile_cascade_name = "haarcascades\\haarcascade_smile.xml";
- CascadeClassifier face_cascade;
- CascadeClassifier eyes_cascade;
- CascadeClassifier smileCascade;
- 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; };
- if( !smileCascade.load( smile_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( 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 );
- 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( int 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 );
- }
- //--In each face, detect smile
- std::vector<Rect> smile;
- smileCascade.detectMultiScale(faceROI, smile, 1.1, 2, 0|CV_HAAR_SCALE_IMAGE, Size(30,30));
- for( int k=0; k<smile.size(); k++)
- {
- Point center(faces[i].x + smile[k].x + smile[k].width*0.5, faces[i].y + smile[k].y + smile[k].height*0.5);
- ellipse(frame,center,Size(smile[k].width*0.5, smile[k].height*0.5), 0, 0, 360, Scalar(0,255,255), 4, 8, 0);
- }
- }
- //-- Show what you got
- imshow( window_name, frame );
- }
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