1 #include "opencv2/objdetect.hpp" 2 #include "opencv2/videoio.hpp" 3 #include "opencv2/highgui.hpp" 4 #include "opencv2/imgproc.hpp" 5 6 #include <iostream> 7 #include <stdio.h> 8 9 using namespace std; 10 using namespace cv; 11 12 /** Function Headers */ 13 void detectAndDisplay( Mat frame ); 14 15 /** Global variables */ 16 String face_cascade_name = "haarcascade_frontalface_alt.xml"; 17 String eyes_cascade_name = "haarcascade_eye_tree_eyeglasses.xml"; 18 CascadeClassifier face_cascade; 19 CascadeClassifier eyes_cascade; 20 String window_name = "Capture - Face detection"; 21 22 /** @function main */ 23 int main( void ) 24 { 25 VideoCapture capture; 26 Mat frame; 27 28 //-- 1. Load the cascades 29 if( !face_cascade.load( face_cascade_name ) ){ printf("--(!)Error loading face cascade\n"); return -1; }; 30 if( !eyes_cascade.load( eyes_cascade_name ) ){ printf("--(!)Error loading eyes cascade\n"); return -1; }; 31 32 //-- 2. Read the video stream 33 capture.open( -1 ); 34 if ( ! capture.isOpened() ) { printf("--(!)Error opening video capture\n"); return -1; } 35 36 while ( capture.read(frame) ) 37 { 38 if( frame.empty() ) 39 { 40 printf(" --(!) No captured frame -- Break!"); 41 break; 42 } 43 44 //-- 3. Apply the classifier to the frame 45 detectAndDisplay( frame ); 46 47 int c = waitKey(10); 48 if( (char)c == 27 ) { break; } // escape 49 } 50 return 0; 51 } 52 53 /** @function detectAndDisplay */ 54 void detectAndDisplay( Mat frame ) 55 { 56 std::vector<Rect> faces; 57 Mat frame_gray; 58 59 cvtColor( frame, frame_gray, COLOR_BGR2GRAY ); 60 equalizeHist( frame_gray, frame_gray ); 61 62 //-- Detect faces 63 face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0|CASCADE_SCALE_IMAGE, Size(30, 30) ); 64 65 for ( size_t i = 0; i < faces.size(); i++ ) 66 { 67 Point center( faces[i].x + faces[i].width/2, faces[i].y + faces[i].height/2 ); 68 ellipse( frame, center, Size( faces[i].width/2, faces[i].height/2 ), 0, 0, 360, Scalar( 255, 0, 255 ), 4, 8, 0 ); 69 70 Mat faceROI = frame_gray( faces[i] ); 71 std::vector<Rect> eyes; 72 73 //-- In each face, detect eyes 74 eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CASCADE_SCALE_IMAGE, Size(30, 30) ); 75 76 for ( size_t j = 0; j < eyes.size(); j++ ) 77 { 78 Point eye_center( faces[i].x + eyes[j].x + eyes[j].width/2, faces[i].y + eyes[j].y + eyes[j].height/2 ); 79 int radius = cvRound( (eyes[j].width + eyes[j].height)*0.25 ); 80 circle( frame, eye_center, radius, Scalar( 255, 0, 0 ), 4, 8, 0 ); 81 } 82 } 83 //-- Show what you got 84 imshow( window_name, frame ); 85 } 86
