# Webcam based OpenCV face detector sample code

import cv2  
  
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
  
eye_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_eye.xml")

# font 
font = cv2.FONT_HERSHEY_SIMPLEX 

  
# webcam - if you have two webcams, you may need to change this 0 to a 1 or 2
cap = cv2.VideoCapture(0) 
  
 
while 1:  
  
    ret, img = cap.read()  
  
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) 
    faces = face_cascade.detectMultiScale(gray, 1.2, 5) 
  
    for (x,y,w,h) in faces: 
        cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,255),2)  
        con_gray = gray[y:y+h, x:x+w] 
        con_color = img[y:y+h, x:x+w] 
        img = cv2.putText(img,'Face', (x,y), font, 1, (255,0,0), 2, cv2.LINE_AA) 
  
        # Eye detector
        eyes = eye_cascade.detectMultiScale(con_gray)  
  

        for (ex,ey,ew,eh) in eyes: 
            cv2.rectangle(con_color,(ex,ey),(ex+ew,ey+eh),(0,255,255),2) 
  
    cv2.imshow('img',img) 
  
# Press Escape key to stop the window
    k = cv2.waitKey(30) & 0xff
    if k == 27: 
        break
  
# Close 
cap.release() 

# End the program
cv2.destroyAllWindows()