Face and eye recognition based on OpenCV's own model

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        #!/usr/bin/python
        
# -*- coding: utf-8 -*-
        
import cv2
        
face_cascade = cv2.CascadeClassifier("D:/Open-cv/opencv/build/etc/haarcascades/haarcascade_frontalface_default.xml")
        
eye_cascade = cv2.CascadeClassifier("D:/Open-cv/opencv/build/etc/haarcascades/haarcascade_eye.xml")
        
cap = cv2.VideoCapture(1)
        
while True:
        
    ret, frame = cap.read()
        
    i = frame
        
    # print i.shape
        
    gray = cv2.cvtColor(i, cv2.COLOR_BGR2GRAY)
        
    faces = face_cascade.detectMultiScale(gray, 1.3, 5)
        

        
    l = len(faces)
        
    print (l)
        
    for (x, y, w, h) in faces:
        
        cv2.rectangle(i, (x, y), (x + w, y + h), (255, 0, 0), 2)
        
        # cv2.putText(i,'face',(w/2+x,y-h/5),cv2.FONT_HERSHEY_PLAIN,2.0,(255,255,255),2,1)
        
        roi_gray = gray[y:y + h, x:x + w]
        
        roi_color = i[y:y + h, x:x + w]
        
        eyes = eye_cascade.detectMultiScale(roi_gray)
        
        for (ex, ey, ew, eh) in eyes:
        
            cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)
        
            cv2.putText(i, "face count", (20, 20), cv2.FONT_HERSHEY_PLAIN, 2.0, (255, 255, 255), 2, 1)
        
            cv2.putText(i, str(l), (230, 20), cv2.FONT_HERSHEY_PLAIN, 2.0, (255, 255, 255), 2, 1)
        
    cv2.imshow("rstp", i)
        
    if cv2.waitKey(1) & 0xFF == ord('q'):
        
        exit(0)
       
       

        
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