#haarcascade method
import cv2

face_cascade = cv2.CascadeClassifier(r'C:\Users\bhavi\Desktop\Learn_OpenCV\opencv-master\data\haarcascades\haarcascade_frontalface_default.xml') #for face
eye_cascade = cv2.CascadeClassifier(r'C:\Users\bhavi\Desktop\Learn_OpenCV\opencv-master\data\haarcascades\haarcascade_eye_tree_eyeglasses.xml') #for eyes

# img = cv2.imread('test.png')

cap = cv2.VideoCapture(0)

while cap.isOpened():
    _, img = cap.read()

    gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray,1.1,4)

    for (x,y,w,h) in faces:
        cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),3)
        roi_gray = gray[y:y+h,x:x+w]
        roi_color = img[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),5)


    cv2.imshow('img',img)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()