import cv2
faceCascade=cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
def draw_boundary(img,classsifier,scaleFactor,minNeighbors,color,text):
        gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
        features=classsifier.detectMultiScale(gray,scaleFactor,minNeighbors)
        coords=[]
        for (x,y,w,h) in features :
                cv2.rectangle(img,(x,y),(x+w,y+h),color,2)
                cv2.putText(img,text,(x,y-4),cv2.FONT_HERSHEY_SIMPLEX,0.8,color,1)
        return img        
def detect(img,faceCascade):
        img=draw_boundary(img,faceCascade,1.1,10,(255,0,0),"Face")
        return img
cap = cv2.VideoCapture(0)
while (True):
        ret,frame= cap.read()
        frame=detect(frame,faceCascade)
        cv2.imshow('frame',frame)
        if(cv2.waitKey(1) & 0xff== ord('q')):
            break
cap.release()
cv2.destroyAllWindows()