app.py

import  cv2


def draw_boundary(img,classifier,scaleFactor,minNeighbors,color,text):
    gray_img=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
    features = classifier.detectMultiScale(gray_img,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,cv2.LINE_AA)

        coords=[x,y,w,h]

    return coords,img


def detect(img,faceCascade,eyeCascade):
     color ={"blue":(255,0,0),"red":(0,0,255),"green": (0,255,0)}

     coords,img =  draw_boundary(img,faceCascade,1.3,10,color["blue"],"Face")
     coords,img =  draw_boundary(img,eyeCascade,1.3,12,color["green"],"eyes")

     return img

faceCascade = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
eyeCascade = cv2.CascadeClassifier("haarcascade_eye.xml")
video_capture = cv2.VideoCapture(0)

while True:
    _, img = video_capture.read()
    img= detect(img,faceCascade,eyeCascade)
    cv2.imshow("Face detection Window",img)
    if cv2.waitKey(1) & 0xFF ==ord('q'):
        break

video_capture.release()
cv2.destroyAllWindows()