face_eye_nose_detection.py

import cv2
import numpy as np

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
nose_cascade = cv2.CascadeClassifier('haarcascade_nose.xml')

cap = cv2.VideoCapture(0)

while(cap.isOpened()):
    ret, frame = cap.read()
    if(ret == True):    
        gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
        faces = face_cascade.detectMultiScale(gray, 1.3, 2)
        for(x,y,w,h) in faces:
            cv2.rectangle(frame , (x,y) , (x+w,y+h), (0,255,0), 2)
            roi_gray = gray[y:y+h , x:x+w]
            roi_color = frame[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), (0,0,255), 2)
            nose = nose_cascade.detectMultiScale(roi_gray)
            for (nx,ny,nw,nh) in nose:
                cv2.rectangle(roi_color,(nx,ny), (nx+nw,ny+nh), (255,0,0), 2)
    cv2.imshow('img',frame) 
    
        # Wait for Esc key to stop 
    k = cv2.waitKey(30) & 0xff
    if k == 27: 
        break

#cap.release()
cv2.destroyAllWindows()