face.py

import cv2
import numpy as np

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
fullbody_cascade = cv2.CascadeClassifier('haarcascade_fullbody.xml')

cap = cv2.VideoCapture(0)

while True:
	ret,img = cap.read()
	gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
	faces = face_cascade.detectMultiScale(gray,1.3,5)
	for (x,y,w,h) in faces:
		cv2.rectangle(img, (x,y), (x+w, y+h), (255,0,0), 2)
		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),2)
			#cv2.circle(roi_color, ((int((ex+ew)/2),int((ey+eh)/2))), int((ew+eh)/2),(255,0,0),2)
	body = fullbody_cascade.detectMultiScale(gray)
	for (x,y,w,h) in body:
		cv2.rectangle(img,(x,y),(x+w, y+h), (0,255,0), 2)
	
	cv2.imshow('img',img)
	k = cv2.waitKey(1) & 0xFF
	if k == 27:
		break
cap.release()
cv2.destroyAllWindows()