Face.py

import numpy as np
import cv2

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
# smile_cascade=cv2.CascadeClassifier('haarcascade_smile.xml')
#body_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)
	for (x,y,w,h) in faces:
		cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
		# font=cv2.FONT_HERSHEY_SIMPLEX
		#cv2.putText(img,'Jeevy',(x+w/2,y+h/2),font,0.5,(0,0,255),1,cv2.LINE_AA)
		print(x,y)
		roi_gray = gray[y:y+h, x:x+w]
		roi_color = img[y:y+h, x:x+w]
		eyes=eye_cascade.detectMultiScale(roi_gray)
		# smiles=smile_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)
			print(ex,ey)
		# for(sx,sy,sw,sh) in smiles:
			# cv2.rectangle(roi_color,(sx, sy),(sx+sw, sy+sh),(0,0,255),2)
			# print(sx,sy)
	cv2.imshow('img',img)
	k=cv2.waitKey(30) & 0xFF
	if k==32:
		break

cap.release() 
cv2.destroyAllWindows()