detector.py

import cv2
import numpy as np

faceDetect = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
cam = cv2.VideoCapture(0)
rec = cv2.createLBPHFaceRecognizer()
rec.load("recognizer\\trainningData.yml")
id=0
font = cv2.cv.InitFont(cv2.cv.CV_FONT_HERSHEY_COMPLEX_SMALL,5,1,0,4)
while(True):
    ret,img = cam.read() #colored iamge here
    gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) # convert color image to plan color
    faces = faceDetect.detectMultiScale(gray,1.3,5)
    for(x,y,w,h) in faces:
        cv2.rectangle(img,(x,y),(x+w,y+h),(0,0,255),2)
        id,conf=rec.predict(gray[y:y+h,x:x+w])
        if(id == 1):
            id = "Person" # enter name of id user using elif condition
        cv2.cv.PutText(cv2.cv.fromarray(img),str(id),(x,y+h),font,255)
    cv2.imshow("Face",img);
    if (cv2.waitKey(1) == ord('q')):
        break
cam.release()
cv2.destroyAllWindows()