as i added my images in at data base but it shows unknown when i run the program following is the code [closed]

edit

#!/usr/bin/python
import cv2
import sys
import numpy
import os
#for PIL import Image

size=4
fn_haar='haarcascade_frontalface_default.xml'
fn_dir='att_faces'

(images,lables,names,id)=([],[],{},0)
for(subdirs,dirs,files)in os.walk(fn_dir):
    for subdir in dirs:
        names[id]=subdir
        subjectpath=os.path.join(fn_dir,subdir)
        for filename in os.listdir(subjectpath):
            path=subjectpath+'/'+filename
            label=id
            images.append(cv2.imread(path,0))
            lables.append(int(label))

            id+=1

            (im_width,im_height)=(112,92)

            (images,lables)=[numpy.array(lis) for lis in [images,lables]]

            #model=cv2.face.createEigenFaceRecognizer()
            model=cv2.face.createFisherFaceRecognizer()
            #model=cv2.face.createLBPHFaceRecognizer()

            model.train(images,lables)

            haar_cascade=cv2.CascadeClassifier(fn_haar)
            webcam=cv2.VideoCapture(0)
            while True:
                (rval,frame)=webcam.read()
                frame=cv2.flip(frame,1,0)
                gray=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
                mini=cv2.resize(gray,(gray.shape[1]//size,gray.shape[0]//size))
                faces=haar_cascade.detectMultiScale(mini)
                for i in range(len(faces)):
                    face_i=faces[i]
                    (x,y,w,h)=[v*size for v in face_i]
                    face=gray[y:y+h,x:x+w]
                    face_resize=cv2.resize(face,(im_width,im_height))

                    predicition = model.predict(face_resize)
                    cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,0),3)

                if predicition[1]>x:

                    cv2.putText(frame,'%s - %.0f' % (names[predicition[0]],predicition[1]),(x-10,y-10),cv2.FONT_HERSHEY_PLAIN,1,(0,255,0))

                else:

                    cv2.putText(frame,'UnKnown',(x-10,y-10),cv2.FAST_FEATURE_DETECTOR_THRESHOLD,1,(0,0,255))


                    cv2.imshow('Face Recognition',frame)
                    key=cv2.waitKey(10)
                    if key == 27:
                        break