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I have used the below code for eye detection but it identifies eyes very inaccurately. The code I used is as follows,

import numpy as np
import cv2
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')

img = cv2.imread('sachin.jpg')
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.imshow('img',img)
cv2.waitKey(0)
cv2.destroyAllWindows()

It identifies the eyes as shown in these attached images!

C:\fakepath\Capture2.PNG

C:\fakepath\Capture.PNG

I have tried haarcascade_frontalface_alt.xml and haarcascade_eye_tree_eyeglasses.xml combination as well. I get the same output. I need the eye cordinates for further processing and since this identifies so incorrectly I am unable to proceed. Please help.