text: import cv2
  import math
  import numpy as np
  import dlib
  import imutils
  from imutils import face_utils
  
  def euclideanDist(a, b):
      return (math.sqrt(math.pow(a[0]-b[0], 2)+math.pow(a[1]-b[1], 2)))
  def ear(eye):
      return ((euclideanDist(eye[1], eye[5])+euclideanDist(eye[2], eye[4]))/(2*euclideanDist(eye[0], eye[3])))
  
  def getAvg():
      capture = cv2.VideoCapture(0)
      detector = dlib.get_frontal_face_detector()
      predictor = dlib.shape_predictor('shape_predictor_68_face_landmarks.dat')
      (leStart, leEnd) = face_utils.FACIAL_LANDMARKS_IDXS["left_eye"]
      (reStart, reEnd) = face_utils.FACIAL_LANDMARKS_IDXS["right_eye"]
      count = 0.0
      sum = 0
      while(True):
          ret, frame = capture.read()
          gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
          rects = detector(gray, 0)
          if(len(rects)):
              shape = face_utils.shape_to_np(predictor(gray, rects[0]))
              leftEye = shape[leStart:leEnd]
              rightEye = shape[reStart:reEnd]
              leftEyeHull = cv2.convexHull(leftEye)
              rightEyeHull = cv2.convexHull(rightEye)
              leftEAR = ear(leftEye) #Get the left eye aspect ratio
              rightEAR = ear(rightEye) #Get the right eye aspect ratio
              sum+=(leftEAR+rightEAR)/2.0
              count+=1.0
              cv2.drawContours(gray, [leftEyeHull], -1, (0, 255, 0), 1)
              cv2.drawContours(gray, [rightEyeHull], -1, (0, 255, 0), 1)
          cv2.imshow('Train', gray)
          if(cv2.waitKey(1)==27):
              break
      
      capture.release()
      cv2.destroyAllWindows()
      return sum/count