text: import face_recognition
  import cv2
  import os
  import pickle
  print(cv2.__version__)
   
  Encodings=[]
  Names=[]
  j=0
   
  for root, dirs, files in os.walk("demoImages/known"):
      #print(files)
      for file in files:
          path = os.path.join(root, file)
          print(path)
          name = os.path.splitext(file)[0]
          print(name)
          person = face_recognition.load_image_file(path)
          encoding = face_recognition.face_encodings(person)[0]
          Encodings.append(encoding)
          Names.append(name)
  print(Names)
  
  with open('train.pkl', 'wb') as f:
      pickle.dump(Names, f)
      pickle.dump(Encodings, f)
  