text: import glob
  import os
  import cv2
  import numpy as np
  
  ratio = 0.95
  image_size = 128
  
  x = []
  paths = glob.glob('./images/*')
  for path in paths:
      img = cv2.imread(path)
      img = cv2.resize(img, (image_size, image_size))
      img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
      x.append(img)
  
  x = np.array(x, dtype=np.uint8)
  np.random.shuffle(x)
  
  p = int(ratio * len(x))
  # x_train = x[:p] # Dont do this without a lot of pictures
  x_test = x
  
  if not os.path.exists('./npy'):
      os.mkdir('./npy')
  # np.save('./npy/x_train.npy', x_train)
  np.save('./npy/x_test.npy', x_test)
  
  