text: import os
  import cv2
  import csv
  
  from_dir = 'full_len_data/'
  to_dir = '../dataset/'
  img_list = []
  label_list = []
  for root, dirs, files in os.walk(from_dir):
      if root == from_dir:
          img_list.extend([root+f for f in files])
          label_list.extend([f[:4] for f in files])
  
  with open('../labels.csv', 'w', newline='') as csvfile:
      fieldnames = ['img_dir', 'label']
      writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
      writer.writeheader()
  
      out_name = 0
      for img, label in zip(img_list, label_list):
          img = cv2.imread(img)
          width = img.shape[1]
          for i, l in zip(range(0, width, width//4), label):
              writer.writerow({'img_dir': to_dir[3:]+str(out_name)+'.jpg', 'label': l})
              crop = img[:, i:i+width//4, :]
              cv2.imwrite(to_dir+str(out_name)+'.jpg', crop)
              out_name += 1
  