text: import os
  import numpy as np
  import cv2
  import argparse
  
  parser = argparse.ArgumentParser('create image pairs')
  parser.add_argument('--fold_A', dest='fold_A', help='input directory for image A', type=str, default='../dataset/50kshoes_edges')
  parser.add_argument('--fold_B', dest='fold_B', help='input directory for image B', type=str, default='../dataset/50kshoes_jpg')
  parser.add_argument('--fold_AB', dest='fold_AB', help='output directory', type=str, default='../dataset/test_AB')
  parser.add_argument('--num_imgs', dest='num_imgs', help='number of images', type=int, default=1000000)
  parser.add_argument('--use_AB', dest='use_AB', help='if true: (0001_A, 0001_B) to (0001_AB)', action='store_true')
  args = parser.parse_args()
  
  for arg in vars(args):
      print('[%s] = ' % arg, getattr(args, arg))
  
  splits = os.listdir(args.fold_A)
  
  for sp in splits:
      img_fold_A = os.path.join(args.fold_A, sp)
      img_fold_B = os.path.join(args.fold_B, sp)
      img_list = os.listdir(img_fold_A)
      if args.use_AB:
          img_list = [img_path for img_path in img_list if '_A.' in img_path]
  
      num_imgs = min(args.num_imgs, len(img_list))
      print('split = %s, use %d/%d images' % (sp, num_imgs, len(img_list)))
      img_fold_AB = os.path.join(args.fold_AB, sp)
      if not os.path.isdir(img_fold_AB):
          os.makedirs(img_fold_AB)
      print('split = %s, number of images = %d' % (sp, num_imgs))
      for n in range(num_imgs):
          name_A = img_list[n]
          path_A = os.path.join(img_fold_A, name_A)
          if args.use_AB:
              name_B = name_A.replace('_A.', '_B.')
          else:
              name_B = name_A
          path_B = os.path.join(img_fold_B, name_B)
          if os.path.isfile(path_A) and os.path.isfile(path_B):
              name_AB = name_A
              if args.use_AB:
                  name_AB = name_AB.replace('_A.', '.')  # remove _A
              path_AB = os.path.join(img_fold_AB, name_AB)
              im_A = cv2.imread(path_A, 1) # python2: cv2.CV_LOAD_IMAGE_COLOR; python3: cv2.IMREAD_COLOR
              im_B = cv2.imread(path_B, 1) # python2: cv2.CV_LOAD_IMAGE_COLOR; python3: cv2.IMREAD_COLOR
              im_AB = np.concatenate([im_A, im_B], 1)
              cv2.imwrite(path_AB, im_AB)
  