          argument_list.append(dict(
              opts=("-sp", "--singleprocess"),
              action="store_true",
              default=False,
              group="settings",
              help="Disable multiprocessing. Slower but less resource intensive."))
          return argument_list
  
  
  class TrainArgs(FaceSwapArgs):
      """ Creates the command line arguments for training. """
 
</s> remove             group="settings",
            help="Skip saving the detected faces to disk. Just create an alignments file"))
 </s> add             group=_("settings"),
            help=_("Skip saving the detected faces to disk. Just create an alignments file"))) </s> remove             group="Data",
            help="Optional path to an alignments file. Leave blank if the alignments file is "
                 "at the default location."))
 </s> add             group=_("Data"),
            help=_("Optional path to an alignments file. Leave blank if the alignments file is "
                   "at the default location."))) </s> remove             group="augmentation",
            help="Warping is integral to training the Neural Network. This option should only be "
                 "enabled towards the very end of training to try to bring out more detail. Think "
                 "of it as 'fine-tuning'. Enabling this option from the beginning is likely to "
                 "kill a model and lead to terrible results."))
 </s> add             group=_("augmentation"),
            help=_("Warping is integral to training the Neural Network. This option should only "
                   "be enabled towards the very end of training to try to bring out more detail. "
                   "Think of it as 'fine-tuning'. Enabling this option from the beginning is "
                   "likely to kill a model and lead to terrible results."))) </s> remove             group="settings",
            help="Swap the model. Instead converting from of A -> B, converts B -> A"))
 </s> add             group=_("settings"),
            help=_("Swap the model. Instead converting from of A -> B, converts B -> A"))) </s> remove             group="output",
            help="Draw landmarks on the ouput faces for debugging purposes."))
 </s> add             group=_("output"),
            help=_("Draw landmarks on the ouput faces for debugging purposes.")))
            group=_("settings"),
            help=_("Disable multiprocessing. Slower but less resource intensive.")))
          argument_list.append(dict(
              opts=("-sp", "--singleprocess"),
              action="store_true",
              default=False,
            group=_("settings"),
            help=_("Disable multiprocessing. Slower but less resource intensive.")))
            group=_("settings"),
            help=_("Disable multiprocessing. Slower but less resource intensive.")))
          return argument_list
  
  
  class TrainArgs(FaceSwapArgs):
      """ Creates the command line arguments for training. """
keep keep keep keep replace replace keep keep keep keep keep
 Add Locale support for cli arguments 
lib/cli/args.py