              opts=("-wl", "--warp-to-landmarks"),
              action="store_true",
              dest="warp_to_landmarks",
              default=False,
              group="augmentation",
              help="Warps training faces to closely matched Landmarks from the opposite face-set "
                   "rather than randomly warping the face. This is the 'dfaker' way of doing "
                   "warping."))
          argument_list.append(dict(
              opts=("-nf", "--no-flip"),
              action="store_true",
              dest="no_flip",
              default=False,
 
</s> remove             group="training",
            help="Disables TensorBoard logging. NB: Disabling logs means that you will not be "
                 "able to use the graph or analysis for this session in the GUI."))
 </s> add             group=_("training"),
            help=_("Disables TensorBoard logging. NB: Disabling logs means that you will not be "
                   "able to use the graph or analysis for this session in the GUI."))) </s> remove             group="augmentation",
            help="To effectively learn, a random set of images are flipped horizontally. "
                 "Sometimes it is desirable for this not to occur. Generally this should be "
                 "left off except for during 'fit training'."))
 </s> add             group=_("augmentation"),
            help=_("To effectively learn, a random set of images are flipped horizontally. "
                   "Sometimes it is desirable for this not to occur. Generally this should be "
                   "left off except for during 'fit training'."))) </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="augmentation",
            help="Color augmentation helps make the model less susceptible to color "
                 "differences between the A and B sets, at an increased training time cost. "
                 "Enable this option to disable color augmentation."))
 </s> add             group=_("augmentation"),
            help=_("Color augmentation helps make the model less susceptible to color "
                   "differences between the A and B sets, at an increased training time cost. "
                   "Enable this option to disable color augmentation."))) </s> remove             group="settings",
            help="Don't run extraction in parallel. Will run each part of the extraction "
                 "process separately (one after the other) rather than all at the smae time. "
                 "Useful if VRAM is at a premium."))
 </s> add             group=_("settings"),
            help=_("Don't run extraction in parallel. Will run each part of the extraction "
                   "process separately (one after the other) rather than all at the smae time. "
                   "Useful if VRAM is at a premium.")))
            group=_("augmentation"),
            help=_("Warps training faces to closely matched Landmarks from the opposite face-set "
                   "rather than randomly warping the face. This is the 'dfaker' way of doing "
                   "warping.")))
              opts=("-wl", "--warp-to-landmarks"),
              action="store_true",
              dest="warp_to_landmarks",
              default=False,
            group=_("augmentation"),
            help=_("Warps training faces to closely matched Landmarks from the opposite face-set "
                   "rather than randomly warping the face. This is the 'dfaker' way of doing "
                   "warping.")))
            group=_("augmentation"),
            help=_("Warps training faces to closely matched Landmarks from the opposite face-set "
                   "rather than randomly warping the face. This is the 'dfaker' way of doing "
                   "warping.")))
            group=_("augmentation"),
            help=_("Warps training faces to closely matched Landmarks from the opposite face-set "
                   "rather than randomly warping the face. This is the 'dfaker' way of doing "
                   "warping.")))
            group=_("augmentation"),
            help=_("Warps training faces to closely matched Landmarks from the opposite face-set "
                   "rather than randomly warping the face. This is the 'dfaker' way of doing "
                   "warping.")))
          argument_list.append(dict(
              opts=("-nf", "--no-flip"),
              action="store_true",
              dest="no_flip",
              default=False,
keep keep keep keep replace replace replace replace keep keep keep keep keep
 Add Locale support for cli arguments 
lib/cli/args.py