              opts=("-w", "--write-image"),
              action="store_true",
              dest="write_image",
              default=False,
              group="preview",
              help="Writes the training result to a file. The image will be stored in the root "
                   "of your FaceSwap folder."))
          argument_list.append(dict(
              opts=("-nl", "--no-logs"),
              action="store_true",
              dest="no_logs",
              default=False,
 
</s> remove             group="preview",
            help="Show training preview output. in a separate window."))
 </s> add             group=_("preview"),
            help=_("Show training preview output. in a separate window."))) </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="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="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."))
 </s> add             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."))) </s> remove             group="Plugins",
            help="R|Masker to use. NB: The mask you require must exist within the alignments "
                 "file. You can add additional masks with the Mask Tool."
                 "\nL|none: Don't use a mask."
                 "\nL|components: Mask designed to provide facial segmentation based on the "
                 "positioning of landmark locations. A convex hull is constructed around the "
                 "exterior of the landmarks to create a mask."
                 "\nL|extended: Mask designed to provide facial segmentation based on the "
                 "positioning of landmark locations. A convex hull is constructed around the "
                 "exterior of the landmarks and the mask is extended upwards onto the forehead."
                 "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                 "faces clear of obstructions. Profile faces and obstructions may result in "
                 "sub-par performance."
                 "\nL|vgg-obstructed: Mask designed to provide smart segmentation of mostly "
                 "frontal faces. The mask model has been specifically trained to recognize "
                 "some facial obstructions (hands and eyeglasses). Profile faces may result in "
                 "sub-par performance."
                 "\nL|unet-dfl: Mask designed to provide smart segmentation of mostly frontal "
                 "faces. The mask model has been trained by community members and will need "
                 "testing for further description. Profile faces may result in sub-par "
                 "performance."))
 </s> add             group=_("Plugins"),
            help=_("R|Masker to use. NB: The mask you require must exist within the alignments "
                   "file. You can add additional masks with the Mask Tool."
                   "\nL|none: Don't use a mask."
                   "\nL|components: Mask designed to provide facial segmentation based on the "
                   "positioning of landmark locations. A convex hull is constructed around the "
                   "exterior of the landmarks to create a mask."
                   "\nL|extended: Mask designed to provide facial segmentation based on the "
                   "positioning of landmark locations. A convex hull is constructed around the "
                   "exterior of the landmarks and the mask is extended upwards onto the forehead."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: Mask designed to provide smart segmentation of mostly "
                   "frontal faces. The mask model has been specifically trained to recognize "
                   "some facial obstructions (hands and eyeglasses). Profile faces may result in "
                   "sub-par performance."
                   "\nL|unet-dfl: Mask designed to provide smart segmentation of mostly frontal "
                   "faces. The mask model has been trained by community members and will need "
                   "testing for further description. Profile faces may result in sub-par "
                   "performance.")))
            group=_("preview"),
            help=_("Writes the training result to a file. The image will be stored in the root "
                   "of your FaceSwap folder.")))
              opts=("-w", "--write-image"),
              action="store_true",
              dest="write_image",
              default=False,
            group=_("preview"),
            help=_("Writes the training result to a file. The image will be stored in the root "
                   "of your FaceSwap folder.")))
            group=_("preview"),
            help=_("Writes the training result to a file. The image will be stored in the root "
                   "of your FaceSwap folder.")))
            group=_("preview"),
            help=_("Writes the training result to a file. The image will be stored in the root "
                   "of your FaceSwap folder.")))
          argument_list.append(dict(
              opts=("-nl", "--no-logs"),
              action="store_true",
              dest="no_logs",
              default=False,
keep keep keep keep replace replace replace keep keep keep keep keep
 Add Locale support for cli arguments 
lib/cli/args.py