              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 "
 
</s> remove             choices=PluginLoader.get_available_extractors("mask", add_none=True) + ["predicted"],
 </s> add             choices=PluginLoader.get_available_extractors("mask",
                                                          add_none=True,
                                                          extend_plugin=True) + ["predicted"], </s> remove #: lib/cli/args.py:672
 </s> add #: lib/cli/args.py:677
                   "\nL|bisenet-fp-face: Relatively lightweight NN based mask that provides more "
                   "refined control over the area to be masked (configurable in mask settings). "
                   "Use this version of bisenet-fp if your model is trained with 'face' or "
                   "'legacy' centering."
                   "\nL|bisenet-fp-head: Relatively lightweight NN based mask that provides more "
                   "refined control over the area to be masked (configurable in mask settings). "
                   "Use this version of bisenet-fp if your model is trained with 'head' centering."
              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|bisenet-fp-face: Relatively lightweight NN based mask that provides more "
                   "refined control over the area to be masked (configurable in mask settings). "
                   "Use this version of bisenet-fp if your model is trained with 'face' or "
                   "'legacy' centering."
                   "\nL|bisenet-fp-head: Relatively lightweight NN based mask that provides more "
                   "refined control over the area to be masked (configurable in mask settings). "
                   "Use this version of bisenet-fp if your model is trained with 'head' centering."
                     "\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 "
keep keep add keep keep keep keep
 Masks updates
  - Add head centering support to training
  - Update helptext/tooltips 
lib/cli/args.py