                   "images are used for training. The centering used dictates how this subsection "
                   "will be cropped from the aligned images."
                   "\n\tface: Centers the training image on the center of the face, adjusting for "
                   "pitch and yaw."
                   "\n\tlegacy: The 'original' extraction technique. Centers the training image "
                   "near the tip of the nose with no adjustment. Can result in the edges of the "
                   "face appearing outside of the training area.")
          self.add_item(
 
</s> remove             choices=["face", "legacy"],
 </s> add             choices=["face", "head", "legacy"], </s> remove #: lib/cli/args.py:647
 </s> add #: lib/cli/args.py:650 </s> remove #: lib/cli/args.py:967
 </s> add #: lib/cli/args.py:979
                 "\n\thead: Centers the training image on the center of the head, adjusting for "
                 "pitch and yaw. NB: You should only select head centering if you intend to "
                 "include the full head (including hair) in the final swap. This may give mixed "
                 "results. Additionally, it is only worth choosing head centering if you are "
                 "training with a mask that includes the hair (e.g. BiSeNet-FP-Head)."
                   "images are used for training. The centering used dictates how this subsection "
                   "will be cropped from the aligned images."
                   "\n\tface: Centers the training image on the center of the face, adjusting for "
                   "pitch and yaw."
                 "\n\thead: Centers the training image on the center of the head, adjusting for "
                 "pitch and yaw. NB: You should only select head centering if you intend to "
                 "include the full head (including hair) in the final swap. This may give mixed "
                 "results. Additionally, it is only worth choosing head centering if you are "
                 "training with a mask that includes the hair (e.g. BiSeNet-FP-Head)."
                   "\n\tlegacy: The 'original' extraction technique. Centers the training image "
                   "near the tip of the nose with no adjustment. Can result in the edges of the "
                   "face appearing outside of the training area.")
          self.add_item(
keep keep keep add keep keep keep keep
 Masks updates
  - Add head centering support to training
  - Update helptext/tooltips 
plugins/train/_config.py