              The segment indices to include within the face mask area
  
          Notes
          -----
          Model segment indices:
          0: background, 1: skin, 2: left brow, 3: right brow, 4: left eye, 5: right eye, 6: glasses
          7: left ear, 8: right ear, 9: earing, 10: nose, 11: mouth, 12: upper lip, 13: lower_lip,
          14: neck, 15: neck ?, 16: cloth, 17: hair, 18: hat
          """
          retval = [1, 2, 3, 4, 5, 10, 11, 12, 13]
 
</s> remove         retval = [1, 2, 3, 4, 5, 10, 11, 12, 13]
 </s> add         retval = [1] if self._is_faceswap else [1, 2, 3, 4, 5, 10, 11, 12, 13]
 </s> remove             retval.append(6)
 </s> add             retval.append(4 if self._is_faceswap else 6) </s> remove             retval.extend([7, 8, 9])
 </s> add             retval.extend([2] if self._is_faceswap else [7, 8, 9]) </s> remove         info="Whether to include glasses within the face mask. NB: excluding glasses will mask "
             "out the lenses as well as the frames.",
 </s> add         info="Whether to include glasses within the face mask.\n\tFor 'original' weights "
             "excluding glasses will mask out the lenses as well as the frames.\n\tFor 'faceswap' "
             "weights, the model has been trained to mask out lenses if eyes cannot be seen (i.e. "
             "dark sunglasses) or just the frames if the eyes can be seen. ",
        'original' Model segment indices:
              The segment indices to include within the face mask area
  
          Notes
          -----
        'original' Model segment indices:
          0: background, 1: skin, 2: left brow, 3: right brow, 4: left eye, 5: right eye, 6: glasses
          7: left ear, 8: right ear, 9: earing, 10: nose, 11: mouth, 12: upper lip, 13: lower_lip,
          14: neck, 15: neck ?, 16: cloth, 17: hair, 18: hat
          """
          retval = [1, 2, 3, 4, 5, 10, 11, 12, 13]
keep keep keep keep replace keep keep keep keep keep
 Bisenet-FP - Improved weights for masker (#1210)

* Add option to load faceswap trained weights

* Switch to original weights if fs weights not present

* typofix 
plugins/extract/mask/bisenet_fp.py