          fsmask.add(mask, affine_matrix, interpolator)
          self.mask[name] = fsmask
  
      def get_landmark_mask(self, size, area,
                            aligned=True, centering="head", dilation=0, blur_kernel=0, as_zip=False):
          """ Obtain a single channel mask based on the face's landmark points.
  
          Parameters
          ----------
          size: int or tuple
 
</s> remove         logger.trace("name: '%s', mask shape: %s, affine_matrix: %s, interpolator: %s)",
                     name, mask.shape, affine_matrix, interpolator)
        fsmask = Mask(storage_size=storage_size)
 </s> add         logger.trace("name: '%s', mask shape: %s, affine_matrix: %s, interpolator: %s, "
                     "storage_size: %s, storage_centering: %s)", name, mask.shape, affine_matrix,
                     interpolator, storage_size, storage_centering)
        fsmask = Mask(storage_size=storage_size, storage_centering=storage_centering) </s> remove                 predicted_mask=None,):
 </s> add                 centering, predicted_mask=None,): </s> remove     def __init__(self, storage_size=128):
 </s> add     def __init__(self, storage_size=128, storage_centering="face"):
        logger.trace("Initializing: %s (storage_size: %s, storage_centering: %s)",
                     self.__class__.__name__, storage_size, storage_centering) </s> remove     def add_mask(self, name, mask, affine_matrix, interpolator, storage_size=128):
 </s> add     def add_mask(self, name, mask, affine_matrix, interpolator,
                 storage_size=128, storage_centering="face"):
                          aligned=True, centering="face", dilation=0, blur_kernel=0, as_zip=False):
          fsmask.add(mask, affine_matrix, interpolator)
          self.mask[name] = fsmask
  
      def get_landmark_mask(self, size, area,
                          aligned=True, centering="face", dilation=0, blur_kernel=0, as_zip=False):
          """ Obtain a single channel mask based on the face's landmark points.
  
          Parameters
          ----------
          size: int or tuple
keep keep keep keep replace keep keep keep keep keep
 Add support for different mask centering types 
lib/align/detected_face.py