          padding = round((size * adjusted_ratio) / 2)
          logger.trace(padding)
          return padding
  
      def load_feed_face(self, image, size=64, coverage_ratio=0.625, dtype=None):
          """ Align a face in the correct dimensions for feeding into a model.
  
          Parameters
          ----------
          image: numpy.ndarray
 
</s> remove     def get_available_extractors(extractor_type):
 </s> add     def get_available_extractors(extractor_type, add_none=False): </s> remove 
 </s> add         add_none: bool, optional
            Append "none" to the list of returned plugins. Default: False
    def load_feed_face(self, image, size=64, coverage_ratio=0.625, dtype=None,
                       is_aligned_face=False):
          padding = round((size * adjusted_ratio) / 2)
          logger.trace(padding)
          return padding
  
    def load_feed_face(self, image, size=64, coverage_ratio=0.625, dtype=None,
                       is_aligned_face=False):
          """ Align a face in the correct dimensions for feeding into a model.
  
          Parameters
          ----------
          image: numpy.ndarray
keep keep keep keep replace keep keep keep keep keep
 Extract - Mask updates

- Remove none mask plugin
- Make pipeline more flexible
- Add support for pre-aligned faces to masker plugin
- Migrate blur and threshold settings to mask output 
lib/faces_detect.py