                                            self.feed["padding"])
          self.feed["face"] = face if dtype is None else face.astype(dtype)
  
          logger.trace("Loaded feed face. (face_shape: %s, matrix: %s)",
                       self.feed_face.shape, self._feed_matrix)
  
      def load_reference_face(self, image, size=64, coverage_ratio=0.625, dtype=None):
          """ Align a face in the correct dimensions for reference against the output from a model.
  
          Parameters
 
</s> remove         return get_matrix_scaling(self._feed_matrix)
 </s> add         return get_matrix_scaling(self.feed_matrix) </s> remove                      x, w, y, h, landmarks_xy, filename)
 </s> add                      x, w, y, h, landmarks_xy,
                     {k: v.shape for k, v in mask} if mask is not None else mask,
                     filename) </s> remove                            self.left: self.right]
 </s> add                           self.left: self.right] </s> remove     def _padding_from_coverage(self, size, coverage_ratio):
 </s> add     @staticmethod
    def _padding_from_coverage(size, coverage_ratio): </s> remove                  landmarks_xy=None, filename=None):
 </s> add                  landmarks_xy=None, mask=None, filename=None):
                     self.feed_face.shape, self.feed_matrix)
                                            self.feed["padding"])
          self.feed["face"] = face if dtype is None else face.astype(dtype)
  
          logger.trace("Loaded feed face. (face_shape: %s, matrix: %s)",
                     self.feed_face.shape, self.feed_matrix)
  
      def load_reference_face(self, image, size=64, coverage_ratio=0.625, dtype=None):
          """ Align a face in the correct dimensions for reference against the output from a model.
  
          Parameters
keep keep keep keep replace keep keep keep keep keep
 Mask plugin cleanup

- PEP8 Fixes
- Remove config for non NN Masks
- Tidy up defaults helptext
- cli.py fix typos
- Remove unused imports and functions _base.py
- Standardize input_size param
- Enable and update documentation
- Change references from `aligner` to `masker`
- Change  input_size, output_size and coverage_ratio from kwargs to params
- Move load_aligned to batch input iterator
- Remove unnecessary self.input param
- Add softmax layer append function to KSession
- Remove references to KSession protected objects
- Standardize plugin output into finalize method
- Make masks full frame and add to lib.faces_detect
- Add masks to alignments.json (temporary zipped base64 solution) 
lib/faces_detect.py