          The average distance of the core landmarks (18-67) from the mean face that was used for
          aligning the image.  Default: `0.0`
      adjusted_matrix: :class:`numpy.ndarray`, optional
          The 3x2 transformation matrix for extracting and aligning the core face area out of the
          original frame with padding and sizing applied. Default: ``None``
      interpolators: tuple, optional
          (`interpolator` and `reverse interpolator`) for the :attr:`adjusted matrix`.
 
</s> remove         self._active = not disable and (max_scale > 0.0 or min_scale > 0.0 or distance > 0.0)
        self._counts: Dict[str, int] = dict(min_scale=0, max_scale=0, distance=0, roll=0)
 </s> add         self._active = not disable and (feature_filter or
                                        max_scale > 0.0 or
                                        min_scale > 0.0 or
                                        distance > 0.0 or
                                        roll > 0.0)
        self._counts: Dict[str, int] = dict(features=0,
                                            min_scale=0,
                                            max_scale=0,
                                            distance=0,
                                            roll=0)
    relative_eye_mouth_position: float, optional
        A float value representing the relative position of the lowest eye/eye-brow point to the
        highest mouth point. Positive values indicate that eyes/eyebrows are aligned above the
        mouth, negative values indicate that eyes/eyebrows are misaligned below the mouth.
        Default: `0.0`
          The average distance of the core landmarks (18-67) from the mean face that was used for
          aligning the image.  Default: `0.0`
    relative_eye_mouth_position: float, optional
        A float value representing the relative position of the lowest eye/eye-brow point to the
        highest mouth point. Positive values indicate that eyes/eyebrows are aligned above the
        mouth, negative values indicate that eyes/eyebrows are misaligned below the mouth.
        Default: `0.0`
      adjusted_matrix: :class:`numpy.ndarray`, optional
          The 3x2 transformation matrix for extracting and aligning the core face area out of the
          original frame with padding and sizing applied. Default: ``None``
      interpolators: tuple, optional
          (`interpolator` and `reverse interpolator`) for the :attr:`adjusted matrix`.
keep add keep keep keep keep keep
 Aligner - Add feature position filter 
lib/align/aligned_face.py