      Methods for aligning a face are also callable from here.
  
      Parameters
      ----------
      image: np.ndarray, optional
          This is a generic image placeholder that should not be relied on to be holding a particular
          image. It may hold the source frame that holds the face, a cropped face or a scaled image
          depending on the method using this object.
      x: int
          The left most point (in pixels) of the face's bounding box as discovered in
          :mod:`plugins.extract.detect`
      w: int
          The width (in pixels) of the face's bounding box as discovered in
 
</s> remove     def training_coverage(self):
        """ The coverage ratio to add for training images """
        return 1.0
 </s> add     def _extract_ratio(self):
        """ float: The ratio of padding to add for training images """
        return 0.375 </s> remove         coverage_ratio: float
            The metric determining the field of view of the returned face
 </s> add  </s> remove             This should be a ``list`` or ``numpy.array`` of :attr:`batchsize` containing a
            ``list``, ``tuple`` or ``numpy.array`` of `(x, y)` co-ords of the 68 point landmarks
            as calculated from the :attr:`model`.
 </s> add             This should be a ``list`` or ``numpy.ndarray`` of :attr:`batchsize` containing a
            ``list``, ``tuple`` or ``numpy.ndarray`` of `(x, y)` coordinates of the 68 point
            landmarks as calculated from the :attr:`model`. </s> remove         self.face = image[self.top: self.bottom,
                          self.left: self.right]
 </s> add         self.image = image[self.top: self.bottom,
                           self.left: self.right] </s> remove         be overriden within plugins themselves.
 </s> add         be overridden within plugins themselves.
    image: numpy.ndarray, optional
        Original frame that holds this face. Optional (not required if just storing coordinates)
      Methods for aligning a face are also callable from here.
  
      Parameters
      ----------
    image: numpy.ndarray, optional
        Original frame that holds this face. Optional (not required if just storing coordinates)
    image: numpy.ndarray, optional
        Original frame that holds this face. Optional (not required if just storing coordinates)
    image: numpy.ndarray, optional
        Original frame that holds this face. Optional (not required if just storing coordinates)
    image: numpy.ndarray, optional
        Original frame that holds this face. Optional (not required if just storing coordinates)
      x: int
          The left most point (in pixels) of the face's bounding box as discovered in
          :mod:`plugins.extract.detect`
      w: int
          The width (in pixels) of the face's bounding box as discovered in
keep keep keep keep replace replace replace replace keep keep keep keep keep
 Smart Mask - Extract code review

- Lint simple_tests.py
- Only reformat alignments file if it exists otherwise change filename
- Update legacy alignments to new format at all stages
- faces_detect.Mask.from_dict - logging format fix
- convert.py fix otf for new pipeline
- cli.py - Add note that masks not used. Revert convert masks
- faces_detect.py - Revert non-extract code
- Add .p and .pickle extensions for serializer
- plugins/extract revert some changes
- scripts/fsmedia - Revert code changes
- Pipeline - cleanup
- Consistant alpha channel stripping (fixes single-process)
- Store landmarks as numpy array
- Code attribution
- Normalize feed face and reference face to 0.0 - 1.0 in convert
- Lock in mask VRAM sized
- Add documentation to plugin_loader
- Update alignments tool to work with new format 
lib/faces_detect.py