          :mod:`plugins.extract.detect`
      landmarks_xy: list
          The 68 point landmarks as discovered in :mod:`plugins.extract.align`. Should be a ``list``
          of 68 `(x, y)` ``tuples`` with each of the landmark co-ordinates.
      """
      def __init__(self, image=None, x=None, w=None, y=None, h=None,
                   landmarks_xy=None, mask=None, filename=None):
          logger.trace("Initializing %s: (image: %s, x: %s, w: %s, y: %s, h:%s, "
                       "landmarks_xy: %s, filename: %s)",
                       self.__class__.__name__,
 
</s> remove                  landmarks_xy=None, filename=None):
 </s> add                  landmarks_xy=None, mask=None, filename=None): </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                  normalize_method=None, input_size=256, output_size=256, coverage_ratio=1.):
 </s> add                  normalize_method=None): </s> remove                      "normalize_method: %s, input_size: %s, output_size: %s, coverage_ratio: %s)",
 </s> add                      "normalize_method: %s)", </s> remove     def __init__(self, git_model_id=None, model_filename=None,
                 configfile=None, input_size=256, output_size=256, coverage_ratio=1.):
        logger.debug("Initializing %s: (configfile: %s, input_size: %s, "
                     "output_size: %s, coverage_ratio: %s)",
                     self.__class__.__name__, configfile, input_size, output_size, coverage_ratio)
 </s> add     def __init__(self, git_model_id=None, model_filename=None, configfile=None):
        logger.debug("Initializing %s: (configfile: %s, )", self.__class__.__name__, configfile)
    mask: dict
        The generated mask(s) for the face as generated in :mod:`plugins.extract.mask`. Must be a
        dict of `{name (str): mask (numpy.ndarray)}
          :mod:`plugins.extract.detect`
      landmarks_xy: list
          The 68 point landmarks as discovered in :mod:`plugins.extract.align`. Should be a ``list``
          of 68 `(x, y)` ``tuples`` with each of the landmark co-ordinates.
    mask: dict
        The generated mask(s) for the face as generated in :mod:`plugins.extract.mask`. Must be a
        dict of `{name (str): mask (numpy.ndarray)}
      """
      def __init__(self, image=None, x=None, w=None, y=None, h=None,
                   landmarks_xy=None, mask=None, filename=None):
          logger.trace("Initializing %s: (image: %s, x: %s, w: %s, y: %s, h:%s, "
                       "landmarks_xy: %s, filename: %s)",
                       self.__class__.__name__,
keep keep keep add keep 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