                       self.__class__.__name__, configfile, input_size, output_size, coverage_ratio)
          super().__init__(git_model_id,
                           model_filename,
                           configfile=configfile)
          self.input_size = input_size
          self.output_size = output_size
          self.coverage_ratio = coverage_ratio
          self.extract = Extract()
  
          self._plugin_type = "mask"
          self._faces_per_filename = dict()  # Tracking for recompiling face batches
          self._rollover = []  # Items that are rolled over from the previous batch in get_batch
          self._output_faces = []
 
</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) </s> remove         """ Get items for inputting into the aligner from the queue in batches
 </s> add         """ Get items for inputting into the masker from the queue in batches </s> remove         self._masker = self._load_masker(masker,
                                         configfile,
                                         input_size,
                                         output_size,
                                         coverage_ratio)
 </s> add         self._masker = self._load_masker(masker, configfile) </s> remove                      multiprocess, rotate_images, min_size, normalize_method, input_size,
                     output_size, coverage_ratio)
 </s> add                      multiprocess, rotate_images, min_size, normalize_method) </s> remove                      "normalize_method: %s, input_size: %s, output_size: %s, coverage_ratio: %s)",
 </s> add                      "normalize_method: %s)",
        self.input_size = 256  # Overide for model specific input_size
        self.blur_kernel = 5  # Overide for model specific blur_kernel size
        self.coverage_ratio = 1.0  # Overide for model specific coverage_ratio
                       self.__class__.__name__, configfile, input_size, output_size, coverage_ratio)
          super().__init__(git_model_id,
                           model_filename,
                           configfile=configfile)
        self.input_size = 256  # Overide for model specific input_size
        self.blur_kernel = 5  # Overide for model specific blur_kernel size
        self.coverage_ratio = 1.0  # Overide for model specific coverage_ratio
        self.input_size = 256  # Overide for model specific input_size
        self.blur_kernel = 5  # Overide for model specific blur_kernel size
        self.coverage_ratio = 1.0  # Overide for model specific coverage_ratio
        self.input_size = 256  # Overide for model specific input_size
        self.blur_kernel = 5  # Overide for model specific blur_kernel size
        self.coverage_ratio = 1.0  # Overide for model specific coverage_ratio
        self.input_size = 256  # Overide for model specific input_size
        self.blur_kernel = 5  # Overide for model specific blur_kernel size
        self.coverage_ratio = 1.0  # Overide for model specific coverage_ratio
  
          self._plugin_type = "mask"
          self._faces_per_filename = dict()  # Tracking for recompiling face batches
          self._rollover = []  # Items that are rolled over from the previous batch in get_batch
          self._output_faces = []
keep keep keep keep replace replace replace 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) 
plugins/extract/mask/_base.py