  
  
  _HELPTEXT = (
      "VGG_Clear options. Mask designed to provide smart segmentation of mostly frontal faces clear "
      "of obstructions.  Profile faces and obstructions may result in sub-par performance."
      )
  
  
  _DEFAULTS = {
      "batch-size": {
 
</s> remove     "VGG_Obstructed options. Mask designed to provide smart segmentation of mostly frontal faces. "
    "The mask model has been specifically trained to recognize some facial obstructions ( "
    "hands and eyeglasses ). Profile faces may result in sub-par performance."
 </s> add     "VGG_Obstructed options. Mask designed to provide smart segmentation of mostly frontal "
    "faces.\nThe mask model has been specifically trained to recognize some facial obstructions "
    "(hands and eyeglasses). Profile faces may result in sub-par performance." </s> remove     "UNET_DFL options. Mask designed to provide smart segmentation of mostly frontal faces. "
 </s> add     "UNET_DFL options. Mask designed to provide smart segmentation of mostly frontal faces.\n" </s> remove                                       "based on the positioning of landmark locations. A convenx "
 </s> add                                       "based on the positioning of landmark locations. A convex " </s> remove                                       "locations. A convenx hull is constructed around the "
 </s> add                                       "locations. A convex hull is constructed around the " </s> remove         if (self._detector.vram == 0 and self._aligner.vram == 0 and self._masker.vram == 0
            or get_backend() != "nvidia"):
            logger.debug("Either detector and aligner have no VRAM requirements or not running "
                         "on Nvidia. Not updating batchsize requirements.")
 </s> add         if get_backend() != "nvidia":
            logger.debug("Backend is not Nvidia. Not updating batchsize requirements")
            return
        if self._detector.vram == 0 and self._aligner.vram == 0 and self._masker.vram == 0:
            logger.debug("Either detector, aligner or masker have no VRAM requirements. Not "
                         "updating batchsize requirements.")
    "of obstructions.\nProfile faces and obstructions may result in sub-par performance."
  
  
  _HELPTEXT = (
      "VGG_Clear options. Mask designed to provide smart segmentation of mostly frontal faces clear "
    "of obstructions.\nProfile faces and obstructions may result in sub-par performance."
      )
  
  
  _DEFAULTS = {
      "batch-size": {
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) 
plugins/extract/mask/vgg_clear_defaults.py