          return extractors
  
      @staticmethod
      def get_default_model():
          """ Return the default model """
          models = PluginLoader.get_available_models()
          return 'original' if 'original' in models else models[0]
  
 
</s> remove     @staticmethod
    def get_available_models():
        """ Return a list of available models """
        modelpath = os.path.join(os.path.dirname(__file__), "train", "model")
        models = sorted(item.name.replace(".py", "").replace("_", "-")
                        for item in os.scandir(modelpath)
                        if not item.name.startswith("_")
                        and item.name.endswith(".py"))
        return models

    @staticmethod
    def get_available_converters():
        """ Return a list of available converters """
        converter_path = os.path.join(os.path.dirname(__file__), "convert")
        converters = sorted(item.name.replace(".py", "").replace("_", "-")
                            for item in os.scandir(converter_path)
                            if not item.name.startswith("_")
                            and item.name.endswith(".py"))
        return converters

 </s> add  </s> remove     return merge_mask(face, mask, channels)
 </s> add def get_default_mask():
    """ Set the default mask for cli """
    masks = get_available_masks()
    default = "dfl_full"
    default = default if default in masks else masks[0]
    logger.debug(default)
    return default </s> remove             retval = self.predictors["a"].predict
 </s> add             model = self.predictors["a"]
    @staticmethod
    def get_available_models():
        """ Return a list of available models """
        modelpath = os.path.join(os.path.dirname(__file__), "train", "model")
        models = sorted(item.name.replace(".py", "").replace("_", "-")
                        for item in os.scandir(modelpath)
                        if not item.name.startswith("_")
                        and item.name.endswith(".py"))
        return models


          return extractors
  
    @staticmethod
    def get_available_models():
        """ Return a list of available models """
        modelpath = os.path.join(os.path.dirname(__file__), "train", "model")
        models = sorted(item.name.replace(".py", "").replace("_", "-")
                        for item in os.scandir(modelpath)
                        if not item.name.startswith("_")
                        and item.name.endswith(".py"))
        return models

      @staticmethod
      def get_default_model():
          """ Return the default model """
          models = PluginLoader.get_available_models()
          return 'original' if 'original' in models else models[0]
  
keep add keep keep keep keep keep keep
 Convert refactor (#703)

* Separate predict and implement pool

* Add check and raise error to multithreading

Box functions to config. Add crop box option.

* All masks to mask module. Refactor convert masks

Predicted mask passed from model. Cli update

* Intesect box with mask and fixes

* Use raw NN output for convert

Use raw mask for face adjustments. Split adjustments to pre and post warp

* Separate out adjustments. Add unmask sharpen

* Set sensible defaults. Pre PR Testing

* Fix queue sizes. Move masked.py to lib

* Fix Skip Frames. Fix GUI Config popup

* Sensible queue limits. Add a less resource intensive single processing mode

* Fix predicted mask. Amend smooth box defaults

* Deterministic ordering for video output

* Video to Video convert implemented

* Fixups

- Remove defaults from folders across all stages
- Move match-hist and aca into color adjustments selectable
- Handle crashes properly for pooled processes
- Fix output directory does not exist error when creating a new output folder
- Force output to frames if input is not a video

* Add Color Transfer adjustment method

Wrap info text in GUI plugin configure popup

* Refactor image adjustments. Easier to create plugins

Start implementing config options for video encoding

* Add video encoding config options

Allow video encoding for frames input (must pass in a reference video)
Move video and image output writers to plugins

* Image writers config options

Move scaling to cli
Move draw_transparent to images config
Add config options for cv2 writer
Add Pillow image writer

* Add gif filetype to Pillow. Fix draw transparent for Pillow

* Add Animated GIF writer

standardize opencv/pillow defaults

* [speedup] Pre-encode supported writers in the convert pool (opencv, pillow)

Move scaling to convert pool
Remove dfaker mask

* Fix default writer

* Bugfixes

* Better custom argparse formatting 
plugins/plugin_loader.py