          logger.debug("Initialized: %s", self.__class__.__name__)
  
      def set_defaults(self):
          """ Override for plugin specific config defaults
  
              Should be a series of self.add_section() and self.add_item() calls
  
 
</s> remove     @property
    def changeable_items(self):
        """ Training only.
            Return a dict of config items with their set values for items
            that can be altered after the model has been created """
        retval = dict()
        for sect in ("global", self.section):
            for key, val in self.defaults[sect].items():
                if key == "helptext" or val["fixed"]:
                    continue
                retval[key] = self.get(sect, key)
        logger.debug("Alterable for existing models: %s", retval)
        return retval

 </s> add  </s> remove         logger.info("Loading config: '%s'", self.configfile)
 </s> add         logger.verbose("Loading config: '%s'", self.configfile) </s> remove             "choices": ["ellipse",
                        "facehull",
                        "dfl",
                        #  "cnn",  Removed until implemented
                        "none"],
            "default": "facehull",
            "help": "R|Mask to use to replace faces."
                    "\nellipse: Oval around face."
                    "\nfacehull: Face cutout based on landmarks."
                    "\ndfl: A Face Hull mask from DeepFaceLabs."
                    #  "\ncnn: Not yet implemented"  Removed until implemented
                    "\nnone: No mask. Can still use blur and erode on the edges of the swap box."})
        argument_list.append({"opts": ("-b", "--blur-size"),
                              "type": float,
                              "action": Slider,
                              "min_max": (0.0, 100.0),
                              "rounding": 2,
                              "default": 5.0,
                              "help": "Blur kernel size as a percentage of the swap area. Smooths "
                                      "the transition between the swapped face and the background "
                                      "image."})
        argument_list.append({"opts": ("-e", "--erosion-size"),
                              "dest": "erosion_size",
                              "type": float,
 </s> add             "choices": get_available_masks() + ["predicted"],
            "default": "predicted",
            "help": "R|Mask to use to replace faces. Blending of the masks can be adjusted in "
                    "'/config/convert.ini' or 'Edit > Configure Convert Plugins':"
                    "\nL|components: An improved face hull mask using a facehull of 8 facial "
                    "parts."
                    "\nL|dfl_full: An improved face hull mask using a facehull of 3 facial parts."
                    "\nL|facehull: Face cutout based on landmarks."
                    "\nL|predicted: The predicted mask generated from the model. If the model was "
                    "not trained with a mask then this will fallback to "
                    "'{}'".format(get_default_mask()) +
                    "\nL|none: Don't use a mask."})
        argument_list.append({"opts": ("-w", "--writer"),
                              "action": Radio,
                              "type": str,
                              "choices": PluginLoader.get_available_convert_plugins("writer",
                                                                                    False),
                              "default": "opencv",
                              "help": "R|The plugin to use to output the converted images. The "
                                      "writers are configurable in '/config/convert.ini' or `Edit "
                                      "> Configure Convert Plugins:'"
                                      "\nL|ffmpeg: [video] Writes out the convert straight to "
                                      "video. When the input is a series of images then the "
                                      "'-ref' (--reference-video) parameter must be set."
                                      "\nL|gif: [animated image] Create an animated gif."
                                      "\nL|opencv: [images] The fastest image writer, but less "
                                      "options and formats than other plugins."
                                      "\nL|pillow: [images] Slower than opencv, but has more "
                                      "options and supports more formats."})
        argument_list.append({"opts": ("-osc", "--output-scale"),
                              "dest": "output_scale",
    @property
    def changeable_items(self):
        """ Training only.
            Return a dict of config items with their set values for items
            that can be altered after the model has been created """
        retval = dict()
        for sect in ("global", self.section):
            for key, val in self.defaults[sect].items():
                if key == "helptext" or val["fixed"]:
                    continue
                retval[key] = self.get(sect, key)
        logger.debug("Alterable for existing models: %s", retval)
        return retval

          logger.debug("Initialized: %s", self.__class__.__name__)
  
    @property
    def changeable_items(self):
        """ Training only.
            Return a dict of config items with their set values for items
            that can be altered after the model has been created """
        retval = dict()
        for sect in ("global", self.section):
            for key, val in self.defaults[sect].items():
                if key == "helptext" or val["fixed"]:
                    continue
                retval[key] = self.get(sect, key)
        logger.debug("Alterable for existing models: %s", retval)
        return retval

      def set_defaults(self):
          """ Override for plugin specific config defaults
  
              Should be a series of self.add_section() and self.add_item() calls
  
keep add 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 
lib/config.py