              logger.debug("No arguments to update")
              return
          for key, val in self.converter_arguments.items():
              logger.debug("Updating %s to %s", key, val)
              setattr(self.converter.args, key, val)
          logger.debug("Updated Converter cli arguments")
  
      @staticmethod
      def feed_swapped_faces(patch_queue_in, samples):
          """ Feed swapped faces to the converter and trigger a run """
 
</s> remove     def feed_swapped_faces(patch_queue_in, samples):
        """ Feed swapped faces to the converter and trigger a run """
 </s> add     def _feed_swapped_faces(patch_queue_in, samples):
        """ Feed swapped faces to the converter's in-queue.

        Parameters
        ----------
        patch_queue_in: :class:`queue.Queue`
            The input queue for the patching process
        samples: :class:`Samples`
            The Samples for display.
        """ </s> remove     def update_converter_arguments(self):
        """ Update the converter arguments """
 </s> add     def _update_converter_arguments(self):
        """ Update the converter arguments to the currently selected values. """ </s> remove         for key, val in self.options.items():
            if key == "helptext":
                continue
            value = val.get("value", val["default"])
            ctl = ControlBuilder(self.optsframe,
                                 key,
                                 val["type"],
                                 value,
                                 selected_value=None,
                                 choices=val["choices"],
                                 is_radio=val["gui_radio"],
                                 rounding=val["rounding"],
                                 min_max=val["min_max"],
                                 helptext=val["helptext"],
                                 radio_columns=4)
            parent.config_tools.tk_vars.setdefault(config_key, dict())[key] = ctl.tk_var
        self.add_frame_separator()
        self.add_actions(parent, config_key)
 </s> add         Parameters
        ----------
        parent: tkinter object
            The tkinter object that will hold this configuration frame
        config_key: str
            The section/plugin key for these configuration options
        """
        logger.debug("Add Config Frame")
        panel_kwargs = dict(columns=2, option_columns=2, blank_nones=False)
        frame = ttk.Frame(self)
        frame.pack(side=tk.TOP, fill=tk.BOTH, expand=True)
        cp_options = [opt for key, opt in self._options.items() if key != "helptext"]
        ControlPanel(frame, cp_options, header_text=None, **panel_kwargs)
        self._add_actions(parent, config_key) </s> remove     def build_frame(self, parent, config_key):
        """ Build the options frame for this command """
        logger.debug("Add Config Frame")
 </s> add     def _build_frame(self, parent, config_key):
        """ Build the options frame for this command </s> remove         """ Return a dict of cli arguments for converter based on selected options """
 </s> add         """ dict: Currently selected Command line arguments from the :class:`ActionFrame`. """
            setattr(self._converter.cli_arguments, key, val)
              logger.debug("No arguments to update")
              return
          for key, val in self.converter_arguments.items():
              logger.debug("Updating %s to %s", key, val)
            setattr(self._converter.cli_arguments, key, val)
          logger.debug("Updated Converter cli arguments")
  
      @staticmethod
      def feed_swapped_faces(patch_queue_in, samples):
          """ Feed swapped faces to the converter and trigger a run """
keep keep keep keep replace keep keep keep keep keep
 Smart Masks to Convert (#957)

- scripts.convert - Use Smart Masks for Convert
    * Make on-the-fly conversion an explicit option

- Move BlurMask to lib.faces_detect

- tools.preview - Fix for smart masks
    * Subclass from tk.Tk
    * Options to lib.gui.control_helper
    *variable cleanup

- lib.logger - Demote more tensorflow deprecation messages

- Documentation:
    * lib.faces_detect.BlurMask
    * plugins.convert.mask
    * lib.convert
    * scripts.convert
    * scripts.fsmedia
    * tools.preview 
tools/preview.py