                      "sub-par performance."
                      "\nL|unet-dfl: Mask designed to provide smart segmentation of mostly frontal "
                      "faces. The mask model has been trained by community members and will need "
                      "testing for further description. Profile faces may result in sub-par "
                      "performance."})
          argument_list.append({
              "opts": ("-nm", "--normalization"),
              "action": Radio,
              "type": str.lower,
              "dest": "normalization",
 
</s> remove                     "\nL|components: Mask designed to provide facial segmentation based on the "
                    "positioning of landmark locations. A convex hull is constructed around the "
                    "exterior of the landmarks to create a mask."
                    "\nL|extended: Mask designed to provide facial segmentation based on the "
                    "positioning of landmark locations. A convex hull is constructed around the "
                    "exterior of the landmarks and the mask is extended upwards onto the forehead."
 </s> add  </s> remove             "choices": PluginLoader.get_available_extractors("mask", add_none=True),
            "default": "extended",
 </s> add             "choices": mask_choices,
            "default": "none", </s> remove             "help": "R|Masker to use."
 </s> add             "help": "R|Additional Masker to use. NB: The Extended and Components (landmark based) "
                    "masks are automatically generated on extraction. Any mask selected here "
                    "will be generated in addition to these default masks." </s> remove             import tkinter  # noqa pylint: disable=unused-import
 </s> add             import tkinter  # noqa pylint: disable=unused-import,import-outside-toplevel
                    "performance."
                    "\nThe auto generated masks are as follows:"
                    "\nL|components: Mask designed to provide facial segmentation based on the "
                    "positioning of landmark locations. A convex hull is constructed around the "
                    "exterior of the landmarks to create a mask."
                    "\nL|extended: Mask designed to provide facial segmentation based on the "
                    "positioning of landmark locations. A convex hull is constructed around the "
                    "exterior of the landmarks and the mask is extended upwards onto the "
                    "forehead."})
                      "sub-par performance."
                      "\nL|unet-dfl: Mask designed to provide smart segmentation of mostly frontal "
                      "faces. The mask model has been trained by community members and will need "
                      "testing for further description. Profile faces may result in sub-par "
                    "performance."
                    "\nThe auto generated masks are as follows:"
                    "\nL|components: Mask designed to provide facial segmentation based on the "
                    "positioning of landmark locations. A convex hull is constructed around the "
                    "exterior of the landmarks to create a mask."
                    "\nL|extended: Mask designed to provide facial segmentation based on the "
                    "positioning of landmark locations. A convex hull is constructed around the "
                    "exterior of the landmarks and the mask is extended upwards onto the "
                    "forehead."})
          argument_list.append({
              "opts": ("-nm", "--normalization"),
              "action": Radio,
              "type": str.lower,
              "dest": "normalization",
keep keep keep keep replace keep keep keep keep keep
 Extraction - Auto generate Components and Extended Masks 
lib/cli.py