              type=str.lower,
              nargs="+",
              choices=[mask for mask in PluginLoader.get_available_extractors("mask")
                       if mask not in ("components", "extended")],
              group="Plugins",
              help="R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)"))
          argument_list.append(dict(
              opts=("-nm", "--normalization"),
              action=Radio,
              type=str.lower,
              dest="normalization",
 
</s> remove             group="Plugins",
            help="R|Masker to use. NB: The mask you require must exist within the alignments "
                 "file. You can add additional masks with the Mask Tool."
                 "\nL|none: Don't use a mask."
                 "\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."
                 "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                 "faces clear of obstructions. Profile faces and obstructions may result in "
                 "sub-par performance."
                 "\nL|vgg-obstructed: 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."
                 "\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."))
 </s> add             group=_("Plugins"),
            help=_("R|Masker to use. NB: The mask you require must exist within the alignments "
                   "file. You can add additional masks with the Mask Tool."
                   "\nL|none: Don't use a mask."
                   "\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."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."))) </s> remove         argument_list.append({
            "opts": ("-a", "--alignments"),
            "action": FileFullPaths,
            "type": str,
            "group": "data",
            "required": True,
            "filetypes": "alignments",
            "help": "Full path to the alignments file to add the mask to. NB: if the mask already "
                    "exists in the alignments file it will be overwritten."})
        argument_list.append({
            "opts": ("-i", "--input"),
            "action": DirOrFileFullPaths,
            "type": str,
            "group": "data",
            "filetypes": "video",
            "required": True,
            "help": "Directory containing extracted faces, source frames, or a video file."})
        argument_list.append({
            "opts": ("-it", "--input-type"),
            "action": Radio,
            "type": str.lower,
            "choices": ("faces", "frames"),
            "dest": "input_type",
            "group": "data",
            "default": "frames",
            "help": "R|Whether the `input` is a folder of faces or a folder frames/video"
                    "\nL|faces: The input is a folder containing extracted faces."
                    "\nL|frames: The input is a folder containing frames or is a video"})
        argument_list.append({
            "opts": ("-M", "--masker"),
            "action": Radio,
            "type": str.lower,
            "choices": PluginLoader.get_available_extractors("mask"),
            "default": "extended",
            "group": "process",
            "help": "R|Masker to use."
                    "\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."
                    "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                    "faces clear of obstructions. Profile faces and obstructions may result in "
                    "sub-par performance."
                    "\nL|vgg-obstructed: 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."
                    "\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": ("-p", "--processing"),
            "action": Radio,
            "type": str.lower,
            "choices": ("all", "missing", "output"),
            "default": "missing",
            "group": "process",
            "help": "R|Whether to update all masks in the alignments files, only those faces "
                    "that do not already have a mask of the given `mask type` or just to output "
                    "the masks to the `output` location."
                    "\nL|all: Update the mask for all faces in the alignments file."
                    "\nL|missing: Create a mask for all faces in the alignments file where a mask "
                    "does not previously exist."
                    "\nL|output: Don't update the masks, just output them for review in the given "
                    "output folder."})
        argument_list.append({
            "opts": ("-o", "--output-folder"),
            "action": DirFullPaths,
            "dest": "output",
            "type": str,
            "group": "output",
            "help": "Optional output location. If provided, a preview of the masks created will "
                    "be output in the given folder."})
        argument_list.append({
            "opts": ("-b", "--blur_kernel"),
            "action": Slider,
            "type": int,
            "group": "output",
            "min_max": (0, 9),
            "default": 3,
            "rounding": 1,
            "help": "Apply gaussian blur to the mask output. Has the effect of smoothing the "
                    "edges of the mask giving less of a hard edge. the size is in pixels. This "
                    "value should be odd, if an even number is passed in then it will be rounded "
                    "to the next odd number. NB: Only effects the output preview. Set to 0 for "
                    "off"})
        argument_list.append({
            "opts": ("-t", "--threshold"),
            "action": Slider,
            "type": int,
            "group": "output",
            "min_max": (0, 50),
            "default": 4,
            "rounding": 1,
            "help": "Helps reduce 'blotchiness' on some masks by making light shades white "
                    "and dark shades black. Higher values will impact more of the mask. NB: "
                    "Only effects the output preview. Set to 0 for off"})
        argument_list.append({
            "opts": ("-ot", "--output-type"),
            "action": Radio,
            "type": str.lower,
            "choices": ("combined", "masked", "mask"),
            "default": "combined",
            "group": "output",
            "help": "R|How to format the output when processing is set to 'output'."
                    "\nL|combined: The image contains the face/frame, face mask and masked face."
                    "\nL|masked: Output the face/frame as rgba image with the face masked."
                    "\nL|mask: Only output the mask as a single channel image."})
        argument_list.append({
            "opts": ("-f", "--full-frame"),
            "action": "store_true",
            "default": False,
            "group": "output",
            "help": "R|Whether to output the whole frame or only the face box when using "
                    "output processing. Only has an effect when using frames as input."})
 </s> add         argument_list.append(dict(
            opts=("-a", "--alignments"),
            action=FileFullPaths,
            type=str,
            group=_("data"),
            required=True,
            filetypes="alignments",
            help=_("Full path to the alignments file to add the mask to. NB: if the mask already "
                   "exists in the alignments file it will be overwritten.")))
        argument_list.append(dict(
            opts=("-i", "--input"),
            action=DirOrFileFullPaths,
            type=str,
            group=_("data"),
            filetypes="video",
            required=True,
            help=_("Directory containing extracted faces, source frames, or a video file.")))
        argument_list.append(dict(
            opts=("-it", "--input-type"),
            action=Radio,
            type=str.lower,
            choices=("faces", "frames"),
            dest="input_type",
            group=_("data"),
            default="frames",
            help=_("R|Whether the `input` is a folder of faces or a folder frames/video"
                   "\nL|faces: The input is a folder containing extracted faces."
                   "\nL|frames: The input is a folder containing frames or is a video")))
        argument_list.append(dict(
            opts=("-M", "--masker"),
            action=Radio,
            type=str.lower,
            choices=PluginLoader.get_available_extractors("mask"),
            default="extended",
            group=_("process"),
            help=_("R|Masker to use."
                   "\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."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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(dict(
            opts=("-p", "--processing"),
            action=Radio,
            type=str.lower,
            choices=("all", "missing", "output"),
            default="missing",
            group=_("process"),
            help=_("R|Whether to update all masks in the alignments files, only those faces "
                   "that do not already have a mask of the given `mask type` or just to output "
                   "the masks to the `output` location."
                   "\nL|all: Update the mask for all faces in the alignments file."
                   "\nL|missing: Create a mask for all faces in the alignments file where a mask "
                   "does not previously exist."
                   "\nL|output: Don't update the masks, just output them for review in the given "
                   "output folder.")))
        argument_list.append(dict(
            opts=("-o", "--output-folder"),
            action=DirFullPaths,
            dest="output",
            type=str,
            group=_("output"),
            help=_("Optional output location. If provided, a preview of the masks created will "
                   "be output in the given folder.")))
        argument_list.append(dict(
            opts=("-b", "--blur_kernel"),
            action=Slider,
            type=int,
            group=_("output"),
            min_max=(0, 9),
            default=3,
            rounding=1,
            help=_("Apply gaussian blur to the mask output. Has the effect of smoothing the "
                   "edges of the mask giving less of a hard edge. the size is in pixels. This "
                   "value should be odd, if an even number is passed in then it will be rounded "
                   "to the next odd number. NB: Only effects the output preview. Set to 0 for "
                   "off")))
        argument_list.append(dict(
            opts=("-t", "--threshold"),
            action=Slider,
            type=int,
            group=_("output"),
            min_max=(0, 50),
            default=4,
            rounding=1,
            help=_("Helps reduce 'blotchiness' on some masks by making light shades white "
                   "and dark shades black. Higher values will impact more of the mask. NB: "
                   "Only effects the output preview. Set to 0 for off")))
        argument_list.append(dict(
            opts=("-ot", "--output-type"),
            action=Radio,
            type=str.lower,
            choices=("combined", "masked", "mask"),
            default="combined",
            group=_("output"),
            help=_("R|How to format the output when processing is set to 'output'."
                   "\nL|combined: The image contains the face/frame, face mask and masked face."
                   "\nL|masked: Output the face/frame as rgba image with the face masked."
                   "\nL|mask: Only output the mask as a single channel image.")))
        argument_list.append(dict(
            opts=("-f", "--full-frame"),
            action="store_true",
            default=False,
            group=_("output"),
            help=_("R|Whether to output the whole frame or only the face box when using "
                   "output processing. Only has an effect when using frames as input."))) </s> remove             help="R|Choose which action you want to perform. NB: All actions require an "
                 "alignments file (-a) to be passed in."
                 "\nL|'draw': Draw landmarks on frames in the selected folder/video. A subfolder "
                 "will be created within the frames folder to hold the output.{0}"
                 "\nL|'extract': Re-extract faces from the source frames/video based on alignment "
                 "data. This is a lot quicker than re-detecting faces. Can pass in the '-een' "
                 "(--extract-every-n) parameter to only extract every nth frame.{1}"
                 "\nL|'missing-alignments': Identify frames that do not exist in the alignments "
                 "file.{2}{0}"
                 "\nL|'missing-frames': Identify frames in the alignments file that do not appear "
                 "within the frames folder/video.{2}{0}"
                 "\nL|'multi-faces': Identify where multiple faces exist within the alignments "
                 "file.{2}{4}"
                 "\nL|'no-faces': Identify frames that exist within the alignment file but no "
                 "faces were detected.{2}{0}"
                 "\nL|'remove-faces': Remove deleted faces from an alignments file. The original "
                 "alignments file will be backed up.{3}"
                 "\nL|'rename' - Rename faces to correspond with their parent frame and position "
                 "index in the alignments file (i.e. how they are named after running extract).{3}"
                 "\nL|'sort': Re-index the alignments from left to right. For alignments with "
                 "multiple faces this will ensure that the left-most face is at index 0."
                 "\nL|'spatial': Perform spatial and temporal filtering to smooth alignments "
                 "(EXPERIMENTAL!)".format(frames_dir, frames_and_faces_dir, output_opts, faces_dir,
                                          frames_or_faces_dir)))
 </s> add             help=_("R|Choose which action you want to perform. NB: All actions require an "
                   "alignments file (-a) to be passed in."
                   "\nL|'draw': Draw landmarks on frames in the selected folder/video. A "
                   "subfolder will be created within the frames folder to hold the output.{0}"
                   "\nL|'extract': Re-extract faces from the source frames/video based on "
                   "alignment data. This is a lot quicker than re-detecting faces. Can pass in "
                   "the '-een' (--extract-every-n) parameter to only extract every nth frame.{1}"
                   "\nL|'missing-alignments': Identify frames that do not exist in the alignments "
                   "file.{2}{0}"
                   "\nL|'missing-frames': Identify frames in the alignments file that do not "
                   "appear within the frames folder/video.{2}{0}"
                   "\nL|'multi-faces': Identify where multiple faces exist within the alignments "
                   "file.{2}{4}"
                   "\nL|'no-faces': Identify frames that exist within the alignment file but no "
                   "faces were detected.{2}{0}"
                   "\nL|'remove-faces': Remove deleted faces from an alignments file. The "
                   "original alignments file will be backed up.{3}"
                   "\nL|'rename' - Rename faces to correspond with their parent frame and "
                   "position index in the alignments file (i.e. how they are named after running "
                   "extract).{3}"
                   "\nL|'sort': Re-index the alignments from left to right. For alignments with "
                   "multiple faces this will ensure that the left-most face is at index 0."
                   "\nL|'spatial': Perform spatial and temporal filtering to smooth alignments "
                   "(EXPERIMENTAL!)").format(frames_dir, frames_and_faces_dir, output_opts,
                                             faces_dir, frames_or_faces_dir))) </s> remove             group="Plugins",
            help="R|Detector to use. Some of these have configurable settings in "
                 "'/config/extract.ini' or 'Settings > Configure Extract 'Plugins':"
                 "\nL|cv2-dnn: A CPU only extractor which is the least reliable and least "
                 "resource intensive. Use this if not using a GPU and time is important."
                 "\nL|mtcnn: Good detector. Fast on CPU, faster on GPU. Uses fewer resources "
                 "than other GPU detectors but can often return more false positives."
                 "\nL|s3fd: Best detector. Slow on CPU, faster on GPU. Can detect more faces and "
                 "fewer false positives than other GPU detectors, but is a lot more resource "
                 "intensive."))
 </s> add             group=_("Plugins"),
            help=_("R|Detector to use. Some of these have configurable settings in "
                   "'/config/extract.ini' or 'Settings > Configure Extract 'Plugins':"
                   "\nL|cv2-dnn: A CPU only extractor which is the least reliable and least "
                   "resource intensive. Use this if not using a GPU and time is important."
                   "\nL|mtcnn: Good detector. Fast on CPU, faster on GPU. Uses fewer resources "
                   "than other GPU detectors but can often return more false positives."
                   "\nL|s3fd: Best detector. Slow on CPU, faster on GPU. Can detect more faces "
                   "and fewer false positives than other GPU detectors, but is a lot more "
                   "resource intensive."))) </s> remove             group="plugins",
            help="The number of times to re-feed the detected face into the aligner. Each time "
                 "the face is re-fed into the aligner the bounding box is adjusted by a small "
                 "amount. The final landmarks are then averaged from each iteration. Helps to "
                 "remove 'micro-jitter' but at the cost of slower extraction speed. The more "
                 "times the face is re-fed into the aligner, the less micro-jitter should occur "
                 "but the longer extraction will take."))
 </s> add             group=_("Plugins"),
            help=_("The number of times to re-feed the detected face into the aligner. Each time "
                   "the face is re-fed into the aligner the bounding box is adjusted by a small "
                   "amount. The final landmarks are then averaged from each iteration. Helps to "
                   "remove 'micro-jitter' but at the cost of slower extraction speed. The more "
                   "times the face is re-fed into the aligner, the less micro-jitter should occur "
                   "but the longer extraction will take.")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
              type=str.lower,
              nargs="+",
              choices=[mask for mask in PluginLoader.get_available_extractors("mask")
                       if mask not in ("components", "extended")],
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
            group=_("Plugins"),
            help=_("R|Additional Masker(s) to use. The masks generated here will all take up GPU "
                   "RAM. You can select none, one or multiple masks, but the extraction may take "
                   "longer the more you select. NB: The Extended and Components (landmark based) "
                   "masks are automatically generated on extraction."
                   "\nL|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
                   "faces clear of obstructions. Profile faces and obstructions may result in "
                   "sub-par performance."
                   "\nL|vgg-obstructed: 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."
                   "\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."
                   "\n(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)")))
          argument_list.append(dict(
              opts=("-nm", "--normalization"),
              action=Radio,
              type=str.lower,
              dest="normalization",
keep keep keep keep replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace keep keep keep keep keep
 Add Locale support for cli arguments 
lib/cli/args.py