              dest="extract_every_n",
              min_max=(1, 100),
              default=1,
              rounding=1,
              group="extract",
              help="[Extract only] Extract every 'nth' frame. This option will skip frames when "
                   "extracting faces. For example a value of 1 will extract faces from every frame, "
                   "a value of 10 will extract faces from every 10th frame."))
          argument_list.append(dict(
              opts=("-sz", "--size"),
              type=int,
              action=Slider,
              min_max=(256, 1024),
 
</s> remove             group="output",
            help="Extract every 'nth' frame. This option will skip frames when extracting "
                 "faces. For example a value of 1 will extract faces from every frame, a value "
                 "of 10 will extract faces from every 10th frame."))
 </s> add             group=_("output"),
            help=_("Extract every 'nth' frame. This option will skip frames when extracting "
                   "faces. For example a value of 1 will extract faces from every frame, a value "
                   "of 10 will extract faces from every 10th frame."))) </s> remove             group="output",
            help="The output size of extracted faces. Make sure that the model you intend to "
                 "train supports your required size. This will only need to be changed for "
                 "hi-res models."))
 </s> add             group=_("output"),
            help=_("The output size of extracted faces. Make sure that the model you intend to "
                   "train supports your required size. This will only need to be changed for "
                   "hi-res models."))) </s> remove             group="extract",
 </s> add             group=_("extract"), </s> remove             help="[Extract only] Only extract faces that have not been upscaled to the required "
                 "size (`-sz`, `--size). Useful for excluding low-res images from a training "
                 "set."))
 </s> add             help=_("[Extract only] Only extract faces that have not been upscaled to the required "
                   "size (`-sz`, `--size). Useful for excluding low-res images from a training "
                   "set."))) </s> remove             group="extract",
 </s> add             group=_("extract"),
            group=_("extract"),
            help=_("[Extract only] Extract every 'nth' frame. This option will skip frames when "
                   "extracting faces. For example a value of 1 will extract faces from every "
                   "frame, a value of 10 will extract faces from every 10th frame.")))
              dest="extract_every_n",
              min_max=(1, 100),
              default=1,
              rounding=1,
            group=_("extract"),
            help=_("[Extract only] Extract every 'nth' frame. This option will skip frames when "
                   "extracting faces. For example a value of 1 will extract faces from every "
                   "frame, a value of 10 will extract faces from every 10th frame.")))
            group=_("extract"),
            help=_("[Extract only] Extract every 'nth' frame. This option will skip frames when "
                   "extracting faces. For example a value of 1 will extract faces from every "
                   "frame, a value of 10 will extract faces from every 10th frame.")))
            group=_("extract"),
            help=_("[Extract only] Extract every 'nth' frame. This option will skip frames when "
                   "extracting faces. For example a value of 1 will extract faces from every "
                   "frame, a value of 10 will extract faces from every 10th frame.")))
            group=_("extract"),
            help=_("[Extract only] Extract every 'nth' frame. This option will skip frames when "
                   "extracting faces. For example a value of 1 will extract faces from every "
                   "frame, a value of 10 will extract faces from every 10th frame.")))
          argument_list.append(dict(
              opts=("-sz", "--size"),
              type=int,
              action=Slider,
              min_max=(256, 1024),
keep keep keep keep replace replace replace replace keep keep keep keep keep
 Add Locale support for cli arguments 
tools/alignments/cli.py