  
  #: lib/cli/args.py:394
  msgid ""
  "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.\n"
  "L|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.\n"
  "L|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.\n"
  "L|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.\n"
  "The auto generated masks are as follows:\n"
  "L|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.\n"
  "L|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"
 
</s> remove #: tools/mask/cli.py:88
 </s> add #: tools/mask/cli.py:91
"L|bisenet-fp: Relatively lightweight NN based mask that provides more refined control over the area to be masked including full head masking (configurable in mask settings).\n"
  
  #: lib/cli/args.py:394
  msgid ""
  "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.\n"
"L|bisenet-fp: Relatively lightweight NN based mask that provides more refined control over the area to be masked including full head masking (configurable in mask settings).\n"
  "L|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.\n"
  "L|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.\n"
  "L|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.\n"
  "The auto generated masks are as follows:\n"
  "L|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.\n"
  "L|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"
keep keep keep add keep keep keep keep keep keep
 Masks updates
  - Add head centering support to training
  - Update helptext/tooltips 
locales/lib.cli.args.pot