          "default": 8,
          "info": "The batch size to use. To a point, higher batch sizes equal better performance, "
                  "but setting it too high can harm performance.\n"
                  "\n\tNvidia users: If the batchsize is set higher than the your GPU can "
                  "accomodate then this will automatically be lowered."
                  "\n\tAMD users: A batchsize of 8 requires about xxxx GB vram.",
          "datatype": int,
          "rounding": 1,
          "min_max": (1, 64),
          "choices": [],
          "gui_radio": False,
 
</s>
                "accomodate then this will automatically be lowered.",
          "default": 8,
          "info": "The batch size to use. To a point, higher batch sizes equal better performance, "
                  "but setting it too high can harm performance.\n"
                  "\n\tNvidia users: If the batchsize is set higher than the your GPU can "
                "accomodate then this will automatically be lowered.",
                "accomodate then this will automatically be lowered.",
          "datatype": int,
          "rounding": 1,
          "min_max": (1, 64),
          "choices": [],
          "gui_radio": False,
keep keep keep keep replace replace keep keep keep keep keep
 Mask plugin cleanup

- PEP8 Fixes
- Remove config for non NN Masks
- Tidy up defaults helptext
- cli.py fix typos
- Remove unused imports and functions _base.py
- Standardize input_size param
- Enable and update documentation
- Change references from `aligner` to `masker`
- Change  input_size, output_size and coverage_ratio from kwargs to params
- Move load_aligned to batch input iterator
- Remove unnecessary self.input param
- Add softmax layer append function to KSession
- Remove references to KSession protected objects
- Standardize plugin output into finalize method
- Make masks full frame and add to lib.faces_detect
- Add masks to alignments.json (temporary zipped base64 solution)
plugins/extract/mask/vgg_obstructed_defaults.py