                     radio buttons rather than a combobox to display this option.
          min_max:   [partial] For <class 'int'> and <class 'float'> datatypes this is required
                     otherwise it is ignored. Should be a tuple of min and max accepted values.
                     This is used for controlling the GUI slider range. Values are not enforced.
          rounding:  [partial] For <class 'int'> and <class 'float'> datatypes this is
                     required otherwise it is ignored. Used for the GUI slider. For floats, this
                     is the number of decimal places to display. For ints this is the step size.
          fixed:     [optional] [train only]. Training configurations are fixed when the model is
                     created, and then reloaded from the state file. Marking an item as fixed=False
                     indicates that this value can be changed for existing models, and will override
 
</s> remove         rounding:  [partial] For <class 'int'> and <class 'float'> datatypes this is
 </s> add         rounding:  [partial] For <class 'int'> and <class 'float'> data types this is </s> remove         min_max:   [partial] For <class 'int'> and <class 'float'> datatypes this is required
 </s> add         min_max:   [partial] For <class 'int'> and <class 'float'> data types this is required </s> remove         min_max:   [partial] For <class 'int'> and <class 'float'> datatypes this is required
 </s> add         min_max:   [partial] For <class 'int'> and <class 'float'> data types this is required </s> remove                    correct type to faceswap. Valid datatypes are: <class 'int'>, <class 'float'>,
 </s> add                    correct type to faceswap. Valid data types are: <class 'int'>, <class 'float'>, </s> remove                    correct type to faceswap. Valid datatypes are: <class 'int'>, <class 'float'>,
 </s> add                    correct type to faceswap. Valid data types are: <class 'int'>, <class 'float'>,
        rounding:  [partial] For <class 'int'> and <class 'float'> data types this is
                     radio buttons rather than a combobox to display this option.
          min_max:   [partial] For <class 'int'> and <class 'float'> datatypes this is required
                     otherwise it is ignored. Should be a tuple of min and max accepted values.
                     This is used for controlling the GUI slider range. Values are not enforced.
        rounding:  [partial] For <class 'int'> and <class 'float'> data types this is
                     required otherwise it is ignored. Used for the GUI slider. For floats, this
                     is the number of decimal places to display. For ints this is the step size.
          fixed:     [optional] [train only]. Training configurations are fixed when the model is
                     created, and then reloaded from the state file. Marking an item as fixed=False
                     indicates that this value can be changed for existing models, and will override
keep keep keep keep replace keep keep keep keep keep
 Extract - Increase area and move centering (#1095)

* Extract
  - Implement aligner re-feeding
  - Add extract type to pipeline.ExtractMedia
  - Add pose annotation to debug
* Convert
  - implement centering
  - remove usage of feed and reference face properties
  - Remove distributed option from convert
  - Force update of alignments file on legacy receive
* Train
  - Resize preview image to model output size
  - Force legacy centering if centering does not exist in model's state file
  - Enable training on legacy face sets

* Alignments Tool
  - Update draw to include head/pose
  - Remove DFL drop + linting
  - Remove remove-frames job
  - remove align-eyes option
  - Update legacy masks to new extract type
  - Exit if attempting to merge version 1.0 alignments files with version 2.0 alignments files
  - Re-generate thumbnails on legacy upgrade
* Mask Tool
  - Update for new extract + bugfix full frame
* Manual Tool
  - Update to new extraction method
   - Disable legacy alignments,
   - extract box bugfix
   - extract faces - size to 512 and center on head
* Preview Tool
  - Display based on model centering
* Sort Tool
  - Use alignments for sort by face

* lib.aligner
  - Add Pose Class
  - Add AlignedFace Class
  - center _MEAN_FACE on x
  - Add meta information with versioning to alignments file
  - lib.aligner.get_align_matrix to use landmarks not face
  - Refactor aligned faces in lib.faces_detect
* lib.logger
  - larger file log padding
* lib.config
  - Fix global changeable_items
* lib.face_filter
  - Use new extracted face images
* lib.image
  - bump thumbnail default size to 96px 
plugins/convert/mask/box_blend_defaults.py