  
  
  class TrainingDataGenerator():  # pylint:disable=too-few-public-methods
      """ A Training Data Generator for compiling data for feeding to a model.
  
      This class is called from :mod:`plugins.train.trainer._base` and launches a background
      iterator that compiles augmented data, target data and sample data.
 
</s> remove     """ Handles the loading of :class:`~lib.faces_detect.DetectedFaces` from the alignments file
 </s> add     """ Handles the loading of :class:`~lib.align.DetectedFaces` from the alignments file </s> remove         self._nearest_landmarks = {}
 </s> add         self._cache = dict(nearest_landmarks=dict(), crop_size=0) </s> remove class Dfl():
    """ Reformat Alignment file """
 </s> add class Draw():  # pylint:disable=too-few-public-methods
    """ Draws annotations onto original frames and saves into a sub-folder next to the original
    frames.

    Parameters
    ---------
    alignments: :class:`tools.alignments.media.AlignmentsData`
        The loaded alignments corresponding to the frames to be annotated
    arguments: :class:`argparse.Namespace`
        The command line arguments that have called this job
    """ </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'>,
# TODO Face masks appear to be coming out too big?
# TODO Test _get_closest_match for speed and correctness


  
  
# TODO Face masks appear to be coming out too big?
# TODO Test _get_closest_match for speed and correctness


  class TrainingDataGenerator():  # pylint:disable=too-few-public-methods
      """ A Training Data Generator for compiling data for feeding to a model.
  
      This class is called from :mod:`plugins.train.trainer._base` and launches a background
      iterator that compiles augmented data, target data and sample data.
keep add 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 
lib/training_data.py