     lib.serializer
     lib.training_data
  
  Module contents
  ---------------
  
  .. automodule:: lib
     :members:
 
</s> remove from lib.gui.utils import get_images, initialize_images
 </s> add from lib.gui.utils import get_images, initialize_config, initialize_images </s> remove """ VGG_Face2 inference
Model exported from: https://github.com/WeidiXie/Keras-VGGFace2-ResNet50
which is based on: https://www.robots.ox.ac.uk/~vgg/software/vgg_face/

Licensed under Creative Commons Attribution License.
https://creativecommons.org/licenses/by-nc/4.0/
"""
 </s> add """ VGG_Face2 inference and sorting """ </s> remove         Input images should be in BGR Order """
 </s> add     Extracts feature vectors from faces in order to compare similarity.

    Parameters
    ----------
    backend: ['GPU', 'CPU']
        Whether to run inference on a GPU or on the CPU
    loglevel: ['INFO', 'VERBODE', 'DEBUG', 'TRACE']
        The system log level

    Notes
    -----
    Input images should be in BGR Order

    Model exported from: https://github.com/WeidiXie/Keras-VGGFace2-ResNet50 which is based on:
    https://www.robots.ox.ac.uk/~vgg/software/vgg_face/


    Licensed under Creative Commons Attribution License.
    https://creativecommons.org/licenses/by-nc/4.0/
    """ </s> remove         self.model = self.get_model(git_model_id, model_filename, backend)
 </s> add         self.model = self._get_model(git_model_id, model_filename, backend) </s> remove     def get_model(git_model_id, model_filename, backend):
        """ Check if model is available, if not, download and unzip it """
 </s> add     def _get_model(git_model_id, model_filename, backend):
        """ Check if model is available, if not, download and unzip it

        Parameters
        ----------
        git_model_id: int
            The second digit in the github tag that identifies this model. See
            https://github.com/deepfakes-models/faceswap-models for more information
        model_filename: str
            The name of the model to be loaded (see :class:`lib.utils.GetModel` for more
            information)
        backend: ['GPU', 'CPU']
            Whether to run inference on a GPU or on the CPU

        See Also
        --------
        lib.utils.GetModel: The model downloading and allocation class.
        """
   lib.vgg_face2_keras
     lib.serializer
     lib.training_data
   lib.vgg_face2_keras
  
  Module contents
  ---------------
  
  .. automodule:: lib
     :members:
keep add keep keep keep keep keep keep
 bugfix: tools.preview - Fix for new icons
bugfix: lib.vgg_face2_keras - Remove debug code
documentation: lib.vgg_face2_keras 
docs/full/lib.rst