      from .detect._base import DetectorBatch
      from .mask._base import MaskerBatch
      from .recognition._base import RecogBatch
  
  logger = logging.getLogger(__name__)  # pylint: disable=invalid-name
  # TODO Run with warnings mode
  
  
  def _get_config(plugin_name: str, configfile: Optional[str] = None) -> Dict[str, Any]:
      """ Return the configuration for the requested model
 
</s> remove _TF_VERS = None
 </s> add _TF_VERS: Optional[float] = None </s> remove         faces = self.crop(batch, center_scale)
        logger.trace("Aligned image around center")  # type:ignore
        faces = self._normalize_faces(faces)
 </s> add         batch.feed = np.array(self.crop(batch, center_scale))[..., :3]
logger = logging.getLogger(__name__)
      from .detect._base import DetectorBatch
      from .mask._base import MaskerBatch
      from .recognition._base import RecogBatch
  
logger = logging.getLogger(__name__)
  # TODO Run with warnings mode
  
  
  def _get_config(plugin_name: str, configfile: Optional[str] = None) -> Dict[str, Any]:
      """ Return the configuration for the requested model
keep keep keep keep replace keep keep keep keep keep
 Extract: Implement re-align/2nd pass
   - implement configurable re-align function in extract
  - update locales + documentation
  - re-factor align._base and split to separate modules
  - move normalization method to plugin parent
  - bugfix: FAN use zeros for pre-processing crop
  - lint AlignedFilter 
plugins/extract/_base.py