          Outputs items in the following format. All lists are of length
          :attr:`~plugins.extract._base.Extractor.batchsize`:
  
          >>> {'filename': [<filenames of source frames>],
          >>>  'image': [<source images>],
          >>>  'scaled_image': <numpy.ndarray of images standardized for prediction>,
          >>>  'scale': [<scaling factors for each image>],
          >>>  'pad': [<padding for each image>],
          >>>  'detected_faces': [[<lib.faces_detect.DetectedFace objects]]}
  
          Parameters
 
</s> remove         >>>  'image': [<source images>],
 </s> add  </s> remove The plugin will receive a dict containing:

>>> {"filename": [<filename of source frame>],
>>>  "image": [<source image>],
>>>  "detected_faces": [<list of DetectedFace objects]}
 </s> add The plugin will receive a :class:`~plugins.extract.pipeline.ExtractMedia` object. </s> remove >>>  "image": [<source image>],
 </s> add  </s> remove         each :class:`lib.faces_detect.DetectedFace` object.
 </s> add         each :class:`~lib.faces_detect.DetectedFace` object. </s> remove         each :class:`lib.faces_detect.DetectedFace` object.
 </s> add         each :class:`~lib.faces_detect.DetectedFace` object.
        >>>  'image': <numpy.ndarray of images standardized for prediction>,
          Outputs items in the following format. All lists are of length
          :attr:`~plugins.extract._base.Extractor.batchsize`:
  
          >>> {'filename': [<filenames of source frames>],
        >>>  'image': <numpy.ndarray of images standardized for prediction>,
        >>>  'image': <numpy.ndarray of images standardized for prediction>,
          >>>  'scale': [<scaling factors for each image>],
          >>>  'pad': [<padding for each image>],
          >>>  'detected_faces': [[<lib.faces_detect.DetectedFace objects]]}
  
          Parameters
keep keep keep keep replace replace keep keep keep keep keep
 plugins.extract - Create ExtractMedia class for pipeline flow
Bugfix - Fix memory leak in extract 
plugins/extract/detect/_base.py