  import logging
  import os
  import traceback
  
  from io import StringIO
  
  import cv2
  
  from lib.aligner import Extract
  from lib.gpu_stats import GPUStats
 
</s> remove from lib.aligner import Extract
from lib.gpu_stats import GPUStats
from lib.utils import GetModel
 </s> add from plugins.extract._base import Extractor, logger </s> remove import cv2
 </s> add To get a :class:`~lib.faces_detect.DetectedFace` object use the function: </s> remove     - Use the function self.to_bounding_box_dict(left, right, top, bottom) to define the dict
    """

import logging
import os
import traceback
from io import StringIO
 </s> add >>> {'filename': <filename of source frame>,
>>>  'image':  <source image>,
>>>  'detected_faces': <list of DetectedFace objects containing bounding box points}} </s> remove from lib.gpu_stats import GPUStats
from lib.utils import rotate_landmarks, GetModel
from plugins.extract._config import Config
 </s> add >>> face = self.to_detected_face(<face left>, <face top>, <face right>, <face bottom>) </s> remove import logging
import os
import traceback
 </s> add >>> {"filename": [<filename of source frame>],
>>>  "image": [<source image>],
>>>  "landmarks": [list of 68 point face landmarks]
>>>  "detected_faces": [<list of DetectedFace objects>]}
"""
  import logging
  import os
  import traceback
  

  
  import cv2
  
  from lib.aligner import Extract
  from lib.gpu_stats import GPUStats
keep keep keep keep replace keep keep keep keep keep
 De-Multiprocess Extract (#871)

* requirements.txt: - Pin opencv to 4.1.1 (fixes cv2-dnn error)

* lib.face_detect.DetectedFace: change LandmarksXY to landmarks_xy. Add left, right, top, bottom attributes

* lib.model.session: Session manager for loading models into different graphs (for Nvidia + CPU)

* plugins.extract._base: New parent class for all extract plugins

* plugins.extract.pipeline. Remove MultiProcessing. Dynamically limit batchsize for Nvidia cards. Remove loglevel input

* S3FD + FAN plugins. Standardise to Keras version for all backends

* Standardize all extract plugins to new threaded codebase

* Documentation. Start implementing Numpy style docstrings for Sphinx Documentation

* Remove s3fd_amd. Change convert OTF to expect DetectedFace object

* faces_detect - clean up and documentation

* Remove PoolProcess

* Migrate manual tool to new extract workflow

* Remove AMD specific extractor code from cli and plugins

* Sort tool to new extract workflow

* Remove multiprocessing from project

* Remove multiprocessing queues from QueueManager

* Remove multiprocessing support from logger

* Move face_filter to new extraction pipeline

* Alignments landmarksXY > landmarks_xy and legacy handling

* Intercept get_backend for sphinx doc build

# Add Sphinx documentation 
plugins/extract/align/_base.py