  """
  
  
  import cv2
  
  from plugins.extract._base import Extractor, logger
  
  
  class Aligner(Extractor):
 
</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 logger = logging.getLogger(__name__)  # pylint: disable=invalid-name
 </s> add """
import cv2
import numpy as np

from lib.faces_detect import DetectedFace
from lib.utils import rotate_landmarks
from plugins.extract._base import Extractor, logger


class Detector(Extractor):
    """ Detector Object

    Parent class for all Detector plugins

    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 file to be loaded
    rotation: str, optional
        Pass in a single number to use increments of that size up to 360, or pass in a ``list`` of
        ``ints`` to enumerate exactly what angles to check. Can also pass in ``'on'`` to increment
        at 90 degree intervals. Default: ``None``
    min_size: int, optional
        Filters out faces detected below this size. Length, in pixels across the diagonal of the
        bounding box. Set to ``0`` for off. Default: ``0``

    Other Parameters
    ----------------
    configfile: str, optional
        Path to a custom configuration ``ini`` file. Default: Use system configfile

    See Also
    --------
    plugins.extract.pipeline : The extraction pipeline for calling plugins
    plugins.extract.detect : Detector plugins
    plugins.extract._base : Parent class for all extraction plugins
    plugins.extract.align._base : Aligner parent class for extraction plugins. </s> remove import os

from six import string_types, iteritems

 </s> add  </s> remove from lib.multithreading import MultiThread
 </s> add from lib.model.session import KSession
import numpy as np
  """
  
  
  import cv2
import numpy as np
  
  from plugins.extract._base import Extractor, logger
  
  
  class Aligner(Extractor):
keep keep keep add 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