  if TYPE_CHECKING:
      import numpy as np
      from lib.align.detected_face import DetectedFace
  
  logger = logging.getLogger(__name__)  # pylint:disable=invalid-name
  _INSTANCES = -1  # Tracking for multiple instances of pipeline
  
 
</s> remove if TYPE_CHECKING:
    import argparse

 </s> add  </s> remove from tensorflow.python.framework import errors_impl as tf_errors
 </s> add from tensorflow.python.framework import errors_impl as tf_errors  # pylint:disable=no-name-in-module  # noqa </s> remove from lib.utils import get_folder
 </s> add from lib.utils import get_folder, _video_extensions
    from plugins.extract._base import Extractor as PluginExtractor
    from plugins.extract.detect._base import Detector
    from plugins.extract.align._base import Aligner
    from plugins.extract.mask._base import Masker
  if TYPE_CHECKING:
      import numpy as np
      from lib.align.detected_face import DetectedFace
    from plugins.extract._base import Extractor as PluginExtractor
    from plugins.extract.detect._base import Detector
    from plugins.extract.align._base import Aligner
    from plugins.extract.mask._base import Masker
  
  logger = logging.getLogger(__name__)  # pylint:disable=invalid-name
  _INSTANCES = -1  # Tracking for multiple instances of pipeline
  
keep keep add keep keep keep keep
 extract: Add batch processing mode 
plugins/extract/pipeline.py