





import warnings

from ...utils import logging
from .image_processing_glpn import GLPNImageProcessor


__lowerCamelCase :  int										=  logging.get_logger(__name__)






class       A__     ( __snake_case    ):





      def __init__(				self ,							*A_ ,							**A_     ):
       '''simple docstring'''




       warnings.warn(
           "The class GLPNFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
           " use GLPNImageProcessor instead." ,							A_ ,							)
       super().__init__(*A_ ,							**A_     )







from PIL import Image



def 	A_       (  _lowerCAmelCase  )		->				Image:
 UpperCamelCase			,					UpperCamelCase			:      List[Any] 			=     image.size
 UpperCamelCase			:      Union[str, Any] 			=     0
 UpperCamelCase			:      List[str] 			=     image.load()
 for i in range(_lowerCAmelCase  ):
  for j in range(_lowerCAmelCase  ):
   UpperCamelCase			:      List[Any] 			=     pixels[j, i]
   mean += pixel
 mean //= width * height

 for j in range(_lowerCAmelCase  ):
  for i in range(_lowerCAmelCase  ):
   UpperCamelCase			:      Union[str, Any] 			=     255 if pixels[i, j] > mean else 0
 return image


if __name__ == "__main__":
    __lowerCamelCase :  Union[str, Any]										=  mean_threshold(Image.open("""path_to_image""").convert("""L"""))
    image.save("""output_image_path""")
