

from PIL import Image

def 		UpperCamelCase      (lowercase_:				Image      )  ->   Image:
	A__     ,     A__							:					List[Any]       =	image.size
	A__							:					Optional[int]       =	0
	A__							:					Tuple       =	image.load()
	for i in range(lowercase_      ):
		for j in range(lowercase_      ):
			A__							:					int       =	pixels[j, i]
			mean += pixel
	mean //= width * height

	for j in range(lowercase_      ):
		for i in range(lowercase_      ):
			A__							:					List[Any]       =	255 if pixels[i, j] > mean else 0
	return image


if __name__ == "__main__":
	A_ :				Dict						 =    mean_threshold(Image.open('path_to_image').convert('L'))
	image.save('output_image_path')






import warnings

from ...utils import logging
from .image_processing_poolformer import PoolFormerImageProcessor


A_ :				Union[str, Any]						 =    logging.get_logger(__name__)



class 					_a		(__magic_name__       ):


					'''simple docstring'''






					def __init__(				self					, *A__					, **A__    ):
						warnings.warn(
						    """The class PoolFormerFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
						    """ Please use PoolFormerImageProcessor instead."""					, A__					, )
						super().__init__(*A__					, **A__    )



