


"""simple docstring"""







from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


a__				:							Tuple						=     logging.get_logger(__name__)

a__				:							Optional[Any]						=     {
    '''google/vit-base-patch16-224''': '''https://huggingface.co/vit-base-patch16-224/resolve/main/config.json''',
    # See all ViT models at https://huggingface.co/models?filter=vit
}




class  UpperCamelCase_	( UpperCamelCase):

	"""simple docstring"""





	snake_case__				:  Union[str, Any]    					=			"vit"




	def __init__( self			:				Union[str, Any]			,			UpperCAmelCase__			:				Dict=7_6_8			,			UpperCAmelCase__			:				Tuple=1_2			,			UpperCAmelCase__			:				str=1_2			,			UpperCAmelCase__			:				Dict=3_0_7_2			,			UpperCAmelCase__			:				List[Any]="gelu"			,			UpperCAmelCase__			:				Optional[int]=0.0			,			UpperCAmelCase__			:				int=0.0			,			UpperCAmelCase__			:				Optional[Any]=0.02			,			UpperCAmelCase__			:				str=1E-12			,			UpperCAmelCase__			:				List[str]=2_2_4			,			UpperCAmelCase__			:				List[str]=1_6			,			UpperCAmelCase__			:				Union[str, Any]=3			,			UpperCAmelCase__			:				List[str]=True			,			UpperCAmelCase__			:				Optional[int]=1_6			,			**UpperCAmelCase__			:				Optional[Any]			,			)       ->	List[Any]:
						super().__init__(**UpperCAmelCase__   )

						__SCREAMING_SNAKE_CASE						   =				hidden_size
						__SCREAMING_SNAKE_CASE						   =				num_hidden_layers
						__SCREAMING_SNAKE_CASE						   =				num_attention_heads
						__SCREAMING_SNAKE_CASE						   =				intermediate_size
						__SCREAMING_SNAKE_CASE						   =				hidden_act
						__SCREAMING_SNAKE_CASE						   =				hidden_dropout_prob
						__SCREAMING_SNAKE_CASE						   =				attention_probs_dropout_prob
						__SCREAMING_SNAKE_CASE						   =				initializer_range
						__SCREAMING_SNAKE_CASE						   =				layer_norm_eps
						__SCREAMING_SNAKE_CASE						   =				image_size
						__SCREAMING_SNAKE_CASE						   =				patch_size
						__SCREAMING_SNAKE_CASE						   =				num_channels
						__SCREAMING_SNAKE_CASE						   =				qkv_bias
						__SCREAMING_SNAKE_CASE						   =				encoder_stride




class  UpperCamelCase_	( UpperCamelCase):

	"""simple docstring"""





	snake_case__				:  List[Any]    					=			version.parse("1.11")




	@property
	def   UpperCAmelCase_      ( self			:				Optional[Any]   )       ->	Mapping[str, Mapping[int, str]]:
						return OrderedDict(
						    [
						        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
						    ]   )




	@property
	def   UpperCAmelCase_      ( self			:				Any   )       ->	float:
						return 1E-4




"""simple docstring"""







from PIL import Image




def    UpperCAmelCase__       (lowerCAmelCase_   ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE						   =				image.size
					__SCREAMING_SNAKE_CASE						   =				0
					__SCREAMING_SNAKE_CASE						   =				image.load()
					for i in range(lowerCAmelCase_   ):
										for j in range(lowerCAmelCase_   ):
															__SCREAMING_SNAKE_CASE						   =				pixels[j, i]
															mean += pixel
					mean //= width * height

					for j in range(lowerCAmelCase_   ):
										for i in range(lowerCAmelCase_   ):
															__SCREAMING_SNAKE_CASE						   =				255 if pixels[i, j] > mean else 0
					return image


if __name__ == "__main__":
		a__				:							List[str]						=     mean_threshold(Image.open('''path_to_image''').convert('''L'''))
		image.save('''output_image_path''')
