

"""simple docstring"""




import cva
import numpy as np
def    __SCREAMING_SNAKE_CASE						(						lowercase__			,							lowercase__			,							lowercase__			,							lowercase__      ):
					"""simple docstring"""

					try:
										return int(image[x_coordinate][y_coordinate] >= center      )
					except (IndexError, TypeError):
										return 0
def    __SCREAMING_SNAKE_CASE						(						lowercase__			,							lowercase__			,							lowercase__      ):
					"""simple docstring"""
					A			=					image[x_coordinate][y_coordinate]
					A			=					[1, 2, 4, 8, 16, 32, 64, 128]

					# skip get_neighbors_pixel if center is null
					if center is None:
										return 0

					# Starting from the top right, assigning value to pixels clockwise
					A			=					[
					    get_neighbors_pixel(lowercase__			,							x_coordinate - 1			,							y_coordinate + 1			,							lowercase__      ),
					    get_neighbors_pixel(lowercase__			,							lowercase__			,							y_coordinate + 1			,							lowercase__      ),
					    get_neighbors_pixel(lowercase__			,							x_coordinate - 1			,							lowercase__			,							lowercase__      ),
					    get_neighbors_pixel(lowercase__			,							x_coordinate + 1			,							y_coordinate + 1			,							lowercase__      ),
					    get_neighbors_pixel(lowercase__			,							x_coordinate + 1			,							lowercase__			,							lowercase__      ),
					    get_neighbors_pixel(lowercase__			,							x_coordinate + 1			,							y_coordinate - 1			,							lowercase__      ),
					    get_neighbors_pixel(lowercase__			,							lowercase__			,							y_coordinate - 1			,							lowercase__      ),
					    get_neighbors_pixel(lowercase__			,							x_coordinate - 1			,							y_coordinate - 1			,							lowercase__      ),
					]

					# Converting the binary value to decimal.
					return sum(
					    binary_value * power for binary_value, power in zip(lowercase__			,							lowercase__      )      )


if __name__ == "__main__":
	# Reading the image and converting it to grayscale.
	__A     :    Union[str, Any]    =		cva.imread(
	    'digital_image_processing/image_data/lena.jpg', cva.IMREAD_GRAYSCALE
	)

	# Create a numpy array as the same height and width of read image
	__A     :    Any    =		np.zeros((image.shape[0], image.shape[1]))

	# Iterating through the image and calculating the
	# local binary pattern value for each pixel.
	for i in range(0, image.shape[0]):
		for j in range(0, image.shape[1]):
			__A     :    Optional[Any]    =		local_binary_value(image, i, j)

	cva.imshow('local binary pattern', lbp_image)
	cva.waitKey(0)
	cva.destroyAllWindows()








"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__A     :    int    =		{'configuration_bit': ['BIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'BitConfig', 'BitOnnxConfig']}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__A     :    Optional[Any]    =		[
	    'BIT_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'BitForImageClassification',
	    'BitModel',
	    'BitPreTrainedModel',
	    'BitBackbone',
	]


try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__A     :    List[Any]    =		['BitImageProcessor']


if TYPE_CHECKING:
	from .configuration_bit import BIT_PRETRAINED_CONFIG_ARCHIVE_MAP, BitConfig, BitOnnxConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_bit import (
		    BIT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    BitBackbone,
		    BitForImageClassification,
		    BitModel,
		    BitPreTrainedModel,
		)

	try:
		if not is_vision_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .image_processing_bit import BitImageProcessor

else:
	import sys

	__A     :    Union[str, Any]    =		_LazyModule(__name__, globals()['__file__'], _import_structure)





