





'''simple docstring'''




import math
import os

import cva
import numpy as np

__UpperCAmelCase         =   255.0



def 						__A						(       lowerCamelCase_	,	lowerCamelCase_					):


		"""simple docstring"""



		SCREAMING_SNAKE_CASE				:							Dict						=	np.mean((original - contrast) ** 2					)
		if mse == 0:
				return 1_00

		return 20 * math.logaa(PIXEL_MAX / math.sqrt(lowerCamelCase_					)					)



def 						__A						(       ):


		"""simple docstring"""



		SCREAMING_SNAKE_CASE				:							Union[str, Any]						=	os.path.dirname(os.path.realpath(lowerCamelCase_					)					)
		# Loading images (original image and compressed image)
		SCREAMING_SNAKE_CASE				:							int						=	cva.imread(os.path.join(lowerCamelCase_	,	"""image_data/original_image.png"""					)					)
		SCREAMING_SNAKE_CASE				:							int						=	cva.imread(os.path.join(lowerCamelCase_	,	"""image_data/compressed_image.png"""					)	,	1					)

		SCREAMING_SNAKE_CASE				:							int						=	cva.imread(os.path.join(lowerCamelCase_	,	"""image_data/PSNR-example-base.png"""					)					)
		SCREAMING_SNAKE_CASE				:							Any						=	cva.imread(
		    os.path.join(lowerCamelCase_	,	"""image_data/PSNR-example-comp-10.jpg"""					)	,	1					)

		# Value expected: 29.73dB
		print("""-- First Test --"""					)
		print(f'''PSNR value is {peak_signal_to_noise_ratio(lowerCamelCase_	,	lowerCamelCase_					)} dB'''					)

		# # Value expected: 31.53dB (Wikipedia Example)
		print("""\n-- Second Test --"""					)
		print(f'''PSNR value is {peak_signal_to_noise_ratio(lowerCamelCase_	,	lowerCamelCase_					)} dB'''					)


if __name__ == "__main__":
							main()










'''simple docstring'''




import warnings

from ...utils import logging
from .image_processing_detr import DetrImageProcessor


__UpperCAmelCase         =   logging.get_logger(__name__)




class       UpperCamelCase__			(			lowercase_	):




					"""simple docstring"""


					def __init__(		self							:	Dict     ,		*lowerCamelCase_							:	Optional[int]     ,		**lowerCamelCase_							:	Optional[int]		):

							'''simple docstring'''



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



