
import math
import os

import cva
import numpy as np

lowerCamelCase_  :       Optional[Any]					      =     255.0







def 				A__    (  lowerCamelCase   ,			lowerCamelCase  )     ->		float:
				UpperCamelCase_:							Optional[int]		=  np.mean((original - contrast) ** 2  )
				if mse == 0:
								return 1_00

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







def 				A__    (  )     ->		None:
				UpperCamelCase_:							int		=  os.path.dirname(os.path.realpath(lowerCamelCase  )  )
				# Loading images (original image and compressed image)
				UpperCamelCase_:							Optional[Any]		=  cva.imread(os.path.join(lowerCamelCase   ,			"""image_data/original_image.png"""  )  )
				UpperCamelCase_:							Dict		=  cva.imread(os.path.join(lowerCamelCase   ,			"""image_data/compressed_image.png"""  )   ,			1  )

				UpperCamelCase_:							Tuple		=  cva.imread(os.path.join(lowerCamelCase   ,			"""image_data/PSNR-example-base.png"""  )  )
				UpperCamelCase_:							Optional[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_mobilenet_va import MobileNetVaImageProcessor


a_											=			logging.get_logger(__name__)
class snake_case					(     _UpperCamelCase):







		def __init__(    self					:				str			,      *a__					:				Union[str, Any]			,      **a__					:				Optional[Any]						)				->  None:





						'''simple docstring'''







						warnings.warn(
						    "The class MobileNetV2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."
						    " Please use MobileNetV2ImageProcessor instead."			,      a__			,      )
						super().__init__(*a__			,      **a__						)