

'''simple docstring'''

import numpy as np
from PIL import Image




def  UpperCamelCase(	UpperCAmelCase_      ):
 UpperCAmelCase   ,					UpperCAmelCase   ,					UpperCAmelCase			:      Optional[int]		   =					rgb[:, :, 0], rgb[:, :, 1], rgb[:, :, 2]
 return 0.2989 * r + 0.5870 * g + 0.1140 * b




def  UpperCamelCase(	UpperCAmelCase_      ):
 return (gray > 1_27) & (gray <= 2_55)




def  UpperCamelCase(	UpperCAmelCase_    ,			UpperCAmelCase_      ):
 UpperCAmelCase			:      Optional[int]		   =					np.zeros_like(lowercase__      )
 UpperCAmelCase			:      Dict		   =					np.zeros(
     (image.shape[0] + kernel.shape[0] - 1, image.shape[1] + kernel.shape[1] - 1)      )

 # Copy image to padded image
 UpperCAmelCase			:      Union[str, Any]		   =					image

 # Iterate over image & apply kernel
 for x in range(image.shape[1]      ):
  for y in range(image.shape[0]      ):
   UpperCAmelCase			:      int		   =					(
       kernel * image_padded[y : y + kernel.shape[0], x : x + kernel.shape[1]]
   ).sum()
   UpperCAmelCase			:      List[str]		   =					int(summation == 5      )
 return output


# kernel to be applied
lowercase__            =     np.array([[0, 1, 0], [1, 1, 1], [0, 1, 0]])

if __name__ == "__main__":
 # read original image
 lowercase__            =     np.array(Image.open(r"..\image_data\lena.jpg"))
 # Apply erosion operation to a binary image
 lowercase__            =     erosion(grayabinary(rgbagray(image)), structuring_element)
 # Save the output image
 lowercase__            =     Image.fromarray(output).convert("RGB")
 pil_img.save("result_erosion.png")












'''simple docstring'''





from ..utils import DummyObject, requires_backends
class 					lowercase							(				metaclass=_lowerCamelCase   ):


    '''simple docstring'''

    lowerCAmelCase__   					=				["torch", "transformers", "invisible_watermark"]

    def __init__(       self  :  Optional[Any]					,  *__lowerCamelCase  :  List[Any]					,  **__lowerCamelCase  :  Union[str, Any]  )				->				Dict:

     '''simple docstring'''




     requires_backends(self					,  ["torch", "transformers", "invisible_watermark"]  )

    @classmethod
    def  a__					(       cls  :  Any					,  *__lowerCamelCase  :  List[Any]					,  **__lowerCamelCase  :  Tuple  )				->				List[str]:

     '''simple docstring'''




     requires_backends(cls					,  ["torch", "transformers", "invisible_watermark"]  )




    @classmethod
    def  a__					(       cls  :  Union[str, Any]					,  *__lowerCamelCase  :  Tuple					,  **__lowerCamelCase  :  Tuple  )				->				List[Any]:

     '''simple docstring'''




     requires_backends(cls					,  ["torch", "transformers", "invisible_watermark"]  )
class 					lowercase							(				metaclass=_lowerCamelCase   ):


    '''simple docstring'''

    lowerCAmelCase__   					=				["torch", "transformers", "invisible_watermark"]

    def __init__(       self  :  Optional[Any]					,  *__lowerCamelCase  :  str					,  **__lowerCamelCase  :  Optional[Any]  )				->				str:

     '''simple docstring'''




     requires_backends(self					,  ["torch", "transformers", "invisible_watermark"]  )

    @classmethod
    def  a__					(       cls  :  Union[str, Any]					,  *__lowerCamelCase  :  List[str]					,  **__lowerCamelCase  :  Dict  )				->				Any:

     '''simple docstring'''




     requires_backends(cls					,  ["torch", "transformers", "invisible_watermark"]  )




    @classmethod
    def  a__					(       cls  :  List[Any]					,  *__lowerCamelCase  :  Union[str, Any]					,  **__lowerCamelCase  :  Any  )				->				Any:

     '''simple docstring'''




     requires_backends(cls					,  ["torch", "transformers", "invisible_watermark"]  )

