

from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import array, dot, pad, ravel, uinta, zeros



def    UpperCamelCase(					lowercase_			,					lowercase_							)	->				Union[str, Any]:





  '''simple docstring'''





  snake_case_						,				snake_case_       						=      image.shape
  snake_case_       						=      cols - block_size[1] + 1
  snake_case_       						=      rows - block_size[0] + 1
  snake_case_       						=      zeros((dst_height * dst_width, block_size[1] * block_size[0])							)
  snake_case_       						=      0
  for i in range(0			,					lowercase_							):
    for j in range(0			,					lowercase_							):
      snake_case_       						=      ravel(image[i : i + block_size[0], j : j + block_size[1]]							)
      snake_case_       						=      window
      row += 1

  return image_array



def    UpperCamelCase(					lowercase_			,					lowercase_							)	->				Any:





  '''simple docstring'''





  snake_case_						,				snake_case_       						=      image.shape[0], image.shape[1]
  snake_case_       						=      filter_kernel.shape[0]
  snake_case_       						=      k_size // 2
  # Pads image with the edge values of array.
  snake_case_       						=      pad(lowercase_			,					lowercase_			,					mode="""edge"""							)

  # im2col, turn the k_size*k_size pixels into a row and np.vstack all rows
  snake_case_       						=      imacol(lowercase_			,					(k_size, k_size)							)

  #  turn the kernel into shape(k*k, 1)
  snake_case_       						=      ravel(lowercase_							)
  # reshape and get the dst image
  snake_case_       						=      dot(lowercase_			,					lowercase_							).reshape(lowercase_			,					lowercase_							)
  return dst


if __name__ == "__main__":
    # read original image
    lowerCamelCase_    =					imread(R'''../image_data/lena.jpg''')
    # turn image in gray scale value
    lowerCamelCase_    =					cvtColor(img, COLOR_BGR2GRAY)
    # Laplace operator
    lowerCamelCase_    =					array([[0, 1, 0], [1, -4, 1], [0, 1, 0]])
    lowerCamelCase_    =					img_convolve(gray, Laplace_kernel).astype(uinta)
    imshow('''Laplacian''', out)
    waitKey(0)


from typing import Callable



def    UpperCamelCase(					lowercase_							)	->				List[str]:





  '''simple docstring'''





  def wrapper(lowercase_							):
    snake_case_       						=      function_with_docstring.__doc__
    return target_function

  return wrapper