




'''simple docstring'''



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







def 			_UpperCamelCase (_lowerCamelCase							:     Union[str, Any]   ,	_lowerCamelCase							:     str	)->   int:




     '''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   ,	_lowerCamelCase	):
          for j in range(0   ,	_lowerCamelCase	):
               __snake_case    					=  ravel(image[i : i + block_size[0], j : j + block_size[1]]	)
               __snake_case    					=  window
               row += 1

     return image_array







def 			_UpperCamelCase (_lowerCamelCase							:     str   ,	_lowerCamelCase							:     Dict	)->   Union[str, 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(_lowerCamelCase   ,	_lowerCamelCase   ,	mode='''edge'''	)

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

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


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












'''simple docstring'''



from transformers import ProcessorMixin





class     lowerCAmelCase   ( __lowerCAmelCase):
       __lowercase  :      Union[str, Any]        =			'''AutoFeatureExtractor'''
       __lowercase  :      List[Any]        =			'''AutoTokenizer'''






