
from itertools import product

from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import dot, exp, mgrid, pi, ravel, square, uinta, zeros


def 			UpperCamelCase					(    __lowerCamelCase     : Union[str, Any]				,					__lowerCamelCase     : Dict    ):
       snake_case       :   int							=      k_size // 2
       snake_case				,					snake_case       :   Tuple							=      mgrid[0 - center : k_size - center, 0 - center : k_size - center]
       snake_case       :   Optional[int]							=      1 / (2 * pi * sigma) * exp(-(square(__lowerCamelCase    ) + square(__lowerCamelCase    )) / (2 * square(__lowerCamelCase    ))    )
       return g


def 			UpperCamelCase					(    __lowerCamelCase     : Any				,					__lowerCamelCase     : Any				,					__lowerCamelCase     : Dict    ):
       snake_case				,					snake_case       :   List[str]							=      image.shape[0], image.shape[1]
       # dst image height and width
       snake_case       :   Union[str, Any]							=      height - k_size + 1
       snake_case       :   Any							=      width - k_size + 1

       # im2col, turn the k_size*k_size pixels into a row and np.vstack all rows
       snake_case       :   Optional[int]							=      zeros((dst_height * dst_width, k_size * k_size)    )
       snake_case       :   List[str]							=      0
       for i, j in product(range(__lowerCamelCase    )				,					range(__lowerCamelCase    )    ):
              snake_case       :   Tuple							=      ravel(image[i : i + k_size, j : j + k_size]    )
              snake_case       :   List[Any]							=      window
              row += 1

       #  turn the kernel into shape(k*k, 1)
       snake_case       :   Tuple							=      gen_gaussian_kernel(__lowerCamelCase				,					__lowerCamelCase    )
       snake_case       :   List[str]							=      ravel(__lowerCamelCase    )

       # reshape and get the dst image
       snake_case       :   int							=      dot(__lowerCamelCase				,					__lowerCamelCase    ).reshape(__lowerCamelCase				,					__lowerCamelCase    ).astype(__lowerCamelCase    )

       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)

   # get values with two different mask size
   __lowerCamelCase							=       gaussian_filter(gray, 3, sigma=1)
   __lowerCamelCase							=       gaussian_filter(gray, 5, sigma=0.8)

   # show result images
   imshow("""gaussian filter with 3x3 mask""", gaussianaxa)
   imshow("""gaussian filter with 5x5 mask""", gaussianaxa)
   waitKey()







# flake8: noqa
# Lint as: python3
A     :	Optional[Any]    = [
    'VerificationMode',
    'Version',
    'disable_progress_bar',
    'enable_progress_bar',
    'is_progress_bar_enabled',
    'experimental',
]

from .info_utils import VerificationMode
from .logging import disable_progress_bar, enable_progress_bar, is_progress_bar_enabled
from .version import Version
from .experimental import experimental