


import numpy as np
from cva import COLOR_BGR2GRAY, CV_8UC3, cvtColor, filteraD, imread, imshow, waitKey

def 						_UpperCAmelCase    (      SCREAMING_SNAKE_CASE__      : int      ,					SCREAMING_SNAKE_CASE__      : int      ,					SCREAMING_SNAKE_CASE__      : int      ,					SCREAMING_SNAKE_CASE__      : int      ,					SCREAMING_SNAKE_CASE__      : int      ,					SCREAMING_SNAKE_CASE__      : int    ):

     # prepare kernel
     # the kernel size have to be odd
     if (ksize % 2) == 0:
          __UpperCamelCase   							=ksize + 1
     __UpperCamelCase   							=np.zeros((ksize, ksize)      ,					dtype=np.floataa    )

     # each value
     for y in range(SCREAMING_SNAKE_CASE__    ):
          for x in range(SCREAMING_SNAKE_CASE__    ):
               # distance from center
               __UpperCamelCase   							=x - ksize // 2
               __UpperCamelCase   							=y - ksize // 2

               # degree to radiant
               __UpperCamelCase   							=theta / 1_80 * np.pi
               __UpperCamelCase   							=np.cos(_theta    )
               __UpperCamelCase   							=np.sin(_theta    )

               # get kernel x
               __UpperCamelCase   							=cos_theta * px + sin_theta * py

               # get kernel y
               __UpperCamelCase   							=-sin_theta * px + cos_theta * py

               # fill kernel
               __UpperCamelCase   							=np.exp(
                   -(_x**2 + gamma**2 * _y**2) / (2 * sigma**2)    ) * np.cos(2 * np.pi * _x / lambd + psi    )

     return gabor


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   # read original image
   _A			=						imread('../image_data/lena.jpg')
   # turn image in gray scale value
   _A			=						cvtColor(img, COLOR_BGR2GRAY)

   # Apply multiple Kernel to detect edges
   _A			=						np.zeros(gray.shape[:2])
   for theta in [0, 30, 60, 90, 120, 150]:
      _A			=						gabor_filter_kernel(10, 8, theta, 10, 0, 0)
      out += filteraD(gray, CV_8UC3, kernel_aa)
   _A			=						out / out.max() * 255
   _A			=						out.astype(np.uinta)

   imshow('Original', gray)
   imshow('Gabor filter with 20x20 mask and 6 directions', out)

   waitKey(0)









from ..utils import DummyObject, requires_backends






class    UpperCAmelCase__	( metaclass=A_		):



    """simple docstring"""






    UpperCAmelCase__						:		Any              =  ["speech"]






    def __init__(      self ,       *A_ ,       **A_   )  ->	Any:
         requires_backends(self ,       ['speech']   )






class    UpperCAmelCase__	( metaclass=A_		):



    """simple docstring"""






    UpperCAmelCase__						:		Union[str, Any]              =  ["speech"]






    def __init__(      self ,       *A_ ,       **A_   )  ->	Union[str, Any]:
         requires_backends(self ,       ['speech']   )





