




"""simple docstring"""




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



def 					a__				(       snake_case__ ,				snake_case__ ,				snake_case__ ,				snake_case__ ,				snake_case__ ,				snake_case__       )		->      np.ndarray:

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

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

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

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

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

									# fill kernel
									lowerCamelCase       =      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
					lowerCAmelCase							:    List[Any]  							=							imread("""../image_data/lena.jpg""")
					# turn image in gray scale value
					lowerCAmelCase							:    int  							=							cvtColor(img, COLOR_BGR2GRAY)

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

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

					waitKey(0)









"""simple docstring"""




from ..utils import DummyObject, requires_backends






class 					__magic_name__							( metaclass=UpperCAmelCase__       ):






				'''simple docstring'''
				__UpperCamelCase    						=		["note_seq"]





				def __init__( self	,				*_a	,				**_a				):





							"""simple docstring"""
							requires_backends(self	,				["""note_seq"""]				)





				@classmethod
				def      _lowerCAmelCase       ( cls	,				*_a	,				**_a				):





							"""simple docstring"""
							requires_backends(cls	,				["""note_seq"""]				)





				@classmethod
				def      _lowerCAmelCase       ( cls	,				*_a	,				**_a				):





							"""simple docstring"""
							requires_backends(cls	,				["""note_seq"""]				)



