



'''simple docstring'''




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


def        lowerCAmelCase_     (			_lowerCamelCase:     int ,   _lowerCamelCase:     int ,   _lowerCamelCase:     int ,   _lowerCamelCase:     int ,   _lowerCamelCase:     int ,   _lowerCamelCase:     int      ):

		# prepare kernel
		# the kernel size have to be odd
		if (ksize % 2) == 0:
				__SCREAMING_SNAKE_CASE :	List[str]					 =	ksize + 1
		__SCREAMING_SNAKE_CASE :	List[Any]					 =	np.zeros((ksize, ksize) ,   dtype=np.floataa      )

		# each value
		for y in range(_lowerCamelCase      ):
				for x in range(_lowerCamelCase      ):
						# distance from center
						__SCREAMING_SNAKE_CASE :	Optional[int]					 =	x - ksize // 2
						__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	y - ksize // 2

						# degree to radiant
						__SCREAMING_SNAKE_CASE :	str					 =	theta / 1_80 * np.pi
						__SCREAMING_SNAKE_CASE :	Optional[int]					 =	np.cos(_theta      )
						__SCREAMING_SNAKE_CASE :	List[str]					 =	np.sin(_theta      )

						# get kernel x
						__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	cos_theta * px + sin_theta * py

						# get kernel y
						__SCREAMING_SNAKE_CASE :	List[str]					 =	-sin_theta * px + cos_theta * py

						# fill kernel
						__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	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
						UpperCamelCase__ :			Optional[Any]												=				imread('''../image_data/lena.jpg''')
						# turn image in gray scale value
						UpperCamelCase__ :			Tuple												=				cvtColor(img, COLOR_BGR2GRAY)

						# Apply multiple Kernel to detect edges
						UpperCamelCase__ :			int												=				np.zeros(gray.shape[:2])
						for theta in [0, 30, 60, 90, 1_20, 1_50]:
												UpperCamelCase__ :			Any												=				gabor_filter_kernel(10, 8, theta, 10, 0, 0)
												out += filteraD(gray, CV_8UC3, kernel_aa)
						UpperCamelCase__ :			Optional[Any]												=				out / out.max() * 2_55
						UpperCamelCase__ :			List[str]												=				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 		_UpperCamelCase						(							metaclass=lowerCamelCase__					):


			'''simple docstring'''

			_A   :	Optional[int]    					=	['''onnx''']

			def __init__(							self  :				List[str]							,  *lowerCAmelCase__  :				Optional[int]							,  **lowerCAmelCase__  :				List[Any]		):





					"""simple docstring"""






					requires_backends(self							,  ["""onnx"""]		)

			@classmethod
			def UpperCamelCase__      (							cls  :				Optional[int]							,  *lowerCAmelCase__  :				int							,  **lowerCAmelCase__  :				int		):





					"""simple docstring"""






					requires_backends(cls							,  ["""onnx"""]		)



			@classmethod
			def UpperCamelCase__      (							cls  :				Tuple							,  *lowerCAmelCase__  :				List[str]							,  **lowerCAmelCase__  :				Optional[Any]		):





					"""simple docstring"""






					requires_backends(cls							,  ["""onnx"""]		)