


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






def 							__lowercase       (			__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:
														a__					=					ksize + 1
							a__					=					np.zeros((ksize, ksize) ,   dtype=np.floataa       )

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

																					# degree to radiant
																					a__					=					theta / 1_8_0 * np.pi
																					a__					=					np.cos(_theta       )
																					a__					=					np.sin(_theta       )

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

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

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

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

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

						waitKey(0)










snake_case							:	str					      =				{
    0: '''0''',
    1: '''1''',
    2: '''2''',
    3: '''3''',
    4: '''4''',
    5: '''5''',
    6: '''6''',
    7: '''7''',
    8: '''8''',
    9: '''9''',
    10: '''a''',
    11: '''b''',
    12: '''c''',
    13: '''d''',
    14: '''e''',
    15: '''f''',
}






def 							__lowercase       (			__lowerCAmelCase							:    float       ):
							assert type(__lowerCAmelCase       ) in (int, float) and decimal == int(__lowerCAmelCase       )
							a__					=					int(__lowerCAmelCase       )
							a__					=					''
							a__					=					False
							if decimal < 0:
														a__					=					True
														decimal *= -1
							while decimal > 0:
														a__				, a__					=					divmod(__lowerCAmelCase ,   1_6       )
														a__					=					values[remainder] + hexadecimal
							a__					=					'0x' + hexadecimal
							if negative:
														a__					=					'-' + hexadecimal
							return hexadecimal


if __name__ == "__main__":
						import doctest

						doctest.testmod()




