




"""simple docstring"""

import cva
import numpy as np

from digital_image_processing.filters.convolve import img_convolve
from digital_image_processing.filters.sobel_filter import sobel_filter

__A							=     180



def 					UpperCamelCase__       (						lowercase__					:       Dict    ,       lowercase__					:       Union[str, Any]				):
		snake_case						:  Any        =			k_size // 2
		snake_case     ,			snake_case						:  Union[str, Any]        =			np.mgrid[0 - center : k_size - center, 0 - center : k_size - center]
		snake_case						:  Any        =			(
		    1
		    / (2 * np.pi * sigma)
		    * np.exp(-(np.square(lowercase__				) + np.square(lowercase__				)) / (2 * np.square(lowercase__				))				)
		)
		return g



def 					UpperCamelCase__       (						lowercase__					:       Any    ,       lowercase__					:       Optional[int]    ,       lowercase__					:       Any				):
		snake_case						:  Union[str, Any]        =			np.zeros(lowercase__				)

		for row in range(1    ,       image_shape[0] - 1				):
				for col in range(1    ,       image_shape[1] - 1				):
						snake_case						:  str        =			gradient_direction[row, col]

						if (
						    0 <= direction < PI / 8
						    or 15 * PI / 8 <= direction <= 2 * PI
						    or 7 * PI / 8 <= direction <= 9 * PI / 8
						):
								snake_case						:  Any        =			sobel_grad[row, col - 1]
								snake_case						:  Dict        =			sobel_grad[row, col + 1]
								if sobel_grad[row, col] >= w and sobel_grad[row, col] >= e:
										snake_case						:  Union[str, Any]        =			sobel_grad[row, col]

						elif (
						    PI / 8 <= direction < 3 * PI / 8
						    or 9 * PI / 8 <= direction < 11 * PI / 8
						):
								snake_case						:  Tuple        =			sobel_grad[row + 1, col - 1]
								snake_case						:  Any        =			sobel_grad[row - 1, col + 1]
								if sobel_grad[row, col] >= sw and sobel_grad[row, col] >= ne:
										snake_case						:  Any        =			sobel_grad[row, col]

						elif (
						    3 * PI / 8 <= direction < 5 * PI / 8
						    or 11 * PI / 8 <= direction < 13 * PI / 8
						):
								snake_case						:  int        =			sobel_grad[row - 1, col]
								snake_case						:  List[Any]        =			sobel_grad[row + 1, col]
								if sobel_grad[row, col] >= n and sobel_grad[row, col] >= s:
										snake_case						:  List[str]        =			sobel_grad[row, col]

						elif (
						    5 * PI / 8 <= direction < 7 * PI / 8
						    or 13 * PI / 8 <= direction < 15 * PI / 8
						):
								snake_case						:  Any        =			sobel_grad[row - 1, col - 1]
								snake_case						:  str        =			sobel_grad[row + 1, col + 1]
								if sobel_grad[row, col] >= nw and sobel_grad[row, col] >= se:
										snake_case						:  Optional[int]        =			sobel_grad[row, col]

		return destination



def 					UpperCamelCase__       (						lowercase__					:       List[str]    ,       lowercase__					:       int    ,       lowercase__					:       Dict    ,       lowercase__					:       int    ,       lowercase__					:       Union[str, Any]    ,       lowercase__					:       Optional[int]				):
		for row in range(1    ,       image_shape[0] - 1				):
				for col in range(1    ,       image_shape[1] - 1				):
						if destination[row, col] >= threshold_high:
								snake_case						:  Optional[Any]        =			strong
						elif destination[row, col] <= threshold_low:
								snake_case						:  Any        =			0
						else:
								snake_case						:  int        =			weak



def 					UpperCamelCase__       (						lowercase__					:       Any    ,       lowercase__					:       List[str]    ,       lowercase__					:       Optional[Any]    ,       lowercase__					:       Optional[Any]				):
		for row in range(1    ,       image_shape[0]				):
				for col in range(1    ,       image_shape[1]				):
						if destination[row, col] == weak:
								if 255 in (
								    destination[row, col + 1],
								    destination[row, col - 1],
								    destination[row - 1, col],
								    destination[row + 1, col],
								    destination[row - 1, col - 1],
								    destination[row + 1, col - 1],
								    destination[row - 1, col + 1],
								    destination[row + 1, col + 1],
								):
										snake_case						:  Optional[Any]        =			strong
								else:
										snake_case						:  Optional[Any]        =			0



def 					UpperCamelCase__       (						lowercase__					:       Dict    ,       lowercase__					:       Tuple=15    ,       lowercase__					:       Optional[Any]=30    ,       lowercase__					:       int=128    ,       lowercase__					:       Any=255				):
		# gaussian_filter
		snake_case						:  Tuple        =			img_convolve(lowercase__    ,       gen_gaussian_kernel(9    ,       sigma=1.4				)				)
		# get the gradient and degree by sobel_filter
		snake_case     ,			snake_case						:  Dict        =			sobel_filter(lowercase__				)
		snake_case						:  Optional[Any]        =			PI + np.radadeg(lowercase__				)

		snake_case						:  List[Any]        =			suppress_non_maximum(image.shape    ,       lowercase__    ,       lowercase__				)

		detect_high_low_threshold(
		    image.shape    ,       lowercase__    ,       lowercase__    ,       lowercase__    ,       lowercase__    ,       lowercase__				)

		track_edge(image.shape    ,       lowercase__    ,       lowercase__    ,       lowercase__				)

		return destination


if __name__ == "__main__":
							# read original image in gray mode
							__A							=     cva.imread(R"../image_data/lena.jpg", 0)
							# canny edge detection
							__A							=     canny(lena)
							cva.imshow("canny", canny_destination)
							cva.waitKey(0)







"""simple docstring"""

def 					UpperCamelCase__       (						lowercase__					:       int				):
		if not isinstance(lowercase__    ,       lowercase__				):
				raise ValueError("double_factorial() only accepts integral values"				)
		if n < 0:
				raise ValueError("double_factorial() not defined for negative values"				)
		return 1 if n <= 1 else n * double_factorial(n - 2				)


if __name__ == "__main__":
							import doctest

							doctest.testmod()

