



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

UpperCAmelCase							=       180

def       A_   (						__a  :					Optional[Any]			,		__a  :					Union[str, Any]		):

				"""simple docstring"""
				a__					   =		k_size // 2
				a__   ,      a__					   =		np.mgrid[0 - center : k_size - center, 0 - center : k_size - center]
				a__					   =		(
				    1
				    / (2 * np.pi * sigma)
				    * np.exp(-(np.square(__a		) + np.square(__a		)) / (2 * np.square(__a		))		)
				)
				return g

def       A_   (						__a  :					Optional[int]			,		__a  :					Tuple			,		__a  :					List[str]		):

				"""simple docstring"""
				a__					   =		np.zeros(__a		)

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

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

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

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

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

				return destination

def       A_   (						__a  :					Tuple			,		__a  :					Optional[Any]			,		__a  :					Union[str, Any]			,		__a  :					int			,		__a  :					Optional[Any]			,		__a  :					Union[str, Any]		):

				"""simple docstring"""
				for row in range(1			,		image_shape[0] - 1		):
								for col in range(1			,		image_shape[1] - 1		):
												if destination[row, col] >= threshold_high:
																a__					   =		strong
												elif destination[row, col] <= threshold_low:
																a__					   =		0
												else:
																a__					   =		weak

def       A_   (						__a  :					Tuple			,		__a  :					int			,		__a  :					List[str]			,		__a  :					Union[str, Any]		):

				"""simple docstring"""
				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],
																):
																				a__					   =		strong
																else:
																				a__					   =		0

def       A_   (						__a  :					str			,		__a  :					str=15			,		__a  :					Optional[int]=30			,		__a  :					Dict=128			,		__a  :					List[str]=255		):

				"""simple docstring"""
				# gaussian_filter
				a__					   =		img_convolve(__a			,		gen_gaussian_kernel(9			,		sigma=1.4		)		)
				# get the gradient and degree by sobel_filter
				a__   ,      a__					   =		sobel_filter(__a		)
				a__					   =		PI + np.radadeg(__a		)

				a__					   =		suppress_non_maximum(image.shape			,		__a			,		__a		)

				detect_high_low_threshold(
				    image.shape			,		__a			,		__a			,		__a			,		__a			,		__a		)

				track_edge(image.shape			,		__a			,		__a			,		__a		)

				return destination


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









from __future__ import annotations

from collections.abc import Iterable, Iterator
from typing import Any, Generic, TypeVar

__snake_case     :     str       =  TypeVar("""T""", bound=bool)


class      __SCREAMING_SNAKE_CASE       ( Generic[T]):






						def __init__(						self  ,    _UpperCamelCase ):






												"""simple docstring"""
												lowerCAmelCase__         =    value
												lowerCAmelCase__         =    None
												lowerCAmelCase__         =    None






						@property
						def    UpperCamelCase__   (						self ):






												"""simple docstring"""
												return self._value







						@staticmethod
						def    UpperCamelCase__   (						_UpperCamelCase  ,    _UpperCamelCase ):






												"""simple docstring"""
												if not roota:
																		return roota

												if not roota:
																		return roota

												if roota.value > roota.value:
																		lowerCAmelCase__    ,							lowerCAmelCase__         =    roota, roota

												lowerCAmelCase__         =    roota
												lowerCAmelCase__         =    roota.right
												lowerCAmelCase__         =    roota.left
												lowerCAmelCase__         =    SkewNode.merge(_UpperCamelCase  ,    _UpperCamelCase )

												return result




class      __SCREAMING_SNAKE_CASE       ( Generic[T]):






						def __init__(						self  ,    _UpperCamelCase = () ):






												"""simple docstring"""
												lowerCAmelCase__         =    None
												if data:
																		for item in data:
																								self.insert(_UpperCamelCase )






						def __bool__(						self ):






												"""simple docstring"""
												return self._root is not None






						def __iter__(						self ):






												"""simple docstring"""
												lowerCAmelCase__         =    []
												while self:
																		result.append(self.pop() )

												# Pushing items back to the heap not to clear it.
												for item in result:
																		self.insert(_UpperCamelCase )

												return iter(_UpperCamelCase )






						def    UpperCamelCase__   (						self  ,    _UpperCamelCase ):






												"""simple docstring"""
												lowerCAmelCase__         =    SkewNode.merge(self._root  ,    SkewNode(_UpperCamelCase ) )






						def    UpperCamelCase__   (						self ):






												"""simple docstring"""
												lowerCAmelCase__         =    self.top()
												lowerCAmelCase__         =    (
												    SkewNode.merge(self._root.left  ,    self._root.right ) if self._root else None
												)

												return result






						def    UpperCamelCase__   (						self ):






												"""simple docstring"""
												if not self._root:
																		raise IndexError('Can\'t get top element for the empty heap.' )
												return self._root.value







						def    UpperCamelCase__   (						self ):






												"""simple docstring"""
												lowerCAmelCase__         =    None


if __name__ == "__main__":
					import doctest

					doctest.testmod()





