

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						:int            = 180

def 			__snake_case	(   __UpperCamelCase  :   Any							,__UpperCamelCase  :   int						):



      """simple docstring"""

      A_	     =							k_size // 2
      A_	     =							np.mgrid[0 - center : k_size - center, 0 - center : k_size - center]
      A_	     =							(
          1
          / (2 * np.pi * sigma)
          * np.exp(-(np.square(__UpperCamelCase						) + np.square(__UpperCamelCase						)) / (2 * np.square(__UpperCamelCase						))						)
      )
      return g

def 			__snake_case	(   __UpperCamelCase  :   List[str]							,__UpperCamelCase  :   List[str]							,__UpperCamelCase  :   int						):



      """simple docstring"""

      A_	     =							np.zeros(__UpperCamelCase						)

      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 			__snake_case	(   __UpperCamelCase  :   str							,__UpperCamelCase  :   List[str]							,__UpperCamelCase  :   Dict							,__UpperCamelCase  :   List[str]							,__UpperCamelCase  :   Union[str, Any]							,__UpperCamelCase  :   Optional[int]						):



      """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 			__snake_case	(   __UpperCamelCase  :   Optional[int]							,__UpperCamelCase  :   Any							,__UpperCamelCase  :   List[str]							,__UpperCamelCase  :   Dict						):



      """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 			__snake_case	(   __UpperCamelCase  :   Dict							,__UpperCamelCase  :   Any=15							,__UpperCamelCase  :   Dict=30							,__UpperCamelCase  :   Optional[int]=128							,__UpperCamelCase  :   Union[str, Any]=255						):



      """simple docstring"""

      A_	     =							img_convolve(__UpperCamelCase							,gen_gaussian_kernel(9							,sigma=1.4						)						)
      # get the gradient and degree by sobel_filter
      A_	     =							sobel_filter(__UpperCamelCase						)
      A_	     =							PI + np.radadeg(__UpperCamelCase						)

      A_	     =							suppress_non_maximum(image.shape							,__UpperCamelCase							,__UpperCamelCase						)

      detect_high_low_threshold(
          image.shape							,__UpperCamelCase							,__UpperCamelCase							,__UpperCamelCase							,__UpperCamelCase							,__UpperCamelCase						)

      track_edge(image.shape							,__UpperCamelCase							,__UpperCamelCase							,__UpperCamelCase						)

      return destination


if __name__ == "__main__":
      # read original image in gray mode
      __a						:Optional[Any]            = cva.imread(R'../image_data/lena.jpg', 0)
      # canny edge detection
      __a						:Dict            = canny(lena)
      cva.imshow('canny', canny_destination)
      cva.waitKey(0)









__a						:Dict            = {hex(i)[2:]: i for i in range(16)}  # Use [:2] to strip off the leading '0x'

def 			__snake_case	(   __UpperCamelCase  :   str						):



      """simple docstring"""

      A_	     =							hex_string.strip().lower()
      if not hex_string:
            raise ValueError("Empty string was passed to the function"						)
      A_	     =							hex_string[0] == "-"
      if is_negative:
            A_	     =							hex_string[1:]
      if not all(char in hex_table for char in hex_string						):
            raise ValueError("Non-hexadecimal value was passed to the function"						)
      A_	     =							0
      for char in hex_string:
            A_	     =							16 * decimal_number + hex_table[char]
      return -decimal_number if is_negative else decimal_number


if __name__ == "__main__":
      from doctest import testmod

      testmod()