code: 
  
  
  
  '''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__						:			List[str]										=			1_8_0
  
  
  
  
  
  
  
  def _lowercase   (  __A							,__A       ):
  
  
  
   '''simple docstring'''
  
  
  
   __UpperCamelCase				      =  k_size // 2
   __UpperCamelCase      ,		__UpperCamelCase				      =  np.mgrid[0 - center : k_size - center, 0 - center : k_size - center]
   __UpperCamelCase				      =  (
       1
       / (2 * np.pi * sigma)
       * np.exp(-(np.square(__A       ) + np.square(__A       )) / (2 * np.square(__A       ))       )
   )
   return g
  
  
  
  
  
  
  
  def _lowercase   (  __A							,__A							,__A       ):
  
  
  
   '''simple docstring'''
  
  
  
   __UpperCamelCase				      =  np.zeros(__A       )
  
   for row in range(1							,image_shape[0] - 1       ):
    for col in range(1							,image_shape[1] - 1       ):
     __UpperCamelCase				      =  gradient_direction[row, col]
  
     if (
         0 <= direction < PI / 8
         or 15 * PI / 8 <= direction <= 2 * PI
         or 7 * PI / 8 <= direction <= 9 * PI / 8
     ):
      __UpperCamelCase				      =  sobel_grad[row, col - 1]
      __UpperCamelCase				      =  sobel_grad[row, col + 1]
      if sobel_grad[row, col] >= w and sobel_grad[row, col] >= e:
       __UpperCamelCase				      =  sobel_grad[row, col]
  
     elif (
         PI / 8 <= direction < 3 * PI / 8
         or 9 * PI / 8 <= direction < 11 * PI / 8
     ):
      __UpperCamelCase				      =  sobel_grad[row + 1, col - 1]
      __UpperCamelCase				      =  sobel_grad[row - 1, col + 1]
      if sobel_grad[row, col] >= sw and sobel_grad[row, col] >= ne:
       __UpperCamelCase				      =  sobel_grad[row, col]
  
     elif (
         3 * PI / 8 <= direction < 5 * PI / 8
         or 11 * PI / 8 <= direction < 13 * PI / 8
     ):
      __UpperCamelCase				      =  sobel_grad[row - 1, col]
      __UpperCamelCase				      =  sobel_grad[row + 1, col]
      if sobel_grad[row, col] >= n and sobel_grad[row, col] >= s:
       __UpperCamelCase				      =  sobel_grad[row, col]
  
     elif (
         5 * PI / 8 <= direction < 7 * PI / 8
         or 13 * PI / 8 <= direction < 15 * PI / 8
     ):
      __UpperCamelCase				      =  sobel_grad[row - 1, col - 1]
      __UpperCamelCase				      =  sobel_grad[row + 1, col + 1]
      if sobel_grad[row, col] >= nw and sobel_grad[row, col] >= se:
       __UpperCamelCase				      =  sobel_grad[row, col]
  
   return destination
  
  
  
  
  
  
  
  def _lowercase   (  __A							,__A							,__A							,__A							,__A							,__A       ):
  
  
  
   '''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:
      __UpperCamelCase				      =  strong
     elif destination[row, col] <= threshold_low:
      __UpperCamelCase				      =  0
     else:
      __UpperCamelCase				      =  weak
  
  
  
  
  
  
  
  def _lowercase   (  __A							,__A							,__A							,__A       ):
  
  
  
   '''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],
      ):
       __UpperCamelCase				      =  strong
      else:
       __UpperCamelCase				      =  0
  
  
  
  
  
  
  
  def _lowercase   (  __A							,__A=15							,__A=30							,__A=128							,__A=255       ):
  
  
  
   '''simple docstring'''
  
  
  
   __UpperCamelCase				      =  img_convolve(__A							,gen_gaussian_kernel(9							,sigma=1.4       )       )
   # get the gradient and degree by sobel_filter
   __UpperCamelCase      ,		__UpperCamelCase				      =  sobel_filter(__A       )
   __UpperCamelCase				      =  PI + np.radadeg(__A       )
  
   __UpperCamelCase				      =  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
      a__						:			List[str]										=			cva.imread(R'../image_data/lena.jpg', 0)
      # canny edge detection
      a__						:			Tuple										=			canny(lena)
      cva.imshow('canny', canny_destination)
      cva.waitKey(0)
  
  
  
  
  
  
style_context: 
  
  
  
  '''simple docstring'''
  
  
  
  a__						:			Any										=			{
      '0000': '0',
      '0001': '1',
      '0010': '2',
      '0011': '3',
      '0100': '4',
      '0101': '5',
      '0110': '6',
      '0111': '7',
      '1000': '8',
      '1001': '9',
      '1010': 'a',
      '1011': 'b',
      '1100': 'c',
      '1101': 'd',
      '1110': 'e',
      '1111': 'f',
  }
  
  
  
  
  
  
  
  def _lowercase   (  __A       ):
  
  
  
   '''simple docstring'''
  
  
  
   __UpperCamelCase				      =  str(__A       ).strip()
  
   # Exceptions
   if not binary_str:
    raise ValueError("""Empty string was passed to the function"""       )
   __UpperCamelCase				      =  binary_str[0] == """-"""
   __UpperCamelCase				      =  binary_str[1:] if is_negative else binary_str
   if not all(char in """01""" for char in binary_str       ):
    raise ValueError("""Non-binary value was passed to the function"""       )
  
   __UpperCamelCase				      =  (
       """0""" * (4 * (divmod(len(__A       )							,4       )[0] + 1) - len(__A       )) + binary_str
   )
  
   __UpperCamelCase				      =  []
   for x in range(0							,len(__A       )							,4       ):
    hexadecimal.append(BITS_TO_HEX[binary_str[x : x + 4]]       )
   __UpperCamelCase				      =  """0x""" + """""".join(__A       )
  
   return "-" + hexadecimal_str if is_negative else hexadecimal_str
  
  
  if __name__ == "__main__":
   from doctest import testmod
  
   testmod()
  
  
  
  
  
  