




import cva
import numpy as np







class 				lowerCAmelCase_       :






				def __init__(			self      ,snake_case__      ,snake_case__ ):

							if k in (0.04, 0.06):
										SCREAMING_SNAKE_CASE_   : Dict					  =      k
										SCREAMING_SNAKE_CASE_   : Optional[int]					  =      window_size
							else:
										raise ValueError('invalid k value' )






				def __str__(			self ):
							return str(self.k )






				def 		snake_case	(			self      ,snake_case__ ):
							SCREAMING_SNAKE_CASE_   : Union[str, Any]					  =      cva.imread(snake_case__      ,0 )
							SCREAMING_SNAKE_CASE_  ,    SCREAMING_SNAKE_CASE_   : List[Any]					  =      img.shape
							SCREAMING_SNAKE_CASE_   : list[list[int]]					  =      []
							SCREAMING_SNAKE_CASE_   : int					  =      img.copy()
							SCREAMING_SNAKE_CASE_   : int					  =      cva.cvtColor(snake_case__      ,cva.COLOR_GRAY2RGB )
							SCREAMING_SNAKE_CASE_  ,    SCREAMING_SNAKE_CASE_   : Dict					  =      np.gradient(snake_case__ )
							SCREAMING_SNAKE_CASE_   : str					  =      dx**2
							SCREAMING_SNAKE_CASE_   : Union[str, Any]					  =      dy**2
							SCREAMING_SNAKE_CASE_   : List[str]					  =      dx * dy
							SCREAMING_SNAKE_CASE_   : Tuple					  =      0.04
							SCREAMING_SNAKE_CASE_   : Tuple					  =      self.window_size // 2
							for y in range(snake_case__      ,h - offset ):
										for x in range(snake_case__      ,w - offset ):
													SCREAMING_SNAKE_CASE_   : int					  =      ixx[
													    y - offset : y + offset + 1, x - offset : x + offset + 1
													].sum()
													SCREAMING_SNAKE_CASE_   : str					  =      iyy[
													    y - offset : y + offset + 1, x - offset : x + offset + 1
													].sum()
													SCREAMING_SNAKE_CASE_   : Union[str, Any]					  =      ixy[
													    y - offset : y + offset + 1, x - offset : x + offset + 1
													].sum()

													SCREAMING_SNAKE_CASE_   : Tuple					  =      (wxx * wyy) - (wxy**2)
													SCREAMING_SNAKE_CASE_   : int					  =      wxx + wyy
													SCREAMING_SNAKE_CASE_   : Optional[int]					  =      det - k * (trace**2)
													# Can change the value
													if r > 0.5:
																corner_list.append([x, y, r] )
																color_img.itemset((y, x, 0)      ,0 )
																color_img.itemset((y, x, 1)      ,0 )
																color_img.itemset((y, x, 2)      ,255 )
							return color_img, corner_list


if __name__ == "__main__":
						UpperCamelCase__ :   Union[str, Any]						=							HarrisCorner(0.04, 3)
						UpperCamelCase__						,						UpperCamelCase__ :   List[str]						=							edge_detect.detect('''path_to_image''')
						cva.imwrite('''detect.png''', color_img)









def        __UpperCAmelCase						(							lowerCamelCase_ :     List[str]  ,							lowerCamelCase_ :     Optional[Any]  )       ->  int:







			"""simple docstring"""





			SCREAMING_SNAKE_CASE_   : List[Any]					  =      [0 for i in range(r + 1  )]
			# nc0 = 1
			SCREAMING_SNAKE_CASE_   : Dict					  =      1
			for i in range(1  ,							n + 1  ):
						# to compute current row from previous row.
						SCREAMING_SNAKE_CASE_   : Optional[int]					  =      min(lowerCamelCase_  ,							lowerCamelCase_  )
						while j > 0:
									c[j] += c[j - 1]
									j -= 1
			return c[r]




print(binomial_coefficient(n=10, r=5))



