
import cva
import numpy as np

class __snake_case		:
    def __init__(  self		,snake_case		,snake_case				):



           '''simple docstring'''







           if k in (0.04, 0.06):
                  lowercase							:					Tuple	     =				k
                  lowercase							:					Union[str, Any]	     =				window_size
           else:
                  raise ValueError("""invalid k value"""				)
    def __str__(  self				):



           '''simple docstring'''







           return str(self.k				)
    def 				_SCREAMING_SNAKE_CASE	(  self		,snake_case				):



           '''simple docstring'''







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

                         lowercase							:					Any	     =				(wxx * wyy) - (wxy**2)
                         lowercase							:					List[Any]	     =				wxx + wyy
                         lowercase							:					List[Any]	     =				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__":
  lowercase  : List[Any]						   =							HarrisCorner(0.0_4, 3)
  lowercase   ,  lowercase  : Tuple						   =							edge_detect.detect("""path_to_image""")
  cva.imwrite("""detect.png""", color_img)


from collections.abc import Callable

import numpy as np







def 						_snake_case(  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )			->   np.array:
       lowercase							:					Optional[int]	     =				int(np.ceil((x_end - xa) / step_size    )    )
       lowercase							:					List[Any]	     =				np.zeros((n + 1,)    )
       lowercase							:					Optional[int]	     =				ya
       lowercase							:					Optional[int]	     =				xa

       for k in range(SCREAMING_SNAKE_CASE__    ):
              lowercase							:					str	     =				y[k] + step_size * ode_func(SCREAMING_SNAKE_CASE__ ,     y[k]    )
              lowercase							:					Union[str, Any]	     =				y[k] + (
                  (step_size / 2) * (ode_func(SCREAMING_SNAKE_CASE__ ,     y[k]    ) + ode_func(x + step_size ,     SCREAMING_SNAKE_CASE__    ))
              )
              x += step_size

       return y


if __name__ == "__main__":
  import doctest

  doctest.testmod()
