


'''simple docstring'''







import cva
import numpy as np
class 						UpperCamelCase__       :



     """simple docstring"""






     def __init__(			self   ,						snake_case__   ,						snake_case__ ):

            '''simple docstring'''

            if k in (0.04, 0.06):
                   _lowerCAmelCase     :				int       =							k
                   _lowerCAmelCase     :				List[str]       =							window_size
            else:
                   raise ValueError('invalid k value' )







     def __str__(			self ):

            '''simple docstring'''

            return str(self.k )







     def a						(			self   ,						snake_case__ ):

            '''simple docstring'''

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

                          _lowerCAmelCase     :				Dict       =							(wxx * wyy) - (wxy**2)
                          _lowerCAmelCase     :				int       =							wxx + wyy
                          _lowerCAmelCase     :				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__":
       lowerCAmelCase     :  Union[str, Any]											=    HarrisCorner(0.04, 3)
       lowerCAmelCase						,    lowerCAmelCase     :  Optional[Any]											=    edge_detect.detect("""path_to_image""")
       cva.imwrite("""detect.png""", color_img)





'''simple docstring'''







from ..utils import DummyObject, requires_backends
class 						UpperCamelCase__       (			metaclass=SCREAMING_SNAKE_CASE_						):



     """simple docstring"""






     __magic_name__           =     ["torch", "torchsde"]







     def __init__(			self   ,						*snake_case__   ,						**snake_case__ ):

            '''simple docstring'''

            requires_backends(self   ,						['torch', 'torchsde'] )







     @classmethod
     def a						(			cls   ,						*snake_case__   ,						**snake_case__ ):

            '''simple docstring'''

            requires_backends(cls   ,						['torch', 'torchsde'] )







     @classmethod
     def a						(			cls   ,						*snake_case__   ,						**snake_case__ ):

            '''simple docstring'''

            requires_backends(cls   ,						['torch', 'torchsde'] )

