


import cva
import numpy as np





class  lowerCAmelCase__:






    '''simple docstring'''





    def __init__(	self				:   Dict       ,   __snake_case				:   float       ,   __snake_case				:   int	):





       '''simple docstring'''

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





    def __str__(	self				:   str	):





       '''simple docstring'''
       return str(self.k	)





    def 					_lowerCamelCase (	self				:   Optional[int]       ,   __snake_case				:   str	):





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

             UpperCAmelCase_							:      Dict						=   (wxx * wyy) - (wxy**2)
             UpperCAmelCase_							:      str						=   wxx + wyy
             UpperCAmelCase_							:      str						=   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				:  int      					=							HarrisCorner(0.04, 3)
       __UpperCamelCase					,					__UpperCamelCase				:  Optional[Any]      					=							edge_detect.detect('path_to_image')
       cva.imwrite('detect.png', color_img)



from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def      snake_case_						( ):
   UpperCAmelCase_							:      str						=   HfArgumentParser(__lowercase       )
   UpperCAmelCase_							:      Optional[Any]						=   parser.parse_args_into_dataclasses()[0]
   UpperCAmelCase_							:      Optional[int]						=   TensorFlowBenchmark(args=__lowercase       )
   try:
      UpperCAmelCase_							:      List[Any]						=   parser.parse_args_into_dataclasses()[0]
   except ValueError as e:
      UpperCAmelCase_							:      List[Any]						=   '''Arg --no_{0} is no longer used, please use --no-{0} instead.'''
      UpperCAmelCase_							:      List[str]						=   ''' '''.join(str(__lowercase       ).split(''' '''       )[:-1]       )
      UpperCAmelCase_							:      Optional[int]						=   ''''''
      UpperCAmelCase_							:      Dict						=   eval(str(__lowercase       ).split(''' '''       )[-1]       )
      UpperCAmelCase_							:      int						=   []
      for arg in depreciated_args:
         # arg[2:] removes '--'
         if arg[2:] in TensorFlowBenchmark.deprecated_args:
            # arg[5:] removes '--no_'
            full_error_msg += arg_error_msg.format(arg[5:]       )
         else:
            wrong_args.append(__lowercase       )
      if len(__lowercase       ) > 0:
         UpperCAmelCase_							:      Tuple						=   full_error_msg + begin_error_msg + str(__lowercase       )
      raise ValueError(__lowercase       )
   benchmark.run()


if __name__ == "__main__":
       main()