




import cva
import numpy as np




class       a__	:







     def __init__(     self  ,		A  ,		A			)  ->   Optional[Any]:



          '''simple docstring'''



          if k in (0.0_4, 0.0_6):
               a     =				k
               a     =				window_size
          else:
               raise ValueError("invalid k value"			)







     def __str__(     self			)  ->   str:



          '''simple docstring'''



          return str(self.k			)







     def       lowerCAmelCase_    (     self  ,		A			)  ->   tuple[cva.Mat, list[list[int]]]:



          '''simple docstring'''



          a     =				cva.imread(A  ,		0			)
          a  ,				a     =				img.shape
          a     =				[]
          a     =				img.copy()
          a     =				cva.cvtColor(A  ,		cva.COLOR_GRAY2RGB			)
          a  ,				a     =				np.gradient(A			)
          a     =				dx**2
          a     =				dy**2
          a     =				dx * dy
          a     =				0.0_4
          a     =				self.window_size // 2
          for y in range(A  ,		h - offset			):
               for x in range(A  ,		w - offset			):
                    a     =				ixx[
                        y - offset : y + offset + 1, x - offset : x + offset + 1
                    ].sum()
                    a     =				iyy[
                        y - offset : y + offset + 1, x - offset : x + offset + 1
                    ].sum()
                    a     =				ixy[
                        y - offset : y + offset + 1, x - offset : x + offset + 1
                    ].sum()

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










lowercase__				:      Optional[int]	   = [
    "DownloadConfig",
    "DownloadManager",
    "DownloadMode",
    "StreamingDownloadManager",
]

from .download_config import DownloadConfig
from .download_manager import DownloadManager, DownloadMode
from .streaming_download_manager import StreamingDownloadManager

