






import cva
import numpy as np

class 		_snake_case  :






			def __init__(       self		,					a		,					a)      ->       Tuple:

						if k in (0.04, 0.06):
									SCREAMING_SNAKE_CASE						= k
									SCREAMING_SNAKE_CASE						= window_size
						else:
									raise ValueError('invalid k value')






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







			def    SCREAMING_SNAKE_CASE__    (       self		,					a)      ->       tuple[cva.Mat, list[list[int]]]:
						SCREAMING_SNAKE_CASE						= cva.imread(a		,					0)
						SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE						= img.shape
						SCREAMING_SNAKE_CASE						= []
						SCREAMING_SNAKE_CASE						= img.copy()
						SCREAMING_SNAKE_CASE						= cva.cvtColor(a		,					cva.COLOR_GRAY2RGB)
						SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE						= np.gradient(a)
						SCREAMING_SNAKE_CASE						= dx**2
						SCREAMING_SNAKE_CASE						= dy**2
						SCREAMING_SNAKE_CASE						= dx * dy
						SCREAMING_SNAKE_CASE						= 0.04
						SCREAMING_SNAKE_CASE						= self.window_size // 2
						for y in range(a		,					h - offset):
									for x in range(a		,					w - offset):
												SCREAMING_SNAKE_CASE						= ixx[
												    y - offset : y + offset + 1, x - offset : x + offset + 1
												].sum()
												SCREAMING_SNAKE_CASE						= iyy[
												    y - offset : y + offset + 1, x - offset : x + offset + 1
												].sum()
												SCREAMING_SNAKE_CASE						= ixy[
												    y - offset : y + offset + 1, x - offset : x + offset + 1
												].sum()

												SCREAMING_SNAKE_CASE						= (wxx * wyy) - (wxy**2)
												SCREAMING_SNAKE_CASE						= wxx + wyy
												SCREAMING_SNAKE_CASE						= 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__":
				a_		:						Dict             =    HarrisCorner(0.04, 3)
				a_       ,					a_		:						List[Any]             =    edge_detect.detect('path_to_image')
				cva.imwrite('detect.png', color_img)












import unittest

from accelerate import debug_launcher
from accelerate.test_utils import require_cpu, test_ops, test_script

@require_cpu
class 		_snake_case  (  unittest.TestCase					):






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       str:
						debug_launcher(test_script.main)







			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Any:
						debug_launcher(test_ops.main)




