




import unittest

from transformers.utils.backbone_utils import (
    BackboneMixin,
    get_aligned_output_features_output_indices,
    verify_out_features_out_indices,
)







class a (     unittest.TestCase  ):
						"""simple docstring"""

						def     UpperCAmelCase_      ( self :     Dict				)    ->						List[str]:
													"""simple docstring"""


													__lowercase      =    ['''a''', '''b''', '''c''']

													# Defaults to last layer if both are None
													__lowercase     ,     __lowercase      =    get_aligned_output_features_output_indices(lowerCamelCase__				,							lowerCamelCase__				,							lowerCamelCase__				)
													self.assertEqual(lowerCamelCase__				,							['''c''']				)
													self.assertEqual(lowerCamelCase__				,							[2]				)

													# Out indices set to match out features
													__lowercase     ,     __lowercase      =    get_aligned_output_features_output_indices(['''a''', '''c''']				,							lowerCamelCase__				,							lowerCamelCase__				)
													self.assertEqual(lowerCamelCase__				,							['''a''', '''c''']				)
													self.assertEqual(lowerCamelCase__				,							[0, 2]				)

													# Out features set to match out indices
													__lowercase     ,     __lowercase      =    get_aligned_output_features_output_indices(lowerCamelCase__				,							[0, 2]				,							lowerCamelCase__				)
													self.assertEqual(lowerCamelCase__				,							['''a''', '''c''']				)
													self.assertEqual(lowerCamelCase__				,							[0, 2]				)

													# Out features selected from negative indices
													__lowercase     ,     __lowercase      =    get_aligned_output_features_output_indices(lowerCamelCase__				,							[-3, -1]				,							lowerCamelCase__				)
													self.assertEqual(lowerCamelCase__				,							['''a''', '''c''']				)
													self.assertEqual(lowerCamelCase__				,							[-3, -1]				)






						def     UpperCAmelCase_      ( self :     Optional[int]				)    ->						Optional[Any]:
													"""simple docstring"""


													with self.assertRaises(lowerCamelCase__				):
																				verify_out_features_out_indices(['''a''', '''b''']				,							(0, 1)				,							lowerCamelCase__				)

													# Out features must be a list
													with self.assertRaises(lowerCamelCase__				):
																				verify_out_features_out_indices(('''a''', '''b''')				,							(0, 1)				,							['''a''', '''b''']				)

													# Out features must be a subset of stage names
													with self.assertRaises(lowerCamelCase__				):
																				verify_out_features_out_indices(['''a''', '''b''']				,							(0, 1)				,							['''a''']				)

													# Out indices must be a list or tuple
													with self.assertRaises(lowerCamelCase__				):
																				verify_out_features_out_indices(lowerCamelCase__				,							0				,							['''a''', '''b''']				)

													# Out indices must be a subset of stage names
													with self.assertRaises(lowerCamelCase__				):
																				verify_out_features_out_indices(lowerCamelCase__				,							(0, 1)				,							['''a''']				)

													# Out features and out indices must be the same length
													with self.assertRaises(lowerCamelCase__				):
																				verify_out_features_out_indices(['''a''', '''b''']				,							(0,)				,							['''a''', '''b''', '''c''']				)

													# Out features should match out indices
													with self.assertRaises(lowerCamelCase__				):
																				verify_out_features_out_indices(['''a''', '''b''']				,							(0, 2)				,							['''a''', '''b''', '''c''']				)

													# Out features and out indices should be in order
													with self.assertRaises(lowerCamelCase__				):
																				verify_out_features_out_indices(['''b''', '''a''']				,							(0, 1)				,							['''a''', '''b''']				)

													# Check passes with valid inputs
													verify_out_features_out_indices(['''a''', '''b''', '''d''']				,							(0, 1, -1)				,							['''a''', '''b''', '''c''', '''d''']				)






						def     UpperCAmelCase_      ( self :     Any				)    ->						Any:
													"""simple docstring"""


													__lowercase      =    BackboneMixin()

													__lowercase      =    ['''a''', '''b''', '''c''']
													__lowercase      =    ['''a''', '''c''']
													__lowercase      =    [0, 2]

													# Check that the output features and indices are set correctly
													self.assertEqual(backbone.out_features				,							['''a''', '''c''']				)
													self.assertEqual(backbone.out_indices				,							[0, 2]				)

													# Check out features and indices are updated correctly
													__lowercase      =    ['''a''', '''b''']
													self.assertEqual(backbone.out_features				,							['''a''', '''b''']				)
													self.assertEqual(backbone.out_indices				,							[0, 1]				)

													__lowercase      =    [-3, -1]
													self.assertEqual(backbone.out_features				,							['''a''', '''c''']				)
													self.assertEqual(backbone.out_indices				,							[-3, -1]				)












import cva
import numpy as np







class a :
						"""simple docstring"""

						def __init__( self :     Dict				,							lowerCamelCase__ :     float				,							lowerCamelCase__ :     int				)    ->						Dict:
													"""simple docstring"""


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






						def __str__( self :     int				)    ->						str:
													"""simple docstring"""


													return str(self.k				)






						def     UpperCAmelCase_      ( self :     Dict				,							lowerCamelCase__ :     str				)    ->						tuple[cva.Mat, list[list[int]]]:
													"""simple docstring"""


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

																											__lowercase      =    (wxx * wyy) - (wxy**2)
																											__lowercase      =    wxx + wyy
																											__lowercase      =    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__				     = HarrisCorner(0.04, 3)
			UpperCAmelCase__     ,							UpperCAmelCase__				     = edge_detect.detect("path_to_image")
			cva.imwrite("detect.png", color_img)






