





import numpy as np
from cva import COLOR_BGR2GRAY, CV_8UC3, cvtColor, filteraD, imread, imshow, waitKey

def       A__(		__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase ):

				# prepare kernel
				# the kernel size have to be odd
				if (ksize % 2) == 0:
								_snake_case :			Union[str, Any]  						=   ksize + 1
				_snake_case :			Union[str, Any]  						=   np.zeros((ksize, ksize)	,			dtype=np.floataa )

				# each value
				for y in range(__lowerCAmelCase ):
								for x in range(__lowerCAmelCase ):
												# distance from center
												_snake_case :			Optional[int]  						=   x - ksize // 2
												_snake_case :			Any  						=   y - ksize // 2

												# degree to radiant
												_snake_case :			Dict  						=   theta / 1_80 * np.pi
												_snake_case :			int  						=   np.cos(_theta )
												_snake_case :			List[Any]  						=   np.sin(_theta )

												# get kernel x
												_snake_case :			Dict  						=   cos_theta * px + sin_theta * py

												# get kernel y
												_snake_case :			Tuple  						=   -sin_theta * px + cos_theta * py

												# fill kernel
												_snake_case :			List[Any]  						=   np.exp(
												    -(_x**2 + gamma**2 * _y**2) / (2 * sigma**2) ) * np.cos(2 * np.pi * _x / lambd + psi )

				return gabor


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		# read original image
		lowercase_		:				List[str]				=						imread('''../image_data/lena.jpg''')
		# turn image in gray scale value
		lowercase_		:				Optional[int]				=						cvtColor(img, COLOR_BGR2GRAY)

		# Apply multiple Kernel to detect edges
		lowercase_		:				List[Any]				=						np.zeros(gray.shape[:2])
		for theta in [0, 30, 60, 90, 120, 150]:
				lowercase_		:				Tuple				=						gabor_filter_kernel(10, 8, theta, 10, 0, 0)
				out += filteraD(gray, CV_8UC3, kernel_aa)
		lowercase_		:				int				=						out / out.max() * 255
		lowercase_		:				List[Any]				=						out.astype(np.uinta)

		imshow('''Original''', gray)
		imshow('''Gabor filter with 20x20 mask and 6 directions''', out)

		waitKey(0)













lowercase_		:				Tuple				=						'''
# Installazione di Transformers
! pip install transformers datasets
# Per installare dalla fonte invece dell\'ultima versione rilasciata, commenta il comando sopra e
# rimuovi la modalità commento al comando seguente.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

lowercase_		:				Optional[int]				=						[{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
lowercase_		:				str				=						{
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}






