Python convolution примеры использования

Пример #1

Файл: fundamentals.py Проект: CVL-dev/StructuralBiology

def cnvnpl(e, f, center=True):
	"""
		Name
			cnvnpl - calculate the normalized convolution function between two images
		Input
			e: input image (real)
			ref:second input image (real) 
			center: if set to True (default), the origin of the result is at the center
		Output
			convolution function between image and ref. Real.
	"""
	from EMAN2 import convolution, fp_flag
	return convolution(e,f,fp_flag.PADDED_NORMALIZED_LAG, center)

Пример #2

def cnvnpl(e, f, center=True):
	"""
		Name
			cnvnpl - calculate the normalized convolution function between two images
		Input
			e: input image (real)
			ref:second input image (real) 
			center: if set to True (default), the origin of the result is at the center
		Output
			convolution function between image and ref. Real.
	"""
	from EMAN2 import convolution, fp_flag
	return convolution(e,f,fp_flag.PADDED_NORMALIZED_LAG, center)

Пример #3

Файл: fundamentals.py Проект: CVL-dev/StructuralBiology

def cnv(e, f, center=True):
	"""
		Name
			cnv - calculate the circulant convolution function between two images
		Input
			e: input image, can be either real or Fourier
			ref: second input image, can be either real or Fourier.
			center: if set to True (default), the origin of the result is at the center
		Output
			circulant convolution function between image and ref. Real.
	"""
	from EMAN2 import convolution, fp_flag
	return convolution(e,f,fp_flag.CIRCULANT, center)

Пример #4

def cnv(e, f, center=True):
	"""
		Name
			cnv - calculate the circulant convolution function between two images
		Input
			e: input image, can be either real or Fourier
			ref: second input image, can be either real or Fourier.
			center: if set to True (default), the origin of the result is at the center
		Output
			circulant convolution function between image and ref. Real.
	"""
	from EMAN2 import convolution, fp_flag
	return convolution(e,f,fp_flag.CIRCULANT, center)