def __init__(self, morph, PtSrc=None):
PtSrc = SectionVistorFactory.array3_all_points() if PtSrc == None else PtSrc
X = PtSrc(morph)
# Refactored out 'map' in August 2012
offset = np.array([sum(col) for col in X.T]) / len(X)
# _get_mean(PtSrc(morph)) * -1.0
super(MorphologyMeanCenterer, self).__init__(offset)
def __init__(self, morph):
axes = _pca(SectionVistorFactory.array3_all_points(morph)())
eigenvec1 = axes[0][1] / norm(axes[0][1])
eigenvec2 = axes[1][1] / norm(axes[1][1])
eigenvec3 = axes[2][1] / norm(axes[2][1])
self.eigen_matrix = numpy.array((eigenvec1, eigenvec2, eigenvec3)).T
self.inv_mat = linalg.inv(self.eigen_matrix)
def __init__(self, morph):
axes = _pca(SectionVistorFactory.array3_all_points(morph)())
eigenvec1 = axes[0][1] / norm(axes[0][1])
eigenvec2 = axes[1][1] / norm(axes[1][1])
eigenvec3 = axes[2][1] / norm(axes[2][1])
self.eigen_matrix = numpy.array((eigenvec1, eigenvec2, eigenvec3)).T
self.inv_mat = linalg.inv(self.eigen_matrix)
def __init__(self, morph, PtSrc=None):
PtSrc = SectionVistorFactory.array3_all_points(
) if PtSrc == None else PtSrc
X = PtSrc(morph)
# Refactored out 'map' in August 2012
# offset = array(map(numpy.sum, X.T)) / len(X)
offset = array([sum(col) for col in X.T]) / len(X)
# _get_mean(PtSrc(morph)) * -1.0
super(MorphologyMeanCenterer, self).__init__(offset)
