fsleyes.displaycontext.tensoropts

This module provides the TensorOpts class, which defines options for displaying GLTensor instances.

class fsleyes.displaycontext.tensoropts.TensorOpts(*args, **kwargs)

Bases: fsleyes.displaycontext.vectoropts.VectorOpts

The TensorOpts class defines options for displaying GLTensor instances.

lighting = <MagicMock name='mock.Boolean()' id='281473497326640'>

Enables a basic lighting model on the tensor ellipsoids.

tensorResolution = <MagicMock name='mock.Int()' id='281473494293760'>

Tensor ellipsoid resolution - this value controls the number of vertices used to represent each tensor. It is ultimately passed to the routines.unitSphere() function.

__module__ = 'fsleyes.displaycontext.tensoropts'

tensorScale = <MagicMock name='mock.Percentage()' id='281473488836064'>

Scaling factor - by default, the tensor ellipsoids are scaled such that the biggest tensor (as defined by the first principal eigenvalue) fits inside a voxel. This parameter can be used to adjust this scale.

__init__(*args, **kwargs)

Create a TensorOpts instance. All arguments are passed through to VectorOpts.__init__().