# algorithms.registration.chain_transform¶

## Module: algorithms.registration.chain_transform¶

Inheritance diagram for nipy.algorithms.registration.chain_transform:

Chain transforms

## ChainTransform¶

class nipy.algorithms.registration.chain_transform.ChainTransform(optimizable, pre=None, post=None)

Bases: object

__init__(optimizable, pre=None, post=None)

Create chain transform instance

Parameters: optimizable : array or Transform Transform that we are optimizing. If this is an array, then assume it’s an affine matrix. pre : None or array or Transform, optional If not None, a transform that should be applied to points before applying the optimizable transform. If an array, then assume it’s an affine matrix. post : None or Transform, optional If not None, a transform that should be applied to points after applying any pre transform, and then the optimizable transform. If an array, assume it’s an affine matrix
apply(pts)

Apply full transformation to points pts

If there are N points, then pts will be N by 3

Parameters: pts : array-like array of points transformed_pts : array N by 3 array of transformed points
param

get/set param