algorithms.registration.chain_transform¶
Module: algorithms.registration.chain_transform
¶
Inheritance diagram for nipy.algorithms.registration.chain_transform
:

Chain transforms
ChainTransform
¶
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class
nipy.algorithms.registration.chain_transform.
ChainTransform
(optimizable, pre=None, post=None)¶ Bases:
object
Methods
apply
(pts)Apply full transformation to points pts -
__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
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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
Returns: transformed_pts : array
N by 3 array of transformed points
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param
¶ get/set param
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