navis.transforms.thinplate.TPStransform

class navis.transforms.thinplate.TPStransform(landmarks_source, landmarks_target)

Thin Plate Spline transforms of 3D spatial data.

Parameters:

• landmarks_source ((M, 3) numpy array) – Source landmarks as x/y/z coordinates.

• landmarks_target ((M, 3) numpy array) – Target landmarks as x/y/z coordinates.

Examples

>>> from navis import transforms
>>> import numpy as np
>>> # Generate some mock landmarks
>>> src = np.array([[0, 0, 0], [10, 10, 10], [100, 100, 100], [80, 10, 30]])
>>> trg = np.array([[1, 15, 5], [9, 18, 21], [80, 99, 120], [5, 10, 80]])
>>> tr = transforms.thinplate.TPStransform(src, trg)
>>> points = np.array([[0, 0, 0], [50, 50, 50]])
>>> tr.xform(points)
array([[ 1.        , 15.        ,  5.        ],
       [40.55555556, 54.        , 65.        ]])

Initialize class.

__init__(landmarks_source, landmarks_target)

Initialize class.

Methods

__init__(landmarks_source, landmarks_target)	Initialize class.
append(other)	Append another transform to this one.
check_if_possible([on_error])	Test if running the transform is possible.
copy()	Make copy.
xform(points)	Transform points.

Attributes

A
W