# tps
[](https://github.com/raphaelreme/tps/actions/workflows/tests.yml)
Implementation of Thin Plate Spline.
(For a faster implementation in torch, look at [torch-tps](https://github.com/raphaelreme/torch-tps))
## Install
### Pip
```bash
$ pip install thin-plate-spline
```
### Conda
Not yet available
## Getting started
```python
import numpy as np
from tps import ThinPlateSpline
# Some data
X_c = np.random.normal(0, 1, (800, 3))
X_t = np.random.normal(0, 2, (800, 2))
X = np.random.normal(0, 1, (300, 3))
# Create the tps object
tps = ThinPlateSpline(alpha=0.0) # 0 Regularization
# Fit the control and target points
tps.fit(X_c, X_t)
# Transform new points
Y = tps.transform(X)
```
## Examples
We provide different examples in the `example` folder. (From interpolation, to multidimensional cases and image warping).
### Image warping
The elastic deformation of TPS can be used for image warping. Here is an example of tps to increase/decrease the size of the center of the image or using random control points:
Have a look at `example/image_warping.py`.
## Build and Deploy
```bash
$ python -m build
$ python -m twine upload dist/*
```
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