### Install pyransac3d

Source: https://github.com/leomariga/pyransac-3d/blob/master/README.md

Install the pyransac3d library using pip. Ensure you have Python 3 installed.

```sh
pip3 install pyransac3d
```

--------------------------------

### Fit a Plane using RANSAC

Source: https://github.com/leomariga/pyransac-3d/blob/master/README.md

Fit a plane to a point cloud using pyRANSAC-3D. Load your points as a NumPy array (N, 3) and specify a tolerance for inlier points.

```python
import pyransac3d as pyrsc

points = load_points(.) # Load your point cloud as a numpy array (N, 3)

plane1 = pyrsc.Plane()
best_eq, best_inliers = plane1.fit(points, 0.01)

```

--------------------------------

### Fit a Sphere using RANSAC

Source: https://github.com/leomariga/pyransac-3d/blob/master/README.md

Fit a sphere to a noisy point cloud using pyRANSAC-3D. Load your points as a NumPy array (N, 3) and provide a threshold for inlier points.

```python
import pyransac3d as pyrsc

points = load_points(.) # Load your point cloud as a numpy array (N, 3)

sph = pyrsc.Sphere()
center, radius, inliers = sph.fit(points, thresh=0.4)

```

--------------------------------

### pyRANSAC-3D Citation

Source: https://github.com/leomariga/pyransac-3d/blob/master/README.md

Use this citation when referencing the pyRANSAC-3D library in academic work.

```bibtex
@software{Mariga_pyRANSAC-3D_2022,
  author = {Mariga, Leonardo},
  doi = {10.5281/zenodo.7212567},
  month = {10},
  title = {{pyRANSAC-3D}},
  url = {https://github.com/leomariga/pyRANSAC-3D},
  version = {v0.6.0},
  year = {2022}
}

```

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