Metadata-Version: 2.1
Name: pyransac3d
Version: 0.5.1
Summary: A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm 
Home-page: https://github.com/leomariga/pyRANSAC-3D
Author: Leonardo Mariga
Author-email: leomariga@gmail.com
License: UNKNOWN
Project-URL: Documentation, https://leomariga.github.io/pyRANSAC-3D/
Project-URL: Source, https://github.com/leomariga/pyRANSAC-3D
Keywords: point-cloud,segmentation,ransac,cuboid,3d-reconstruction,cylinder,planes,open3d,plane-detection,ransac-algorithm
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown


<div align="center">
  <img src="https://raw.githubusercontent.com/leomariga/pyRANSAC-3D/master/doc/logo.png"><br>
</div>

-----------------
[![PyPI Latest Release](https://img.shields.io/pypi/v/pyransac3d.svg?style=for-the-badge)](https://pypi.org/project/pyransac3d/)
[![License](https://img.shields.io/pypi/l/pyransac3d.svg?style=for-the-badge)](https://github.com/leomariga/pyransac3d/blob/master/LICENSE)

## What is pyRANSAC-3D?
**_pyRANSAC-3D_** is an open source implementation of Random sample consensus (RANSAC) method. It fits primitive shapes such as planes, cuboids and cylinder in a point cloud to many aplications: 3D slam, 3D reconstruction, object tracking and many others. 

<div align="center">
  <img src="https://raw.githubusercontent.com/leomariga/pyRANSAC-3D/master/doc/plano.gif"><br>
</div>

#### Features:
 - [Plane](https://leomariga.github.io/pyRANSAC-3D/api-documentation/plane/)
 - [Cylinder](https://leomariga.github.io/pyRANSAC-3D/api-documentation/cylinder/)
 - [Cuboid](https://leomariga.github.io/pyRANSAC-3D/api-documentation/cuboid/)
 - [Sphere](https://leomariga.github.io/pyRANSAC-3D/api-documentation/sphere/)
 - [Line](https://leomariga.github.io/pyRANSAC-3D/api-documentation/line/)
 - [Circle](https://leomariga.github.io/pyRANSAC-3D/api-documentation/circle/)
 - [Point](https://leomariga.github.io/pyRANSAC-3D/api-documentation/point/)


## Installation
Requirements: Numpy

Install with [Pypi](https://pypi.org/project/pyransac3d/):

```sh
pip3 install pyransac3d
```

## Take a look: 

### Example 1 - Planar RANSAC

``` 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)

```

Results in the plane equation Ax+By+Cz+D:
`[1, 0.5, 2, 0]`

### Example 2 - Spherical RANSAC

Loading a noisy sphere's point cloud with r = 5 centered in 0 we can use the following code:

``` 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)

```

Results:
``` python
center: [0.010462385575072288, -0.2855090643954039, 0.02867848979091283]
radius: 5.085218633039647
```

![3D Sphere](https://raw.githubusercontent.com/leomariga/pyRANSAC-3D/master/doc/sphere.gif "3D Sphere")


## Documentation & other links
 - The [documentation is this Ṕage](https://leomariga.github.io/pyRANSAC-3D/).
 - Source code in the [Github repository](https://github.com/leomariga/pyRANSAC-3D).
 - [Pypi pakage installer](https://pypi.org/project/pyransac3d/)
 - You can find the animations you see in the documentation on branch [Animations](https://github.com/leomariga/pyRANSAC-3D/tree/Animations). It needs [Open3D](https://github.com/intel-isl/Open3D) library to run. The Animation branch is not regularly maintained, it only exists to create some cool visualizations ;D 


## License
[Apache 2.0](https://github.com/leomariga/pyRANSAC-3D/blob/master/LICENSE)

## Contributing is awesome!

See [CONTRIBUTING](https://github.com/leomariga/pyRANSAC-3D/blob/master/CONTRIBUTING.md)




## Contact

Developed with :heart: by the internet


Mainteiner: [Leonardo Mariga](https://github.com/leomariga) 

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