EigenPy — Efficient Python bindings between Numpy/Eigen ====== <p align="center"> <a href="https://opensource.org/licenses/BSD-2-Clause"><img src="https://img.shields.io/badge/License-BSD%202--Clause-green.svg" alt="License"/></a> <a href="https://travis-ci.org/stack-of-tasks/eigenpy"><img src="https://travis-ci.org/stack-of-tasks/eigenpy.svg?branch=master" alt="Build Status"/></a> <a href="https://anaconda.org/conda-forge/eigenpy"><img src="https://img.shields.io/conda/dn/conda-forge/eigenpy.svg" alt="Conda Downloads"/></a> <a href="https://anaconda.org/conda-forge/eigenpy"><img src="https://img.shields.io/conda/vn/conda-forge/eigenpy.svg" alt="Conda Version"/></a> <a href="https://conda.anaconda.org/conda-forge"><img src="https://anaconda.org/conda-forge/eigenpy/badges/installer/conda.svg" alt="Anaconda-Server Badge"/></a> </p> **EigenPy** is an open source framework which allows to bind the famous [Eigen](http://eigen.tuxfamily.org) in Python as NumPy object (as matrix or array). **EigenPy** allows the sharing of memory between Numpy and Eigen avoiding memory allocation. **EigenPy** fully support Eigen::Ref avoiding memory allocation. **EigenPy** also exposes the Geometry module of Eigen for easy code prototyping. **EigenPy** also supports the basic matrix decomposion routines of Eigen such as the Cholesky decomposition, SVD decomposition, QR decomposition, and etc. ## Setup The installation of **EigenPy** on your computer is made easy for Linux/BSD and Mac OS X environments. ### The Conda approach You simply need this simple line: ``` conda install eigenpy -c conda-forge ``` ### Ubuntu You can easily install **EigenPy** from binairies. #### Add robotpkg apt repository 1. Add robotpkg as source repository to apt: ``` sudo sh -c "echo 'deb [arch=amd64] http://robotpkg.openrobots.org/packages/debian/pub $(lsb_release -cs) robotpkg' >> /etc/apt/sources.list.d/robotpkg.list" ``` 2. Register the authentication certificate of robotpkg: ``` curl http://robotpkg.openrobots.org/packages/debian/robotpkg.key | sudo apt-key add - ``` 3. You need to run at least once apt update to fetch the package descriptions: ``` sudo apt-get update ``` #### Install EigenPy 4. The installation of **EigenPy** and its dependencies is made through the line: For Python 2.7 ``` sudo apt install robotpkg-py27-eigenpy ``` or for Python 3.{5,6,7} ``` sudo apt install robotpkg-py35-eigenpy ``` where 35 should be replaced by the python 3 you want to work this (e.g. `robotpkg-py36-eigenpy` to work with Python 3.6). ### Mac OS X The installation of **EigenPy** on Mac OS X is made via [HomeBrew](https://brew.sh/). You just need to register the tap of the sofware repository. ``` brew tap gepetto/homebrew-gepetto ``` and then install **EigenPy** for Python 3.x with: ``` brew install eigenpy ``` or for Python 2.7: ``` brew install eigenpy@2 ``` ## Credits The following people have been involved in the development of **EigenPy**: - [Justin Carpentier](https://jcarpent.github.io) (INRIA): main developer and manager of the project - [Nicolas Mansard](http://projects.laas.fr/gepetto/index.php/Members/NicolasMansard) (LAAS-CNRS): initial project instructor - [Wolfgang Merkt](http://www.wolfgangmerkt.com/) (University of Edinburgh): ROS integration and support - [Sean Yen](https://www.linkedin.com/in/seanyentw) (Microsoft): Windows integration - [Loïc Estève](https://github.com/lesteve) (INRIA): Conda integration If you have taken part to the development of **EigenPy**, feel free to add your name and contribution here. ## Acknowledgments The development of **EigenPy** is supported by the [Gepetto team](http://projects.laas.fr/gepetto/) [@LAAS-CNRS](http://www.laas.fr) and the [Willow team](https://www.di.ens.fr/willow/) [@INRIA](http://www.inria.fr).