gtsam/README.md

README - Georgia Tech Smoothing and Mapping library
===================================================

What is GTSAM?
--------------

GTSAM is a library of C++ classes that implement smoothing and
mapping (SAM) in robotics and vision, using factor graphs and Bayes
networks as the underlying computing paradigm rather than sparse
matrices.

On top of the C++ library, GTSAM includes a MATLAB interface (enable
GTSAM_INSTALL_MATLAB_TOOLBOX in CMake to build it). A Python interface
is under development.

Quickstart
----------

In the root library folder execute:

```
#!bash
$ mkdir build
$ cd build
$ cmake ..
$ make check (optional, runs unit tests)
$ make install
```

Prerequisites:

- [Boost](http://www.boost.org/users/download/) >= 1.43 (Ubuntu: `sudo apt-get install libboost-all-dev`)
- [CMake](http://www.cmake.org/cmake/resources/software.html) >= 2.6 (Ubuntu: `sudo apt-get install cmake`)

Optional prerequisites - used automatically if findable by CMake:

- [Intel Threaded Building Blocks (TBB)](http://www.threadingbuildingblocks.org/) (Ubuntu: `sudo apt-get install libtbb-dev`)
- [Intel Math Kernel Library (MKL)](http://software.intel.com/en-us/intel-mkl)

Additional Information
----------------------

See the [`INSTALL`](https://bitbucket.org/gtborg/gtsam/src/develop/INSTALL) file for more detailed installation instructions.

GTSAM is open source under the BSD license, see the [`LICENSE`](LICENSE) and [`LICENSE.BSD`](https://bitbucket.org/gtborg/gtsam/src/develop/LICENSE.BSD) files.

Please see the [`examples/`](https://bitbucket.org/gtborg/gtsam/src/develop/examples) directory and the [`USAGE`](https://bitbucket.org/gtborg/gtsam/src/develop/USAGE) file for examples on how to use GTSAM.