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Get Started |
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Prerequisites:
- Boost >= 1.43 (Ubuntu:
sudo apt-get install libboost-all-dev
) - CMake >= 3.0 (Ubuntu:
sudo apt-get install cmake
) - A modern compiler, i.e., at least gcc 4.7.3 on Linux.
Optional prerequisites - used automatically if findable by CMake:
- Intel Threaded Building Blocks (TBB) (Ubuntu:
sudo apt-get install libtbb-dev
) - Intel Math Kernel Library (MKL) (Ubuntu: installing using APT)
- See Build for more installation information
- Note that MKL may not provide a speedup in all cases. Make sure to benchmark your problem with and without MKL.
GTSAM can be installed on Ubuntu via these PPA repositories as well. At present (Nov 2020), packages for Xenial (u16.04), Bionic (u18.04), and Focal (u20.04) are published.
# Add PPA
sudo add-apt-repository ppa:borglab/gtsam-develop
sudo apt update # not necessary since Bionic
# Install:
sudo apt install libgtsam-dev libgtsam-unstable-dev
# Add PPA
sudo add-apt-repository ppa:borglab/gtsam-release-4.0
sudo apt update # not necessary since Bionic
# Install:
sudo apt install libgtsam-dev libgtsam-unstable-dev
Note: Installing GTSAM on Arch Linux is not tested by the GTSAM developers.
GTSAM is available in the Arch User Repository
(AUR) as
gtsam
.
Note you can manually install the package by following the instructions on the
Arch Wiki
or use an AUR helper like
yay
(recommended for ease of install).
It is also recommended to use the arch4edu repository. They are hosting many packages related to education and research, including robotics such as ROS. Adding a repository allows for you to install binaries of packages, instead of compiling them from source. This will greatly speed up your installation time. Visit here to add and use arch4edu.
yay -S gtsam
or
yay -S gtsam-mkl
To discuss any issues related to this package refer to the comments section on
the AUR page of gtsam
here.
Note: Installing GTSAM via conda-forge is not tested by the GTSAM developers.
GTSAM is available on conda-forge via the
gtsam
package on Linux, MacOS and Windows platforms.
If you already have a working installation of conda/mamba/micromamba, installation is as easy as
conda install gtsam -c conda-forge # if you use conda
mamba install gtsam -c conda-forge # if you use mamba
micromamba install gtsam -c conda-forge # if you use micromamba, recommended
If you do not yet have a working installation of conda/mamba/micromamba, we recommend installing micromamba which is as easy as (this works on any platform in your favourite shell):
"${SHELL}" <(curl -L micro.mamba.pm/install.sh)
For more information about micromamba, please visit their website.