Getting Started » Installation Guide

ROS Dependency

Our codebase is built on top of the Robot Operating System (ROS) and has been tested building on Ubuntu 16.04 systems with ROS Kinetic Kame. We also recommend installing the catkin_tools build for easy ROS building. Please see the official instructions here, which have also been copied below.

sudo sh -c 'echo "deb $(lsb_release -sc) main" > /etc/apt/sources.list.d/ros-latest.list'
sudo apt-key adv --keyserver 'hkp://' --recv-key C1CF6E31E6BADE8868B172B4F42ED6FBAB17C654
sudo apt-get update
sudo apt-get install ros-kinetic-desktop-full
sudo apt-get install python-catkin-tools
echo "source /opt/ros/kinetic/setup.bash" >> ~/.bashrc
source ~/.bashrc

OpenCV Dependency

We leverage OpenCV 3.4.6 for this project and recommend you compile it from source. You can try linking to the one included with ROS but we have always had success with building from source to ensure we have all contributed OpenCV libraries. One should make sure you can see some of the "contrib" (e.g. xfeature2d) to ensure you have linked to the contrib modules.

git clone --branch 3.4.6
git clone --branch 3.4.6
mkdir opencv/build/
cd opencv/build/
cmake -DOPENCV_EXTRA_MODULES_PATH=../../opencv_contrib/modules ..
make -j8
sudo make install

Cloning the OpenVINS Project

Now that we have ROS and OpenCV install we can setup a catkin workspace and build the project! If you did not install the catkin_tools build system, you should be able to build using the standard catkin_make command that is included with ROS. If you run into any problems please google search the issue first and if you are unable to find a solution please open an issue on our github page. After the build is successful please following the Simple Tutorial guide on getting a dataset and running the system.

mkdir -p ~/workspace/catkin_ws_ov/src/
cd ~/workspace/catkin_ws_ov/src/
git clone
cd ..
catkin build

Additional Evaluation Requirements

If you want to use the plotting utility wrapper of matplotlib-cpp to generate plots directly from running the cpp code in ov_eval you will need to make sure you have a valid Python 2.7 install of matplotlib. On ubuntu 16.04 you can do the following command which should take care of everything you need. If you can't link properly, make sure you can call it from Python normally (i.e. that your Python environment is not broken). You can disable this visualization if it is broken for you by passing the -DDISABLE_MATPLOTLIB=ON parameter to your catkin build. Additionally if you wish to record CPU and memory usage of the node, you will need to install the psutil library.

sudo apt-get install python-matplotlib python-numpy python2.7-dev python-psutil
catkin build -DDISABLE_MATPLOTLIB=OFF # build with viz (default)
catkin build -DDISABLE_MATPLOTLIB=ON # build without viz