Visual Odometry, proposed solution

This is our proposed solution for the lab "Visual Odometry" in the computer vision course TEK5030 at the University of Oslo.

Please see the lab guide for more information.

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Prerequisites

As in lab-stereo, you will need to install the tek5030 camera-library for the lab. Head over to the repository and follow the installation instructions.
Note: The camera-library is preinstalled on the lab computers and in the tek5030/devcontainer Docker image.

For this lab, we can unfortunately not rely on conan to install all required OpenCV modules (namely the viz module for 3D visualization). You have a few other options:

• Solve the python lab (recommended)
• Use the lab computers
• Install OpenCV using homebrew (option for mac and linux). (See also Getting started on MacOS.)
• Try Docker toolchain in CLion (fairly experimental)
• Try devcontainer in VS Code (fairly experimental)
• Rely on virtualbox and our prepared linux image with dependencies preinstalled (see Canvas: Setting up your computer for the labs)