Author(s): Stephen Thompson. Contributor(s): Miguel Xochicale, Mian Asbat Ahmad and Matt Clarkson.
This is the SciKit-Surgery Augmented Reality Tutorial. It will teach you how to write an augmented reality application, showing a rendered model on top of a live video feed.
The SciKit-Surgery Augmented Reality Tutorial is part of the SciKit-Surgery software project, developed at the Wellcome EPSRC Centre for Interventional and Surgical Sciences, part of University College London (UCL). SciKit-Surgery is a suite of Python modules developed to accelerate the translation of basic science into clinical applications.
The SciKit-Surgery Augmented Reality Tutorial has been tested with Python 2.7 and Python 3.6 and Python 3.7.
This tutorial guides the user in producing a simple augmented reality application using some of the SciKit-Surgery libraries. The tutorial is intended to show how SciKit-Surgery can be used to quickly develop applications that include;
- data acquisition,
- data processing,
- data display,
- how SciKit-Surgery enables the use of 3rd party Python libraries.
To remain accessible to novice programmers the tutorial tries to avoid issues such as parsing command line arguments, event loops and GUI design.
You can clone the repository using the following command:
git clone https://github.com/SciKit-Surgery/SciKit-SurgeryTutorial01
Please see the contributing guidelines.
Copyright 2019 University College London. The SciKit-Surgery Augmented Reality Tutorial is released under the BSD-3 license. Please see the license file for details.