A celebration of old computer technology... and more

Home Feed Project List About Contact Links

Teletext Recovery CUDA Processing Guide

This page will serve as a guide to explain how to improve your Teletext processing abilities by using NVIDIA CUDA.

You must have a compatible NVIDIA graphics card in your Teletext processing system for this to work.


By the end of this guide, you should be in a position to process your Teletext data ("deconvolve") by utilising the power of your graphics card. This will greatly speed up the process, sometimes up to 10x, meaning more time to process more teletext!

If you haven't already, make sure you have set your system up for capturing Teletext data. This guide will start where that guide left off.

Configuration Process

We will get straight in. I am assuming you have installed your CUDA enabled NVIDIA graphics card into your system, you are getting video output in Linux from it and you have the terminal open and ready.

WARNING: Getting this setup is a royal pain in the butt. Once it is set, I suggest not adjusting your graphics drivers any further. This is why I recommend having a seperate hard disk/SSD used for performing Teletext capture/recovery.
SECOND WARNING: This guide works as of May 2023. Things do often change, I will do my best to keep this as up to date as possible.
THIRD WARNING: This guide is written with the intention you are running Ubuntu 22.04 - it may or may not be the same for other distro's/versions..

What Next?

That's it for now, I'll likely start a guide shortly about tips and tricks for "cleaning" up the captures.

Further Reading

If you are a bit lost with all of this, maybe these links may help