Using traditional hardware development tools, apply a Non-uniform Choppy Transformation to a block of ligneous substance. The end result should be a 3D rendering of the Geeko glyph.

OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. The goal is to get familiar with OpenCV API and with the available algorithms. Specifically, I want to look into these particular tasks:

The webVTT standard (nearly the same as the older SRT subtitles) allows to add subtitles to a video. We could use this in openQA to show which keys were pressed at that point in the video, in which line of code we were or on what event we waited. This could make debugging easier and might be instructive to users, too.

There is a running gag built into openQA called interactive mode. It goes like this: "if you need the interactive mode, it's broken". The reason: the so called interactive mode is a collection of hacks - in theory making it possible to update needles in a running test. But in fact it's a UI desaster that almost never works. So the goal of this hackweek project is to get rid of it - and instead build a real control from the webui into the backend allowing tests to be written on the fly including needle creation/updates. Easy as that.

There is a running gag built into openQA called interactive mode. It goes like this: "if you need the interactive mode, it's broken". The reason: the so called interactive mode is a collection of hacks - in theory making it possible to update needles in a running test. But in fact it's a UI desaster that almost never works. So the goal of this hackweek project is to get rid of it - and instead build a real control from the webui into the backend allowing tests to be written on the fly including needle creation/updates. Easy as that.

With all those analyzers for C code we get so much information about our C code. Yet our shell code regularly nukes systems.

• learn how to write Dracut modules
• investigate running Salt in Dracut initrd

Problem statement

Right now, we have different resources to pool videos. The goal of is to consolidate all video resources into a central place to make them easily searchable, and enable a youtube like experience, rather than a simple file list.

Primarily to support Hackweek, but also to gain experience for a potential future corporate use, I like to run the open source Jitsi in a SUSE context and within a setup that is close to what SUSE IT is doing. The service will be built in AWS/EKS within the SUSE E&I space and should be up and running on day 1, but will need love during the 5 Hackweek days to