Project Description
To experiment and possibly implement a filter for OBS studio, with a focus on doing frame interpolation, while lowering the output's target FPS.
The idea is to capture videogames at a high frame rate (say, 240FPS), interpolate these frames together in batches of 4, then output these interpolated frames as a 60FPS stream.
The interest here is to learn more about frame interpolating techniques, inside a context that's actually useful.
Goal for this Hackweek
Ideally, we'd implement a very simple filter that turns all video to greyscale. Frame interpolation could then be implemented as a consequence of this filter's development. Basically, we need to familiarise ourselves with OBS Studio development.
If the actual implementation can't be done during HackWeek, at least we'll learn more about OBS Studio development.
Looking for hackers with the skills:
This project is part of:
Hack Week 23
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Update my own python audio and video time-lapse and motion capture apps and publish by dmair
Project Description
Many years ago, in my own time, I wrote a Qt python application to periodically capture frames from a V4L2 video device (e.g. a webcam) and used it to create daily weather timelapse videos from windows at my home. I have maintained it at home in my own time and this year have added motion detection making it a functional video security tool but with no guarantees. I also wrote a linux audio monitoring app in python using Qt in my own time that captures live signal strength along with 24 hour history of audio signal level/range and audio spectrum. I recently added background noise filtering to the app. In due course I aim to include voice detection, currently I'm assuming via Google's public audio interface. Neither of these is a professional home security app but between them they permit a user to freely monitor video and audio data from a home in a manageable way. Both projects are on github but out-of-date with personal work, I would like to organize and update the github versions of these projects.
Goal for this Hackweek
It would probably help to migrate all the v4l2py module based video code to linuxpy.video based code and that looks like a re-write of large areas of the video code. It would also be good to remove a lot of python lint that is several years old to improve the projects with the main goal being to push the recent changes with better organized code to github. If there is enough time I'd like to take the in-line Qt QSettings persistent state code used per-app and write a python class that encapsulates the Qt QSettings class in a value_of(name)/name=value manner for shared use in projects so that persistent state can be accessed read or write anywhere within the apps using a simple interface.
Resources
I'm not specifically looking for help but welcome other input.