ppp_thing
distributed-transcode | ppp_thing | |
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2 | 3 | |
- | 7 | |
- | - | |
- | 0.0 | |
- | over 1 year ago | |
C | ||
- | BSD 3-clause "New" or "Revised" License |
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distributed-transcode
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Guide to Adopting AV1 Encoding
Back when I still cared about saving disk space, I made a cluster of NVidia Jetson Nanos running in a docker swarm configuration [1], but honestly even when you have six computers working at once, H264 on a single computer is still often faster.
On the Jetson Nanos I was lucky to get maybe 1fps in ffmpeg using VP9. Multiply that by six boards and that's about 6fps in total; ffmpeg running x264 in software mode was getting around 11fps on a single board, not even counting using the onboard encoder chip, meaning that I was getting better performance from one board using x264 than all six using VP9.
Now obviously this is a single anecdote on specific hardware, so I'm not saying that this applies to every single case, but it's a big reason why I personally have not used VP9 for anything substantial yet.
[1] https://gitlab.com/tombert/distributed-transcode
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Ask HN: Have you created programs for only your personal use?
I have a fairly large blu-ray collection (~300 movies, ~15 complete TV series). I rip them and serve them with Jellyfin, which works, but due to codec annoyances, I need to transcode them to run on web browsers, and the SBC I'm running Jellyfin + ZFS on is not really fast enough to transcode in real time.
Since I have a ton of little SBCs sitting around my house, I decided to write a clojure app the queues up and transcodes my movies to H264. It uses Docker Swarm to handle distribution of nodes, RabbitMQ to queue up the movies, and core.async to handle local queuing within the application, and uses the Java NIO filesystem stuff to handle any kind of atomicity.
It's hardly the "first" or the "best" at what it does, but the advantage of writing your own is of course that you can tailor it exactly to your setup, and of course it was fun to write.
https://gitlab.com/tombert/distributed-transcode
ppp_thing
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Ask HN: Have you created programs for only your personal use?
I wrote a PPPoE client with failover so I can keep the session even when one of my gateways fails or is rebooted (this lets me do regular maintenance without interrupting my internet connection); I put it on github[1], but I doubt anyone will use it. I hope there are few people left with the scourge that is PPPoE, and my OS choice means many people would need to switch OSes to use it, so yeah. Also, I don't care to make it easy to use or to promote it, really. (I've mentioned it once or twice and did a Show HN that got less than ten votes, which I kind of expected).
I've also got my personal (network) monitoring software, some 'IoT' stuff to capture temperature and humidity data around my house, and I'm working on a ESP32 based alarm clock pulling data from iCalendar.
[1] https://github.com/russor/ppp_thing
- Show HN: PPPoE client with session handoff between redundant FreeBSD routers
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What is your “I don't care if this succeeds” project?
I just published https://github.com/russor/ppp_thing which lets me (and maybe you) failover my PPPoE session between two FreeBSD hosts, so I can do regular maintenance without losing my IP or impacting TCP sessions.
I used to let my DSL modem handle PPPoE and NAT, so failover was easy, but found out fragmented IPv6 crashed the leased modem, and the replacement modem also sucks, so bridge mode + a custom PPPoE client (but from netgraph pieces) it is. Sadly useful in 2021, because PPPoE is somehow still a thing.
What are some alternatives?
m4b-tool - m4b-tool is a command line utility to merge, split and chapterize audiobook files such as mp3, ogg, flac, m4a or m4b
polybar-clockify - Control Clockify through Polybar
nitter - Alternative Twitter front-end
vopono - Run applications through VPN tunnels with temporary network namespaces
meal-scheduler
fastmod - A fast partial replacement for the codemod tool
place
cmdg - Command line Gmail client
fingine - A personal finance simulation engine in Rust.
rslurp - slurp down a whole HTTP directory, with parallel goodness
scraper - Nodejs web scraper. Contains a command line, docker container, terraform module and ansible roles for distributed cloud scraping. Supported databases: SQLite, MySQL, PostgreSQL. Supported headless clients: Puppeteer, Playwright, Cheerio, JSdom.