I'm excited to show case an update to a personal project of mine. Its called ffmpeg-over-ip and it allows you connect to remote ffmpeg servers, so if you have one machine with a GPU (could be your windows gaming laptop, gaming PC, a macbook?) and a machine (or VM, docker container etc) without a GPU, you could use the remote GPU to do GPU-accelerated video conversion.
The way it works is pretty neat, there are two components, a server and a client.
- The server (has the GPU) comes with a patched up ffmpeg and listens on a specified port - The client (without the GPU) connects to the server, takes the file IO requests from the server and runs them locally.
ffmpeg doesn't know that its not dealing with a local filesystem, so this approach works with multiple inputs or outputs like HLS, and is perfect for home media servers like Plex or Jellyfin or Emby.
One server can offer up its GPU to as many clients as needed, all clients offer up their own filesystems for their requests, the server also comes with a static build of ffmpeg bundled (built from jellyfin-ffmpeg scripts) so all you have to do is create a config file, set a password and you're good to go!
It's been about a year and half since this was last submitted (https://news.ycombinator.com/item?id=41743780). The feedback at the time was around the difficulty of sharing a filesystem between the machines so that should no longer be a problem.
This has been really useful in my local setup, I hope you find it useful. If you have any further questions, the website has some FAQs (linked in github repo), or you could post them here and I'll answer them for you!
Thanks!
I built this macOS app that allows you to use any off the shelf wifi camera as your webcam with Zoom, Microsoft Teams, etc. It has lower latency than OBS, VLC etc based on my testing, its Swift-Native and pretty lightweight.
It was built mainly for my own team so they don't have to run long wires of USB cameras or pay a lot of money for a "wireless webcam". I hope you find it useful!
Was really impressed by your work on Pundle. (It was an amazingly fast HMR dev environment - much like Vite today.) Felt like I was the only one using it, but it was hard to walk away from instant updates.
- https://github.com/steelbrain/ffmpeg-over-ip/blob/main/fio/f... - https://github.com/steelbrain/ffmpeg-over-ip/tree/main/patch...
I am not sure they'll be accepted for upstreaming, but in exploring the options, I noticed ffmpeg has sftp:// transport support and there were some bugs surrounding that. I do intend to publish some patches for those.
ffmpeg-server runs a patched version of ffmpeg locally, ffmpeg requests to read some chunks (ie give me video.mp4) through our patched filesystem (https://github.com/steelbrain/ffmpeg-over-ip/blob/main/fio/f...), which gets sent over the same socket that the client established, client receives the request, does the file operations locally and sends the results back over the socket to the server, and server then sends them to ffmpeg.
ffmpeg has no idea its not interacting with a local file system
Maybe my use cases for ffmpeg are quite narrow, but I always get a speedup from moving the files off my external hard-drive, suggesting that is my current bottleneck.
The hope is that you stream over LAN not the interwebs!
> I always get a speedup from moving the files off my external hard-drive
Based on your description, it does seem like your ffmpeg may be IO limited
FFmpeg is mountains of extremely complex C code whose entire job is processing untrusted inputs.
Choosing to make such code network-enabled if you can't trust your inputs, I would recommend to sandbox if at all possible. Otherwise you are asking for trouble.
The usecase for something like this is when you control both sides, server & client. There is some basic HMAC auth built into each request.
> I would recommend to sandbox if at all possible.
Since the server is a standard binary that doesn't need any special permissions, you could create the most locked down user in your server that only has access to a limit set of files and the GPUs and it'll work just fine. This is encouraged.
Had you thought about using FUSE on the server side, rather than patching ffmpeg? Like a reverse sshfs? That avoids patching the ffmpeg binary, which allows usage of wierd and wonderful ffmpeg binaries with other people's patches.
I'd be interested in seeing how well it works with SBC GPUs - many have hardware decoding and encoding, and their vendors love to fork ffmpeg.
That was the one motivation, the other one was that it would require rewriting arguments going into the server. What you're describing was essentially what ffmpeg-over-ip v4 (and its earlier versions!) was, and the constant feedback I'd heard was that sharing filesystems is too much work, ssh servers on windows and macOS are a bad experience, people want to use a bundled solution.
Forking ffmpeg was no easy task! Took forever to figure out the build process, eventually caved in and started using jellyfin build scripts, but that has the downside of being a few versions behind of upstream HEAD.
I was thinking of the server end of an ffmpeg-over-ip system bringing up a FUSE filesystem backed by something similar to your VFS-served-by-the-client. Combine that either with argument rewriting, or chrooting into the FUSE filesystem.
As another commenter said, where's plan 9 when you need it? If you go the FUSE route there are existing 9P implementations for both server and FUSE client you can use.
You can mix and match operating systems, macOS, Windows, Linux, you do not need sudo privileges.
rffmpeg needs a shared file system which could be a huge pain to setup: https://github.com/joshuaboniface/rffmpeg/blob/master/docs/S...
ffmpeg-over-ip patches ffmpeg and only needs one port open for the server, then you just run the binary, no mounts needed at all.
Dammit I really wish Plan9 had taken off. It isn’t perfect but it does a much, much better job of helping me run my applications in ways that I want.
If anyone doesn’t already know, one method of Plan9 remote access is to “cpu” into a remote machine which has the hardware you need. Your local filesystems go with you, and your environment on the remote machine consists of your local filesystems mounted to the remote machine, but only for you, and all applications you run in this context execute on the cpu of the remote machine and have access to the remote machines hardware, but your local filesystems. Imagine SSHing into a remote machine and your entire environment goes with you, development tools and all. That’s what Plan9 does for you.
So if I “cpu” into a machine without ffmpeg, but with a GPU and I run ffmpeg, not only will it work, but I can tell ffmpeg to use a hardware encoder with a simple command line flag, and it’ll work.
For linux, I am thinking of adding convenience helpers around systemd service installation
[1] https://docs.joinpeertube.org/maintain/tools#peertube-runner
My usecase is just-in-time media transcoding, I'll see if PeerTube remote runners support it