Neko VS aiortc

Well here's a similar project you can look at: https://github.com/nurdism/neko

Not sure how well it would work but there’s a thing called n.eko I’ve used in the past. It’s a docker container that hosts a web browser as a website that multiple people can go to and all watch the same screen. It has adjustable resolution too so you can pick whatever works for your bandwidth. While the original version does only support a web browser you can tweak the docker config to dump you to a Linux desktop instead where you could play it in your preferred watching software. One downside to this method is it needs 2 ports forwarded for every user in addition to the ports for the site itself. here’s the link

The best implementation I have seen of this is neko. The responsiveness is good enough for real-time IMO.

github Reddit post

Share browser with friends, watch movie, Shop or do whatever together

I saw also docker image for setting up a browser that will do a sharescreen but I never tested it yet (https://www.watchparty.me/) or (https://github.com/nurdism/neko).

Another way I have been doing it is using neko it is a web browser that outputs to RTMP. You could run this on a server and then join the conference call. It would load the page and get the usual conference experience. You could then send that to a RTMP server.

You could try n.eko.

I am really excited about https://github.com/sepfy/libpeer. It has examples ready for ESP32 etc....

When working on KVS I wasn't familiar with the embedded space at all. I saw 'heavyweight' embedded where you were running on Linux. Then you had RTOS/No OS at all. I wasn't prepared for these devices at all. If we can make WebRTC work in the embedded space I think it will really accelerate what developers are able to build!

Remotely driven cars, security cameras, robots in hospitals that bring iPads to infectious patients etc... Creative people are building amazing things. The WebRTC/video space needs to work harder and support them :)

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I love how diverse the WebRTC space is now. Outside of this implementation you have plenty of other options!

* https://github.com/shinyoshiaki/werift-webrtc (Typescript)

* https://github.com/pion/webrtc (Golang)

* https://github.com/webrtc-rs/webrtc (Rust)

* https://github.com/algesten/str0m (Rust)

* hhttps://github.com/sepfy/libpeer (C/Embedded)

* https://webrtc.googlesource.com/src/ (C++)

* https://github.com/sipsorcery-org/sipsorcery (C#)

* https://github.com/paullouisageneau/libdatachannel (C++)

* https://github.com/elixir-webrtc (Elixir)

* https://github.com/aiortc/aiortc (Python)

* GStreamer’s webrtcbin (C)

See https://github.com/sipsorcery/webrtc-echoes for examples of some running against each other.

This is not true, there are actually multiple WebRTC implementations in different languages besides the reference library: aiortc (python), libdatachannel (C++), sipsorcery (C#),webrtc-rs (rust), werift (Typescript), and Amazon Kinesis (C)

Not sure flask would work but I think https://github.com/aiortc/aiortc has an example just like what you are trying.

Context: I was making a snapchat-like filter application on webcam footage. In order to create those overlays, i used some python's opencv and dlib to locate the face and apply the overlay. As far as i know, websockets are not good for video transfer since sockets are slower so someone suggested me to use "WebRTC". So I decided to settle on this https://github.com/aiortc/aiortc python based webrtc to use my python code at the backend and use a JS front end to send the video and received the filtered image

So it seems like https://github.com/aiortc/aiortc is the obvious answer here, but I just can't seem to grok the documentation. I have run the examples successfully, but can't quite seem to tailor them to my use-case.

I'm not sure how you weren't able to find this: aiortc

You can't use Django for that, RTC is a separate protocol from HTTP. Check out https://github.com/aiortc/aiortc for a Python-based RTC stack. You write code in there which does the data processing and calls HTTP APIs or something on the Django side.