libdatachannel VS aiortc

You can use https://github.com/paullouisageneau/libdatachannel for your C/C++ integration needs. It's 10k lines. So the answer is 0. Its required dependencies (I assume this as they are git submodules in deps) are more than 100k lines, though, srtp support making the bulk of it. On my machine it took 11 seconds to compile it.

Irssi is 64k lines (plus its dependencies), so I guess that makes WebRTC complicated.

Can't argue that DCC isn't simple, but perhaps the protocol deviced decades ago is a bit too simple.

Most of the work happened in the libdatachannel! You can check out my PR here[0]

[0] https://github.com/paullouisageneau/libdatachannel/commit/a6...

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)

Use any means necessary to transfer your data across devices. Could be IPFS, could be FTP, could be EventSource, WebSocket, WebTransport, Fetch, whatever. See https://github.com/guest271314/secure-file-transfer; offscreen-webrtc, https://github.com/paullouisageneau/libdatachannel.

I've successfully used libdatachannel to Web pages to connect native applications and stream data to the browser.

Alternatively you can use your server as a signaling server for WebRTC (Insertable Streams ("Breakout Box"), or data channels https://github.com/paullouisageneau/libdatachannel), then users (peers) can exchange data themselves and you don't need to store anything, see True End-to-End Encryption with WebRTC Insertable Streams, A complete example for a WebRTC datachannel with manual signaling.

there is also a c++ library that can be used to open a data channel connection, I think a number of SFU “servers?” use this library (I wish I had) https://libdatachannel.org/

For networking and terminating WebRTC connections from cpp libdatachannel is you easiest bet. For transcoding you can pick whatever library you like, if any. The other way would be to use the chrome WebRTC stack and modify it for server use. It can and has been done but is very involved.

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 :)

-----

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.

I am using this python library: aiortc/aiortc while primarily using this example.