webrtc-echoes VS FFmpeg

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.

Lots of other WebRTC implementation exist (in many languages). Happy to help if you have any questions

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

Lots of great WebRTC implementations exist. Do you want to stick with node.js?

I am a big fan of https://github.com/shinyoshiaki/werift-webrtc it is pure Typescript.

Check out https://github.com/sipsorcery/webrtc-echoes for all the other implementations.

WebRTC has so many great implementations now! The author of the C# implementation started a really great project webrtc-echoes[0] that shows them all working together.

The next big challenge in the space seems to be getting widely available congestion control. The hard part is making sure it is understandable and customizable for everyones use cases.

[0] https://github.com/sipsorcery/webrtc-echoes

GPL2

Since FFmpeg is GPL2, doesn’t that require CompressX to disclose its source code?

IANAL, apologies if I miss understand license requirements.

https://github.com/FFmpeg/FFmpeg?tab=License-1-ov-file

This turns out to be a lot of assembly macros to help write one x86 assembly. https://github.com/FFmpeg/FFmpeg/blob/master/libavutil/x86/x...

The sibling comment recommending compiler intrinsics is probably the best way to go for writing SIMD code. A mixture of `` style types and intrinsics to specify instructions is a solid 90% solution compared to assembly.

If you want that last 10%, I think macros are putting the emphasis in the wrong place. They're a somewhat easy way to build up a language abstraction which will work if held carefully, but I'm confident the dev experience using this abstraction when you write invalid code will be deeply confusing.

I would suggest to write a parser instead of the macros. That'll tell you clearly when the syntax is invalid (though possibly not with much precision) and it'll give you a place to put semantic analysis for where valid syntax encodes nonsense. Do the equivalent of the macro expansions on the parsed tree instead of on the text. Emit asm as the "back end".

You might have heard of FFMPEG or ImageMagick for image and video edition in a programmatic way. MoviePy is a Python module for video editing (Python wrapper for FFMPEG and ImageMagick). It provides functions for cutting, concatenations, title insertions, video compositing, video processing, and the creation of custom effects. It can read and write common video and audio formats and be run on any platform with Python 2.7 or 3+.

There are many cloud-based tools and websites that can convert your images, but the problem with these tools is that you usually have to upload the files for them to be processed, and some of their services are not free. In this article, I'd like to introduce a piece of software called FFmpeg, which allows you convert the images locally with one simple command.

To run the demo locally, be sure to have Python 3.11 and FFmpeg installed.

To get started, we’ll need to install FFmpeg, the all-in-one tool for working with audio and video. We’ll use it to record audio and Whisper AI will use it to create a transcription.

Recently I needed to build something with Python and FFmpeg. And while FFmpeg is amazingly powerful, it can also be incredibly complicated.

8/Once done it will have frames and a gif (if you are getting a ffmpeg error it will just not make the GIF - you will need to install https://ffmpeg.org/ and look on youtube for how to add it to PATH). Please note the GIF is signficantly worse quality than the original frames so have a look at them.

https://ffmpeg.org/ - FOSS, Command line. Will convert anything you have to anything you want.