From 3908b5da8063d5c0cbcfa53148a886737c92b740 Mon Sep 17 00:00:00 2001 From: Steve Seguin Date: Thu, 1 Aug 2024 05:51:46 -0400 Subject: [PATCH] Update README.md --- README.md | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/README.md b/README.md index b68b218..b80350b 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,14 @@ + + +# Raspberry Ninja - not just for Raspberry Pis! +Turn your Raspberry Pi, Nvidia Jetson, Orange Pi, Windows PC, Mac, Linux box, or nearly any Python-compatible system into a ninja-cam with hardware-acceleration enabled! This lets you publish live streaming video and audio directly to your web browser or OBS instance using VDO.Ninja. Achieve very low streaming latency over the Internet or a LAN; all for free. + + + +It also has the ability to record remote VDO.Ninja streams to disk (no transcode step), it can broadcast a low-latency video stream to multiple viewers (with a built-in SFU) at time, and because it works with VDO.Ninja, you get access to its ecosystem and related features. + +AV1 support is now available, however you will need a powerful system or one with an AV1 hardware encoder to make use of it. WHIP-output support has also been added. + **Table of Contents** @@ -34,17 +45,6 @@ -# Raspberry Ninja - not just for Raspberry Pis! -Turn your Raspberry Pi, Nvidia Jetson, Orange Pi, Windows PC, Mac, Linux box, or nearly any Python-compatible system into a ninja-cam with hardware-acceleration enabled! This lets you publish live streaming video and audio directly to your web browser or OBS instance using VDO.Ninja. Achieve very low streaming latency over the Internet or a LAN; all for free. - - - -It also has the ability to record remote VDO.Ninja streams to disk (no transcode step), it can broadcast a low-latency video stream to multiple viewers (with a built-in SFU) at time, and because it works with VDO.Ninja, you get access to its ecosystem and related features. - - - -AV1 support is now available, however you will need a powerful system or one with an AV1 hardware encoder to make use of it. WHIP-output support has also been added. - ## Preface The core concepts and code used in this project can be reused for other projects; most Linux systems, and a large variety of embedded systems; potentially even smartphones. There's a focus of supporting Raspberry Pis and Nvidia Jetson systems, which includes offering pre-built images and install scripts. Other Linux system users should still be able to use the code, but setup support will be limited.