The tracker holds a collections of already connected clients and instructs the WebTorrent script to start sharing the stream among each other. Once a client connects it makes itself known to the tracker.

Using HLS, the stream is pulled from Wowza and served to visitors of my website viewing the Clappr stream. No transcoding is done, the full 2K (1440p) is fed to all the streams. The stress on the server is very minimal. There it is split up in several different sub streams (HLS/RTSP/RTMP) and pushed to Youtube. So the RTSP stream is pulled of the IP Camera with Wowza from a remote location to my server. So i’ve ended up with the following scenario. RTSP source for Machine Learning Python apps.To get to this point I’ve tried several different approaches but along the way i realized that it had to apply to three criteria.

Over in console http and p2p traffic is displayed. You can check it out by ‘inspecting’ the player element.

Which means that traffic is shared between simultaneous viewers of this stream. This (P2P) technique is very usefull and efficient in offloading my bandwidth.

Ffmpeg rtsp to hls