Sadly bodypic is very slow. You're only achieving 8-15fps, so any motion is very sluggish. Additionally the detection is on many cases very inaccurate: Too much or too less is detected belonging to the body so you can really only use a blur filter because a virtual background looks very strange if parts of your shoulders/hair or half an ear is missing etc.

But i am really impressed by the detection of Microsoft Teams, i would love having this quality and speed available in a browser.

Thanks for the share @knotty66. Curious if you can discuss the technicals of this a bit? In the case of Jitsi-meet mobile apps, it seems advantageous that BodyPix models are mobile-first, but did that make sense for the desktop version as well?

I've always been disappointed that BodyPix and some similar models are mobile-first and mobile-only on TensorFlow (https://blog.tensorflow.org/2019/11/updated-bodypix-2.html) -- are these models just not used much on server-side settings? There seems to be very little documentation on doing this server side.

Where is the virtual background option in Jitsi? I couldn't find it.

Thanks for sharing -- With very similar settings too! (Not far from the defaults unsurprisingly).

Injecting this into a web client seems like the sweet spot effort wise.

thank you for the link! Do you know if browser extensions can access the webcam too?