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pose estimation in the browser, ported by @itp_nyu student @oveddan
demo: https://control.kylemcdonald.net/posenet/
article: https://medium.com/tensorflow/real-time-human-pose-estimation-in-the-browser-with-tensorflow-js-7dd0bc881cd5 …pic.twitter.com/ihfFcHa7FG
8fps on my 2014 mac. seems like it's only a few lines of code away from running on ios, might already run on android? i'd guess 2-3fps. more models in the browser means, potentially, less data being sent to centralized servers.. neat to see google encouraging this.
awesome! was hoping someone was working on this. thanks @oveddan
I was just working on a really dumb openpose ->OSC->websockets->p5js connection and thinking “I’m sure someone’out there is just porting this to tensorflow.js”
Good work! But our Pozus work 20 fps on iPhone SE and it seems that it works with better precision. If someone is interested in Pozus please request demo at http://pozus.io
Dope. No need for Kinect?
Oklart vad detta innebär men kanske coolt för oss? @danne @Wizkerzack
Det där bara måste vara bra för oss 
it's time for online motion capture from youtube !
Why did you leave your cursor there?! 
Awesome demo though! Works pretty well.
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