Over the last couple of years I’ve pointed out a number of cool projects (e.g. driving image search via your body movements) powered by my teammates’ efforts to 1) deliver great machine learning models, and 2) enable Web browsers to run them efficiently. Now they’ve released BodyPix 2.0 (see live demo):
We are excited to announce the release of BodyPix, an open-source machine learning model which allows for person and body-part segmentation in the browser with TensorFlow.js. With default settings, it estimates and renders person and body-part segmentation at 25 fps on a 2018 15-inch MacBook Pro, and 21 fps on an iPhone X.
Enjoy!
BodyPix 2.0 has been released, including multi-person segmentation support and a new live demo!
To learn more, read the post by @tylerzhu3, @oveddan, @greenbeandou, @dsmilkov, @karlssonper, @ire_alva, @nsthorat.
Details here → https://t.co/Zq8dwiNO5A pic.twitter.com/a4qKJu9EJ1
— TensorFlow (@TensorFlow) November 18, 2019