Re:Transformers.js: State-of-the-art Machine Learning for th...
by yeldarb on Thursday April 11, 2024 @09:40AM
(#40002033)
Not using transformers, but we do object detection in the browser with small quantized yolo models that are about 7mb and run at 30+ fps on modern laptops via tensorflow.js and onnxruntime-web.
Lots of cool demos and real world applications you can build with it. Eg we powered an AR card ID feature for Magic: The Gathering, built a scavenger hunt for SXSW, a test proctoring assistant (to warn you if you’re likely to get DQ’d for eg wearing headphones), and a pill counter for pharmacists. Really powerful for distribution to not make users install an app or need anything other than their smartphone.
Lots of cool demos and real world applications you can build with it. Eg we powered an AR card ID feature for Magic: The Gathering, built a scavenger hunt for SXSW, a test proctoring assistant (to warn you if you’re likely to get DQ’d for eg wearing headphones), and a pill counter for pharmacists. Really powerful for distribution to not make users install an app or need anything other than their smartphone.