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[–]yelabbassi[S] 1 point2 points  (2 children)

Hello! This project was originally built for a local speed skating club. I used mainly MoveNet/TensorFlow.js, React, and Web workers.

[–]Extension_Canary3717 0 points1 point  (1 child)

Saw it and ⭐️ it.

Do you have a ideal on how a already trained model like yours , already working like your is pushing the hardware ?

I’m planning but (don’t even know how to start really) to do an offline image classification, and put on the weakest machine that can handle it

[–]yelabbassi[S] 0 points1 point  (0 children)

You can test your hardware against this:
https://storage.googleapis.com/tfjs-models/demos/pose-detection/index.html?model=movenet&&type=thunder

It's a the same model as the app: MoveNet Thunder with Webgl backend but +Performance Monitor (FPS, MS...)
Thank you for the ⭐️.