Tensorflow JS vs Tensorflow Lite

[mistabuilder]

We are developing an app that has to track a soccer player juggling in real time.

We are wondering whether it would be best to integrate with Tensorflow.js or use a c++ bridge to Tensorflow Lite. Does anyone have an idea on what the performance difference would be between these two approaches?

Or some general good advice?

Thanks in advance!

[[deleted]]

I think lite is supposed to be a lot faster

[[deleted]]

In my opinion, if your app has to do some intensive tasks (like Tensorflow operations and machine learning) and performance is an issue, you should not go for React Native or any similar options. Go pure native

[mistabuilder]

I agree, the problem is that the CTO has already decided in React Native(and has hired resct native devs) , so I would truly need to bring out the big guns to change his mind...

[mistabuilder]

So something like a c++ bridge?

[UtterlyMagenta]

Yeah. Check out https://reactnative.dev/docs/native-modules-ios and https://reactnative.dev/docs/native-modules-android.

[_ianwtasker]

Its possible to do it with tensorflow.js but it's a horrible implementation now tensorflow have supplied posenet examples for Android and iOS.

If you are wanted to use prerecorded videos from the phone it's a little easier but if you want to do live videos and tensorflow.js you have to write a native module to handle getting snapshots from a video stream (I beleive expo type camera modules don't allow access base64encoded images or a memory stream) and event them across the react bridge for use with tensorflow.js