tfjs-node does not implement kernel FlipLeftRight

Both BlazeFace and HandDetector models work just fine in NodeJS using tensorflow backend

The issue is in how post-processing is done in JS code which uses FlipLeftRight kernel func to reorient input for better second-pass detection.

So if you use tfjs examples, you’ll run into this issue

Error: Kernel ‘FlipLeftRight’ not registered for backend ‘tensorflow’

Unfortunately, those models are internally used by several others as well such as FaceMesh and HandSkeleton which makes list of affected models quite long.

Request is to implement FlipLeftRight in tfjs-node - expectation is to have feature parity between main backends.

Also, is there a matrix of implemented features per backend?

Environment: TFJS 3.6.0 on Ubuntu 20.04

[jinjingforever]

Thank you @DCtheTall! This PR might be a good example of adding missing ops to node JS, and this doc might also be helpful. Really appreciate it!

[jinjingforever]

Hi @DCtheTall, I’ve merged my PR. Now you can try implementing flipLeftRight using reverse. The PR also updated the tests. You can test your changes locally by running yarn test in the tfjs-node directory.

Thank you! Really appreciate your help!