[runnerup]

> I truly think that TFLite + Coral will be a game-changer for a lot of industries

I'd like to agree. Google was very far ahead of the curve when they released Coral. I was completely stoked when they finally added hardware video encoding to the platform with the release of the Dev Board Mini.

I want them to succeed but I fear if they don't drastically improve their Developer Experience, others will catch up and eat their lunch. TensorFlow has been hard to pick up. A few years ago when I was trying to pick this up to create some edge applications, PyTorch wasn't so much easier that it seemed worth sacrificing EdgeTPU support. But now PyTorch seems much, much easier than it did then, while TensorFlow hasn't seemed to improve in ease-of-use.

Now I'm genuinely considering sacrificing TFLite / EdgeTPU in favor of, say Jetson-esque solutions just so that I can start doing something.

Note: I am an amateur/hobbyist in this context, I am not doing Edge machine learning professionally.

[SleekEagle]

Yeah, I hear you loud and clear on a lot of those points. I think the most important think honestly is the fact that most PhDs use PyTorch in academia, so industry will inevitably shift to tailor to this growing supply if possible. Of course, Coral/TFLite are really useful, so a balance will be found, but it'll be interesting to see how it plays out.