Rknn-toolkit Alternatives
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rknn-toolkit reviews and mentions
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Ask HN: What is a AI chip and how does it work?
Well, I already said it :P RK3588's NPU can only do convolutions and a small list of activation functions. Realistically it's usable only on image (2D, 3D data). The software side is pretty weird: It's amazing the amount of models they support despite the limited fixed-hardware function, but there has been literally 0 development in the last 6 months and it does have a lot of bugs that doesn't seem hard to fix. Even when it comes to images, it doesn't support changing the resolution of the input (you need to ""recompile the model"" for that), which is super weird since hardware pipeline doesn't care much about the size.
Anyway, I really don't recommend it, unless you're making your own model, you know before-hand what's supported and what isn't, and your input is fixed resolution (which is a pretty fair usage in an embedded system) (fixed = doesn't change at every frame. handling hotplug from one webcam with a resolution to another with another resolution is fine)
I think looking at the examples give you a reasonable show of what it can do: https://github.com/rockchip-linux/rknn-toolkit/tree/master/e...
Stats
rockchip-linux/rknn-toolkit is an open source project licensed under BSD 3-clause "New" or "Revised" License which is an OSI approved license.
The primary programming language of rknn-toolkit is Python.
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