AI-on-the-edge-device VS dust

This is what I am using for this exact purpose: https://github.com/jomjol/AI-on-the-edge-device

Anyway, in case decoding the radio traffic gets you nowhere, this works reasonably well.

- https://jomjol.github.io/AI-on-the-edge-device-docs/

I was looking for a way to collect readings of our water clock and stumbled upon this (https://github.com/jomjol/AI-on-the-edge-device) interesting hw/sw project to aquire data from old measuring devices (water, power, gas,...) with tflite and ocr.

I think this would be better https://github.com/jomjol/AI-on-the-edge-device. It's esp camera with ai detection for water meters, I use it also as monitoring for electricity.. the new firmware has HA support over mqtt. It's more diy but once you set it up it works like a charm.

Try using dust https://github.com/bootandy/dust

Folks open to using gdu might like to try dust (6k stars), or even erdtree (1.4k stars) which is too recent to show up on lists like this and still a bit behind on stars. A lot of people seem to use starship (33k stars) though I'm personally oldschool on prompts. There are many other items on that list I'm not motivated to check.

The first thought I had was to use rayon for this. And looking at some prior art that does pretty much the exact same thing, it does indeed use rayon.

The dust CLI command (made with Rust) can do this too.

How does this compare to dust?

Happened to me this morning, something filled up my drive in minutes. I used dust[1] to look for large files while it was happening but knowing what was doing it would've been a big help.

[1] https://github.com/bootandy/dust

dust is also really nice.