mufeedvh

This is a good idea.

Will incorporate false-positive rates into the rubric from the next run onwards.

At winfunc, we spent a lot of research time taming these models to eradicate false-positive rates (it's high!) so this does feel important enough to be documented. Thanks!

thank you! :)

Yes, for messy real-world photos a lightweight CNN would probably outperform the deterministic decoder, but I’d still use it in a hybrid pipeline with classic CV for blob detection and deterministic logic for reconstructing the actual program.

Yes! Just make sure to take a photo on a plain white surface is all.

With:

  uv run mnm decompile path/to/photo.png --mode photo

Author of this silly project here!

Sharing a bit of backstory on why I decided to work on this; Firstly, “for fun” but primarily because I felt like I started losing the childlike wonder/whimsy I once had with programming.

So I started this new hobby where I ask myself “can I hack on this?” upon getting/seeing something.

For instance, I got this new Aula F75 keyboard (really good keyboard for the price btw, it sounds good too!) and it only has dedicated control software for Windows. So I downloaded the driver files, software executable, and manual sheet and reverse engineered the full protocol/packets and rebuilt it for my Mac. Then played snake with the backlights. Fun.

Anywho, happy to see my blog on the front page. Would love to hear if anyones going through something similar or working on silly little projects! :)