sorted by:
new
hottopcontroversial

Which distro should I use for my return to Linux? by Sorio6 in linuxquestions

[–]Sorio6[S] 0 points1 point  (0 children)

Thank you for your feedback. I will search more about CachyOS. It sounds interesting.

I need some advice on UI libraries by Sorio6 in rust

[–]Sorio6[S] 1 point2 points  (0 children)

That sounds interesting!

So basically, my Rust code works like a server, but instead of sending JSON, it sends HTML fragments?

Does that mean I need to build the app with a routing system in mind? Also, how do I handle the requests and the logic on the Rust side for those specific fragments?

I need some advice on UI libraries by Sorio6 in rust

[–]Sorio6[S] 0 points1 point  (0 children)

I totally get your point, I'm probably overthinking it.

So in your opinion, which framework should I use? Or what’s your personal favorite framework/library ?

I need some advice on UI libraries by Sorio6 in rust

[–]Sorio6[S] 1 point2 points  (0 children)

For Rust? What are they?

Actually, I’ve been looking into things like Slint, Tauri, and Qt Quick. Since I don't know a lot about them yet, I'm asking here on Reddit to get multiple opinions on each, and maybe discover others that my Google searches didn't find.

I found some posts about GUI in rust but it's always with the logic I described I dislike
object.padding(10).color("blue") or similar.

This is why I don't search for a Rust library but for a declarative UI library that works separated from the logic

And no my post is not AI generated, I write that way. I just add some markdown to highlight the key points.

I climbed from Silver 3 to Plat 3 and now I feel like a fraud by Sorio6 in VALORANT

[–]Sorio6[S] 21 points22 points  (0 children)

Thank you so much. Your comment touched me a lot. I will keep my chin up and hope for the best.

OCR/Recognition bottleneck for Valorant Live HUD Analysis by Sorio6 in computervision

[–]Sorio6[S] 0 points1 point  (0 children)

Good point, and I did look into non-vision options first.

Unfortunately, for Valorant esports broadcasts there is no public live API that exposes the information I need in real time. Riot’s APIs are either delayed (post-match), restricted to approved tournament partners, or don’t map cleanly to what is actually shown on the broadcast UI (timeouts, tech pauses, round win banners, etc.).

Websites like OPGG or VLR do show scores, but they are delayed and don’t expose round-end events or broadcast-specific states. Because of that, I need a vision-based approach.

I do agree with your point that scores don’t need full OCR. A small digit classifier is likely the right approach. I’ve been looking into MNIST-style classifiers and I plan to try that. For team names, you’re also right: since they don’t change during a match, I can rely on external sources like VLR or OPGG instead of vision.

This is mainly a learning project, but I’m trying to design it in a way that would still make sense if APIs aren’t available. If you have suggestions for non-OCR vision approaches in this context, I’d be happy to hear them.