I have a card game (a physical one, not virtual) and I want to “replace” the real cards with digital, animated, “living” ones. Ideally, I could apply this technique to other types of tabletop game, later… but cards are the current project.
This works fine on iOS and even in the Vision Pro simulator, but on hardware, the image recognition is slow and unreliable, and it doesn’t track items through space in real-time. It’s laggy and “floaty”. Image recognition for unique, flat cards should be one of the simplest possible use-cases… and given how much more powerful the hardware is than a phone, and the fact that it works on the simulator, it sure seems like a software issue… but you can’t ship Apps with such severe problems, either.
I have a card game (a physical one, not virtual) and I want to “replace” the real cards with digital, animated, “living” ones. Ideally, I could apply this technique to other types of tabletop game, later… but cards are the current project.
This works fine on iOS and even in the Vision Pro simulator, but on hardware, the image recognition is slow and unreliable, and it doesn’t track items through space in real-time. It’s laggy and “floaty”. Image recognition for unique, flat cards should be one of the simplest possible use-cases… and given how much more powerful the hardware is than a phone, and the fact that it works on the simulator, it sure seems like a software issue… but you can’t ship Apps with such severe problems, either.
It looks like you’re hitting what this person called out:
https://twitter.com/nathanwchan/status/1754624863762047162?s=46&t=uP3SZsZSJ5VGsmbyPE2Jfg
And that is a sucky limit that makes your use-case not usable-able. Which is a shame because it’s a cool use-case.
The tracking is great for everything except image tracking, too.
Yu-Gi-Oh is finally becoming a reality