Cool. I've been thinking about where to find an alternative to the Veo Technologies camera system that most clubs use but is pretty expensive. This seems like it could work
It won't be any hard, as we simply gather players' positions and generate stats accordingly. The number of players or the size of the pitch doesn't affect the process.
I'm interested in trying a hockey video. You can contact me here if you are interested as well: futvissoftware@gmail.com
> making an aimbot look human by bezier curving the mouse path to the target
I can't remember the reference precisely but I believe in the film Dune some missiles follow Bezier curves to an estimated target position because it gives a more interesting flight path. Or something like that.
I agree, GPT3.5 has been working insanely well for me when making overpass turbo queries. I guess there's lots of training data in the dataset for it. Made a quick 10 liner that takes in a bbox & search prompt -> GPT3.5 -> overpass turbo -> geojson
In my experience it seems like prompting for older technologies works much better on large LLMs, i guess it makes sense considering that there is probably more crawlable documentation out there
Cool, I wasn’t sure what it was since I only have an iOS device available to me. My first guess was some leaflet map with tiles of the game map, but this sounds more interesting to me then.
It doesn't work on iOS? I was about to comment how impressed I was that it works (and pretty smoothly) on mobile—but I'm on Android over here. Wonder what's not supported in Safari…
