No, action points I get either from parsing a video capture of a scoreboard or by pulling them over API, depending on which scoreboard/match management system is used.
I do plan to have a front-end for manual annotation of referee performance: correct relative position, timing, determining attacking/defending wrestler etc.
Input: video of an exercise/workout/dance.
Output: single collage image as summary.
Me+team have been working on a large scope problem this past year. We're hardening some of our internal tools, and choose this small-scope problem about a month ago. Results have been encouraging so far, though not yet non-sloppy enough to share. We'll release in about a month.
Going into this, I thought I'd be spending most of my time tuning computer vision. Instead, the majority of the time has been handling codec and ffmpeg behaviour edge cases.
this is interesting for sports i'm involved in. does it sort images by various symmetries? being able to "green line" (don't search that) an image to show where the expected vs. realized symmetry should be would be very useful for athletes.
Which sports are you into? I'll be looking for closed alpha testers shortly. Email me at dustin at hyperpan.cv
Automatically drawing hint lines has been a request from a few people. When I talk to personal trainers or athletes (new or serious) in various sports, I've tested out this concept by asking them what they'd want drawn. Turns out, it's so contextual, opinionated and subjective, I don't think there's a great approach unless I assume we have an unrealistic amount of context.
e.g., one case is kettlebell swings. You might want to see how consistent your swings are in a set, and between sets. To do this well, you'd need to reliably detect the kettlebell swing exercise using some N-way classifier. And then, correct for camera position. And then, center the relevant part of the body (is this shoulder? hips? turns out people have different opinions).
Instead, we're going to use a more generic visualization approach that doesn't try to be opinionated. But, I'm expecting to open-source the visualization front-end so it's tweakable by users.
a back squat form checker would be a product in itself. dressage is probably too niche, but an interesting control or test case. yoga would be a large market.
Yeah, I think so. It's running on a pretty small VPS and I never implemented any caching. Should have thought about that before posting I guess. I see the CPU is currently pegged. I was able to get it to load at least 1 trip myself though, so maybe retry in a bit
If Reason in Snow Crash was inscribed with "ultima ratio regum", perhaps someone should graffiti AI datacenters with "prima ratio stultorum", dohohoho.
That's one of the use-cases I had in mind when making this. The permissions are right in the sidebar, so that it's easy to set which people can (or can't) see or edit a given file.
