grub007

OP here! This project is a Pokemon battle simulator that lets you replace the names and moves with your friends. If you’ve ever told your friends what Pokemon they would be — this is the game for you. Make a playable Pokemon battle, pit friends against friends, and see who would win .

The game is built with React Native. Check out the demo in Github! Clone it to build your own custom version.

OP here! This was a fun hackathon project we recently made stitching together the segment-anything-2 model with Google lens. You can click on items you see from instagram posts, youtube videos, or basically anything you see on the web, and it will try to find the most similar items for sale. If you want to change something, you can also chat with the extension to edit the color, brand, etc.

Note: the extension is not published live but sharing the code here!

Here are some i looked at - SwingU, Ace Trace, Swing Profile, Sportsbox AI. Overall seems like two kinds of golf apps: (1) more micro- to track and grade your swing, and (2) more macro- something to track your progress over a course

Yeah Hudl is definitely a beast in the space though I think of them as almost more focused on orgs and teams rather than consumers.

Re: highlight segmentation was and still is a challenge that we work on. In the beginning we had a hard time dealing with false positives when our models thought a shot was in but it wasn't. This has gotten better over time with more data and is hovering near 92% acc these days but obv not 100%. But i'm optimistic as data grows and the sota methods get better, this isn't the hardest ml problem in the world

Yeah! Excited to see what you think of it. Making our tracking algos and shot classifiers better is something we think about a lot.

Thanks for the comment! Would love to know what you think and how we can make the app better :)

oh dang! Thanks for the feature- this was sick to watch. Appreciate you putting the time in to give your thoughts.

This is awesome - thanks for trying it out and for the feedback! I really appreciate it and it goes a long way to help us make the app better.

+1 on the graphic overlays and voiceovers. I personally want to add Mike Breen's Bang bang voice over as an option haha. Also check out mixtapes on your profile page if you haven't yet. You can mashup highlights that way from different recorded sessions.

+1 on realtime scoring and processing. Right now, a recording takes ~30min to process. We are trying to reduce this over time as much as we can until it is close to live.

Thanks! Appreciate the comment!

Check this product out - https://swing.tennis. I've used it before and it's quite good

Oh neat, yeah we could some speech to text thing or maybe even some like visual signal thing to call fouls.

Yeah, that could be cool -- we played around with some designs on showing the leading scorer or some ranking in each feed card as well. I can't say we've cracked it yet but I like the idea of an overlay.

Appreciate the kind words!

Baked our own image models that process each frame to detect objects. Then we added some lightweight video models to detect actions and tracking

Yeah, it would be super cool if all sports had things like this, i think it really enriches the player's experience. I know in tennis there is swingvision so definitely seems like things are headed that way.

We ended up having to collect our own data and train our own deep learning models for detecting balls, players, court, actions, and tracking. But this was because we needed to make things work almost all the time to achieve our desired accuracy. You should try out off-the-shelf things like YOLO, Segment Anything, and Detectron and then after that you probably need to invest more on data collection and model training.

Yeah! We are planning to add blocks, steals, and rebounds in the coming months. I think fouls is still a reach goal right now (hard even for humans) but maybe one day.

Re: capturing the whole court, I think we are considering supporting panning of the camera (in addition to syncing). We focus pretty heavily on making sure things work with just a normal phone so it's more accessible to everyone. We are definitely starting bottom up but maybe one day we will get to more high tech hardware.

Yes please try it out, I'd love to know what you think! My email is [email protected] if you want to chat more about basketball and tech. I would be curious to learn what you have tried so far and what was important to you as a coach

Hey everyone, OP here. Wanted to share a bit more about Hooper — I started building it with a good friend of mine six months ago. We play a lot of pickup together and were arguing about who has a better jump shot and ended up hacking together an app to settle it

The way Hooper works is you can record yourself using the app and ideally a tripod (optional). The app will track everyone, whether its a solo practice, a 3v3, or a 5v5. We think there’s a lot of stuff out there for basketball drills but what we really wanted Hooper to be for is actual game play. That means, it can do things like track multiple players, sync two half court recordings, and differentiate 2s vs 3s.

Once you finish recording, it’ll process for a bit and then ask you to tag yourself (and optionally other players). Then it spits back out a few things: you can watch the full footage as well as a clipped version that's only the interesting plays; you can see highlights and offensive box stats for every player.

When you sign up, you get a Hooper profile that tracks your overall stats across the sessions. You can also do things like build a mixtape from your highlights for insta. You can friend other players on Hooper to see their profile & comment on their games (also add us “grub” and “kangexpress”!)

We’ve been in a closed beta for about 3 months now, fixing bugs and getting things to work with a set of early adopters. We are now starting our open beta ! If anyone here wants to try it out, you can just download the app on https://www.hooper.gg/?utm_campaign=h1. We are early in our journey, and lots of improvements to be made in the next few months, but we would love your feedback and ideas!

How are you making those predictions in Excel?

Sick competition.