I made a computer vision tool for rock climbing holds analysis! As someone who is newer to climbing and wants to improve, I've noticed more and more recently how everyone solves the route differently. As I said to my friends the other day, "Everyone has to find their own way." 🤣 So I extended my last rock climbing demo with new analytics that I'm really excited about. I added what percentage of the total time your hands and feet are on a hold, as well as which holds each hand and foot is using. This data can be used in a few ways. For example, I know that I should use my feet and legs more when climbing. This tool can show me how much I use my feet, so I can use that as a baseline to improve. What I'm most excited about is how it enables comparing climbing sequences on the same route. You can compare against your friends' sequences: maybe you use 1, 3, 5, 7, and another friend uses 1, 2, 6, 7. Or you can compare against your own historical data, like I show here at the end. I used ViTPose+ Large for pose estimation and SAM 3.1 to segment the holds, both models accessed through the @vlmrun Gateway. I also use SAM 3.1 to segment the gray floor, so we know when the feet leave the ground to help with starting the route timer. Would love to hear what you think! The code is open-source on GitHub: github.com/jeremyipark/visio…