For those who would like to try it for real and not wait in a queue. It's a very fast model, even with your CPU it doesn't take very long.
This repo is a convenience wrapper that sets up Python just so, runs ml-sharp, and then builds a static WebXR website so you can view the results on a Quest headset or similar.
I find it is most interesting for indoor scenes with people in them. It's a bit like a rag doll version of everyone. Outdoor scenes with nature tend to generate complex topologies of polygons that kill the headset's frame rate.
I've cleaned this up since my earlier submission. It should now work on any Mac or Linux environment.
For those who would like to try it for real and not wait in a queue. It's a very fast model, even with your CPU it doesn't take very long.
This repo is a convenience wrapper that sets up Python just so, runs ml-sharp, and then builds a static WebXR website so you can view the results on a Quest headset or similar.
I find it is most interesting for indoor scenes with people in them. It's a bit like a rag doll version of everyone. Outdoor scenes with nature tend to generate complex topologies of polygons that kill the headset's frame rate.
I've cleaned this up since my earlier submission. It should now work on any Mac or Linux environment.