From 8 -> 5 -> 4 exocentric cameras, all visualized with rerun.io. I've been working on human pose capture for robotics training data and have started making it more accessible by dropping the number of cameras used and collecting my own data to make sure I'm not overfitting to open-source datasets. I've made lots of improvements to the calibration code and ended up merging the full body estimator with the hands only. Also FINALLY got ego synced and working in the full thing.

Full body model really excels in exo views and is worth using if one can get a get view of the upper body, and hands only work great given a good bounding box from projecting 3D exo keypoints into egocentric views.

Consistent progress over time really compounds, and I'm excited as to how fast things are improving.

Code found here - <https://github.com/rerun-io/annotation-example/tree/dbt>