Emil Ernerfeldt
Emil Ernerfeldt
The current state is around 1.5M points @30 fps on my M1 MacBook Pro. We are bounded primarily by * CPU (upload) * overdraw when zoomed out a lot A...
`examples/python/open_photogrammetry_format/main.py`, showing just the 3D view, on `--release`, averaged over a few frames, MacBook Pro M1 * 0.8.2, ~47 ms/frame  * 0.9.0, 15.3 ms/frame 
We have these now: https://www.rerun.io/docs/howto
I agree we should improve the documentation here. Currently we have this in `rerun_py/USAGE.md`: > You can set `--memory-limit=16GB` to tell the Rerun Viewer to purge older log data when...
We should also make sure that both `--memory-limit` and `--drop-at-latency` can be set from the Python SDK and with environment variables: * https://github.com/rerun-io/rerun/issues/1736
This is now documented in https://www.rerun.io/docs/howto/limit-ram
`log_points` should then have the ergonomics of `log_point`, e.g. not having to wrap in extra array
We've decided never to add `log_images` or `log_tensors`, and instead treat each value in a tensor as an instance: * https://github.com/rerun-io/rerun/issues/1756
We're rewriting the API now; this will now be handled by archetypes
Any updates on this?