Jens Behley

It seems to be a problem of the version of TensorRT and RTK graphic cards. Everything works as expected with TensorRT 5.1:  Hope that resolves your issue. We also...

Hi @TT22TY, and I run it under Ubuntu 18.04 using the following combination: 1. GeForce RTX 2070, Cuda V10.1.243, Cudnn 7.6.3, Driver 418.87.01, TensorRT 5.1.5.0-ga For TensorRT I downloaded: nv-tensorrt-repo-ubuntu1804-cuda10.1-trt5.1.5.0-ga-20190427_1-1_amd64.deb

We currently only experienced problem with RTX models. However, I would currently suggest to use TensorRT 5.1, since this is the version we also tested the most and have had...

You can always run the model without TensorRT (see lidar-bonnetal for the pytorch models), since this worked reliably on all our systems with different GPUs. We currently cannot do anything...

Do you have individual scans (say around 150k points) or larger scans/a single large scan (say millions of points) that yo want to annotate?

We observed some problems with very large point clouds (20 million+); thus I was wondering. Could you provide an image or a link to the data to better understand what...

not sure what one sees in the first image: are the black points the problem? the points that get removed by the bounding box in the center of each scan,...

it seems like there is no update on this issue, so I close it for now. If you have further questions, then feel free to re-open the issue.

it seems like there is no update on this issue, so I close it for now. If you have further questions, then feel free to re-open the issue.

The kNN majority vote helps only if the majority of points nearby have the correct class (which is our assumption); therefore, the "blue dots" don't have a majority of "correct"...