Comments (2)
You might noticed that we are not really actively working on issues here. Andres left long ago and we currently have no process on how to deal with older projects.
We currently have no solution for your problem or can recommend something to get it working in newer versions of Ubuntu. A dockerized version might be a solution, but I cannot currently work on this.
from lidar-bonnetal.
Jens, thanks for writing back. It's actually working great with v. minor fixes
20.04 pkg | version | method |
---|---|---|
cuda | 11.8 | apt |
cudnn | 8.6 | manual |
python | 3.9.18 | conda |
torch | 2.2.0 | https://pytorch.org/get-started/previous-versions/ |
tf | 2.12.0 | pip |
from lidar-bonnetal.
Related Issues (20)
- About learning_map in semantic-kitti.yaml file HOT 3
- Where do the values in arch_cfg.yaml file come from, especially fov_up, fov_down, img_means, img_stds? HOT 4
- IndexError HOT 2
- Stop-gradients in skip-connections HOT 2
- Expected object of scalar type Long but got scalar type Int for argument #2 'target'
- Question about speed after tensorrt of rangenet++ HOT 2
- Possibility of rosifying the process HOT 1
- No error or no visualizations when executing the viusalization.py file
- Questions about the learning setting HOT 1
- Where are the pretrained models HOT 4
- Inference, and training not working on Semantic KITTI dataset. HOT 2
- index the unused points HOT 1
- KNN HOT 1
- Module not found error when running the infer function to get the prediction.
- RangeNet++
- How to create cali.txt and pose.txt data from custom data HOT 1
- about the dataest HOT 2
- KNN HOT 1
- Why in all arch settings, KNN is disabled?
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