After substantial modifications to the code to receive and process our lidar clouds (32x2000) we realized the trained model provided, while working on your sample .bags, could not identify tree trunks in our forestry dataset. So we need to train a new model using the RangeNet++ training like you did.
What configuration environment did you use? I'm trying 22.04 now. Will try 20.04.1 next with:
tensorflow-2.7.0 Python 3.7-3.9 GCC 7.3.1 CuDNN 8.1 Cuda 11.2
The docker image and source installation instructions you provided for SLOAM were perfect.
After substantial modifications to the code to receive and process our lidar clouds (32x2000) we realized the trained model provided, while working on your sample
.bags, could not identify tree trunks in our forestry dataset. So we need to train a new model using the RangeNet++ training like you did.What configuration environment did you use? I'm trying 22.04 now. Will try 20.04.1 next with: tensorflow-2.7.0 Python 3.7-3.9 GCC 7.3.1 CuDNN 8.1 Cuda 11.2
The docker image and source installation instructions you provided for SLOAM were perfect.
Thanks for your time and attention.