nutonomy_pointpillars
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SmallMunich
Convert pointpillars Pytorch Model To ONNX for TensorRT Inference
When training the model, I use the pandaset dataset, and I change the point_cloud_range from X∈[-51.2, 51.2] to X∈[-100, 100], then results show that it is hard to converge, even...
Facing below error $ python create_data.py create_kitti_info_file --data_path=KITTI_DATASET_ROOT /home/mohsin/anaconda3/envs/pointpillars/lib/python3.6/site-packages/numba/cuda/envvars.py:17: NumbaWarning: Environment variables with the 'NUMBAPRO' prefix are deprecated and consequently ignored, found use of NUMBAPRO_CUDA_DRIVER=/usr/lib/x86_64-linux-gnu/libcuda.so. For more information about alternatives...
The following is what i met when training the model, does anyone else have the same error? /root/anaconda3/envs/pointpillars/lib/python3.6/site-packages/numba/cuda/envvars.py:17: NumbaWarning: Environment variables with the 'NUMBAPRO' prefix are deprecated and consequently ignored,...
hi, could you provide the pretrain onnx model ?
Readme said it only support sigle GPU,but I saw multi_gpu configure parameter in the code. Thanks for your work!
@Reedeck has opened an issue on this problem at [#19](https://github.com/SmallMunich/nutonomy_pointpillars/issues/19), but it has no answer. Does anyone solved this problem, Could you guys just give some guidance!
After pulling the image, what else to config to run the training and inference parts?
hello, I'm confused about this change in class PillarFeatureNet https://github.com/SmallMunich/nutonomy_pointpillars/blob/68d3181d35702608d410e948608e9815815677b9/second/pytorch/models/pointpillars.py#L52-L73 use conv replace maxpooling op although the shape are same, can this change equivalent? do you know some reference material...
May I ask how to do the visualization for the result? Thank you very much. :)
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Convert pointpillars Pytorch Model To ONNX for TensorRT Inference