Research platform for 3D object detection in PyTorch.
A clean, easy-to-use PyTorch library for lidar perception.
See inference.py and train.py. To train, need to first start a visdom server using command visdom
to enable train loss monitoring. (Requires visdom python package to be installed).
See install.md.
If you find this work helpful in your research, please consider starring this repo and citing:
@article{hultman2020vision3d,
author={Jacob Hultman},
title={vision3d},
journal={https://github.com/jhultman/vision3d},
year={2020}
}
Contributions are welcome. Please post an issue if you find any bugs.
Please see license.md. Note that the code in vision3d/ops
is largely from detectron2 and hence is subject to the Apache license.