Export your w&b API key prior to running a training job using: export WANDB_API_KEY=<your api key>
Modify the docker/compose.yaml
file to mount your data to the container and change any training settings you wish.`
You can use semantic segment generated by ACDG from your own ACI recordings. Alternatively, the set of training data used to train models referenced in our paper can be downloaded here
A training job can be run in docker using the command bash train.sh
.
If you use this code, data or models in your research please cite us in your work:
@misc{bockman2024aarkopentoolkitautonomous,
title={AARK: An Open Toolkit for Autonomous Racing Research},
author={James Bockman and Matthew Howe and Adrian Orenstein and Feras Dayoub},
year={2024},
eprint={2410.00358},
archivePrefix={arXiv},
primaryClass={cs.RO},
url={https://arxiv.org/abs/2410.00358},
}