conda create -n eval_tool python=3.9
conda activate eval_tool
conda install pytorch=1.13.0 torchvision pytorch-cuda=11.6 -c pytorch -c nvidia
conda install -c fvcore -c iopath -c conda-forge fvcore iopath
conda install -c bottler nvidiacub  # for CUDA older than 11.7
conda install pytorch3d -c pytorch3d
python -m pip install 'git+https://github.com/facebookresearch/detectron2.git'

python eval.py \
    --name cdrone_test_example \
    --gt_ann example/cdrone_test_example.json \
    --pred_ann example/cdrone_test_example_pred.pth \
    --log_dir /tmp/eval_cdrone_test_example

@article{meier2024cdrone,
  author    = {Meier, Johannes and Scalerandi, Luca and Dhaouadi, Oussema and Kaiser, Jacques and Araslanov Nikita and Cremers, Daniel},
  title     = {{CARLA Drone:} Monocular 3D Object Detection from a Different Perspective},
  journal   = {GCPR},
  year      = {2024},
}

@inproceedings{brazil2023omni3d,
  author =       {Garrick Brazil and Abhinav Kumar and Julian Straub and Nikhila Ravi and Justin Johnson and Georgia Gkioxari},
  title =        {{Omni3D}: A Large Benchmark and Model for {3D} Object Detection in the Wild},
  booktitle =    {CVPR},
  address =      {Vancouver, Canada},
  month =        {June},
  year =         {2023},
  organization = {IEEE},
}