Early Bird 🦅

EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View

Torben Teepe, Philipp Wolters, Johannes Gilg, Fabian Herzog, Gerhard Rigoll

Usage

Getting Started

1. Install PyTorch with CUDA support

   pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu118

2. Install mmcv with CUDA support

   pip install mmcv==2.0.0 -f https://download.openmmlab.com/mmcv/dist/cu118/torch2.1/index.html

3. Install remaining dependencies

   pip install -r requirements.txt

Training

python main.py fit -c configs/t_fit.yml \
    -c configs/d_{multiviewx,wildtrack}.yml

Testing

python main.py test -c model_weights/config.yaml \
    --ckpt model_weights/model-epoch=35-val_loss=6.50.ckpt

Acknowledgement

• Simple-BEV: Adam W. Harley
• MVDeTr: Yunzhong Hou

Cite

If you use EarlyBird, please use the following BibTeX entry.

@InProceedings{teepe2023earlybird,
    author    = {Teepe, Torben and Wolters, Philipp and Gilg, Johannes and Herzog, Fabian and Rigoll, Gerhard},
    title     = {Early{B}ird: Early-Fusion for Multi-View Tracking in the Bird's Eye View},
    booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops},
    month     = {January},
    year      = {2024},
    pages     = {102-111}
}