Official source code to CVPR'20 paper, "When2com: Multi-Agent Perception via Communication Graph Grouping"

wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
bash Miniconda3-latest-Linux-x86_64.sh

conda create -n semseg python=3.6
source actviate semseg

pip install -r requirements.txt

mkdir dataset
mv (dataset folder name) dataset/

# [Single-request multi-support] All norm  
python train.py --config configs/srms-allnorm.yml --gpu=0

# [Multi-request multi-support] when2com model  
python train.py --config configs/mrms-when2com.yml --gpu=0

# [Single-request multi-support] All norm  
python test.py --config configs/srms-allnorm.yml --model_path <your trained weights> --gpu=0

# [Multi-request multi-support] when2com model  
python test.py --config configs/mrms-when2com.yml --model_path <your trained weights> --gpu=0

@inproceedings{liu2020when2com,
    title={When2com: Multi-Agent Perception via Communication Graph Grouping},
    author={Yen-Cheng Liu and Junjiao Tian and Nathaniel Glaser and Zsolt Kira},
    booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2020}
}