SLA

Official implementation of our the paper:

Sparse Label Assignment for Oriented Object Detection in Aerial Images .

Usage

The code is very simple, just modify the parameters of the relevant shell files and then run it.

Installation

conda create -n sla python=3.6 -y
source activate sla
conda install pytorch=1.5 torchvision cudatoolkit=10.1 -c pytorch

pip install -r requirement.txt

sh compile.sh

Inference

sh demo.sh

Training

1. Put the dataset to the data directory.
2. Prepare dateset via:

sh prepare.sh

3. Start training:

sh train.sh

Evaluation

Conduct evaluation via:

sh test.sh

Citation

If you find our work or code useful in your research, please consider citing:

@article{ming2021sparse,
  title={Sparse Label Assignment for Oriented Object Detection in Aerial Images},
  author={Ming, Qi and Miao, Lingjuan and Zhou, Zhiqiang and Song, Junjie and Yang, Xue},
  journal={Remote Sensing},
  volume={13},
  number={14},
  pages={2664},
  year={2021},
  publisher={Multidisciplinary Digital Publishing Institute}
}