✨FCOSF✨

Introduction

This is the official implementation of FCOSF, which is implemented on OBBDetection

Update

• (2023-05-29) Release FCOSF🔥.
• (2023-05-29) Release MMRotate Implementation stay tuning🙍.

Installation

Please refer to install.md for installation and dataset preparation.

Get Started

How to use OBBDetection

If you want to train or test a oriented model, please refer to oriented_model_starting.md.

How to Start FCOSF

To help you start quickly, I prepare a simple bash script

Train

config=/path/to/config && work_dir=/path/to/work_dir && cuda=(device_id, like 0, 1, 2, 3 ...)
bash my_exps/train.sh ${config} ${work_dir} ${cuda}

Test

config=/path/to/config && ckpt=/path/to/checkpoint && save_dir=/path/to/results_save_dir && cuda=(same as above)
bash my_exps/test.sh ${config} ${ckpt} ${save_dir} ${cuda}

How to Deploy FCOSF

TODO:

Cite

@article{fcosf,
  author={Rao, Chaofan and Wang, Jiabao and Cheng, Gong and Xie, Xingxing and Han, Junwei},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={Learning Orientation-aware Distances for Oriented Object Detection}, 
  year={2023},
  pages={1-1},
  doi={10.1109/TGRS.2023.3278933}}

License

This project is released under the Apache 2.0 license.