• This is the open source implementation of the CVPR2022 paper "Iterative Deep Homography Estimation"
  Si-Yuan Cao, Jianxin Hu, ZeHua Sheng, Hui-Liang Shen
  Zhejiang University, Hangzhou, China
• Paper link
• An improved version of IHN will be released soon.

• Requirements
• Usage
• License
• Citation
• Contact
• Acknowledgement

• Create a new anaconda environment and install all required packages before running the code.

conda create --name ihn
conda activate ihn
pip install requirements.txt

The configurations are made in file .vscode/launch.json.
Please notice the location of the datasets in file datasets_4cor_img.py (for mscoco and spid) and datasets.py(for googlemap and googleearth).
Please note that the json file is only tested in vscode terminal.

This project is released under the Apache 2.0 license.

@InProceedings{Cao_2022_CVPR,
    author    = {Cao, Si-Yuan and Hu, Jianxin and Sheng, Zehua and Shen, Hui-Liang},
    title     = {Iterative Deep Homography Estimation},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2022},
    pages     = {1879-1888}
}

• Email: [email protected]

• This work is mainly based on RAFT and SCV, we thank the authors for the contribution.