This repository contains Tensorflow training code for the CVPR 2021 paper:

• Facial Action Unit Detection with Transformers

For details see Facial Action Unit Detection with Transformers by Geethu Miriam Jacob, Bjorn Stenger If you use this code for a paper please cite:

@inproceedings{jacob2021facial,
  title={Facial Action Unit Detection With Transformers},
  author={Jacob, Geethu Miriam and Stenger, Bjorn},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={7680--7689},
  year={2021}
}

Download pretrained models (BP4D dataset) from the following links:

Pre-trained model fold1

Pre-trained model fold2

Pre-trained model fold3

python inference.py

First, clone the repository locally:

git clone https://github.com/RIT/FAU_transformers.git

Then, install the packages in requirements file:

pip install -r requirements.txt

python Prepare_data.py

python main.py

This repository is released under the Apache 2.0 license as found in the LICENSE file.

We welcome your pull requests! Please see CONTRIBUTING.md and CODE_OF_CONDUCT.md for more info.