ibug.au_detection

TODO

Prerequisites

Numpy: $pip3 install numpy
PyTorch: $pip3 install torch torchvision
OpenCV (only needed by the test script): $pip3 install opencv-python
ibug.face_detection (only needed by the test script). See this repository for details: https://github.com/hhj1897/face_detection.
ibug.face_alignment. See this repository for details: https://github.com/hhj1897/face_alignment

git clone https://github.com/ibug-group/au_detection.git
cd au_detection
pip install -e .

To test on live video: python au_detection_test.py [-i webcam_index]
To test on a video file: python au_detection_test.py [-i input_file] [-o output_file]

TODO

[1] Toisoul, Antoine, Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos, and Maja Pantic. "Estimation of continuous valence and arousal levels from faces in naturalistic conditions." Nature Machine Intelligence 3, no. 1 (2021): 42-50.