swMATH ID: 32734
Software Authors: Amos, B., Ludwiczuk, B., Satyanarayanan, M.; T. Baltrušaitis, P. Robinson, L.P. Morency
Description: OpenFace: Free and open source face recognition with deep neural networks. OpenFace 2.0: Facial Behavior Analysis Toolkit. Over the past few years, there has been an increased interest in automatic facial behavior analysis and understanding. We present OpenFace 2.0 - a tool intended for computer vision and machine learning researchers, affective computing community and people interested in building interactive applications based on facial behavior analysis. OpenFace 2.0 is an extension of OpenFace toolkit and is capable of more accurate facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation. The computer vision algorithms which represent the core of OpenFace 2.0 demonstrate state-of-the-art results in all of the above mentioned tasks. Furthermore, our tool is capable of real-time performance and is able to run from a simple webcam without any specialist hardware. Finally, unlike a lot of modern approaches or toolkits, OpenFace 2.0 source code for training models and running them is freely available for research purposes.
Homepage: https://cmusatyalab.github.io/openface/
Source Code:  https://github.com/TadasBaltrusaitis/OpenFace
Related Software: LFW; Python; FaceNet; Tesseract; COVAREP; RUBi; VL-InterpreT; CLEVR; MDETR; ViLT; VisualBERT; MultiBench; ViLBERT; DIME; GloVe; Flickr30K; Grad-CAM; NBDT; Faster R-CNN; VQA
Cited in: 4 Publications

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