• Corpus ID: 233181838

Py-Feat: Python Facial Expression Analysis Toolbox

@article{Cheong2021PyFeatPF,
  title={Py-Feat: Python Facial Expression Analysis Toolbox},
  author={J. H. Cheong and Tiankang Xie and Sophie Byrne and Luke J. Chang},
  journal={ArXiv},
  year={2021},
  volume={abs/2104.03509}
}
Studying facial expressions is a notoriously difficult endeavor. Recent advances in the field of affective computing have yielded impressive progress in automatically detecting facial expressions from pictures and videos. However, much of this work has yet to be widely disseminated in social science domains such as psychology. Current state of the art models require considerable domain expertise that is not traditionally incorporated into social science training programs. Furthermore, there is… 
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