EmoPy: a machine learning toolkit for emotional expression

阿新 • • 發佈：2018-12-28

I recently led a project team at ThoughtWorks to create and open source a new Facial Expression Recognition (FER) toolkit named EmoPy. The system produces accuracy rates comparable to the highest rates achievable in FER and is now available for anyone to use for free. Working with Sofia Tania (left) and Karen Palmer (right) to create EmoPy This article explains how the EmoPy system is designed and how it can be used. It will examine the architectures and datasets selected, and illustrate why those choices were made. This should be helpful for those considering using EmoPy in their own projects, contributing to EmoPy, or developing custom toolkits using EmoPy as a template.

EmoPy: a machine learning toolkit for emotional expression

I recently led a project team at ThoughtWorks to create and open source a new Facial Expression Recognition (FER) toolkit named EmoPy. The system produces

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