Face.evoLVe: A cross-platform library for high-performance face analytics.

We develop face.evoLVe —a comprehensive library that collects and implements a wide range of popular deep learning-based methods for face recognition. The motivation of the software is to lower the technical burdens in reproducing the existing methods for comparison, while users of our library could focus on developing advanced approaches more efficiently. More specifically, Face.evoLVe is well designed with an extensible framework under vibrantly evolving, so that new face recognition approaches can be easily plugged into our framework. The library is available at https://github.com/ZhaoJ9014/face.evoLVe. Face.evoLVe has been widely used for face analytics, receiving 2,700 stars and 683 forks and we have used Face.evoLVe to participate in a number of face recognition competitions and secured the first place. [ABSTRACT FROM AUTHOR]