serengil/deepface

[](https://pepy.tech/project/deepface) [](https://github.com/serengil/deepface/stargazers) [](https://hub.docker.com/r/serengil/deepface) [](https://github.com/serengil/deepface/blob/master/LICENSE) [](https://doi.org/10.35378/gujs.1794891) [](https://deepface.dev?source=deepfacerepo) DeepFace is a lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for python. It is a hybrid face recognition framework wrapping state-of-the-art models: VGG-Face, FaceNet, OpenFace, DeepFace, DeepID, ArcFace, Dlib, SFace, GhostFaceNet, BuffaloL. A modern face recognition pipeline consists of 5 common stages: detect, align, normalize, represent and verify. While DeepFace handles all these common stages in the background, you don’t need to acquire in-depth knowledge about all the processes behind it. You can just call its verification, find or analysis function with a single line of code. Experiments show that human beings have 97.53% accuracy on facial recognition tasks whereas those models already reached and passed that accuracy level. The easiest way to install deepface is to download it from PyPI. It's going to install the library itself and its prerequisites as well. DeepFace is framework agnostic: it…