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CompreFace can be easily integrated into any system without prior machine learning skills. CompreFace provides REST API for face
recognition, face verification, face detection, landmark detection, age, and gender recognition and is easily deployed with docker
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CompreFace is a free and open-source face detection and recognition GitHub project. Essentially, it is a docker-based application that can be used as a standalone server or deployed in the cloud. You don’t need prior machine learning skills to set up and use CompreFace.
CompreFace provides REST API for face recognition, face verification, face detection, landmark detection, age, and gender recognition. The solution also features a role management system that allows you to easily control who has access to your Face Recognition Services.
CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. Our solution is based on state-of-the-art methods and libraries like FaceNet and InsightFace.
Subscribe to CompreFace News and Updates to never miss new features and product improvements.
The system can accurately identify people even when it has only “seen” their photo once. Technology-wise, CompreFace has several advantages over similar free face recognition solutions. CompreFace:
lscpu | grep avx
commanddocker-compose up -d
cmd
in windows search bar)cd path_of_the_folder
, press enter).docker-compose up -d
Follow this link
SDK | Repository |
---|---|
JavaScript | https://github.com/exadel-inc/compreface-javascript-sdk |
More documentation is available here
We want to improve our open-source face recognition solution, so your contributions are welcome and greatly appreciated.
For more information, visit our contributing guide, or create a discussion.
CompreFace is open-source real-time facial recognition software released under the Apache 2.0 license.
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