3DiVi/open-source-face-sdk
3DiVi/open-source-face-sdk has 58 GitHub stars and 8 forks. GitHot measured 0 stars in 24 hours. Last checked 2026-11-15 06:48 UTC. Last push 2026-11-12.
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关于
Open source 2D/3D face and body analysis library with toolkit for ML model retraining and generalization improvement.
创作与媒体README.md
原文3DiVi Open Source Face SDK
3DiVi Face SDK is an open-source library that analyzes images to identify human faces, bodies and skeletal joints. The library is top rated in NIST FRVT with 99.62% face recognition accuracy and is available for C++, Python, C#, and Java programming languages on Windows and Linux. It contains Open Model Improvement and Domain Adaptation Scripts which allows you to improve model performance for your specific tasks.
| Face Detection and Landmarks | Face Recognition | Face Attributes |
|---|---|---|
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| Detect Faces and Face Landmarks | Create and Match Face Templates | Estimate age, gender, emotions and much more |
| Body Detection and Human Pose Estimation |
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| Detect Human Bodies and Estimate Skeleton Keypoints |
See the list of available models.
Open MIDAS
Beside SDK this repository provides Open Model Improvement and Domain Adaptation Scripts. This toolkit contains the set of techniques and pipelines for models retraining and generalization improvement.
Getting Started
- Learn how to install the library
- Read the user manual
- Check out screencasts describing how to install library and run samples.
Contributions
Improvements to the Open Source Face SDK and Open MIDAS are always welcome. Please fork the repository and get started. Feel free to open an issue if you want to
- report a bug
- submit a fix
- discuss current state of this repo
- propose a new feature
License
Affero GPLv3 Commercial-friendly licensing available. Contact us at [email protected].