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Vladimir Mandic edited this page Oct 23, 2021
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AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition,
Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis,
Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition, Body Segmentation
JavaScript module using TensorFlow/JS Machine Learning library
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Browser:
Compatible with both desktop and mobile platforms
Compatible with CPU, WebGL, WASM backends
Compatible with WebWorker execution -
NodeJS:
Compatible with both software tfjs-node and
GPU accelerated backends tfjs-node-gpu using CUDA libraries
- List of all Demo applications
- Live: Main Application
- Live: Face Extraction, Description, Identification and Matching
- Live: Face Extraction and 3D Rendering
- Live: Multithreaded Detection Showcasing Maximum Performance
- Live: VR Model with Head, Face, Eye, Body and Hand tracking
- Examples galery
- Home
- Installation
- Usage & Functions
- Configuration Details
- Output Details
- Caching & Smoothing
- Face Recognition & Face Description
- Gesture Recognition
- Common Issues
- Background and Benchmarks
- Comparing Backends
- Development Server
- Build Process
- Adding Custom Modules
- Performance Notes
- Performance Profiling
- Platform Support
- Diagnostic and Performance trace information
- Dockerize Human applications
- List of Models & Credits
- Models Download Repository
- Security & Privacy Policy
- License & Usage Restrictions
See issues and discussions for list of known limitations and planned enhancements
Suggestions are welcome!
Human
library is written in TypeScript
4.4
Conforming to JavaScript
ECMAScript version 2020 standard
Build target is JavaScript
EMCAScript version 2018
Human Library Wiki Pages
3D Face Detection, Body Pose, Hand & Finger Tracking, Iris Tracking, Age & Gender Prediction, Emotion Prediction & Gesture Recognition