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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
Check out Simple Live Demo fully annotated app as a good start starting point (html)(code)
Check out Main Live Demo app for advanced processing of of webcam, video stream or images static images with all possible tunable options
- To start video detection, simply press Play
- To process images, simply drag & drop in your Browser window
- Note: For optimal performance, select only models you'd like to use
- Note: If you have modern GPU, WebGL (default) backend is preferred, otherwise select WASM backend
All browser demos are self-contained without any external dependencies
- Full [Live] [Details]: Main browser demo app that showcases all Human capabilities
- Simple [Live] [Details]: Simple demo in WebCam processing demo in TypeScript
- Embedded [Live] [Details]: Even simpler demo with tiny code embedded in HTML file
- Face Detect [Live] [Details]: Extract faces from images and processes details
- Face Match [Live] [Details]: Extract faces from images, calculates face descriptors and similarities and matches them to known database
- Face ID [Live] [Details]: Runs multiple checks to validate webcam input before performing face match to faces in IndexDB
- Multi-thread [Live] [Details]: Runs each Human module in a separate web worker for highest possible performance
- NextJS [Live] [Details]: Use Human with TypeScript, NextJS and ReactJS
- ElectronJS [Details]: Use Human with TypeScript and ElectonJS to create standalone cross-platform apps
- 3D Analysis with BabylonJS [Live] [Details]: 3D tracking and visualization of heead, face, eye, body and hand
- VRM Virtual Model Tracking with Three.JS [Live] [Details]: VR model with head, face, eye, body and hand tracking
- VRM Virtual Model Tracking with BabylonJS [Live] [Details]: VR model with head, face, eye, body and hand tracking
NodeJS demos may require extra dependencies which are used to decode inputs
See header of each demo to see its dependencies as they are not automatically installed with Human
- Main [Details]: Process images from files, folders or URLs using native methods
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Canvas [Details]: Process image from file or URL and draw results to a new image file using
node-canvas
-
Video [Details]: Processing of video input using
ffmpeg
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WebCam [Details]: Processing of webcam screenshots using
fswebcam
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Events [Details]: Showcases usage of
Human
eventing to get notifications on processing - Similarity [Details]: Compares two input images for similarity of detected faces
- Face Match [Details]: Parallel processing of face match in multiple child worker threads
-
Multiple Workers [Details]: Runs multiple parallel
human
by dispaching them to pool of pre-created worker processes
- Code Repository
- NPM Package
- Issues Tracker
- TypeDoc API Specification - Main class
- TypeDoc API Specification - Full
- Change Log
- Current To-do List
- Home
- Installation
- Usage & Functions
- Configuration Details
- Result Details
- Customizing Draw Methods
- Caching & Smoothing
- Input Processing
- 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 Wiki Pages
3D Face Detection, Body Pose, Hand & Finger Tracking, Iris Tracking, Age & Gender Prediction, Emotion Prediction & Gesture Recognition