esimov/pigo
Pigo
Pigo is a computer vision library written in Go for locating human faces in images and video streams. It provides tools for face detection, facial landmark identification, and pupil and eye localization.
The project is implemented in pure Go to ensure portable execution without external dependencies. It supports compilation to WebAssembly, enabling face detection and image processing to run directly in web browsers without a backend.
The library's capabilities include real-time face detection using classifier cascades and gaze tracking localization. It maps anatomical points on the face to analyze structural geometry and expressions using randomized tree ensembles.
Features
- Face Detection - Provides computer vision capabilities to locate human faces in images and video streams.
- WebAssembly-Based Detection - Executes face detection directly in the browser via WebAssembly for real-time performance without a backend.
- Facial Landmark Analysis - Provides tools for mapping and analyzing specific anatomical points on the human face for structural geometry.
- Facial Landmark Detection - Provides a tool for identifying anatomical points on a face to analyze structural geometry and expressions.
- Go Computer Vision - Implements fast image recognition and facial detection features within the Go language.
- Eye Localization - Detects the position and boundaries of eyes within a previously detected face.
- Pupil and Eye Localization - Pinpoints the precise coordinates of eyes and pupils within a detected face.
- Web-Based Computer Vision - Provides a computer vision implementation that runs face detection directly in web browsers without a backend.
- Cascade Classifier Detections - Implements face detection using a series of filters through cascade classifiers with Haar-like features.
- Client-Side Image Processing - Executes face detection logic directly in the web browser to avoid sending data to a server.
- Go Libraries - A library written in Go for locating human faces in images and video streams.
- Pure Go Portings - Implemented entirely in pure Go to ensure portable execution without external C dependencies.
- WebAssembly Compilation - Compiles detection logic into WebAssembly binaries to enable high-performance image processing directly in the browser.
- Eye Gaze Tracking - Pinpoints the exact coordinates of pupils and eyes to determine where a person is looking.
- Random Forest Ensembles - Uses randomized tree ensembles to identify facial landmarks and pupil coordinates based on pixel intensity.
- AI and Machine Learning - Face detection library.
Star history
How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
