Double Take
Released under MIT, Double Take provides unified UI and API for processing and training images for facial recognition on self-hosted infrastructure.
Overview
Unified UI and API for processing and training images for facial recognition. Unified UI and API for processing and training images for facial recognition. - skrashevich/double-take The project has 687 GitHub stars and is licensed under MIT.
Key Features
Source: GitHub README
- Responsive UI and API bundled into single Docker image
- Ability to password protect UI and API
- Support for multiple detectors
- Train and untrain images for subjects
- Process images from NVRs
- Publish results to MQTT topics
- REST API can be invoked by other applications
- Disable detection based on a schedule
- Home Assistant Add-ons
- Preprocess images with OpenCV
Getting Started
Source: GitHub README
docker run -d -v $(pwd)/.double-take:/.storage -p 3000:3000 skrashevich/double-take:latest
Normalized Features
Source: tool-features-normalized.json
docker, docker compose, plugins, responsive, rest api.
Deploy
Features
Integrations & APIs
- Plugin / Extension System
- REST API
Mobile & Desktop
- Responsive / Mobile-Friendly
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