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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.

Features

Integrations & APIs

  • Plugin / Extension System
  • REST API

Mobile & Desktop

  • Responsive / Mobile-Friendly