jakowenko/double-take
Unified UI and API for processing and training images for facial recognition. observed · 2026-08-28
Health v2 · maintenance only
40/100
- Activity 37
- Release rhythm 11
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2001
- days_rel: 380
- days_push: 380
- n_releases_24m: 1
Adoption not part of the score
1436 stars · 146 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Double Take is a self-hosted Docker application providing a unified UI and API for facial recognition. It abstracts multiple face detection services (CompreFace, DeepStack, Facebox, Amazon Rekognition) behind one interface, processing images from NVRs like Frigate and publishing results over MQTT.
Use cases
- run facial recognition on security camera snapshots
- unify multiple face detection backends behind one API
- identify people from Frigate camera events
- train face recognition subjects from a web UI
- publish face match results to MQTT for Home Assistant
- detect room presence based on who is seen on camera
When to choose
- you use Frigate or another NVR and want person identification
- you want to swap or combine face recognition engines without changing your automation
- you want a ready-made UI for training and managing face subjects
- you want MQTT/REST integration with Home Assistant
When to avoid
- you need general object detection rather than face recognition
- you want a standalone face recognition engine rather than an orchestrator
- you cannot run Docker containers
- you need real-time video stream analysis rather than snapshot processing
Facets
application · maturity active
computer-vision image-processing api-framework web-framework machine-learning middleware computer-vision image-processing self-hosted iot self-hosted face-recognition frigate mqtt home-assistant nvr compreface deepstack facebox rekognition room-presence home-automation docker web-server linux
5 sources
- readme: https://github.com/jakowenko/double-take · fetched 2026-08-28 · c24e9f912d94
- homepage: https://hub.docker.com/r/jakowenko/double-take · fetched 2026-08-29 · e3ef3cb1ac37
- site_page: https://docs.docker.com/docker-hub · fetched 2026-08-29 · caaa18892709
- site_page: https://www.docker.com/docs · fetched 2026-08-29 · aeada2272712
- site_page: https://www.docker.com/company · fetched 2026-08-29 · 05ab59b2bc29
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| jakowenko/double-take | main | 40 |
For agents
markdown · JSON · MCP: product_card(name="jakowenko/double-take")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem