# facebookresearch/DetectAndTrack

The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in Videos"

Repository: https://github.com/facebookresearch/DetectAndTrack
Canonical: https://ross.abutalabs.com/products/detectandtrack
Language: Python
License: Apache-2.0
License Family: permissive
Archived: true
Last push: 2019-01-20T08:38:42+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3058, "days_push": 2782, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 997, forks 184 (observed 2026-09-03T02:15:11.845918+00:00)

## Summary
No AI-extracted summary yet.

## Member repositories
- facebookresearch/DetectAndTrack (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:11.845918+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Data as of 2026-08-30T08:39:29.467469+00:00.