# facebookresearch/frankmocap

A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator

Repository: https://github.com/facebookresearch/frankmocap
Canonical: https://ross.abutalabs.com/products/frankmocap
Language: Python
License: NOASSERTION
License Family: other
Archived: true
Last push: 2022-11-21T20:42:18+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": 2219, "days_push": 1381, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2294, forks 387 (observed 2026-08-28T04:06:35.078913+00:00)

## What it is
FrankMocap is a single-view 3D motion capture system from Facebook AI Research that estimates 3D pose for body, hands, and whole body (body+hands) from videos and images. It packages state-of-the-art pose estimation models with demo scripts and rendering options for easy use.

## Use cases
- estimate 3d body pose from a video
- capture 3d hand motion from webcam footage
- run whole-body motion capture from a single camera
- extract smpl body mesh from images
- egocentric hand tracking from head-mounted video
- generate 3d mocap output for animation or research

## When to choose
- you need 3d human body or hand pose from monocular video without multi-camera rigs
- you want a research-grade pose estimator with simple demo scripts
- you need smpl-compatible 3d output for downstream graphics or analysis

## When to avoid
- you need real-time production mocap with active support and updates
- you require multi-person tracking at scale or commercial licensing clarity
- you need a maintained project - the repo has seen limited recent activity

## Facets
- artifact type: library
- maturity: maintenance
- function: computer-vision, machine-learning, image-processing, video-processing
- domain: computer-vision, machine-learning, graphics, artificial-intelligence
- platform: python
- tags: 3d-pose-estimation, motion-capture, smpl, hand-pose, body-pose, single-view, facebook-research, linux, macos, gpu

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

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:35.078913+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:40:26.143447+00:00, confidence not recorded.
  - readme: https://github.com/facebookresearch/frankmocap (fetched 2026-08-28T04:06:35.078913+00:00, sha 312ce933b982)
- Data as of 2026-08-30T08:39:29.467469+00:00.