Flode-Labs/vid2densepose
Convert your videos to densepose and use it on MagicAnimate observed · 2026-08-28
Health v2 · maintenance only
26/100
- Activity 0
- Release rhythm 35
- Longevity 71
Flags: no_releases
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: 1002
- days_rel: n/a
- days_push: 997
- n_releases_24m: 0
Adoption not part of the score
1102 stars · 133 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Python tool that applies the DensePose model to videos, producing color-coded part-index visualizations for each frame. Its output is designed to feed into MagicAnimate for temporally consistent human image animation.
Use cases
- convert videos to densepose format
- generate densepose visualizations from video frames
- prepare inputs for MagicAnimate human animation
- extract body pose maps from video footage
- run densepose estimation on a video via CLI
- use a gradio interface to convert video to densepose
When to choose
- you need densepose videos specifically for MagicAnimate workflows
- you want a simple CLI or Gradio wrapper around DensePose for video input
- you have a CUDA-capable GPU and want quick pose-map extraction
When to avoid
- you need real-time pose estimation
- you need general-purpose pose keypoints rather than dense UV maps
- you cannot install Detectron2 or lack GPU support
- you need actively developed tooling with frequent updates
Facets
cli-tool · maturity maintenance
computer-vision video-processing image-processing machine-learning computer-vision machine-learning artificial-intelligence python densepose detectron2 magic-animate gradio pose-estimation human-animation video linux macos gpu
1 source
- readme: https://github.com/Flode-Labs/vid2densepose · fetched 2026-08-28 · 67aa9e5c8ee9
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Flode-Labs/vid2densepose | main | 26 |
For agents
markdown · JSON · MCP: product_card(name="Flode-Labs/vid2densepose")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem