run-ego-reconstruction-video

run-ego-reconstruction-video is a Computer vision skill for AI agents, published by nvidia-isaac in the video_to_data repository on GitHub. Skillspace rates run-ego-reconstruction-video D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Run the egocentric reconstruction pipeline on an input video. Use when a user asks Codex to process an MP4 or video with the reconstruction ego pipeline, choose between HaMeR/WiLoR and DynHaMR hand tracking, pass an object prompt or object mesh, enable undistortion, SLAM, gravity alignment, gsplat refinement, or export/check the final result bundle and Three.js scene.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
585

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubnvidia-isaac/video_to_data

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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