calibrate-metropolis-camera
calibrate-metropolis-camera is an Embedded, IoT & robotics skill for AI agents, published by isaac-sim in the IsaacSim repository on GitHub. Skillspace rates calibrate-metropolis-camera C (76/100) and it passed the safety scan; the rating is based on static analysis only.
Extract camera intrinsics, extrinsics, and FOV polygons to calibration.json. Use after cameras are placed; to place them first use place-camera-max-coverage.
- Grade
- C
- Quality
- 76 / 100
- Safety
- Passed
- GitHub stars
- 4,074
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.
Our review
- Architecture
- 91 / 100
- Maturity
- Packaged: licensed, with a version or references
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.