{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "manfredch-lyapunov--collect-camera-data-from-scene",
 "repo": "ManfredCh/Lyapunov",
 "repo_url": "https://github.com/ManfredCh/Lyapunov",
 "repo_slug": "manfredch-lyapunov",
 "title": "Collect RGB-D camera data from a simulated scene",
 "page_title": "How to collect RGB-D camera data from a simulated scene with Lyapunov",
 "summary": "Place scene cameras, calibrate, annotate and record data for a dataset where the engine supports it.",
 "who": "A research team member who needs labeled camera data from a simulated environment for perception work.",
 "problem": "Camera capture, calibration and annotation are spread across tools, and support differs by engine.",
 "outcome": "Recorded RGB-D captures with calibration and annotations, exported as a dataset from a supported engine.",
 "steps": [
  "Open the scene in the workbench and add or select scene cameras in the camera panel.",
  "Check the engine-specific support for named engine cameras and RGB-D capture in docs/CAPABILITY_MATRIX.md.",
  "Run calibration and annotations, then start recording in the workbench.",
  "Export the dataset only from an engine that supports it, following docs/SCENE_CAMERA_PIPELINE.md."
 ],
 "agent_prompt": "Using the ManfredCh/Lyapunov repo, read docs/CAPABILITY_MATRIX.md and docs/SCENE_CAMERA_PIPELINE.md, then set up RGB-D capture for the scene <scene-name> on the engine <engine-name>. Report which camera types and dataset export options are supported for that engine. Verify support against the capability matrix before recording.",
 "agents": [
  "any"
 ],
 "difficulty": "Advanced",
 "time": "120 minutes",
 "basis": "readme",
 "caveat": "README states that the workspace supports these camera tools only where the selected engine supports them, so check the capability matrix for each engine before relying on a dataset.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "typescript",
 "requirements": [
  "Linux x64 machine with a regular graphical desktop session (X11 is the verified keyboard path)",
  "Terminal access and internet access to run the published installer",
  "Optional: Isaac Sim or Newton installed separately if you want those engines",
  "Optional: a Peiri account with Credits, or your own model provider credentials, only if you want agent-driven work"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/manfredch-lyapunov/collect-camera-data-from-scene/",
 "md": "https://dedupedai.com/use-cases/manfredch-lyapunov/collect-camera-data-from-scene/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/manfredch-lyapunov--collect-camera-data-from-scene.json",
 "api_version": "v1"
}