Mesh-to-USD Setup
SkillCloud & infraPrepares your repo's mesh-to-USD environment by checking inputs, Docker images, GPU access, and model weights.
Use Mesh-to-USD Setup in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Mesh-to-USD Setup and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Mesh-to-USD Setup skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
About this skill
Prepare this repository's mesh-to-USD generation, structural validation, and Isaac Sim drop-test environment. Use when a user asks to build the mesh-to-USD images, verify Docker/GPU access, prepare FoundationPose support calibration, check model weights, validate a standalone GLB or exported HOI seq
What this skill tells your AI
The instructions your AI receives, as published by nvidia-isaac/video_to_data in .codex/skills/mesh-to-usd-setup/SKILL.md and read by ahel’s review.
Prepare the workflow and prove that the requested input mode is runnable. Work
from reconstruction/; keep Isaac Sim, OpenUSD, CoACD, and FoundationPose
dependencies inside their existing containers.
Act before asking
- Inspect the checkout, Python, Docker, GPU, disk, images, and supplied input immediately.
- Default to GPU 0 when the user has not constrained GPU use.
- Use
modules/v2d_hoi_object_reconstruction/mesh_to_usd/tests/data/toy_airplane/einstar/output_aligned.glbfor a non-destructive input check when no asset was supplied. - Build only missing images. Add FoundationPose only for cross-mesh recorded support, not for a standalone mesh or an exact recorded mesh with poses.
- Do not ask about mass, friction, output paths, or drop-test tuning during
setup; those belong to
mesh-to-usd-run. - Never accept the NVIDIA Isaac Sim EULA on the user's behalf. Existing
ACCEPT_EULA=Yor an explicit user instruction is sufficient for a later generation or drop-test run. - Ask only when credentials, EULA acceptance, missing external data, or another genuinely user-only action blocks progress.
Establish the checkout
REPO_ROOT="$(git rev-parse --show-toplevel)"
cd "$REPO_ROOT/reconstruction"
git status --short
python --version
docker version
nvidia-smi
df -h .
Treat
modules/v2d_hoi_object_reconstruction/mesh_to_usd/README.md and the current
CLI help as authoritative:
python modules/v2d_hoi_object_reconstruction/mesh_to_usd/build.py --help
python modules/v2d_hoi_object_reconstruction/mesh_to_usd/run_mesh_to_usd_workflow.py --help
python modules/v2d_hoi_object_reconstruction/mesh_to_usd/run_drop_test.py --help
Preserve unrelated local changes and existing results.
Determine the input contract
Choose the contract from the supplied paths without interviewing the user:
- Standalone mesh: one nonempty USD/USDA/USDC, OBJ, FBX, glTF/GLB, or STL asset. Its physical scale must already be correct.
- Exact exported sequence:
object_mesh/output_aligned.glb,poses.npy, andground_plane.json. - Catalog or cross-mesh support: a target mesh beside
output_symmetry.json, plus a sequence containingedex, per-camera RGB, depth and mask H5 sources, andground_plane.json. - Batch: catalog directories joined to exported sequences by exact
object.idinhoi_metadata.yaml.
Fail on a missing required file. Do not silently substitute geometry-derived support for missing recording data.
Build only missing images
Normal generation plus validation uses:
v2d_hoi_mesh_to_usd
v2d_hoi_mesh_to_usd_validator
Inspect them with docker image inspect. Build both when either is missing:
python modules/v2d_hoi_object_reconstruction/mesh_to_usd/build.py
Use --target generator or --target validator only for a deliberately scoped
repair. Use --dev at runtime only when validating local source changes.
Cross-mesh support additionally needs FoundationPose:
python modules/v2d_foundation_pose/docker/build.py
python modules/v2d_foundation_pose/docker/run_download_weights.py \
--output_dir data/weights/foundationpose
Do not download FoundationPose weights for modes that do not invoke it.
Prove readiness
Before declaring setup complete, show PASS, FAIL, or BLOCKED for each applicable gate:
-
All host
--helpcommands above succeed. -
The selected input contract exists and every required file is nonempty.
-
v2d_hoi_mesh_to_usdandv2d_hoi_mesh_to_usd_validatorexist. -
GPU 0 is visible inside the generator image:
docker run --rm --gpus '"device=0"' --entrypoint nvidia-smi \ v2d_hoi_mesh_to_usd -
Cross-mesh mode, when selected, has the FoundationPose image, populated weights, and complete per-camera inputs.
-
The user has explicitly accepted the EULA or will provide
ACCEPT_EULA=Ybefore an Isaac Sim command. Treat this as a run gate, not a reason to skip other setup checks.
Continue with mesh-to-usd-run when the request also includes generation or a
drop test. Do not stop after setup merely because the full simulation is long.
Signals
- GitHub stars
- 810
- Forks
- 88
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
mesh-to-usd-setup- Source
- github.com/nvidia-isaac/video_to_data
github.com/nvidia-isaac/video_to_data
Related picks
Skill · wshobson
The pick for Pythonpython-pro
Skill · jeffallan
The pick for Pythonfind-skills
Skill · vercel-labs
More in Cloud & infravercel-react-best-practices
Skill · vercel-labs
More in Cloud & infraturborepo
Skill · vercel
More in Cloud & inframicrosoft-foundry
Skill · microsoft
More in Cloud & infra