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Commits, branches and sync with the but CLI
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Running and evaluating the FoundationPose pipeline v1.0.0
Use this resource to run and evaluate the FoundationPose perception pipeline on BOP datasets
New
- 403 downloads
- 132 likes
- 104 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install foundationpose-dataset-evaluationWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent adapts BOP datasets, prepares ground-truth caches, runs only the needed steps and interprets pose metrics. It keeps provenance for each run, using a TensorRT depth engine.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- Apache-2.0
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What you get
- SKILL.md: run and evaluation method
- evals/files/baseline.json: reference result example
- evals/config.yml: evaluation configuration
Good fit for
- You want to evaluate poses on a BOP-format dataset
- You compare two sets of pose results
Not for
Tags
- foundationpose
- bop
- evaluation
- pose
About
You say
“Evaluate the poses on my BOP dataset and compare them with the reference.”
Skill published by nvidia under the Apache-2.0 license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to run and evaluate the FoundationPose perception pipeline on BOP datasets
- Review and adjust the result
Content preview
Files
- agents/openai.yaml0.3 KB
- BENCHMARK.md7.5 KB
- evals/config.yml0.2 KB
- evals/evals.json5 KB
- evals/files/baseline.json0.3 KB
- evals/files/candidate.json0.3 KB
- LICENSE11.3 KB
- NOTICE-PALATEKIT.md0.5 KB
- skill-card.md4 KB
- SKILL.md9.7 KB
- skill.oms.sig5.4 KB
Origin and licence
Listed unmodified
- Author
- nvidia
- Source
- github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/foundationpose-pipeline
- Licence
- Apache-2.0
Notice
« foundationpose-pipeline » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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