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CenterPose training for 6-DoF pose estimation v1.0.0

Use this resource to train and deploy a CenterPose 6-DoF pose estimation model with TAO

New

  • 344 downloads
  • 104 likes
  • 248 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install centerpose-6dof-pose-training

With 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 login

The agent sets up the CenterPose training, evaluation, export and inference specs, with the TensorRT deploy templates. You get configuration files to adapt to your object dataset.

Mostly picked by

Updated November 2, 2026

Card for the “CenterPose training for 6-DoF pose estimation” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • references/spec_template_train.yaml: training spec
  • references/spec_template_export.yaml: export spec
  • references/skill_info.yaml: container and action information

Good fit for

  • You want to estimate the position and orientation of objects from images
  • You must export a trained CenterPose model for TensorRT

Not for

    Tags

    • centerpose
    • 6-dof pose
    • keypoints
    • tao

    About

    You say

    “Prepare the CenterPose training spec for my labeled objects.”

    Card for the “CenterPose training for 6-DoF pose estimation” skill

    Skill published by nvidia under the Apache-2.0 license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to train and deploy a CenterPose 6-DoF pose estimation model with TAO
    3. Review and adjust the result

    Content preview

    Files

    • BENCHMARK.md7.1 KB
    • config/skillspector-baseline.yaml0.8 KB
    • evals/evals.json0.8 KB
    • LICENSE11.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/skill_info.yaml3.5 KB
    • references/spec_template_deploy_evaluate.yaml0.3 KB
    • references/spec_template_deploy_gen_trt_engine.yaml0.5 KB
    • references/spec_template_deploy_inference.yaml0.5 KB
    • references/spec_template_evaluate.yaml2.5 KB
    • references/spec_template_export.yaml2.6 KB
    • references/spec_template_gen_trt_engine.yaml2.8 KB
    • references/spec_template_inference.yaml2.8 KB
    • references/spec_template_train.yaml2.4 KB
    • references/tao-deploy-centerpose.md5.6 KB
    • references/tao-deploy-centerpose.skill_info.yaml2.1 KB
    • schemas/evaluate.schema.json36.5 KB
    • schemas/export.schema.json36.7 KB
    • schemas/gen_trt_engine.schema.json42 KB
    • schemas/inference.schema.json39.3 KB
    • schemas/manifest.json10 KB
    • schemas/train.schema.json33.2 KB
    • skill-card.md4.6 KB
    • SKILL.md11.4 KB
    • skill.oms.sig8.9 KB

    Origin and licence

    Listed unmodified

    Author
    nvidia
    Source
    github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/tao-train-centerpose
    Licence
    Apache-2.0

    Notice

    « tao-train-centerpose » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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