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Commits, branches and sync with the but CLI
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BEVFusion training with TAO (LiDAR and camera) v1.0.0
Use this resource to train, evaluate and run inference with a TAO BEVFusion model
New
- 322 downloads
- 196 likes
- 211 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install bevfusion-lidar-camera-trainingWith 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 prepares the BEVFusion training, evaluation and inference specs, with the dedicated TAO container and the Swin backbone checkpoints. You get configuration files and the parameters to check for multi-sensor 3D detection.
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
- references/spec_template_train.yaml: training spec
- references/spec_template_evaluate.yaml: evaluation spec
- schemas/manifest.json: manifest schema
Good fit for
- You train a 3D detector for autonomous driving from LiDAR and cameras
- You evaluate a BEVFusion model that is already trained
Not for
Tags
- bevfusion
- lidar
- 3d detection
- tao
About
You say
“Prepare a BEVFusion training spec for my LiDAR and camera dataset.”
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 train, evaluate and run inference with a TAO BEVFusion model
- 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.yaml2.6 KB
- references/spec_template_dataset_convert.yaml0.2 KB
- references/spec_template_evaluate.yaml7.2 KB
- references/spec_template_inference.yaml7.2 KB
- references/spec_template_train.yaml7.2 KB
- schemas/dataset_convert.schema.json2.7 KB
- schemas/evaluate.schema.json97.9 KB
- schemas/inference.schema.json97.9 KB
- schemas/manifest.json12.8 KB
- schemas/train.schema.json97.9 KB
- skill-card.md4.7 KB
- SKILL.md13.4 KB
- skill.oms.sig7.1 KB
Origin and licence
Listed unmodified
- Author
- nvidia
- Source
- github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/tao-train-bevfusion
- Licence
- Apache-2.0
Notice
« tao-train-bevfusion » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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