FreeSkills
Commits, branches and sync with the but CLI
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Works with
- Claude Code
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Training a monocular depth model v1.0.0
Use this resource to train, evaluate and export a TAO monocular depth model
New
- 401 downloads
- 216 likes
- 184 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install monocular-depth-estimation-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 annotation file, pairs model_type and dataset_name with your data, writes the YAML spec from typical overrides, then launches and checks training. You get a five-step procedure ready to run in the TAO container.
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/parameters.md: parameters and checkpoint loading matrix
- references/spec-overrides.md: typical spec overrides
- references/spec_template_export.yaml: export spec template
Good fit for
- You train a depth model from single RGB images
- You want to export or test a TAO depth model before deployment
Not for
Tags
- depth
- computer vision
- TAO
- training
About
You say
“Train a Depth Anything v2 model on my annotated images and export it for TensorRT.”
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 export a TAO monocular depth model
- Review and adjust the result
Content preview
Files
- BENCHMARK.md7.2 KB
- config/skillspector-baseline.yaml1 KB
- evals/evals.json0.9 KB
- LICENSE11.3 KB
- NOTICE-PALATEKIT.md0.5 KB
- references/finetuning-recipes.md7.2 KB
- references/parameters.md5.4 KB
- references/skill_info.yaml4.5 KB
- references/spec_template_deploy.yaml2.1 KB
- references/spec_template_evaluate.yaml5.9 KB
- references/spec_template_export.yaml5.9 KB
- references/spec_template_gen_trt_engine.yaml5.9 KB
- references/spec_template_inference.yaml5.9 KB
- references/spec_template_quantize.yaml5.7 KB
- references/spec_template_train.yaml5.7 KB
- references/spec-overrides.md4.7 KB
- references/spec-param-inference.md3.5 KB
- references/tao-deploy-depth-anything-v2.md7.4 KB
- references/tao-deploy-depth-anything-v2.skill_info.yaml2.5 KB
- references/troubleshooting.md2.1 KB
- schemas/evaluate.schema.json107.6 KB
- schemas/export.schema.json108.3 KB
- schemas/gen_trt_engine.schema.json110.2 KB
- schemas/inference.schema.json108.1 KB
- schemas/manifest.json30.6 KB
- schemas/quantize.schema.json104.4 KB
- schemas/train.schema.json104.4 KB
- skill-card.md5 KB
- SKILL.md15.5 KB
- skill.oms.sig10.1 KB
Origin and licence
Listed unmodified
- Author
- nvidia
- Source
- github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/tao-train-depth-anything-v2
- Licence
- Apache-2.0
Notice
« tao-train-depth-anything-v2 » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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