Individual skill

tao-train-fast-foundation-stereo

Real-time stereo depth estimation using FastFoundationStereo (FFS), the distilled bp2 commercial variant of FoundationStereo. Predicts disparity maps from stereo image pairs with ~10× lower latency than full FoundationStereo. Use when training, evaluating, exporting, or running inference for a TAO FastFoundationStereo (FFS) model. Trigger phrases include "train fast stereo", "real-time stereo disparity", "FastFoundationStereo", "distilled stereo depth".

skills/tao-train-fast-foundation-stereo/SKILL.md

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Repository stars (not skill ratings): 3,889
Repository last updated: Nov 6, 2026
License: Apache-2.0

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stereo Declared skill tag
depth Declared skill tag
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BENCHMARK.mddoc · 7,458 bytes
SKILL.mdcore · 11,859 bytes
SKILL.mdcore · 11,859 bytes
SKILL.mdcore · 11,859 bytes
config/skillspector-baseline.yamlasset · 1,029 bytes
evals/evals.jsonasset · 839 bytes
references/error-patterns.mddoc · 3,315 bytes
references/important-parameters.mddoc · 7,474 bytes
references/parent-model-inference.mddoc · 3,052 bytes
references/setup-and-run.mddoc · 5,605 bytes
references/skill_info.yamlasset · 4,544 bytes
references/spec-overrides.mddoc · 3,497 bytes
references/spec_template_deploy.yamlasset · 2,733 bytes
references/spec_template_evaluate.yamlasset · 1,890 bytes
references/spec_template_export.yamlasset · 1,870 bytes
references/spec_template_inference.yamlasset · 1,835 bytes
references/spec_template_train.yamlasset · 2,707 bytes
references/tao-deploy-fast-foundation-stereo.mddoc · 19,807 bytes
references/tao-deploy-fast-foundation-stereo.skill_info.yamlasset · 3,741 bytes
schemas/train.schema.jsonasset · 101,587 bytes
skill-card.mddoc · 4,787 bytes
skill.oms.sigasset · 8,373 bytes

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# Depth Net Fast Stereo

> **Standalone install?** If this session was not initialized by the TAO skill bank plugin, run the `tao-setup` skill first (host preflight, credentials, cross-skill discovery).

Real-time stereo depth estimation using **FastFoundationStereo (FFS)** — the bp2 commercial distilled variant of FoundationStereo. Predicts disparity maps from rectified stereo image pairs with per-layer pruned widths for real-time inference.

The mono / stereo / fast-stereo skills share the unified TAO `depth_net` CLI; FFS is selected via `model.model_type: FastFoundationStereo`. FFS differs from `FoundationStereo` only in pruned per-layer widths and a serialized forward path; everything else (entrypoint, action verbs, dataset classes, deploy chain) is identical to `depth-net-stereo`.

For TAO Deploy TensorRT actions (`gen_trt_engine`, TensorRT `evaluate`, TensorRT `inference`), read `references/tao-deploy-fast-foundation-stereo.md` first. The deploy spec template lives at `references/spec_template_deploy.yaml`.

## When to Use

Use this skill to train, evaluate, export, or run inference for a TAO FastFoundationStereo model. Two supported use cases: