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By nvidia

physical-ai-video-data-augmentation

nvidia2k installs

Turn your videos into labeled training variants.

What it does

Produces augmented and automatically labeled videos through OSMO workflows, then retrieves the results and comparison evidence.

When to use it

Use for video augmentation and auto-labeling workflows on OSMO, not for container-internal tuning alone.

How to use it

Give it a video augmentation or labeling request; it uses your videos or defaults to demo footage and stages the results in the workspace.

Uses

Good to know

  • cannot be undone: /srv/sdg/data/vda_inputs; OSMO
  • acts without asking

Latest review

What you need · 7

Requires the OSMO CLI on PATH for workflow submission, monitoring, and data access.

Requires an ONLINE OSMO GPU pool and GPU toleration/selectors in POD_TEMPLATE.


Access · 6

This skill

/srv/sdg/data/vda_inputs

Write

Deletes existing demo MP4 files (irreversible)

OSMO

Execute

Starts GPU video processing workflows

Write

Creates or replaces OSMO credentials (irreversible)