semantic-labels
OfficialLabel USD scenes with precise semantics.
AuthorNVIDIA-Omniverse
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Assigning consistent semantic class and label metadata to USD prims is essential for reliable semantic segmentation and ground-truth generation. This Skill provides a repeatable workflow to author SemanticsAPI data and produce labeled outputs for rendering.
Core Features & Use Cases
- Apply SemanticsAPI class and label instances to prims to drive semantic segmentation.
- Preserve source assets by using inline root layers and over prims in a composed scene.
- Generate SemanticSegmentation and SemanticIdMap outputs on a RenderProduct for training or evaluation.
Quick Start
Build an inline USD scene, apply SemanticsAPI labels to the target prims, and render to produce SemanticSegmentation and SemanticIdMap outputs.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: semantic-labels Download link: https://github.com/NVIDIA-Omniverse/ovrtx/archive/main.zip#semantic-labels Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 510,000+ vetted skills library on demand.