Assign semantic class and label metadata to USD prims via SemanticsAPI.
npx skills add https://github.com/NVIDIA-Omniverse/ovrtx --skill semantic-labels
Please help me install this Agent Skill. Skill: semantic-labels Source: https://github.com/NVIDIA-Omniverse/ovrtx/tree/main/.agents/skills/semantic-labels Command: npx skills add https://github.com/NVIDIA-Omniverse/ovrtx --skill semantic-labels
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.
Build an inline USD scene, apply SemanticsAPI labels to the target prims, and render to produce SemanticSegmentation and SemanticIdMap outputs.
High-intent search queries and answers about installing and using this skill.
Assign semantic class and label metadata to USD prims using SemanticsAPI to drive semantic segmentation outputs. You apply SemanticsAPI instances to target prims in your composed scene to generate ground-truth annotations.
Preserve source USD assets by using inline root layers and over prims for overrides in a composed scene. This workflow ensures your original files remain untouched while authoring SemanticsAPI data.
Configure RenderProduct outputs specifically for SemanticSegmentation and SemanticIdMap to generate semantic segmentation data. These render products capture the labeled ground-truth data required for training or evaluation.
You can use Python workflows to apply SemanticsAPI labels to runtime-composed USD scenes and inline sublayers. The workflow supports mixed Python and USD environments for labeling objects and generating annotations.
Semantics inheritance affects USD segmentation outputs when applying SemanticsAPI class and label instances to prims. Attention to semantics inheritance is required to ensure consistent semantic segmentation and ground-truth generation across the scene hierarchy.
NVIDIA-OmniverseFlatten USD stages into a single self-contained USD file.
SignmanalSegment arbitrary objects in images using point, box, or mask prompts.
PubCyBerryAssign USD SemanticsAPI labels and classes to scene prims for segmentation workflows.
pmcdowallSegment images into object masks using point, box, or mask prompts.
