camera-outputs-rt2

Identify available RT2 camera outputs and recommended readback methods.

201|25|Updated Dec 18, 2025
One-click install
npx skills add https://github.com/NVIDIA-Omniverse/ovrtx --skill camera-outputs-rt2
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: camera-outputs-rt2
Source: https://github.com/NVIDIA-Omniverse/ovrtx/tree/main/.agents/skills/camera-outputs-rt2
Command: npx skills add https://github.com/NVIDIA-Omniverse/ovrtx --skill camera-outputs-rt2

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill guides users to identify the available Real-Time Path-Tracing (RT2) camera outputs and how to read them, enabling efficient inspection of rendered data such as depth, normals, albedo, and color.

Core Features & Use Cases

  • Output discovery and mapping: enumerates the RT2 RenderVar options and demonstrates how to link them to data tensors for Python or C readback.
  • Readback guidance: provides recommended workflows for reading selected outputs and integrating results with USD authoring when needed.
  • Use Case: a developer validating scene geometry and shading by examining depth and normal outputs during RT2 rendering.

Quick Start

Query the available RT2 camera outputs and read the LdrColor to obtain a quick color view.

Frequently Asked Questions about camera-outputs-rt2

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What RT2 camera outputs are available for readback in Omniverse?

Available RT2 camera outputs for readback in Omniverse include depth, normals, albedo, and color. The skill enumerates these RenderVar options and maps them to data tensors to guide your selection for rendering inspection.

How do I read depth and normal data from an Omniverse RT2 camera?

To read depth and normal data from an RT2 camera, you select the appropriate RenderVar mappings and use the recommended Python or C readback workflows. This preserves data formats, shapes, and dtypes during RenderProduct configuration.

Can I use Python to get LdrColor readback for an RT2 camera render?

Yes, you can use Python to obtain LdrColor readback for an RT2 camera render. Querying the available RT2 camera outputs and reading LdrColor provides a quick color view for validating scene geometry and shading.

Does reading RT2 camera outputs conform to specific rendering constraints?

Reading RT2 camera outputs conforms to RT2 rendering constraints by preserving data formats, shapes, and dtypes. This ensures accurate RenderVar mappings and RenderProduct configuration during the readback process.

How do I integrate RT2 camera readback with USD authoring?

You integrate RT2 camera readback with USD authoring by selecting outputs like depth, normals, albedo, or color and applying the recommended readback workflows. This guides the process of reading data tensors and authoring them into USD.