L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Productivité · SKILL.md

rendering

rendering

Configure robosuite rendering, camera observations, transforms, offscreen capture, domain randomization, and optional USD/Isaac export paths.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: rendering description: "Configure robosuite rendering, camera observations, transforms, offscreen capture, domain randomization, and optional USD/Isaac export paths." disable-model-invocation: true metadata: disco-role: operating license: NOASSERTION

Rendering

Use this sub-skill for rendering and camera-adjacent tasks in robosuite:

  • choose has_renderer vs has_offscreen_renderer
  • select renderer="mujoco" or renderer="mjviewer"
  • request camera RGB, depth, and segmentation observations
  • read and back-project camera transforms
  • record short offscreen videos
  • randomize cameras, lighting, textures, dynamics, and sensor noise
  • follow optional USD / Isaac Sim export paths

Start with:

Bundled helpers:

Do not handle here:

  • ../environments for task setup, horizons, reward flow, and general env creation
  • ../teleoperation for keyboard/SpaceMouse/DualSense capture and teleop video/USD collection
  • ../modeling for camera XML tuning and MJCF camera placement

Core rules:

  1. use_camera_obs=True requires has_offscreen_renderer=True.
  2. Depth observations are normalized; convert them with get_real_depth_map before metric use.
  3. Segmentation observations appear only when camera_segmentations is enabled, with keys like frontview_segmentation_instance.
  4. Set robosuite.macros.IMAGE_CONVENTION = "opencv" before env creation when writing video with imageio or OpenCV-style consumers.
  5. Treat USD/Isaac export as optional and environment-dependent, not as a core verified runtime path.
Skills enregistrées