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生産性・共同作業 · SKILL.md

viewers

viewers

Guides gaussian-splatting SIBR remote and real-time viewer build, run, connection, and troubleshooting workflows.

Independent GitHub snapshot · Automated classification · Original documentation governs

スキルの説明

GitHub

name: viewers description: "Guides gaussian-splatting SIBR remote and real-time viewer build, run, connection, and troubleshooting workflows." disable-model-invocation: true metadata: disco-role: operating license: NOASSERTION

Viewers

Use this sub-skill when the task is about the SIBR network viewer, the real-time Gaussian viewer, viewer build commands, optimizer connection settings, navigation, top view, or CUDA/OpenGL interop issues.

Read First

Viewer Types

  • Network/remote viewer connects to a running train.py optimizer over a socket. The optimizer defaults to 127.0.0.1:6009 unless --ip and --port are changed.
  • Real-time viewer loads a trained model directory and renders it interactively using SIBR/OpenGL/CUDA.

Preconditions

  • Python training/rendering setup is handled by ../setup-and-backends/SKILL.md.
  • A trained model for the real-time viewer is produced through ../training/SKILL.md.
  • SIBR viewer binaries must already be downloaded or built; this sub-skill does not assume they exist.

Command Shapes

Remote viewer:

SIBR_remoteGaussian_app --ip 127.0.0.1 --port 6009

Optimizer side:

python train.py -s <scene> --ip 127.0.0.1 --port 6009

Real-time viewer:

SIBR_gaussianViewer_app -m <trained-model>

Use -s <source-scene> if the viewer cannot resolve the model's saved source path.

Boundaries

  • Do not diagnose SIBR internals beyond documented build/run and runtime failure modes unless the user is explicitly editing the SIBR source.
  • Do not treat SIBR viewer success as proof that Python training/rendering metrics work, or vice versa.
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