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デザイン · SKILL.md

visualization-and-export

visualization-and-export

Guides Nerfstudio viewer, evaluation, rendering, camera-path, point-cloud, mesh, camera, and Gaussian Splat export workflows from saved config.yml artifacts.

Independent GitHub snapshot · Automated classification · Original documentation governs

スキルの説明

GitHub

name: visualization-and-export description: "Guides Nerfstudio viewer, evaluation, rendering, camera-path, point-cloud, mesh, camera, and Gaussian Splat export workflows from saved config.yml artifacts." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

Visualization and Export

Use this route after a run has a saved config.yml, or when the task asks for viewer, metrics, rendering, point clouds, meshes, camera poses, or Gaussian Splat exports.

What this route covers

  • ns-viewer --load-config CONFIG.yml for visualizing a completed run.
  • ns-eval --load-config CONFIG.yml --output-path metrics.json for average metrics and optional render outputs.
  • ns-render camera path, spiral/interpolated, or dataset rendering command planning.
  • ns-export subcommands: pointcloud, tsdf, poisson, marching-cubes, cameras, and gaussian-splat.
  • Preflight checks for config paths, output locations, remote viewer ports, checkpoint artifacts, normal/depth/RGB output names, and GPU/memory risk.

What this route excludes

  • Data conversion and transforms.json validation: use data-preparation.
  • Training command construction and resume behavior: use training-and-configs.
  • Custom model/dataparser packaging: use api-extension.

Read/run these bundled files

Safe workflow

  1. Locate the saved config.yml from the completed run.
  2. Verify that referenced checkpoint and dataset artifacts still exist.
  3. Choose the output action: viewer, eval, render, or export.
  4. Preflight paths and ports using bundled scripts.
  5. Run the selected command only after confirming GPU/memory/time and output directory expectations.
保存したスキル