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Novus Examples
glb23.3 KB

Mesh Decimation GT — Cylinder Dense (GLB)

High-resolution cylinder mesh — the ground truth for scoring a decimation / simplification tool against the low-poly member of this group.

Loading 3D preview…

Specifications

Format
glTF 2.0 binary
Triangles
192
Role
dense ground truth
Shape
cylinder

What is a .glb file?

GLB is the binary form of glTF, packaging 3D scene geometry, materials, textures, animations, and node hierarchy into a single self-contained file. It is optimized for efficient runtime loading and is often called the JPEG of 3D. It is widely used in web, AR, and real-time 3D applications.

How to use this file

Use an example GLB to test glTF loaders, embedded-texture and animation handling, and real-time rendering pipelines in web or game engines.

How to use this file for testing

“Mesh Decimation GT — Cylinder Dense (GLB)” is a deterministic Novus Examples fixture for Mesh decimation testing, Mesh processing QA. A dense ground-truth mesh plus a low-poly simplification of the same shape, with triangle counts recorded — score a decimation / LOD tool by comparing the two.

Documented properties for this file: dense ground truth · glTF 2.0 binary. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.

3D and CAD fixtures carry one small, documented solid or scene. Convert and inspect against the known geometry, units, and structure; format twins let you diff interchange fidelity, and the 3D viewer previews the actual mesh.

Code examples

import trimesh  # pip install trimesh

mesh = trimesh.load("cylinder-dense.glb")
print(mesh.bounds, mesh.faces.shape)

Generated by generation/models_ai.py. Free for any use, no attribution required — license.