Stanford bunny (Open3D demo mesh)

pl.load("open3d_bunny") loads this dataset. The Stanford bunny as shipped by open3d.data.BunnyMesh. The file carries no unit; the original scan is in metres (the bunny is about 15 cm long).

import pardesline as pl

ds = pl.load("open3d_bunny")
print(ds.describe())  # roles, frames, units, labels, licence, citation
s = ds[0]
obj = s.mesh  # fetched now, cached under ~/.cache/pardesline/datasets/open3d_bunny

Provenance and licence

Source	open3d.data demo download
Scheme	open3d
Size of the whole source	3 MB
Licence	not a standard licence: see the note
Redistribution	unknown
Licence note	Stanford 3D Scanning Repository: free to use with acknowledgement; commercial use TO CONFIRM with Stanford.
Terms	https://graphics.stanford.edu/data/3Dscanrep/
Cite	Turk G., Levoy M. Zippered polygon meshes from range images. SIGGRAPH 1994.
Samples grouped by	file
Samples listed in the manifest	1

Roles (what each sample contains)

Role	Type	Frame	Units	Labels / layout	Pattern or file
mesh	mesh	Y-up	m		BunnyMesh.ply Triangle mesh

Standardized layout

Files are fetched on first access into the dataset cache and stay in their original format; ds.export(folder) writes every sample as standard files (PLY for points and meshes, MetaImage for volumes and label maps) with a .pardesline.json sidecar carrying frame, units, labels, licence and provenance, plus a manifest for the folder. Label maps become exact surfaces with to_mesh(label=k), DICOM series become one volume, raw arrays are decoded through the layout above.

ds = pl.load("open3d_bunny").take(2)
ds.export("./standardized")        # PLY / MetaImage + sidecars + manifest.json

Algorithms and models that run on it

• mesh roles: mesh.to_points(num_points), mesh.decimate(), mesh.smooth(), mesh.clean(), mesh.to_open3d() ; catalog modules: point_cloud_processing, mesh_processing, voxel_to_mesh, sdf, point_cloud_reconstruction, registration, deformable_registration, point_cloud_segmentation, stereo_3d_reconstruction, lidar_scene_detection, lidar_camera_fusion, features_extraction, collision_detection, pyvista_mesh_processing, pyvista_pointcloud_processing, pyvista_volume_processing, pyvista_analysis

Related

• Datasets catalog · How to download a medical imaging dataset in Python · Add a dataset
• Tags: mesh, demo

_{Generated from src/pardesline/data/manifests/open3d_bunny.json on 2026-10-10.}