This is the Linux app named UCO3D whose latest release can be downloaded as uco3dsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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UCO3D
DESCRIPTION
uCO3D is a large-scale 3D vision dataset and toolkit centered on turn-table videos of everyday objects drawn from the LVIS taxonomy. It provides about 170,000 full videos per object instance rather than still frames, along with per-video annotations including object masks, calibrated camera poses, and multiple flavors of point clouds. Each sequence also ships with a precomputed 3D Gaussian Splat reconstruction, enabling fast, differentiable rendering workflows and modern implicit/point-based modeling experiments. The repository includes automated downloaders with checksum verification, fine-grained controls to fetch only selected modalities or super-categories, and a lightweight Python API for loading frames, geometry, and splats on demand. Metadata is indexed in SQLite for quick queries at scale, and helper builders handle alignment, undistortion, frame extraction from videos, and cropping around the object.
Comment ça marche
- ~170k turn-table videos across ~1000 LVIS categories grouped into 50 super-categories
- Rich per-sequence annotations: segmentation masks, camera poses, and three point cloud types
- Precomputed 3D Gaussian Splat reconstructions for every sequence
- Download by modality and/or super-category to control storage footprint
- Python API with frame-level loading from videos, builders for alignment and cropping, and utilities for splat rendering
- SQLite metadata and subset list files for scalable queries, train/val splits, and custom set creation
Langage de programmation
Python
Catégories
This is an application that can also be fetched from https://sourceforge.net/projects/uco3d.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
