Skip to main content
Archived

This project has been archived by its maintainers, and is no longer receiving any updates.

Omniverse Gaussian Splat Converter

A pip-installable Python package for converting 3D Gaussian Splat data (PLY and SPZ formats) to USD using the ParticleField3DGaussianSplat schema.

Installation

pip install gsplat2USD

For USD support (if not already installed):

pip install gsplat2USD[usd]

Building From Source

The converter package lives in source/python and builds with standard Python packaging tools.

Use Python 3.11 or 3.12. Python 3.10 is not compatible with the pinned numpy==2.3.1 dependency.

cd source/python
python -m pip install --upgrade pip build
python -m build

The build writes both source and wheel distributions to dist/:

dist/gsplat2usd-<version>.tar.gz
dist/gsplat2usd-<version>-py3-none-any.whl

Replace <version> with the package version generated by your build.

To install and smoke test the local source tree:

python -m venv .venv
source .venv/bin/activate  # Windows PowerShell: .\.venv\Scripts\Activate.ps1
python -m pip install ".[usd]"
python -m gsplat2USD --help
python -m gsplat2USD -i input.ply -o output.usda

You can also test the built wheel directly:

python -m pip install "dist/gsplat2usd-<version>-py3-none-any.whl[usd]"
gsplat2USD -i input.ply -o output.usda

Usage

Command Line

# Convert a PLY file to USDZ
gsplat2USD -i input.ply -o output.usdz

# Convert an SPZ file to USDA with Z-up axis
gsplat2USD -i input.spz -o output.usda --up-axis Z

# Generate spherical harmonics and scales from raw PLY
gsplat2USD -i input.ply -o output.usdz --generateSh --generateScales

You can also run via python -m:

python -m gsplat2USD -i input.ply -o output.usdz

Python API

from gsplat2USD import read_ply, read_spz, write_gaussian_splat_usd

# Read a PLY file
splat_data = read_ply("scene.ply")

# Write to USD
write_gaussian_splat_usd(splat_data, "scene.usdz", source_file="scene.ply")

# Read an SPZ file
splat_data = read_spz("scene.spz")

# Write to USD with options
write_gaussian_splat_usd(
    splat_data,
    "scene.usda",
    source_file="scene.spz",
    up_axis="Z",
    rotation_degrees=(90.0, 0.0, 0.0),
)

Metadata

Release files for gsplat2USD 0.1.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for gsplat2USD 0.1.5
File Interpreter ABI Platform Actions
gsplat2usd-0.1.5-py3-none-any.whl Python 3 none any Details for gsplat2usd-0.1.5-py3-none-any.whl

Release files / gsplat2usd-0.1.5-py3-none-any.whl

Download URL gsplat2usd-0.1.5-py3-none-any.whl
Size 20.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ef3e6586123ec6c040dec728109d17232e213b354077cbb9677d29e0891f6198
BLAKE2b-256 checksum
How to use checksums
f28121289eab5c37ba011a3fcf38ffceac7597c18e1dfcb404c7296a2fa1bd58
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.14.4

Security for gsplat2USD 0.1.5

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page