This release is a pre-release and may not be stable for production use.
nvidia-ncore
A unified data format and library for autonomous vehicle and robotics sensor data.
Features
- Neural Reconstruction - Designed for data-driven neural 3D reconstruction and simulation applications
- Data Format - Canonical and extensible component-based data format optimized for efficient training
- Sensor Models - GPU-accelerated Camera and LiDAR intrinsic models
- Converters - Transform external datasets into a common representation
Installation
pip install nvidia-ncore
Documentation
1 maintainer
Metadata
1 maintainer
Release files for nvidia-ncore 20.0.0b1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| nvidia_ncore-20.0.0b1-py3-none-any.whl | Python 3 | none | any | Details for nvidia_ncore-20.0.0b1-py3-none-any.whl |
Release files / nvidia_ncore-20.0.0b1-py3-none-any.whl
| Download URL | nvidia_ncore-20.0.0b1-py3-none-any.whl |
|---|---|
| Size | 169.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
259153723bf0ccd1884c9c3a260c493f88c49603926dd4975dbfcbfabf92f9b2
|
|
BLAKE2b-256 checksum How to use checksums |
a4c382850074ca38d04c8dd5d5e5b7ea92c41e2d95064ce217f63340645bd228
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.11
|
Security for nvidia-ncore 20.0.0b1
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.
