Skip to main content

Multimodal PyTorch dataset library

Project description

banner

rbyte provides a PyTorch Dataset with tensorclass samples built from multimodal data

Installation

uv add rbyte [--extra <EXTRA>]

See pyproject.toml for available extras.

Examples

  1. Install required tools:
  1. Clone:
git clone https://github.com/yaak-ai/rbyte
  1. Run:
cd rbyte
just notebook examples/nuscenes_mcap.ipynb

Development

  1. Install required tools:
  1. Clone:
git clone https://github.com/yaak-ai/rbyte
  1. Run:
cd rbyte
just setup

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rbyte-0.9.0.tar.gz (29.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

rbyte-0.9.0-py3-none-any.whl (49.0 kB view details)

Uploaded Python 3

File details

Details for the file rbyte-0.9.0.tar.gz.

File metadata

  • Download URL: rbyte-0.9.0.tar.gz
  • Upload date:
  • Size: 29.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for rbyte-0.9.0.tar.gz
Algorithm Hash digest
SHA256 7d881835a5bd2dfbfb9564b15b5a3be61e00c04a79c083067f9713375d68784d
MD5 dae5486781974f59ceab3de58b04b174
BLAKE2b-256 0d0c26c5206c752856bcec5e1ca8d7d3442175eb3415a5c8aae4608aef166ff3

See more details on using hashes here.

Provenance

The following attestation bundles were made for rbyte-0.9.0.tar.gz:

Publisher: release.yaml on yaak-ai/rbyte

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file rbyte-0.9.0-py3-none-any.whl.

File metadata

  • Download URL: rbyte-0.9.0-py3-none-any.whl
  • Upload date:
  • Size: 49.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for rbyte-0.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 5e163a4e53b4f3f9929284653454ae89ab34b1447e169cb7df9f847643fa6c89
MD5 f6e500ff28083476852322465db2971a
BLAKE2b-256 41697c5ecd9af5e01c99c64c2abdac21700953507542a98485dd3c843d3c423f

See more details on using hashes here.

Provenance

The following attestation bundles were made for rbyte-0.9.0-py3-none-any.whl:

Publisher: release.yaml on yaak-ai/rbyte

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page