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-0.22.0.tar.gz (31.9 kB view details)

Uploaded Source

Built Distribution

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

rbyte-0.22.0-py3-none-any.whl (51.8 kB view details)

Uploaded Python 3

File details

Details for the file rbyte-0.22.0.tar.gz.

File metadata

  • Download URL: rbyte-0.22.0.tar.gz
  • Upload date:
  • Size: 31.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for rbyte-0.22.0.tar.gz
Algorithm Hash digest
SHA256 da3ecb73ae9d18a3a07096d39784e2fb3eb19b43a9f898014442dc9d158f9c7f
MD5 ad75f45ec3d919c5a7b355bbf683f8c9
BLAKE2b-256 08454be5251b2ae8019c3625af1b6a27c52d2756cbe685919e36d7f8d75918fb

See more details on using hashes here.

Provenance

The following attestation bundles were made for rbyte-0.22.0.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-0.22.0-py3-none-any.whl.

File metadata

  • Download URL: rbyte-0.22.0-py3-none-any.whl
  • Upload date:
  • Size: 51.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for rbyte-0.22.0-py3-none-any.whl
Algorithm Hash digest
SHA256 13add480392a5aa825eb9b4720db09830d824025e140fe13f20d54e5fe21763d
MD5 d0fe64058385f0ac512a84e10bfd890f
BLAKE2b-256 96ebdaf36c277c3622aa1a778c564808940e0a9d856fe1842cf8b7d4f8dcf095

See more details on using hashes here.

Provenance

The following attestation bundles were made for rbyte-0.22.0-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