https://github.com/yaak-ai/rbyte
Multimodal datasets for spatial intelligence
https://github.com/yaak-ai/rbyte
ai datasets machine-learning mcap polars pytorch rerun robotics spatial-intelligence tensordict
Last synced: 12 days ago
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Multimodal datasets for spatial intelligence
- Host: GitHub
- URL: https://github.com/yaak-ai/rbyte
- Owner: yaak-ai
- License: apache-2.0
- Created: 2024-08-21T14:56:06.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-02-07T11:38:46.000Z (14 days ago)
- Last Synced: 2025-02-07T12:39:21.969Z (14 days ago)
- Topics: ai, datasets, machine-learning, mcap, polars, pytorch, rerun, robotics, spatial-intelligence, tensordict
- Language: Python
- Homepage: https://yaak.ai/open-source/dev-tools
- Size: 182 KB
- Stars: 23
- Watchers: 1
- Forks: 1
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
README
`rbyte` provides a [PyTorch](https://pytorch.org) [`Dataset`](https://pytorch.org/tutorials/beginner/basics/data_tutorial.html) with [`tensorclass`](https://pytorch.org/tensordict/main/reference/tensorclass.html) samples built from multimodal data
## Installation
```bash
uv add rbyte [--extra ]
```
See `pyproject.toml` for available extras.
## Examples
1. Install required tools:
- [`uv`](https://github.com/astral-sh/uv)
- [`just`](https://github.com/casey/just)
- [`ytt`](https://carvel.dev/ytt/)
2. Clone:
```shell
git clone https://github.com/yaak-ai/rbyte
```
3. Run:
```shell
cd rbyte
just notebook examples/nuscenes_mcap.ipynb
```
## Development
1. Install required tools:
- [`uv`](https://github.com/astral-sh/uv)
- [`just`](https://github.com/casey/just)
- [`ytt`](https://carvel.dev/ytt/)
2. Clone:
```bash
git clone https://github.com/yaak-ai/rbyte
```
3. Run:
```shell
cd rbyte
just setup
```