Metadata-Version: 2.5
Name: 3lc-compute-plugin-yolo
Version: 0.2.1
Summary: Ultralytics YOLO training plugin for the 3LC compute service.
License-Expression: AGPL-3.0-only
License-File: LICENSE
Requires-Python: >=3.10
Requires-Dist: 3lc-compute-plugin-sdk[shared]<0.3.0,>=0.2.2
Provides-Extra: yolo
Requires-Dist: 3lc-ultralytics>=0.4.0; extra == 'yolo'
Requires-Dist: 3lc[pacmap,umap]<4.0.0,>=3.0.0; extra == 'yolo'
Requires-Dist: torch; extra == 'yolo'
Requires-Dist: torchvision; extra == 'yolo'
Description-Content-Type: text/markdown

# 3lc-compute-plugin-yolo

A [3LC Hub](https://docs.3lc.ai) compute-service plugin for fine-tuning
[Ultralytics YOLO](https://github.com/ultralytics/ultralytics) models on your data, with live
metrics, progress, and experiment tracking in the Hub.

## How it's used

You don't install this yourself. The 3LC Hub provisions the plugin into its own isolated
environment (including the GPU stack) and runs it for you; it then appears in the Hub next to the
built-in tools.

## License

**AGPL-3.0-only.** This plugin links Ultralytics YOLO (AGPL-3.0), so the distributed work is
itself AGPL-3.0. See `LICENSE`.

Ultralytics YOLO is dual-licensed: free under
[AGPL-3.0](https://github.com/ultralytics/ultralytics/blob/main/LICENSE) for open-source-compliant
use, while commercial use beyond those terms requires an
[Ultralytics Enterprise License](https://www.ultralytics.com/license). Ensuring your use is
appropriately licensed is your responsibility.

## Links

- 3LC Hub documentation: <https://docs.3lc.ai>
- Plugin SDK & author guide: <https://3lc-ai.github.io/3lc-compute-plugin-sdk/>
