v4.0.0-beta.13

logto-io/logtov4.0.0-beta.13Jul 12, 2026by github-actions[bot]

AI Summary

This update prioritizes stabilizing CUDA 12 compatibility across Windows and Linux platforms and improves the reliability of automated builds and package publishing.

Key Highlights

Keep CUDA 12 executable builds on compatible ONNX Runtime GPU release
Validate Windows CUDA 12 artifacts do not link against CUDA 13
Add Linux and Windows CUDA 12 executables to automated releases
Publish Python packages through PyPI Trusted Publishing

New Features

Add Linux and Windows CUDA 12 executables to automated releases
Publish Python packages through PyPI Trusted Publishing

Full Release Notes

> PyPI: https://pypi.org/project/x-anylabeling-cvhub/
> Baidu Cloud: https://pan.baidu.com/s/1pgaw02inCvbEgOme9ajDJA?pwd=e528

> [!NOTE]
> Due to compatibility issues across different systems, if the precompiled version doesn’t work properly on your machine, you can try building and running it from source instead. For details, check out the official installation guide and user documentation.

### 🐛 Bug Fixes

- Keep CUDA 12 executable builds on a compatible ONNX Runtime GPU release.
- Validate that Windows CUDA 12 artifacts do not link against CUDA 13 libraries.
- Restore Linux release tests and builds with the required runtime dependencies.

### 🛠️ Improvements

- Add Linux and Windows CUDA 12 executables to automated releases.
- Publish Python packages through PyPI Trusted Publishing.
- Update and pin release workflow actions for reproducible builds.

### 🌟 Contributors

A total of 1 developer contributed to this release.

Thank @CVHub520

**Full Changelog**: https://github.com/CVHub520/X-AnyLabeling/compare/v4.0.0-beta.12...v4.0.0-beta.13