v4.0.0-beta.13

build-with-groq/g1v4.0.0-beta.13Jul 12, 2026by github-actions[bot]

AI Summary

X-AnyLabeling v4.0.0-beta.13 stabilizes the release pipeline by adding Linux and Windows CUDA 12 executables and integrating PyPI Trusted Publishing.

Key Highlights

Added Linux and Windows CUDA 12 executable builds.
Integrated PyPI Trusted Publishing for Python packages.
Validated Windows CUDA 12 artifacts against CUDA 13 libraries.

New Features

Linux and Windows CUDA 12 executables
PyPI Trusted Publishing integration
Automated release workflow updates

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