v4.0.0-beta.13

CVHub520/X-AnyLabelingv4.0.0-beta.13Jul 12, 2026by github-actions[bot]

AI Summary

This release focuses on resolving compatibility issues with CUDA 12 executable builds across different operating systems and improving the release pipeline by switching to PyPI Trusted Publishing.

Key Highlights

Fixed CUDA 12 compatibility issues on Windows and Linux systems.
Added Linux and Windows CUDA 12 executables to automated releases.
Switched to PyPI Trusted Publishing for Python packages.
Updated release workflow actions to ensure reproducible builds.

New Features

Added Linux and Windows CUDA 12 executables to automated releases.
Published Python packages through PyPI Trusted Publishing.
Updated and pinned release workflow actions for reproducibility.

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