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v4.0.0-beta.13

chenglou/pretextv4.0.0-beta.13Jul 12, 2026by github-actions[bot]

AI Summary

This release focuses on fixing CUDA compatibility issues and improving build automation for the X-AnyLabeling project.

Key Highlights

  • Fixed CUDA 12 executable builds and Windows artifact linking
  • Restored Linux release tests and builds
  • Automated cross-platform executable builds
  • Publishing updated via PyPI Trusted Publishing

New Features

  • Bug fixes for CUDA 12 and Linux builds

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