Released versions
| Version | MD5 |
|---|---|
| X-AnyLabeling-CPU.exe | 45a12c6784b917e5a9a498c4739ca227 |
| X-Anylabeling-Linux-CPU | c498c2e5e01d4989c23375c94bc4f6ff |
Note
For GPU acceleration and the macOS version, please consult the guide at this link.
If you need to use the following advanced features, please refer to the corresponding documentation to install additional dependencies.
- Video object tracking based on Segment-Anything-2: Installation Guide
- Object proposal generation based on UPN or open_vision model: Installation Guide
- Interactive visual-text prompting for generic vision tasks: Installation Guide
Important updates
- 🚀 feat(model_zoo): Add YOLOv8-SAM2.1 instance segmentation model support by @CVHub520 in be503eb
- 🐛 fix(label_widget): Improve canvas painting state management during image processing by @CVHub520 in 323580b
- 🐛 fix(label_converter): reset pose_data for each new image in pose mode to ensure correct annotation handling (#791) by
@CVHub520 in 29ba84e - 📝 docs: Add guide for selecting all annotation shapes (#759) by @CVHub520 and @aiyou9
in 62542ba - 🗑 chore: Remove YOLOv8-EfficientViT-SAM model support as it has been superseded by YOLOv8-SAM2 by @CVHub520 in 592cacf
Full Changelog: v2.5.3...v2.5.4
Contributors
aiyou9 and CVHub520