pypi ultralytics 8.3.108
v8.3.108 - `ultralytics 8.3.108` YOLO11 Sony IMX export (#19946)

latest releases: 8.3.123, 8.3.122, 8.3.121...
17 days ago

🌟 Summary

The release of v8.3.108 introduces enhanced support for YOLO11 models, particularly focusing on Sony IMX500 integration for edge AI applications, alongside various improvements in code consistency, documentation, and performance.

📊 Key Changes

  • Sony IMX500 Export for YOLO11:
    • Updated export logic and documentation to support YOLO11 models.
    • Improved validation for supported models during export.
    • Benchmarked YOLO11n on IMX500, showing improved accuracy with a slight increase in inference time.
  • Code Enhancements:
    • Deprecated the crop_fraction parameter for classification transforms, simplifying the codebase.
    • Replaced deprecated NumPy functions with version-aware alternatives for future compatibility.
    • Optimized pose angle calculations using Python's math module.
  • Documentation Updates:
    • Added a comprehensive guide on YOLO data augmentation with visual examples and detailed explanations.
    • Embedded a YouTube tutorial in the project goals guide for better user engagement.
    • Improved formatting and readability across various documentation files.
  • New Example:
    • Introduced an interactive object tracking UI using YOLO models, enabling real-time tracking with features like click-to-track and visual overlays.

🎯 Purpose & Impact

  • Enhanced Compatibility: YOLO11 models can now be exported and deployed on Sony IMX500 hardware, expanding their usability in edge AI scenarios like Raspberry Pi AI Cameras.
  • Improved User Experience: The new data augmentation guide and interactive tracking UI example provide practical tools and insights for both beginners and advanced users.
  • Streamlined Development: Codebase simplifications and compatibility updates ensure smoother workflows and future-proofing for developers.
  • Better Learning Resources: Enhanced documentation and video tutorials make it easier for users to understand and implement YOLO models effectively. 🚀

What's Changed

New Contributors

Full Changelog: v8.3.107...v8.3.108

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