pypi ultralytics 8.3.91
v8.3.91 - `ultralytics 8.3.91` Simplify `tensorflow` installation (#19712)

one day ago

🌟 Summary

The YOLO 8.3.91 release focuses on simplifying TensorFlow installation, enhancing export compatibility for ARM64/Linux platforms, improving dataset handling, and refining documentation and visualization features. 🚀


📊 Key Changes

  • TensorFlow Installation Simplification: Streamlined TensorFlow setup for smoother exports, with updated dependency requirements.
  • Export Enhancements:
    • Improved support for ARM64 and Linux platforms for TFLite and TensorFlow.js exports.
    • Clearer error messages for unsupported configurations.
  • Dataset Handling Improvements:
    • Automatic fallback logic for missing val or test dataset splits.
    • Enhanced logging of image batches during training for better Comet integration.
  • Visualization Updates:
    • Adjusted font sizes in image annotations for better readability.
  • Documentation Updates:
    • Added comparisons between YOLO models (e.g., YOLO11n-seg) and Meta's SAM models, highlighting YOLO's efficiency.
    • Included new social media links (e.g., WeChat) for broader accessibility.

🎯 Purpose & Impact

  • Improved Compatibility: Export processes are now more robust on ARM64 and Linux systems, reducing platform-specific issues. 🛠️
  • Enhanced User Experience:
    • Simplified TensorFlow installation and clearer error messages save users time and effort.
    • Better dataset handling minimizes manual intervention and errors. 🗂️
  • Visualization & Logging:
    • Improved image annotations and logging streamline debugging and training workflows. 📊
  • Documentation Clarity:
    • Performance comparisons help users select the best model for their needs.
    • Expanded social media presence ensures easier access to resources and support. 🌐

This release ensures smoother workflows, better platform support, and improved usability for developers and users alike. 🚀

What's Changed

Full Changelog: v8.3.90...v8.3.91

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