pypi ultralytics 8.3.92
v8.3.92 - `ultralytics 8.3.92` Fix `single_cls` training cache error (#19739)

22 hours ago

🌟 Summary

The YOLO11 v8.3.92 release focuses on enhancing single-class training functionality, improving compatibility for TensorFlow exports, and refining documentation. These updates aim to provide a smoother user experience and expanded capabilities for diverse use cases. 🚀

📊 Key Changes

  • Single-Class Training Fix: Resolved a cache error during single-class training by updating label processing logic.
  • TensorFlow Export Update: Added ai-edge-litert>=1.2.0 as a dependency for improved TensorFlow model export compatibility.
  • Python Version Check Fix: Corrected version comparison logic for Jetson devices to prevent unnecessary dependency downgrades.
  • Documentation Enhancements: Improved clarity, formatting, and examples across multiple sections, including YOLO11 integration and dataset usage.
  • Customizable Text Colors: Introduced a txt_color parameter for detection result annotations, allowing users to specify RGB text colors.

🎯 Purpose & Impact

  • Improved Training Flexibility: The single-class training fix ensures smoother workflows for users focusing on specific object categories.
  • Enhanced Export Reliability: TensorFlow users benefit from more stable and efficient model exports, especially for edge AI applications.
  • Broader Compatibility: Fixes for Python version checks enhance usability on Jetson devices, avoiding unnecessary compatibility issues.
  • User-Friendly Documentation: Updated guides and examples make it easier for users to understand and utilize YOLO11 features effectively.
  • Customizable Visual Outputs: The new txt_color parameter allows for more professional and adaptable visualizations, aligning with project-specific requirements. 🌈

These updates collectively enhance the usability, flexibility, and professional output of YOLO11, catering to a wide range of user needs. 🌟

What's Changed

New Contributors

Full Changelog: v8.3.91...v8.3.92

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