ultralytics 8.2.39

v8.2.39 - `ultralytics 8.2.39` update `onnxslim>=0.1.31` (#13883)

on Python PyPI

🌟 Summary (v8.2.39 Release)

The latest release v8.2.39 from Ultralytics includes optimizations and updates across various files to enhance the overall functionality and performance.

📊 Key Changes

• Documentation Updates:

  • Updated links across the documentation to use consistent URLs, replacing shortened links with full URLs for better readability and maintenance.
  • Added embedded YouTube video to the SAHI documentation for enhanced user guidance.

• Code Optimization and Fixes:

  • Adjusted layer configurations in yolov8-p6.yaml for more detailed memory and parameter utilization.
  • Refined data augmentation and normalization operations for classification tasks in augment.py.
  • Simplified code structure by replacing multiple += operations with append() for clarity and performance.
  • Updated exporter.py dependencies for ONNX, ensuring compatibility with the latest versions and enhancements in export capabilities.
  • Improved segmentation handling and label generation in converter.py.
  • Enhanced model configuration handling for ROS integration and temporary module management.

🎯 Purpose & Impact

• Improved Documentation:

  • Ensures that users have direct and clear access to resources and guidance, enhancing overall user experience.
  • Video content helps users better understand complex processes visually.

• Enhanced Model Configuration and Exports:

  • Updated dependencies and configuration adjustments ensure that models utilize resources efficiently, improving performance metrics like GFLOPs and parameter counts.
  • Optimized augmentation routines and classification tasks lead to faster and more accurate model training and predictions.

• Code Maintenance and Clarity:

  • Codebase improvements, such as using append() over +=, make the code easier to read and maintain.
  • Better structure and handling of transformations and temporary modules prevent potential runtime errors and streamline development.

These updates collectively ensure that the Ultralytics framework remains robust, user-friendly, and optimal for various AI and machine learning applications. 🚀

What's Changed

• Code refactor https://ultralytics.com/actions by @glenn-jocher in #13844
• ROS Quickstart, fixed code formatting by @ambitious-octopus in #13855
• Replace += with faster list .append() by @Kayzwer in #13849
• Fix ambiguous variable names by @glenn-jocher in #13864
• Add https://youtu.be/tq3FU_QczxE to docs by @RizwanMunawar in #13867
• Update yolov8-p6.yaml with model parameters and GFLOPs by @glenn-jocher in #13862
• Fix HUB link https://ultralytics.com/hub by @glenn-jocher in #13884
• ultralytics 8.2.39 update onnxslim>=0.1.31 by @glenn-jocher in #13883

Full Changelog: v8.2.38...v8.2.39