Ultralytics YOLO

🌟 Summary

Ultralytics v8.3.43 introduces vital updates to improve workflow stability, inference flexibility, documentation accuracy, and fix a critical security issue related to PyPI publishing. 🚀

📊 Key Changes

• PyPI Security Fix: Ensures secure publication workflow for the Ultralytics package. 🔒
• Batch Processing: Added a batch parameter to predict() for faster processing of large datasets or videos. 🏎️
• Segmentation Enhancement: Adjusted output handling for segmentation tasks to address class name issues and improve robustness. 🛠️
• Improved Examples: Simplified heatmap and queue management examples for clearer usage. 📖
• Dynamic Benchmarking: Made version control for Raspberry Pi benchmarks easier in docs. 🔄
• YouTube Tutorial Link: Added a direct video link in tutorial.ipynb for enhanced learning. 🎥
• Documentation Updates: Fixed and updated links, added a homepage footer link, and improved accuracy in various docs. 🌐
• Bug Fix: Resolved an integer conversion issue in xyxy2xywhn for accurate results. 🐛

🎯 Purpose & Impact

• Secure Publishing: Protects the integrity of updates published on PyPI, safeguarding against potential threats. ✔️
• Faster Inference: The new batch parameter enables higher throughput, particularly valuable for power users with demanding workloads. 🚀
• Better Segmentation: Improved handling of segmentation workflows reduces errors, enhancing reliability for users working on complex datasets. ✅
• User-Friendly: Clearer examples and accurate docs reduce entry barriers and enhance the learning experience for beginners. 📘
• Streamlined Workflow: Innovations in dependency and workflow management make development and contribution processes smoother for maintainers. 🤝
• Learning Resources: A new tutorial video provides a practical guide to using Ultralytics YOLO models with Colab, bridging knowledge gaps for users. 🎬

This release balances technical fixes and documentation improvements, making it more robust, user-friendly, and secure! 🎉

What's Changed

• Update mkdocs.yml homepage by @glenn-jocher in https://github.com/ultralytics/ultralytics/pull/17924
• Add batch to list of predict() arguments by @Y-T-G in https://github.com/ultralytics/ultralytics/pull/17979
• Add https://youtu.be/ZN3nRZT7b24 to tutorial.ipynb by @RizwanMunawar in https://github.com/ultralytics/ultralytics/pull/17875
• Improve docs for Ultralytics version in benchmarks by @lakshanthad in https://github.com/ultralytics/ultralytics/pull/17925
• ultralytics 8.3.42 update AutoBackend names placeholder by @Laughing-q in https://github.com/ultralytics/ultralytics/pull/17970
• Update CLI message by @RizwanMunawar in https://github.com/ultralytics/ultralytics/pull/18041
• Update functions description by @RizwanMunawar in https://github.com/ultralytics/ultralytics/pull/18050
• Fix np.empty_like function input type by @RizwanMunawar in https://github.com/ultralytics/ultralytics/pull/18049
• ultralytics 8.3.43 PyPI publishing security fix by @glenn-jocher in https://github.com/ultralytics/ultralytics/pull/18052

Full Changelog: https://github.com/ultralytics/ultralytics/compare/v8.3.40...v8.3.43