ultralytics 8.3.77

v8.3.77 - `ultralytics 8.3.77` faster YOLOv8-Segment ONNX Runtime example (#19312)

on Python PyPI

🌟 Summary

The YOLOv8 v8.3.77 release introduces a significant performance optimization for ONNX Runtime segmentation models, as well as essential compatibility enhancements and minor fixes. 🚀

📊 Key Changes

• 🚀 YOLOv8-Segment Optimization (ONNX Runtime)

  • Post-processing was drastically improved for both GPU (91.7% faster) and CPU (58.9% faster), resulting in a total inference speedup of up to 32.4%.

• 🔧 Optional thop Dependency Support

  • Made the thop library optional by handling its absence gracefully to avoid errors in environments lacking it.

• 📂 ONNX Export Improvements

  • Streamlined ONNX dynamic model export logic by revising type handling, ensuring better reliability and maintainability.

🎯 Purpose & Impact

• Faster and More Efficient Inference ⚡

  • The optimization of YOLOv8-Segment ONNX Runtime reduces latency significantly, improving user experiences in deployment scenarios where real-time performance is essential.

• Increased Compatibility with Minimal Setups 🤝

  • By making thop optional, the release ensures broader support for systems, including lightweight environments like Conda setups, enhancing user flexibility.

• Improved Developer Experience 🛠️

  • Simplified export logic and code maintainability ensures a more robust development and debugging process for ONNX users.

These updates collectively enhance usability, efficiency, and reliability for YOLOv8 users across diverse applications. 🎉

What's Changed

• Fix dynamic export with YOLO World by @Y-T-G in #19304
• Revert "Fix dynamic export with YOLO World" by @Laughing-q in #19308
• Allow missing thop package by @glenn-jocher in #19314
• ultralytics 8.3.77 faster YOLOv8-Segment ONNX Runtime example by @AdnanEkici in #19312

New Contributors

• @AdnanEkici made their first contribution in #19312

Full Changelog: v8.3.76...v8.3.77