🌟 Summary

The v8.3.58 release introduces an update to the YOLO model benchmarking utility for TensorRT, documentation enhancements, and new features to improve usability and performance for developers and users. 🚀🛠️

📊 Key Changes

• TensorRT Model Benchmarking Improvement:
  • Updated benchmarking to use uint8 (integer) input data instead of float32 (decimals) for classification tasks, reflecting real-world input formats.
• Documentation Enhancements:
  • Embedded instructional videos in object counting and model exporting guides for clarity. 🎥
  • Updated integration documentation for YOLO11, replacing mentions of YOLOv8.
• New Training Argument:
  • Added multi_scale training option in documentation for dynamic image sizes during training. 🌈
• Docker Optimization:
  • Added a .dockerignore file to exclude unnecessary files, improving build efficiency and security.

🎯 Purpose & Impact

• Purpose:

  • Optimize benchmarking processes and align input data with typical formats for more accurate performance evaluations during TensorRT model testing.
  • Enhance usability through better instructional resources and accurate documentation for new model versions.
  • Introduce dynamic training options to improve model adaptability for various image sizes.
  • Improve Docker image builds by reducing clutter and improving security. 🔒

• Impact:

  • TensorRT users will benefit from faster and more realistic benchmarks for classification tasks. 🏎️
  • Documentation updates simplify learning and onboarding for both new and advanced users. 📘
  • Developers now have the option to train models across multiple resolutions, potentially enhancing inference accuracy.
  • Docker environments become leaner and more secure, supporting cleaner deployments. 🐋

This release is an essential step forward for developers seeking both practical performance boosts and improved clarity in documentation! 💡

What's Changed

• Add https://youtu.be/K69DUpSBNdA to docs by @RizwanMunawar in https://github.com/ultralytics/ultralytics/pull/18507
• Update yolov8 to yolo11 in tensorrt.md by @RizwanMunawar in https://github.com/ultralytics/ultralytics/pull/18513
• Add multi_scale training argument to docs by @Y-T-G in https://github.com/ultralytics/ultralytics/pull/18531
• Create .dockerignore by @glenn-jocher in https://github.com/ultralytics/ultralytics/pull/18534
• ultralytics 8.3.58 Use uint8 type for TensorRT Profile by @Laughing-q in https://github.com/ultralytics/ultralytics/pull/18327

Full Changelog: https://github.com/ultralytics/ultralytics/compare/v8.3.57...v8.3.58