ultralytics/ultralytics v8.2.49

v8.2.49 - `ultralytics 8.2.49` fix classification `setup_model` (#14199)

on GitHub

🌟 Summary

Ultralytics v8.2.49 introduces new documentation and guides for deploying YOLO models on NVIDIA Jetson devices using DeepStream SDK and TensorRT, along with enhancements to existing documentation.

📊 Key Changes

• New Guide: Added a detailed guide for deploying YOLOv8 on NVIDIA Jetson devices using DeepStream SDK and TensorRT.
• Documentation Update: Included additional guides on model deployment practices and model testing.
• Improved Index: Enhanced the 'Guides' index to include the latest documentation updates.

🎯 Purpose & Impact

• Enhanced Capabilities: The new guide empowers users to deploy YOLOv8 models on Jetson devices, maximizing inference performance using NVIDIA's DeepStream SDK and TensorRT. 📈
• Broadened Knowledge Base: Additional guides on best practices for model deployment and testing provide comprehensive insights to improve model performance and reliability. 📚
• User-Friendly: Improved documentation structure makes it easier for users, both new and experienced, to find and utilize resources effectively. 🗂️

What's Changed

• Default strip_optimizer() to use_dill=False by @glenn-jocher in #14107
• Ultralytics Code Refactor https://ultralytics.com/actions by @glenn-jocher in #14109
• Update NVIDIA Jetson DeepStream Guide with YOLOv8 and Jetson Orin Support by @lakshanthad in #14059
• Update FAQ.md by @glenn-jocher in #14134
• Update Results and CFG docstrings by @glenn-jocher in #14139
• Add Docs models pages FAQs by @glenn-jocher in #14167
• Add Model Testing Guide and Best Practices for Model Deployment Guide by @abirami-vina in #14105
• Add https://youtu.be/mUybgOlSxxA to docs by @RizwanMunawar in #14195
• Add FAQ sections to Modes, Tasks, Usage by @glenn-jocher in #14181
• ultralytics 8.2.49 fix classification setup_model by @Laughing-q in #14199

Full Changelog: v8.2.48...v8.2.49