🌟 Summary

The release of 'v8.3.38' introduces significant enhancements, particularly emphasizing video interaction capabilities through the new SAM2VideoPredictor class for object segmentation and tracking in videos. This update also includes general improvements and optimizations across various modules.

📊 Key Changes

• SAM2VideoPredictor: A new class aimed at enhancing video segmentation and object tracking, supporting advanced interactions such as prompts for segment modifications.
• Improved Video Segmentation: Features non-overlapping masks, better memory management, and support for interactive user prompts.
• Configuration Clean-Up: Removal of obsolete parameters such as label_smoothing.
• Platform Compatibility: Extended detection for NVIDIA Jetson devices, accommodating more models.
• Documentation and Code Updates: Adjustments for improved clarity and accuracy in both code and documentation.

🎯 Purpose & Impact

• 📽️ Enhanced Video Interaction: The SAM2VideoPredictor allows users to fine-tune video processing outputs dynamically, making video segmentation more precise and interactive.
• 🚀 Efficiency & Resource Management: Optimized memory use during video segmentation leads to faster inferencing and resource savings, beneficial for running on resource-constrained devices.
• 🛠️ Code Simplification: Removing unnecessary parameters like label_smoothing helps streamline configuration settings, reducing potential user confusion.
• 📱 Broader Device Support: Updating device compatibility ensures the software is functional across a wider range of hardware, improving the user experience for those utilizing NVIDIA Jetson platforms.
• 📚 Improved User Documentation: Enhanced documentation aids both beginners and advanced users by making it easier to understand and implement model configurations and changes efficiently.

What's Changed

• Delete .github/workflows/codeql.yaml by @glenn-jocher in https://github.com/ultralytics/ultralytics/pull/17772
• Fix RepC3 module for RT-DETR models by @Andrewymd in https://github.com/ultralytics/ultralytics/pull/17086
• Removes unused argument label_smoothing by @Burhan-Q in https://github.com/ultralytics/ultralytics/pull/16014
• Concat all segments by default for multi-part masks by @Y-T-G in https://github.com/ultralytics/ultralytics/pull/16826
• Improve is_jetson to support more Jetson devices by @lakshanthad in https://github.com/ultralytics/ultralytics/pull/17770
• Fix DLA export by @Laughing-q in https://github.com/ultralytics/ultralytics/pull/17765
• Fix CI.md CodeQL badges by @glenn-jocher in https://github.com/ultralytics/ultralytics/pull/17779
• Fix Prettier docs issues by @glenn-jocher in https://github.com/ultralytics/ultralytics/pull/17798
• Convert frames to RGB before SAHI inference by @Y-T-G in https://github.com/ultralytics/ultralytics/pull/17795
• Fix parking points annotator for macOS by @RizwanMunawar in https://github.com/ultralytics/ultralytics/pull/17797
• Fix forward_fuse comment by @arun477 in https://github.com/ultralytics/ultralytics/pull/17714
• ultralytics 8.3.38 SAM 2 video inference by @Laughing-q in https://github.com/ultralytics/ultralytics/pull/14851

New Contributors

• @Andrewymd made their first contribution in https://github.com/ultralytics/ultralytics/pull/17086
• @arun477 made their first contribution in https://github.com/ultralytics/ultralytics/pull/17714

Full Changelog: https://github.com/ultralytics/ultralytics/compare/v8.3.37...v8.3.38