pypi ultralytics 8.3.100
v8.3.100 - `ultralytics 8.3.100` New `paddlepaddle>=3.0.0` with `*.pdiparams` (#19902)

latest release: 8.3.101
one day ago

🌟 Summary

The v8.3.100 release introduces enhanced support for PaddlePaddle, ensuring compatibility with the latest versions and improving model export functionality. Additionally, it includes updates to documentation, pre-trained model links, and usability improvements for YOLO11 and YOLOE models.


📊 Key Changes

  • PaddlePaddle Integration:
    • Updated support for PaddlePaddle >=3.0.0 in both GPU and CPU environments.
    • Improved model export handling for .json and .pdiparams files.
    • Disabled OBB model inference for Paddle due to a silent error causing mAP drops (issue raised with PaddlePaddle).
  • Documentation Enhancements:
    • Added a new video tutorial for YOLO11 with NVIDIA DeepStream.
    • Updated guides for YOLO11 deployment on Jetson devices.
    • Introduced detailed references for YOLOE's visual prompt capabilities and text encoding models like CLIP and MobileCLIP.
  • Pre-trained Model Updates:
    • All pre-trained model links updated to v8.3.0 for YOLOv8, YOLOv9, YOLOv10, YOLO-NAS, YOLOE, and others.
  • YOLOE Improvements:
    • Prevented unintended modifications to visual prompts during predictions.
    • Enhanced task management to automatically detect segmentation or detection tasks based on the predictor.

🎯 Purpose & Impact

  • Purpose:
    • Ensure compatibility with the latest PaddlePaddle versions and improve export reliability.
    • Provide clearer, updated documentation for easier model deployment and usage.
    • Enhance YOLOE's stability and usability for workflows involving visual prompts and mixed tasks.
  • Impact:
    • 🚀 Improved Compatibility: Users can now leverage PaddlePaddle >=3.0.0 for seamless integration.
    • 📚 Better Documentation: Simplifies deployment and training processes with updated guides and resources.
    • 🔧 Enhanced Usability: YOLOE's improvements reduce errors and streamline workflows for developers.
    • 🎥 User-Friendly Resources: New video tutorials make it easier for users to adopt YOLO11 on NVIDIA platforms.

This release ensures smoother workflows, better compatibility, and an overall improved user experience. 🌟

What's Changed

Full Changelog: v8.3.99...v8.3.100

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