ultralytics 8.3.67

v8.3.67 - `ultralytics 8.3.67` NMS Export for Detect, Segment, Pose and OBB YOLO models (#18484)

on Python PyPI

🌟 Summary

v8.3.67 introduces Non-Maximum Suppression (NMS) export capability for all YOLO models, including detection, segmentation, pose estimation, and oriented bounding box (OBB) tasks. 🎉

📊 Key Changes

• Added NMS support during export for multiple formats: ONNX, TensorRT, TFLite, TFJS, SavedModel, OpenVINO, and TorchScript 🧩.
• Enabled export-specific NMS for detect, segment, pose, and obb tasks with enhanced options like nms=True.
• Expanded NMS-related functionality in models and exporters, including support for more complex configurations like agnostic or rotated NMS.
• Streamlined model APIs to support embedded NMS using an updated NMSModel wrapper.

🎯 Purpose & Impact

• Purpose:
  • Simplifies deployment pipelines by embedding NMS directly into exported models, removing the need for custom post-processing 🔗.
  • Enhances usability across deployment platforms (e.g., TensorFlow, ONNX, OpenVINO) by integrating NMS into the export pipeline.
• Impact:
  • Significantly improves portability and ease of deployment for real-time applications 🎯.
  • Makes YOLO models more accessible for hardware-accelerated environments like TensorRT and Edge TPU 🚀.
  • Reduces errors and complexity in downstream pipelines by unifying pre/post-processing across tasks.

Overall, this update empowers developers to deploy YOLO models with integrated NMS across a wide variety of frameworks and platforms, making the process faster, more robust, and less error-prone. 🌟

What's Changed

• Update HUB Shared Inference API limits by @sergiuwaxmann in #18850
• Add YOLO_TQDM_RICH environment variable by @glenn-jocher in #18854
• ultralytics 8.3.67 NMS Export for Detect, Segment, Pose and OBB YOLO models by @Y-T-G in #18484

Full Changelog: v8.3.66...v8.3.67