pypi ultralytics 8.3.95
v8.3.95 - `ultralytics 8.3.95` New `dockerfile-nvidia-cuda` FROM nvidia/cuda:12.8.1-cudnn-runtime-ubuntu22.04 (#19833)

latest releases: 8.3.99, 8.3.98, 8.3.97...
7 days ago

🌟 Summary

The Ultralytics 8.3.95 release introduces a CUDA-optimized Dockerfile for enhanced GPU support, updates dependencies, and improves documentation and usability across various tools and integrations.

📊 Key Changes

  • New NVIDIA CUDA Dockerfile: Added Dockerfile-nvidia-cuda for optimized YOLO11 training and inference on GPUs.
  • Dependency Updates: Upgraded PyTorch base image to 2.6.0-cuda12.6-cudnn9-runtime and CoreML compatibility to version 8.0.
  • Improved Documentation: Enhanced formatting, added examples, and clarified CLI usage across guides.
  • CLI Syntax Standardization: Ensured array inputs (e.g., classes, kpts) are enclosed in quotes for consistency.
  • YOLOE Documentation Update: Added detailed tips for selecting detection modes.
  • GitHub Banner Update: Redirects to the latest YOLO11 blog for better user engagement.

🎯 Purpose & Impact

  • Enhanced GPU Performance: The new CUDA Dockerfile ensures seamless multi-GPU training and inference, benefiting users with high-performance hardware. 🚀
  • Improved Compatibility: Updates to CoreML and PyTorch ensure support for the latest Python versions and GPU optimizations. 🖥️
  • Better Usability: Documentation improvements and CLI standardization reduce user errors and enhance the overall experience. 📚
  • Future-Proofing: Keeps the project aligned with the latest software advancements, ensuring long-term reliability and efficiency. 🌟

This release is a significant step forward for developers and users leveraging YOLO11 for advanced AI tasks.

What's Changed

Full Changelog: v8.3.94...v8.3.95

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