ultralytics 8.3.247

v8.3.247 - `ultralytics 8.3.247` Improve Ray Tune trial names logged to W&B (#23084)

on Python PyPI

🌟 Summary (single-line synopsis)

Ray Tune + Weights & Biases (W&B) tuning runs now get unique, trial-specific names in Ultralytics 8.3.247, making hyperparameter sweeps much easier to track 🧪📊

📊 Key Changes

• (Priority / Current PR #23084) Ray Tune trials logged to W&B no longer all show up as train 🏷️
  • Saves the original run name before it gets removed from training args
  • Uses Ray Tune’s trial_id to append a unique suffix
  • Naming format: {base_name}_{trial_suffix} (example: my_run_00000) ✅
• Platform/HUB training upload improvements (PR #23105) 🛰️
  • Deduplicates plots by type (avoids repeated uploads/noisy results pages)
  • Downsamples large curve payloads (e.g., PR curves) before upload to reduce size and speed up logging 📉
  • Cleaner console logging with a clearer “Platform:” prefix and a direct “view results” URL 🔗
  • Fewer unnecessary GPU-monitoring warnings (especially on macOS / when CUDA isn’t available) 🧯
• Validation plotting stability fixes (PR #23112, #23093) 🖼️
  • Prevents crashes when predictions are empty (if not preds: return)
  • Removes a redundant bbox slice during bbox format conversion (small cleanup, safer assumptions)
• Export docs: output tensor formats (PR #23057) 📦
  • Adds a clear FAQ section explaining typical output tensor structures for detect/seg/pose exports (ONNX/TensorRT), with pointers to examples
• Docs & code clarity cleanups (PR #23107) 🧹
  • Fixes docstring examples (e.g., Boxes.xywh) and clarifies tensor dimension naming in transformer code

🎯 Purpose & Impact

• Much clearer hyperparameter tuning in W&B 🎛️
  You can now immediately distinguish Ray Tune trials in W&B, matching the local run directory structure—no more “everything is named train” confusion.
• More reliable & efficient experiment logging 🚀
  Plot deduplication + curve downsampling reduces upload noise and payload size, improving the experience when viewing runs in Ultralytics HUB/Platform.
• Fewer training/validation edge-case failures 🧩
  The empty-prediction guard prevents rare but frustrating validation plotting crashes.
• Easier deployment integrations 🔧
  Better export tensor documentation helps anyone writing custom ONNX/TensorRT post-processing pipelines.

What's Changed

• Fix plots logging by @glenn-jocher in #23105
• Add empty preds guard in DetectionValidator.plot_predictions by @raimbekovm in #23112
• Remove redundant bbox slice in plot_predictions by @raimbekovm in #23093
• Add documentation for output tensor format by @raimbekovm in #23057
• Fix documentation and improve code clarity by @raimbekovm in #23107
• ultralytics 8.3.247 Improve Ray Tune trial names logged to W&B by @raimbekovm in #23084

Full Changelog: v8.3.246...v8.3.247