fix(deps): update dependency ultralytics ( 8.4.68 → 8.4.70 ) - #417

v8.4.70: - Fix DDP AMP broadcast state synchronization (#​24810)

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🌟 Summary

v8.4.70 is a reliability-focused release 🛠️ led by an important fix for multi-GPU training, plus safer checkpoint loading, a plotting fix for segmentation results, and clearer docs around YOLO26 heatmaps, training outputs, and deployment 📚

📊 Key Changes

• 🐛 Fixed DDP AMP synchronization in multi-GPU training in PR #​24810 by @​LZ-QWQ

  • This is the main update in the release.
  • It fixes a bug where AMP mixed-precision training could be disabled on one GPU rank but remain enabled on others during Distributed Data Parallel training.
  • After the fix, all ranks now correctly share the same AMP setting.

• ✅ Safer checkpoint loading with clearer errors in PR #​24857 by @​glenn-jocher

  • Ultralytics now gives a clear, user-friendly error when loading unsupported checkpoint formats, such as plain state_dict files or some older YOLOv5-style module references.
  • This replaces confusing crashes like AttributeError or KeyError.

• 🎨 Fixed Results.plot() for masks-only outputs in PR #​24635 by @​ahmet-f-gumustas

  • Segmentation results that contain masks but no bounding boxes no longer crash during plotting.
  • This helps users working with custom or partial result objects.

• 🔥 Heatmaps guide was rewritten around real tracking use cases in PR #​24815 by @​raimbekovm

  • The documentation now better explains that YOLO26 heatmaps are for object tracking over video, not just generic data visualization.
  • It clarifies real-world uses like traffic flow, crowd movement, and region-based counting.

• 📁 Documented the save_dir training argument in PR #​24831 by @​raimbekovm

  • Users can now more easily understand how to send training outputs to an exact folder without auto-increment behavior.

• 🧩 Small quality-of-life fixes in docs and config

  • Removed an unused region argument from the instance segmentation guide in PR #​24833 by @​raimbekovm
  • Corrected figsize typing to floats in Solutions config in PR #​24832 by @​raimbekovm
  • Fixed doc rendering issues and broken links, including TensorRT quantization docs, in PRs #​24822, #​24856, and #​24858 📘

🎯 Purpose & Impact

• 🚀 More reliable distributed training

  • The AMP/DDP fix is especially important for users training on multiple GPUs.
  • It prevents inconsistent precision behavior across devices, which could otherwise lead to unstable training, debugging headaches, or hard-to-trace performance issues.

• 🛡️ Fewer cryptic failures

  • The checkpoint-loading improvements make model-loading problems much easier to understand.
  • This is especially helpful for users migrating from older formats or using custom-saved weights.

• 🎯 Better support for segmentation workflows

  • The plotting fix makes Ultralytics more robust for segmentation-only results and edge cases.

• 📚 Clearer guidance for real-world YOLO26 usage

  • The heatmaps documentation update makes it easier for a broad audience to understand how YOLO26 can be used for video analytics, such as retail, transportation, and crowd analysis.

• ⚙️ Smoother day-to-day experience

  • While many of the remaining changes are documentation and maintenance updates, they reduce confusion, improve discoverability, and make the platform easier to use overall.

In short: v8.4.70 is mainly a stability and usability release ✅ with the standout improvement being a critical fix for consistent AMP behavior in distributed multi-GPU training.

What's Changed

• Fix TensorRT quantization docs link by @​glenn-jocher in #​24856
• Remove region from instance segmentation guide arguments table by @​raimbekovm in #​24833
• Fix docs content rendering as raw code blocks by @​raimbekovm in #​24822
• Update formatting, headers, and redirects by @​pderrenger in #​24826
• Refactor heatmaps guide with tracking-focused framing by @​raimbekovm in #​24815
• Document save_dir training argument by @​raimbekovm in #​24831
• Fix figsize type annotation in SolutionConfig by @​raimbekovm in #​24832
• Raise clear error for non-Module checkpoints and YOLOv5 models.yolo by @​glenn-jocher in #​24857
• Fix AttributeError in Results.plot() for masks-only results by @​ahmet-f-gumustas in #​24635
• Fix docs workflow PR branch sync by @​glenn-jocher in #​24858
• Fix DDP AMP broadcast state synchronization by @​LZ-QWQ in #​24810

New Contributors

• @​LZ-QWQ made their first contribution in #​24810

Full Changelog: ultralytics/ultralytics@v8.4.69...v8.4.70

v8.4.69: - Allow safe load of checkpoints with getattr (#​24852)

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🌟 Summary

Ultralytics v8.4.69 is a small but important reliability update 🔒 that improves safe checkpoint loading, especially for some YOLO11 and YOLOv8 segmentation, pose, OBB, and classification models.

📊 Key Changes

• 🔐 Safe loading now supports certain getattr references inside checkpoints

  • Some model checkpoints store internal references using getattr, which were previously blocked when safe loading was enabled.
  • This update allows those checkpoints to load correctly without turning off the safety mechanism.

• 🤖 Fixes safe loading for several model types

  • Affects checkpoints used by:
    • YOLO11 segmentation
    • YOLO11 classification
    • YOLO11 pose
    • YOLO11 OBB
    • Similar affected YOLOv8 checkpoint variants

• 🧩 Added restricted support for enum-based references

  • The safe loader now understands certain enum values used in saved checkpoints, such as interpolation settings.

• 🛡️ Still keeps the load process restricted

  • Instead of broadly allowing any getattr use, the change adds a limited internal handler that only permits approved cases.
  • This helps preserve security while improving compatibility.

• 📦 Version bump

  • Package version updated from 8.4.68 to 8.4.69.

🎯 Purpose & Impact

• ✅ Fewer loading/export errors with safe mode enabled

  • Users working with ULTRALYTICS_SAFE_LOAD=1 should now be able to load and export affected checkpoints more smoothly.

• 🔒 Better security without losing usability

  • The goal is to keep safe loading strict, while avoiding unnecessary failures for legitimate Ultralytics model files.

• 🚀 Improves deployment and export workflows

  • This is especially helpful for users exporting models in secure or controlled environments, where safe loading is preferred or required.

• 👥 Good quality-of-life fix for everyday users

  • If you use pretrained segmentation, pose, OBB, or classification checkpoints, this update can reduce friction without changing your training or inference workflow.

• 📌 Low-risk, high-value release

  • There are no major new model architectures or training features here; this release is mainly a stability and compatibility fix with practical impact.

If helpful, I can also provide a one-paragraph changelog version or a more technical developer-focused summary.

What's Changed

• Allow safe load of checkpoints with getattr by @​Y-T-G in #​24852

Full Changelog: ultralytics/ultralytics@v8.4.68...v8.4.69