chore(deps): update ultralytics requirement from >=8.4.66 to >=8.4.82

[dependabot]

Updates the requirements on ultralytics to permit the latest version.

Release notes

Sourced from ultralytics's releases.

v8.4.82 - Fix Axelera export deleting its output when run from the model directory (#24965)

🌟 Summary

🔧 v8.4.82 is mainly a stability and usability release focused on fixing YOLO26 Axelera export issues, improving classification RAM caching, and tightening several training/data handling edge cases.

📊 Key Changes

• 🚀 Major fix for YOLO26 Axelera exports

  • Fixed a bug where Axelera export could accidentally delete its own output files when run from the model’s directory.
  • This was the key issue behind failed exports showing errors like “output model too small” even when compilation had actually succeeded.
  • The fix now uses a safer temporary compile folder and adds export serialization to avoid conflicts from shared process state.

• 🔄 Axelera export behavior restored for end2end=False

  • A temporary restriction added in the previous change was removed.
  • YOLO26 Axelera exports can again work with end2end=False where supported, avoiding unnecessary breakage in existing workflows such as Ultralytics Platform jobs.

• 🧠 Classification cache='ram' re-enabled with a memory-safe design

  • Classification training can now use RAM caching again without the previous memory growth problem.
  • Images are decoded once into a shared memory buffer instead of being copied separately into each worker.

• 🛑 Training now fails fast when all labels are empty

  • If a detection dataset has no usable labels at all, training now stops immediately with a clear error instead of just warning and failing later in confusing ways.

• 🖼️ Image format support cleanup

  • Added proper fallback loading for .heif images.
  • Removed the invalid .jpeg2000 extension from supported image format lists.

• 🧹 Python reliability improvements

  • Fixed several mutable default argument definitions across metrics, TAL, augmentations, YOLOE, and SAM-related code.
  • These bugs were subtle, but could cause shared state to leak across calls in long-running sessions.

• 📚 Docs and workflow polish

  • Clarified stream=True behavior in predict mode.
  • Documented MLFLOW_KEEP_RUN_ACTIVE for MLflow users.
  • Updated citations for YOLOv7, YOLOv9, YOLOv10, and YOLO12 docs.
  • Simplified Slack release/CI notifications for cleaner team alerts.

🎯 Purpose & Impact

• ✅ More reliable Axelera exports for YOLO26

  • This is the most important change in the release.
  • Users exporting YOLO26 models for Axelera hardware should see far fewer mysterious export failures, especially in automated or isolated environments like the Ultralytics Platform.

• ⚙️ Safer production workflows

  • The Axelera fix prevents exported models from being silently removed during cleanup.
  • That means more dependable deployment pipelines and less debugging time.

• 💾 Better memory efficiency for classification training

  • Re-enabling RAM caching can improve training speed while avoiding the old worker duplication problem.
  • This is especially helpful for users training classification models on larger datasets.

• 🧪 Earlier and clearer failure signals

  • Catching all-empty labels at the start helps users fix dataset problems right away instead of encountering vague downstream errors later.

... (truncated)

Commits

• 67c7ab1 Fix Axelera export deleting its output when run from the model directory (#24...
• 36bf9dd Simplify Slack notification messages (#24964)
• 97a8783 Fix classification cache='ram' leak via shared memory tensor (#24670)
• 2fbd693 Refactor comments in tests/init.py for clarity (#24651)
• a57698c Drop phantom jpeg2000 extension and fix heif loader fallback (#24594)
• b768e8a docs: clarify stream=True behavior (#24657)
• 9768b12 docs: update YOLOv7, YOLOv9, YOLOv10 and YOLO12 citations (#24501)
• bd54d04 Docs: document MLFLOW_KEEP_RUN_ACTIVE env var for MLflow integration (#24602)
• b55ab08 Restore fail-fast when training labels are all empty (#24562)
• 941fa77 Fix mutable default args in augment, YOLOE, and SAM (#24630)
• Additional commits viewable in compare view

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