ultralytics 8.4.9

v8.4.9 - `ultralytics 8.4.9` Hyperspectral CopyPaste augmentation (#23471)

on Python PyPI

🌟 Summary (single-line synopsis)

Ultralytics v8.4.9 improves segmentation CopyPaste augmentation reliability (especially for grayscale/hyperspectral-style single-channel inputs) and strengthens the broader export/training ecosystem with better ExecuTorch + Torch support 🚀🧩

📊 Key Changes

• 🧪 (Priority) Segmentation CopyPaste mask fix in ultralytics/data/augment.py:
  • Builds the contour mask as a 2D (H×W) array instead of matching the full image tensor shape.
  • Draws contours onto a single-channel mask using value 1 (instead of (1,1,1)), avoiding channel mismatches.
• 🧾 Version bump: 8.4.8 → 8.4.9 🔢
• 📦 NDJSON datasets always re-download when using ul://... URIs (instead of silently reusing a cached .ndjson) 🧹⬇️
• ⚙️ ExecuTorch support improvements:
  • Removes the <2.10 PyTorch upper bound in dependencies (Windows still excludes torch==2.4.0) 🔓
  • Centralizes ExecuTorch install checks via check_executorch_requirements() to reduce platform-specific install failures 🧩
• ⚡ Training + compile coverage: CUDA test now trains with compile=True, and stride calculation is simplified for more predictable behavior 🧠🔥
• 📚 Docs refresh: Export docs video updated to a more relevant YOLO26 export/deployment tutorial 🎥

🎯 Purpose & Impact

• 🧩 More robust segmentation augmentation: prevents mask shape/channel bugs that can break or silently degrade CopyPaste-based training—especially when images are single-channel (common in grayscale and some hyperspectral pipelines) 📷✅
• 📈 More reliable segmentation training: fewer augmentation edge cases means smoother training runs and more consistent results 🏋️‍♂️📊
• 🧹 Less “stale dataset” confusion: always refreshing .ndjson metadata helps ensure you train/evaluate on the latest Ultralytics-hosted dataset state when using ul://... 🔄🧪
• 🚀 Better export/inference readiness on modern stacks: improved ExecuTorch requirement handling + Torch 2.10+ compatibility reduces install friction and improves deployment workflows 📦⚙️
• ⚡ Safer compile=True usage: better test coverage helps catch regressions for users relying on PyTorch compile for potential speedups 🧠🛠️

What's Changed

• Always redownload NDJSON datasets by @glenn-jocher in #23458
• feat(executorch): Add support for Torch 2.10 in ExecuTorch requirements and imports and remove torch<2.10 pin by @onuralpszr in #23344
• Add missing type hints to checks.py and dist.py by @ahmet-f-gumustas in #23485
• Add https://youtu.be/KGHYU-MKYeE to docs by @RizwanMunawar in #23463
• Fix training with compile by @Y-T-G in #23479
• refactor: ♻️ Simplify requirement checks for executorch by @onuralpszr in #23475
• ultralytics 8.4.9 Hyperspectral CopyPaste augmentation by @Y-T-G in #23471

Full Changelog: v8.4.8...v8.4.9