RF-DETR 1.4.2

🚀 Added

• YOLO Support: Update YOLO dataset format support (#74)
• Inference: Support for image URLs in prediction (#629)
• Training:
  • Allow training on custom datasets without test splits when run_test=False (#628)
  • Add custom print-freq argument (#603)

🐞 Fixed

• CLI: Fix error in CLI script (#246)
• Export: Fix RFDETR-Seg ONNX Export failing (#626)
• Training/Validation:
  • Modified misleading num_classes Warnings (#261)
  • Add F1 score assertions and clarify IoU threshold in tests (#596)
• Dependencies: Hotfix: pin transformers dependency to version range >4.0.0, <5.0.0 (#599)

🛠️ Changed / Maintenance

• Synthetic Data: Add synthetic dataset generation module and corresponding tests (#617)
• Benchmarking:
  • Add COCO inference benchmarking tests (#652) and parametrization for multiple model sizes (#661, #662)
  • Add synthetic convergence benchmark test (#638)
• Developer Experience:
  • Replace print statements with logger calls and remove unused imports (#158)
• Refactoring:
  • Separate platform sub-module and migrate to rfdetr_plus package (#645)
• Testing & CI:
  • Stabilize training tests and centralize seed logic with seed_all (#655)
• Docs Formatting: Standardize documentation formatting and enable codespell/mdformat hooks (#634, #635, #637)

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🏆 Contributors

A special welcome to our new contributors and a big thank you to everyone who helped with this release:

• Jirka Borovec (@Borda) (LinkedIn) – Synthetic data generation & COCO benchmarking
• Piotr Skalski (@SkalskiP) (LinkedIn) – Logger refactoring & cleanup
• Omkar Kabde (@omkar-334) (LinkedIn) – Type annotations & custom print arguments
• Damiano Ferrari (@ferraridamiano) (LinkedIn) – Python version management
• Panagiotis Moraitis (@panagiotamoraiti) (LinkedIn) – Fixing misleading warning messages
• Mario De Genaro (@mario-dg) (LinkedIn) – YOLO dataset format updates
• Tahar H. (@taharh) (LinkedIn) – RFDETR-Seg ONNX Export fixes
• Hardik Dava (@hardikdava) – Support for image URLs in predictions
• Alex Holliday (@AHolliday) – Custom datasets without test splits
• Surya (@surya3214) – CLI script bug fixes
• Y. Yang (@y-yang42) – Windowed attention mechanism fix

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Full Changelog: 1.4.1...1.4.2