3.5.0

This GitHub Release was done automatically by CircleCI

New features

• A model.predict(video) does not cause OOM anymore by @hakuryuu96 in #1621
• Learning rates can now be specified per-layer (Can now freeze layers or train backbone with lower LR) by @shaydeci in #1612
• A model.predict can now take skip_resize argument to run forward in the original image resolution (Good for large images & small objects) by @Louis-Dupont in #1605
• Added support of multiple test loaders in train_from_config by @BloodAxe in #1641

Documentation

• Added documentation for DatasetAdapter by @Louis-Dupont in #1591
• Added notebook for adding a custom dataset by @Louis-Dupont in #1592
• Added notebooks on segmentation (quick start & transfer learning) by @shaydeci in #1634
• Add notebook for fine-tuning YoloNAS with QAT by @BloodAxe in #1638

Bugfixes

• Fixed bug in quantized YoloNAS model that let do degraded performance of the exported model by @BloodAxe in #1638
• Fix numpy deprecation warning on creating ragged array when using _pad_image by @BloodAxe in #1632
• Fixed bug in model.export() that led to crash when FP16 export was requested and model was on CPU device by @BloodAxe in #1643
• Fix Invalid syntax at convert_recipe_to_code.py by @seunghalee1226 in #1642
• Fixed bug that lead to incorrect visualization of target bboxes when using DetectionVisualization.visualize_batch by @BloodAxe in #1652
• Fixed bug in Data Adapter for Segmentation task by @Louis-Dupont in #1654

New Contributors

• @seunghalee1226 made their first contribution in #1642

Full Changelog: 3.4.1...3.5.0