This GitHub Release was done automatically by CircleCI

This GitHub Release was done automatically by CircleCI

New Features

• Added DistributedSamplerWrapper to automatically wrap non-dist samplers in cases we use dist mode by @NatanBagrov in https://github.com/Deci-AI/super-gradients/pull/1856
• YoloNAS_Pose_Fine_Tuning_Animals_Pose_Dataset by @ofrimasad in https://github.com/Deci-AI/super-gradients/pull/1876
• Introduce fp16 flag to enable/disable mixed precision for predict() by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1881
• Feature/sg 1386 granular control over export in ptq and qat by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1879

Deprecations

• Deprecate tight_box_rotation parameters in COCODetectionDataset by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1786

Improvements

• pycocotools dependency removed by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1791
• Added explicit antialias=False to ensure we can export torchvision Resize to ONNX by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1824
• Updated colab notebook to include line that initializes plugins by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1822
• Feature/sg 000 add note that qat only supports gpu by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1830
• Added more hydra resolvers by @NatanBagrov in https://github.com/Deci-AI/super-gradients/pull/1829
• Added crash tip for the case when SGLogger is None by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1799
• Added YoloNAS-Pose fine-tuning notebook by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1831
• allow flexibility to provide absolute path to annotations by @NatanBagrov in https://github.com/Deci-AI/super-gradients/pull/1840
• fix vulnerabilities by @ofrimasad in https://github.com/Deci-AI/super-gradients/pull/1861
• fix onnx version by @ofrimasad in https://github.com/Deci-AI/super-gradients/pull/1863
• fix tarfile extraction by @ofrimasad in https://github.com/Deci-AI/super-gradients/pull/1868

Bugfixes

• fixed an issue with eval forcing to have a val_dataloader in config by @NatanBagrov in https://github.com/Deci-AI/super-gradients/pull/1823
• Fix typo error in ann_areas vs ann_area attribute by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1828
• Added fixed random seed to not depend of randomness of initialized weights by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1839
• Fixed a wrong color channel order when processing images from webcamera and improved exception message when on MacOS by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1821
• Bugfix by @ofrimasad in https://github.com/Deci-AI/super-gradients/pull/1874
• fix a bug when ploting a dataset with images in a range other than 0-255 by @ofrimasad in https://github.com/Deci-AI/super-gradients/pull/1884
• Fixed speed of COCO dataset parsing by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1888

Other

• Update welcome.md by @ofrimasad in https://github.com/Deci-AI/super-gradients/pull/1790
• Update README.md - voxel51 integration by @Shani-Perl in https://github.com/Deci-AI/super-gradients/pull/1827
• fix vulnerability by @ofrimasad in https://github.com/Deci-AI/super-gradients/pull/1872
• Bug/sg 1247 reoarganize tests by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1789
• Added warning message for dataset license by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1846

Full Changelog: https://github.com/Deci-AI/super-gradients/compare/3.6.0...3.6.1

What's Changed

• Bug/sg 1247 reoarganize tests by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1789
• Update welcome.md by @ofrimasad in https://github.com/Deci-AI/super-gradients/pull/1790
• added crash tip for the case when SGLogger is None by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1799
• Deprecate tight_box_rotation parameters in COCODetectionDataset by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1786
• Added explicit antialias=False to ensure we can export torchvision Resize to ONNX by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1824
• fixed an issue with eval forcing to have a val_dataloader in config by @NatanBagrov in https://github.com/Deci-AI/super-gradients/pull/1823
• Remove pycocotools by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1791
• Update README.md - voxel51 integration by @Shani-Perl in https://github.com/Deci-AI/super-gradients/pull/1827
• Updated colab notebook to include line that initializes plugins by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1822
• Fix typo error in ann_areas vs ann_area attribute by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1828
• Feature/sg 000 add note that qat only supports gpu by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1830
• updated by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1832
• Added more hydra resolvers by @NatanBagrov in https://github.com/Deci-AI/super-gradients/pull/1829
• Added YoloNAS-Pose fine-tuning notebook by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1831
• Added fixed random seed to not depend of randomness of initialized weights by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1839
• Fixed a wrong color channel order when processing images from webcamera and improved exception message when on MacOS by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1821
• allow flexibility to provide absolute path to annotations by @NatanBagrov in https://github.com/Deci-AI/super-gradients/pull/1840
• Feature/sg 000 fix mask decoding by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1835
• Added warning message for dataset license by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1846
• Feature/sg 000 fix yolo nas scores by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1849
• added integration suite to ci by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1847
• fix vulnerabilities by @ofrimasad in https://github.com/Deci-AI/super-gradients/pull/1861
• fix onnx version by @ofrimasad in https://github.com/Deci-AI/super-gradients/pull/1863
• fix tarfile extraction by @ofrimasad in https://github.com/Deci-AI/super-gradients/pull/1868
• added registries by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1862

Full Changelog: https://github.com/Deci-AI/super-gradients/compare/3.6.0...3.6.1

Hey @channel
We're pleased to announce the release of Super-Gradients 3.6.0 🙂 .
This update includes several important changes and improvements:
Changes and Enhancements

• Added segmentation samples and support for albumentation transforms for segmentation, contributed by @shaydeci.
• Implemented distance-based detection matching in DetectionMetrics as an enhancement by @DimaBir.
• New training hyperparameter - finetune, and multiple LR assignment by @shaydeci, read about it here
• Enhanced ImagePermute processing inclusion, by @BloodAxe.
• Improved dataset plotting and plot functionality, by
  @Louis Dupont
  .
• Updated prediction notebooks and documentation, thanks to
  @Louis Dupont
  .
• Supported depth estimation dataset and added depth estimation metrics support, by @shaydeci.
• Proposed an API for checking model input compatibility, by @BloodAxe.
• Extended predict() support for segmentation models, by @BloodAxe.
• Removed deprecated features from version 3.6.0, by @shaydeci.
• Updated pre-trained models badge URL, contributed by @gasparitiago.
• Made changes to PPYoloELoss, removing the requirement for a reg_max parameter, by @BloodAxe.
• Switched to using onnxsim instead of onnx-simplifier for consistency in naming, thanks to @BloodAxe.
  Bugfixes
• Resolved a bug in OhemLoss thanks to @danielafrimi.
• Updated conditions to ensure functionality only on rank 0 where [context.sg](http://context.sg/)_logger is available, by @shaydeci.
• Modified the default set_device value to prevent unintentional launch of DDP, updated by
  @Louis Dupont
  .
• Addressed a bug where multigpu=None with device=cpu wasn't functioning as expected, thanks to
  @Louis Dupont
  .
• Adjusted bounding box thickness and text size relative to bbox size, for object detection model's predict() by
  @Louis Dupont
  .
• Addressed a bug in DetectionMixup that affected YoloXTrainingStageSwitchCallback, by @BloodAxe.
• Corrected a typo in an exception message variable name, by @BloodAxe.
• Reintegrated tests and refined CI/CD workflows, thanks to @shaydeci and @Yonatan-Kaplounov.
• Fixed import issues and improved model flexibility and metrics handling, mainly by @BloodAxe.
• Ensured class names in DetectionDataset are contained within a trivial container, by @BloodAxe.
• Fixed ExtremeBatchDetectionVisualizationCallback for multiscale collate function, by @BloodAxe.
• Several bug fixes and improvements in DistanceBasedDetectionMetrics and DetectionMetrics, by @BloodAxe.
  And various other fixes and improvements across the board to enhance functionality and user experience.
  For a detailed list of changes, refer to the full changelog.
  New Contributors
• Welcome to the contributors' team, @DimaBir, @gasparitiago, and @Yonatan-Kaplounov, for making their first contributions.Hey @channel
  We're pleased to announce the release of Super-Gradients 3.6.0 🙂 .
  This update includes several important changes and improvements:
  Changes and Enhancements
• Added segmentation samples and support for albumentation transforms for segmentation, contributed by @shaydeci.
• Implemented distance-based detection matching in DetectionMetrics as an enhancement by @DimaBir.
• New training hyperparameter - finetune, and multiple LR assignment by @shaydeci, read about it here
• Enhanced ImagePermute processing inclusion, by @BloodAxe.
• Improved dataset plotting and plot functionality, by
  @Louis Dupont
  .
• Updated prediction notebooks and documentation, thanks to
  @Louis Dupont
  .
• Supported depth estimation dataset and added depth estimation metrics support, by @shaydeci.
• Proposed an API for checking model input compatibility, by @BloodAxe.
• Extended predict() support for segmentation models, by @BloodAxe.
• Removed deprecated features from version 3.6.0, by @shaydeci.
• Updated pre-trained models badge URL, contributed by @gasparitiago.
• Made changes to PPYoloELoss, removing the requirement for a reg_max parameter, by @BloodAxe.
• Switched to using onnxsim instead of onnx-simplifier for consistency in naming, thanks to @BloodAxe.
  Bugfixes
• Resolved a bug in OhemLoss thanks to @danielafrimi.
• Updated conditions to ensure functionality only on rank 0 where [context.sg](http://context.sg/)_logger is available, by @shaydeci.
• Modified the default set_device value to prevent unintentional launch of DDP, updated by
  @Louis Dupont
  .
• Addressed a bug where multigpu=None with device=cpu wasn't functioning as expected, thanks to
  @Louis Dupont
  .
• Adjusted bounding box thickness and text size relative to bbox size, for object detection model's predict() by
  @Louis Dupont
  .
• Addressed a bug in DetectionMixup that affected YoloXTrainingStageSwitchCallback, by @BloodAxe.
• Corrected a typo in an exception message variable name, by @BloodAxe.
• Reintegrated tests and refined CI/CD workflows, thanks to @shaydeci and @Yonatan-Kaplounov.
• Fixed import issues and improved model flexibility and metrics handling, mainly by @BloodAxe.
• Ensured class names in DetectionDataset are contained within a trivial container, by @BloodAxe.
• Fixed ExtremeBatchDetectionVisualizationCallback for multiscale collate function, by @BloodAxe.
• Several bug fixes and improvements in DistanceBasedDetectionMetrics and DetectionMetrics, by @BloodAxe.
  And various other fixes and improvements across the board to enhance functionality and user experience.
  For a detailed list of changes, refer to the full changelog.
  New Contributors
• Welcome to the contributors' team, @DimaBir, @gasparitiago, and @Yonatan-Kaplounov, for making their first contributions..

This GitHub Release was done automatically by CircleCI

New features

• A model.predict(video) does not cause OOM anymore by @hakuryuu96 in https://github.com/Deci-AI/super-gradients/pull/1621
• Learning rates can now be specified per-layer (Can now freeze layers or train backbone with lower LR) by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/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 https://github.com/Deci-AI/super-gradients/pull/1605
• Added support of multiple test loaders in train_from_config by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1641

Documentation

• Added documentation for DatasetAdapter by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1591
• Added notebook for adding a custom dataset by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1592
• Added notebooks on segmentation (quick start & transfer learning) by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1634
• Add notebook for fine-tuning YoloNAS with QAT by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1638

Bugfixes

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

New Contributors

• @seunghalee1226 made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1642

Full Changelog: https://github.com/Deci-AI/super-gradients/compare/3.4.1...3.5.0

Bugfixes

• Fix serialization of ListConfig in checkpoint state dictionary by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1534
• Ensure that checkpoint_num_classes is propagated from YAML to model by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1533
• Fixed a bug in YoloNASPose.export() that prevented to export model for BS>1 by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1530
• Check class_id validity in DetectionDataset by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1536
• Fix training_params deprecation by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1542
• Fixing typos and adding extra info to CONTRIBUTING by @hakuryuu96 in https://github.com/Deci-AI/super-gradients/pull/1546
• Remove np.bool which is not supported in latest np versions by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1558
• Fix CSPDarknet53.foward by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1564
• Bugfix of model.export() to work correct with bs>1 by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1551
• Mixed precision automatically changed with warning by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1567
• Updated data-gradients requirement by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1572
• Fixed issue with torch 1.12 where _scale_fn_ref is missing in CyclicLR by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1575
• Fixed issue with torch 1.12 issue with arange not supporting fp16 for CPU device. by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1574
• Reorder operators to ensure Neg operator is not used by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1584
• Updated "What are Recipes and How To Use Them" notebook by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1586
• Update link for "Open in Colab" by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1588
• Added metrics logging to checkpoint and separate yaml file by @hakuryuu96 in https://github.com/Deci-AI/super-gradients/pull/1562
• Fixed bug in ModelWeightAveraging class that led to corrupted model when metric to watch was NaN/Inf by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1598
• Transfer learning classification notebook update by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1587
• Update KD Notebook for classification by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1595
• Fixed bug in COCOPoseEstimationDataset which caused the images or reversed channel order used in predict() by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1609
• Fixed supervisely .get which uses dataset: inside the .yaml file by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1603
• Fixed bug in _pad_image that did not support pad_value=(R,B,G) input by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1599
• Fixed ListConfig in pose estimation dataset classes by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1602
• Enforced check of that all notebooks has matching SG version installed by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1607
• Update README by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1615
• Way to fix bug with validation frequency by @hakuryuu96 in https://github.com/Deci-AI/super-gradients/pull/1601
• Changed key for SegKDLoss by @hakuryuu96 in https://github.com/Deci-AI/super-gradients/pull/1620
• Bump onnx-simplifier version require at least 0.4.3 by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1631

Enhancement:

• Add class_names to model.predict for detection by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1529
• Argument max_batches support to training log and tqdm progress bar. by @hakuryuu96 in https://github.com/Deci-AI/super-gradients/pull/1554
• Add explanations on experiment management by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1559
• Added recipe unifying script by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1560
• Added packages to pth checkpoint by @hakuryuu96 in https://github.com/Deci-AI/super-gradients/pull/1581
• Added sequential assignment capability to PPYoloELoss by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1582
• Add replace in channels by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1557
• Add image examples by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1589
• Update ptq and qat training by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1618
• Added convert_from_recipe script, that converts yaml train_from_config, "recipe style" training script to a "python dictionaries" standalone training script. by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1568

New Contributors

• @hakuryuu96 made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1546
• @aler9 made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1548

New features

• Added convert_recipe_to_code script to convert YAML recipe to self-contained train script by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1568
• Added export_recipe script to convert a YAML recipe to a single big YAML file by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1560
• YoloNAS-Pose by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1611

Improvements

• Added sequential assignment capability to PPYoloELoss by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1582
• Add class_names to model.predict for detection by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1529
• Check class_id validity in DetectionDataset by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1536
• [Improvement] max_batches support to training log and tqdm progress bar. by @hakuryuu96 in https://github.com/Deci-AI/super-gradients/pull/1554
• Reorder operators to ensure Neg operator is not used by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1584
• Feature/sg 1198 mixed precision automatically changed with warning by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1567
• Feature/sg 1053 add explanations on experiment managing by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1559
• Feature/sg 849 add replace in channels by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1557
• Updated "What are Recipes and How To Use Them" notebook by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1586
• Added metrics logging to checkpoint and separate yaml file by @hakuryuu96 in https://github.com/Deci-AI/super-gradients/pull/1562
• Added packages to pth checkpoint by @hakuryuu96 in https://github.com/Deci-AI/super-gradients/pull/1581

Bugfixes

• Fix serialization of ListConfig in checkpoint state dictionary by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1534
• Fixed a bug in YoloNASPose.export() that prevented to export model for BS>1 by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1530
• Ensure that checkpoint_num_classes is propagated from YAML to model by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1533
• Bugfix of model.export() to work correct with bs>1 by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1551
• Fixed bug in COCOPoseEstimationDataset which caused the images or reversed channel order used in predict() by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1609
• Fixed bug in ModelWeightAveraging class that led to corrupted model when metric to watch was NaN/Inf by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1598
• Fixed issue with torch 1.12 where _scale_fn_ref is missing in CyclicLR by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1575
• Fixed issue with torch 1.12 issue with arange not supporting fp16 for CPU device. by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1574
• fixed supervisely .get which uses dataset: inside the .yaml file by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1603
• Fixed bug in _pad_image that did not support pad_value=(R,B,G) input by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1599
• Fix CSPDarknet53.foward by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1564

Other

• Dependency of data-gradients version bumped up to 0.2.2
• Remove np.bool which is not supported in latest np versions by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1558
• Enforced check of that all notebooks has matching SG version installed by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1607
• Fixing typos and adding extra info to CONTRIBUTING by @hakuryuu96 in https://github.com/Deci-AI/super-gradients/pull/1546
• Fix typo in class documentation by @aler9 in https://github.com/Deci-AI/super-gradients/pull/1548

What's Changed

• Fix training_params deprecation by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1542
• Fixed incorrect automatic variable used by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1565
• Update link for "Open in Colab" by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1588
• Feature/sg 1190 transfer learning cls notebook by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1587
• Update KD Notebook for classification by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1595

New Contributors

• @hakuryuu96 made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1546
• @aler9 made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1548

Full Changelog: https://github.com/Deci-AI/super-gradients/compare/3.3.0...3.4.0

Super Gradients 3.3.1

Improvements

• Add class_names to model.predict for detection by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1529
• Data-Gradients dependency bumped to 0.2.2 by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1541
• Check class_id validity in DetectionDataset by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1536
• Fixing typos and adding extra info to CONTRIBUTING by @hakuryuu96 in https://github.com/Deci-AI/super-gradients/pull/1546
• Progress bar during training now respects max_train_batches/max_valid_batches by @hakuryuu96 https://github.com/Deci-AI/super-gradients/pull/1554

Bugfixes

• ListConfig/DictConfig types do not leak into checkpoint state dictionary anymore by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1534
• Migrate usage of np.bool -> bool which is not supported in latest np versions by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1558
• Ensure that checkpoint_num_classes is propagated from YAML files to models.get by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1533
• Fixed detection models export to ONNX bug for batch size > 1 @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1530
• Fix CSPDarknet53.foward by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1564
• Fixed incorrect automatic variable used by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1565
• Fix typo in class documentation by @aler9 in https://github.com/Deci-AI/super-gradients/pull/1548
• Trainer does not crash anymore when using CPU and Automated Mixed Precision is enabled in training params @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1567
• Fixed issue with torch 1.12 where _scale_fn_ref is missing in CyclicLR by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1575
• Fixed issue with torch 1.12 issue with arange not supporting fp16 for CPU device. by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1574

New Contributors

• @hakuryuu96 made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1546
• @aler9 made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1548

Full Changelog: https://github.com/Deci-AI/super-gradients/compare/3.3.0...3.3.1

This GitHub Release was done automatically by CircleCI

What's Changed

• Update yolox_loss.py by @eran-deci in https://github.com/Deci-AI/super-gradients/pull/1265
• Fix documentation link! by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1300
• Addiing more logs to let user know when pretrained_weights is being used, and/or downloaded by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1298
• set HYDRA_FULL_ERROR by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1291
• remove arch_params from logs by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1297
• Make classification models inherit from BaseClassifier by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1314
• Make cache annotation optional by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1332
• Fix class_inclusion_list in DetectionDataset by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1327
• Support for segmentation extreme batch cases by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1282
• Feature/sg 901 extreme batch visualization for object detection by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1339
• Update OD docs with clarified output formats by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1348
• Fix model.get by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1287
• Feature/sg 1059 fix ci by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1350
• Fix datasetparams not showing by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1317
• Fix a bug in implementation of DetectionRGB2BGR.get_equivalent_preprocessing by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1352
• Add utilities to plot datasets to Weights & Biases + Add callback to log validation predictions to Weights & Biases by @soumik12345 in https://github.com/Deci-AI/super-gradients/pull/1167
• DagsHub Logger: Fix unsupported metric formats for MLflow, Add example notebook by @nirbarazida in https://github.com/Deci-AI/super-gradients/pull/915
• New Export API by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1318
• Feature/sg 000 fix predict in pose estimation by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1358
• Add model export tutorial to documentation website by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1362
• fix by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1367
• Feature/sg 000 propagate imagenet dataset params by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1368
• Doc changes by @pranoyr in https://github.com/Deci-AI/super-gradients/pull/1253
• Summarize models, losses & metrics for segmentation by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1354
• Feature/sg 000 fix import of onnx graphsurgeon by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1359
• Feature/sg 1047 predict od with labels by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1365
• Feature/sg 1033 fix yolox anchors by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1369
• version bumped by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1374
• Adding pose estimation to the readme by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1375
• Remove broken link that we can't recover where it was pointing to by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1376
• Segformer swi signed by @Yael-Baron in https://github.com/Deci-AI/super-gradients/pull/1361
• added instructions for extracting bounding boxes by @AkashParua in https://github.com/Deci-AI/super-gradients/pull/1312
• [Adding Fix to Master] Explicitly remove the stride keys from the checkpoint by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1397
• PLFM-3938 Create a code-loading utility in DeciClient by @roikoren755 in https://github.com/Deci-AI/super-gradients/pull/1393
• closing inactive issues by @bit-scientist in https://github.com/Deci-AI/super-gradients/pull/1398
• Feature/sg 1027 checkpoint directory refacto by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1401
• Update doc by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1381
• Feature/sg 1057 add breaking change tests by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1373
• Move device only when needed in predict by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1394
• Feature/sg 1039 add factory doc by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1395
• Fix checkpoint loading with run_id by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1403
• fix bug in convert from recipe by @ofrimasad in https://github.com/Deci-AI/super-gradients/pull/1406
• Feature/sg 907 add yaml explanation by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1422
• Feature/sg 1039 improve recipe explanation by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1404
• Added docs on LR & DDP by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1414
• Update the docs to reflect the variable_setup by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1424
• Hotfix/sg 000 improve breaking change detection with imports by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1420
• Adding docs to clarify required properties in recipe file by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1429
• Only test breaking changes in src + ignoring examples by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1430
• Add deprecate module by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1416
• Fix DDP checkpoint by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1415
• fix regression tests by @ofrimasad in https://github.com/Deci-AI/super-gradients/pull/1408
• Moving changes from master_320 to master by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1428
• Improve Exception when metric_to_watch is wrong by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1437
• Change release filter rule to support rc tagging master_320 and other release branches (#1436) by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1438
• Fix invalid syntax at YOLONAS.md by @Pslydhh in https://github.com/Deci-AI/super-gradients/pull/1441
• Adding a deprecation option into registeries by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1421
• Fix checkpoint doc by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1445
• Updating OD example by adding additional details on customizing metri… by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1449
• Correctly handle Ctrl-C event by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1461
• Update Segmentation.md by @donatoaz in https://github.com/Deci-AI/super-gradients/pull/1464
• Fix Breaking Change Detection on Inheritence by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1458
• Hotfix/sg 000 fix predict loading from np torch by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1419
• Feature/sg 1041 rename object names by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1446
• fixed registry for @register_loss(LabelSmoothingCrossEntropyLoss) by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1475
• Fixed loading preprocessing params from pretrained weights by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1473
• bit-scientist-update-qat_ptq_yolo_nas.md by @bit-scientist in https://github.com/Deci-AI/super-gradients/pull/1440
• Added instructions what to do when PR contains unsigned commits by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1486
• Fixed bug of no saving simplified ONNX file by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1489
• Redirect logs based on env var by @jnccd in https://github.com/Deci-AI/super-gradients/pull/1474
• Fix error with pip _get_installed_distributions by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1494
• Remove target for Detection CollateFN by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1470
• Improve extreme batch visualization callbacks by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1488
• Feature/sg 1147 notebooks in repo by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1493
• A call to _process_collate_fn_params was missing in dataloaders.get. by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1501
• Hotfix/sg 000 fix sigmas by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1503
• tests skipped by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1509
• Feature/sg 1144 new export in quantization by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1511
• Small improvements to utils by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1513
• ExtremeBatchCaseVisualizationCallback now has access to additional_batch_items by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1517
• fixed cyclic lr state dict by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1469
• Introduce sample-centric keypoint transforms by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1492
• Fix YoloNAS on cuda by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1444
• Feature/sg 1172 criterion params removal by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1519
• Squashed changes with YoloNASPose & Loss by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1512
• Feature/sg 000 add adapter by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1471
• Dataset & Visualization callback by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1520
• Hotfix/sg 000 fix integration test by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1525
• Version bump to 3.3.0 by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1524
• Fix/sg 000 comment out gpu tests by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1527
• Fix/sg 000 comment out convert notebooks test by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1528

New Contributors

• @nirbarazida made their first contribution in https://github.com/Deci-AI/super-gradients/pull/915
• @pranoyr made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1253
• @Yael-Baron made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1361
• @AkashParua made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1312
• @bit-scientist made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1398
• @Pslydhh made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1441
• @donatoaz made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1464
• @jnccd made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1474

Full Changelog: https://github.com/Deci-AI/super-gradients/compare/3.1.3...3.3.0

3.2 1 - Minor bugfixes release

TLDR:

• Improvements in docs 📜
• A few fixes in export API without introducing breaking changes 💪

What's Changed

• Update yolox_loss.py by @eran-deci in https://github.com/Deci-AI/super-gradients/pull/1265
• Fix documentation link! by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1300
• Addiing more logs to let user know when pretrained_weights is being used, and/or downloaded by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1298
• set HYDRA_FULL_ERROR by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1291
• remove arch_params from logs by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1297
• Make classification models inherit from BaseClassifier by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1314
• Make cache annotation optional by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1332
• Fix class_inclusion_list in DetectionDataset by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1327
• Support for segmentation extreme batch cases by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1282
• Feature/sg 901 extreme batch visualization for object detection by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1339
• Update OD docs with clarified output formats by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1348
• Fix model.get by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1287
• Feature/sg 1059 fix ci by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1350
• Fix datasetparams not showing by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1317
• Fix a bug in implementation of DetectionRGB2BGR.get_equivalent_preprocessing by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1352
• Add utilities to plot datasets to Weights & Biases + Add callback to log validation predictions to Weights & Biases by @soumik12345 in https://github.com/Deci-AI/super-gradients/pull/1167
• DagsHub Logger: Fix unsupported metric formats for MLflow, Add example notebook by @nirbarazida in https://github.com/Deci-AI/super-gradients/pull/915
• New Export API by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1318
• Feature/sg 000 fix predict in pose estimation by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1358
• Add model export tutorial to documentation website by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1362
• fix by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1367
• Feature/sg 000 propagate imagenet dataset params by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1368
• Doc changes by @pranoyr in https://github.com/Deci-AI/super-gradients/pull/1253
• Summarize models, losses & metrics for segmentation by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1354
• Feature/sg 000 fix import of onnx graphsurgeon by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1359
• Feature/sg 1047 predict od with labels by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1365
• Feature/sg 1033 fix yolox anchors by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1369
• version bumped by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1374
• Bugfix: Fix loading DeciDet models that has anchors keys in state dict. by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1386
• BaseKeypointsDataset now inherits from HasPreprocessingParams by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1380
• Hotfix/sg 000 fix yolox replace head by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1411
• Export API fix: Raise meaningful exception if model has no preprocessing metadata but preprocessing=True by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1413
• Feature/sg 1106 Minor fixes in export api by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1412
• Hotfix/sg 000 Fix support of arbitrary number of heads by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1431
• Version bump to 3.2.1 by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1435
• Change release filter rule to support rc tagging master_320 and other release branches by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1436
• Hardcode release tag filter to master_320 by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1448

New Contributors

• @nirbarazida made their first contribution in https://github.com/Deci-AI/super-gradients/pull/915
• @pranoyr made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1253

Full Changelog: https://github.com/Deci-AI/super-gradients/compare/3.1.3...3.2.1

This GitHub Release was done automatically by CircleCI

What's Changed

• Update yolox_loss.py by @eran-deci in https://github.com/Deci-AI/super-gradients/pull/1265
• Fix documentation link! by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1300
• Addiing more logs to let user know when pretrained_weights is being used, and/or downloaded by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1298
• set HYDRA_FULL_ERROR by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1291
• remove arch_params from logs by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1297
• Make classification models inherit from BaseClassifier by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1314
• Make cache annotation optional by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1332
• Fix class_inclusion_list in DetectionDataset by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1327
• Support for segmentation extreme batch cases by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1282
• Feature/sg 901 extreme batch visualization for object detection by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1339
• Update OD docs with clarified output formats by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1348
• Fix model.get by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1287
• Feature/sg 1059 fix ci by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1350
• Fix datasetparams not showing by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1317
• Fix a bug in implementation of DetectionRGB2BGR.get_equivalent_preprocessing by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1352
• Add utilities to plot datasets to Weights & Biases + Add callback to log validation predictions to Weights & Biases by @soumik12345 in https://github.com/Deci-AI/super-gradients/pull/1167
• DagsHub Logger: Fix unsupported metric formats for MLflow, Add example notebook by @nirbarazida in https://github.com/Deci-AI/super-gradients/pull/915
• New Export API by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1318
• Feature/sg 000 fix predict in pose estimation by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1358
• Add model export tutorial to documentation website by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1362
• fix by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1367
• Feature/sg 000 propagate imagenet dataset params by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1368
• Doc changes by @pranoyr in https://github.com/Deci-AI/super-gradients/pull/1253
• Summarize models, losses & metrics for segmentation by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1354
• Feature/sg 000 fix import of onnx graphsurgeon by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1359
• Feature/sg 1047 predict od with labels by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1365
• Feature/sg 1033 fix yolox anchors by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1369
• version bumped by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1374

New Contributors

• @nirbarazida made their first contribution in https://github.com/Deci-AI/super-gradients/pull/915
• @pranoyr made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1253

Full Changelog: https://github.com/Deci-AI/super-gradients/compare/3.1.3...3.2.0

New features
predict() support for pose estimation (PR: #1142) and classification (PR: #1220)
The possibility to log scalar values with explicit time units associated with it: log losses per step, use TimerCallback that measures and log batch time (PR: #1181)
Support torch compile (PR: #1172)
Class agnostic NMS (PR: #1232)
Allow to compute & log per-class mAP scores (PR: #1238)
Small features
Add batch_size option to predict (PR: #1273)
Allows to pass user-defined target of IoU thresholds without asking user to edit IoUThresholds enum in SG codebase (PR: #1223)
Add DetectionVerticalFlip for bounding box detection augmentation (PR: #1237)
Support the option for multiple ignored indices for segmentation metrics (PR: #1177)
Simpify torch schedulers integration (PR: #1230)
support single output in YoloX NMS (PR: #813)
Compute the best threshold for each class in an efficient manner without added loops (PR: #973)
Bug fix
Hotfix/alg 1470 drop boxes padding by (PR: #1107)
Fix evaluate from recipe by (PR: #1170)
fixed bug of whitespace by (PR: #1173)
Fix collections.Iterable -> typing.Iterable to fix crash in python 3.10 by @BloodAxe in #1178
Fix missing encoding (PR: #1185)
default quantization params set in qat from config (PR: #1192)
Fix mkdirs in checkpoint (PR: #1198)
Fix DEKR’s replace_head & improve repr for keypoints transforms (PR: #1227)
Getting rid of “module.” heritage (PR: #1184)
Fix LayerNorm have a bias parameter attribute but is not instance of torch primitive modules (PR: #1229)
moved exceptions from training (PR: #1260)
Added explicit casting of input in predict pipeline. (PR: #1281)
kd ema model unrwap model fix (PR: #1283)
New Contributors
@allankouidri made their first contribution in #1185
@djm93dev made their first contribution in #1199
@danielafrimi made their first contribution in #1220
@RanZilberstein made their first contribution in #1228
@itaylevy-deci made their first contribution in #973
@LukeAI made their first contribution in #1237
@jorgectf made their first contribution in #1240
@jacobmarks made their first contribution in #1278

What's Changed

• Hotfix/sg 000 fix doc typo rf100 by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/897
• Fixed false-positive warning message by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/886
• Update deprecate -> deprecated by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/906
• Fix not-closed tqdm by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/909
• Update of PoseEstimation model by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/872
• Update the notebooks to install super_gradients==3.1 by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/924
• Fix the bug with YOLONAS of not supporting overriding in_channels by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/923
• Feature/sg 000 no explicit pil by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/908
• Force predictions as list by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/945
• Feature/sg 850 support torch 2.0 by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/944
• Bug/sg 764 wrong ckpt when resuming with external ckpt root dir by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/948
• Fix typo in welcome.html by @eltociear in https://github.com/Deci-AI/super-gradients/pull/941
• Add detection prediction tutorial by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/943
• Update YoloNASQuickstart.md by @avideci in https://github.com/Deci-AI/super-gradients/pull/970
• Fix preprocessing by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/972
• Fix train_loader not initalized properly by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/981
• Fix empty mask in MaskAttentionLoss by @lkdci in https://github.com/Deci-AI/super-gradients/pull/982
• changed requirement by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1002
• Fix convert_to_onnx to correctly handle case when input_shape is None by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/989
• Feature/sg 757 resume for spots by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/870
• Cityscapes AutoLabelling dataset by @lkdci in https://github.com/Deci-AI/super-gradients/pull/1000
• Predict on fused model by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/998
• Proposal of issue template by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1018
• Fix doc by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1019
• Fixed missing encoding (Issue #999) by @T0T4R4 in https://github.com/Deci-AI/super-gradients/pull/1044
• Cache model from platform locally by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1009
• Feature/infra 000 nightly by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1051
• Added CoreML export notebook & method for Apple devices. by @avideci in https://github.com/Deci-AI/super-gradients/pull/1068
• Bug/sg 861 decouple qat from train from config by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1001
• updated contributing.md by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/965
• Draw most likely bbox on top (#1061) by @laszlovandenhoek in https://github.com/Deci-AI/super-gradients/pull/1063
• replace documentation 'onnx' with 'coreml' by @shanibenbaruch in https://github.com/Deci-AI/super-gradients/pull/1074
• Fix deprecated usage of pycocotools by @fcakyon in https://github.com/Deci-AI/super-gradients/pull/1052
• YoloNAS benchmarking tutorial by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1076
• Fix arch_param deprecated by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1084
• fix deprecated naming for stdc by @ofrimasad in https://github.com/Deci-AI/super-gradients/pull/1094
• fix: Plot boxes by @yurkovak in https://github.com/Deci-AI/super-gradients/pull/1097
• Added link to new QAT fine-tuning notebook (YoloNAS) + removed github notebooks by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1100
• Hotfix/sg 000 fix breaking changes in some imports by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1101
• Hotfix/sg 000 dekr weights hotfix by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1102
• Fixed resuming training with DDP when average_best_models=true by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1111
• Update deci-lab-client usage by @roikoren755 in https://github.com/Deci-AI/super-gradients/pull/1047
• Feature/sg 815 fix override dataset params by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1092
• Bug/sg 896 add deprecation for previous breaking changes by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1121
• Actualize pose estimatino zoo. by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1114
• Typo fix in modify_params_for_qat by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1129
• Bug/sg 897 support for min samples with ddp by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1128
• strict_load fixed in recipe default checkpoint_params by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1130
• bump version by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1132
• Update Weights & Biases Integration + Add Prediction Visualization for Object Detection by @soumik12345 in https://github.com/Deci-AI/super-gradients/pull/1010
• Bug/sg 000 fix tests by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1131
• Allow checkpoint_path to be an url (Required for transfer learning) by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1138
• Fix incorrect use of collections.OrderedDict in type annotation by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1141
• Bug/sg 000 merge failure for datasetparams by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1140

New Contributors

• @eltociear made their first contribution in https://github.com/Deci-AI/super-gradients/pull/941
• @T0T4R4 made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1044
• @laszlovandenhoek made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1063
• @fcakyon made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1052
• @soumik12345 made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1010

Full Changelog: https://github.com/Deci-AI/super-gradients/compare/3.1.1...3.1.2

This GitHub Release was done automatically by CircleCI

This GitHub Release was done automatically by CircleCI

Release notes 3.0.9
Features

• Object Detection (Yolox, PPyoloE) predict function on images, videos, GIF, and folders paths. The predict function works out of the box, no need to define pre and post-processing. Both pre and post-processing are taken from the training. Examples here. PR: #815, #804, #807, #829, #845

• Support yolov5 format detection dataset by for YoloX, PPyoloE https://github.com/Deci-AI/super-gradients/pull/847

• Base recipes for PPYoloE and Yolox of RF100 dataset.

• DetectionOutputAdapter tutorial. The DetectionOutputAdapter is a class that converts the output of a detection model into a user-appropriate format.

• Segformer model and recipe

• Predict function on images and videos - taking the pre+post processing from the training recipe.

• QAT&PTQ notebooks

• Added student_adapter feature to KDModule, which lets the user pass a manipulated version of the input to the student model. PR: #820

• Introduce min_samples param to dataloader_params, which repeats the dataset in case its size is smaller than the value of this parameter. PR: #838

Bug fixes:

• Bug Fix wandb logger on resume by @Louis-Dupont in #766

Bug fixes:
Fix the compatibility of ONNX conversion with torch 1.11+
Fix the docker publication
Fix Pre-Prediciton callback override bug
Fix dataloader multiprocessing (for Mac OS and Windows)
Fix strict_load not being passed in evaluate_from_recipe
Resolve many potential circular imports
Correct albumentations import log
Fix incorrect tensor type & device when entire batch has no targets
Fix documentation format in many files

Features:
New documentation for many features (EMA, AMP, QAT, Knowledge-Distillation, Dataloaders, Optimizer, Schedulers…)
Added Lion optimizer
Added registration for SG Logger (to allow custom-defined loggers to be used from YAML)
DDRNet 39 pre-trained segmentation model
Mapillary dataset
RoboFlow100 benchmark and all 100 datasets
QATTrainer for training with QAT
QAT from recipe script
PP-YoloE pre-trained models
Pose Estimation models loss functions
Added Auxiliary heads to Unet
Channel wise distillation
ONNX Simplifier on ONNX conversion
Unet and Loss function for binary segmentation
New Transforms: DetectionPadToSize, DetectionImagePermute
Allow activation factory type to take resolved type as inp
New strict_load mode: key_matching.

What's Changed

• Ci fix context and fail on SG by @ranrubin in https://github.com/Deci-AI/super-gradients/pull/615
• Feature/sg 000 break inner train loop by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/617
• Black on factories and data_interface by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/620
• Apply black on utils by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/619
• Added QARepVGGBlock by @spsancti in https://github.com/Deci-AI/super-gradients/pull/562
• fix default value of max_train_batches, max_valid_batches by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/623
• Hotfix/sg 000 transform backward compatibility by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/622
• Added TestTrainingUtils suite to unit tests by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/621
• Apply black by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/624
• New callbacks API by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/607
• Register crashtips automatically by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/626
• Improve env sanity check to be more robust by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/612
• Add dataset instruction by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/602
• Interpollation crash tip by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/616
• Group env variables by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/618
• Remove unintended print (micro PR) by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/630
• [BLACK PR] apply black on tests by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/633
• Skip CI on .md files - SG side by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/635
• Feature/sg 624 remove avg from model plots by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/629
• Add metadata to average_model by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/625
• Bug/sg 000 update kd train from config by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/638
• Support 1.13 by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/603
• Refactored scheduler callbacks (epoch-based/step-based warmup) by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/568
• Feature/sg 541 auto batch selection by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/628
• Hotfix/sg 000 reduce import loops risk by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/636
• Feature/sg 627 add dev option for DeciClient by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/627
• Fixed id_tensor registry, so reparametrization works when .cuda() is called by @spsancti in https://github.com/Deci-AI/super-gradients/pull/632
• Added new detection transforms that are used in PPYoloE by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/641
• Feature/sg 493 modelnames instead of strings by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/614
• Fix registry exception tip by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/644
• Feature/sg 568 single epoch sanity test for all recipes by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/645
• Feature/sg 634 improve deciclient errors by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/648
• UNet registers by @lkdci in https://github.com/Deci-AI/super-gradients/pull/646
• Mini change in DeciClient use of SG version by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/651
• Feature/sg 573 pose estimation by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/634
• Fix grad clipping stage + upscale gradients before clipping by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/653
• classification regresion tests split into 2 by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/656
• Added AdamW optimizer by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/652
• Losses.md docs by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/658
• fixed num gpus missing arg for ddp compatibility by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/660
• documentation on using configuration files by @ofrimasad in https://github.com/Deci-AI/super-gradients/pull/661
• multi gpu mode explicitly mentioned by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/665
• Hotfix/sg 000 fix regression tests by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/666
• Feature/sg 573 Integrate new EMA decay schedules by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/647
• Hotfix/sg 645 regression tests essential fixes by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/669
• Feature/sg 646 rename logs by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/667
• Feature/sg 644 upload big files properly on end by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/671
• Hotfix/sg 000 temporary mute upload print by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/672
• Bug/sg 000 fix lr function scheduling and add deprecation by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/675
• Feature/sg 600 metrics tutorial by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/673
• apply black formatter to all of "training" directory 2 by @ofrimasad in https://github.com/Deci-AI/super-gradients/pull/678
• apply black formatter to all of "common" directory by @ofrimasad in https://github.com/Deci-AI/super-gradients/pull/676
• apply black formatter to all of "training" directory by @ofrimasad in https://github.com/Deci-AI/super-gradients/pull/677
• Segmentation Readme by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/657
• Add log readme by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/664
• fix by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/681

Full Changelog: https://github.com/Deci-AI/super-gradients/compare/3.0.6...3.0.7

What's Changed

Bugfixes:

• Make WandB logger not ignore tag by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/596
• Add a version variable by @ofrimasad in https://github.com/Deci-AI/super-gradients/pull/552
• Save code renamed to _save_code_lines() in wandb logger by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/601
• Fix master installation by @ofrimasad in https://github.com/Deci-AI/super-gradients/pull/604
• Adding what happens when no rc tag exists by @strelok899 in https://github.com/Deci-AI/super-gradients/pull/610
• Version and readme fix by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/606
• Bugfix/sg 000 release version verify test fix by @ranrubin in https://github.com/Deci-AI/super-gradients/pull/613

Features:

• Feature/sg 521 gpu tests by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/587
• Add a decorator that saves the code to file by @ofrimasad in https://github.com/Deci-AI/super-gradients/pull/589
• Feature/sg 492 fuzzy logic for get param and factories by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/595
• Add model names to Readme.md by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/592
• Feature/sg 456 centralize ddp setup by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/544
• Feature/sg 132 models convert by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/598
• Feature/infra 1481 call integration tests by @ranrubin in https://github.com/Deci-AI/super-gradients/pull/549
• Feature/sg 193 extend output formator by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/561
• Feature/infra 1571 support new orb by @ranrubin in https://github.com/Deci-AI/super-gradients/pull/605
• Feature-OPS-1419_integration-tests-and-docker by @strelok899 in https://github.com/Deci-AI/super-gradients/pull/339
• Export message after success + suffix replacement fix by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/611

New Contributors

• @strelok899 made their first contribution in https://github.com/Deci-AI/super-gradients/pull/591

Full Changelog: https://github.com/Deci-AI/super-gradients/compare/3.0.5...3.0.6