Published January 24, 2024
| Version 3.6.0
Software
Open
Deci-AI/super-gradients: 3.6.0
Authors/Creators
- Shay Aharon
- Louis-Dupont1
- Eugene Khvedchenya2
- oferbaratz
- Ofri Masad
- Kate Yurkova3
- lkdci
- Lotem Fridman4
- Ran Rubin5
- Natan Bagrov
- shairoz-deci
- avideci
- najeeb5
- Borys Tymchenko
- Shani-Perl
- Jonathan Shamir
- Dan Bochman
- Tomer Keren
- hakuryuu96
- roikoren755
- Alexander Zhilko
- eran-deci
- Jacob Marks6
- shanibenbaruch
- danielafrimi
- daniel-deci
- bit-scientist
- Soumik Rakshit7
- fatih cagatay akyon8
- Yonatan Kaplounov
- 1. Deci
- 2. @Deci-AI
- 3. Weizmann Institute of Science
- 4. deci AI
- 5. www.deci.ai
- 6. Voxel51
- 7. @wandb
- 8. @safevideo @ultralytics
Description
What's Changed
- Fix numpy deprecation warning on creating ragged array when using _pad_image by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1632
- Allow setting per-layer learning rates" by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1612
- Add skip_resize for
model.predictby @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1605 - Add documentation for DatasetAdapter by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1591
- Notebooks update by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1634
- Add custom dataset notebook by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1592
- Added support of multiple test loaders in train_from_config by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1641
- Improve LR and WD assignment message on training start by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1639
- [Feature] lazy implementation of video predictions by @hakuryuu96 in https://github.com/Deci-AI/super-gradients/pull/1621
- Add automatic model transition to CUDA if FP16 export is requested 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
- Prevent modification of the input argument (targets) in DetectionVisualization.visualize_batch by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1652
- Fix Data Adapter for Segmentation by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1654
- Add notebook for fine-tuning YoloNAS with QAT by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1638
- New SG version to reflect bugfixes in DG by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1657
- Introduce DetectionSample dataclass by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1635
- Use onnxsim and not onnx-simplifier (Same package but different name) by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1668
- OhemLoss: bug fix by @danielafrimi in https://github.com/Deci-AI/super-gradients/pull/1669
- updated condition to work on rank0 since only for it context.sg_logger exists by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1683
- Segmentation sample + albumentation support for segmentation by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1678
- [Enhancement] Implement Distance-Based Detection Matching in DetectionMetrics by @DimaBir in https://github.com/Deci-AI/super-gradients/pull/1463
- fixed LegacySegmentationTransformMixin docs by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1685
- Change default set_device value, which currently may launch DDP by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1698
- Fix multigpu=None with device=cpu by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1701
- Adjust bbox thickness and text to bbox size by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1687
- Finetune training hyperparameter by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1695
- Bugfixes in DistanceBasedDetectionMetrics and few improvements in DetectionMetrics by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1696
- Ensure that ImagePermute is present in processings by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1702
- Fix ExtremeBatchDetectionVisualizationCallback when multiscale collate fn in use by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1697
- fix dataset plot and improve the plotting by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1686
- Update predict + detection TL notebooks and update makefile/readme by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1637
- Feature/sg 1277 depth estimation dataset support by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1705
- A proposal API for checking the input to be compatible with the model by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1704
- predict() support for segmentation models and more by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1708
- Add pose model by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1593
- Feature/sg 1246 remove deprecations of 3.6.0 by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1714
- Fixed bug in DetectionMixup implementation that prevents YoloXTrainingStageSwitchCallback to work as intended by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1719
- Feature/sg 1277 Depth Estimation Metrics Support by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1709
- Fixed typo in variable name in exception message by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1726
- Fixed pipelines returning ImagesPredictions instead of ImagePrediction for single image by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1724
- Ensure that class names are trivial container in DetectionDataset by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1729
- removed entries from averaged state dict by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1718
- Update pre-trained models badge URL by @gasparitiago in https://github.com/Deci-AI/super-gradients/pull/1728
- PPYoloELoss not does not require reg_max parameter by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1727
- bring the tests back by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1742
- added gha trigger to release and put the unless condition under the same 'when' condition as the release by @Yonatan-Kaplounov in https://github.com/Deci-AI/super-gradients/pull/1744
- Removed leftover albumentations transform from regseg recipe by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1745
- PPYoloECollate to support random_aspect_ratio parameter by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1737
- Feature/sg 1196 fix breaking change test by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1720
- Allow passing additional params to .predict() for detection models by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1738
- Feature/sg 1271 add keypoint aug by @Louis-Dupont in https://github.com/Deci-AI/super-gradients/pull/1710
- Add support for resolving strings in PhaseCallback by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1747
- added albumentations tutorial notebook by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1743
- Improve YoloNAS model flexibility by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1749
- Added albumentations by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1750
- Fixed an issue where itertools.product in PPYoloECollateFN needed list() by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1754
- Fix import issue in convert_recipe_to_code by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1751
- Improve DetectionMetrics implementation to properly handle score_thresholds by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1752
- allow removing
anti_aliasand addingdownsample_modeto update code by @NatanBagrov in https://github.com/Deci-AI/super-gradients/pull/1741 - Fix potential unwanted simplification of ONNX graph when exported model with random weights by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1757
- fixed by casting training params and one hot dtype fixed by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1758
- Added test_enum_factory unit test and fixed implementation of TypeEnumFactory by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1765
- changes logic from only one to exactly one parameter for step lr by @NatanBagrov in https://github.com/Deci-AI/super-gradients/pull/1756
- LR assignement tutorial by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1759
- updated returned dtype from predict by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1748
- Added notebook showing how to use YoloNAS with TensorRT by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1767
- Bugfix/infra 2429 fix ci by @ranrubin in https://github.com/Deci-AI/super-gradients/pull/1778
- Fixes for 3.6.0 release by @shaydeci in https://github.com/Deci-AI/super-gradients/pull/1779
- Bump SG version by @BloodAxe in https://github.com/Deci-AI/super-gradients/pull/1774
New Contributors
- @seunghalee1226 made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1642
- @DimaBir made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1463
- @gasparitiago made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1728
- @Yonatan-Kaplounov made their first contribution in https://github.com/Deci-AI/super-gradients/pull/1744
Full Changelog: https://github.com/Deci-AI/super-gradients/compare/3.4.1...3.6.0
Files
Deci-AI/super-gradients-3.6.0.zip
Files
(185.7 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:2c1fefa06d4fa3ffd9bfd4295c5919c9
|
185.7 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Software: https://github.com/Deci-AI/super-gradients/tree/3.6.0 (URL)