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@deci-services deci-services released this 12 Nov 13:27
· 156 commits to master since this release
3.4.1
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Learn about vigilant mode.

Bugfixes

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

Enhancement:

  • Add class_names to model.predict for detection by @Louis-Dupont in #1529
  • Argument max_batches support to training log and tqdm progress bar. by @hakuryuu96 in #1554
  • Add explanations on experiment management by @Louis-Dupont in #1559
  • Added recipe unifying script by @shaydeci in #1560
  • Added packages to pth checkpoint by @hakuryuu96 in #1581
  • Added sequential assignment capability to PPYoloELoss by @BloodAxe in #1582
  • Add replace in channels by @Louis-Dupont in #1557
  • Add image examples by @Louis-Dupont in #1589
  • Update ptq and qat training by @BloodAxe in #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 #1568

New Contributors

  • @hakuryuu96 made their first contribution in #1546
  • @aler9 made their first contribution in #1548

Contributors

BloodAxe, philmarchenko, and 3 other contributors
Assets 2
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