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Releases: Deci-AI/super-gradients

1.5.0

20 Jan 17:26
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What’s new?

  • STDC family - new recipes added with even higher mIoU:muscle:

  • Google Colab notebook for transfer learning / fine-tuning (COCO pre-trained YOLOv5 nano into PASCAL VOC sub dataset) - Check it out in our GitHub repo README.md

  • Factories for yaml string interpolation

1.4.0

16 Jan 09:43
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  • Transfer learning example added for YoloV5.
  • Optional checkpoint root directory path argument added to SgModel.
  • Regnet recipes updated.

1.3.1

06 Jan 17:08
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Checkpoints root directory fix- allowing users to explicitly define checkpoints root directory instead of depriving it from content root.

1.3.0

05 Jan 08:56
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  • Upload to pipy added to ci workflow.
  • Max epochs limitation removed.
  • Post training phase moved before closing loggers

1.2.0

03 Jan 12:50
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  • Added an option to upload any file from the checkpoint dir.
  • Added a new callback phase and calling it on best metric.
  • Automatic GPU mode for training recipes.
  • Readme updates.
  • Sphinx documentation updates.

1.1.0

30 Dec 08:45
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This GitHub Release was done automatically by CircleCI

1.0.1

26 Dec 17:29
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CircleCi - Changed version to 1.0.1

1.0.0

23 Dec 18:59
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CircleCi - Changed version to 0.2.0rc1101

0.1.0

22 Dec 12:47
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-Pretrained classification models with head replacement
-Quickstart notebook added
-Optionally loading EMA net for testing