Releases: Deci-AI/super-gradients
Releases · Deci-AI/super-gradients
1.5.0
1.4.0
- Transfer learning example added for YoloV5.
- Optional checkpoint root directory path argument added to SgModel.
- Regnet recipes updated.
1.3.1
Checkpoints root directory fix- allowing users to explicitly define checkpoints root directory instead of depriving it from content root.
1.3.0
- Upload to pipy added to ci workflow.
- Max epochs limitation removed.
- Post training phase moved before closing loggers
1.2.0
- 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
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