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Releases: dsgoficial/pytorch_segmentation_models_trainer

Version 0.13.1

18 Oct 21:42
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What's Changed

Full Changelog: v0.13.0...v0.13.1

Version 0.13.0

16 Oct 11:12
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  • Dataset conversion added. It is possible to convert between some formats of dataset;
  • Tversky Loss and Focal Tversky Loss added;
  • LabelSmoothingLoss added;
  • MixUpAugmentationLoss added;
  • KnowledgeDistillationLoss added;
  • Mixup augmentation added to Frame Field Model;

Version 0.12.1

06 Oct 17:30
0a9b5f3
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  • Bug fixes on mask building;
  • Bug fixes on detection model training.
  • New mode on build masks;

Version 0.12.0

25 Sep 19:22
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  • Minor improvements on polygonization methods;
  • Inference server added;

Version 0.11.0

24 Aug 17:49
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  • Gradient Centralization added;

Version 0.10.0

17 Aug 23:54
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  • Object Detection added;
  • Instance Segmentation added;

Version 0.9.0

04 Aug 00:35
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  • PolygonRNN model added;
  • Added the option of choosing the number of images on ImageCallback;
  • Added the option of adding created masks to existing csv;
  • Added the option of generating bounding boxes in create masks;
  • Added the option of converting csv dataset to coco dataset;

Version 0.8.1

20 Jul 20:56
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  • Minor improvements and bug fixes on polygon building inference;
  • Bug fixes on mask builder;
  • Performance improvement on mask builder using coco format;

Version 0.8.0

19 Jul 22:02
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  • Added inference features;
  • Improved polygon inference;

Version 0.7.2

14 Jul 14:11
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  • Changed the versions of pytorch and torchvision.