Releases: dsgoficial/pytorch_segmentation_models_trainer
Releases · dsgoficial/pytorch_segmentation_models_trainer
Version 0.13.1
Version 0.13.0
- 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
- Bug fixes on mask building;
- Bug fixes on detection model training.
- New mode on build masks;
Version 0.12.0
- Minor improvements on polygonization methods;
- Inference server added;
Version 0.11.0
- Gradient Centralization added;
Version 0.10.0
- Object Detection added;
- Instance Segmentation added;
Version 0.9.0
- 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
- 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
- Added inference features;
- Improved polygon inference;
Version 0.7.2
- Changed the versions of pytorch and torchvision.