Release Notes V00.01.00003

May 2020 release, our goal has been on the robustness and reproducibility of the results provided by the repository. For test coverage, we added synthetic binary and gradient datasets in addition to checkerboard dataset and made specific investments to fix any inconsistencies which were made obvious by running these two extra synthetic datasets through the codebase. We further added more stringent metric tests when training and scoring models on checkerboard synthetic dataset, guaranteeing model execution correctness for patch DeconvNet, UNet and SEResNet UNet models. We also replaced default SOTA HRNet model with SEResNet UNet for all experiments.

Enhancements:

• Binary and gradient synthetic testing dataset #318, #333
• Updated documentation to make the repo more user friendly #315, #332
• Colormap support for any number of classes #324
• Replace default HRNet model with SOTA SEResNet Unet #343

Bugfixes:

• Normalization of image and mask save functions #325, #342
• Visualization of the number of classes in image dumps #326
• Fixes for development inside the docker container #335