Release 0.5.0

Bugfixes

• removed many mutable default arguments [Commit]
• Correctly unload TF in Tests [Commit]
• Split TF-Tests in Graph and Eager Backend [Commit]
• Backend-Checks for Tests (avoid duplicate testing) [Commit]
• Move to new APEX API [Commit]
• Fix Graph-Based Logging [Commit]
• Fix Utils Imports [Commit]
• Move to new Slack API [Commit]
• Fix Travis CI/CD [Commit]
• Fix Config overwrites [Commit]
• Minor type fixes inside the trainer [Commit]](e7294fd)
• Fix Typecheck for Transforms [Commit]
• Config Traversal [Commit]
• Fix logging frequency and timeout [Commit]
• Fix Logging Steps [Commit]

Breaking Changes

• Logging is now done outside the closure
• Metrics are now based on numpy and are calculated the same way for train and val
• Remove trixi dependency [Commit]
• Remove deprecated codeparts (TorchvisionClassificationDataset , train_test_split , Nii3DLazyDataset , Nii3DCacheDataset , [delira.utils.imageops.py](http://delira.utils.imageops.py) , DefaultOptimWrapperTorch , DebugMode Context Manager and the following requirements: scikit-image, pillow, SimpleITK, psutil [Commit]

New Features

• Slack Notificator [Commit]
• Function to seed all backends [Commit]
• Add Callbacks after and before epoch, after and before training and after and before every step (regardless of train and val) [Commit]
• New Custom Data Pipeline (completely replaces the batchgenerators pipeline) for more customization and better integration of our sampling [Commit]
• Register Logger in Callbacks [Commit]
• Onecycle Scheduler Callback [Commit]
• Allow creation of config from system args [Commit]