Differences:
- 3d computation of the distance maps, done at the pre-processing time
- Other losses implementation, for comparison
- Example of a multi-class setting (ACDC dataset)
- Improved readme and instructions
- Updated for latest python and pytorch releases
- Removed all remnants from our constrained-cnn works (shared codebase)
- Add colors to the makefile, for improved readability
- More flexible makefiles, that allow separate results folders (through the RD environment variable)
- submodule for the viewer, pointing to https://github.com/HKervadec/segmentation_viewer
- The training recipe now store commit-hash and diff, to track exactly the code version