Totalsegmentator

Latest version: v2.1.0

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2.1.0

* Bugfix: add flush to DummyFile
* Require python >= 3.9 in setup.py
* properly add `vertebrae_body` model
* add `--roi_subset_robust` argument
* add `--fastest` argument
* allow `mps` as device (but not supported by pytorch yet)
* add inline python version requirement for `requests` package
* if input spacing same as resampling spacing then skip resampling
* from python api also return nifti with label map in header
* input to python api can be a Nifti1Image object or a file path
* upgrade to `nnunetv2>=2.2.1`
* for `total` task use nnU-Net `step_size=0.8` instead of `0.5` for faster runtime while only decreasing dice by 0.001
* minor edits and bugfixes

2.0.5

* downgrade nnunet to 2.1 to fix bug in `fast` model

2.0.4

* temporary fix of critical bug in `fast` model. Proper fix in next release.

2.0.3

* fix critical bug in `body` task postprocessing: sometimes all foreground removed

2.0.2

* allow more than 10 classes in `--roi_subset`
* bugfix in `appendicular_bones` auxiliary mapping
* in multilable output only show classes selected in `--roi_subset` if selected
* make statistics work with dicom input

2.0.1

* add option `--v1_order` to use the old class order from v1

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