```
Traceback (most recent call last):
File "/home/i/Downloads/Slicer-5.4.0-β¦linux-amd64/bin/Python/slicer/util.py", line 3146, in tryWithErrorDisplay
yield
File "/home/i/Downloads/Slicer-5.4.0-linux-amd64/slicer.org/Extensions-31938/TotalSegmentator/lib/Slicer-5.4/qt-scripted-modules/TotalSegmentator.py", line 271, in onApplyButton
self.logic.process(self.ui.inputVolumeSelector.currentNode(), self.ui.outputSegmentationSelector.currentNode(),
File "/home/i/Downloads/Slicer-5.4.0-linux-amd64/slicer.org/Extensions-31938/TotalSegmentator/lib/Slicer-5.4/qt-scripted-modules/TotalSegmentator.py", line 790, in process
self.readSegmentation(outputSegmentation, outputSegmentationFile, task)
File "/home/i/Downloads/Slicer-5.4.0-linux-amd64/slicer.org/Extensions-31938/TotalSegmentator/lib/Slicer-5.4/qt-scripted-modules/TotalSegmentator.py", line 864, in readSegmentation
labelValueToSegmentName = class_map[task]
KeyError: 'bones_extremities'
```
Using CPU only on Fedora. Reproduce is as usual: selected bones extremities, create new segmentation on apply, then clicked on Apply.
More logs
<details><summary>Details</summary>
<p>
```
Processing started
Writing input file to /tmp/Slicer-i/__SlicerTemp__2023-11-26_09+37+05.403/total-segmentator-input.nii
Creating segmentations with TotalSegmentator AI (pre-run)...
Total Segmentator arguments: ['-i', '/tmp/Slicer-i/__SlicerTemp__2023-11-26_09+37+05.403/total-segmentator-input.nii', '-o', '/tmp/Slicer-i/__SlicerTemp__2023-11-26_09+37+05.403/segmentation', '--fast']
/home/i/Downloads/Slicer-5.4.0-linux-amd64/lib/Python/bin/TotalSegmentator:5: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
from pkg_resources import require
/home/i/Downloads/Slicer-5.4.0-linux-amd64/lib/Python/lib/python3.9/site-packages/requests/__init__.py:102: RequestsDependencyWarning: urllib3 (1.26.18) or chardet (5.1.0)/charset_normalizer (2.0.12) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({})/charset_normalizer ({}) doesn't match a supported "
/home/i/Downloads/Slicer-5.4.0-linux-amd64/lib/Python/lib/python3.9/site-packages/torch/cuda/amp/grad_scaler.py:125: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available. Disabling.
warnings.warn(
/home/i/Downloads/Slicer-5.4.0-linux-amd64/lib/Python/lib/python3.9/site-packages/torch/amp/autocast_mode.py:250: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling
warnings.warn(
If you use this tool please cite: https://doi.org/10.48550/arXiv.2208.05868
No GPU detected. Running on CPU. This can be very slow. The '--fast' option can help to some extend.
Using 'fast' option: resampling to lower resolution (3mm)
Resampling...
Resampled in 3.14s
Predicting...
If you use this tool please cite: https://doi.org/10.48550/arXiv.2208.05868
No GPU detected. Running on CPU. This can be very slow. The '--fast' option can help to some extend.
Using 'fast' option: resampling to lower resolution (3mm)
Resampling...
Resampled in 3.14s
Predicting...
Predicted in 10.04s
Resampling...
Saving segmentations...
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Saved in 44.44s
Creating segmentations with TotalSegmentator AI...
Total Segmentator arguments: ['-i', '/tmp/Slicer-i/__SlicerTemp__2023-11-26_09+37+05.403/total-segmentator-input.nii', '-o', '/tmp/Slicer-i/__SlicerTemp__2023-11-26_09+37+05.403/segmentation', '--ml', '--task', 'bones_extremities']
/home/i/Downloads/Slicer-5.4.0-linux-amd64/lib/Python/bin/TotalSegmentator:5: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
from pkg_resources import require
/home/i/Downloads/Slicer-5.4.0-linux-amd64/lib/Python/lib/python3.9/site-packages/requests/__init__.py:102: RequestsDependencyWarning: urllib3 (1.26.18) or chardet (5.1.0)/charset_normalizer (2.0.12) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({})/charset_normalizer ({}) doesn't match a supported "
If you use this tool please cite: https://doi.org/10.48550/arXiv.2208.05868
No GPU detected. Running on CPU. This can be very slow. The '--fast' option can help to some extend.
This model is only available upon purchase of a license (free licenses available for academic projects).
Contact jakob.wasserthal@usb.ch if you are interested.
Importing segmentation results...
```
</p>
</details>