Yehuda Warszawer

Work great for me (: Thank you!!!!  About this, will it be possible to remove the labels? > Another issue is the vertebrae names (C1, C2, etc.), will there...

Here is the data: -i [multi_amu01_T1w_0000.nii.gz](https://github.com/spinalcordtoolbox/spinalcordtoolbox/files/14351872/multi_amu01_T1w_0000.nii.gz) -s [multi_amu01_T1w.nii.gz](https://github.com/spinalcordtoolbox/spinalcordtoolbox/files/14351873/multi_amu01_T1w.nii.gz) Thanks!! Best, Yehuda

Hi @joshuacwnewton, thank you for your assistance! Your solution outlined in https://github.com/spinalcordtoolbox/spinalcordtoolbox/issues/4379#issuecomment-1962084303 looks very promising! I'm curious about how it will be implemented. Will it detect the groups automatically, or...

Even if a specific label always appears in the same color? Using `rs = np.random.RandomState(np.random.MT19937(np.random.SeedSequence(label)))` ensures that this color consistency is maintained for that label across multiple executions.

Yes definitely, you’re right. if you know the labels:anatomy in advance better to have the colors set consistently and for greater contrast for anatomically close structures.

I used this code with the path set as required: ```bash nnUNetv2_plan_and_preprocess -d 101 -c 3d_fullres --verify_dataset_integrity ``` The problem arises from the way the file paths are constructed in...