hi,
Any one has got the Slicer automated dental tools to work ?
I am using the Slicer 5.5.0-2023-09-13 r32175 / 23bf4eb on Garuda Linux (6.4.12-zen1-1-zen (64-bit))
I have downloaded test scans and latest models and when i run the prediction it stops after few seconds
This is the message i get,
========= ERROR =========
CLI execution failed:
In the future np.bool will be defined as the corresponding NumPy scalar.
In the future np.bool will be defined as the corresponding NumPy scalar.
Traceback (most recent call last):
File “/home/manjula/Documents/Software/Slicer-5.5.0-2023-09-13-linux-amd64/slicer.org/Extensions-32175/SlicerAutomatedDentalTools/lib/Slicer-5.5/cli-modules/AMASSS_CLI.py”, line 99, in
import itk
File “/home/manjula/Documents/Software/Slicer-5.5.0-2023-09-13-linux-amd64/lib/Python/lib/python3.9/site-packages/itk/init.py”, line 28, in
from itk.support.extras import *
File “/home/manjula/Documents/Software/Slicer-5.5.0-2023-09-13-linux-amd64/lib/Python/lib/python3.9/site-packages/itk/support/extras.py”, line 35, in
import itk.support.types as itkt
File “/home/manjula/Documents/Software/Slicer-5.5.0-2023-09-13-linux-amd64/lib/Python/lib/python3.9/site-packages/itk/support/types.py”, line 175, in
) = itkCType.initialize_c_types_once()
File “/home/manjula/Documents/Software/Slicer-5.5.0-2023-09-13-linux-amd64/lib/Python/lib/python3.9/site-packages/itk/support/types.py”, line 140, in initialize_c_types_once
_B: “itkCType” = itkCType(“bool”, “B”, np.bool)
File “/home/manjula/Documents/Software/Slicer-5.5.0-2023-09-13-linux-amd64/lib/Python/lib/python3.9/site-packages/numpy/init.py”, line 313, in getattr
raise AttributeError(former_attrs[attr])
AttributeError: module ‘numpy’ has no attribute ‘bool’.
np.bool was a deprecated alias for the builtin bool. To avoid this error in existing code, use bool by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use np.bool_ here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
NumPy 1.20.0 Release Notes — NumPy v2.0.dev0 Manual
Thank you


