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