You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
# to unify matrix dimension order between SimpleITK([x,y,z]) and numpy([z,y,x])
What is the reason to call np.transpose() on the axis? I am asking this question because I have seen it in different places but according to Tensorflow conv3d documentation the format of the spatial dimensions should be (z, y, x) already returned from sitk.GetArrayFromImage().
Am I missing something?
The text was updated successfully, but these errors were encountered:
Hi,
thank you for sharing your code. I have a question about something you are doing here:
vnet-tensorflow/NiftiDataset3D.py
Line 131 in 4c60947
What is the reason to call np.transpose() on the axis? I am asking this question because I have seen it in different places but according to Tensorflow conv3d documentation the format of the spatial dimensions should be (z, y, x) already returned from sitk.GetArrayFromImage().
Am I missing something?
The text was updated successfully, but these errors were encountered: