When generating larger and larger images with generators.blobs, the porosity (when far away from 0.5) does not converge to the value given.
import porespy as ps
l = 1000
blob1 = ps.generators.blobs([l,l], porosity=0.1, blobiness=l/50)
print(f'blob1 {l}x{l} mean = {blob1.mean()}')
l = 10000
blob2 = ps.generators.blobs([l,l], porosity=0.1, blobiness=l/50)
print(f'blob2 {l}x{l} mean = {blob2.mean()}')
blob1 1000x1000 mean = 0.101451
blob2 10000x10000 mean = 0.10158081
porespy version 2.4.1
python version 3.11.9
Mac OS
Thanks in advance, I think the issue is that after the gaussian filter in making the blobs image, the distribution is not normal.. It might be a bit slower but maybe have a all_to_uniform function that does not assume normality to change the distribution to uniform.
Hi!
When generating larger and larger images with
generators.blobs, the porosity (when far away from 0.5) does not converge to the value given.porespy version 2.4.1 python version 3.11.9 Mac OS
Thanks in advance, I think the issue is that after the gaussian filter in making the blobs image, the distribution is not normal.. It might be a bit slower but maybe have a all_to_uniform function that does not assume normality to change the distribution to uniform.