P V DIVAKAR RAJU

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![RVE30](https://user-images.githubusercontent.com/87779141/126541174-74c041cd-f70d-4fbb-af89-d1cdb8a66572.png) ![RVE40](https://user-images.githubusercontent.com/87779141/126541179-09c300d2-0acd-45ff-afc6-84de485d1095.png) ![RVE50](https://user-images.githubusercontent.com/87779141/126541181-f8198402-935a-4508-9bac-e386fe7f29fc.png) Code: import numpy as np import cv2 from PIL import Image import matplotlib.pyplot as plt from sklearn.pipeline import Pipeline from pymks import ( generate_checkerboard, plot_microstructures, PrimitiveTransformer, TwoPointCorrelation...

Dear Daniel Wheeler, in the example given at "http://pymks.org/en/latest/rst/notebooks/intro.html" takes one experimental microstructure and computes 2-p correlation and moves forward to a used synthetic generation of microstructures. I have difficulty...

difficulty in stacking the multiple experimental microstructures. Thank you On Thu, Aug 19, 2021 at 2:31 PM ME19D506 P V Divakar Raju < ***@***.***> wrote: > Dear Daniel Wheeler, >...

Thank you for the clarification. I have imported using dask_image. It would be highly helpful if you can provide some source for the following 1. Understanding principal component of image...