porespy.beta

Functions

df_to_tortuosity(im, df)	Compute the tortuosity of a network populated with diffusive conductance values
flux(c, axis[, k])	Computes the layer-by-layer diffusive flux in a given direction.
get_block_sizes(im[, block_size_range])	Finds all viable block sizes between lower and upper limits
local_diff(vals, im[, strel])	Computes the difference pixel and the average of it's neighbors.
polydisperse_cylinders(shape, porosity, dist[, ...])	Generates overlapping cylinders with radii from the given size distribution
rev_tortuosity(im[, block_sizes, use_dask])	Generates the data for creating an REV plot based on tortuosity.
tau_from_cmap(c, im, axis)	Computes the tortuosity factor from a concentration field.
tortuosity_bt(im[, block_size, method, use_dask])	Computes the tortuosity of an image in all directions
walk(→ tuple[numpy.ndarray, numpy.ndarray])