porespy

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`networks.maximal_ball_wrapper` produces no output

2

I am able to run `ps.networks.maximal_ball_wrapper(im, "test", "./pnextract.exe", voxel_size=resolution)`, but I did not get any output files?

minzhangut

`chords_apply` with `spacing=0` is incompatible with `chords_count`

1

# The issue I have found an issue with function `chords_count` on a chord filled image where `spacing=0`. The issue does not seems to appear when I use a spacing...

bernarda78

Improve ImageJ submodule to run in headless mode

4

See [here](https://github.com/imagej/pyimagej/issues/102) for more details.

ma-sadeghi

`tqdm` seems to have changed something in their backend

1

See Discussion #707

jgostick

The `Results` object returned from `snow2` should have a rotated version of the image suitable for ParaView?

1

This might be handy for comparing networks and images in paraview, but it's also a bit of a feature creep idea.

jgostick

These tests/notebooks are currently failing and need to be updated asap: - `examples/visualization/tutorials/visualizing_tif_in_paraveiw.ipynb` - `examples/networks/tutorials/snow_advanced.ipynb` - `test\unit\test_network_extraction.py` `imageio`'s docs has a [section](https://imageio.readthedocs.io/en/stable/reference/userapi.html?highlight=volwrite#writing-images) on how to fix it.

ma-sadeghi

Memory profile snow2

4

On our 256GB-memory server, I couldn't do extraction for images larger than 1200^3. Given that a 1200^3 image stored in `float64` roughly takes up ~14GB of memory, `snow2` is using...

ma-sadeghi

Make reference notebooks for all the funcs in tools

1

These got put on the back burner during the "tidy docs" marathon since they are not top priority, but we should get to them eventually.

jgostick

Alter 2-point correlation output

2

As discussed in #626, our 2-point correlation function does not give the same output as Torquato, meaning that our data can't be used in some of the analytical functions that...

jgostick

REV should adapt to aspect ratio of image

1

Some images are thin, like of fibrous media. In these cases the REV function will use cubes with a maximum size equal to the thin dimension. It might be handy...

jgostick