Look into napari

[billbrod]

Seems like a useful way to visualize nD arrays: https://ilovesymposia.com/2019/10/24/introducing-napari-a-fast-n-dimensional-image-viewer-in-python/. Also has explicit support for image pyramids: http://napari.org/tutorials/image.html#image-pyramids

Want to check whether we can subclass it / extend it like we did with pyrtools.imshow, in order to make sure:

1. There's no interpolation or smoothing in the display of an array
2. Arrays are displayed as either zoomed out by a power of two or zoomed in by an integer, no intermediate values (which would lead to interpolation)

It looks like it's built on top of VisPy rather than matplotlib, don't know anything about the differences between them.

[billbrod]

As I poke into this a bit more, don't think this would work like pyrtools.imshow: the whole point of napari is that it's interactive / a GUI, not for creating images to save. Still might be useful for exploration of data.

However, note that it doesn't currently support Jupyter Lab (docs say it supports Jupyter Notebook, but I haven't tried it; bottom of this page).

In order for it to work in Jupyter notebook, need to add %gui qt5 in a cell and then wait for a bit for it to initialize. This means you probably also need to install pyqt5, but I'm not sure (it wasn't installed as part of pip install napari)

[billbrod]

Don't think this is necessary