This is a plug-in to ViTables to view data sets as images. It uses PyQtGraph to visualize the data sets in the workspace. Valid viewable data sets include 2D arrays (H,W) as monochrome images, 3D arrays as RGB(A) (H,W,3) with or without the alpha channel, 3D arrays as N monochrome images (N,H,W), and 4D arrays as N RGB(A) images (N,H,W,3). A long term goal is to answer the problems addressed in Issue #11.

This plug-in is designed to work with the development branch of ViTables (2.2a1), and, therefore, uses setuptools to declare the entry points into vitables.plugins.

First, ensure that the correct version of ViTables and PyQtGraph are installed. The minimum version of ViTables necessary is (2.2a1) which is currently the development branch. The lowest know version of PyQtGraph that has been tested is 0.9.10. Once those dependencies have been installed, run:

python setup.py install

After running the install, launch ViTables, open the Preferences menu, select the Plugins tab, and enable Image Viewer. Once you restart ViTables, you can right click on a data set and view it as an image.

The default ordering of the arrays in the file is assumed to be (Depth, Width, Height, RGB(A)). To change this order, go to Preferences -> image_viewer and select the proper order. To have this persist, simply hit save before exiting the preferences menu.

As noted in Issue #33, the current development branch of ViTables requires setuptools-git to work. If you need to install ViTables from an archived download, please refer to this patch to aid in installation.