Processing scripts for principle components analysis of ultrasound images, as well as associated (meta)data (experimental context, time-aligned acoustic data, and so on).

Data structures are generated by ultracomm and ultratils libraries (see https://github.com/rsprouse). Ultrasound image data should be unconverted (in rectangular format) BPR to start with. Directory structure is assumed to be based around the acquisition: a collection of similarly named files with different extensions attached to a common base name, along with a few automatically generated troubleshooting files (stim.txt, versions.txt, etc) that have the same name for every acquisition.

The current minimal working example for this set of functions is in the jupyter notebook dlib-basics-92117. Functions in dlib-utils are copied in dlib-utils.py for future convenience.