The scripts in this directory may be useful in conjuction with other Go-Smart tools, particularly in preparing output and validation.

Run in the directory of a goosefoot simulation diagnostic output (as returned by, for instance glot diagnostic XXXXX) to generate needle STL files. Requires go-smart-needle-library (part of Goosefoot) to be installed locally (and, in particular, the PythonOCC dependency). If working with containerized Glossia, this means installing Goosefoot on the host (or another machine) outside the container, as a normal Python package.

It works by extracting the needle positions from GSSF-XML and creating an XML input for go-smart-needle-library. Not guaranteed to work in all situations, it makes a couple of assumptions, but we haven't had incorrect output thus far. In general, it should be pretty clear if there is an issue as the needles will not line up with the rest of the output.

Fork of https://github.com/sheldonkhall/MITA-model/ containing GPLv3 addition of Microsulis probe and some extra documentation on updated Go-Smart Goosefoot MWA approach.

TODO: organize a pull request