So I read the paper. I like what they did; it seems like an early incarnation of IsoCal. Unfortunately since their jigs are not widespread it seems like a very niche application. If someone replicated the jigs, only then would it be useful. Multiply that probability by the number of medical physicists who use Python and the number seems very low.
Victor Gabriel Leandro Alves
I Agree with you. It is a very niche application. I dit not have the jigs while I was coded the MATLAB script, so I had adapted its methodology to calculates using a ball bearing phantom (like your reference), but I used CBCT to position it near the isocenter room instead of lasers. I am familiar with OpenCV 3.0 that has just released Pyhon 3.4 support. It seems more an example application than an useful application.
It's a worthwhile project if your clinic will use it. It seems like IsoCal is becoming a new standard for those who can afford it; after that, the methods are numerous with no clear winner. I'm very interested to see what TG-198 will say...