Devlog #11: started the new CV code, deciding on the approach

got through about half the CV code today, good progress on the rewrite.

right now i’m deciding between two routes for the actual fire recognition:

• tensorflow + mobilenet-SSD — a proper deep learning object detector. heavier, but it actually learns what fire looks like, so it should handle different lighting and angles way better.
• regular opencv + a few libraries — lighter and simpler, runs easy on the Pi, but less robust.

still weighing it. mobilenet-SSD is probably the stronger long term call since it generalizes better, but opencv is much lighter on the Pi, so i want to see what framerate i actually get before committing to either.

next: benchmark both and pick one.