Try a coding agent for writing and tuning the OpenCV part, and have it explain its choices. That's probably the most practical path to shipping a working system.
Speaking from experience: never used OpenCV before, recently vibe coded a tool that makes supercuts of pool videos, trimming each clip from the cue ball's first strike to when the motion stops.
In case anyone was wondering, the IOCCC specifically permits LLM use in their guidelines.
"The IOCCC has a rich history of remarkable winning entries created by authors who skillfully employed various techniques (often their own tools) to develop their code."
I think of Tesla autopilot as sophisticated cruise control. Can perform most driving tasks better than I can, saves a lot of cognitive work, still needs close of my 100% attention.
Genesis 1:13, Eve optimal
Replace 'Then' with 'And' in optimal ('And the LORD God said') and poetic_daily to preserve narrative vav-consecutive connective consistently.
He has a knack for putting words to the vague frustrations I feel but can't quite articulate. How does he find so many perfect examples that nail exactly what's wrong?
Tried it in earnest. Definitely detect some aggression, and would feel stressed if this were an exam setting. I think it was pg who said that any stress you add in an interview situation is just noise, and dilutes the signal.
Also, given that there's so many ways for LLMs to go off the rails (it just gave me the student id I was supposed to say, for example), it feels a bit unprofessional to be using this to administer real exams.
Some of those, like horses, are 1% hobbies. But many of the others can be done very affordably. Buying used equipment, learning from YouTube and online resources, starting small and scaling gradually make most of those hobbies accessible at a fraction of the cost.
Classic talk that still influences my design decisions today.