Indexing multiple captured video streams with awarded action points and adding athlete/referee positions overlay. Stretch goal -- controlling PTZ camera for predictive capture of the high intensity actions.
No, action points I get either from parsing a video capture of a scoreboard or by pulling them over API, depending on which scoreboard/match management system is used.
I do plan to have a front-end for manual annotation of referee performance: correct relative position, timing, determining attacking/defending wrestler etc.
Perfection is not "perfectionism". Former is provable given set of constraint. Later is anxiety due to fear of criticism.
"We don't want to build the perfect solution." Can both mean "no need to cover use cases we don't care about" and "no need to deal with divizion by zero in a product, where a number is divided by the user entered number".
I did a project with Claude. With unit and integration tests, whole shebang. First in Python. Reached 25% of MVP and understood that I spend more time fixing subtle type mismatches (int/str, function signature vs call etc.), than adding new code. I've switched to Go (note: I've also made sure tests/frontend/backend code are built within the same context) and finished the MVP, without encountering the same problems even once.
