Real-Time NBA 2K Vision Tool

I’ve been experimenting with ways to read the shot meter in NBA 2K directly from the screen and now need a complete, production-ready solution. The program must capture the game window in real time, use OpenCV (or an equally capable computer-vision library) to locate and track the shot-meter graphics, and then generate immediate feedback outside the game. No memory reading or modding—everything has to rely purely on pixels.

Core detection target
• Shot meter timing: identify the fill level, green window and release point with enough precision that I can act on the feedback while the shot is still in flight.

Feedback channel
I’m flexible: an overlay drawn back onto the game, a small floating window, or both are acceptable as long as the information appears with virtually zero added latency. Feel free to recommend the fastest and most stable approach; low-level DirectX overlays, OpenGL, or a lightweight PyQt/PySide window are all on the table.

Performance expectations
• Full-HD capture at 60 fps on a mid-tier GPU/CPU.
• End-to-end detection and display latency under 50 ms.
• Robustness to different arena lighting, jerseys, and broadcast camera cuts.

Deliverables
1. Source code (preferably Python + OpenCV, though C++ is fine if it helps performance).
2. A runnable executable with minimal setup—no heavyweight install steps.
3. Configuration file or UI to fine-tune detection thresholds.
4. Brief README or video demo showing the tool working in a live game.

I’ll provide test footage and can stream live sessions for tuning. Once the base shot-meter module is solid, we can discuss adding player indicators or scoreboard reading as milestones.