This Basketball Computer Vision Study 4.5 will calculate the score of the game between yellow and blue players. The use of computational geometry is employed to determine 2 and 3 pointers and attribute made shots to the correct player. The graphic shape overlays help visualize and articulate how the overlaping geometries function to establish the computational science analysis of basketball. The code was made in Python with help of Chat GPT with opencv, mediapipe and YOLOv8 libraries. The code was written and run on a MacBook Air M1 Chip. The next step is to code the score of the person wearing a blue jersey. This code is in process and is undergoing development.
