Football-Analysis-computer vision

The goal of this project is to detect and track players, referees, and footballs in a video using YOLO. Also training the model to improve its performance. Additionally,Assign players to teams based on the colors of their t-shirts. And then can measure a team's ball acquisition percentage.Also useing optical flow to measure camera movement between frames. Furthermore Implementing perspective transformation to represent the scene's depth and perspective, allowing to measure a player's movement in meters rather than pixels. Finally Calculate a player's speed and the distance covered.