Build an AI/ML Football Analysis system with YOLO, OpenCV, and Python

In this video, you'll learn how to use machine learning, computer vision and deep learning to create a football analysis system. This project utilizes YOlO a state of the art object detector to detect the players, referees and footballs. It also utilizes trackers to track those object across frames. We also train our own object detector to enhance the output of the state-of-the-art models. Additionally, we will assign players to teams based on the colors of their t-shirts using Kmeans for pixel segmentation and clustering. We will also use optical flow to measure camera movement between frame…