Abdulmageed
/

SoccerMatchPredictor

Object Detection

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Football Analytics with Deep Learning and Computer Vision

Project goal: Create a web application to automate football analysis, and provide useful information that helps in decision making.

Current stage: Developing a Streamlit_web_application for football object detection with tactical map representation.

Installation & How to use?

Steps:

Open the command prompt
cd path of the football Ai folder `
Install the required libraries listed in the file requirement.txt,
You can use the command conda env create -f environment.yml to create the conda env I use
But make sure the pytorch installation is compatible with your machine.
Use the command steamlit run main.py to start the application.

Features

Detect players, referees and ball.
Predict players teams based on predefined team colors.
Build a tactical map representation.
Track ball movements.

Application Workflow

The journey of the input video and different functionalities are illustrated in the workflow diagram below.

![workflow diagram]

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Object Detection

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