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Docker Setup for Football AI

Prerequisites

  • Docker and Docker Compose installed
  • NVIDIA Docker runtime (for GPU support)
  • X11 forwarding enabled (for GUI display)

Quick Start

  1. Build and run the container:
docker-compose up -d
docker-compose exec football-ai bash
  1. Once inside the container, run the Football AI:
python main.py --config config.yaml

GPU Support

If you have NVIDIA GPU:

docker-compose -f docker-compose.gpu.yaml up -d
docker-compose -f docker-compose.gpu.yaml exec football-ai bash

Using the Convenience Script

Make the script executable:

chmod +x run_docker.sh

Run:

./run_docker.sh

Directory Structure

  • /app - Your code (mounted from current directory)
  • /app/videos - Input videos (includes downloaded samples)
  • /app/output - Output videos
  • /app/.cache - Model cache

Sample Videos

The following sample videos are automatically downloaded:

  • 0bfacc_0.mp4
  • 2e57b9_0.mp4
  • 08fd33_0.mp4
  • 573e61_0.mp4
  • 121364_0.mp4

Updating Config

To use a sample video, update your config.yaml:

video:
  input_path: "/app/videos/08fd33_0.mp4"
  output_path: "/app/output/output_video.mp4"

Troubleshooting

GUI Display Issues

If you get display errors:

# On host machine
xhost +local:docker

Permission Issues

If you encounter permission issues with output files:

# Inside container
chmod -R 777 /app/output

GPU Not Detected

Make sure you have:

  • NVIDIA drivers installed
  • NVIDIA Docker runtime installed
  • Using the GPU compose file

Notes

  • The container runs interactively, allowing you to modify code and rerun
  • All changes to code are reflected immediately (volume mounted)
  • Output videos are saved to the output folder
  • Model caches are preserved between runs