EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Jul 23·5 min read
Building watchable digital twins of 64 World Cup games
TL;DR
A developer created detailed digital twins of 64 World Cup games by utilizing computer vision techniques for player and ball tracking, enhancing data visualization. This approach leverages object detection and field geometry identification to transform live broadcast data into interactive visual formats.
✦ Why It Matters
Explore computer vision techniques to enhance your own sports data visualizations today.
Key Takeaways
- Utilize PFF data for high-resolution sports analytics.
- Implement a web viewer for interactive game visualizations.
- Incorporate player animations for enhanced realism.
- Explore open-source tools for custom sports data projects.
How It Works
The system uses computer vision techniques for real-time player and ball tracking, combined with event logging to create a detailed dataset. This data is processed to generate a digital twin of the games, allowing for both 2D and 3D visualizations.
The architecture includes an API for data access and a streaming service for real-time player coordinates, enhancing user engagement.