Additional Resources
This section provides a curated list of resources to deepen your understanding of computer vision in baseball and the technologies used in BaseballCV.
Join Our Community
The best way to get help, share ideas, and contribute to BaseballCV is through our Discord community:
Our Discord server is the central hub for:
- Technical discussions
- Project announcements
- Community support
- Feature requests
- Collaboration opportunities
Computer Vision Fundamentals
Object Detection
- Understanding YOLO Series - Comprehensive overview of YOLO evolution
- DETR: End-to-End Object Detection with Transformers - Original DETR paper
- Vision Transformers (ViT) - Fundamental paper on vision transformers
- Deep Residual Learning for Image Recognition - ResNet paper
Vision-Language Models
- Florence-2 Paper - Technical details of Florence-2
- PaLI-X Paper - Understanding PaLI architecture
- Vision-Language Models Survey - Comprehensive review of VLM progress
Baseball Analytics & Biomechanics
Open Biomechanics Project
The OpenBiomechanics Project by Driveline Baseball represents a groundbreaking initiative in baseball biomechanics research. This project:
- Provides open-source biomechanics datasets
- Offers tools for motion analysis
- Enables research in baseball player mechanics
- Supports computer vision applications in player analysis
The OpenBiomechanics Project’s datasets and tools can be particularly valuable when combined with BaseballCV for comprehensive player analysis.
Computer Vision in Baseball
- TrackMan Baseball - Industry standard for ball tracking
- Hawk-Eye in Baseball - Advanced tracking system
- Statcast System Overview - MLB’s tracking technology
Baseball Data Science
- Baseball Analytics with Python - Practical examples
- Savant Documentation - Understanding MLB data
- pybaseball Documentation - Python baseball data tools
Tools and Libraries
Deep Learning
Computer Vision
Data Processing
Research Papers
Related Technologies
- Detection Transformers Beyond DETR
- Scaling Up Visual and Vision-Language Models
- Real-time Object Detection Advances
Books
Computer Vision
- “Deep Learning for Vision Systems” by Mohamed Elgendy
- “Computer Vision: Algorithms and Applications” by Richard Szeliski
- “Deep Learning” by Goodfellow, Bengio, and Courville
Baseball Analytics
- “Baseball Hacks” by Joseph Adler
- “Analyzing Baseball Data with R” by Marchi, Albert, and Baumer
- “The Book: Playing the Percentages in Baseball” by Tango, Lichtman, and Dolphin
Development Tools
Environment Setup
Version Control
Collaboration Tools
These resources are regularly updated. Check the latest versions and releases for the most current information.
Contributing Resources
If you have additional resources to suggest:
- Join our Discord channel
- Share in the #general channel
- Provide context about why the resource is valuable for BaseballCV users