Explanation
Background knowledge and context about Quagga2. These articles explain why things work the way they do, providing deeper understanding beyond just how to use the library.
Algorithm & Theory
How Barcode Localization Works ⭐ Featured
Deep dive into the computer vision algorithms that find barcodes in images. Covers:
- Binary image creation with Otsu’s method
- Skeletonization
- Component labeling
- Orientation detection using image moments
- Why this approach is rotation/scale invariant
Read this if: You want to understand the “magic” behind barcode detection, optimize performance, or contribute to the localization code.
Architecture
How Input Streams Work
Technical deep dive into the three input stream types and their initialization flow. Covers:
- LiveStream, VideoStream, and ImageStream differences
- The async initialization sequence
- Why
framegrabberindicates init completion - Race conditions and how to avoid them
Read this if: You’re debugging initialization issues, dealing with React StrictMode, or want to understand the media pipeline.
Algorithm Overview (Coming Soon)
High-level overview of Quagga2’s processing pipeline from input to output.
Code Architecture
Structure of the codebase, module organization, and design decisions.
Concepts
Why asm.js for Skeletonization (Coming Soon)
Explanation of why performance-critical code uses asm.js and what that means.
Reader Design Patterns (Coming Soon)
How barcode readers are implemented and how to create custom ones.
Differences from Other Doc Types
Explanation articles:
- Provide context and background
- Discuss alternatives and trade-offs
- Explain historical decisions
- Connect concepts together
- Are OK to read casually
Tutorials: Step-by-step learning by doing How-To Guides: Task-focused, get things done Reference: Precise technical specifications
When to Read Explanations
Read these articles when you:
- Want to understand how things work under the hood
- Need to debug complex issues
- Want to contribute to the codebase
- Are curious about design decisions
- Want to optimize beyond basic tuning
Contributing
Have insights to share about how Quagga2 works? We welcome explanation articles! See the Contributing Guide.