coffeegrindsize analyzes images of coffee grounds to determine the distribution of particle sizes. It performs image processing to segment individual grounds and subsequently calculates their size. This facilitates the assessment of coffee quality and consistency. The tool utilizes Python and OpenCV for image analysis and processing.
The application provides a user-friendly, standalone executable for both macOS and Windows. It offers a straightforward analysis process without requiring extensive technical expertise. The program directly analyzes images, avoiding manual measurement and subjective assessments of coffee particle sizes.
- Image Input: Supports common image formats like JPEG and PNG for analysis.
- Particle Segmentation: Accurately identifies and separates individual coffee grounds within the image.
- Size Calculation: Determines the size of each individual coffee ground.
- Distribution Visualization: Presents the particle size distribution in a clear, graphical format.
- Standalone Application: Offers a self-contained executable for ease of use on various operating systems.
- OS X & Windows Compatibility: Designed and tested for both macOS and Windows environments.
- Simple Workflow: Features a straightforward user interface with minimal configuration required.
The project has been maintained since its creation in late 2018, with regular updates and bug fixes. Recent commits indicate ongoing support and refinement. The core functionality is well-established and demonstrated through the application's usability. However, documentation is limited beyond the README, and advanced features may require deeper investigation.
coffeegrindsize benefits coffee roasters, quality control specialists, and researchers interested in analyzing coffee bean particle characteristics. It provides a valuable tool for evaluating roast consistency, optimizing grinding processes, and ensuring consistent coffee quality. By automating particle size analysis, it reduces manual effort and improves the reliability of assessments.