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A newer version of the Gradio SDK is available:
6.6.0
metadata
title: Color Quantification Tool
emoji: π’
colorFrom: blue
colorTo: red
sdk: gradio
sdk_version: 5.35.0
app_file: color_quantification_app.py
pinned: false
license: mit
short_description: Color Quantification Tool
π¨ Color Quantification Tool
Professional Color Analysis Platform - Web Demo Version
This is a simplified web demonstration of the Color Quantification Tool. For full functionality and advanced features, please download the desktop application.
π Features (Web Demo)
- Single Image Analysis: Upload and analyze individual images
- Color Extraction: K-means clustering for dominant color identification
- Visual Results: Color palette and percentage distribution
- Real-time Processing: Instant analysis with interactive interface
π₯οΈ Desktop Version
The full desktop application offers advanced features:
π¬ Advanced Analysis
- Multi-color space analysis (RGB, LAB, HSV)
- Professional distance metrics (ΞE2000, Bhattacharyya, Euclidean)
- Statistical analysis with comprehensive reporting
- Configurable clustering parameters
π Professional Visualizations
- 3D color space distribution plots
- Distance matrix heatmaps with scientific colormaps
- Interactive dashboard with zoom and pan controls
- High-quality export options (PNG, SVG, HTML)
πΎ Export & Reporting
- Excel reports with detailed statistics
- CSV data for further analysis
- JSON format for machine processing
- Professional PDF reports
β‘ Performance
- Batch processing of thousands of images
- GPU-accelerated computation
- Multi-threaded analysis
- Progress tracking and logging
π₯ Download Desktop Version
Latest Version: v1.0.0 | File Size: 1.1GB | Platform: Windows 64-bit
Primary Download Links:
- π GitHub Repository: ColorQuantificationTool
- π Releases: Download Latest Version
System Requirements:
- OS: Windows 10/11 (64-bit)
- RAM: 8GB minimum, 16GB recommended
- Storage: 2GB free space for analysis results
- Display: 1920x1080 or higher resolution
π Quick Start (Web Demo)
- Upload an image using the file uploader
- Adjust parameters (number of colors to extract)
- Click "Analyze Colors" to start the analysis
- View results in the interactive table and color palette
π Use Cases
π¬ Scientific Research
- Color analysis in biological specimens
- Material science color characterization
- Quality control in manufacturing
π¨ Creative Industries
- Digital art color palette analysis
- Brand color consistency verification
- Print color matching and calibration
π Data Analysis
- Image dataset color profiling
- Batch color extraction and clustering
- Statistical color distribution analysis
π Security & Privacy
- Local Processing: All analysis performed locally (desktop version)
- No Data Collection: Web demo processes images temporarily
- Open Source: Code available for security audit
- Privacy First: No user data stored or transmitted
π License
This project is licensed under the MIT License.
π Acknowledgments
- Built with Python, NumPy, OpenCV, Matplotlib, and scikit-learn
- Web interface powered by Gradio
- Color science algorithms based on CIE standards
- Special thanks to the open-source community
π Support
- π Issues: GitHub Issues
- π Documentation: User Guide
- π¬ Community: Join our user community
β If this tool helps your research or work, please consider giving it a star on GitHub!
Color Quantification Tool - Making color analysis accessible to everyone