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title: Color Quantification Tool
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emoji:
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colorFrom:
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colorTo:
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sdk: gradio
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sdk_version:
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app_file:
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pinned: false
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license: mit
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short_description: Color Quantification Tool
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---
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---
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title: Color Quantification Tool
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emoji: π¨
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colorFrom: blue
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colorTo: purple
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sdk: gradio
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sdk_version: 4.0.0
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app_file: huggingface_app.py
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pinned: false
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license: mit
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---
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# π¨ Color Quantification Tool
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**Professional Color Analysis Platform** - Web Demo Version
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This is a simplified web demonstration of the Color Quantification Tool. For full functionality and advanced features, please download the desktop application.
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## π Features (Web Demo)
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- **Single Image Analysis**: Upload and analyze individual images
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- **Color Extraction**: K-means clustering for dominant color identification
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- **Visual Results**: Color palette and percentage distribution
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- **Real-time Processing**: Instant analysis with interactive interface
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## π₯οΈ Desktop Version
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The full desktop application offers advanced features:
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### π¬ **Advanced Analysis**
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- Multi-color space analysis (RGB, LAB, HSV)
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- Professional distance metrics (ΞE2000, Bhattacharyya, Euclidean)
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- Statistical analysis with comprehensive reporting
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- Configurable clustering parameters
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### π **Professional Visualizations**
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- 3D color space distribution plots
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- Distance matrix heatmaps with scientific colormaps
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- Interactive dashboard with zoom and pan controls
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- High-quality export options (PNG, SVG, HTML)
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### πΎ **Export & Reporting**
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- Excel reports with detailed statistics
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- CSV data for further analysis
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- JSON format for machine processing
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- Professional PDF reports
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### β‘ **Performance**
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- Batch processing of thousands of images
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- GPU-accelerated computation
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- Multi-threaded analysis
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- Progress tracking and logging
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## π₯ Download Desktop Version
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**Latest Version: v1.0.0** | **File Size: 1.1GB** | **Platform: Windows 64-bit**
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### Primary Download Links:
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- π **Google Drive**: [Download ColorQuantificationTool.exe](https://drive.google.com/file/d/your-file-id/view)
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- π **OneDrive**: [Download ColorQuantificationTool.exe](https://onedrive.live.com/download?cid=your-cid)
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- π **SourceForge**: [Download](https://sourceforge.net/projects/colorquantificationtool/)
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### System Requirements:
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- **OS**: Windows 10/11 (64-bit)
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- **RAM**: 8GB minimum, 16GB recommended
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- **Storage**: 2GB free space for analysis results
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- **Display**: 1920x1080 or higher resolution
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## π Quick Start (Web Demo)
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1. **Upload an image** using the file uploader
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2. **Adjust parameters** (number of colors to extract)
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3. **Click "Analyze Colors"** to start the analysis
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4. **View results** in the interactive table and color palette
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## π Documentation
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- **[User Guide](https://github.com/your-username/ColorQuantificationTool/blob/main/User_Guide_Instructions.md)** - Comprehensive usage instructions
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- **[δΈζζε](https://github.com/your-username/ColorQuantificationTool/blob/main/δ½Ώη¨ζε―Όθ―΄ζ.md)** - θ―¦η»ηδΈζδ½Ώη¨θ―΄ζ
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- **[GitHub Repository](https://github.com/your-username/ColorQuantificationTool)** - Source code and releases
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## π Use Cases
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### π¬ **Scientific Research**
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- Color analysis in biological specimens
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- Material science color characterization
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- Quality control in manufacturing
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### π¨ **Creative Industries**
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- Digital art color palette analysis
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- Brand color consistency verification
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- Print color matching and calibration
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### π **Data Analysis**
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- Image dataset color profiling
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- Batch color extraction and clustering
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- Statistical color distribution analysis
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## π Security & Privacy
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- **Local Processing**: All analysis performed locally (desktop version)
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- **No Data Collection**: Web demo processes images temporarily
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- **Open Source**: Code available for security audit
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- **Privacy First**: No user data stored or transmitted
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## π License
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This project is licensed under the MIT License.
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## π Acknowledgments
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- Built with Python, NumPy, OpenCV, Matplotlib, and scikit-learn
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- Web interface powered by Gradio
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- Color science algorithms based on CIE standards
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- Special thanks to the open-source community
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## π Support
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- π§ **Email**: 1967151971@qq.com
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- π¬ **Community**: Join our user community
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---
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**β If this tool helps your research or work, please consider giving it a star on GitHub!**
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*Color Quantification Tool - Making color analysis accessible to everyone*
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