🎯 Unified Plotter

Professional bounding box visualization tool for computer vision datasets

This is the official distribution repository for Unified Plotter - a production-ready tool for visualizing and analyzing bounding box data in computer vision projects.

✨ Key Features

• 🎨 Interactive Visualization: Create stunning plots with zoom, pan, and selection capabilities
• 📊 Data Analysis: Built-in statistics, filtering, and data exploration tools
• 💾 Multiple Export Formats: Save plots as PNG, SVG, PDF, or interactive HTML
• 🔧 Easy Setup: Native executables for Windows, macOS, and Linux - no installation required
• 📈 Performance Optimized: Handles large datasets efficiently with smart rendering
• 🎯 Professional UI: Clean, intuitive interface designed for researchers and developers

🚀 Quick Start

Download & Run

Download the latest release from GitHub Releases:

• Windows: unified-plotter-v2.0.0-windows.exe
• macOS: unified-plotter-v2.0.0-macos.dmg
• Linux: unified-plotter-v2.0.0-linux.AppImage

System Requirements

• Windows: Windows 10/11 (64-bit)
• macOS: macOS 10.14+ (Intel/Apple Silicon)
• Linux: Ubuntu 18.04+ or equivalent (with FUSE for AppImage)

CSV Format

Your CSV file should contain these columns:

• image_path: Path to the image file
• x_min, y_min, x_max, y_max: Bounding box coordinates
• class_name: Object class/category (optional)
• confidence: Detection confidence score (optional)

🎯 Use Cases

• Computer Vision Research: Visualize and analyze object detection datasets
• Data Quality Assessment: Identify annotation errors and inconsistencies
• Model Evaluation: Compare ground truth vs predictions
• Dataset Exploration: Understand data distribution and patterns
• Presentation & Reporting: Create publication-ready visualizations

🔧 Technical Details

• Language: Python 3.8+
• GUI Framework: Tkinter with custom styling
• Plotting: Matplotlib with interactive features
• Data Processing: Pandas for efficient data handling
• Packaging: PyInstaller for native executables
• Cross-Platform: Tested on Windows, macOS, and Linux

📈 Version History

• v2.0.0 (Latest): Professional release with native executables
• v1.x.x: Development and beta versions

🤝 Support

• Issues: Report bugs or request features
• Discussions: Community discussions
• Documentation: Check the Wiki for detailed guides

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Built with Python and the amazing open-source community
• Special thanks to contributors and testers who helped shape this tool
• Inspired by the need for better data visualization in computer vision research

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Ready to visualize your bounding box data? Download now and start creating professional visualizations!