📜 Ultralytics Magellan

Welcome to the Ultralytics open-source Earth observation repository! This space showcases innovative software developed by Ultralytics, demonstrating the power of Machine Learning (ML) in geospatial analysis and Earth observation. Explore our range of cutting-edge projects on the Ultralytics website.

🌍 Project Description

The Ultralytics Magellan Project pioneers the integration of ML with Earth observation data. This project enables users to visualize and interact with ML-derived insights from geospatial data on platforms like Google Maps and WebGL Earth, adding a dynamic dimension to data visualization and analysis in computer vision.

• Preview the generated neutron map output: neutron_map.png
• Explore the MATLAB workflows in NMDB/MAGELLAN.m, data/run1day.m, and MCNPMap/fcnMCNPmap.m

🛠️ Requirements

To leverage the full capabilities of the Magellan project, ensure you have the following prerequisites:

• MATLAB: R2018a or newer. Visit the official MATLAB Software page for installation details and support.
• Supporting Utilities: Clone the common functions repository:

  git clone https://github.com/ultralytics/functions-matlab
  

  After cloning, add this repository and the common functions repository to your MATLAB path:

  addpath(genpath('/path/to/magellan'))
  addpath(genpath('/path/to/functions-matlab'))
  

• MATLAB Toolboxes: Install the Statistics and Machine Learning Toolbox, Signal Processing Toolbox, and Deep Learning Toolbox. These are essential for the project's data analysis, neural-network modeling, and processing tasks.

🚀 Getting Started

Follow these steps to get started with the Magellan software:

1. Set up Environment: Ensure MATLAB and the required toolboxes are installed, then add this repository and functions-matlab to your path as described in the Requirements section.

2. Run Example Code: Start with the NMDB workflow included in this repository.

   MAGELLAN
   

3. Advanced Usage: For custom configurations or more complex scenarios, please refer to the specific function documentation within the repository or contact us for detailed guidance.

🖼️ Visualization Preview

Below is a preview of the kind of visualizations you can create with the Magellan project, showcasing ML insights overlaid on geographical maps.

💡 Contribute

Ultralytics thrives on community collaboration, and we deeply value your contributions! Whether it's reporting bugs, suggesting features, or submitting code changes, your involvement is crucial.

• Reporting Issues: Encounter a bug? Please report it on GitHub Issues.
• Feature Requests: Have an idea for improvement? Share it via GitHub Issues.
• Pull Requests: Want to contribute code? Please read our Contributing Guide first, then submit a Pull Request.
• Feedback: Share your thoughts and experiences by participating in our official Survey.

A heartfelt thank you 🙏 goes out to all our contributors! Your efforts help make Ultralytics tools better for everyone.

📄 License

Ultralytics offers two licensing options to accommodate diverse needs:

• AGPL-3.0 License: Ideal for students, researchers, and enthusiasts passionate about open collaboration and knowledge sharing. This OSI-approved open-source license promotes transparency and community involvement. See the LICENSE file for details.
• Enterprise License: Designed for commercial applications, this license permits the seamless integration of Ultralytics software and AI models into commercial products and services, bypassing the copyleft requirements of AGPL-3.0. For commercial use cases, please inquire about an Ultralytics Enterprise License.

📮 Contact

For bug reports or feature suggestions, please use GitHub Issues. For general questions, discussions, and community support, join our Discord server!