Welcome to DIRV-NET, your simple solution for 2D and 3D deformable image registration using the power of deep learning and convolutional networks. Use DIRV-NET to enhance your image processing capabilities without needing advanced technical skills.
- 2D and 3D Registration: Seamlessly align images in both dimensions for better analysis.
- Deep Learning Powered: Utilizes convolutional neural networks to improve accuracy and performance.
- User-Friendly Interface: Designed for easy use, ideal for non-technical users.
- Flexible Framework: Compatible with various image formats to fit your projects.
- Open Source: Community-driven development ensures continuous improvements.
Before you begin, ensure your system meets the following requirements:
- Operating System: Windows 10, macOS High Sierra or higher, or any Linux distribution.
- RAM: At least 8 GB of RAM recommended for optimal performance.
- Disk Space: Minimum 1 GB of free space needed for installation.
- Python: Version 3.6 or higher installed on your system.
- TensorFlow: We support TensorFlow 2.x versions.
To download DIRV-NET, visit the Releases page:
- Visit the Releases Page: Click on the link above to go to the download section.
- Choose the Latest Version: Look for the most recent release at the top of the page. It ensures you get the latest features and bug fixes.
- Download the Appropriate File: Select the download link for your operating system. Follow the prompts to save the file on your computer.
- Run the Installer: Once the download is complete, locate the file and double-click it to begin the installation.
- Follow Installation Prompts: The installer will guide you step by step. Simply accept the default settings unless you have specific preferences.
- Launch DIRV-NET: After installation, find DIRV-NET in your applications menu or desktop and double-click to open.
- Upload Your Images: Start by loading the images you want to register. DIRV-NET supports various formats, including PNG, JPG, and TIFF.
- Set Parameters: Choose registration settings based on your project needs. You can adjust aspects such as transformation types and optimization levels.
- Run Registration Process: Click the “Start” button and watch DIRV-NET align your images efficiently.
- Review Results: Once complete, examine the registered images. You can save the output in preferred formats.
If you encounter issues or need help, our community is here for you. Check out the following resources:
- GitHub Issues Page: Report bugs or request features.
- User Guide: A detailed guide is available within the application for assistance.
Stay connected for the latest updates and features. Follow our project on:
- GitHub: DIRV-NET GitHub Repository
- Community Discussions: Join our forum to engage with other users.
DIRV-NET is open-source software licensed under the MIT License. You are free to use, modify, and distribute it, respecting the original author's work.
DIRV-NET makes advanced image registration accessible. Follow these steps to download and run DIRV-NET with ease, and take advantage of deep learning for your imaging needs. Explore the possibilities with DIRV-NET today!