SAR Image Colorization

This project aims to colorize SAR (Synthetic Aperture Radar) images using a deep learning model. The backend processes the image and returns a colorized output.

Project Structure

• client/: React frontend for uploading images.
• server/: Node.js backend for processing the image.
• model/: Model-related files.
• PowerShell scripts:
  • setup.ps1: Sets up the project.
  • run.ps1: Runs the project.
  • clear.ps1: Clears setup.

Setup

Prerequisites

Make sure the following are installed on your system:

• Git
• Node.js
• MongoDB
• Python

Steps

To run the project locally follow the steps:

1. Clone the repository:

   git clone https://github.com/Yubi09/SAR-Image-Colorization.git

2. Run the setup script:

   ./setup.ps1

3. Update the environment variables: Edit the .env.example file in the server/ directory and set:

   • MONGODB_URL: Your MongoDB connection string.
   • PORT: Server port.
   • JWT_TOKEN: Your JWT token.

4. Download the model file: Download the generator_final.pth file from Google Drive and place it in the server/ directory.

5. Download and place the required .dll file: Download the .dll file from Google Drive and move it to:

   C:\Windows\System32

6. Run the project:

   ./run.ps1

Usage

Once the project is running, access the frontend to upload SAR images for colorization. The backend will process and return the colorized image.