README.md

---
title: radar_image_quality
app_file: src/app_gradio.py
sdk: gradio
sdk_version: 5.25.2
---
# Radar Image Quality Gradio App

## Overview
The Radar Image Quality Gradio App is designed to evaluate the quality parameters of radar image generated by a bistatic radar system. This application provides an interactive interface for users to input various parameters and visualize the results.

## Project Structure
```
radar-image-quality
├── src
│   ├── app_backend.py       # Backend logic for calculations
│   ├── app_gradio.py        # Gradio interface setup
│   └── test_backend.py      # Unit tests for backend functions
├── img   
│   └──...                   # Frontend image files 
├── Dockerfile               # Docker instructions for building the image
├── requirements.txt         # Python dependencies
└── README.md                # Project documentation
```

## Setup Instructions
1. **Clone the repository:**
   ```bash
   git clone <repository-url>
   cd radar_image_quality
   ```

2. **Install dependencies:**
   It is recommended to use a virtual environment. You can create one using:
   ```bash
   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`
   ```
   Then install the required packages:
   ```bash
   pip install -r requirements.txt
   ```

3. **Run the application:**
   You can run the Gradio app directly using:
   ```bash
   python src/app_gradio.py
   ```

## Docker Instructions
To build and run the Docker container, use the following commands:
1. **Build the Docker image:**
   ```bash
   source docker_build.sh
   ```

2. **Run the Docker container:**
   ```bash
   source docker_run.sh
   ```

## Usage
Once the application is running, open your web browser and navigate to `http://localhost:7860` to access the Gradio interface. You can input various parameters related to the radar system and visualize the results.