Enlargify

Enlargify is a web application that allows users to upload an image, choose from various enlargement algorithms, and view the processed image. The application features a modern, developer-themed UI and supports image enlargement with different interpolation techniques. It also provides options to download the processed image.

Features

• Image Upload: Select and upload images from your local storage.
• Algorithm Selection: Choose from multiple enlargement algorithms including Zero Order Hold, Bilinear Interpolation, and Linear Interpolation.
• Scale Factor: Adjust the scale factor to control the enlargement size.
• Image Display: View the processed image on the same screen.
• Download Option: Download the enlarged image to your local machine.
• Monochromatic Theme: A sleek, programmer-inspired UI with a modern design.

Demo

You can view a demonstration of the application here: Enlargify Demo

Installation

Prerequisites

• Flutter
• Python (for backend)
• PIP (Python package installer)

Frontend Setup

1. Clone the repository:

   git clone https://github.com/your-repo/enlargify.git
   cd enlargify

2. Navigate to the frontend directory:

   cd lib

3. Install Flutter dependencies:

   flutter pub get

4. Run the Flutter application:

   flutter run

Backend Setup

1. Navigate to the backend directory:

   cd Backend

2. Create a virtual environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install backend dependencies:

   If you have not created a requirements.txt file, install the dependencies manually:

   pip install flask flask-cors pillow numpy

   If you have a requirements.txt file, you can install the dependencies using:

   pip install -r requirements.txt

4. Run the Flask server:

   python main.py

Usage

1. Open the Flutter app in your web browser.
2. Select an image using the "Pick an image" button.
3. Choose an enlargement algorithm from the dropdown menu.
4. Adjust the scale factor using the slider.
5. Click "Enlarge Image" to send the request to the backend.
6. View the processed image displayed on the screen.
7. Download the image using the "Download Image" button.

Contributing

Contributions are welcome! Please open an issue or submit a pull request if you would like to contribute to this project.

License

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