AuraEdit - Computer Vision Image Editor with PyQt5 and Qt Designer

AuraEdit is a desktop image processing application built using PyQt5 and designed with Qt Designer. It leverages powerful computer vision libraries such as OpenCV, Pillow, and PyTorch to provide a variety of image editing and enhancement features through an easy-to-use graphical interface.

Features

• User-friendly GUI designed using Qt Designer (mydesign2or.ui)
• Image loading, viewing, and saving functionalities
• Basic and advanced image processing filters such as Gaussian Blur, Mean, Sharpen, Distorted, Noise, Grayscale, Sobel, Edge Detection, Linear, Sketch etc using OpenCV, Pillow, and SciPy
• Editing Tools such as Zoom in/out, add text, rotate, resize, move/pan images etc.
• Parameter adjustment dialogs for filters
• Supports multiple image formats
• Modular Python code for easy extension and maintenance

Application GUI

Main application window

Filter and filter parameter adjustment

Installation

Prerequisites

• Python 3.7 or higher
• Qt Designer (for editing .ui files)

Install dependencies

Run the following command to install all required Python packages:

pip install -r requirements.txt

Usage

1. Clone the repository or download the source files.
2. Ensure all dependencies are installed (see above).
3. Run the main application script:

python main2.py

4. Use the GUI to load images and apply filters.

Project Structure

.
├── main2.py             # Main application entry point
├── convert.py           # Image conversion utilities
├── mydesign2or.py       # Python code generated from Qt Designer UI
├── mydesign2or.ui       # Qt Designer UI file
├── resources.qrc        # Qt resource file (icons, etc.)
├── icon.zip             # Icon assets
├── requirements.txt     # Python dependencies
├── LICENSE              # MIT License file
├── README.md            # This README file

Development

• UI is designed and edited using Qt Designer (mydesign2or.ui).
• UI file is converted to Python using pyuic5:

pyuic5 mydesign2or.ui -o mydesign2or.py

• Modify mydesign2or.py only if needed; preferred approach is to update the .ui file and regenerate the Python file.
• Core logic and image processing are handled in main2.py and convert.py.

License

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