Image Processing Application

Overview

This is a private project for an image processing application built in Python. The application allows users to load, view, and apply various image processing techniques using a graphical user interface (GUI).

Features

• Load Images: Users can load images from their local filesystem.
• View Images: Display loaded images in a dedicated viewer.
• Apply Filters: Apply various filters and transformations to the images.
• Save Processed Images: Save the processed images back to the filesystem.

Project Structure

The project is structured as follows:

image_processing_app/
├── frontend/
│   ├── main_window.py  # Main application window
│   ├── image_viewer.py  # Component for displaying images
│   └── controls.py     # Control panel for user interactions
├── backend/
│   ├── image_processor.py  # Main image processing logic
│   ├── filters.py          # Implementation of image filters
│   └── transformations.py   # Implementation of image transformations
├── utils/
│   ├── file_io.py          # File input/output utilities
│   └── helpers.py          # Miscellaneous helper functions
├── main.py               # Entry point of the application
└── README.md              # Project documentation

Setup

To set up the project, follow these steps:

1. Clone the repository (if applicable).
2. Create a virtual environment:

   conda create --name image_processing_env python=3.11
   conda activate image_processing_env

3. Install dependencies:

   conda install tk pillow opencv scikit-image ttkbootstrap

4. Run the application:

   python main.py

Contributing

This project is currently private. Contributions are not accepted at this time.