PixFy

A Desktop Photo Editor using python and customtkinter following the MVP Model-View-Presenter Architectural Pattern

Overview

This is a desktop photo editor application built using Python, following the Model-View-Presenter (MVP) architectural pattern. It provides a minimal set of features aimed at demonstrating the core functionality of the application. The user interface is developed with custom-tkinter library, and the application utilizes the open-cv and Pillow libraries for image processing and manipulation.The project was created for a college image processing course.

Features

• Responsive Design App
• Light & Dark Modes

Basic Image Editing Tools

• Box Filter
• Canny Edge Detection
• Composite Laplacian Sharpening
• Contrast Stretching
• Equalization
• Gaussian Filter
• Gaussian Noise
• GrayScale Filter
• Histogram Analysis
• Laplacian Sharpening
• Log Transform
• Max Filter
• Mean Filter
• Median Filter
• Min Filter
• Negative Effect
• Power Law Transformation
• Resizing
• Rotation (190 Degrees)
• Salt & Pepper Noise Generation
• Sobel Edge Detection (X, Y, XY)
• Threshold
• Translation

Screenshots

• The App intro in light mode
• The App intro in dark mode
• The main screen in light mode
• Here i enabled the dark mode theme
• You can upload an image using the file dialog or drag and drop
• Here After uploading the image
• Here i rotated the image with 190 degree
• Here i resized the image
• You can display the histogram of the image but first enable the gray scale filter from Gray Filters tab
• Here i applied the gray scale filter
• Here i applied the negative filter
• Here i smoothed the image using Box Filter
• Here i sharpened the image using Composite Laplacian Filter
• You can add some Salt & Paper noise or Gaussian Noise
• Here i used canny method for image segmentation, also you can use Sobel method
• After you finish editing ,you can save the image as png or jpg

Getting Started

Installation

1. Clone the repo

   git clone https://github.com/mohamedsaeed138/PixFy_Desktop_Photo_Editor.git

2. Install dependencies

   pip install -r requirements.txt

Usage

1. Navigate to the project directory.
2. Run the application using

python main.py

Model-View-Presenter (MVP) Architecture

This application follows the Model-View-Presenter architectural pattern:

• Model: Represents the data and business logic.
• View: Presents the data to the user and handles user interactions.
• Presenter: Acts as an intermediary between the model and the view, handling business logic and updating the view.

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/new-feature)
3. Commit your Changes (git commit -m 'Add some new-feature')
4. Push to the Branch (git push origin feature/new-feature)
5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.