X-ray Image Effect Project

This project applies an X-ray effect to images using Python and the Python Imaging Library (PIL). It is a useful tool for creating datasets with characteristics of x-ray images.

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Environment Setup

Prerequisites

• Python 3.x
• pip (Python package manager)

Setting Up a Virtual Environment

1. Create a Virtual Environment:

In your terminal, navigate to your project directory and run:

python -m venv .venv

This will create a virtual environment named .venv in your project directory.

2. Activate the Virtual Environment:

• On Windows, run:

  .\venv\Scripts\activate
  

• On Linux or macOS, run:

  source venv/bin/activate
  

Installing Dependencies

With the virtual environment activated, install the necessary dependencies by running:

pip install -r requirements.txt

Project Configuration

1. Application Settings:

Configure the input and output paths in the src/config.py file. For example:

APP_PATH_INPUT_IMAGES = 'path/to/input/images/directory'
APP_PATH_OUTPUT_IMAGES = 'path/to/output/images/directory'

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Usage

To use the application, ensure the virtual environment is activated. In the root directory of the project, run:

python main.py

This will process all images in the specified input directory and save the X-ray effect images to the output directory.

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Additional Notes

• Ensure the input directory contains images in supported formats (.png, .jpg, .jpeg, .webp).
• The script will create the output directory if it does not exist.

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License

This project is open-sourced and available to everyone under the MIT License.