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.
- Python 3.x
- pip (Python package manager)
- Create a Virtual Environment:
In your terminal, navigate to your project directory and run:
python -m venv .venvThis will create a virtual environment named .venv in your project directory.
- Activate the Virtual Environment:
- On Windows, run:
.\venv\Scripts\activate - On Linux or macOS, run:
source venv/bin/activate
With the virtual environment activated, install the necessary dependencies by running:
pip install -r requirements.txt- 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'To use the application, ensure the virtual environment is activated. In the root directory of the project, run:
python main.pyThis will process all images in the specified input directory and save the X-ray effect images to the output directory.
- 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.
This project is open-sourced and available to everyone under the MIT License.
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