A Streamlit application that allows users to upload a fundus image and create a printable net which can be cut out and assembled into a simulation eye.
- Upload images (PNG, JPG, JPEG formats supported)
- Process the image
- Download the processed image
- Simple progress indicator for better user experience
- Python 3.8+
- pip
- Clone the repository
git clone https://github.com/stuwilmur/sim-eye-app.git
cd sim-eye-app- Create a virtual environment (optional but recommended)
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate- Install dependencies
pip install -r requirements.txtstreamlit run main.pyThe app will be available at http://localhost:8501 in your web browser.
- Maximum file size: 10MB
- Supported formats: PNG, JPG, JPEG
MIT