Advanced Ghost Hunter Web App

This project provides an interactive Streamlit-based web application for the Ghost Hunter ML pipeline.

Prerequisites

• Python 3.8+
• Install dependencies:

pip install -r requirements.txt

Running the Web App

To start the web app, run:

streamlit run ghost_hunter.py

This will launch the Ghost Hunter ML Pipeline interface in your browser.

Usage

1. Setup & Configuration: Enter project details and parameters.
2. DM4 to PNG Conversion: Convert DM4 files to PNG format.
3. Average Boxing: Preprocess images using average boxing.
4. Data Labelling: Label your data interactively.
5. Model Training: Train your ML model.
6. Inference & Results: Generate and view results.

Troubleshooting

• If you encounter import errors, ensure you have installed all dependencies from requirements.txt.
• For GPU acceleration, ensure CUDA is available and compatible with your PyTorch installation.

License