Bone Fracture Detection (Work in Progress)

This project aims to build a web application for detecting bone fractures in X-ray images using YOLOv8 and Flask.
It includes both the training pipeline for the model and a Flask-based interface for image upload and fracture visualization.

⚠️ Note: The project is still under development. Some features, paths, and configurations may change.

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Features

• YOLOv8-based fracture detection
• Upload X-ray images via a simple Flask web app
• Bounding box visualization for detected fractures
• Custom training support for your own datasets
• Organized structure for uploads/, results/, and saved_models/

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How to Run the Project

• cd Cartella_Bone_Fractures
• pip install flask ultralytics opencv-python werkzeug torch torchvision

⚠️ For Codespaces, Docker, or WSL users. If you encounter an error like "ImportError: libGL.so.1: cannot open shared object file: No such file or directory" it means some system libraries required by OpenCV are missing. Install them with:

• sudo apt-get update
• sudo apt-get install -y libgl1

Run the Flask app

• python app.py