Archeon

This project converts videos into 3D models using Neural Radiance Fields (NeRF). The service is exposed via a FastAPI app, and the generated 3D models can be rendered in-app.

Features

• Upload videos via a FastAPI endpoint
• Extract frames from video for NeRF processing
• Generate 3D models using NeRF
• Render generated 3D models in the app
• Model weights versioning for NeRF fine-tuning

Directory Structure

• app/: The main FastAPI app code and services.
• models/weights/: Stores the NeRF model weights.
• docs/: Documentation, including model specs and architecture diagrams.
• notebooks/: Jupyter notebooks for development and fine-tuning.
• static/3d_models/: Generated 3D models are stored here.

Getting Started

1. Create a folder named fyp
2. Open folder in visual studio code
3. connect your github account to vs code
4. open terminal
5. Clone the repository:

   git clone https://github.com/your-username/archeon.git
   cd archeon

6. make and start virtual environment and install requirements:

   python -m venv archeonvenv
   set-executionpolicy -scope process -executionpolicy bypass
   ./archeovenv/Scripts/activate
   pip install -r requirements.txt