Repository Structure

├── analysis/
│   ├── Analysis-new-rgb.ipynb  # NeRF color analysis script used in the thesis
│   ├── Analysis-sigma.ipynb    # NeRF density (sigma) analysis script used in the thesis
│   └── utils.py                # Core Python class/utilities for running NeRF models
├── deeppy_v2/                  # Main training algorithm package and source code
├── Abschlussarbeit.pdf         # Digital copy of the Master's Thesis
├── attention.ipynb             # Attention mechanism exploration and visualization
├── check_histograms.ipynb      # Script to verify and inspect generated histogram data
├── create_histograms.ipynb     # Evaluates NeRF models and converts outputs to histograms
├── data_preprocess.ipynb       # Data preprocessing (Neural Network to Graph conversion)
├── evaluate.ipynb              # NeRF evaluation and testing suite
├── train.ipynb                 # Main model training pipeline
└── tsne.ipynb                  # t-SNE dimensionality reduction and embedding plots