Metadata-Version: 2.1
Name: anntonia
Version: 0.0.1
Summary: Artificial Neural Network to Node-link Immersive Analytics
Project-URL: Homepage, https://vr.rwth-aachen.de
Author-email: Martin Bellgardt <bellgardt@vr.rwth-aachen.de>
License: MIT License
        
        Copyright (c) 2022 Visual Computing Institute, RWTH Aachen University
        
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License-File: LICENSE
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
Requires-Dist: bson
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: pillow
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: websockets
Description-Content-Type: text/markdown

# Artificial Neural Network to Node-link Immersive Analytics (ANNtoNIA)

ANNtoNIA is a framework for building immersive node-link visualizations, designed for Artificial Neural Networks (ANN). It is currently under development and unfinished. For any questions, contact @mbellgardt.

## Recommended Setup

Download and install [Anaconda](https://www.anaconda.com), then create an environment, by executing:

```
conda create -c conda-forge --name anntonia --file anntonia-env.txt
```

in the anaconda prompt. Activate the environment using:

```
conda activate anntonia
```

Afterwards you can run one of the examples by, e.g:

```
python linear_model_test_server.py
```

This will start the ANNtoNIA server, you can then connect to with the [ANNtoNIA rendering client](https://devhub.vr.rwth-aachen.de/VR-Group/unreal-development/demos/anntonia_rendering).