Metadata-Version: 1.1
Name: neuralart
Version: 1.0.1
Summary: A library for rendering generative art from a randomly initialized neural network.
Home-page: https://github.com/dstein64/neuralart
Author: Daniel Steinberg
Author-email: ds@dannyadam.com
License: MIT
Description: .. image:: https://github.com/dstein64/neuralart/workflows/build/badge.svg
            :target: https://github.com/dstein64/neuralart/actions
        
        neuralart
        =========
        
        A library and command line utility for rendering generative art from a randomly
        initialized neural network.
        
        Based on the following blog posts and pages from `studio otoro <http://otoro.net/>`__
        
        - `Neural Network Generative Art in Javascript <http://blog.otoro.net/2015/06/19/neural-network-generative-art/>`__
        - `Generating Abstract Patterns with TensorFlow <http://blog.otoro.net/2016/03/25/generating-abstract-patterns-with-tensorflow/>`__
        - `Neurogram <http://blog.otoro.net/2015/07/31/neurogram/>`__
        - `Interactive Neural Network Art <http://otoro.net/ml/netart/>`__
        
        Requirements
        ------------
        
        *neuralart* supports Python 3.x.
        
        Linux, Mac, and Windows are supported.
        
        Other operating systems may be compatible if the dependencies can be properly installed.
        
        Dependencies
        ~~~~~~~~~~~~
        
        - PyTorch
        - Pillow
        
        Installation
        ------------
        
        `neuralart <https://pypi.python.org/pypi/neuralart>`__ is available on PyPI,
        the Python Package Index.
        
        ::
        
            $ pip install neuralart
        
        Command Line Utility
        --------------------
        
        There is a command line utility for generating images. Use the :code:`--help`
        flag for more information.
        
        ::
        
            $ neuralart --help
        
        Example
        ~~~~~~~
        
        ::
        
            $ neuralart \
                  --seed 2 \
                  --xres 2048 \
                  --hidden-std 1.2 \
                  example.png
        
        .. image:: https://github.com/dstein64/neuralart/blob/master/images/example-400.png?raw=true
           :target: https://github.com/dstein64/neuralart/blob/master/images/example.png
        
        Library Example Usage
        ---------------------
        
        See `example.py <https://github.com/dstein64/neuralart/blob/master/example.py>`__.
        
        License
        -------
        
        The code in this repository has an `MIT License <https://en.wikipedia.org/wiki/MIT_License>`__.
        
        See `LICENSE <https://github.com/dstein64/neuralart/blob/master/LICENSE>`__.
        
Keywords: neural-networks,generative-art
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Artistic Software
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: Unix
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
