pyanthem 0.67

pyanthem - a neuroimaging audiovisualiation tool.

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pyanthem: an audiovisualization tool to make your data more interesting

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pyanthem is a Python_ tool that transforms three-dimensional time-varying datasets into a colorful, audible format. pyanthem boasts a variety of features:

1. Raw data decomposition
2. Video and audio preview
3. A broad variety of video and audio parameters
4. Command-line reproduction via config files

Requirements

Python 3: Currently, pyanthem is tested to work on Python_ 3.7+. This will be updated as more versions are tested.

pip: pip is needed for the installation of the pyanthem module and its dependencies. Most python versions will have pip installed already, see the pip installation_ page for instructions if you do not have pip.

ffmpeg: ffmpeg_ enables video creation and merging.

fluidsynth (optional, but highly recommended) fluidsynth_ is a powerful software synthesizer, which enables conversion of data to crisp, high quality sound files.

git (optional): git_ allows pyanthem to download external audio files quickly and easily.

.. _Python: https://www.python.org/ .. _pip installation: https://pip.pypa.io/en/latest/installing/ .. _git: https://git-scm.com/ .. _ffmpeg: https://ffmpeg.org/ .. _fluidsynth: http://www.fluidsynth.org/

Installation

Note: If you do not have working versions of the above listed requirements, it is recommended that you use miniconda_ or Anaconda_ for a straightforward installation process.

Using Miniconda/Anaconda:

First, download the pyanthem.yaml_ config file. Create the environment by navigating to the pyanthem.yaml file's location, and then by running::

conda env create -f pyanthem.yaml

Next, activate the environment::

conda activate pyanthem

Using pip

If you already have the requirements installed, install pyanthem using pip::

python -m pip install pyanthem

.. _miniconda: https://docs.conda.io/en/latest/miniconda.html .. _Anaconda: https://www.anaconda.com/products/individual .. _pyanthem.yaml: https://drive.google.com/file/d/1N7TB3Fypdwr8Aw1dQDSjyxit5Y-0mLZs .. _here: https://github.com/nicthib/FluidSynth-Windows-Builds/archive/v1.zip

Usage

Under construction!

Team

.. |niclogo| image:: https://avatars1.githubusercontent.com/u/34455769?v=3&s=200

.. csv-table:: :header: Nic Thibodeaux

|niclogo| <http://github.com/nicthib>

FAQ

• How do I do specifically so and so?
  • No problem! Just do this.

Support

• Twitter: @nicthibs_

.. _@nicthibs: http://twitter.com/nicthibs