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pyanthem - an audiovisualization tool to make your data more interesting

Project description

Features:

  1. Raw data decomposition

  2. A variety of video and audio parameters

  3. In-place video and audio merge

  4. GUI and Command-line interface for maximum flexibility

  5. Example datasets to get you started

Requirements

Python 3.7:

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

ffmpeg:

ffmpeg enables video creation and merging.

fluidsynth

fluidsynth is a powerful software synthesizer, which enables conversion of data to crisp, high quality sound files.

Installation

Note: If you do not have working installations of the above listed requirements, it is strongly recommended that you use miniconda/Anaconda for a straightforward installation process. If you do not have either, minicondais preferred as it is a faster install and takes up much less space.

Using Miniconda/Anaconda:

Create an environment and install the required packages:

conda create -n pyanthem python=3.7 pip ffmpeg fluidsynth --channel conda-forge --channel nicthib

Next, activate the environment:

conda activate pyanthem

Finally, install the pyanthem Python package using pip:

pip install pyanthem

Using pip

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

pip install pyanthem

Downloading Example datasets

If you want to get familiar with the datasets that pyanthem uses, download this small collection of datasets/config files

Usage

Under construction!

Team

Nic Thibodeaux

niclogo

http://github.com/nicthib

FAQ

Under construction!

Support

Project details


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This version

1.0.1

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pyanthem-1.0.1.tar.gz (15.0 kB view hashes)

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