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audiovisual's Introduction

ahiP

AudioVisual

Testbed for deep-generative AudioVisuals

Audio Visualizer | How to

Dependencies

  • Python 3.8
  • Datoviz
  • madmom
  • carat
  • musicsections
  • screeninfo
  • audioio
  • sklearn

Getting Started

Install Datoviz by following https://datoviz.org/tutorials/install/ or

For Linux:

 pip install http://dl.datoviz.org/v0.1.0-alpha.1/datoviz-0.1.0a1-cp38-cp38-manylinux_2_24_x86_64.whl

For macOS:

 pip install http://dl.datoviz.org/v0.1.0-alpha.1/datoviz-0.1.0a1-cp38-cp38-macosx_10_14_x86_64.whl

For Windows:

 pip install http://dl.datoviz.org/v0.1.0-alpha.1/datoviz-0.1.0a1-cp38-cp38-win_amd64.whl

followed by

git clone https://github.com/ahip88/AudioVisual.git
cd AudioVisual
pip install -r requirements.txt

Executing Code

  • To run the tutorial:
python "..yourFullPath/AudioVisual/tutorial.py" When_They_Come_For_Me
  • For the AudioVisual only:
python "..yourFullPath/AudioVisual/audio_visual_v5.py" sync_test
  • To process your own songs, place them in AudioVisual Folder and run:
python "..yourFullPath/AudioVisual/Process.py" File

Do Not include the extension, it will be searched for.

Issues

If it's lagging (fps < 300) you're probably being spammed vklite validation warnings. Follow the instructions to build datoviz from Source (updating anything Vulkan related)

Authors

ahip88 [email protected]

Version History

* Demo/Tutorial

Acknowledgments

audiovisual's People

Stargazers

Someshwar Tripathi avatar  avatar Jeff Carpenter avatar Florian Kowarsch avatar Akshat Jain avatar  avatar  avatar Aaron Ghent avatar

Watchers

 avatar AhiP avatar  avatar

Forkers

simrit1 gbtheory

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