Music-Visualizer

Visualizing various aspects of music: CQT, channel differences, spectrums, waves, power, and volumes.

Demo video.

How to install

1. Download this repository and save it to your machine (e.g. ~/code/Music-Visualizer)
2. Install FFmpeg on your machine, if it is not already installed.

Introductory usage

• Take a look at all the available options

  python Music-Visualizer -h

• Single file

  python Music-Visualizer -i music.mp3

  python Music-Visualizer -i full/path/to/the/music.m4a

  With custom output dir:

  python Music-Visualizer -i music.wav -o abs/path/to/the/folder

  With custom ffmpeg:

  python Music-Visualizer -i music.wav -ff ~/ffmpeg/bin/ffmpeg.exe

• Multiple files

  python Music-Visualizer -i folder/of/music

• Using GPU
  • AMD:

    python Music-Visualizer -i folder/of/music -g a

  • NVIDIA:

    python Music-Visualizer -i folder/of/music -g n

  Lossless render (full quality):

  python Music-Visualizer -i folder/of/music -g n -q 0

• 60 frames per second

  python Music-Visualizer -i music.m4a -r 60

Customized style

• custom title font:
  • Linux:

    python Music-Visualizer -i music.m4a -tf ~/.fonts/Arial.ttf

  • Windows:

    python Music-Visualizer -i music.m4a -tf C\:/Windows/Fonts/Arial.ttf

  • MacOS:

    python Music-Visualizer -i music.m4a -tf /Library/Fonts/Arial.ttf

• color scheme:

  python Music-Visualizer -i music.m4a -pc #fafbfa -wcl #3280c9 -wcr #32c958 -vc #ee2020

Limitations

• The only resolution option available is HD (1280x720)

Troubleshooting

• if you encounter this error message Option 'rate' not found, search for "#BUG" in main/main.py and follow the written instructions
• if --vol_color showing wrong color, check the comments near the end of the file main/arg_parser.py

License

This project is licensed under the MIT license.