Generates visualizations of audio files like SoundCloud with some Python magic.
Requires libsndfile & ffmpeg to read audio format other than pure waves if used in host mode.
Otherwise just run the docker image and mount the audio file as volume.
usage: main.py [-h] --input INPUT [--steps STEPS] [--totalwidth TOTALWIDTH]
[--stepwidth STEPWIDTH] [--height HEIGHT] [--output OUTPUT]
[--color COLOR] [--rounded ROUNDED] [--mode {avg,max}]
[--align {bottom,center}]
Creates cool-lookin audio waveform visualisations to use as assets in players
and videos.
optional arguments:
-h, --help show this help message and exit
--input INPUT Input file path. Required
--steps STEPS The total number of steps done. [Default 200]
--totalwidth TOTALWIDTH
The total width of the image. [Default 2000]
--stepwidth STEPWIDTH
Width of each step. Can derive the total width by
providing --steps and --stepwidth. [Default 10]
--height HEIGHT The total height of the image. [Default 128]
--output OUTPUT Output file path. [Default $input]
--color COLOR The fill color for the bars. [Default 'black']
--rounded ROUNDED Rounded corner radius. [Default 0]
--mode {avg,max} Sample visualization mode. Either 'avg' or 'max'
[Default 'avg']
--align {bottom,center}
Vertical bar alignment. Either 'center' or 'bottom'
[Default 'bottom']Build the Docker image from the provided Dockerfile and run it like this
# Build the Docker image yourself OR
$ docker build -t wave-man:latest .
# Pull the official image from the Github Docker Registry
$ docker pull docker.pkg.github.com/occloxium/wave-man/wave-man:latest
# Run wave-man inside the image
$ docker run -ti -v <Directory of audio file>:/wave python3 main.py --input <Audio file> [ARGS...]