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This is a simple wrapper library for beat and down-beat tracking algorithm.

Project description

Beat tracking wrapper

This is a simple wrapper library for beat and down-beat tracking algorithm. Currently, this package only has madmom downbeat tracker The input audio format should be .wav. But you can use ffmpeg to convert .mp3 to .wav

Requirement

Usage

Command line

docker run -ti --rm -v $(pwd):/beat_tracker python cli.py input/test.mp3

Module

import tracker

args = tracker.TrackerArgument()
args.audio_path = 'input/slide.mp3'
args.output_dir_path = 'output/slide'
tracker.track(args)

Convert wav to mp3

ffmpeg -i input.wav -vn -ar 44100 -ac 2 -b:a 192k output.mp3

Build docker image

docker build -t beat_tracker:dev -f dev.dockerfile .

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