pymusiclooper 1.3.2

Automatically find loop points of any song and play endlessly or export into intro/loop/outro sections or loop points.

PyMusicLooper

A script for repeating music seamlessly and endlessly, by automatically finding the best loop points.

Features:

• Find loop points within any music file (if they exist).
• Supports a large set of different audio formats, and all the popular ones (MP3, OGG, M4A, FLAC, WAV, etc).
• Play the music file endlessly and seamlessly with the best discovered loop.
• Export to intro/loop/outro sections for editing or seamless playback within any music player that supports gapless playback.
• Export loop points in samples (e.g. for use in creating custom themes with seamlessly looping audio).

Installation

Requires Python >=3.6 to run. This program depends on NumPy (for arrays and mathematical operations) and Librosa (for audio analysis and beat extraction). If you don't have these dependencies installed, they'll be automatically downloaded:

For the full program with tag preservation and direct playing support:

pip install git+https://github.com/arkrow/PyMusicLooper.git#egg=pymusiclooper[complete]

The "complete" version requires:

• pytaglib for tag preservation (see their installation notes for problems with libtag dependency on MacOS/Linux)
• mpg123 to play music endlessly through the terminal.

For just the essentials (exporting intro/loop/outro sections to WAV, or the loop points in samples):

pip install git+https://github.com/arkrow/PyMusicLooper.git

Usage

usage: python -m pymusiclooper [-h] [-v] [-p] [-e] [--preserve-tags] [-j] [-b]
                               [-r] [-n N_JOBS] [-o OUTPUT_DIR]
                               [-m MIN_DURATION_MULTIPLIER]
                               path

A script for repeating music seamlessly and endlessly, by automatically
finding the best loop points.

positional arguments:
  path                  path to music file.

optional arguments:
  -h, --help            show this help message and exit
  -v, --verbose         enable verbose logging output

Play:
  -p, --play            play the song on repeat with the best discovered loop
                        point (default).

Export:
  -e, --export          export the song into intro, loop and outro files (WAV
                        format).
  --preserve-tags       export with the track's original tags.
  -j, --json            export the loop points (in samples) to a JSON file in
                        the song's directory.
  -b, --batch           batch process all the files within the given path
                        (usage with export args [-e] or [-j] only).
  -r, --recursive       process directories and their contents recursively
                        (usage with [-b/--batch] only).
  -n N_JOBS, --n-jobs N_JOBS
                        number of parallel jobs to use for batch processing;
                        specify -1 to use all cores (default: 1). WARNING:
                        changing the value will also result in higher memory
                        consumption.

Parameter adjustment:
  -o OUTPUT_DIR, --output-dir OUTPUT_DIR
                        specify a different output directory.
  -m MIN_DURATION_MULTIPLIER, --min-duration-multiplier MIN_DURATION_MULTIPLIER
                        specify minimum loop duration as a multiplier of song
                        duration (default: 0.35)

PyMusicLooper will find the best loop point it can detect, and will then, depending on your arguments:

(a) play the song on repeat using the best discovered loop point (default, requires mpg123);

(b) export intro/loop/outro sections of the song (currently outputs as WAV-only, although you may convert with ffmpeg or Audacity);

(c) export the loop points (in samples) to a JSON text file, which you can use for audio loops in custom theme creation, etc.

Example Usage

Note: If on Windows, you can Shift+Right-Click in an empty spot in the song's folder and choose command-line/powershell from the context menu. Otherwise, cd/dir to the folder.

Play the song on repeat with the best discovered loop point.

python -m pymusiclooper "Song I Could Listen To Forever.mp3"

Export the song into intro, loop and outro files, and carry over the track's original tags.

python -m pymusiclooper -e "some music track.ogg" --preserve-tags

Export the loop points of all the songs in the current directory.

python -m pymusiclooper -bj .

The I WANT IT ALL option. Export intro/loop/outro sections and loop points of all the songs in the current directory and its subdirectories, to a folder called "Music Loops", processing 4 tracks concurrently, preserving the original tags.

python -m pymusiclooper -brej . -o "Music Loops" -n 4 --preserve-tags

If the loop is very long (or very short), you may specify a different minimum duration for the algorithm to use, which is 0.35 (35%) by default. If the most of the track is the loop section, specifying a higher multiplier will also speed the algorithm up. Here -m 0.85 means that, excluding silence, the loop section is at least 85% of the music track.

python -m pymusiclooper "super long track.flac" -m 0.85

Building from source

Requried python packages: pip and setuptools.

Clone the git repository to a directory of your choice and cd to inside the repo.

Run:

python setup.py build

Followed by:

python setup.py install

Contribution

If there is a song that you think PyMusicLooper should be able to loop but doesn't, please feel free to open an issue with a link to that song and mention the approximate timestamp at which it loops. Forks and pull requests are of course welcome.

Acknowledgement

This project started out as a fork of Nolan Nicholson's project Looper. Although at this point only a few lines of code remain from that project due to adopting a completely different approach and implementation, without their contributions this project would not have been possible.

Version History

• v1.4.0 Major improvements to the loop detection algorithm; added option to preserve tags
• v1.3.2 Fixed fallback PLP method not working sometimes
• v1.3.1 Fixed batch processing mode selection
• v1.3.0 Added multiprocessing support and progress bar for batch export
• v1.2.1 Save export output to a "looper_output" folder in the current working directory by default
• v1.2.0 Removed unreliable cache implementation
• v1.1.0 Added support for batch processing
• v1.0.0 Initial Release