SuperFlux | Python reference implementation of the SuperFlux onset

by CPJKU Python Version: Current License: No License

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kandi X-RAY | SuperFlux Summary

SuperFlux is a Python library. SuperFlux has no bugs, it has no vulnerabilities and it has low support. However SuperFlux build file is not available. You can download it from GitHub.

Python reference implementation of the SuperFlux onset detection algorithm as described in:. "Maximum Filter Vibrato Suppression for Onset Detection" by Sebastian Böck and Gerhard Widmer. Proceedings of the 16th International Conference on Digital Audio Effects (DAFx-13), Maynooth, Ireland, September 2013.

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SuperFlux has a low active ecosystem.

It has 50 star(s) with 16 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SuperFlux is current.

Quality

SuperFlux has 0 bugs and 0 code smells.

Security

SuperFlux has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

SuperFlux code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

SuperFlux does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

SuperFlux releases are not available. You will need to build from source code and install.

SuperFlux has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed SuperFlux and discovered the below as its top functions. This is intended to give you an instant insight into SuperFlux implemented functionality, and help decide if they suit your requirements.

Argument parser .
Main function .
Detects peaks at a given threshold .
Create a weighting mask based on a local filter .
Compute frequencies for a given frequency range .
Calculate the diff matrix of a superflux spectrum .
Construct a triangular filter .
Initialize the ODF .
Evaluate the audio .
Downmix the audio .

Get all kandi verified functions for this library.

SuperFlux Key Features

No Key Features are available at this moment for SuperFlux.

SuperFlux Examples and Code Snippets

No Code Snippets are available at this moment for SuperFlux.

Community Discussions

No Community Discussions are available at this moment for SuperFlux.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install SuperFlux

You can download it from GitHub.
You can use SuperFlux like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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