autocut | Video/audio splitter | Audio Utils library

by reconndev Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | autocut Summary

autocut is a Python library typically used in Audio, Audio Utils, Deep Learning, Neural Network applications. autocut has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However autocut build file is not available. You can download it from GitHub.

Video/audio voice splitter based on noise level.

Support

Quality

Security

License

Reuse

Support

autocut has a low active ecosystem.

It has 2 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 0 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of autocut is current.

Quality

autocut has 0 bugs and 0 code smells.

Security

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

autocut code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

autocut is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

autocut 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.

It has 276 lines of code, 11 functions and 1 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Initialize fmpeg .
Returns a generator of levels in time .
get attribute by name

Get all kandi verified functions for this library.

autocut Key Features

No Key Features are available at this moment for autocut.

autocut Examples and Code Snippets

No Code Snippets are available at this moment for autocut.

Community Discussions

Trending Discussions on autocut

AWS Redshift sql grouping by

QUESTION

AWS Redshift sql grouping by

Asked 2020-Jun-28 at 09:30

I am working on Redshift database table which has below columns.

...

ANSWER

Answered 2020-Jun-28 at 08:00

You have to add case expressions in group by as following

Source https://stackoverflow.com/questions/62619786

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

Vulnerabilities

No vulnerabilities reported

Install autocut

You can download it from GitHub.
You can use autocut 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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