muvsfunc | Muonium 's VapourSynth functions

by WolframRhodium Python Version: v0.4.0 License: No License

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

kandi X-RAY | muvsfunc Summary

muvsfunc is a Python library typically used in PhantomJS applications. muvsfunc has no vulnerabilities and it has low support. However muvsfunc has 1 bugs and it build file is not available. You can download it from GitHub.

Muonium's VapourSynth functions

Support

Quality

Security

License

Reuse

Support

muvsfunc has a low active ecosystem.

It has 66 star(s) with 19 fork(s). There are 12 watchers for this library.

It had no major release in the last 12 months.

There are 7 open issues and 27 have been closed. On average issues are closed in 46 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of muvsfunc is v0.4.0

Quality

muvsfunc has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 587 code smells.

Security

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

muvsfunc code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

muvsfunc 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

muvsfunc releases are available to install and integrate.

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

muvsfunc saves you 1824 person hours of effort in developing the same functionality from scratch.

It has 4028 lines of code, 159 functions and 8 files.

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

Top functions reviewed by kandi - BETA

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

Resample a video clip
Process a numpy array
Get an array from a given frame
Builds a video node
Create a video node
Check CUDA result
Smooth_core
Convert a PSF to the OFT
Generates a denormin2
Core function for L0 gradient descent
Gradient of L0 gradient
Performs a L0 gradient projection on a clip
Generate NDNN layer
Smooth a clip
Generate a 2D FDD using FDD
Build an engine
Benchmark convolution
Fastmandelbrot
Compute FGS using FGS_2D
Solve a clip of a clip
Generate an IEDD image
Perform a Poisson merge
Apply SSFDeband
Convert a clip of a given clip of a clip
Generate a filter based on a given radius
Build a repr function

Get all kandi verified functions for this library.

muvsfunc Key Features

No Key Features are available at this moment for muvsfunc.

muvsfunc Examples and Code Snippets

No Code Snippets are available at this moment for muvsfunc.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install muvsfunc

You can download it from GitHub.
You can use muvsfunc 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 .

Find more information at: