video-quality | Video quality metrics, reference implementation in python: VIF, SSIM, PSNR, | Computer Vision library

by aizvorski Python Version: Current License: GPL-2.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | video-quality Summary

video-quality is a Python library typically used in Artificial Intelligence, Computer Vision, Pytorch applications. video-quality has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However video-quality build file is not available. You can download it from GitHub.

Video quality metrics, reference implementation in python, with GPU optimizations and C versions as time permits.

Support

Quality

Security

License

Reuse

Support

video-quality has a low active ecosystem.

It has 631 star(s) with 186 fork(s). There are 19 watchers for this library.

It had no major release in the last 6 months.

There are 9 open issues and 2 have been closed. On average issues are closed in 520 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of video-quality is current.

Quality

video-quality has 0 bugs and 0 code smells.

Security

video-quality has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

video-quality code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

video-quality is licensed under the GPL-2.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

video-quality releases are not available. You will need to build from source code and install.

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

video-quality saves you 177 person hours of effort in developing the same functionality from scratch.

It has 439 lines of code, 18 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 video-quality and discovered the below as its top functions. This is intended to give you an instant insight into video-quality implemented functionality, and help decide if they suit your requirements.

Calculate VIFP magnitude scale
Compute the similarity between two images
Calculate the SSim between two images
Make a block view of A
Calculate the pec on the image
Returns the laguar - Gaussian logarithm
Calculates the laguar angle of a laguar circle
Compute the sensitivity between two images
Calculate the similarity between two images
Compute the eigenvalue of an image

Get all kandi verified functions for this library.

video-quality Key Features

No Key Features are available at this moment for video-quality.

video-quality Examples and Code Snippets

No Code Snippets are available at this moment for video-quality.

Community Discussions

Vulnerabilities

No vulnerabilities reported

Install video-quality

You can download it from GitHub.
You can use video-quality 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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