VSGAN | VapourSynth Single Image Super-Resolution Generative | Machine Learning library

by rlaPHOENiX Python Version: 1.1.0 License: MIT

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

kandi X-RAY | VSGAN Summary

VSGAN is a Python library typically used in Artificial Intelligence, Machine Learning, Generative adversarial networks applications. VSGAN has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However VSGAN build file is not available. You can install using 'pip install VSGAN' or download it from GitHub, PyPI.

VSGAN is a Single Image Super-Resolution Generative Adversarial Network (GAN) which uses the VapourSynth processing framework to handle input and output image data.

Support

Quality

Security

License

Reuse

Support

VSGAN has a low active ecosystem.

It has 84 star(s) with 10 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 14 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of VSGAN is 1.1.0

Quality

VSGAN has 0 bugs and 0 code smells.

Security

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

VSGAN code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

VSGAN 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

VSGAN releases are available to install and integrate.

Deployable package is available in PyPI.

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

VSGAN saves you 152 person hours of effort in developing the same functionality from scratch.

It has 378 lines of code, 32 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Create a sequential block shuffle block
Convolution block
Calculate the padding for the kernel size
Return the activation layer
Tile a video
Join two tiles together
Tile tensor t
Tile Tensor t into top left
Apply a clip to the video
Reshape x to depth
Forward warp
Compute the forward flow
Upsample a convolution block
Estimate the forward flow

Get all kandi verified functions for this library.

VSGAN Key Features

No Key Features are available at this moment for VSGAN.

VSGAN Examples and Code Snippets

No Code Snippets are available at this moment for VSGAN.

Community Discussions

Trending Discussions on VSGAN

Permission dialog box not opening

QUESTION

Permission dialog box not opening

Asked 2019-Apr-27 at 04:47

I am trying to read a file from my sd card. Since I have an android pie, i need to give runtime permissions to access the external storage. The problem is I am not getting the prompt which asks user that the app requests to access files,etc. And the logcat shows permission denied to access the local harddrive.

This is my mainactivity file.

...

ANSWER

Answered 2019-Apr-27 at 04:47

Please add more permission in Runtime: Manifest.permission.WRITE_EXTERNAL_STORAGE

and Manifest File:

Source https://stackoverflow.com/questions/55865464

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

Vulnerabilities

No vulnerabilities reported

Install VSGAN

You can install using 'pip install VSGAN' or download it from GitHub, PyPI.
You can use VSGAN 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

More information, installation, building, quick start, and more, is available at rlaphoenix.github.io/VSGAN. The source code to the Documentation page is available on the gh-pages branch and can be built and deployed locally. You could also just read the markdown files found in the _docs folder.

Find more information at: