Face-and-Image-super-resolution

by Alpkant Python Version: Current License: MIT

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

kandi X-RAY | Face-and-Image-super-resolution Summary

Face-and-Image-super-resolution is a Python library. Face-and-Image-super-resolution has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Face-and-Image-super-resolution build file is not available. You can download it from GitHub.

Face-and-Image-super-resolution

Support

Quality

Security

License

Reuse

Support

Face-and-Image-super-resolution has a low active ecosystem.

It has 3 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

Face-and-Image-super-resolution has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Face-and-Image-super-resolution is current.

Quality

Face-and-Image-super-resolution has no bugs reported.

Security

Face-and-Image-super-resolution has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Face-and-Image-super-resolution 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

Face-and-Image-super-resolution releases are not available. You will need to build from source code and install.

Face-and-Image-super-resolution 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 Face-and-Image-super-resolution and discovered the below as its top functions. This is intended to give you an instant insight into Face-and-Image-super-resolution implemented functionality, and help decide if they suit your requirements.

Forward the layer
Main function
Return data loader
Converts data into a Variable object
Compute the activation statistics of a single file
Get activations from images
Calculate the mean and sigma of each image
Calculate the FID for a given list of paths
Calculate the distance between two Gaussians
Compute the activation statistics for a given path
Returns a data loader for data
Convert data into a Variable

Get all kandi verified functions for this library.

Face-and-Image-super-resolution Key Features

No Key Features are available at this moment for Face-and-Image-super-resolution.

Face-and-Image-super-resolution Examples and Code Snippets

No Code Snippets are available at this moment for Face-and-Image-super-resolution.

Community Discussions

No Community Discussions are available at this moment for Face-and-Image-super-resolution.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install Face-and-Image-super-resolution

You can download it from GitHub.
You can use Face-and-Image-super-resolution 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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