pytorch-AdaIN | unofficial pytorch implementation of a paper , Arbitrary

by shiyutang Python Version: Current License: MIT

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

kandi X-RAY | pytorch-AdaIN Summary

pytorch-AdaIN is a Python library. pytorch-AdaIN has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

This is an unofficial pytorch implementation of a paper, Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization [Huang+, ICCV2017]. I'm really grateful to the original implementation in Torch by the authors, which is very useful.

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Support

pytorch-AdaIN has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

pytorch-AdaIN has no issues reported. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pytorch-AdaIN is current.

Quality

pytorch-AdaIN has no bugs reported.

Security

pytorch-AdaIN has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

pytorch-AdaIN 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

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

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

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pytorch-AdaIN Key Features

No Key Features are available at this moment for pytorch-AdaIN.

pytorch-AdaIN Examples and Code Snippets

No Code Snippets are available at this moment for pytorch-AdaIN.

Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install pytorch-AdaIN

You can download it from GitHub.
You can use pytorch-AdaIN 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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