AdaIN-Caffe2 | Caffe2 implementation of the paper Arbitrary Style Transfer

by ca1773130n Python Version: Current License: MIT

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kandi X-RAY | AdaIN-Caffe2 Summary

AdaIN-Caffe2 is a Python library. AdaIN-Caffe2 has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However AdaIN-Caffe2 build file is not available. You can download it from GitHub.

A Caffe2 implementation of the paper "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization".

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Support

AdaIN-Caffe2 has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

AdaIN-Caffe2 has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of AdaIN-Caffe2 is current.

Quality

AdaIN-Caffe2 has no bugs reported.

Security

AdaIN-Caffe2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

AdaIN-Caffe2 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

AdaIN-Caffe2 releases are not available. You will need to build from source code and install.

AdaIN-Caffe2 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.

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AdaIN-Caffe2 Key Features

No Key Features are available at this moment for AdaIN-Caffe2.

AdaIN-Caffe2 Examples and Code Snippets

No Code Snippets are available at this moment for AdaIN-Caffe2.

Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install AdaIN-Caffe2

You can download it from GitHub.
You can use AdaIN-Caffe2 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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