preprocess_Imdb-wiki-faces | convert Imdb-wiki dataset

by RobZuazua Python Version: Current License: No License

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kandi X-RAY | preprocess_Imdb-wiki-faces Summary

preprocess_Imdb-wiki-faces is a Python library. preprocess_Imdb-wiki-faces has no bugs, it has no vulnerabilities and it has low support. However preprocess_Imdb-wiki-faces build file is not available. You can download it from GitHub.

convert Imdb-wiki dataset into folder structure for deep learning

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Support

preprocess_Imdb-wiki-faces 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.

preprocess_Imdb-wiki-faces has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of preprocess_Imdb-wiki-faces is current.

Quality

preprocess_Imdb-wiki-faces has no bugs reported.

Security

preprocess_Imdb-wiki-faces has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

preprocess_Imdb-wiki-faces does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

preprocess_Imdb-wiki-faces releases are not available. You will need to build from source code and install.

preprocess_Imdb-wiki-faces has no build file. You will be need to create the build yourself to build the component from source.

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preprocess_Imdb-wiki-faces Key Features

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preprocess_Imdb-wiki-faces Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install preprocess_Imdb-wiki-faces

You can download it from GitHub.
You can use preprocess_Imdb-wiki-faces 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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