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The official Animation Compression Library Unreal Engine 4 and 5 plugin

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nfrechette/acl-ue4-plugin

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IMPORTANT NOTICE

As of Unreal Engine 5.3, this plugin comes out of the box and is distributed and maintained by Epic in their fork. See here for details.

This repository will remain mostly read-only following the next minor release and only accept critical fixes. Contributions should instead be directed to the Unreal Engine main development repository where the ACL Plugin fork lives (under Engine/Plugins/Animation/ACLPlugin).

Support questions and requests should be directed to the Unreal Developer Network (UDN).

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Animation Compression Library Unreal Engine Plugin

This plugin integrates the Animation Compression Library version v2.1.0 within Unreal Engine 4 and 5. It is suitable for every animation clip and platform as it features a low memory footprint, high accuracy, and very fast compression and decompression.

Compared to UE 5.2.0, the ACL plugin compresses up to 2.9x smaller, is up to 2x more accurate, up to 2x faster to compress, and up to 6.3x faster to decompress (results may vary depending on the platform and data).

The documentation on how to use it can be found here along with performance results.

You can find the ACL plugin on the Unreal Marketplace here.

Getting started

If you would like to contribute to the ACL UE Plugin, make sure to check out the contributing guidelines.

NOTE: If you clone this repository, you MUST run the script under .\Tools\prepare_release.py to package the plugin. It pre-processes some required files.

License, copyright, and code of conduct

This project uses the MIT license.

Copyright (c) 2018 Nicholas Frechette

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

Contributors ✨

Thanks goes to these wonderful people (emoji key):

Meradrin
Meradrin

💻 📦
r-lyeh
r-lyeh

📖
nucleiis
nucleiis

🐛
fjoanisPhxlabs
fjoanisPhxlabs

💻
EAirPeter
EAirPeter

💻
pmsimardeidos
pmsimardeidos

💻 🐛

This project follows the all-contributors specification. Contributions of any kind welcome!