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==================== | ||
Contribute | ||
==================== | ||
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The main idea is that researchers/developers write their own micro modules with ZeroMQ and wrap them up as Docker containers. | ||
Docker will make the modules OS independent and a default ZeroMQ interface let's these modules communicate with each other. | ||
The ideal case is where a researcher/developer uploads a module, an other user downloads it, and he/she only has to add a few lines to ``docker-compose.yml`` to start using it. | ||
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* Image that you have created a better FACS value extracter. You only have to add a ZeroMQ component, and no modification is needed in the other modules or visualization. or | ||
* You want to enable facial animation in Unreal. You only need to include a ZeroMQ subscriber component to your Unreal project and you can use the other modules as is. | ||
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By creating a repository of FACSvatar compatible modules, we can make more advanced Human-Agent Interaction (HAI) systems and don't have to start a project from scratch if we only want to focus on 1 component. |
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firstrun | ||
docker | ||
deeplearning | ||
contribute | ||
license | ||
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Indices and tables | ||
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