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# DeepLabStream
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![GraphAbstract](docs/GraphAbstract.png)
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DeepLabStream is a python based multi-purpose tool that enables the realtime tracking of animals and manipulation of experiments.
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Our toolbox is adapted from the previously published [DeepLabCut](https://github.com/AlexEMG/DeepLabCut) ([Mathis et al., 2018](https://www.nature.com/articles/s41593-018-0209-y)] and expands on its core capabilities.
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Our toolbox is adapted from the previously published [DeepLabCut](https://github.com/AlexEMG/DeepLabCut) ([Mathis et al., 2018](https://www.nature.com/articles/s41593-018-0209-y)) and expands on its core capabilities.
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DeepLabStreams core feature is the real-time analysis using any type of camera-based video stream (incl. multiple streams). Building onto that, we designed a full experimental closed-loop toolkit. It enables running experimental protocols that are dependent on a constant stream of bodypart positions and feedback activation of several input/output devices. It's capabilities range from simple region of interest (ROI) based triggers to headdirection or behavior dependent stimulation.
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![DLS_Stim](docs/DLSSTim_example.gif)
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### Quick Reference:
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docs/DLSSTim_example.gif

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