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added reference to projects repo in readme
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Readme.md

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@@ -9,6 +9,11 @@ RT-Cloud supports any sort of machine configuration. You could run RT-Cloud enti
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For more information on RT-Cloud, see our paper in [NeuroImage 2022](https://www.sciencedirect.com/science/article/pii/S1053811922004141). If you publish work that utilized RT-Cloud, please include a citation to this paper.
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After you have installed RT-Cloud, please check out our `rtcloud-projects` repository, where we have full example projects, demos of Psychopy integration, and project templates.
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https://github.com/brainiak/rtcloud-projects
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**Overview of RT-Cloud Components**
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![](docs/rtcloud_schematic.png )<br>
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- **data_streamer** (runs on machine that recieves/sends DICOMs)
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Wait for the terminal to output "Listening on: http://localhost:8888" and then open your web browser and go to the url "localhost:8888" (if using a cloud machine, replace "localhost" to the cloud server's ip address). The login username/password for the web browser are both "test". Click the "Run" button to run through the simulated real-time scanning example.
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# RTCloud Installation & Usage
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# RTCloud Installation & Usage
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## 1. Install Docker, Singularity, or Miniconda
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