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Merge pull request #102 from LimaoC/readmetweak
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FREADME.md

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@@ -21,6 +21,7 @@ For users setting up a Raspberry Pi for use in the SDG, see [Deployment](#deploy
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## Dependencies
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The main project dependencies are specified in [pyproject.toml](./pyproject.toml). Notably:
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- [mediapipe](https://ai.google.dev/edge/mediapipe/solutions/guide) provides the body landmark detection model.
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- [piicodev](https://pypi.org/project/piicodev/) provides modules for interfacing with Raspberry Pi peripherals.
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- [face-recognition](https://pypi.org/project/face-recognition/) provides the face recognition model.
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To set up the Pi's environment, deploy the code base, and start the program follow the following steps.
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1. Flash an SD card with a fresh installation of the 64bit Raspberry Pi OS using the [official imager](https://www.raspberrypi.com/software/). When imaging the SD card you must turn on the SSH connections in the edit OS settings menu.
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2. Plug the SD card into the Pi and turn it on. Wait for the green light to stop flashing before going to step 3.
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3. Clone this git directory to your computer.
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4. From the base directory of the project run,
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```
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./run.sh [Pi Hostname/IP] [Pi Username]

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