planktoscope/install.rst
2019-12-16 17:15:37 -08:00

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PlanktonScope Installation
==========================
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Install Raspbian on your Raspberry Pi
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Download the image
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Download the .zip file of Raspbian Buster with desktop from the Raspberry Pi website Downloads page.
Writing an image to the SD card
Download the latest version of balenaEtcher and install it.
Connect an SD card reader with the micro SD card inside.
Open balenaEtcher and select from your hard drive the Raspberry Pi .zip file you wish to write to the SD card.
Select the SD card you wish to write your image to.
Review your selections and click 'Flash!' to begin writing data to the SD card.
Prepare your Raspberry Pi
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https://projects.raspberrypi.org/en/projects/raspberry-pi-getting-started/
Plug the SD Card in your Raspberry Pi
Connect your Pi to a screen, mouse, keyboard and power
Finish the setup
Make sure you have access to internet and update/upgrade your fresh raspbian
Update your Pi first
::
sudo apt-get update -y
sudo apt-get upgrade -y
Reboot your Pi safely
::
sudo reboot now
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Raspberry Pi configurations
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Enable Camera/SSH/I2C in raspi-config
Open up the configuration page and select Interfacing Options by typing this command:
::
sudo raspi-config
Select **Serial**
Select **NO**
Keep the **Serial Port Hardware enabled**
Reboot your Pi safely
::
sudo reboot now
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Install the needed libraries for the PlanktonScope
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Install CircuitPython
==================
https://learn.adafruit.com/circuitpython-on-raspberrypi-linux/installing-circuitpython-on-raspberry-pi
Run the following command to install adafruit_blinka
::
pip3 install adafruit-blinka
sudo pip3 install adafruit-circuitpython-motorkit
Install RPi Cam Web Interface
==================
https://elinux.org/RPi-Cam-Web-Interface
Clone the code from github and enable and run the install script with the following commands
::
git clone https://github.com/silvanmelchior/RPi_Cam_Web_Interface.git
cd RPi_Cam_Web_Interface
./install.sh
Press Enter to allow default setting of the installation
Press Enter to start RPi Cam Web Interface now
Found what is the IP of your Raspberry Pi
::
sudo ip addr show | grep 'inet 1'
Reach the url on a local browser : http://127.0.0.1/html/
Install Ultimate GPS HAT
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https://learn.adafruit.com/adafruit-ultimate-gps-hat-for-raspberry-pi/pi-setup
http://www.danmandle.com/blog/getting-gpsd-to-work-with-python/
Install RGB Cooling HAT
==================
https://www.yahboom.net/study/RGB_Cooling_HAT
https://github.com/YahboomTechnology/Raspberry-Pi-RGB-Cooling-HAT
::
git clone https://github.com/WiringPi/WiringPi.git
cd WiringPi
sudo ./build
sudo apt-get install gcc
Install Node-RED
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https://nodered.org/docs/getting-started/raspberrypi
Prerequisites
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Ensure npm is able to build any binary modules it needs to install.
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sudo apt-get install build-essential
Download and installation
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To install Node.js, npm and Node-RED onto a Raspberry Pi, run the following command will that download and install them:
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bash <(curl -sL https://raw.githubusercontent.com/node-red/linux-installers/master/deb/update-nodejs-and-nodered)
Due to the limited memory of the Raspberry Pi, you will need to start Node-RED with an additional argument to tell the underlying Node.js process to free up unused memory sooner than it would otherwise.
::
node-red-pi --max-old-space-size=256
Autostart on boot
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Run Node-RED when the Pi is turned on, or re-booted, enable the service to autostart by running the command:
::
sudo systemctl enable nodered.service
Check the installation
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Make sure NodeRed is correctly installed by reaching the following page from the broswer of your pi :
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http://localhost:1880.
Install few nodes
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These nodes will be used in Node-RED:
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cd .node-red/
npm install node-red-dashboard
npm install node-red-contrib-multipart-stream-decoder
npm install node-red-node-base64
npm install node-red-contrib-interval
npm install node-red-contrib-python3-function
npm install node-red-contrib-camerapi
npm install node-red-node-mysql
npm install node-red-contrib-calc
Install MorphoCut
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https://morphocut.readthedocs.io/en/stable/installation.html
MorphoCut is packaged on PyPI and can be installed with pip
::
pip install morphocut