11 KiB
PlanktoScop Main Repository
The PlanktoScop is an open and affordable modular imaging platform for citizen oceanography.
This GitHub is part of a community that you can find on its website.
Fast Setup
Before going further, notice that you can download the image disk already setup without having to deal with all these command lines. Jump here : http://planktonscope.su.domains/Images_raspberry/Raspbian_Buster_Morphocut_WiFi.img
Expert Setup
After getting your kit and finding the necessary components, but before assembling your kit, you should take the time to do a mockup build and setup your Raspberry.
Install and setup Raspbian on your Raspberry Pi
Computer setup
In order to make it easy to connect to the PlanktoScop, you may want to install avahi or the Bonjour service on any computer you will use to access the PlanktoScop interface. This will allow you to connect to the PlantoScop using an address similar such as http://planktoscope.local instead of an IP address.
Download the image
The latest Raspbian version can always be downloaded from the Raspberry Pi Downloads page. For a first build, it's recommende to download an image of Raspbian Buster with desktop.
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 image zip file you just downloaded.
Select the SD card you want to write your image to.
Review your selections and click Flash! to begin writing data to the SD card.
Prepare your Raspberry Pi
Getting Started with your Raspberry Pi
Plug the SD Card in your Raspberry Pi and connect your Pi to a screen, mouse and a keyboard. Check the connection twice before plugging the power.
The first boot to the desktop may take up to 120 seconds. This is normal and is caused by the image expanding the filesystem to the whole SD card. DO NOT REBOOT before you reach the desktop.
Finish the setup
Make sure you have access to internet and update/upgrade your fresh Raspbian install.
Update your Pi first. Open up a terminal, and do the following:
sudo apt-get update -y
sudo apt-get upgrade -y
You can now reboot your Pi safely.
sudo reboot now
Raspberry Pi configuration
Enable Camera/SSH/I2C in raspi-config
Open up a terminal once again, and access the configuration tool:
sudo raspi-config
While you're here, a wise thing to do would be to change the default password for the pi user. This is very warmly recommended if your PlanktoScop is connected to a shared network you do not control. Just select the first option 1 Change User Password.
You may also want to change the default hostname of your Raspberry. To do so, choose option 2 Network Options then N1 Hostname. Choose a new hostname. We recommend using planktoscope.
We need to activate a few things for the PlanktoScop to work properly.
First, we need to activate the camera interface. Choose 5 Interfacing Options, then P1 Camera and Yes.
Now, you can go to 5 Interfacing Options, then P2 SSH. Choose Yes to activate the SSH access.
Again, select 5 Interfacing Options, then P4 SPI. Choose Yes to enable the SPI interface.
One more, select 5 Interfacing Options, then P5 I2C. Choose Yes to enable the ARM I2C interface of the Raspberry.
Finally, select 5 Interfacing Options, then P6 Serial.
This time, choose No to deactivate the login shell on the serial connection, but then choose Yes to keep the Serial port hardware enabled.
These steps can also be done from the Raspberry Pi Configuration GUI tool that you can find in Main Menu > Preferences. Go to the Interfaces tab. Pay attention, here the Serial Port must be enabled, but the Serial Port Console must be disabled.
Reboot your Pi safely.
sudo reboot now
Install the needed libraries for the PlanktoScop
Most of the following happens in a command line environment. If you are using the desktop, please start a terminal emulator.
You can also connect to your PlanktoScop by using ssh using ssh pi@planktoscope.local.
You can then run the following to make sure your Raspberry has the necessary components to install and build everything it needs:
sudo apt-get install build-essential python3 python3-pip git
Install CircuitPython
Start by following Adafruit's guide. You can start at the chapter Install Python Libraries.
For the record, the command are as following, however, Adafruit's page might have been updated, so please make sure this is still needed:
pip3 install RPI.GPIO
pip3 install adafruit-blinka
sudo pip3 install adafruit-circuitpython-motorkit
It is recommended to test this setup by creating this small script under the name blinkatest.py and running it:
#!/usr/bin/python3
import board
import digitalio
import busio
print("Hello blinka!")
# Try to great a Digital input
pin = digitalio.DigitalInOut(board.D4)
print("Digital IO ok!")
# Try to create an I2C device
i2c = busio.I2C(board.SCL, board.SDA)
print("I2C ok!")
# Try to create an SPI device
spi = busio.SPI(board.SCLK, board.MOSI, board.MISO)
print("SPI ok!")
print("done!")
To run the script, just run the following:
chmod +x blinkatest.py
./blinkatest.py
The output should be similar to this:
pi@planktoscope:~ $ ./test/blinkatest.py
Hello blinka!
Digital IO ok!
I2C ok!
SPI ok!
done!
Install RPi Cam Web Interface
You can find more information about the RPi Cam Web Interface on eLinux' website.
To set it up, 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. Once everything is installed, press Enter to start the RPi Cam Web Interface now.
To test the interface locally, try accessing this url from the browser in the Raspberry: http://localhost/html
You can also try to access this page from another computer connected to the same network.
If your computer has avahi or the Bonjour service installed and running, you can directly use this url: http://raspberrypi.local/html/ .
If this is not the case, you first need to find the IP address of your Raspberry Pi by running the following:
sudo ip addr show | grep 'inet 1'
The web page can then be accessed at http://[IP_ADDRESS]/html/.
If the interface is loading and a picture is displayed, you can stop this interface for now by simply running ./stop.sh.
Install Ultimate GPS HAT
You can start by testing that the GPS module is working. Either install your PlanktoScop with a view of the sky, or connect the external antenna.
Now you need to run the following:
sudo apt-get install gpsd gpsd-clients
stty -F /dev/serial0 raw 9600 cs8 clocal -cstopb
cat /dev/serial0
If the GPS works, you should now see NMEA sentences scrolling:
$GPGGA,000908.799,,,,,0,00,,,M,,M,,*7E
$GPGSA,A,1,,,,,,,,,,,,,,,*1E
$GPGSV,1,1,00*79
$GPRMC,000908.799,V,,,,,0.00,0.00,060180,,,N*44
$GPVTG,0.00,T,,M,0.00,N,0.00,K,N*32
$GPGGA,000909.799,,,,,0,00,,,M,,M,,*7F
$GPGSA,A,1,,,,,,,,,,,,,,,*1E
$GPRMC,000909.799,V,,,,,0.00,0.00,060180,,,N*45
$GPVTG,0.00,T,,M,0.00,N,0.00,K,N*32
$GPGGA,000910.799,,,,,0,00,,,M,,M,,*77
$GPGSA,A,1,,,,,,,,,,,,,,,*1E
$GPRMC,000910.799,V,,,,,0.00,0.00,060180,,,N*4D
$GPVTG,0.00,T,,M,0.00,N,0.00,K,N*32
Until you get a GPS fix, most of the sentences are empty (see the lines starting with GPGSA and with lot of commas).
You can find more information in this hardware module in Adafruit documentation at Installing Adafruit GPS HAT or on this page to use Python Thread with GPS HAT
Install RGB Cooling HAT
To setup the RGB Cooling HAT, you just need to clone and build the WiringPi library:
git clone https://github.com/WiringPi/WiringPi.git
cd WiringPi
sudo ./build
gpio -v
Install Node-RED
Installing Node-RED on Raspberry Pi
Prerequisites
Ensure npm is able to build any binary modules it needs to install.
sudo apt-get install build-essential
Download and installation
To install Node.js, npm and Node-RED onto a Raspberry Pi, run the following command will that download and install them:
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
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
Make sure NodeRed is correctly installed by reaching the following page from the broswer of your pi : http://localhost:1880.
Install few nodes
These nodes will be used in Node-RED:
cd .node-red/
npm install node-red-dashboard
npm install node-red-contrib-python3-function
npm install node-red-contrib-camerapi
npm install node-red-contrib-gpsd
npm install node-red-contrib-web-worldmap
Import the last GUI
Import the lastest version of the GUI from https://raw.githubusercontent.com/tpollina/PlanktonScope/master/scripts/flows_planktonscope.json>
Install Mosquitto MQTT
In order to send and receive from Node-RED:
sudo apt-get install mosquitto mosquitto-clients
Install mqtt-paho
In order to send and receive from python:
pip3 install paho-mqtt
Install OpenCV
Use the quick version without virtual env https://www.pyimagesearch.com/2019/09/16/install-opencv-4-on-raspberry-pi-4-and-raspbian-buster/
Install MorphoCut
MorphoCut is packaged on PyPI and can be installed with pip:
sudo apt-get install python3-scipy
pip3 install -U git+https://github.com/morphocut/morphocut.git
Finishing the install
Make sure to update your Pi
sudo apt-get update -y
sudo apt-get full-upgrade -y
Reboot your Pi safely
sudo reboot now
Useful later maybe
Download the GitHub repo
At this link : https://github.com/tpollina/PlanktonScope/archive/master.zip Unzip to a specific location:
unzip /home/pi/Downloads/PlanktonScope-master.zip -d /home/pi/
mv /home/pi/PlanktonScope-master /home/pi/PlanktonScope
Update node-RED interface
To update the interface, you can just download the lastest .json file:
wget -P $HOME/.node-red https://raw.githubusercontent.com/tpollina/PlanktonScope/master/scripts/flows_planktonscope.json
Share WiFi via Ethernet
At this link : https://www.instructables.com/id/Share-WiFi-With-Ethernet-Port-on-a-Raspberry-Pi/