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Image collection is done on any computer running Linux on the drone. Image collection accesses the camera in the same manner as the airside system.
Repository:
https://github.com/UWARG/modelimage-trainingcollection
Software
Setup - USB Camera
Open Follow the terminal and navigate instructions to the home directory: cd ~/Clone the clone the repository and setup and activate the virtual environment.
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Install packages:
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pip |
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install -r requirements.txt |
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Usage - USB Camera
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Prerequisites:
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git checkout main
git pull
git submodule update --remote --merge |
Copy the contents of imaging/rc.local/.copyme to /etc/rc.local .
Modifying
/etc/rc.localrequires superuser access (e.g.sudo)
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Disconnect all sensors
Power on the computer
Move or copy the images to be saved
Delete the images to free space for future collection
Setup - Raspberry Pi Camera Module 3
clone the repository or update it as normal (same as USB Camera)
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DO NOT activate a virtual environment: you actually want to deactivate it before you run this script. The picamera2 library is pre-installed on PiOS, and it is not encouraged to install it using pip: https://datasheets.raspberrypi.com/camera/picamera2-manual.pdf. Hence, we will use the pre-installed library instead. Those libraries cannot be easily installed using pip and require additional steps, so we just use the provided library in global space. There are some missing dependencies when installing through pip, which causes build fail. |
Usage - Raspberry Pi Camera Module 3
Option A: Run the script manually
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python picam.py |
Option B: Run the script from startup using /etc/rc.local.
Add the following line to /etc/rc.local (starts the image capturing in the background):
Make sure you don’t activate any virtual environments beforehand!
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cd /home/warg/image-collection python picam.py & |