Overview
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/image-collection
Software
Setup - USB Camera
Follow the instructions to clone the repository and activate the environment: Autonomy Workflow Software
Install packages:
pip install -r requirements.txt
Usage - USB Camera
Prerequisites:
The username and home directory of the computer used is
warg
If it is not, change the username and home directory: https://www.serverlab.ca/tutorials/linux/administration-linux/how-to-rename-linux-users-and-their-home-directory/
Update the repository by running:
git checkout main git pull git submodule update --remote --merge
Copy the contents of rc.local.copyme
to /etc/rc.local
.
Modifying
/etc/rc.local
requires superuser access (e.g.sudo
)
Collecting images:
Connect the camera to the computer
Power on the computer:
If camera is not connected, image collection fails to start. Power off the computer and go to step 1
Image collection is automatically run on startup through the
/etc/rc.local
file
Collect images by pointing the camera towards the object(s) of interest
Power off the computer
Accessing images:
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)
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.
Usage - Raspberry Pi Camera Module 3
Option A: Run the script manually
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!
python picam.py &