This is a tutorial how to setup a docker container containing opencv with gstreamer integration for usage in python e.g. for openHD. Tested with windows host.
docker build -t opencv-test .
- with windows file system folder mounted
winpty docker run -v //c/data:/home/data -p 5000:5000/udp -p 5004:5004/udp -it opencv-test
- with wsl file system folder mounted
- this is faster since docker and wsl share the same filesystem
winpty docker run -v //wsl$/Ubuntu-20.04/home/<user_name>/data:/home/data -it opencv-test
- note:
winptyis required when executing on windows from git-bash - port 5000 is the videao stream
- port 5004 is mavlink
in power shell:
wsl --set-default-version 2
wsl --install -d Ubuntu-20.04
wsl -l -o // options
wsl -l -v // installed
// to delete it:
wsl --unregister Ubuntu-20.04
in explorer: \\wsl$
- check for data traffic :
netcat -ul 5000 - send test signal from console:
// sample signal
gst-launch-1.0 videotestsrc ! x264enc ! video/x-h264, stream-format=byte-stream ! udpsink host=127.0.0.1 port=5000
// from cam (untested)
gst-launch-1.0 v4l2src device=/dev/video0 ! h264parse ! avdec_h264 ! udpsink host=127.0.0.1 port=5000
- receive signal from console source:
gst-launch-1.0 udpsrc port=5000 ! h264parse ! avdec_h264 ! autovideosink sync=false
check for udp traffic:
apt-get install tcpdump
tcpdump -n udp port 5000
- create a new file test.py in your mounted data folder (e.g. C:/data)
import time
import cv2
cap = cv2.VideoCapture("udpsrc port=5000 ! h264parse ! decodebin ! videoconvert ! appsink", cv2.CAP_GSTREAMER)
while True:
ret,frame = cap.read()
if not ret:
print("no frame")
time.sleep(1)
continue
print("got frame")
cv2.imwrite('test.jpg', frame)
cv2.destroyAllWindows()
cap.release()
- connect your wifi to the openHD network, pw:
wifiopenhd - run the container and the python file
winpty docker run -v //c/data:/home/data -p 5000:5000/udp -it opencv-test
cd /home/data
python3 test.py
- end python script by pressing
ctrl + C