The Git repo of an OpenCV Docker image , for Raspberry Pi 3 with Raspbian OS (Debian). The modules from OpenCV contrib are included as well. It is based on the resin.io python image.
See the image Docker Hub page for information on how to use the image.
If you prefer to build the image yourself (takes around 2 hours), you can do it as follows:
- Make sure docker is installed in your Raspberry Pi. See here for instructions.
- Clone this repository into your Raspberry Pi.
git clone git@github.com:mohaseeb/raspberrypi3-opencv-docker.git
- Build the image as follows (assumes you want to build the image for OpenvCV 4.1.0):
cd raspberrypi3-opencv-docker/opencv_4/4.1.0/
docker build -t my_pi_opencv_img .
- And run it
docker run -it --rm \
--name my_opencv_app_run \
my_pi_opencv_img \
python -c "import cv2; print(cv2.__version__)"
This demonstrates how you can capture video using your Raspberry Pi camera.
- Save the video capturing script to a file named
save_video.pyin your Raspberry Pi.
# based on https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_gui/py_video_display/py_video_display.html#saving-a-video
import cv2
cap = cv2.VideoCapture(0)
# Define the codec and create VideoWriter object
fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter('/videos/output.avi', fourcc, 20.0, (640, 480))
n_frames = 200
while n_frames > 0:
ret, frame = cap.read()
if ret == True:
# write the flipped frame
out.write(frame)
n_frames -= 1
else:
break
print('frames to capture: {}'.format(n_frames))
# Release everything when done
cap.release()
out.release()- Execute the script as follows (assumes the camera appears as /dev/vidoe0 on the Raspberry Pi)
# run this from the same directory as your save_video.py script
docker run -it --rm \
-v `pwd`/save_video.py:/save_video.py \
-v `pwd`:/videos \
--device /dev/video0 \
my_pi_opencv_img \
python /save_video.py- The captured video will be written to file named
output.aviin the same directory from which the command was executed.
OpenCV
Blog post on installing OpenCV 3 on Raspberry Pi
Blog post on installing OpenCV 4 on Raspberry Pi
MIT