Docker image based on Ubuntu 16.04 with python 2.7 and compiled opencv 3.4.0 with all modules from https://github.com/opencv/opencv_contrib

• https://github.com/opencv/opencv/blob/master/LICENSE
• https://github.com/opencv/opencv_contrib/blob/master/LICENSE

In your python script simply import OpenCV import cv2.

$ xhost +local: # (optional) for displaying images with cv.imshow()

$ docker run -it --rm --device=/dev/video0 -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=$DISPLAY -v ~/myscripts/:/data dymat/opencv python /data/video.py

If you need OpenCV with CUDA support:

$ docker pull dymat/opencv:cuda

If you want to use this image on ARM-Architectures use dymat/opencv:arm32v7, which is based on arm32v7/ubuntu and compiled on Raspberry Pi 3 (ARMv7).

$ docker pull dymat/opencv:arm32v7