OpenCV 4 with Python Blueprints - Second Edition

Working with a GPU

The environment that we create with Docker has limited access to the devices of your machine. In particular, you have seen that we have specified the camera device when running a Docker container and have mounted /tmp/.X11-unix in order to allow the Docker container to connect to the running desktop environment.

When we have custom devices such as GPUs, the integration process becomes more complicated, because the Docker container needs appropriate ways to talk to the device. Fortunately, for NVIDIA GPUs, this problem is solved with the help of NVIDIA Container Toolkit (https://github.com/NVIDIA/nvidia-docker).

Following installation of the toolkit, you can build and run GPU-accelerated Docker containers. Nvidia provides ...