Skip to content
Jetson nvidia dockers
Shell Python Dockerfile
Branch: master
Clone or download
Latest commit 03d482a Aug 11, 2019
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
overlay_example add pytorch_base docker file Aug 10, 2019
pytorch_base remove torchvisino build Aug 11, 2019
tf_base add docker.io/ Aug 10, 2019
.gitignore init Aug 10, 2019
LICENSE init Aug 10, 2019
README.md update readme Aug 10, 2019

README.md

Jetson Nvidia dockers

Tutorial - How to run Keras model on Jetson Nano in Nvidia Docker container

In Jetson Nano command line, pull the Docker container from Docker Hub like this.

docker pull docker.io/zcw607/jetson:r1.0.1

Then start the container with the following command.

docker run --runtime nvidia --network host -it -e DISPLAY=$DISPLAY -v /tmp/.X11-unix/:/tmp/.X11-unix zcw607/jetson:r1.0.1

Check TensorFlow GPU is installed, type python3 in the command then,

from tensorflow.python.client import device_lib
device_lib.list_local_devices()

If everything works, it should print

Read the tutorial for more instructions.

You can’t perform that action at this time.