sudo apt-get update
sudo apt-get install \
ca-certificates \
curl \
gnupg \
lsb-release
curl -L https://aka.ms/InstallAzureCli | bash
Download sdkmanager from https://developer.nvidia.com/nvidia-sdk-manager
sudo apt install ./sdkmanager-[version].deb
sdkmanager --query noninteractive --logintype devzone
Need to add file://
before the local folder path
pip install mypackage --no-index --find-links file:///your/local/folder
Download sdkmanager from https://developer.nvidia.com/nvidia-sdk-manager
sudo apt install ./sdkmanager-[version].deb
sdkmanager --query noninteractive --logintype devzone
sdkmanager --cli install --logintype devzone --product Jetson --host --target P2888-0001 --targetos Linux --version 4.4 --flash all
sudo -S apt-get update && sudo -S apt-get check
sudo umount /data/gleamer_blobs_premium
Careful ! The command is umount
, not unmount
!
az storage blob upload-batch -d tmp --account-name glmaidata -s /home/ubuntu/prod_zekun/ai-gleamer/ai-mapping
There are three ways to install current BV image to Jetson’s internal storage:
- store docker tar in external storage (like USB disk), load the tar directly to internal storage with
docker load --input /path/to/gleamer_BV.tar
- store docker tar on the network (local or public) and generate a URL to download the tar. Then stream the tar and load on the fly. Here is a demo:
curl "https://url/to/ubuntu.tar" | docker load
If your docker file looks like this:
FROM yourbase
....
ENTRYPOINT ["python", <yourScript>]
Then you can just run the script by running the container itself: