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Software installation
The EdgeKit will be sent out without any CUDA related software, since it need around 5GB of disk-space. Install all needed Libraries for interacting with the GPU:
sudo apt update
sudo apt install nvidia-jetpack
You could verify the installed libraries with the command jetson_release. If the programm isn't installed you have to install the package "jetson-stats" via pip3: pip3 install -U jetson-stats
The output should look like the following, when nothing is installed:
root@edgekit-desktop:/home/edgekit# jetson_release
Software part of jetson-stats 4.2.1 - (c) 2023, Raffaello Bonghi
Model: EdgeKit nano by PCB Arts - Jetpack 4.6.3 [L4T 32.7.3]
NV Power Mode[0]: MAXN
Serial Number: [XXX Show with: jetson_release -s XXX]
Hardware:
- P-Number: p3448-0002
- Module: NVIDIA Jetson Nano module (16Gb eMMC)
Platform:
- Distribution: Ubuntu 18.04 Bionic Beaver
- Release: 4.9.299-tegra
jtop:
- Version: 4.2.1
- Service: Active
Libraries:
- CUDA: Not installed
- cuDNN: Not installed
- TensorRT: Not installed
- VPI: Not installed
- Vulkan: 1.2.70
- OpenCV: Not installed
After running the nvidia-jetpack installation you should have version numbers behind all Libraries.
For installing VSCodium on an EdgeKit just go to the download-page (via EdgeKit GUI or CLI): https://github.com/VSCodium/vscodium/releases and choose the latest deb package for arm64 plattforms. Download it via GUI or via the CLI command wget.
Install the VSCodium on the EdgeKit with sudo dpkg -i codium_1.80.1.23194_arm64.deb.
Start VSCodium in a shell with the command: codium
In case the GUI does not open run: codium --no-sandbox
In this catalog you will find the latest deepstream installation for NVIDIA Jetson. Please download the arm64.deb package: https://catalog.ngc.nvidia.com/orgs/nvidia/resources/deepstream
Installation
sudo apt-get install ./deepstream-6.3_6.3.0-1_arm64.deb
Install TensorFlow and its dependencies by following the instructions provided here. Please do not using the sudo command to install packages within your (virtual) environment.
Verify installation with:
$ python3
>>> import tensorflow
This command should execute without error.
To test the GPU utilization you can use this script test script and verify the usage by the jtop command.
Greetings from Germany 👋