This repository is developed in Fish-IoT project

https://www.tequ.fi/en/project-bank/fish-iot/

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tequ-jetson-setup

Basic steps to configure Jetson Board

Actions

1. Configure system & Install Jetpack & Software

Installation steps depends of your Jetson board. Install latest Jetpack that is supported.

Official instructions for NVIDIA Jetson´s:

• https://developer.nvidia.com/embedded/jetpack

Short instructions for Neousys NRU-120S

• Official Neousys instructions: https://neousys.gitbook.io/nru-series/nru-series/3.-reflash-nru-110v-or-nru-120s
• Prepare host machine with Ubuntu Linux 18.04
  • Get external SSD drive ~256 GB or bigger
  • Download Linux Ubuntu 18.04 image and flash it to usual USB-stick
  • Boot your system from USB-stick and install Ubuntu to external SSD drive
  • Boot your system from external SSD drive
  • Contact your dealer for access to Neousys FTP server and download "NRU-100_JetPack4.6.1_AGX64GBor32GB)" system image
• Install updates
  • sudo apt-get update && sudo apt-get upgrade
• Flash official Jetpack 4.6.1
  • Install NVIDIA SDK Manager https://developer.nvidia.com/drive/sdk-manager
  • Launch NVIDIA SDK Manager and prepare Jetpack 4.6.1 for Jetson AGX Xavier Dev kit
  • Flash from command line from folder $HOME/nvidia/nvidia_sdk/JetPack_4.6.1_Linux_JETSON_AGX_XAVIER/Linux_for_Tegra
    • sudo ./flash.sh jetson-agx-xavier-devkit mmcblk0p1
• Flash Neousys Jetpack 4.6.1
  • Copy NRU_JetPack4.6.1_v1.1.dtb to $HOME/nvidia/nvidia_sdk/JetPack_4.6.1_Linux_JETSON_AGX_XAVIER/Linux_for_Tegra
  • Copy system.img to $HOME/nvidia/nvidia_sdk/JetPack_4.6.1_Linux_JETSON_AGX_XAVIER/Linux_for_Tegra/bootloader
  • Flash from command line from folder $HOME/nvidia/nvidia_sdk/JetPack_4.6.1_Linux_JETSON_AGX_XAVIER/Linux_for_Tegra
    • sudo ./flash.sh -r -d NRU_JetPack4.6.1_v1.1.dtb jetson-agx-xavier-devkit mmcblk0p1

2. Disable GUI (optional)

sudo systemctl stop display-manager

sudo systemctl set-default multi-user.target

Back to gui

sudo systemctl start display-manager

sudo systemctl set-default graphical.target

3. Run update & upgrade

sudo apt update && sudo apt upgrade

4. Install jtop for analyzing (optional)

sudo apt-get install python3-pip

sudo -H pip3 install -U jetson-stats

jtop

5. Install Node-RED

sudo apt-get install curl

bash <(curl -sL https://raw.githubusercontent.com/node-red/linux-installers/master/deb/update-nodejs-and-nodered)

node-red admin init

sudo systemctl enable nodered.service

sudo systemctl start nodered.service

6. Upgrade Node.js (optional)

curl -fsSL https://deb.nodesource.com/setup_20.x | sudo -E bash -

sudo apt-get install -y nodejs

7. Enable jetson-clocks at boot (optional)

sudo apt install nano -y

sudo nano /etc/rc.local

Add to file:

#!/bin/sh -e
# rc.local
#Maximize performances
( sleep 60 && /usr/bin/jetson_clocks )&


exit 0

Save and exit

sudo chmod +x /etc/rc.local

Jetson clocks will be enabled after 60 seconds since boot.

8. Reboot

sudo reboot

Changing Python version

For example in Jetson Nano install Python 3.7

sudo apt install python3.7-dev

sudo rm /usr/bin/python3

sudo ln -s /usr/bin/python3.7 /usr/bin/python3

python3

Next steps

Tensorflow 2 & Node-RED with Jetson Nano / Xavier NX

https://github.com/Lapland-UAS-Tequ/tequ-jetson-nodered-tensorflow

Triton Inference Server

https://github.com/Lapland-UAS-Tequ/tequ-setup-triton-inference-server

Basler CV cameras with Jetson Nano / Xavier NX

https://github.com/Lapland-UAS-Tequ/tequ-jetson-basler