install_jetson_yocto - AESD-Course-Project/AESD-Course-Project.github.io GitHub Wiki

Install Jetson Binaries

  • Install SDK Manager
wget https://developer.nvidia.com/nvsdk-manager $HOME/Downloads

  • Setup the Development Environment

    • Create an account and log into the SDK Manager
    • From the Product Category panel, select Jetson.
    • From the Hardware Configuration panel, select the host machine and target hardware.
    • Step 1
    • Select Target operating system as "Linux JetPack 4.5.1"
    • Select Target hardware as Jetson Nano 2GB developer kit version / Jetson Nano kit version.
    • Click Continue to proceed to the next step.

  • Step 2: Review Components and Accept Licenses

    • If you want SDK Manager to download all setup files to a location other than the default path, go to the Download & Install Options located at the bottom of the screen, then select the path you wish to use.
    • ONLY DOWNLOAD THE FILES, NO INSTALLATION IS NEEDED
    • Step 2
    • Select Continue to proceed to the next step.

  • Step 3: Installation

    • Before the installation begins, SDK Manager prompts you to enter your sudo password. (This should not be needed unless you have selected Install in the previous step).
    • Step 3
    • The display shows the progress of the download and installation of the software.
    • At the top, you can toggle between the Details and Terminal tabs. The Terminal tab shows detailed information about the download and installation, with any errors highlighted.
    • The necessary binaries should now be installed under $HOME/Downloads/nvidia/skdm_downloads

Install the dependencies for OE4T Jetson meta-tegra and tegra-demo-distro

  • Install the necessary dependencies
sudo apt-get install -y gawk wget git-core diffstat unzip texinfo gcc-multilib build-essential chrpath socat cpio python3 python3-pip python3-pexpect xz-utils debianutils iputils-ping python3-git python3-jinja2 libegl1-mesa libsdl1.2-dev pylint3 xterm
sudo apt install -y gcc make build-essential gcc-multilib dkms mesa-utils
sudo apt install -y gcc-8 
sudo apt install -y g++-8 -y
sudo apt-get install -y libnvidia-container1
sudo apt-get install -y libnvidia-container-tools
sudo apt install -y build-essential cmake git python3-colcon-common-extensions python3-pip python-rosdep python3-vcstool wget
sudo apt-get install -y docker-ce docker-ce-cli containerd.io 
sudo apt install -y --no-install-recommends libasio-dev libtinyxml2-dev
sudo apt-get install -y libcppunit-dev
sudo apt-get install -y python3-babeltrace
sudo apt-get install -y python3-pygraphviz
sudo apt-get install -y clang-format
sudo apt-get install -y python3-mock
sudo apt-get install -y libzstd-dev
sudo apt-get install -y libbenchmark-dev
sudo apt-get install -y python3-nose
sudo apt-get install -y libspdlog-dev
sudo apt-get install -y clang-tidy
sudo apt-get install -y liblog4cxx-dev
sudo apt-get install -y libcunit1-dev
sudo apt-get install -y python3-mypy
sudo apt-get install -y python3-pytest-mock
sudo apt-get install -y python3-lttng

Install Yocto reposities and dependencies for Jetson NANO only (Scroll below for Jetson-Nano 2GB)

###############################################
## IMPORTANT STEP 
# Nvidia sets up major components as binaries 
##
###############################################
  • Download the meta-tegra layer
git clone [email protected]:OE4T/meta-tegra.git
  • Download the tegra-demo-distro
git clone [email protected]:OE4T/tegra-demo-distro.git
  • Get into the directory
cd tegra-demo-distro/
  • Select the necessary directory
# Branches Currently available under git clone [email protected]:OE4T/tegra-demo-distro.git
# master - never stable. You probably don't want to use this one unless you know you want to work on the bleeding edge.
# gatesgarth - tegrademo-mender support is not yet complete or fully tested on this branch. Use this branch for experimental Nano-2GB support.
# dunfell-l4t-r32.4.3 - Current stable branch with support for all platforms with the exception of Nano-2GB.

git checkout dunfell-l4t-r32.4.3
  • Submodules pulls yocto dependencies
git submodule update --init

  • Use . ./setup-env --help to setup the necessary distro and select the machine intended to be built for

    • . ./setup-env --machine jetson-nano-qspi-sd

  • Begin bitbake

# -----------------| -----------------------
# Image list 
# demo-image-base 	    Basic image with no graphics
# demo-image-egl 	    Base with DRM/EGL graphics, no window manager
# demo-image-sato 	    X11 image with Sato UI
# demo-image-weston 	Wayland with Weston compositor
# demo-image-full 	    Sato image plus nvidia-docker, openCV, multimedia API samples

bitbake demo-image-full
  • This step would take around 2-3 hours of build time depending on internet speed.

Install Yocto reposities and dependencies for Jetson-Nano 2GB

###############################################
## IMPORTANT STEP 
# Nvidia sets up major components as binaries 
##
###############################################
  • Download the meta-tegra layer
git clone [email protected]:OE4T/meta-tegra.git
  • Download the tegra-demo-distro
git clone [email protected]:OE4T/tegra-demo-distro.git
  • Get into the directory
cd tegra-demo-distro/
  • Select the necessary directory
# Branches Currently available under git clone [email protected]:OE4T/tegra-demo-distro.git
# master - never stable. You probably don't want to use this one unless you know you want to work on the bleeding edge.
# gatesgarth - tegrademo-mender support is not yet complete or fully tested on this branch. Use this branch for experimental Nano-2GB support.
# dunfell-l4t-r32.4.3 - Current stable branch with support for all platforms with the exception of Nano-2GB.

git checkout gatesgarth
  • Submodules pulls yocto dependencies
git submodule update --init

  • Use . ./setup-env --help to setup the necessary distro and select the machine intended to be built for

    • . ./setup-env --machine jetson-nano-2gb-devkit

  • Begin bitbake

# -----------------| -----------------------
# Image list 
# demo-image-base 	    Basic image with no graphics
# demo-image-egl 	    Base with DRM/EGL graphics, no window manager
# demo-image-sato 	    X11 image with Sato UI
# demo-image-weston 	Wayland with Weston compositor
# demo-image-full 	    Sato image plus nvidia-docker, openCV, multimedia API samples

bitbake demo-image-full
  • This step would take around 2-3 hours of build time depending on internet speed.

Image Location