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.
  • 
  • 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
  • 
  • 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).
  • 
  • 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
  

• Yocto build can have very specific dependencies follow https://github.com/OE4T/meta-tegra for details.

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 git@github.com:OE4T/meta-tegra.git
  

• Download the tegra-demo-distro

  git clone git@github.com:OE4T/tegra-demo-distro.git
  

• Get into the directory

  cd tegra-demo-distro/
  

• Select the necessary directory

  # Branches Currently available under git clone git@github.com: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 git@github.com:OE4T/meta-tegra.git
  

• Download the tegra-demo-distro

  git clone git@github.com:OE4T/tegra-demo-distro.git
  

• Get into the directory

  cd tegra-demo-distro/
  

• Select the necessary directory

  # Branches Currently available under git clone git@github.com: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

• Image should be located at tegra-demo-distro/build/tmp/deploy/images
• Follow https://github.com/OE4T/meta-tegra/wiki/Flashing-the-Jetson-Dev-Kit for more details.