Yocto Support for NVIDIA Jetson Platforms - Setting up Yocto

Yocto Support for NVIDIA®Jetson™
Setting up Yocto
Select your Machine Install Dependencies Compile Yocto Image
Flashing Jetson Platform
eMMC boot SD Card boot
Accessing the Board
Graphic Interface SSH Access UART Access
Adding NVIDIA Packages
CUDA cuDNN TensorRT NVIDIA GStreamer Plugins NVIDIA Jetson Multimedia API
DeepStream
NVIDIA Docker Container Yocto Recipes C++ examples Python examples
Additional Topics
Using GStreamer Add custom device trees or drivers
FAQ
Contact Us

Select your Machine

You can apply the instructions in this wiki for multiple devices, so, whenever you see <MACHINE>, replace it (with the <> symbols included) with your target platform. Below you will find the possible <MACHINE> substitutions.

Device	<MACHINE>
TX1	jetson-tx1-devkit
TX2	jetson-tx2-devkit	jetson-tx2-devkit-tx2i*	jetson-tx2-devkit-4gb*
XAVIER	jetson-agx-xavier-devkit*	jetson-agx-xavier-devkit-8gb*
NANO	jetson-nano-devkit	jetson-nano-devkit-emmc*
XAVIER NX	jetson-xavier-nx-devkit*	jetson-xavier-nx-devkit-emmc*
Note: the machines with * have NOT been tested by RidgeRun yet

Install Dependencies

1. Use the following command to install Yocto dependencies on Ubuntu.

sudo apt-get install gawk wget git-core diffstat unzip texinfo gcc-multilib build-essential chrpath socat libsdl1.2-dev xterm

2. Create a working directory for Yocto

YOCTO_DIR=/home/$USER/yocto-tegra
mkdir $YOCTO_DIR

3. Select the latest branch (as per May 2020)

export BRANCH="dunfell"

4. Download Yocto's Poky base meta-layer

cd $YOCTO_DIR
git clone -b ${BRANCH} git://git.yoctoproject.org/poky.git poky-${BRANCH}

5. Download meta-tegra

git clone -b ${BRANCH}-l4t-r32.5.0 https://github.com/madisongh/meta-tegra.git

Compile Yocto image

1. Initialize the build environment

cd $YOCTO_DIR
source poky-${BRANCH}/oe-init-build-env build

2. Setup the required settings

local.conf

• Open the file $YOCTO_DIR/build/conf/local.conf with your favorite text editor and append the following lines to the end of the file.
• Setup the SSTATE and DOWNLOADS directories with a custom path to avoid re-downloading and re-compiling in the future.
• Add the name of your target platform <MACHINE>.
• Set IMAGE_CLASSES and IMAGE_FSTYPES to easily flash the target board.
• Set 3.6 as the python3 and python3-native preferred version.

Note: Replace <MACHINE> with your selected machine (don't delete the quotes "")

MACHINE ?= "<MACHINE>"

DISTRO_FEATURES = "x11 opengl "

IMAGE_CLASSES += "image_types_tegra"
IMAGE_FSTYPES = "tegraflash"

SSTATE_DIR ?= "/home/${USER}/Yocto/sstate_dir"
DL_DIR ?= "/home/${USER}/Yocto/downloads"

PREFERRED_VERSION_python3 = "3.6%"
PREFERRED_VERSION_python3-native = "3.6%"

Optional: By default, Yocto uses all the available cores and threads of the computer. If you want to limit the resources used on the build, you can add the following lines to your $YOCTO_DIR/build/conf/local.conf file. Change the parameters according to your needs and to your host machine specification.

BB_NUMBER_THREADS = '6'
PARALLEL_MAKE = '-j6'

bblayers.conf

Open the file $YOCTO_DIR/build/conf/bblayers.conf with your favorite text editor and add the meta-tegra layer to the build/conf/bblayers.conf file to load the provided recipes:

 BBLAYERS ?= " \         
  /home/${USER}/yocto-tegra/meta-tegra \                                                                                                                                                                                                                                                                                                                                                                
  /home/${USER}/yocto-tegra/poky-dunfell/meta \       
  /home/${USER}/yocto-tegra/poky-dunfell/meta-poky \                                                                                                                                                                
  /home/${USER}/yocto-tegra/poky-dunfell/meta-yocto-bsp \                                                                                                                                                                                                                                                                                                    
  "

3. Build the image

Use an image with developer tools such as GStreamer, NVIDIA plugins, etc

bitbake core-image-sato-dev

Or you can choose a different image from the following table

<IMAGE>
core-image-sato-dev
core-image-weston
core-image-base

Legacy instructions

Please visit the following links for older versions of Jetpack.

• meta tegra for Jetpack 4.4