Create a Yocto Image with Intel® Distribution of OpenVINO™ toolkit

Follow the Yocto Project official documentation to set up and configure your host machine to be compatible with BitBake.

Step 1: Set Up Environment

1. Clone the repositories.

      git clone https://git.yoctoproject.org/git/poky
      git clone https://git.openembedded.org/meta-openembedded
      git clone https://github.com/intel/meta-openvino.git

2. Set up the OpenEmbedded build environment.

      source poky/oe-init-build-env

3. Add BitBake layers.

      bitbake-layers add-layer ../meta-openembedded/meta-oe
      bitbake-layers add-layer ../meta-openembedded/meta-python
      bitbake-layers add-layer ../meta-openvino

4. Verify if layers were added (optional step).

      bitbake-layers show-layers

5. Set up BitBake configurations. Include extra configuration in the conf/local.conf file in your build directory as required.

      MACHINE = "qemuarm64"

      # To build for x86 ARCH, add meta-intel layer in your build and set MACHINE = "intel-skylake-64" for SSE4.2, AVX2 etc. extensions.

      # Enable building OpenVINO Python API.
      # This requires meta-python layer to be included in bblayers.conf.
      PACKAGECONFIG:append:pn-openvino-inference-engine = " python3"

      # This adds OpenVINO related libraries in the target image.
      CORE_IMAGE_EXTRA_INSTALL:append = " openvino-inference-engine"

      # This adds OpenVINO samples in the target image.
      CORE_IMAGE_EXTRA_INSTALL:append = " openvino-inference-engine-samples"

      # Include OpenVINO Python API package in the target image.
      CORE_IMAGE_EXTRA_INSTALL:append = " openvino-inference-engine-python3"

Step 2: Build a Yocto Image with OpenVINO Packages

Run BitBake to build your image with OpenVINO packages. For example, to build the minimal image, run the following command:

   bitbake core-image-minimal

Step 3: Verify the Yocto Image

Verify that OpenVINO packages were built successfully. Run the following command:

   oe-pkgdata-util list-pkgs | grep openvino

If the image build is successful, it will return the list of packages as below:

   openvino-inference-engine
   openvino-inference-engine-dbg
   openvino-inference-engine-dev
   openvino-inference-engine-python3
   openvino-inference-engine-samples
   openvino-inference-engine-src

To create image for IA using meta-intel layer follow the OpenVINO official documentation.