Create a Yocto Image with Intel® Distribution of OpenVINO™ toolkit¶
This document provides instructions for creating 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¶
Clone the repositories.
git clone https://git.yoctoproject.org/git/poky git clone https://git.yoctoproject.org/meta-intel git clone https://git.openembedded.org/meta-openembedded git clone https://github.com/kraj/meta-clang.git
Set up the OpenEmbedded build environment.
Add BitBake layers.
bitbake-layers add-layer ../meta-intel bitbake-layers add-layer ../meta-openembedded/meta-oe bitbake-layers add-layer ../meta-openembedded/meta-python bitbake-layers add-layer ../meta-clang
Verify if layers were added (optional step).
Set up BitBake configurations. Include extra configuration in the conf/local.conf file in your build directory as required.
# Build with SSE4.2, AVX2 etc. extensions MACHINE = "intel-skylake-64" # Enable clDNN GPU plugin when needed. # This requires meta-clang and meta-oe layers to be included in bblayers.conf # and is not enabled by default. PACKAGECONFIG:append:pn-openvino-inference-engine = " opencl" # 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" # Include model conversion API in the target image. CORE_IMAGE_EXTRA_INSTALL:append = " openvino-model-optimizer"
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:
For validation/testing/reviewing purposes, you may consider using the
nohup command and ensure that your vpn/ssh connection remains uninterrupted.
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 openvino-model-optimizer openvino-model-optimizer-dbg openvino-model-optimizer-dev