11/8/2023 0 Comments Debian os![]() ![]() If the script finished successfully, you are ready to build the toolkit. Sed -i 's/raspbian/debian/g' install_build_dependencies.sh Run the script to install the dependencies for Intel® OpenVINO™ toolkit: If any issues arise when trying to run the script, you must install each dependency individually. The install_build_dependencies.sh script fetches them for you. Intel® OpenVINO™ toolkit has a number of build dependencies. Git clone -recurse-submodules -single-branch -branch=2022.1.0 ![]() The repository folder is titled openvino. The open-source version of Intel® OpenVINO™ toolkit is available through GitHub. We recommend specifying the latest and stable branch or tag when cloning repository from openvinotoolkit GitHub page instead of directly cloning the master branch by default. Sudo apt-get install python3-opencv Downloading source code and installing dependencies Note While the CMake process for Intel® OpenVINO™ toolkit downloads OpenCV* if no version is installed for supported platforms, you must build OpenCV from source. Intel® OpenVINO™ toolkit uses the power of OpenCV* to accelerate vision-based inferencing. Sudo apt install build-essential libclang-11-dev clang-11 clang-format-9 libssl-dev cmake Installing OpenCV Sudo apt update & sudo apt upgrade -y Installing build tools Make sure your device software is up to date: This guide contains commands that need to be executed as root or sudo access to install correctly. Ethernet Internet connection or compatible wireless networkĭebian* Bullseye, 64-bit Setting up your build environment Note.Raspberry Pi* 4 (Raspberry Pi* 3 Model B+ should work.).This guide assumes you have your Raspberry Pi* board up and running with an operating system listed below. This guide provides you with steps for building open-source distribution of the OpenVINO™ toolkit for Raspbian* OS and to use with Intel® Neural Compute Stick 2 (Intel® NCS2).Ĭlick on the topic for details: System requirements Note These steps generally follow this article about Intel® Neural Compute Stick 2 and Open Source OpenVINO™ toolkit, but they include specific changes to get everything running on your board. The toolkit extends computer vision (CV) workloads across Intel® hardware based on Convolutional Neural Networks (CNN), which maximizes performance. The OpenVINO™ toolkit quickly deploys applications and solutions that emulate human vision. The article was verified using the 2022.1 release of the open-source distribution of the OpenVINO™ toolkit. ![]() An Internet connection is required to follow the steps in this guide.These steps have been tested with Raspberry Pi 4* board and Debian* Bullseye, 64-bit.All steps are required in the installation. ![]()
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