If you do choose to try it, we recommend using VMware Workstation Player, and not Oracle VirtualBox for proper emulation of the USB3 controller. These steps apply to Ubuntu*, CentOS*, and Yocto*. Leverage the Intel® Distribution of OpenVINO™ Toolkit to fast-track development of high-performance computer vision and deep learning inference applications, and run pre-trained deep learning models for computer vision on-premise. CentOS and Yocto installations will require some modifications that are not covered in this guide. If you are using Intel® Distribution of OpenVINO™ toolkit on Windows* OS, see the Installation Guide for Windows*. Intel® Edge AI for IoT Developers. Install the package and its dependencies by running the following in the repository root directory: python setup.py install. Firmware release files for Intel® RealSense™ products for use on all supported operating systems. sudo apt-get install python3-dev. Intel® Distribution of OpenVINO™ Toolkit; Try in the Intel® DevCloud. An internet connection is required to follow the steps in this guide. Documentation Specification Clarification - October Release (link to PDF attached)Refer to the Intel RealSense product documentation (PDF) included in the archive for the latest device and documentation errata, specification clarifications and changes. Note: Due to the USB 3.0 translation layer between native hardware and virtual machine, the librealsense team does not support installation in a VM. To learn about how to run a particular sample, read the sample documentation by clicking the sample name in the samples list above. Sign up now for full access to the latest Intel CPUs, GPUs, and FPGAs and Intel oneAPI tools. The Intel® DevCloud is a free, virtual development sandbox to learn about and program oneAPI cross-architecture applications. where
is the directory in which the OpenVINO toolkit is installed. The runtime-only wheel package (pip install openvino) has also been updated and it's no longer necessary to set Windows PATH or LD_LIBRARY_PATH variables on Linux and macOS when using either of the Python packages. You are ready to run sample applications.
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