- #Optimization tool for mac how to
- #Optimization tool for mac install
- #Optimization tool for mac update
Uninstall the Intel® Distribution of OpenVINO™ Toolkit. Get Started with Code Samples and Demo Applications. Set the OpenVINO environment variables and (optional) Update to. Install the Intel® Distribution of OpenVINO™ Toolkit.
This guide provides step-by-step instructions on how to install the Intel® Distribution of OpenVINO™ 2020.1 toolkit for macOS*.
(Optional) Apple Xcode* IDE (not required for OpenVINO, but useful for development). In the terminal, run xcode-select -install from any directory. Install (choose 3.6.x or 3.7.x, not latest). Add /Applications/CMake.app/Contents/bin to path (for default install). Install (choose "macOS 10.13 or later"). Intel® Xeon® Scalable processor (formerly Skylake and Cascade Lake). 3rd generation Intel® Xeon® Scalable processor (formerly code named Cooper Lake). 6th to 11th generation Intel® Core™ processors and Intel® Xeon® processors. NOTE: The current version of the Intel® Distribution of OpenVINO™ toolkit for macOS* supports inference on Intel CPUs and Intel® Neural Compute Sticks 2 only. The development and target platforms have the same requirements, but you can select different components during the installation, based on your intended use. OpenCV* community version compiled for Intel® hardwareĪ set of simple console applications demonstrating how to use the Inference Engine in your applications.Ī set of console applications that demonstrate how you can use the Inference Engine in your applications to solve specific use-casesĪ set of tools to work with your models including Accuracy Checker utility, Post-Training Optimization Tool Guide, Model Downloader and otherĭocumentation for the pre-trained models available in the Open Model Zoo repo It includes a set of libraries for an easy inference integration into your applications This is the engine that runs a deep learning model. Popular frameworks include Caffe*, TensorFlow*, MXNet*, and ONNX*. This tool imports, converts, and optimizes models, which were trained in popular frameworks, to a format usable by Intel tools, especially the Inference Engine. The following components are installed by default: Component Includes optimized calls for computer vision standards including OpenCV*. Speeds time-to-market via an easy-to-use library of computer vision functions and pre-optimized kernels. Supports heterogeneous execution across Intel® CPU and Intel® Neural Compute Stick 2 with Intel® Movidius™ VPUs. Enables CNN-based deep learning inference on the edge. 
The Intel® Distribution of OpenVINO™ toolkit for macOS*: Based on Convolutional Neural Networks (CNN), the toolkit extends computer vision (CV) workloads across Intel® hardware, maximizing performance. The Intel® Distribution of OpenVINO™ toolkit quickly deploys applications and solutions that emulate human vision. DL Workbench is the OpenVINO™ toolkit UI that enables you to import a model, analyze its performance and accuracy, visualize the outputs, optimize and prepare the model for deployment on various Intel® platforms.
TIP: If you want to quick start with OpenVINO™ toolkit, you can use the OpenVINO™ Deep Learning Workbench (DL Workbench). If you have access to the Internet through the proxy server only, please make sure that it is configured in your OS environment.
An internet connection is required to follow the steps in this guide. The Intel® Distribution of OpenVINO™ is supported on macOS* 10.15.x versions.
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