Inference Engine Python* API
Project description
Intel® Distribution of OpenVINO™ Toolkit Runtime Package
LEGAL NOTICE: Your use of this software and any required dependent software (the “Software Package”) is subject to the terms and conditions of the software license agreements for the Software Package, which may also include notices, disclaimers, or license terms for third party or open source software included in or with the Software Package, and your use indicates your acceptance of all such terms. Please refer to the “third-party-programs.txt” or other similarly-named text file included with the Software Package for additional details.
Introduction
OpenVINO™ toolkit is a comprehensive toolkit for quickly developing applications and solutions that solve a variety of tasks including emulation of human vision, automatic speech recognition, natural language processing, recommendation systems, and many others. Based on latest generations of artificial neural networks, including Convolutional Neural Networks (CNNs), recurrent and attention-based networks, the toolkit extends computer vision and non-vision workloads across Intel® hardware, maximizing performance. It accelerates applications with high-performance, AI and deep learning inference deployed from edge to cloud.
The Intel® Distribution of OpenVINO™ toolkit for Linux*:
- Enables CNN-based deep learning inference on the edge
- Supports heterogeneous execution across Intel® CPU, Intel® Integrated Graphics, Intel® Neural Compute Stick 2, and Intel® Vision Accelerator Design with Intel® Movidius™ VPUs
- Speeds time-to-market via an easy-to-use library of computer vision functions and pre-optimized kernels
The Runtime Package Includes the Following Components Installed by Default:
Component | Description |
---|---|
Inference Engine | This is the engine that runs the deep learning model. It includes a set of libraries for an easy inference integration into your applications. |
System Requirements
The table below lists the supported operating systems and Python* versions required to run the installation.
Supported Operating System | Python* Version (64-bit) |
---|---|
Ubuntu* 18.04 long-term support (LTS), 64-bit | 3.6, 3.7 |
Ubuntu* 20.04 long-term support (LTS), 64-bit | 3.6, 3.7 |
Red Hat* Enterprise Linux* 8.2, 64-bit | 3.6, 3.7 |
CentOS* 7.4, 64-bit | 3.6, 3.7 |
macOS* 10.15.x versions | 3.6, 3.7, 3.8 |
Windows 10*, 64-bit Pro, Enterprise or Education (1607 Anniversary Update, Build 14393 or higher) editions | 3.6, 3.7, 3.8 |
Windows Server* 2016 or higher | 3.6, 3.7, 3.8 |
NOTE: This package can be installed on other versions of Linux and Windows OSes, but only the specific versions above are fully validated.
Install the Runtime Package
Step 1. Set Up Python Virtual Environment
To avoid dependency conflicts, use a virtual environment. Skip this step only if you do want to install all dependencies globally.
Create virtual environment:
python -m pip install --user virtualenv
python -m venv openvino_env --system-site-packages
Activate virtual environment:
On Linux and macOS:
source openvino_env/bin/activate
On Windows:
openvino_env\Scripts\activate
Step 2. Set Up and Update pip to the Highest Version
Run the command below:
python -m pip install --upgrade pip
Step 3. Install the Package
Run the command below:
pip install openvino
Step 4. Verify that the Package is Installed
Run the command below:
python -c "from openvino.inference_engine import IECore"
You will not see any error messages if installation finished successfully.
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