openvino-ubuntu20 2021.2

OpenVINO™ Toolkit

OpenVINO™ toolkit quickly deploys applications and solutions that emulate human vision. Based on Convolutional Neural Networks (CNNs), the toolkit extends computer vision (CV) workloads across Intel® hardware, maximizing performance. The OpenVINO™ toolkit includes the Deep Learning Deployment Toolkit (DLDT).

OpenVINO™ toolkit:

• Enables CNN-based deep learning inference on the edge
• Supports heterogeneous execution across an Intel® CPU, Intel® Integrated Graphics, Intel® FPGA, 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
• Includes optimized calls for computer vision standards, including OpenCV* and OpenCL™

Operating Systems:

• Ubuntu* 20.04 long-term support (LTS), 64-bit

Install the Runtime Package Using the PyPI Repository

1. Set up and update pip to the highest version:

   python3 -m pip install --upgrade pip
   

2. Install the Intel® distribution of OpenVINO™ toolkit:

   pip install openvino-ubuntu20
   

3. Add PATH to environment variables.

• Ubuntu* and macOS*:

  export LD_LIBRARY_PATH=<library_dir>:${LD_LIBRARY_PATH}
  

• Windows* 10:

  set PATH=<library_dir>;%PATH%
  

How to find library_dir:

• Ubuntu*, macOS*:
  • standard user:

    echo $(python3 -m site --user-base)/lib
    

  • root or sudo user:

    /usr/local/lib
    

  • virtual environments or custom Python installations (from sources or tarball):

    echo $(which python3)/../../lib
    

• Windows*:
  • standard Python:

     python -c "import os, sys; print((os.path.dirname(sys.executable))+'\Library\\bin')"
    

  • virtual environments or custom Python installations (from sources or tarball):

     python -c "import os, sys; print((os.path.dirname(sys.executable))+'\..\Library\\bin')"
    

4. Verify that the package is installed:

   python3 -c "import openvino"
   

Now you are ready to develop and run your application.