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Install Intel® Distribution of OpenVINO™ toolkit for Windows* from Docker* Image

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

This guide provides device specifics for a Docker* image creation with Intel® Distribution of OpenVINO™ toolkit for Windows* and its further usage.

System Requirements

Target Operating Systems

  • Windows Server Core*

Host Operating Systems

  • Windows 10*, 64-bit Pro, Enterprise or Education (1607 Anniversary Update, Build 14393 or later) editions
  • Windows Server* 2016 or higher

Prebuilt Images

Prebuilt images are available on Docker Hub.

Build a Docker* Image

You can use available Dockerfiles or generate a Dockerfile with your setting via DockerHub CI Framework. The Framework can generate a Dockerfile, build, test, and deploy an image with the Intel® Distribution of OpenVINO™ toolkit. You can find device specific steps to configure an Intel® Distribution of OpenVINO™ toolkit Dockerfile below.

Configure and Run the Docker* Image for CPU

Install Additional Dependencies

Install CMake

To add CMake to the image, add the following commands to the Dockerfile:

RUN powershell.exe -Command `
    Invoke-WebRequest -URI https://cmake.org/files/v3.14/cmake-3.14.7-win64-x64.msi -OutFile %TMP%\\cmake-3.14.7-win64-x64.msi ; `
    Start-Process %TMP%\\cmake-3.14.7-win64-x64.msi -ArgumentList '/quiet /norestart' -Wait ; `
    Remove-Item %TMP%\\cmake-3.14.7-win64-x64.msi -Force

RUN SETX /M PATH "C:\Program Files\CMake\Bin;%PATH%"

In case of proxy issues, please add the ARG HTTPS_PROXY and -Proxy %%HTTPS_PROXY% settings to the powershell.exe command to the Dockerfile. Then build a Docker image:

docker build . -t <image_name> `
--build-arg HTTPS_PROXY=<https://your_proxy_server:port>

Install Microsoft Visual Studio* Build Tools

You can add Microsoft Visual Studio Build Tools* to a Windows* OS Docker image using the offline or online installers for Build Tools. Microsoft Visual Studio Build Tools* are licensed as a supplement your existing Microsoft Visual Studio* license. Any images built with these tools should be for your personal use or for use in your organization in accordance with your existing Visual Studio* and Windows* licenses.

To add MSBuild 2019 to the image, add the following commands to the Dockerfile:

RUN powershell.exe -Command Invoke-WebRequest -URI https://aka.ms/vs/16/release/vs_buildtools.exe -OutFile %TMP%\\vs_buildtools.exe

RUN %TMP%\\vs_buildtools.exe --quiet --norestart --wait --nocache `
     --installPath "C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools" `
     --add Microsoft.VisualStudio.Workload.MSBuildTools `
     --add Microsoft.VisualStudio.Workload.UniversalBuildTools `
     --add Microsoft.VisualStudio.Workload.VCTools --includeRecommended `
     --remove Microsoft.VisualStudio.Component.Windows10SDK.10240 `
     --remove Microsoft.VisualStudio.Component.Windows10SDK.10586 `
     --remove Microsoft.VisualStudio.Component.Windows10SDK.14393 `
     --remove Microsoft.VisualStudio.Component.Windows81SDK || IF "%ERRORLEVEL%"=="3010" EXIT 0 && powershell set-executionpolicy remotesigned

In case of proxy issues, please use the offline installer for Build Tools.

Run the Docker* Image for CPU

To start the interactive session, run the following command allows inference on the CPU:

docker run -it --rm <image_name>

If you want to try some demos then run image with the root privileges (some additional 3-rd party dependencies will be installed):

docker run -itu ContainerAdministrator --rm <image_name> cmd /S /C "cd samples\scripts && run_sample_squeezenet.bat -d CPU"

Configure and Run the Docker* Image for GPU

GPU Acceleration in Windows containers feature requires to meet Windows host, OpenVINO toolkit and Docker* requirements:

  • Windows requirements:
    • The container host must be running Windows Server 2019 or Windows 10 of version 1809 or higher.
    • The container base image must be mcr.microsoft.com/windows:1809 or higher. Windows Server Core and Nano Server container images are not currently supported.
    • The container host must be running Docker Engine 19.03 or higher.
    • The container host must have GPU running display drivers of version WDDM 2.5 or higher.
  • OpenVINO™ GPU requirement:
    • Intel Graphics Driver for Windows of version 15.65 or higher.
  • Docker isolation mode requirement:

Build a Docker* Image for Your Host System

  1. Reuse one of available Dockerfiles. You can also use your own Dockerfile.
  2. Check your Windows host and container isolation process compatibility.
  3. Find the appropriate Windows container base image on DockerHub* and set up your host/container version in the FROM Dockerfile instruction.
    For example, in openvino_c_dev_2021.dockerfile, change: 
    FROM mcr.microsoft.com/windows/servercore:ltsc2019 AS ov_base
    to: 
    FROM mcr.microsoft.com/windows:20H2
  4. Build the Docker image 
    docker build --build-arg package_url=<OpenVINO pkg> -f <Dockerfile> -t <image_name> .
  5. Copy OpenCL.dll from your C:\Windows\System32 host folder to any temp directory: 
    mkdir C:\tmp
copy C:\Windows\System32\OpenCL.dll C:\tmp

Run the Docker* Image for GPU

  1. To try inference on a GPU, run the image with the following command: 
    docker run -it --rm -u ContainerAdministrator --isolation process --device class/5B45201D-F2F2-4F3B-85BB-30FF1F953599 -v C:\Windows\System32\DriverStore\FileRepository\iigd_dch.inf_amd64_518f2921ba495409:C:\Windows\System32\DriverStore\FileRepository\iigd_dch.inf_amd64_518f2921ba495409 -v C:\tmp:C:\tmp <image_name>
    where
    • --device class/5B45201D-F2F2-4F3B-85BB-30FF1F953599 is a reserved interface class GUID for a GPU device.
    • C:\Windows\System32\DriverStore\FileRepository\iigd_dch.inf_amd64_518f2921ba495409 is the path to OpenCL driver home directory. To find it on your PC, run the C:\Windows\System32\DriverStore\FileRepository\iigd_dch.inf_amd64_* regular expression.
    • C:\tmp is the folder with the copy of OpenCL.dll from your C:\Windows\System32 host folder.
  2. Copy OpenCL.dll to the C:\Windows\System32 folder inside the container and set appropriate registry entry. Now you can run inference on a GPU device: 
    copy C:\tmp\OpenCL.dll C:\Windows\System32\ && reg add "HKLM\SOFTWARE\Khronos\OpenCL\Vendors" /v "C:\Windows\System32\DriverStore\FileRepository\iigd_dch.inf_amd64_518f2921ba495409\ocl\bin\x64\intelocl64.dll" /t REG_DWORD /d 0
  3. For example, run the run_sample_squeezenet demo with the command below: 
    cd samples\scripts && run_sample_squeezenet.bat -d GPU

    NOTE: Addittional third-party dependencies will be installed.

Troubleshooting

If you got proxy issues, please setup proxy settings for Docker. See the Proxy section in the [Install the DL Workbench from Docker Hub* ](@ref workbench_docs_Workbench_DG_Run_Locally) topic.

Additional Resources

  • DockerHub CI Framework for Intel® Distribution of OpenVINO™ toolkit. The Framework can generate a Dockerfile, build, test, and deploy an image with the Intel® Distribution of OpenVINO™ toolkit. You can reuse available Dockerfiles, add your layer and customize the image of OpenVINO™ for your needs.

  • Intel® Distribution of OpenVINO™ toolkit home page: https://software.intel.com/en-us/openvino-toolkit