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* OS
Windows base* OS
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 deployment_tools\demo && demo_security_barrier_camera.bat -d CPU -sample-options -no_show"
Configure and Run the Docker* Image for GPU¶
GPU Acceleration in Windows containers feature requires to meet Windows host, OpenVINO toolkit and Docker* 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.
-
Intel Graphics Driver for Windows of version 15.65 or higher.
Docker isolation mode requirement :
Windows host and container version tags must match.
Build a Docker* Image for Your Host System¶
Reuse one of available Dockerfiles. You can also use your own Dockerfile.
Check your Windows host and container isolation process compatibility.
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_2021.4.dockerfile, change:
FROM mcr.microsoft.com/windows/servercore:ltsc2019 AS ov_base
to:
FROM mcr.microsoft.com/windows:20H2
Build the Docker image
docker build --build-arg package_url=<OpenVINO pkg> -f <Dockerfile> -t <image_name> .
Copy
OpenCL.dll
from yourC:\Windows\System32
host folder to anytemp
directory:mkdir C:\tmp copy C:\Windows\System32\OpenCL.dll C:\tmp
Run the Docker* Image for GPU¶
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 theC:\Windows\System32\DriverStore\FileRepository\iigd_dch.inf_amd64_*
regular expression.C:\tmp
is the folder with the copy ofOpenCL.dll
from yourC:\Windows\System32
host folder.
Copy
OpenCL.dll
to theC:\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
For example, run the
demo_security_barrier_camera
demo with the command below:cd bin && setupvars.bat && cd ../ && cd deployment_tools\demo && demo_security_barrier_camera.bat -d GPU -sample-options -no_show
Note
Addittional third-party dependencies will be installed.
If you got proxy issues, please setup proxy settings for Docker. See the Proxy section in the Install the DL Workbench from Docker Hub* 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