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Install guide update for 2022.2 (#12222)

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* Toctree

* Fixing reference

* Linux

* Windows

* macOS

* Raspbian-OS

* Whats-Next-Section

* References

* HDDL-MYRIAD

* Update docs/install_guides/installing-model-dev-tools.md

Co-authored-by: Yuan Xu <yuan1.xu@intel.com>

* Runtime-fix

* Update docs/install_guides/installing-openvino-overview.md

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* Update installing-openvino-overview.md

* Update docs/OV_Runtime_UG/supported_plugins/MYRIAD.md

Co-authored-by: Yuan Xu <yuan1.xu@intel.com>

* Update docs/OV_Runtime_UG/supported_plugins/HDDL.md

Co-authored-by: Yuan Xu <yuan1.xu@intel.com>

* Update configurations-for-intel-gpu.md

* Update docs/install_guides/configurations-for-intel-gpu.md

Co-authored-by: Yuan Xu <yuan1.xu@intel.com>

* Update docs/install_guides/configurations-for-intel-gpu.md

Co-authored-by: Yuan Xu <yuan1.xu@intel.com>

* Update docs/install_guides/installing-model-dev-tools.md

Co-authored-by: Yuan Xu <yuan1.xu@intel.com>

* Update docs/install_guides/configurations-for-intel-gpu.md

* Delete installing-openvino-images.md

* Update docs/install_guides/troubleshooting-steps.md

Co-authored-by: Yuan Xu <yuan1.xu@intel.com>

* Update docs/install_guides/troubleshooting-steps.md

Co-authored-by: Yuan Xu <yuan1.xu@intel.com>

* Update docs/install_guides/troubleshooting-steps.md

Co-authored-by: Yuan Xu <yuan1.xu@intel.com>

* Update docs/install_guides/troubleshooting-steps.md

* Update installing-model-dev-tools.md

* Update configurations-for-intel-gpu.md

* Revert "Update configurations-for-intel-gpu.md"

This reverts commit f5294de324.

* Revert "Update installing-model-dev-tools.md"

This reverts commit 9109a916d6.

* ID-fix

* Update installing-openvino-macos.md

Co-authored-by: sgolebiewski-intel <101244613+sgolebiewski-intel@users.noreply.github.com>
Co-authored-by: Yuan Xu <yuan1.xu@intel.com>
This commit is contained in:
Maciej Smyk
2022-07-21 15:55:28 +02:00
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8
README.md
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@@ -161,10 +161,10 @@ The list of OpenVINO tutorials:
## System requirements
The full information about system requirements depends on platform and available in section `System requirement` on dedicated pages:
- [Linux](https://docs.openvino.ai/latest/openvino_docs_install_guides_installing_openvino_linux.html)
- [Windows](https://docs.openvino.ai/latest/openvino_docs_install_guides_installing_openvino_windows.html)
- [macOS](https://docs.openvino.ai/latest/openvino_docs_install_guides_installing_openvino_macos.html)
The full information about system requirements depends on platform and is available on dedicated pages:
- [Linux](https://docs.openvino.ai/latest/openvino_docs_install_guides_installing_openvino_linux_header.html)
- [Windows](https://docs.openvino.ai/latest/openvino_docs_install_guides_installing_openvino_windows_header.html)
- [macOS](https://docs.openvino.ai/latest/openvino_docs_install_guides_installing_openvino_macos_header.html)
- [Raspbian](https://docs.openvino.ai/latest/openvino_docs_install_guides_installing_openvino_raspbian.html)
## How to build

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docs/OV_Runtime_UG/deployment/deployment-manager-tool.md
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@@ -14,8 +14,7 @@ To use the Deployment Manager tool, the following requirements need to be met:
* **For VPU**, see [Configurations for Intel® Vision Accelerator Design with Intel® Movidius™ VPUs](../../install_guides/configurations-for-ivad-vpu.md).
* **For GNA**, see [Intel® Gaussian & Neural Accelerator (GNA)](../../install_guides/configurations-for-intel-gna.md)
> **IMPORTANT**: The target operating system must be the same as the development system on which you are creating the package. For example, if the target system is Ubuntu 18.04, the deployment package must be created from the OpenVINO™ toolkit installed on Ubuntu 18.04.
> **IMPORTANT**: The operating system on the target system must be the same as the development system on which you are creating the package. For example, if the target system is Ubuntu 18.04, the deployment package must be created from the OpenVINO™ toolkit installed on Ubuntu 18.04.
> **TIP**: If your application requires additional dependencies, including the Microsoft Visual C++ Redistributable, use the ['--user_data' option](https://docs.openvino.ai/latest/openvino_docs_install_guides_deployment_manager_tool.html#run-standard-cli-mode) to add them to the deployment archive. Install these dependencies on the target host before running inference.

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docs/OV_Runtime_UG/supported_plugins/HDDL.md
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@@ -6,7 +6,7 @@ The OpenVINO Runtime HDDL plugin was developed for inference with neural network
## Configuring the HDDL Plugin
To configure your Intel® Vision Accelerator Design With Intel® Movidius™ on supported operating systems, refer to the [installation guide](../../install_guides/installing-openvino-config-ivad-vpu).
To configure your Intel® Vision Accelerator Design With Intel® Movidius™ on supported operating systems, refer to the [Additional Configurations for VPU](../../install_guides/configurations-for-ivad-vpu.md) in Installation Guide.
> **NOTE**: The HDDL and Myriad plugins may cause conflicts when used at the same time.
> To ensure proper operation in such a case, the number of booted devices needs to be limited in the 'hddl_autoboot.config' file.

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docs/OV_Runtime_UG/supported_plugins/MYRIAD.md
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@@ -5,7 +5,7 @@ The OpenVINO Runtime MYRIAD plugin has been developed for inference of neural ne
## Configuring the MYRIAD Plugin
To configure your Intel® Vision Accelerator Design With Intel® Movidius™ on supported operating systems, refer to the [installation guide](../../install_guides/installing-openvino-config-ivad-vpu).
To configure your Intel® Vision Accelerator Design With Intel® Movidius™ on supported operating systems, refer to the [Additional Configurations for VPU](../../install_guides/configurations-for-ivad-vpu.md) in Installation Guide.
> **NOTE**: The HDDL and MYRIAD plugins may cause conflicts when used at the same time.
> To ensure proper operation in such a case, the number of booted devices needs to be limited in the `hddl_autoboot.config` file.

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docs/get_started/get_started_demos.md
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@@ -21,15 +21,15 @@ If you have not yet installed and configured the toolkit, see the following guid
@sphinxdirective
.. tab:: Linux
See :doc:`Install Intel® Distribution of OpenVINO™ toolkit for Linux <openvino_docs_install_guides_installing_openvino_linux>`
See :doc:`Install Intel® Distribution of OpenVINO™ toolkit for Linux <openvino_docs_install_guides_installing_openvino_linux_header>`
.. tab:: Windows
See :doc:`Install Intel® Distribution of OpenVINO™ toolkit for Windows <openvino_docs_install_guides_installing_openvino_windows>`
See :doc:`Install Intel® Distribution of OpenVINO™ toolkit for Windows <openvino_docs_install_guides_installing_openvino_windows_header>`
.. tab:: macOS
See :doc:`Install Intel® Distribution of OpenVINO™ toolkit for macOS <openvino_docs_install_guides_installing_openvino_macos>`
See :doc:`Install Intel® Distribution of OpenVINO™ toolkit for macOS <openvino_docs_install_guides_installing_openvino_macos_header>`
@endsphinxdirective

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docs/install_guides/configurations-for-intel-gpu.md
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@@ -38,9 +38,7 @@ If you have installed OpenVINO Runtime via the installer, APT, or YUM, follow th
3. **Optional:** Install header files to allow compilation of new code. You can find the header files at [Khronos OpenCL™ API Headers](https://github.com/KhronosGroup/OpenCL-Headers.git).
You've completed all required configuration steps to perform inference on processor graphics.
Proceed to the <a href="openvino_docs_install_guides_installing_openvino_linux.html#get-started">Start Using the Toolkit</a> section to learn the basic OpenVINO™ toolkit workflow and run code samples and demo applications.
You've completed all required configuration steps to perform inference on processor graphics.
@sphinxdirective
.. _gpu guide windows:
@@ -66,5 +64,18 @@ To check if you have this driver installed:
4. Click the **Driver** tab to see the driver version.
![](../img/DeviceDriverVersion.PNG)
You are done updating your device driver and are ready to use your GPU. Proceed to the <a href="openvino_docs_install_guides_installing_openvino_windows.html#get-started">Start Using the Toolkit</a> section to learn the basic OpenVINO™ toolkit workflow and run code samples and demo applications.
You are done updating your device driver and are ready to use your GPU.
## What’s Next?
You can try out the toolkit with:
Developing in Python:
* [Start with tensorflow models with OpenVINO™](https://docs.openvino.ai/latest/notebooks/101-tensorflow-to-openvino-with-output.html)
* [Start with ONNX and PyTorch models with OpenVINO™](https://docs.openvino.ai/latest/notebooks/102-pytorch-onnx-to-openvino-with-output.html)
* [Start with PaddlePaddle models with OpenVINO™](https://docs.openvino.ai/latest/notebooks/103-paddle-onnx-to-openvino-classification-with-output.html)
Developing in C++:
* [Image Classification Async C++ Sample](@ref openvino_inference_engine_samples_classification_sample_async_README)
* [Hello Classification C++ Sample](@ref openvino_inference_engine_samples_hello_classification_README)
* [Hello Reshape SSD C++ Sample](@ref openvino_inference_engine_samples_hello_reshape_ssd_README)

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docs/install_guides/configurations-for-ivad-vpu.md
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@@ -65,4 +65,16 @@ You are done installing your device driver and are ready to use your Intel® Vis
For advanced configuration steps for your IEI Mustang-V100-MX8 accelerator, see [Configurations for IEI Mustang-V100-MX8-R10 card](configurations-for-iei-card.md).
After configuration is done, you are ready to go to <a href="openvino_docs_install_guides_installing_openvino_windows.html#get-started">Start Using the Toolkit</a> section to learn the basic OpenVINO™ toolkit workflow and run code samples and demo applications.
## What’s Next?
After configuration is done, you are ready to try out the toolkit.
Developing in Python:
* [Start with tensorflow models with OpenVINO™](https://docs.openvino.ai/latest/notebooks/101-tensorflow-to-openvino-with-output.html)
* [Start with ONNX and PyTorch models with OpenVINO™](https://docs.openvino.ai/latest/notebooks/102-pytorch-onnx-to-openvino-with-output.html)
* [Start with PaddlePaddle models with OpenVINO™](https://docs.openvino.ai/latest/notebooks/103-paddle-onnx-to-openvino-classification-with-output.html)
Developing in C++:
* [Image Classification Async C++ Sample](@ref openvino_inference_engine_samples_classification_sample_async_README)
* [Hello Classification C++ Sample](@ref openvino_inference_engine_samples_hello_classification_README)
* [Hello Reshape SSD C++ Sample](@ref openvino_inference_engine_samples_hello_reshape_ssd_README)

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@@ -93,4 +93,17 @@ brew install libusb
```
You've completed all required configuration steps to perform inference on your Intel® Neural Compute Stick 2.
Proceed to the <a href="openvino_docs_install_guides_installing_openvino_macos.html#get-started">Start Using the Toolkit</a> section to learn the basic OpenVINO™ toolkit workflow and run code samples and demo applications.
## What’s Next?
Now you are ready to try out the toolkit. You can use the following tutorials to write your applications using Python and C++.
Developing in Python:
* [Start with tensorflow models with OpenVINO™](https://docs.openvino.ai/latest/notebooks/101-tensorflow-to-openvino-with-output.html)
* [Start with ONNX and PyTorch models with OpenVINO™](https://docs.openvino.ai/latest/notebooks/102-pytorch-onnx-to-openvino-with-output.html)
* [Start with PaddlePaddle models with OpenVINO™](https://docs.openvino.ai/latest/notebooks/103-paddle-onnx-to-openvino-classification-with-output.html)
Developing in C++:
* [Image Classification Async C++ Sample](@ref openvino_inference_engine_samples_classification_sample_async_README)
* [Hello Classification C++ Sample](@ref openvino_inference_engine_samples_hello_classification_README)
* [Hello Reshape SSD C++ Sample](@ref openvino_inference_engine_samples_hello_reshape_ssd_README)

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docs/install_guides/installing-model-dev-tools.md
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@@ -96,7 +96,7 @@ You will see the help message for Model Optimizer if installation finished succe
Note the following things:
* To install OpenVINO Development Tools, you must have OpenVINO Runtime installed first. You can install OpenVINO Runtime through an installer ([Linux](installing-openvino-linux.md), [Windows](installing-openvino-windows.md), or [macOS](installing-openvino-macos.md)), [APT for Linux](installing-openvino-apt.md) or [YUM for Linux](installing-openvino-yum.md).
* To install OpenVINO Development Tools, you must have OpenVINO Runtime installed first. You can install OpenVINO Runtime through archive files. See [Install OpenVINO on Linux](installing-openvino-linux-header.md), [Install OpenVINO on Windows](installing-openvino-windows-header.md), and [Install OpenVINO on macOS](installing-openvino-windows-header.md) for more details.
* Ensure that the version of OpenVINO Development Tools you are installing matches that of OpenVINO Runtime.
Use either of the following ways to install OpenVINO Development Tools:

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@@ -1,4 +1,4 @@
# Install Intel® Distribution of OpenVINO™ Toolkit for Linux Using APT Repository {#openvino_docs_install_guides_installing_openvino_apt}
# Install Intel® Distribution of OpenVINO™ Toolkit for Linux Using APT Repository
This guide provides installation steps for Intel® Distribution of OpenVINO™ toolkit for Linux distributed through the APT repository.
@@ -138,8 +138,6 @@ sudo apt install openvino-opencv-<VERSION>.<UPDATE>.<PATCH>
After you have installed OpenVINO Runtime, if you decided to [install OpenVINO Development Tools](installing-model-dev-tools.md), make sure that you install external software dependencies first.
Refer to <a href="openvino_docs_install_guides_installing_openvino_linux.html#install-external-dependencies">Install External Software Dependencies</a> for detailed steps.
### Step 5 (Optional): Configure Inference on Non-CPU Devices

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docs/install_guides/installing-openvino-conda.md
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@@ -1,4 +1,4 @@
# Install Intel® Distribution of OpenVINO™ toolkit from Anaconda Cloud {#openvino_docs_install_guides_installing_openvino_conda}
# Install Intel® Distribution of OpenVINO™ toolkit from Anaconda Cloud
This guide provides installation steps for Intel® Distribution of OpenVINO™ toolkit for Linux distributed through the Anaconda Cloud.

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docs/install_guides/installing-openvino-images.md
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@@ -1,14 +0,0 @@
# Install From Images and Repositories
You may install Intel® Distribution of OpenVINO™ toolkit from images and repositories using the **Install OpenVINO™** button above or directly from the [Get the Intel® Distribution of OpenVINO™ Toolkit](https://software.intel.com/content/www/us/en/develop/tools/openvino-toolkit/download.html) page. Use the documentation below if you need additional support:
* [Docker](installing-openvino-docker-linux.md)
* [Docker with DL Workbench](@ref workbench_docs_Workbench_DG_Run_Locally)
* [APT](installing-openvino-apt.md)
* [YUM](installing-openvino-yum.md)
* [Anaconda Cloud](installing-openvino-conda.md)
* [Yocto](installing-openvino-yocto.md)
* [PyPI](installing-openvino-pip.md)
The open source version is available in the [OpenVINO™ toolkit GitHub repository](https://github.com/openvinotoolkit/openvino) and you can build it for supported platforms using the <a href="https://github.com/openvinotoolkit/openvino/wiki/BuildingCode">OpenVINO Build Instructions</a>.

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docs/install_guides/installing-openvino-linux-header.md
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@@ -6,21 +6,13 @@
:maxdepth: 3
:hidden:
Using Installer <openvino_docs_install_guides_installing_openvino_linux>
From PyPI <openvino_docs_install_guides_installing_openvino_pip>
From APT <openvino_docs_install_guides_installing_openvino_apt>
From YUM <openvino_docs_install_guides_installing_openvino_yum>
From Anaconda Cloud <openvino_docs_install_guides_installing_openvino_conda>
Using Docker <openvino_docs_install_guides_installing_openvino_docker_linux>
@endsphinxdirective
If you want to install Intel® Distribution of OpenVINO™ toolkit on your Linux machine, there are a few ways to accomplish this. We prepared the following options for you:
* [Install OpenVINO Runtime using an Installer](installing-openvino-linux.md)
* [Install OpenVINO from PyPI](installing-openvino-pip.md)
* [Install OpenVINO Runtime from APT](installing-openvino-apt.md)
* [Install OpenVINO Runtime from YUM](installing-openvino-yum.md)
* [Install OpenVINO Runtime from Anaconda Cloud](installing-openvino-conda.md)
* [Install OpenVINO with Docker](installing-openvino-docker-linux.md)

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@@ -1,4 +1,4 @@
# Install and Configure Intel® Distribution of OpenVINO™ Toolkit for Linux {#openvino_docs_install_guides_installing_openvino_linux}
# Install and Configure Intel® Distribution of OpenVINO™ Toolkit for Linux
> **NOTE**: Since the OpenVINO™ 2022.1 release, the following development tools: Model Optimizer, Post-Training Optimization Tool, Model Downloader and other Open Model Zoo tools, Accuracy Checker, and Annotation Converter are not part of the installer. These tools are now only available on [pypi.org](https://pypi.org/project/openvino-dev/).

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@@ -6,14 +6,10 @@
:maxdepth: 3
:hidden:
Using Installer <openvino_docs_install_guides_installing_openvino_macos>
From PyPI <openvino_docs_install_guides_installing_openvino_pip>
From Anaconda Cloud <openvino_docs_install_guides_installing_openvino_conda>
@endsphinxdirective
If you want to install Intel® Distribution of OpenVINO™ toolkit on macOS, there are a few ways to accomplish this. We prepared following options for you:
* [Install OpenVINO Runtime using an Installer](installing-openvino-macos.md)
* [Install OpenVINO from PyPI](installing-openvino-pip.md)
* [Install OpenVINO Runtime from Anaconda Cloud](installing-openvino-conda.md)

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@@ -1,4 +1,4 @@
# Install and Configure Intel® Distribution of OpenVINO™ toolkit for macOS {#openvino_docs_install_guides_installing_openvino_macos}
# Install and Configure Intel® Distribution of OpenVINO™ toolkit for macOS
> **NOTE**: Since the OpenVINO™ 2022.1 release, the following development tools: Model Optimizer, Post-Training Optimization Tool, Model Downloader and other Open Model Zoo tools, Accuracy Checker, and Annotation Converter are not part of the installer. These tools are now only available on [pypi.org](https://pypi.org/project/openvino-dev/).

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@@ -42,9 +42,9 @@ For Python developers, the easiest way is to [install OpenVINO Development Tools
For C++ developers, you may choose one of the following installation options for OpenVINO Runtime on your specific operating system:
* Linux: You can install OpenVINO Runtime using an [Installer](installing-openvino-linux.md), [APT](installing-openvino-apt.md), [YUM](installing-openvino-yum.md), [Anaconda Cloud](installing-openvino-conda.md), or [Docker](installing-openvino-docker-linux.md).
* Windows: You can install OpenVINO Runtime using an [Installer](installing-openvino-windows.md), [Anaconda Cloud](installing-openvino-conda.md), or [Docker](installing-openvino-docker-windows.md).
* macOS: You can install OpenVINO Runtime using an [Installer](installing-openvino-macos.md) or [Anaconda Cloud](installing-openvino-conda.md).
* Linux: You can install OpenVINO Runtime using archive files or Docker. See [Install OpenVINO on Linux](installing-openvino-linux-header.md).
* Windows: You can install OpenVINO Runtime using archive files or Docker. See [Install OpenVINO on Windows](installing-openvino-windows-header.md).
* macOS: You can install OpenVINO Runtime using archive files or Docker. See [Install OpenVINO on macOS](installing-openvino-macos-header.md).
* [Raspbian OS](installing-openvino-raspbian.md).
> **NOTE**: With the introduction of the 2022.1 release, the OpenVINO Development Tools can be installed **only** via PyPI. See [Install OpenVINO Development Tools](installing-model-dev-tools.md) for detailed steps.

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@@ -6,16 +6,12 @@
:maxdepth: 3
:hidden:
Using Installer <openvino_docs_install_guides_installing_openvino_windows>
From PyPI <openvino_docs_install_guides_installing_openvino_pip>
From Anaconda Cloud <openvino_docs_install_guides_installing_openvino_conda>
Using Docker <openvino_docs_install_guides_installing_openvino_docker_windows>
@endsphinxdirective
If you want to install Intel® Distribution of OpenVINO™ toolkit on Windows, you have the following options:
* [Install OpenVINO Runtime using an installer](installing-openvino-windows.md)
* [Install OpenVINO from PyPI](installing-openvino-pip.md)
* [Install OpenVINO Runtime from Anaconda Cloud](installing-openvino-conda.md)
* [Install OpenVINO with Docker](installing-openvino-docker-windows.md)

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@@ -1,4 +1,4 @@
# Install and Configure Intel® Distribution of OpenVINO™ toolkit for Windows 10 {#openvino_docs_install_guides_installing_openvino_windows}
# Install and Configure Intel® Distribution of OpenVINO™ toolkit for Windows 10
> **NOTE**: Since the OpenVINO™ 2022.1 release, the following development tools: Model Optimizer, Post-Training Optimization Tool, Model Downloader and other Open Model Zoo tools, Accuracy Checker, and Annotation Converter are not part of the installer. These tools are now only available on [pypi.org](https://pypi.org/project/openvino-dev/).

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@@ -1,4 +1,4 @@
# Install Intel® Distribution of OpenVINO™ Toolkit for Linux Using YUM Repository {#openvino_docs_install_guides_installing_openvino_yum}
# Install Intel® Distribution of OpenVINO™ Toolkit for Linux Using YUM Repository
This guide provides installation steps for Intel® Distribution of OpenVINO™ toolkit for Linux distributed through the YUM repository.
@@ -132,7 +132,6 @@ sudo yum install openvino-opencv-<VERSION>.<UPDATE>.<PATCH>
After you have installed OpenVINO Runtime, if you decided to [install OpenVINO Model Development Tools](installing-model-dev-tools.md), make sure that you install external software dependencies first.
Refer to <a href="openvino_docs_install_guides_installing_openvino_linux.html#install-external-dependencies">Install External Software Dependencies</a> for detailed steps.
### Step 5 (Optional): Configure Inference on Non-CPU Devices

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@@ -32,11 +32,11 @@ python -m pip install --upgrade pip
<!--add this part in future-->
## Check if required external dependencies are installed
## Check if required external dependencies are installed (for pre-2022.2 releases)
For Ubuntu and RHEL 8 systems, if you installed OpenVINO Runtime via the installer, APT, or YUM repository, and decided to [install OpenVINO Development Tools](installing-model-dev-tools.md), make sure that you <a href="openvino_docs_install_guides_installing_openvino_linux.html#install-external-dependencies">Install External Software Dependencies</a> first.
For C++ developers with Windows systems, make sure that Microsoft Visual Studio 2019 with MSBuild and CMake 3.14 or higher (64-bit) are installed. While installing Microsoft Visual Studio 2019, make sure that you have selected **Desktop development with C++** in the **Workloads** tab. If not, launch the installer again to select that option. For more information on modifying the installation options for Microsoft Visual Studio, see its [official support page](https://docs.microsoft.com/en-us/visualstudio/install/modify-visual-studio?view=vs-2019).
For OpenVINO releases prior to 2022.2:
- If you are using Ubuntu or RHEL 8 systems, and installed OpenVINO Runtime via the installer, APT, or YUM repository, and then decided to [install OpenVINO Development Tools](installing-model-dev-tools.md), make sure that you **Install External Software Dependencies** first by following the steps in the corresponding installation pages.
- For C++ developers with Windows systems, make sure that Microsoft Visual Studio 2019 with MSBuild and CMake 3.14 or higher (64-bit) are installed. While installing Microsoft Visual Studio 2019, make sure that you have selected **Desktop development with C++** in the **Workloads** tab. If not, launch the installer again to select that option. For more information on modifying the installation options for Microsoft Visual Studio, see its [official support page](https://docs.microsoft.com/en-us/visualstudio/install/modify-visual-studio?view=vs-2019).
## Check if environment variables are set correctly