change links

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

@@ -160,7 +160,7 @@ Note that the commands are different for a Python installation and a C++ install
 @endsphinxdirective
 
 
-For more details on the openvino-dev PyPI package, see https://pypi.org/project/openvino-dev/2022.3.1/.
+For more details on the openvino-dev PyPI package, see https://pypi.org/project/openvino-dev/2022.3.2/.
 
 ### Step 5. Test the Installation
 

docs/install_guides/installing-openvino-conda.md

@@ -42,29 +42,29 @@ Installing OpenVINO Runtime with Anaconda Package Manager
 
    .. code-block:: sh
 
-      conda install -c conda-forge openvino=2022.3.1
+      conda install -c conda-forge openvino=2022.3.2
 
    Congratulations! You have finished installing OpenVINO Runtime.
 
 
 Uninstalling OpenVINO™ Runtime
 ###########################################################
 
-Once OpenVINO Runtime is installed via Conda, you can remove it using the following command, 
+Once OpenVINO Runtime is installed via Conda, you can remove it using the following command,
 with the proper OpenVINO version number:
 
 .. code-block:: sh
 
-   conda remove openvino=2022.3.1
+   conda remove openvino=2022.3.2
 
 
 What's Next?
 ############################################################
 
-Now that you've installed OpenVINO Runtime, you are ready to run your own machine learning applications! 
+Now that you've installed OpenVINO Runtime, you are ready to run your own machine learning applications!
 To learn more about how to integrate a model in OpenVINO applications, try out some tutorials and sample applications.
 
-Try the :doc:`C++ Quick Start Example <openvino_docs_get_started_get_started_demos>` for step-by-step instructions 
+Try the :doc:`C++ Quick Start Example <openvino_docs_get_started_get_started_demos>` for step-by-step instructions
 on building and running a basic image classification C++ application.
 
 .. image:: https://user-images.githubusercontent.com/36741649/127170593-86976dc3-e5e4-40be-b0a6-206379cd7df5.jpg

docs/install_guides/installing-openvino-from-archive-linux.md

@@ -4,7 +4,7 @@ With the OpenVINO™ 2022.3 release, you can download and use archive files to i
 
 Installing OpenVINO Runtime from archive files is recommended for C++ developers. If you are working with Python, the PyPI package has everything needed for Python development and deployment on CPU and GPUs. See the [Install OpenVINO from PyPI](installing-openvino-pip.md) page for instructions on how to install OpenVINO Runtime for Python using PyPI.
 
-> **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 can be installed via [pypi.org](https://pypi.org/project/openvino-dev/2022.3.1/) only.
+> **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 can be installed via [pypi.org](https://pypi.org/project/openvino-dev/2022.3.2/) only.
 
 See the [Release Notes](https://www.intel.com/content/www/us/en/developer/articles/release-notes/openvino-2022-3-lts-relnotes.html) for more information on updates in the latest release.
 
@@ -84,45 +84,45 @@ See the [Release Notes](https://www.intel.com/content/www/us/en/developer/articl
 
       cd <user_home>/Downloads
 
-4. Download the `OpenVINO Runtime archive file for your system <https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3.1/linux/>`__, extract the files, rename the extracted folder and move it to the desired path:
+4. Download the `OpenVINO Runtime archive file for your system <https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3.2/linux/>`__, extract the files, rename the extracted folder and move it to the desired path:
 
    .. tab:: Ubuntu 20.04
 
       .. code-block:: sh
 
-         curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3.1/linux/l_openvino_toolkit_ubuntu20_2022.3.1.9227.cf2c7da5689_x86_64.tgz --output openvino_2022.3.1.tgz
-         tar -xf openvino_2022.3.1.tgz
-         sudo mv l_openvino_toolkit_ubuntu20_2022.3.1.9227.cf2c7da5689_x86_64 /opt/intel/openvino_2022.3.1
+         curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3.2/linux/l_openvino_toolkit_ubuntu20_2022.3.2.9279.e2c7e4d7b4d_x86_64.tgz --output openvino_2022.3.2.tgz
+         tar -xf openvino_2022.3.2.tgz
+         sudo mv l_openvino_toolkit_ubuntu20_2022.3.2.9279.e2c7e4d7b4d_x86_64 /opt/intel/openvino_2022.3.2
 
    .. tab:: Ubuntu 18.04
 
       .. code-block:: sh
 
-         curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3.1/linux/l_openvino_toolkit_ubuntu18_2022.3.1.9227.cf2c7da5689_x86_64.tgz --output openvino_2022.3.1.tgz
-         tar -xf openvino_2022.3.1.tgz
-         sudo mv l_openvino_toolkit_ubuntu18_2022.3.1.9227.cf2c7da5689_x86_64 /opt/intel/openvino_2022.3.1
+         curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3.2/linux/l_openvino_toolkit_ubuntu18_2022.3.2.9279.e2c7e4d7b4d_x86_64.tgz --output openvino_2022.3.2.tgz
+         tar -xf openvino_2022.3.2.tgz
+         sudo mv l_openvino_toolkit_ubuntu18_2022.3.2.9279.e2c7e4d7b4d_x86_64 /opt/intel/openvino_2022.3.2
 
    .. tab:: RHEL 8
 
       .. code-block:: sh
 
-         curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3.1/linux/l_openvino_toolkit_rhel8_2022.3.1.9227.cf2c7da5689_x86_64.tgz --output openvino_2022.3.1.tgz
-         tar -xf openvino_2022.3.1.tgz
-         sudo mv l_openvino_toolkit_rhel8_2022.3.1.9227.cf2c7da5689_x86_64 /opt/intel/openvino_2022.3.1
+         curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3.2/linux/l_openvino_toolkit_rhel8_2022.3.2.9279.e2c7e4d7b4d_x86_64.tgz --output openvino_2022.3.2.tgz
+         tar -xf openvino_2022.3.2.tgz
+         sudo mv l_openvino_toolkit_rhel8_2022.3.2.9279.e2c7e4d7b4d_x86_64 /opt/intel/openvino_2022.3.2
 
    .. tab:: CentOS 7
 
       .. code-block:: sh
 
-         curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3.1/linux/l_openvino_toolkit_centos7_2022.3.1.9227.cf2c7da5689_x86_64.tgz --output openvino_2022.3.1.tgz
-         tar -xf openvino_2022.3.1.tgz
-         sudo mv l_openvino_toolkit_centos7_2022.3.1.9227.cf2c7da5689_x86_64 /opt/intel/openvino_2022.3.1
+         curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3.2/linux/l_openvino_toolkit_centos7_2022.3.2.9279.e2c7e4d7b4d_x86_64.tgz --output openvino_2022.3.2.tgz
+         tar -xf openvino_2022.3.2.tgz
+         sudo mv l_openvino_toolkit_centos7_2022.3.2.9279.e2c7e4d7b4d_x86_64 /opt/intel/openvino_2022.3.2
 
 5. Install required system dependencies on Linux. To do this, OpenVINO provides a script in the extracted installation directory. Run the following command:
 
    .. code-block:: sh
 
-      cd /opt/intel/openvino_2022.3.1
+      cd /opt/intel/openvino_2022.3.2
       sudo -E ./install_dependencies/install_openvino_dependencies.sh
 
 6. (Optional) Install *numpy* Python Library:
@@ -131,19 +131,19 @@ See the [Release Notes](https://www.intel.com/content/www/us/en/developer/articl
 
       This step is required only when you decide to use Python API.
 
-   You can use the ``requirements.txt`` file from the ``/opt/intel/openvino_2022.3.1/python/python.<x>`` folder:
+   You can use the ``requirements.txt`` file from the ``/opt/intel/openvino_2022.3.2/python/python.<x>`` folder:
 
    .. code-block:: sh
 
-      cd /opt/intel/openvino_2022.3.1
+      cd /opt/intel/openvino_2022.3.2
       python3 -m pip install -r ./python/python3.<x>/requirements.txt
 
 7. For simplicity, it is useful to create a symbolic link as below:
 
    .. code-block:: sh
 
       cd /opt/intel
-      sudo ln -s openvino_2022.3.1 openvino_2022
+      sudo ln -s openvino_2022.3.2 openvino_2022
 
    .. note::
       If you have already installed a previous release of OpenVINO 2022, a symbolic link to the ``openvino_2022`` folder may already exist. Unlink the previous link with ``sudo unlink openvino_2022``, and then re-run the command above.
@@ -158,7 +158,7 @@ You must update several environment variables before you can compile and run Ope
 
 ```sh
 source /opt/intel/openvino_2022/setupvars.sh
-```  
+```
 
 If you have more than one OpenVINO version on your machine, you can easily switch its version by sourcing the `setupvars.sh` of your choice.
 

docs/install_guides/installing-openvino-from-archive-macos.md

@@ -6,7 +6,7 @@ Installing OpenVINO Runtime from archive files is recommended for C++ developers
 
 See the [Release Notes](https://www.intel.com/content/www/us/en/developer/articles/release-notes/openvino-2022-3-lts-relnotes.html) for more information on updates in the latest release.
 
-> **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 can be installed via [pypi.org](https://pypi.org/project/openvino-dev/2022.3.1/) only.
+> **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 can be installed via [pypi.org](https://pypi.org/project/openvino-dev/2022.3.2/) only.
 
 @sphinxdirective
 
@@ -47,42 +47,42 @@ See the [Release Notes](https://www.intel.com/content/www/us/en/developer/articl
 
       cd <user_home>/Downloads
 
-4. Download the `OpenVINO Runtime archive file for macOS <https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3/macos/>`__, extract the files, rename the extracted folder and move it to the desired path:
+4. Download the `OpenVINO Runtime archive file for macOS <https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3.2/macos/>`__, extract the files, rename the extracted folder and move it to the desired path:
 
    .. tab:: x86, 64-bit
 
       .. code-block:: sh
 
-         curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3.1/macos/m_openvino_toolkit_macos_10_15_2022.3.1.9227.cf2c7da5689_x86_64.tgz --output openvino_2022.3.1.tgz
-         tar -xf openvino_2022.3.1.tgz
-         sudo mv m_openvino_toolkit_macos_10_15_2022.3.1.9227.cf2c7da5689_x86_64 /opt/intel/openvino_2022.3.1
+         curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3.2/macos/m_openvino_toolkit_macos_10_15_2022.3.2.9279.e2c7e4d7b4d_x86_64.tgz --output openvino_2022.3.2.tgz
+         tar -xf openvino_2022.3.2.tgz
+         sudo mv m_openvino_toolkit_macos_10_15_2022.3.2.9279.e2c7e4d7b4d_x86_64 /opt/intel/openvino_2022.3.2
 
    .. tab:: ARM, 64-bit
 
       .. code-block:: sh
 
-         curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3.1/macos/m_openvino_toolkit_macos_11_0_2022.3.1.9227.cf2c7da5689_arm64.tgz --output openvino_2022.3.1.tgz
-         tar -xf openvino_2022.3.1.tgz
-         sudo mv m_openvino_toolkit_macos_11_0_2022.3.1.9227.cf2c7da5689_arm64 /opt/intel/openvino_2022.3.1
+         curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3.2/macos/m_openvino_toolkit_macos_11_0_2022.3.2.9279.e2c7e4d7b4d_arm64.tgz --output openvino_2022.3.2.tgz
+         tar -xf openvino_2022.3.2.tgz
+         sudo mv m_openvino_toolkit_macos_11_0_2022.3.2.9279.e2c7e4d7b4d_arm64 /opt/intel/openvino_2022.3.2
 
 5. (Optional) Install *numpy* Python Library:
 
    .. note::
 
       This step is required only when you decide to use Python API.
 
-   You can use the ``requirements.txt`` file from the ``opt/intel/openvino_2022.3.1/python/python.<x>`` folder:
+   You can use the ``requirements.txt`` file from the ``opt/intel/openvino_2022.3.2/python/python.<x>`` folder:
 
    .. code-block:: sh
 
-      cd /opt/intel/openvino_2022.3.1
+      cd /opt/intel/openvino_2022.3.2
       python3 -m pip install -r ./python/python3.<x>/requirements.txt
 
 6. For simplicity, it is useful to create a symbolic link as below:
 
    .. code-block:: sh
 
-      sudo ln -s openvino_2022.3.1 openvino_2022
+      sudo ln -s openvino_2022.3.2 openvino_2022
 
    .. note::
 
@@ -98,7 +98,7 @@ You must update several environment variables before you can compile and run Ope
 
 ```sh
 source /opt/intel/openvino_2022/setupvars.sh
-```  
+```
 
 If you have more than one OpenVINO™ version on your machine, you can easily switch its version by sourcing the `setupvars.sh` of your choice.
 
@@ -169,13 +169,13 @@ To uninstall the toolkit, follow the steps on the [Uninstalling page](uninstalli
 * IoT libraries and code samples in the GitHUB repository: `Intel® IoT Developer Kit`_
 
 <!---
-   To learn more about converting models from specific frameworks, go to:  
+   To learn more about converting models from specific frameworks, go to:
    * :ref:`Convert Your Caffe Model <convert model caffe>`
    * :ref:`Convert Your TensorFlow Model <convert model tf>`
    * :ref:`Convert Your Apache MXNet Model <convert model mxnet>`
    * :ref:`Convert Your Kaldi Model <convert model kaldi>`
    * :ref:`Convert Your ONNX Model <convert model onnx>`
---->   
+--->
 .. _Intel® IoT Developer Kit: https://github.com/intel-iot-devkit
 
 @endsphinxdirective

docs/install_guides/installing-openvino-from-archive-windows.md

@@ -4,7 +4,7 @@ With the OpenVINO™ 2022.3 release, you can download and use archive files to i
 
 Installing OpenVINO Runtime from archive files is recommended for C++ developers. If you are working with Python, the PyPI package has everything needed for Python development and deployment on CPU and GPUs. See the [Install OpenVINO from PyPI](installing-openvino-pip.md) page for instructions on how to install OpenVINO Runtime for Python using PyPI.
 
-> **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 can be installed via [pypi.org](https://pypi.org/project/openvino-dev/2022.3.1/) only.
+> **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 can be installed via [pypi.org](https://pypi.org/project/openvino-dev/2022.3.2/) only.
 
 See the [Release Notes](https://www.intel.com/content/www/us/en/developer/articles/release-notes/openvino-2022-3-lts-relnotes.html) for more information on updates in the latest release.
 
@@ -58,19 +58,19 @@ See the [Release Notes](https://www.intel.com/content/www/us/en/developer/articl
 
       ``C:\Program Files (x86)\Intel`` is the recommended folder. You may also use a different path if desired or if you don't have administrator privileges on your computer.
 
-2. Download the `OpenVINO Runtime archive file for Windows <https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3.1/windows/>`__ to your local ``Downloads`` folder.
+2. Download the `OpenVINO Runtime archive file for Windows <https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3.2/windows/>`__ to your local ``Downloads`` folder.
 
    If you prefer using command-lines, run the following commands in the command prompt window you opened:
 
    .. code-block:: sh
 
       cd <user_home>/Downloads
-      curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3.1/windows/w_openvino_toolkit_windows_2022.3.1.9227.cf2c7da5689_x86_64.zip --output openvino_2022.3.1.zip
+      curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3.2/windows/w_openvino_toolkit_windows_2022.3.2.9279.e2c7e4d7b4d_x86_64.zip--output openvino_2022.3.2.zip
 
 
    .. note::
 
-      A ``.sha256`` file is provided together with the archive file to validate your download process. To do that, download the ``.sha256`` file from the same repository and run ``CertUtil -hashfile openvino_2022.3.1.zip SHA256``. Compare the returned value in the output with what's in the ``.sha256`` file: if the values are the same, you have downloaded the correct 
+      A ``.sha256`` file is provided together with the archive file to validate your download process. To do that, download the ``.sha256`` file from the same repository and run ``CertUtil -hashfile openvino_2022.3.2.zip SHA256``. Compare the returned value in the output with what's in the ``.sha256`` file: if the values are the same, you have downloaded the correct
       file successfully; if not, create a Support ticket `here <https://www.intel.com/content/www/us/en/support/contact-intel.html>`__.
 
 
@@ -80,9 +80,9 @@ See the [Release Notes](https://www.intel.com/content/www/us/en/developer/articl
 
    .. code-block:: sh
 
-      tar -xf openvino_2022.3.1.zip
-      ren w_openvino_toolkit_windows_2022.3.1.9227.cf2c7da5689_x86_64 openvino_2022.3.1
-      move openvino_2022.3.1 "C:\Program Files (x86)\Intel"
+      tar -xf openvino_2022.3.2.zip
+      ren w_openvino_toolkit_windows_2022.3.2.9227.cf2c7da5689_x86_64 openvino_2022.3.2
+      move openvino_2022.3.2 "C:\Program Files (x86)\Intel"
 
 
 6. (Optional) Install *numpy* Python Library:
@@ -91,11 +91,11 @@ See the [Release Notes](https://www.intel.com/content/www/us/en/developer/articl
 
       This step is required only when you decide to use Python API.
 
-   You can use the ``requirements.txt`` file from the ``C:\Program Files (x86)\Intel\openvino_2022.3.1\python\python.<x>`` folder:
+   You can use the ``requirements.txt`` file from the ``C:\Program Files (x86)\Intel\openvino_2022.3.2\python\python.<x>`` folder:
 
    .. code-block:: sh
 
-      cd "C:\Program Files (x86)\Intel\openvino_2022.3.1"
+      cd "C:\Program Files (x86)\Intel\openvino_2022.3.2"
       python -m pip install -r .\python\python3.<x>\requirements.txt
 
 
@@ -205,14 +205,7 @@ To uninstall OpenVINO, follow the steps on the [Uninstalling page](uninstalling-
 * Pre-trained deep learning models: :ref:`Overview of OpenVINO™ Toolkit Pre-Trained Models <model zoo>`
 * IoT libraries and code samples in the GitHUB repository: `Intel® IoT Developer Kit`_
 
-<!---  
-   To learn more about converting models from specific frameworks, go to:
-   * :ref:`Convert Your Caffe Model <convert model caffe>`
-   * :ref:`Convert Your TensorFlow Model <convert model tf>`
-   * :ref:`Convert Your Apache MXNet Model <convert model mxnet>`
-   * :ref:`Convert Your Kaldi Model <convert model kaldi>`
-   * :ref:`Convert Your ONNX Model <convert model onnx>`
---->    
+
 .. _Intel® IoT Developer Kit: https://github.com/intel-iot-devkit
 
 @endsphinxdirective

docs/install_guides/installing-openvino-pip.md

@@ -7,14 +7,14 @@ You can install both OpenVINO™ Runtime and OpenVINO Development Tools through
 .. note:
 
    * If you install OpenVINO Development Tools, OpenVINO Runtime will also be installed as a dependency, so you don't need to install it separately.
-   * The PyPI distribution does not include support for VPU, VAD, and HDDL. For information on how to use these devices, 
+   * The PyPI distribution does not include support for VPU, VAD, and HDDL. For information on how to use these devices,
      see :doc:`Additional Configurations For Hardware <openvino_docs_install_guides_configurations_header>`
 
 
 Installing OpenVINO Runtime
 ###########################
 
-For system requirements and troubleshooting, see https://pypi.org/project/openvino/2022.3.1/
+For system requirements and troubleshooting, see https://pypi.org/project/openvino/2022.3.2/
 
 Step 1. Set Up Python Virtual Environment
 +++++++++++++++++++++++++++++++++++++++++