diff --git a/docs/install_guides/configurations-for-iei-card.md b/docs/install_guides/configurations-for-iei-card.md index df1df70a549..467ea870341 100644 --- a/docs/install_guides/configurations-for-iei-card.md +++ b/docs/install_guides/configurations-for-iei-card.md @@ -19,7 +19,7 @@ Using the IEI Mustang-V100-MX8 requires downloading and installing the most curr Visit the [IEI Download Center](https://download.ieiworld.com/) for the most current software and documentation. Search for **Mustang-V100-MX8**. -Download the appropriate software for your system, decompress the downloaded archive, enter the newly created directory, and run the install script: +Download the appropriate software for your system, extract the downloaded archive file, enter the newly created directory, and run the install script: On **Linux**: - Run the `install.sh script` with `sudo`, or as `root`. diff --git a/docs/install_guides/configurations-for-intel-gpu.md b/docs/install_guides/configurations-for-intel-gpu.md index 370d0793fe9..437c72448eb 100644 --- a/docs/install_guides/configurations-for-intel-gpu.md +++ b/docs/install_guides/configurations-for-intel-gpu.md @@ -11,7 +11,7 @@ ## Linux -If you have installed OpenVINO Runtime from the archive file, follow these steps to work with GPU: +If you have installed OpenVINO Runtime from the archive file, APT, or YUM, follow these steps to work with GPU: 1. Go to the install_dependencies directory: ```sh diff --git a/docs/install_guides/installing-openvino-from-archive-windows.md b/docs/install_guides/installing-openvino-from-archive-windows.md index 51eb420d0d5..759fdc16149 100644 --- a/docs/install_guides/installing-openvino-from-archive-windows.md +++ b/docs/install_guides/installing-openvino-from-archive-windows.md @@ -1,6 +1,6 @@ # Install OpenVINO™ Runtime on Windows from an Archive File {#openvino_docs_install_guides_installing_openvino_from_archive_windows} -With the OpenVINO™ 2022.2 release, you can download and use archive files to install OpenVINO Runtime. The archive files contain pre-built binaries and library files needed for OpenVINO Runtime, as well as code samples. +With the OpenVINO™ 2022.3 release, you can download and use archive files to install OpenVINO Runtime. The archive files contain pre-built binaries and library files needed for OpenVINO Runtime, as well as code samples. 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. @@ -65,29 +65,29 @@ See the [Release Notes](https://software.intel.com/en-us/articles/OpenVINO-RelNo ``` > **NOTE**: `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/2022.2/windows/) to your local `Downloads` folder. +2. Download the [OpenVINO Runtime archive file for Windows](https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3/windows/) to your local `Downloads` folder. If you prefer using command-lines, run the following commands in the command prompt window you opened: ```sh cd /Downloads - curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.2/windows/w_openvino_toolkit_windows_2022.2.0.7713.af16ea1d79a_x86_64.zip --output openvino_2022.2.0.7713.zip + curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3/windows/w_openvino_toolkit_windows_2022.3.0.9052.9752fafe8eb_x86_64.zip --output openvino_2022.3.0.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_2022.2.0.7713.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). + > **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_2022.3.0.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). -3. Use your favorite tool to extract the archive file, rename the extracted folder as `openvino_2022.2.0.7713`, and move it to the `C:\Program Files (x86)\Intel` directory. +3. Use your favorite tool to extract the archive file, rename the extracted folder, and move it to the `C:\Program Files (x86)\Intel` directory. To do this step using command-lines, run the following commands in the command prompt window you opened: ```sh - tar -xf openvino_2022.2.0.7713.zip - ren w_openvino_toolkit_windows_2022.2.0.7713.af16ea1d79a_x86_64 openvino_2022.2.0.7713 - move openvino_2022.2.0.7713 "C:\Program Files (x86)\Intel" + tar -xf openvino_2022.3.0.zip + ren w_openvino_toolkit_windows_2022.3.0.9052.9752fafe8eb_x86_64 openvino_2022.3.0 + move openvino_2022.3.0 "C:\Program Files (x86)\Intel" ``` 4. For simplicity, it is useful to create a symbolic link. Open a command prompt window as administrator (see Step 1 for how to do this) and run the following commands: ```sh cd C:\Program Files (x86)\Intel - mklink /D openvino_2022 openvino_2022.2.0.7713 + mklink /D openvino_2022 openvino_2022.3.0 ``` > **NOTE**: If you have already installed a previous release of OpenVINO 2022, a symbolic link to the `openvino_2022` folder may already exist. If you want to override it, nagivate to the `C:\Program Files (x86)\Intel` folder and delete the existing linked folder before running the `mklink` command. @@ -144,16 +144,16 @@ Now that you've installed OpenVINO Runtime, you're ready to run your own machine @sphinxdirective .. tab:: Get started with Python - Try the `Python Quick Start Example `_ to estimate depth in a scene using an OpenVINO monodepth model in a Jupyter Notebook inside your web browser. + Try the `Python Quick Start Example `_ to estimate depth in a scene using an OpenVINO monodepth model in a Jupyter Notebook inside your web browser. .. image:: https://user-images.githubusercontent.com/15709723/127752390-f6aa371f-31b5-4846-84b9-18dd4f662406.gif :width: 400 Visit the :ref:`Tutorials ` page for more Jupyter Notebooks to get you started with OpenVINO, such as: - * `OpenVINO Python API Tutorial `_ - * `Basic image classification program with Hello Image Classification `_ - * `Convert a PyTorch model and use it for image background removal `_ + * `OpenVINO Python API Tutorial `_ + * `Basic image classification program with Hello Image Classification `_ + * `Convert a PyTorch model and use it for image background removal `_ .. tab:: Get started with C++ diff --git a/docs/install_guides/installing-openvino-linux.md b/docs/install_guides/installing-openvino-linux.md index d98d09f9ae9..d6753f1161e 100644 --- a/docs/install_guides/installing-openvino-linux.md +++ b/docs/install_guides/installing-openvino-linux.md @@ -1,8 +1,10 @@ # Install OpenVINO™ Runtime on Linux from Installer -Currently only the following ways are provided to install OpenVINO™: +Currently the following ways are provided to install OpenVINO™: * [Install OpenVINO Runtime from an Archive File](installing-openvino-from-archive-linux.md) +* [Install OpenVINO Runtime from APT](@ref openvino_docs_install_guides_installing_openvino_apt) +* [Install OpenVINO Runtime from YUM](@ref openvino_docs_install_guides_installing_openvino_yum) * [Install OpenVINO from PyPI](installing-openvino-pip.md) * [Install OpenVINO with Docker](installing-openvino-docker-linux.md) * [Build From Source](https://github.com/openvinotoolkit/openvino/wiki/BuildingCode) diff --git a/docs/install_guides/installing-openvino-pip.md b/docs/install_guides/installing-openvino-pip.md index f5d671cddfb..aad9850c149 100644 --- a/docs/install_guides/installing-openvino-pip.md +++ b/docs/install_guides/installing-openvino-pip.md @@ -86,13 +86,13 @@ Now that you've installed OpenVINO Runtime, you're ready to run your own machine -Try the [Python Quick Start Example](https://docs.openvino.ai/2022.2/notebooks/201-vision-monodepth-with-output.html) to estimate depth in a scene using an OpenVINO monodepth model in a Jupyter Notebook inside your web browser. +Try the [Python Quick Start Example](https://docs.openvino.ai/nightly/notebooks/201-vision-monodepth-with-output.html) to estimate depth in a scene using an OpenVINO monodepth model in a Jupyter Notebook inside your web browser. ### Get started with Python Visit the [Tutorials](../tutorials.md) page for more Jupyter Notebooks to get you started with OpenVINO, such as: -* [OpenVINO Python API Tutorial](https://docs.openvino.ai/2022.2/notebooks/002-openvino-api-with-output.html) -* [Basic image classification program with Hello Image Classification](https://docs.openvino.ai/2022.2/notebooks/001-hello-world-with-output.html) -* [Convert a PyTorch model and use it for image background removal](https://docs.openvino.ai/2022.2/notebooks/205-vision-background-removal-with-output.html) +* [OpenVINO Python API Tutorial](https://docs.openvino.ai/nightly/notebooks/002-openvino-api-with-output.html) +* [Basic image classification program with Hello Image Classification](https://docs.openvino.ai/nightly/notebooks/001-hello-world-with-output.html) +* [Convert a PyTorch model and use it for image background removal](https://docs.openvino.ai/nightly/notebooks/205-vision-background-removal-with-output.html) ### Run OpenVINO on accelerated devices OpenVINO Runtime has a plugin architecture that enables you to run inference on multiple devices without rewriting your code. Supported devices include integrated GPUs, discrete GPUs, NCS2, VPUs, and GNAs. Visit the [Additional Configurations](configurations-header.md) page for instructions on how to configure your hardware devices to work with OpenVINO.