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Updated list of supported OS for PyPi (#5525)

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* Updated list of supported OS for PyPi

* merge of Helena branch

* 55103: add instructions to install Microsoft* Visual C++ Redistributable Package
This commit is contained in:
Sergey Lyubimtsev
2021-05-07 12:04:51 +03:00
committed by GitHub
parent 696aa37c37
commit d339cbebfb
2 changed files with 42 additions and 29 deletions
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docs/install_guides/pypi-openvino-dev.md
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@@ -12,48 +12,57 @@ OpenVINO™ toolkit is a comprehensive toolkit for quickly developing applicatio
| Component | Description |
|-----------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| [Model Optimizer](https://docs.openvinotoolkit.org/latest/openvino_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide.html) | This tool imports, converts, and optimizes models that were trained in popular frameworks to a format usable by Intel tools, especially the Inference Engine. <br>Popular frameworks include Caffe\*, TensorFlow\*, MXNet\*, and ONNX\*. |
| Additional Tools | A set of tools to work with your models including [Accuracy Checker utility](https://docs.openvinotoolkit.org/latest/omz_tools_accuracy_checker.html), [Post-Training Optimization Tool](https://docs.openvinotoolkit.org/latest/pot_README.html) |
| [Model Optimizer](https://docs.openvinotoolkit.org/latest/openvino_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide.html) | This tool imports, converts, and optimizes models that were trained in popular frameworks to a format usable by Intel tools, especially the Inference Engine. <br>Popular frameworks include Caffe\*, TensorFlow\*, MXNet\*, and ONNX\*. |
| Additional Tools | A set of tools to work with your models including [Accuracy Checker utility](https://docs.openvinotoolkit.org/latest/omz_tools_accuracy_checker.html), [Post-Training Optimization Tool](https://docs.openvinotoolkit.org/latest/pot_README.html), [Benchmark Tool](../../inference-engine/samples/benchmark_app/README.md) |
**The Runtime Package Includes the Following Components Installed by Dependency:**
| Component | Description |
|-----------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| [Inference Engine](https://pypi.org/project/openvino) | This is the engine that runs the deep learning model. It includes a set of libraries for an easy inference integration into your applications. |
| [Inference Engine](https://pypi.org/project/openvino) | This is the engine that runs the deep learning model. It includes a set of libraries for an easy inference integration into your applications. |
## System Requirements
The complete list of supported hardware is available in the [Release Notes](https://software.intel.com/content/www/us/en/develop/articles/openvino-relnotes.html#inpage-nav-8).
The table below lists the supported operating systems and Python* versions required to run the installation.
| Supported Operating System | [Python* Version (64-bit)](https://www.python.org/) |
| :------------------------------------------------------------| :---------------------------------------------------|
| Ubuntu* 18.04 long-term support (LTS), 64-bit | 3.6, 3.7 |
| Ubuntu* 20.04 long-term support (LTS), 64-bit | 3.6, 3.7 |
| Red Hat* Enterprise Linux* 8, 64-bit | 3.6, 3.7 |
| CentOS* 7, 64-bit | 3.6, 3.7 |
| Ubuntu* 18.04 long-term support (LTS), 64-bit | 3.6, 3.7, 3.8 |
| Ubuntu* 20.04 long-term support (LTS), 64-bit | 3.6, 3.7, 3.8 |
| Red Hat* Enterprise Linux* 8, 64-bit | 3.6, 3.8 |
| CentOS* 7, 64-bit | 3.6, 3.7, 3.8 |
| macOS* 10.15.x versions | 3.6, 3.7, 3.8 |
| Windows 10*, 64-bit | 3.6, 3.7, 3.8 |
> **NOTE**: This package can be installed on other versions of Linux and Windows OSes, but only the specific versions above are fully validated.
> **NOTE**: This package can be installed on other versions of macOS, Linux and Windows, but only the specific versions above are fully validated.
## Install the Developer Package
### Step 1. Set Up Python Virtual Environment
### Step 1. Install External Software Dependencies
On Windows* OS you are required to install [Microsoft* Visual C++ Redistributable Package (x64)](https://visualstudio.microsoft.com/downloads/#microsoft-visual-c-redistributable-for-visual-studio-2019) to be able to run OpenVINO™ applications.
### Step 2. Set Up Python Virtual Environment
To avoid dependency conflicts, use a virtual environment. Skip this
step only if you do want to install all dependencies globally.
Create virtual environment:
On Linux and macOS:
```sh
# Depending on your OS, this step may require installing python3-venv
python3 -m venv openvino_env
```
On Windows:
```sh
python -m pip install --user virtualenv
python -m venv openvino_env
```
> **NOTE**: On Linux and macOS, you may need to type `python3` instead of
`python`. You may also need to [install pip](https://pip.pypa.io/en/stable/installing/).
### Step 2. Activate Virtual Environment
### Step 3. Activate Virtual Environment
On Linux and macOS:
```sh
@@ -64,14 +73,14 @@ On Windows:
openvino_env\Scripts\activate
```
### Step 3. Set Up and Update pip to the Highest Version
### Step 4. Set Up and Update pip to the Highest Version
Run the command below:
```sh
python -m pip install --upgrade pip
```
### Step 4. Install the Package
### Step 5. Install the Package
Run the command below: <br>
@@ -79,7 +88,7 @@ Run the command below: <br>
pip install openvino-dev
```
### Step 5. Verify that the Package is Installed
### Step 6. Verify that the Package is Installed
Run the command below (this may take a few seconds):
```sh
@@ -92,4 +101,3 @@ You will see the help message for Post-Training Optimization Tool if installatio
- Intel® Distribution of OpenVINO™ toolkit home page: [https://software.intel.com/en-us/openvino-toolkit](https://software.intel.com/en-us/openvino-toolkit)
- OpenVINO™ toolkit online documentation: [https://docs.openvinotoolkit.org](https://docs.openvinotoolkit.org)
docs/install_guides/pypi-openvino-rt.md
+16 -11
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@@ -8,7 +8,7 @@ license terms for third party or open source software included in or with the So
OpenVINO™ toolkit is a comprehensive toolkit for quickly developing applications and solutions that solve a variety of tasks including emulation of human vision, automatic speech recognition, natural language processing, recommendation systems, and many others. Based on latest generations of artificial neural networks, including Convolutional Neural Networks (CNNs), recurrent and attention-based networks, the toolkit extends computer vision and non-vision workloads across Intel® hardware, maximizing performance. It accelerates applications with high-performance, AI and deep learning inference deployed from edge to cloud.
The Intel® Distribution of OpenVINO™ toolkit for Linux\*:
The Intel® Distribution of OpenVINO™ toolkit\*:
- Enables CNN-based deep learning inference on the edge
- Supports heterogeneous execution across Intel® CPU, Intel® Integrated Graphics, Intel® Neural Compute Stick 2, and Intel® Vision Accelerator Design with Intel® Movidius™ VPUs
- Speeds time-to-market via an easy-to-use library of computer vision functions and pre-optimized kernels
@@ -20,15 +20,16 @@ The Intel® Distribution of OpenVINO™ toolkit for Linux\*:
| [Inference Engine](https://docs.openvinotoolkit.org/latest/openvino_docs_IE_DG_inference_engine_intro.html) | This is the engine that runs the deep learning model. It includes a set of libraries for an easy inference integration into your applications. |
## System Requirements
The complete list of supported hardware is available in the [Release Notes](https://software.intel.com/content/www/us/en/develop/articles/openvino-relnotes.html#inpage-nav-8).
The table below lists the supported operating systems and Python* versions required to run the installation.
The table below lists supported operating systems and Python* versions required to run the installation.
| Supported Operating System | [Python* Version (64-bit)](https://www.python.org/) |
| :------------------------------------------------------------| :---------------------------------------------------|
| Ubuntu* 18.04 long-term support (LTS), 64-bit | 3.6, 3.7 |
| Ubuntu* 20.04 long-term support (LTS), 64-bit | 3.6, 3.7 |
| Red Hat* Enterprise Linux* 8, 64-bit | 3.6, 3.7 |
| CentOS* 7, 64-bit | 3.6, 3.7 |
| Ubuntu* 18.04 long-term support (LTS), 64-bit | 3.6, 3.7, 3.8 |
| Ubuntu* 20.04 long-term support (LTS), 64-bit | 3.6, 3.7, 3.8 |
| Red Hat* Enterprise Linux* 8, 64-bit | 3.6, 3.8 |
| CentOS* 7, 64-bit | 3.6, 3.7, 3.8 |
| macOS* 10.15.x versions | 3.6, 3.7, 3.8 |
| Windows 10*, 64-bit | 3.6, 3.7, 3.8 |
@@ -36,7 +37,11 @@ The table below lists the supported operating systems and Python* versions requi
## Install the Runtime Package
### Step 1. Set Up Python Virtual Environment
### Step 1. Install External Software Dependencies
On Windows* OS you are required to install [Microsoft* Visual C++ Redistributable Package (x64)](https://visualstudio.microsoft.com/downloads/#microsoft-visual-c-redistributable-for-visual-studio-2019) to be able to run OpenVINO™ applications.
### Step 2. Set Up Python Virtual Environment
To avoid dependency conflicts, use a virtual environment. Skip this
step only if you do want to install all dependencies globally.
@@ -50,7 +55,7 @@ python -m venv openvino_env
> **NOTE**: On Linux and macOS, you may need to type `python3` instead of
`python`. You may also need to [install pip](https://pip.pypa.io/en/stable/installing/).
### Step 2. Activate Virtual Environment
### Step 3. Activate Virtual Environment
On Linux and macOS:
```sh
@@ -61,14 +66,14 @@ On Windows:
openvino_env\Scripts\activate
```
### Step 3. Set Up and Update pip to the Highest Version
### Step 4. Set Up and Update pip to the Highest Version
Run the command below:
```sh
python -m pip install --upgrade pip
```
### Step 4. Install the Package
### Step 5. Install the Package
Run the command below: <br>
@@ -76,7 +81,7 @@ Run the command below: <br>
pip install openvino
```
### Step 5. Verify that the Package is Installed
### Step 6. Verify that the Package is Installed
Run the command below:
```sh