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Fix version of OpenVINO and branding on Media Reference Stack (#1095)

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* Fix OpenVINO version branding

MeRS uses the open source OpenVINO not the Intel® Distribution of OpenVINO™ toolkit

* Fix line length warnings

* Fix OpenVINO trademark branding

Fix OpenVINO trademark branding and add required acknowledgement
This commit is contained in:
puneetse
2020-03-26 13:10:27 -07:00
committed by GitHub
parent 40559931b6
commit 154beef96e
1 changed files with 32 additions and 19 deletions
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@@ -21,9 +21,12 @@ complex standard-compliant encoders, and optimizing across the
hardware-software stack for efficiency are all engineering and time
investments for developers.
The Media Reference Stack (MeRS) offers a highly optimized software stack for Intel Architecture to enable media prioritized workloads, such as
transcoding and analytics. |MERS| abstracts away the complexity of
integrating multiple software components and specifically tunes them for Intel platforms. |MERS| allows media and visual cloud developers to deliver experiences using a simple containerized solution.
The Media Reference Stack (MeRS) offers a highly optimized software stack for
Intel Architecture to enable media prioritized workloads, such as transcoding
and analytics. |MERS| abstracts away the complexity of integrating multiple
software components and specifically tunes them for Intel platforms. |MERS|
allows media and visual cloud developers to deliver experiences using a simple
containerized solution.
Prerequisites
=============
@@ -54,7 +57,8 @@ The |MERS| provides a `pre-built Docker image available on DockerHub
<https://hub.docker.com/r/clearlinux/stacks-mers>`_, which includes
instructions on build the image from source. |MERS| is open-sourced to ensure
developers have easy access to the source code and are able to customize it.
|MERS| is built using the *clearlinux:latest* Docker image and aims to support the latest |CL| version.
|MERS| is built using the *clearlinux:latest* Docker image and aims to support
the latest |CL| version.
|MERS| provides the following libraries:
@@ -72,30 +76,32 @@ developers have easy access to the source code and are able to customize it.
Components of the |MERS| include:
* |CL| as a base for performance and security
* |CL| as a base for performance and security.
* `Intel® Distribution of OpenVINO™ toolkit
<https://software.intel.com/en-us/openvino-toolkit>`_ for inference.
* `OpenVINO™ toolkit
<https://01.org/openvinotoolkit>`_ for inference.
* `FFmpeg <https://www.ffmpeg.org>`_ with `Scalable Video Technology (SVT)
* `FFmpeg* <https://www.ffmpeg.org>`_ with `Scalable Video Technology (SVT)
<https://01.org/svt>`_ plugins for encoding, decoding, and transcoding.
* `GStreamer <https://gstreamer.freedesktop.org/>`_ with `Scalable Video
* `GStreamer* <https://gstreamer.freedesktop.org/>`_ with `Scalable Video
Technology (SVT) <https://01.org/svt>`_ and `OpenVINO™ toolkit
<https://software.intel.com/en-us/openvino-toolkit>`_ plugins for
analytics.
<https://01.org/openvinotoolkit>`_ plugins for analytics.
.. note::
The pre-built |MERS| container image configures :command:`FFmpeg` without
certain elements (specific encoder, decoder, muxer, etc.) that you may
require. If you require changes to :command:`FFmpeg` we suggest starting at :ref:`building-the-mers-container-image`.
require. If you require changes to :command:`FFmpeg` we suggest starting at
:ref:`building-the-mers-container-image`.
.. note::
The Media Reference Stack is a collective work, and each piece of software
within the work has its own license. Please see the `MeRS Terms of Use
<https://clearlinux.org/stacks/media/terms-of-use>`_ for more details about licensing and usage of the Media Reference Stack.
<https://clearlinux.org/stacks/media/terms-of-use>`_ for more details about
licensing and usage of the Media Reference Stack.
Getting the pre-built |MERS| container image
@@ -119,7 +125,8 @@ To use the |MERS|:
The |MERS| docker image is large in size and will take some time to
download depending on your Internet connection.
If you are on a network with outbound proxies, be sure to configure Docker allow access. See the `Docker service proxy
If you are on a network with outbound proxies, be sure to configure
Docker allow access. See the `Docker service proxy
<https://docs.docker.com/config/daemon/systemd/#httphttps-proxy>`_ and
`Docker client proxy
<https://docs.docker.com/network/proxy/#configure-the-docker-client>`_
@@ -133,10 +140,12 @@ To use the |MERS|:
This will launch the image and drop you into a bash shell inside the
container. :command:`GStreamer` and :command:`FFmpeg` programs are
installed in the container image and accessible in the default $PATH. These programs can be used as you would normally outside of |MERS|.
installed in the container image and accessible in the default $PATH. These
programs can be used as you would normally outside of |MERS|.
Paths to media files and video devices, such as cameras, can be shared from the host to the container with the :command:`--volume` switch
`using Docker volumes <https://docs.docker.com/storage/volumes/>`_.
Paths to media files and video devices, such as cameras, can be shared from
the host to the container with the :command:`--volume` switch `using Docker
volumes <https://docs.docker.com/storage/volumes/>`_.
.. _building-the-mers-container-image:
@@ -239,8 +248,9 @@ Guide <https://github.com/opencv/gst-video-analytics/wiki>`_ except simply
substituting the *gst-video-analytics* docker image for the
*clearlinux/stacks-mers* image.
The example below shows how to use the |MERS| container image to perform
video with object detection and attributes recognition of a video using GStreamer using pre-trained models and sample video files.
The example below shows how to use the |MERS| container image to perform video
with object detection and attributes recognition of a video using GStreamer
using pre-trained models and sample video files.
#. On the host system, setup a workspace for data and models:
@@ -405,3 +415,6 @@ video with object detection and attributes recognition of a video using GStreame
.. code:: bash
./gst-video-analytics/samples/shell/console_measure_fps_cpu.sh $VIDEO_EXAMPLES_DIR/bolt-detection.mp4
**OpenVINO is a trademark of Intel Corporation or its subsidiaries.**