Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

[DOCS] technical adjustments for the build 24.4 #26934

Merged
merged 1 commit into from
Oct 7, 2024
Merged

[DOCS] technical adjustments for the build 24.4 #26934

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion CONTRIBUTING.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -52,7 +52,7 @@ product better.
Since the market of computing devices is constantly evolving, OpenVINO is always open to extending
its support for new hardware. If you want to run inference on a device that is currently not supported,
you can see how to develop a new plugin for it in the
[Plugin Developer Guide](https://docs.openvino.ai/canonical/openvino_docs_ie_plugin_dg_overview.html).
[Plugin Developer Guide](https://docs.openvino.ai/2024/documentation/openvino-extensibility/openvino-plugin-library.html).


### Improve documentation
Expand Down
42 changes: 26 additions & 16 deletions docs/articles_en/get-started/install-openvino/install-openvino-pip.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -16,18 +16,6 @@ Install Intel® Distribution of OpenVINO™ Toolkit from PyPI Repository
(all x86_64 / arm64 architectures)
* macOS offers support only for CPU inference

| **Simplified Build and Integration**
| The package includes CMake configurations, precompiled static libraries, and headers, which
can be easily accessed through the Python API. You can use the `get_cmake_path()` method to
retrieve the paths to the CMake configurations and libraries:

.. code-block:: python

from openvino import get_cmake_path
cmake_path = get_cmake_path()

For detailed instructions on how to use these configurations in your build setup, check out the
:ref:`Create a library with extensions <create_a_library_with_extensions>` section.

.. tab-set::

Expand All @@ -42,10 +30,13 @@ For detailed instructions on how to use these configurations in your build setup
.. tab-item:: Processor Notes
:sync: processor-notes

| To see if your processor includes the integrated graphics technology and supports iGPU inference, refer to:
| To see if your processor includes the integrated graphics technology and supports iGPU
inference, refer to:
| `Product Specifications <https://ark.intel.com/>`__




Installing OpenVINO Runtime
###########################

Expand Down Expand Up @@ -136,21 +127,40 @@ to see if your case needs any of them.



| **Simplified Build and Integration**
| The package includes CMake configurations, precompiled static libraries, and headers, which
can be easily accessed through the Python API. You can use the `get_cmake_path()` method to
retrieve the paths to the CMake configurations and libraries:

.. code-block:: python

from openvino import get_cmake_path
cmake_path = get_cmake_path()

For detailed instructions on how to use these configurations in your build setup, check out the
:ref:`Create a library with extensions <create_a_library_with_extensions>` section.


What's Next?
####################

Now that you've installed OpenVINO Runtime, you're ready to run your own machine learning applications! Learn more about how to integrate a model in OpenVINO applications by trying out the following tutorials.
Now that you've installed OpenVINO Runtime, you're ready to run your own machine learning
applications! Learn more about how to integrate a model in OpenVINO applications by trying out
the following tutorials.

.. image:: https://user-images.githubusercontent.com/15709723/127752390-f6aa371f-31b5-4846-84b9-18dd4f662406.gif
:width: 400

Try the `Python Quick Start Example <https://docs.openvino.ai/2024/notebooks/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/2024/notebooks/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 :doc:`Tutorials <../../../learn-openvino/interactive-tutorials-python>` page for more Jupyter Notebooks to get you started with OpenVINO, such as:
Visit the :doc:`Tutorials <../../../learn-openvino/interactive-tutorials-python>` page for more
Jupyter Notebooks to get you started with OpenVINO, such as:

* `OpenVINO Python API Tutorial <https://docs.openvino.ai/2024/notebooks/openvino-api-with-output.html>`__
* `Basic image classification program with Hello Image Classification <https://docs.openvino.ai/2024/notebooks/hello-world-with-output.html>`__
Expand Down
2 changes: 1 addition & 1 deletion docs/sphinx_setup/conf.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -55,7 +55,7 @@
'.md': 'markdown',
}

html_baseurl = 'https://docs.openvino.ai/canonical/'
# html_baseurl = 'https://docs.openvino.ai/2024/'

# -- Sitemap configuration ---------------------------------------------------

Expand Down
Loading