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adding new tutorials (#15027)

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Sebastian Golebiewski 2023-01-10 17:15:22 +01:00 committed by GitHub
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10
docs/nbdoc/consts.py
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@ -8,7 +8,7 @@ repo_owner = "openvinotoolkit"
repo_name = "openvino_notebooks"
artifacts_link = "http://repository.toolbox.iotg.sclab.intel.com/projects/ov-notebook/0.1.0-latest/20230104220806/dist/rst_files/"
artifacts_link = "http://repository.toolbox.iotg.sclab.intel.com/projects/ov-notebook/0.1.0-latest/20230109220810/dist/rst_files/"
blacklisted_extensions = ['.xml', '.bin']
@ -18,8 +18,8 @@ section_names = ["Getting Started", "Convert & Optimize",
# Templates
binder_template = """
This tutorial is also available as a Jupyter notebook that can be cloned directly from GitHub.
See the |installation_link| for instructions to run this tutorial locally on Windows, Linux or macOS.
This tutorial is also available as a Jupyter notebook that can be cloned directly from GitHub.
See the |installation_link| for instructions to run this tutorial locally on Windows, Linux or macOS.
To run without installing anything, click the launch binder button.
|binder_link| |github_link|
@ -28,7 +28,7 @@ To run without installing anything, click the launch binder button.
<a href="https://github.com/{{ owner }}/{{ repo }}#-installation-guide" target="_blank">installation guide</a>
.. |binder_link| raw:: html
.. |binder_link| raw:: html
<a href="https://mybinder.org/v2/gh/{{ owner }}/{{ repo }}/HEAD?filepath={{ folder }}%2F{{ notebook }}%2F{{ notebook }}.ipynb" target="_blank"><img src="https://mybinder.org/badge_logo.svg" alt="Binder"></a>
@ -39,7 +39,7 @@ To run without installing anything, click the launch binder button.
\n
"""
no_binder_template = """
This tutorial is also available as a Jupyter notebook that can be cloned directly from GitHub.
This tutorial is also available as a Jupyter notebook that can be cloned directly from GitHub.
See the |installation_link| for instructions to run this tutorial locally on Windows, Linux or macOS.
|github_link|

38
docs/tutorials.md
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@ -5,13 +5,13 @@
.. _notebook tutorials:
.. meta::
:description: A collection of Python tutorials run on Jupyter notebooks. The
tutorials explain how to use OpenVINO™ toolkit for optimized
:description: A collection of Python tutorials run on Jupyter notebooks. The
tutorials explain how to use OpenVINO™ toolkit for optimized
deep learning inference.
:keywords: OpenVINO™ toolkit, Jupyter, Jupyter notebooks, tutorials, Python
API, Python, deep learning, inference, model inference, infer a
model, Binder, object detection, quantization, image
classification, speech recognition, OCR, OpenVINO IR, deep
:keywords: OpenVINO™ toolkit, Jupyter, Jupyter notebooks, tutorials, Python
API, Python, deep learning, inference, model inference, infer a
model, Binder, object detection, quantization, image
classification, speech recognition, OCR, OpenVINO IR, deep
learning model, AI, neural networks
.. toctree::
@ -22,21 +22,21 @@
notebooks-installation
notebooks/notebooks
This collection of Python tutorials are written for running on Jupyter notebooks.
The tutorials provide an introduction to the OpenVINO™ toolkit and explain how to
use the Python API and tools for optimized deep learning inference. You can run the
code one section at a time to see how to integrate your application with OpenVINO
This collection of Python tutorials are written for running on Jupyter notebooks.
The tutorials provide an introduction to the OpenVINO™ toolkit and explain how to
use the Python API and tools for optimized deep learning inference. You can run the
code one section at a time to see how to integrate your application with OpenVINO
libraries.
Notebooks with a |binder logo| button can be run without installing anything.
Once you have found the tutorial of your interest, just click the button next to
Notebooks with a |binder logo| button can be run without installing anything.
Once you have found the tutorial of your interest, just click the button next to
the name of it and `Binder <https://mybinder.org/>`__ will start it in a new tab of a browser.
Binder is a free online service with limited resources (for more information about it,
see the `Additional Resources <#-additional-resources>`__ section).
.. note::
For the best performance, more control and resources, you should run the notebooks locally.
Follow the `Installation Guide <notebooks-installation.html>`__ in order to get information
For the best performance, more control and resources, you should run the notebooks locally.
Follow the `Installation Guide <notebooks-installation.html>`__ in order to get information
on how to run and manage the notebooks on your machine.
@ -118,7 +118,7 @@ Tutorials that explain how to optimize and quantize models with OpenVINO tools.
| `105-language-quantize-bert <notebooks/105-language-quantize-bert-with-output.html>`__ | Optimize and quantize a pre-trained BERT model |
+------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| `106-auto-device <notebooks/106-auto-device-with-output.html>`__ | Demonstrates how to use AUTO Device |
+------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
+------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| `107-speech-recognition-quantization <notebooks/107-speech-recognition-quantization-with-output.html>`__ | Optimize and quantize a pre-trained Wav2Vec2 speech model |
+------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| `110-ct-segmentation-quantize <notebooks/110-ct-segmentation-quantize-with-output.html>`__ | Quantize a kidney segmentation model and show live inference |
@ -210,6 +210,9 @@ Demos that demonstrate inference on a particular model.
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `228-clip-zero-shot-image-classification <notebooks/228-clip-zero-shot-image-classification-with-output.html>`__ | Perform Zero-shot Image Classification with CLIP and OpenVINO | |n228-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `229-distilbert-sequence-classification <notebooks/229-distilbert-sequence-classification-with-output.html>`__ | Sequence Classification with OpenVINO | |n229-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
.. raw:: html
@ -219,7 +222,7 @@ Demos that demonstrate inference on a particular model.
`Model Training`_
------------------
Tutorials that include code to train neural networks.
Tutorials that include code to train neural networks.
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
@ -409,6 +412,8 @@ Made with `contributors-img <https://contrib.rocks>`__.
:target: https://user-images.githubusercontent.com/29454499/204548693-1304ef33-c790-490d-8a8b-d5766acb6254.png
.. |n228-img1| image:: https://user-images.githubusercontent.com/29454499/207795060-437b42f9-e801-4332-a91f-cc26471e5ba2.png
:target: https://user-images.githubusercontent.com/29454499/207795060-437b42f9-e801-4332-a91f-cc26471e5ba2.png
.. |n229-img1| image:: https://user-images.githubusercontent.com/95271966/206130638-d9847414-357a-4c79-9ca7-76f4ae5a6d7f.png
:target: https://user-images.githubusercontent.com/95271966/206130638-d9847414-357a-4c79-9ca7-76f4ae5a6d7f.png
.. |n301-img1| image:: https://user-images.githubusercontent.com/15709723/127779607-8fa34947-1c35-4260-8d04-981c41a2a2cc.png
:target: https://user-images.githubusercontent.com/15709723/127779607-8fa34947-1c35-4260-8d04-981c41a2a2cc.png
.. |n401-img1| image:: https://user-images.githubusercontent.com/4547501/141471665-82b28c86-cf64-4bfe-98b3-c314658f2d96.gif
@ -497,4 +502,3 @@ Made with `contributors-img <https://contrib.rocks>`__.
@endsphinxdirective