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openvino/docs/tutorials.md
Karol Blaszczak 2f95de3239 DOCS-menu-recreate-structure-step5 (#14636) 
port https://github.com/openvinotoolkit/openvino/pull/14637
Shift to separating the Workflow section, including moving Run and Optimize inference inside Deploy locally

change several article and menu titles
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remove optimization introduction (may be brought back in parts later)
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# Interactive Tutorials (Python) {#tutorials}
@sphinxdirective
.. _notebook tutorials:
.. meta::
: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
learning model, AI, neural networks
.. toctree::
:maxdepth: 2
:caption: Notebooks
:hidden:
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
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
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
on how to run and manage the notebooks on your machine.
--------------------
**Contents:**
- `Getting Started <#-getting-started>`__
- `First steps with OpenVINO <#-first-steps>`__
- `Convert & Optimize <#-convert--optimize>`__
- `Model Demos <#-model-demos>`__
- `Model Training <#-model-training>`__
- `Live Demos <#-live-demos>`__
- `Recommended Tutorials <#-recommended-tutorials>`__
- `Additional Resources <#-additional-resources>`__
- `Contributors <#-contributors>`__
--------------------
.. raw:: html
<a name='-getting-started' id='-getting-started'/>
`Getting Started`_
==================
The Jupyter notebooks are categorized into four classes, select one
related to your needs or give them all a try. Good Luck!
.. raw:: html
<a name='-first-steps' id='-first-steps' />
`First steps with OpenVINO`_
-------------------------------
Brief tutorials that demonstrate how to use Python API for inference in OpenVINO.
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| Notebook | Description | Preview |
+===============================================================================================================================+============================================================================================================================================+===========================================+
| `001-hello-world <notebooks/001-hello-world-with-output.html>`__ |br| |n001| | Classify an image with OpenVINO. | |n001-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `002-openvino-api <notebooks/002-openvino-api-with-output.html>`__ |br| |n002| | Learn the OpenVINO Python API. | |n002-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `003-hello-segmentation <notebooks/003-hello-segmentation-with-output.html>`__ |br| |n003| | Semantic segmentation with OpenVINO. | |n003-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `004-hello-detection <notebooks/004-hello-detection-with-output.html>`__ |br| |n004| | Text detection with OpenVINO. | |n004-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
.. raw:: html
<a name='-convert--optimize' id='-convert--optimize'/>
`Convert & Optimize`_
-----------------------
Tutorials that explain how to optimize and quantize models with OpenVINO tools.
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| Notebook | Description | Preview |
+===============================================================================================================================+============================================================================================================================================+===========================================+
| `101-tensorflow-to-openvino <notebooks/101-tensorflow-to-openvino-with-output.html>`__ |br| |n101| | Convert TensorFlow models to OpenVINO IR. | |n101-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `102-pytorch-onnx-to-openvino <notebooks/102-pytorch-onnx-to-openvino-with-output.html>`__ | Convert PyTorch models to OpenVINO IR. | |n102-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `103-paddle-onnx-to-openvino <notebooks/103-paddle-onnx-to-openvino-classification-with-output.html>`__ |br| |n103| | Convert PaddlePaddle models to OpenVINO IR. | |n103-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `104-model-tools <notebooks/104-model-tools-with-output.html>`__ |br| |n104| | Download, convert and benchmark models from Open Model Zoo. | |n104-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
.. dropdown:: Explore more notebooks here.
+------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| Notebook | Description |
+==============================================================================================================================+==================================================================================================================================+
| `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 |
+------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| `111-detection-quantization <notebooks/111-detection-quantization-with-output.html>`__ |br| |n111| | Quantize an object detection model |
+------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| `112-pytorch-post-training-quantization-nncf <notebooks/112-pytorch-post-training-quantization-nncf-with-output.html>`__ | Use Neural Network Compression Framework (NNCF) to quantize PyTorch model in post-training mode (without model fine-tuning) |
+------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| `113-image-classification-quantization <notebooks/113-image-classification-quantization-with-output.html>`__ | Quantize mobilenet image classification |
+------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| `114-quantization-simplified-mode <notebooks/114-quantization-simplified-mode-with-output.html>`__ | Quantize Image Classification Models with POT in Simplified Mode |
+------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| `115-async-api <notebooks/115-async-api-with-output.html>`__ | Use Asynchronous Execution to Improve Data Pipelining |
+------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
.. raw:: html
<a name='-model-demos' id='-model-demos'/>
`Model Demos`_
----------------
Demos that demonstrate inference on a particular model.
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| Notebook | Description | Preview |
+===============================================================================================================================+============================================================================================================================================+===========================================+
| `210-ct-scan-live-inference <notebooks/210-ct-scan-live-inference-with-output.html>`__ |br| |n210| | Show live inference on segmentation of CT-scan data. | |n210-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `211-speech-to-text <notebooks/211-speech-to-text-with-output.html>`__ |br| |n211| | Run inference on speech-to-text recognition model. | |n211-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `208-optical-character-recognition <notebooks/208-optical-character-recognition-with-output.html>`__ | Annotate text on images using text recognition resnet. | |n208-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `209-handwritten-ocr <notebooks/209-handwritten-ocr-with-output.html>`__ |br| |n209| | OCR for handwritten simplified Chinese and Japanese. | |n209-img1| |br| |chinese-text| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `218-vehicle-detection-and-recognition <notebooks/218-vehicle-detection-and-recognition-with-output.html>`__ | Use pre-trained models to detect and recognize vehicles and their attributes with OpenVINO. | |n218-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
.. dropdown:: Explore more notebooks below.
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| Notebook | Description | Preview |
+===============================================================================================================================+============================================================================================================================================+===========================================+
| `201-vision-monodepth <notebooks/201-vision-monodepth-with-output.html>`__ |br| |n201| | Monocular depth estimation with images and video. | |n201-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `202-vision-superresolution-image <notebooks/202-vision-superresolution-image-with-output.html>`__ |br| |n202i| | Upscale raw images with a super resolution model. | |n202i-img1| → |n202i-img2| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `202-vision-superresolution-video <notebooks/202-vision-superresolution-video-with-output.html>`__ |br| |n202v| | Turn 360p into 1080p video using a super resolution model. | |n202v-img1| → |n202v-img2| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `203-meter-reader <notebooks/203-meter-reader-with-output.html>`__ |br| |n203| | PaddlePaddle pre-trained models to read industrial meter's value | |n203-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `204-named-entity-recognition <notebooks/204-named-entity-recognition-with-output.html>`__ |br| |n204| | Perform named entity recognition on simple text. | |n204-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `205-vision-background-removal <notebooks/205-vision-background-removal-with-output.html>`__ |br| |n205| | Remove and replace the background in an image using salient object detection. | |n205-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `206-vision-paddlegan-anime <notebooks/206-vision-paddlegan-anime-with-output.html>`__ |br| |n206| | Turn an image into anime using a GAN. | |n206-img1| → |n206-img2| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `207-vision-paddlegan-superresolution <notebooks/207-vision-paddlegan-superresolution-with-output.html>`__ |br| |n207| | Upscale small images with superresolution using a PaddleGAN model. | |n207-img1| → |n207-img2| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `212-onnx-style-transfer <notebooks/212-onnx-style-transfer-with-output.html>`__ |br| |n212| | Transform images to five different styles with neural style transfer. | |n212-img1| → |n212-img2| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `214-vision-paddle-classification <notebooks/214-vision-paddle-classification-with-output.html>`__ |br| |n214| | PaddlePaddle Image Classification with OpenVINO. | |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `215-image-inpainting <notebooks/215-image-inpainting-with-output.html>`__ | Fill missing pixels with image in-painting. | |n215-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `216-license-plate-recognition <notebooks/216-license-plate-recognition-with-output.html>`__ | Recognize Chinese license plates in traffic. | |n216-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `217-vision-deblur <notebooks/217-vision-deblur-with-output.html>`__ |br| |n217| | Deblur Images with DeblurGAN-v2. | |n217-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `219-knowledge-graphs-conve <notebooks/219-knowledge-graphs-conve-with-output.html>`__ | Optimize the knowledge graph embeddings model (ConvE) with OpenVINO | |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `220-yolov5-accuracy-check-and-quantization <notebooks/220-yolov5-accuracy-check-and-quantization-with-output.html>`__ | Quantize the Ultralytics YOLOv5 model and check accuracy using the OpenVINO POT API | |n220-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `221-machine-translation <notebooks/221-machine-translation-with-output.html>`__ | Real-time translation from English to German | |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `222-vision-image-colorization <notebooks/222-vision-image-colorization-with-output.html>`__ | Use pre-trained models to colorize black & white images using OpenVINO | |n222-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `223-gpt2-text-prediction <notebooks/223-gpt2-text-prediction-with-output.html>`__ | Use GPT-2 to perform text prediction on an input sequence | |n223-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
.. raw:: html
<a name='-model-training' id='-model-training' />
`Model Training`_
------------------
Tutorials that include code to train neural networks.
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| Notebook | Description | Preview |
+===============================================================================================================================+============================================================================================================================================+===========================================+
| `301-tensorflow-training-openvino <notebooks/301-tensorflow-training-openvino-with-output.html>`__ | Train a flower classification model from TensorFlow, then convert to OpenVINO IR. | |n301-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `301-tensorflow-training-openvino-pot <notebooks/301-tensorflow-training-openvino-pot-with-output.html>`__ | Use Post-training Optimization Tool (POT) to quantize the flowers model. | |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `302-pytorch-quantization-aware-training <notebooks/302-pytorch-quantization-aware-training-with-output.html>`__ | Use Neural Network Compression Framework (NNCF) to quantize PyTorch model. | |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `305-tensorflow-quantization-aware-training <notebooks/305-tensorflow-quantization-aware-training-with-output.html>`__ | Use Neural Network Compression Framework (NNCF) to quantize TensorFlow model. | |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
.. raw:: html
<a name='-live-demos' id='-live-demos' />
`Live Demos`_
---------------
Live inference demos that run on a webcam or video files.
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| Notebook | Description | Preview |
+===============================================================================================================================+============================================================================================================================================+===========================================+
| `401-object-detection-webcam <notebooks/401-object-detection-with-output.html>`__ |br| |n401| | Object detection with a webcam or video file. | |n401-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `402-pose-estimation-webcam <notebooks/402-pose-estimation-with-output.html>`__ |br| |n402| | Human pose estimation with a webcam or video file. | |n402-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `403-action-recognition-webcam <notebooks/403-action-recognition-webcam-with-output.html>`__ |br| |n403| | Human action recognition with a webcam or video file. | |n403-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `405-paddle-ocr-webcam <notebooks/405-paddle-ocr-webcam-with-output.html>`__ |br| |n405| | OCR with a webcam or video file | |n405-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
.. raw:: html
<a name='-recommended-tutorials' id='-recommended-tutorials'/>
`Recommended Tutorials`_
--------------------------
The following tutorials are guaranteed to provide a great experience with inference in OpenVINO:
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| Notebook | | Preview |
+===============================================================================================================================+============================================================================================================================================+===========================================+
| `Vision-monodepth <notebooks/201-vision-monodepth-with-output.html>`__ |br| |n201| | Monocular depth estimation with images and video. | |n201-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `CT-scan-live-inference <notebooks/210-ct-scan-live-inference-with-output.html>`__ |br| |n210| | Show live inference on segmentation of CT-scan data. | |n210-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `Object-detection-webcam <notebooks/401-object-detection-with-output.html>`__ |br| |n401| | Object detection with a webcam or video file. | |n401-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `Pose-estimation-webcam <notebooks/402-pose-estimation-with-output>`__ |br| |n402| | Human pose estimation with a webcam or video file. | |n402-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `Action-recognition-webcam <notebooks/403-action-recognition-webcam-with-output.html>`__ |br| |n403| | Human action recognition with a webcam or video file. | |n403-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
-------------------
.. note::
If there are any issues while running the notebooks, refer to the **Troubleshooting** and **FAQ** sections in the `Installation Guide <notebooks-installation.html>`__ or start a GitHub
`discussion <https://github.com/openvinotoolkit/openvino_notebooks/discussions>`__.
.. raw:: html
<a name='-additional-resources' id='-additional-resources'/>
`Additional Resources`_
-------------------------
* `OpenVINO™ Notebooks - Github Repository <https://github.com/openvinotoolkit/openvino_notebooks/blob/main/README.md>`_
* `Binder documentation <https://mybinder.readthedocs.io/en/latest/>`_
.. raw:: html
<a name='-contributors' id='-contributors' />
`Contributors`_
--------------------------
|contributors|
Made with `contributors-img <https://contrib.rocks>`__.
.. |br| raw:: html
<br />
.. |chinese-text| raw:: html
<span style="font-size:10px">的人不一了是他有为在责新中任自之我们</span>
.. |contributors| image:: https://contrib.rocks/image?repo=openvinotoolkit/openvino_notebooks
:target: https://github.com/openvinotoolkit/openvino_notebooks/graphs/contributors
.. |n001-img1| image:: https://user-images.githubusercontent.com/36741649/127170593-86976dc3-e5e4-40be-b0a6-206379cd7df5.jpg
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:target: https://user-images.githubusercontent.com/15709723/127779246-32e7392b-2d72-4a7d-b871-e79e7bfdd2e9.png
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.. |n210-img1| image:: https://user-images.githubusercontent.com/15709723/134784204-cf8f7800-b84c-47f5-a1d8-25a9afab88f8.gif
:target: https://user-images.githubusercontent.com/15709723/134784204-cf8f7800-b84c-47f5-a1d8-25a9afab88f8.gif
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:width: 70
:target: https://github.com/openvinotoolkit/openvino_notebooks/raw/main/notebooks/202-vision-superresolution/data/tower.jpg
.. |n202i-img2| image:: https://github.com/openvinotoolkit/openvino_notebooks/raw/main/notebooks/202-vision-superresolution/data/tower.jpg
:width: 130
:target: https://github.com/openvinotoolkit/openvino_notebooks/raw/main/notebooks/202-vision-superresolution/data/tower.jpg
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:width: 80
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:width: 125
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@endsphinxdirective
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