# 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
   :target: https://user-images.githubusercontent.com/36741649/127170593-86976dc3-e5e4-40be-b0a6-206379cd7df5.jpg
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   :target: https://user-images.githubusercontent.com/15709723/128290691-e2eb875c-775e-4f4d-a2f4-15134044b4bb.png
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   :target: https://user-images.githubusercontent.com/36741649/128489933-bf215a3f-06fa-4918-8833-cb0bf9fb1cc7.jpg
.. |n101-img1| image:: https://user-images.githubusercontent.com/15709723/127779167-9d33dcc6-9001-4d74-a089-8248310092fe.png
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.. |n102-img1| image:: https://user-images.githubusercontent.com/15709723/127779246-32e7392b-2d72-4a7d-b871-e79e7bfdd2e9.png
   :target: https://user-images.githubusercontent.com/15709723/127779246-32e7392b-2d72-4a7d-b871-e79e7bfdd2e9.png
.. |n103-img1| image:: https://user-images.githubusercontent.com/15709723/127779326-dc14653f-a960-4877-b529-86908a6f2a61.png
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.. |n104-img1| image:: https://user-images.githubusercontent.com/10940214/157541917-c5455105-b0d9-4adf-91a7-fbc142918015.png
   :target: https://user-images.githubusercontent.com/10940214/157541917-c5455105-b0d9-4adf-91a7-fbc142918015.png
.. |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
.. |n211-img1| image:: https://user-images.githubusercontent.com/36741649/140987347-279de058-55d7-4772-b013-0f2b12deaa61.png
   :target: https://user-images.githubusercontent.com/36741649/140987347-279de058-55d7-4772-b013-0f2b12deaa61.png
.. |n213-img1| image:: https://user-images.githubusercontent.com/4547501/152571639-ace628b2-e3d2-433e-8c28-9a5546d76a86.gif
   :target: https://user-images.githubusercontent.com/4547501/152571639-ace628b2-e3d2-433e-8c28-9a5546d76a86.gif
.. |n208-img1| image:: https://user-images.githubusercontent.com/36741649/129315292-a37266dc-dfb2-4749-bca5-2ac9c1e93d64.jpg
   :target: https://user-images.githubusercontent.com/36741649/129315292-a37266dc-dfb2-4749-bca5-2ac9c1e93d64.jpg
.. |n209-img1| image:: https://user-images.githubusercontent.com/36741649/132660640-da2211ec-c389-450e-8980-32a75ed14abb.png
   :target: https://user-images.githubusercontent.com/36741649/132660640-da2211ec-c389-450e-8980-32a75ed14abb.png
.. |n201-img1| image:: https://user-images.githubusercontent.com/15709723/127752390-f6aa371f-31b5-4846-84b9-18dd4f662406.gif
   :target: https://user-images.githubusercontent.com/15709723/127752390-f6aa371f-31b5-4846-84b9-18dd4f662406.gif
.. |n202i-img1| image:: https://user-images.githubusercontent.com/36741649/170005347-e4409f9e-ec34-416b-afdf-a9d8185929ca.jpg
   :width: 70
   :target: https://user-images.githubusercontent.com/36741649/170005347-e4409f9e-ec34-416b-afdf-a9d8185929ca.jpg
.. |n202i-img2| image:: https://user-images.githubusercontent.com/36741649/170005347-e4409f9e-ec34-416b-afdf-a9d8185929ca.jpg
   :width: 130
   :target: https://user-images.githubusercontent.com/36741649/170005347-e4409f9e-ec34-416b-afdf-a9d8185929ca.jpg
.. |n202v-img1| image:: https://user-images.githubusercontent.com/15709723/127269258-a8e2c03e-731e-4317-b5b2-ed2ee767ff5e.gif
   :target: https://user-images.githubusercontent.com/15709723/127269258-a8e2c03e-731e-4317-b5b2-ed2ee767ff5e.gif
   :width: 80
.. |n202v-img2| image:: https://user-images.githubusercontent.com/15709723/127269258-a8e2c03e-731e-4317-b5b2-ed2ee767ff5e.gif
   :width: 125
   :target: https://user-images.githubusercontent.com/15709723/127269258-a8e2c03e-731e-4317-b5b2-ed2ee767ff5e.gif
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@endsphinxdirective