60 KiB
Interactive Tutorials (Python)
@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>__
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Getting Started_
The Jupyter notebooks are categorized into four classes, select one related to your needs or give them all a try. Good Luck!
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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| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
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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 |
+------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
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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| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
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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. | |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
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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| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
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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>__.
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Additional Resources_
OpenVINO™ Notebooks - Github Repository <https://github.com/openvinotoolkit/openvino_notebooks/blob/main/README.md>_Binder documentation <https://mybinder.readthedocs.io/en/latest/>_
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Contributors_
|contributors|
Made with contributors-img <https://contrib.rocks>__.
.. |br| raw:: html
.. |chinese-text| raw:: html
的人不一了是他有为在责新中任自之我们
.. |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 .. |n002-img1| image:: https://user-images.githubusercontent.com/15709723/127787560-d8ec4d92-b4a0-411f-84aa-007e90faba98.png :target: https://user-images.githubusercontent.com/15709723/127787560-d8ec4d92-b4a0-411f-84aa-007e90faba98.png .. |n003-img1| image:: https://user-images.githubusercontent.com/15709723/128290691-e2eb875c-775e-4f4d-a2f4-15134044b4bb.png :target: https://user-images.githubusercontent.com/15709723/128290691-e2eb875c-775e-4f4d-a2f4-15134044b4bb.png .. |n004-img1| image:: 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