# 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 `__ 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 `__ 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 `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 `First steps with OpenVINO`_ ------------------------------- Brief tutorials that demonstrate how to use Python API for inference in OpenVINO. +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | Notebook | Description | Preview | +===============================================================================================================================+============================================================================================================================================+===========================================+ | `001-hello-world `__ |br| |n001| | Classify an image with OpenVINO. | |n001-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `002-openvino-api `__ |br| |n002| | Learn the OpenVINO Python API. | |n002-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `003-hello-segmentation `__ |br| |n003| | Semantic segmentation with OpenVINO. | |n003-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `004-hello-detection `__ |br| |n004| | Text detection with OpenVINO. | |n004-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ .. raw:: html `Convert & Optimize`_ ----------------------- Tutorials that explain how to optimize and quantize models with OpenVINO tools. +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | Notebook | Description | Preview | +===============================================================================================================================+============================================================================================================================================+===========================================+ | `101-tensorflow-to-openvino `__ |br| |n101| | Convert TensorFlow models to OpenVINO IR. | |n101-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `102-pytorch-onnx-to-openvino `__ | Convert PyTorch models to OpenVINO IR. | |n102-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `103-paddle-onnx-to-openvino `__ |br| |n103| | Convert PaddlePaddle models to OpenVINO IR. | |n103-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `104-model-tools `__ |br| |n104| | Download, convert and benchmark models from Open Model Zoo. | |n104-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ .. dropdown:: Explore more notebooks here. +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ | Notebook | Description | +==============================================================================================================================+==================================================================================================================================+ | `105-language-quantize-bert `__ | Optimize and quantize a pre-trained BERT model | +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ | `106-auto-device `__ | Demonstrates how to use AUTO Device | +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ | `107-speech-recognition-quantization `__ | Optimize and quantize a pre-trained Wav2Vec2 speech model | +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ | `110-ct-segmentation-quantize `__ | Quantize a kidney segmentation model and show live inference | +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ | `111-detection-quantization `__ |br| |n111| | Quantize an object detection model | +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ | `112-pytorch-post-training-quantization-nncf `__ | Use Neural Network Compression Framework (NNCF) to quantize PyTorch model in post-training mode (without model fine-tuning) | +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ | `113-image-classification-quantization `__ | Quantize mobilenet image classification | +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ | `114-quantization-simplified-mode `__ | Quantize Image Classification Models with POT in Simplified Mode | +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ | `115-async-api `__ | Use Asynchronous Execution to Improve Data Pipelining | +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ | `116-sparsity-optimization `__ | Improve performance of sparse Transformer models | +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ | `118-optimize-preprocessing `__ | Improve performance of image preprocessing step | +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ .. raw:: html `Model Demos`_ ---------------- Demos that demonstrate inference on a particular model. +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | Notebook | Description | Preview | +===============================================================================================================================+============================================================================================================================================+===========================================+ | `210-ct-scan-live-inference `__ |br| |n210| | Show live inference on segmentation of CT-scan data. | |n210-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `211-speech-to-text `__ |br| |n211| | Run inference on speech-to-text recognition model. | |n211-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `208-optical-character-recognition `__ | Annotate text on images using text recognition resnet. | |n208-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `209-handwritten-ocr `__ |br| |n209| | OCR for handwritten simplified Chinese and Japanese. | |n209-img1| |br| |chinese-text| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `218-vehicle-detection-and-recognition `__ | 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 `__ |br| |n201| | Monocular depth estimation with images and video. | |n201-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `202-vision-superresolution-image `__ |br| |n202i| | Upscale raw images with a super resolution model. | |n202i-img1| → |n202i-img2| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `202-vision-superresolution-video `__ |br| |n202v| | Turn 360p into 1080p video using a super resolution model. | |n202v-img1| → |n202v-img2| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `203-meter-reader `__ |br| |n203| | PaddlePaddle pre-trained models to read industrial meter's value | |n203-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `204-named-entity-recognition `__ |br| |n204| | Perform named entity recognition on simple text. | |n204-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `205-vision-background-removal `__ |br| |n205| | Remove and replace the background in an image using salient object detection. | |n205-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `206-vision-paddlegan-anime `__ |br| |n206| | Turn an image into anime using a GAN. | |n206-img1| → |n206-img2| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `207-vision-paddlegan-superresolution `__ |br| |n207| | Upscale small images with superresolution using a PaddleGAN model. | |n207-img1| → |n207-img2| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `212-onnx-style-transfer `__ |br| |n212| | Transform images to five different styles with neural style transfer. | |n212-img1| → |n212-img2| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `214-vision-paddle-classification `__ |br| |n214| | PaddlePaddle Image Classification with OpenVINO. | | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `215-image-inpainting `__ | Fill missing pixels with image in-painting. | |n215-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `216-license-plate-recognition `__ | Recognize Chinese license plates in traffic. | |n216-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `217-vision-deblur `__ |br| |n217| | Deblur Images with DeblurGAN-v2. | |n217-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `219-knowledge-graphs-conve `__ | Optimize the knowledge graph embeddings model (ConvE) with OpenVINO | | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `220-yolov5-accuracy-check-and-quantization `__ | Quantize the Ultralytics YOLOv5 model and check accuracy using the OpenVINO POT API | |n220-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `221-machine-translation `__ | Real-time translation from English to German | | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `222-vision-image-colorization `__ | Use pre-trained models to colorize black & white images using OpenVINO | |n222-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `223-gpt2-text-prediction `__ | Use GPT-2 to perform text prediction on an input sequence | |n223-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `224-3D-segmentation-point-clouds `__ | Process point cloud data and run 3D Part Segmentation with OpenVINO | |n224-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `225-stable-diffusion-text-to-image `__ | Text-to-image generation with Stable Diffusion method | |n225-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `226-yolov7-optimization `__ | Optimize YOLOv7 using NNCF PTQ API | |n226-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `227-whisper-subtitles-generation `__ | Generate subtitles for video with OpenAI Whisper and OpenVINO | |n227-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `228-clip-zero-shot-image-classification `__ | Perform Zero-shot Image Classification with CLIP and OpenVINO | |n228-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `229-distilbert-sequence-classification `__ | Sequence Classification with OpenVINO | |n229-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `230-yolov8-optimization `__ | Optimize YOLOv8 using NNCF PTQ API | |n230-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `231-instruct-pix2pix-image-editing `__ | Image editing with InstructPix2Pix | |n231-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `232-clip-language-saliency-map `__ | Language-Visual Saliency with CLIP and OpenVINO™ | |n232-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `233-blip-visual-language-processing `__ | Visual Question Answering and Image Captioning using BLIP and OpenVINO™ | |n233-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `234-encodec-audio-compression `__ | Audio compression with EnCodec and OpenVINO™ | |n234-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `235-controlnet-stable-diffusion `__ | A Text-to-Image Generation with ControlNet Conditioning and OpenVINO™ | |n235-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ .. raw:: html `Model Training`_ ------------------ Tutorials that include code to train neural networks. +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | Notebook | Description | Preview | +===============================================================================================================================+============================================================================================================================================+===========================================+ | `301-tensorflow-training-openvino `__ | Train a flower classification model from TensorFlow, then convert to OpenVINO IR. | |n301-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `301-tensorflow-training-openvino-pot `__ | Use Post-training Optimization Tool (POT) to quantize the flowers model. | | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `302-pytorch-quantization-aware-training `__ | Use Neural Network Compression Framework (NNCF) to quantize PyTorch model. | | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `305-tensorflow-quantization-aware-training `__ | Use Neural Network Compression Framework (NNCF) to quantize TensorFlow model. | | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ .. raw:: html `Live Demos`_ --------------- Live inference demos that run on a webcam or video files. +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | Notebook | Description | Preview | +===============================================================================================================================+============================================================================================================================================+===========================================+ | `401-object-detection-webcam `__ |br| |n401| | Object detection with a webcam or video file. | |n401-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `402-pose-estimation-webcam `__ |br| |n402| | Human pose estimation with a webcam or video file. | |n402-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `403-action-recognition-webcam `__ |br| |n403| | Human action recognition with a webcam or video file. | |n403-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `404-style-transfer-webcam `__ |br| |n404| | Style Transfer with a webcam or video file | |n404-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `405-paddle-ocr-webcam `__ |br| |n405| | OCR with a webcam or video file | |n405-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `406-3D-pose-estimation-webcam `__ |br| |n406| | 3D display of human pose estimation with a webcam or video file | |n406-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `407-person-tracking-webcam `__ |br| |n407| | Person tracking with a webcam or video file | |n407-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ .. raw:: html `Recommended Tutorials`_ -------------------------- The following tutorials are guaranteed to provide a great experience with inference in OpenVINO: +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | Notebook | | Preview | +===============================================================================================================================+============================================================================================================================================+===========================================+ | `Vision-monodepth `__ |br| |n201| | Monocular depth estimation with images and video. | |n201-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `CT-scan-live-inference `__ |br| |n210| | Show live inference on segmentation of CT-scan data. | |n210-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `Object-detection-webcam `__ |br| |n401| | Object detection with a webcam or video file. | |n401-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `Pose-estimation-webcam `__ |br| |n402| | Human pose estimation with a webcam or video file. | |n402-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `Action-recognition-webcam `__ |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 `__ or start a GitHub `discussion `__. .. raw:: html `Additional Resources`_ ------------------------- * `OpenVINO™ Notebooks - Github Repository `_ * `Binder documentation `_ .. raw:: html `Contributors`_ -------------------------- |contributors| Made with `contributors-img `__. .. |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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