IntenseWebs/openvino
3
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity
Files
8aec4901283fe6f3735ab01cc9c0f07542d47a93
openvino/docs/tutorials.md
Sebastian Golebiewski 8aec490128 add-253 (#19500)
2023-08-30 13:46:27 +02:00

711 lines
117 KiB
Markdown
Raw Blame History

# Interactive Tutorials (Python) {#tutorials}
@sphinxdirective
.. _notebook tutorials:
.. meta::
:description: Run Python tutorials on Jupyter notebooks to learn how to use OpenVINO™ toolkit for optimized
deep learning inference.
.. 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 |binder logo| and |colab logo| buttons 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 the Jupyter notebook will start it in a new tab of a browser.
.. note::
`Binder <https://mybinder.org/>`__ and `Google Colab <https://colab.research.google.com/>`__
are free online services with limited resources. For the best performance
and more control, you should run the notebooks locally. Follow the
:doc:`Installation Guide <notebooks_installation>` 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-with-openvino>`__
- `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>`__
Getting Started
==================
The Jupyter notebooks are categorized into four classes, select one
related to your needs or give them all a try. Good Luck!
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| |br| |c002| | 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| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
Convert & Optimize
--------------------
Tutorials that explain how to optimize and quantize models with OpenVINO tools.
+------------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| Notebook | Description | Preview |
+====================================================================================================================================+============================================================================================================================================+===========================================+
| `101-tensorflow-classification-to-openvino <notebooks/101-tensorflow-classification-to-openvino-with-output.html>`__ |br| |n101| | Convert TensorFlow models to OpenVINO IR. | |n101-img1| |
+------------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `102-pytorch-to-openvino <notebooks/102-pytorch-to-openvino-with-output.html>`__ |br| |c102| | Convert PyTorch models to OpenVINO IR. | |n102-img1| |
+------------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `103-paddle-onnx-to-openvino <notebooks/103-paddle-to-openvino-classification-with-output.html>`__ |br| |n103| | Convert PaddlePaddle models to OpenVINO IR. | |n103-img1| |
+------------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `121-convert-to-openvino <notebooks/121-convert-to-openvino-with-output.html>`__ |br| |n121| |br| |c121| | Learn OpenVINO model conversion API | |
+------------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
.. dropdown:: Explore more notebooks here.
+----------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| Notebook | Description |
+====================================================================================================================================================+==================================================================================================================================+
| `102-pytorch-onnx-to-openvino <notebooks/102-pytorch-onnx-to-openvino-with-output.html>`__ | Convert PyTorch models to OpenVINO IR. |
+----------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| `104-model-tools <notebooks/104-model-tools-with-output.html>`__ |br| |n104| | Download, convert and benchmark models from Open Model Zoo. |
+----------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| `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>`__ |br| |n106| | Demonstrates how to use AUTO Device. |
+----------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| `107-speech-recognition-quantization <notebooks/107-speech-recognition-quantization-data2vec-with-output.html>`__ |br| |c107| | Optimize and quantize a pre-trained Data2Vec speech model. |
+----------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| `109-latency-tricks <notebooks/109-latency-tricks-with-output.html>`__ | Performance tricks for latency mode in OpenVINO™. |
+----------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| `109-throughput-tricks <notebooks/109-throughput-tricks-with-output.html>`__ | Performance tricks for throughput mode in OpenVINO™. |
+----------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| `110-ct-segmentation-quantize <notebooks/110-ct-scan-live-inference-with-output.html>`__ |br| |n110| | Live inference of a kidney segmentation model and benchmark CT-scan data with OpenVINO. |
+----------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| `110-ct-segmentation-quantize <notebooks/110-ct-segmentation-quantize-nncf-with-output.html>`__ | Quantize a kidney segmentation model and show live inference. |
+----------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| `111-yolov5-quantization-migration <notebooks/111-yolov5-quantization-migration-with-output.html>`__ |br| |c111| | Migrate YOLOv5 POT API based quantization pipeline on Neural Network Compression Framework (NNCF). |
+----------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| `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>`__ |br| |n113| | Quantize MobileNet image classification. |
+----------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| `115-async-api <notebooks/115-async-api-with-output.html>`__ |br| |n115| |br| |c115| | Use asynchronous execution to improve data pipelining. |
+----------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| `116-sparsity-optimization <notebooks/116-sparsity-optimization-with-output.html>`__ |br| |c116| | Improve performance of sparse Transformer models. |
+----------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| `117-model-server <notebooks/117-model-server-with-output.html>`__ | Improve performance of sparse Transformer models. |
+----------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| `118-optimize-preprocessing <notebooks/118-optimize-preprocessing-with-output.html>`__ | Improve performance of image preprocessing step. |
+----------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| `119-tflite-to-openvino <notebooks/119-tflite-to-openvino-with-output.html>`__ |br| |c119| | Convert TensorFlow Lite models to OpenVINO IR. |
+----------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
| `120-tensorflow-object-detection-to-openvino <notebooks/120-tensorflow-object-detection-to-openvino-with-output.html>`__ |br| |n120| |br| |c120| | Convert TensorFlow Object Detection models to OpenVINO IR |
+----------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+
Model Demos
--------------------
Demos that demonstrate inference on a particular model.
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| Notebook | Description | Preview |
+===============================================================================================================================+============================================================================================================================================+===========================================+
| `205-vision-background-removal <notebooks/205-vision-background-removal-with-output.html>`__ |br| |n205| |br| |c205| | Remove and replace the background in an image using salient object detection. | |n205-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| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `211-speech-to-text <notebooks/211-speech-to-text-with-output.html>`__ |br| |n211| | Run inference on speech-to-text recognition model. | |n211-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `215-image-inpainting <notebooks/215-image-inpainting-with-output.html>`__ |br| |n215| | Fill missing pixels with image in-painting. | |n215-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `218-vehicle-detection-and-recognition <notebooks/218-vehicle-detection-and-recognition-with-output.html>`__ |br| |n218| | 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| |br| |c201| | Monocular depth estimation with images and video. | |n201-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `202-vision-superresolution-image <notebooks/202-vision-superresolution-image-with-output.html>`__ |br| |n202i| |br| |c202i| | 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| |br| |c202v| | 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-segmenter-semantic-segmentation <notebooks/204-segmenter-semantic-segmentation-with-output.html>`__ |br| |c204| | Semantic segmentation with OpenVINO™ using Segmenter. | |n204-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `206-vision-paddlegan-anime <notebooks/206-vision-paddlegan-anime-with-output.html>`__ | Turn an image into anime using a GAN. | |n206-img1| → |n206-img2| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `207-vision-paddlegan-superresolution <notebooks/207-vision-paddlegan-superresolution-with-output.html>`__ | Upscale small images with superresolution using a PaddleGAN model. | |n207-img1| → |n207-img2| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `208-optical-character-recognition <notebooks/208-optical-character-recognition-with-output.html>`__ | Annotate text on images using text recognition resnet. | |n208-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `212-pyannote-speaker-diarization <notebooks/212-pyannote-speaker-diarization-with-output.html>`__ | Run inference on speaker diarization pipeline. | |n212-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `210-slowfast-video-recognition <notebooks/210-slowfast-video-recognition-with-output.html>`__ |br| |n210| | Video Recognition using SlowFast and OpenVINO™ | |n210-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `213-question-answering <notebooks/213-question-answering-with-output.html>`__ |br| |n213| | Answer your questions basing on a context. | |n213-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `214-grammar-correction <notebooks/214-grammar-correction-with-output.html>`__ | Grammatical error correction with OpenVINO. | |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `216-attention-center <notebooks/216-attention-center-with-output.html>`__ | The attention center model with OpenVINO™ | |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `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>`__ |br| |n219| | Optimize the knowledge graph embeddings model (ConvE) with OpenVINO. | |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `220-cross-lingual-books-alignment <notebooks/220-cross-lingual-books-alignment-with-output.html>`__ |br| |n220| |br| |c220| | Cross-lingual Books Alignment With Transformers and OpenVINO™ | |n220-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `221-machine-translation <notebooks/221-machine-translation-with-output.html>`__ |br| |n221| |br| |c221| | Real-time translation from English to German. | |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `222-vision-image-colorization <notebooks/222-vision-image-colorization-with-output.html>`__ |br| |n222| | Use pre-trained models to colorize black & white images using OpenVINO. | |n222-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `223-text-prediction <notebooks/223-text-prediction-with-output.html>`__ |br| |c223| | Use pre-trained models to perform text prediction on an input sequence. | |n223-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `224-3D-segmentation-point-clouds <notebooks/224-3D-segmentation-point-clouds-with-output.html>`__ | Process point cloud data and run 3D Part Segmentation with OpenVINO. | |n224-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `225-stable-diffusion-text-to-image <notebooks/225-stable-diffusion-text-to-image-with-output.html>`__ | Text-to-image generation with Stable Diffusion method. | |n225-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `226-yolov7-optimization <notebooks/226-yolov7-optimization-with-output.html>`__ | Optimize YOLOv7, using NNCF PTQ API. | |n226-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `227-whisper-subtitles-generation <notebooks/227-whisper-subtitles-generation-with-output.html>`__ |br| |c227| | Generate subtitles for video with OpenAI Whisper and OpenVINO. | |n227-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `228-clip-zero-shot-convert <notebooks/228-clip-zero-shot-convert-with-output.html>`__ | Zero-shot Image Classification with OpenAI CLIP and OpenVINO™ | |n228-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `228-clip-zero-shot-quantize <notebooks/228-clip-zero-shot-quantize-with-output.html>`__ | Post-Training Quantization of OpenAI CLIP model with NNCF | |n228-img2| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `229-distilbert-sequence-classification <notebooks/229-distilbert-sequence-classification-with-output.html>`__ |br| |n229| | Sequence classification with OpenVINO. | |n229-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `230-yolov8-optimization <notebooks/230-yolov8-optimization-with-output.html>`__ |br| |c230| | Optimize YOLOv8, using NNCF PTQ API. | |n230-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `231-instruct-pix2pix-image-editing <notebooks/231-instruct-pix2pix-image-editing-with-output.html>`__ | Image editing with InstructPix2Pix. | |n231-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `232-clip-language-saliency-map <notebooks/232-clip-language-saliency-map-with-output.html>`__ |br| |c232| | Language-visual saliency with CLIP and OpenVINO™. | |n232-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `233-blip-visual-language-processing <notebooks/233-blip-visual-language-processing-with-output.html>`__ | Visual question answering and image captioning using BLIP and OpenVINO™. | |n233-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `234-encodec-audio-compression <notebooks/234-encodec-audio-compression-with-output.html>`__ | Audio compression with EnCodec and OpenVINO™. | |n234-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `235-controlnet-stable-diffusion <notebooks/235-controlnet-stable-diffusion-with-output.html>`__ | A text-to-image generation with ControlNet Conditioning and OpenVINO™. | |n235-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `236-stable-diffusion-v2 <notebooks/236-stable-diffusion-v2-infinite-zoom-with-output.html>`__ | Text-to-image generation and Infinite Zoom with Stable Diffusion v2 and OpenVINO™. | |n236-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `236-stable-diffusion-v2 <notebooks/236-stable-diffusion-v2-optimum-demo-comparison-with-output.html>`__ | Stable Diffusion v2.1 using Optimum-Intel OpenVINO and multiple Intel Hardware. | |n236-img4| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `236-stable-diffusion-v2 <notebooks/236-stable-diffusion-v2-optimum-demo-with-output.html>`__ | Stable Diffusion v2.1 using Optimum-Intel OpenVINO. | |n236-img4| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `236-stable-diffusion-v2 <notebooks/236-stable-diffusion-v2-text-to-image-demo-with-output.html>`__ | Stable Diffusion Text-to-Image Demo. | |n236-img4| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `236-stable-diffusion-v2 <notebooks/236-stable-diffusion-v2-text-to-image-with-output.html>`__ | Text-to-image generation with Stable Diffusion v2 and OpenVINO™. | |n236-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `237-segment-anything <notebooks/237-segment-anything-with-output.html>`__ | Prompt based object segmentation mask generation, using Segment Anything and OpenVINO™. | |n237-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `238-deep-floyd-if <notebooks/238-deep-floyd-if-with-output.html>`__ | Text-to-image generation with DeepFloyd IF and OpenVINO™. | |n238-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `239-image-bind <notebooks/239-image-bind-convert-with-output.html>`__ | Binding multimodal data, using ImageBind and OpenVINO™. | |n239-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `240-dolly-2-instruction-following <notebooks/240-dolly-2-instruction-following-with-output.html>`__ | Instruction following using Databricks Dolly 2.0 and OpenVINO™. | |n240-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `241-riffusion-text-to-music <notebooks/241-riffusion-text-to-music-with-output.html>`__ | Text-to-Music generation using Riffusion and OpenVINO™. | |n241-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `242-freevc-voice-conversion <notebooks/242-freevc-voice-conversion-with-output.html>`__ | High-Quality Text-Free One-Shot Voice Conversion with FreeVC and OpenVINO™ | |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `243-tflite-selfie-segmentation <notebooks/243-tflite-selfie-segmentation-with-output.html>`__ |br| |n243| |br| |c243| | Selfie Segmentation using TFLite and OpenVINO™. | |n243-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `244-named-entity-recognition <notebooks/244-named-entity-recognition-with-output.html>`__ |br| |c244| | Named entity recognition with OpenVINO™. | |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `245-typo-detector <notebooks/245-typo-detector-with-output.html>`__ | English Typo Detection in sentences with OpenVINO™. | |n245-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `246-depth-estimation-videpth <notebooks/246-depth-estimation-videpth-with-output.html>`__ | Monocular Visual-Inertial Depth Estimation with OpenVINO™. | |n246-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `247-code-language-id <notebooks/247-code-language-id-with-output.html>`__ |br| |n247| | Identify the programming language used in an arbitrary code snippet. | |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `248-stable-diffusion-xl <notebooks/248-stable-diffusion-xl-with-output.html>`__ | Image generation with Stable Diffusion XL and OpenVINO™. | |n248-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `249-oneformer-segmentation <notebooks/249-oneformer-segmentation-with-output.html>`__ | Universal segmentation with OneFormer and OpenVINO™. | |n249-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `250-music-generation <notebooks/250-music-generation-with-output.html>`__ |br| |n250| |br| |c250| | Controllable Music Generation with MusicGen and OpenVINO™. | |n250-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `251-tiny-sd-image-generation <notebooks/251-tiny-sd-image-generation-with-output.html>`__ |br| |c251| | Image Generation with Tiny-SD and OpenVINO™. | |n251-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `252-fastcomposer-image-generation <notebooks/252-fastcomposer-image-generation-with-output.html>`__ | Image generation with FastComposer and OpenVINO™. | |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
| `253-zeroscope-text2video <notebooks/253-zeroscope-text2video-with-output.html>`__ | Text-to video synthesis with ZeroScope and OpenVINO™. | A panda eating bamboo on a rock. |br| |n253-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------+
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| |
+--------------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `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>`__ |br| |c305| | Use Neural Network Compression Framework (NNCF) to quantize TensorFlow model. | |
+--------------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
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| |br| |c401| | 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| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `404-style-transfer-webcam <notebooks/404-style-transfer-with-output.html>`__ |br| |n404| |br| |c404| | Style transfer with a webcam or video file. | |n404-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `405-paddle-ocr-webcam <notebooks/405-paddle-ocr-webcam-with-output.html>`__ |br| |n405| |br| |c405| | OCR with a webcam or video file. | |n405-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `406-3D-pose-estimation-webcam <notebooks/406-3D-pose-estimation-with-output.html>`__ |br| |n406| | 3D display of human pose estimation with a webcam or video file. | |n406-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `407-person-tracking-webcam <notebooks/407-person-tracking-with-output.html>`__ |br| |n407| |br| |c407| | Person tracking with a webcam or video file. | |n407-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
Recommended Tutorials
---------------------
The following tutorials are guaranteed to provide a great experience with inference in OpenVINO:
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| Notebook | | Preview |
+===============================================================================================================================+============================================================================================================================================+===========================================+
| `YOLOv8 - Optimization <notebooks/230-yolov8-optimization-with-output.html>`__ |br| |c230| | Optimize YOLOv8, using NNCF PTQ API. | |n230-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `SAM - Segment Anything Model <notebooks/237-segment-anything-with-output.html>`__ | Prompt based object segmentation mask generation, using Segment Anything and OpenVINO™. | |n237-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `ControlNet - Stable-Diffusion <notebooks/235-controlnet-stable-diffusion-with-output.html>`__ | A text-to-image generation with ControlNet Conditioning and OpenVINO™. | |n235-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `Stable Diffusion v2 <notebooks/236-stable-diffusion-v2-infinite-zoom-with-output.html>`__ | Text-to-image generation and Infinite Zoom with Stable Diffusion v2 and OpenVINO™. | |n236-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `Whisper - Subtitles generation <notebooks/227-whisper-subtitles-generation-with-output.html>`__ |br| |c227| | Generate subtitles for video with OpenAI Whisper and OpenVINO. | |n227-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `CLIP - zero-shot-image-classification <notebooks/228-clip-zero-shot-convert-with-output.html>`__ | Perform Zero-shot image classification with CLIP and OpenVINO. | |n228-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `BLIP - Visual-language-processing <notebooks/233-blip-visual-language-processing-with-output.html>`__ | Visual question answering and image captioning using BLIP and OpenVINO™. | |n233-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `Instruct pix2pix - Image-editing <notebooks/231-instruct-pix2pix-image-editing-with-output.html>`__ | Image editing with InstructPix2Pix. | |n231-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `DeepFloyd IF - Text-to-Image generation <notebooks/238-deep-floyd-if-with-output.html>`__ | Text-to-image generation with DeepFloyd IF and OpenVINO™. | |n238-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `ImageBind <notebooks/239-image-bind-convert-with-output.html>`__ | Binding multimodal data, using ImageBind and OpenVINO™. | |n239-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `Dolly v2 <notebooks/240-dolly-2-instruction-following-with-output.html>`__ | Instruction following using Databricks Dolly 2.0 and OpenVINO™. | |n240-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `Stable Diffusion XL <notebooks/248-stable-diffusion-xl-with-output.html>`__ | Image generation with Stable Diffusion XL and OpenVINO™. | |n248-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `MusicGen <notebooks/250-music-generation-with-output.html>`__ |br| |n250| |br| |c250| | Controllable Music Generation with MusicGen and OpenVINO™. | |n250-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
| `Tiny SD <notebooks/251-tiny-sd-image-generation-with-output.html>`__ |br| |c251| | Image Generation with Tiny-SD and OpenVINO™. | |n251-img1| |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+
.. note::
If there are any issues while running the notebooks, refer to the **Troubleshooting** and **FAQ** sections in the :doc:`Installation Guide <notebooks_installation>` or start a GitHub
`discussion <https://github.com/openvinotoolkit/openvino_notebooks/discussions>`__.
Additional Resources
--------------------
* `OpenVINO™ Notebooks - Github Repository <https://github.com/openvinotoolkit/openvino_notebooks/blob/main/README.md>`_
* `Binder documentation <https://mybinder.readthedocs.io/en/latest/>`_
* `Google Colab <https://colab.research.google.com/>`__
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
.. |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:: https://user-images.githubusercontent.com/36741649/128489933-bf215a3f-06fa-4918-8833-cb0bf9fb1cc7.jpg
: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
:target: https://user-images.githubusercontent.com/15709723/127779167-9d33dcc6-9001-4d74-a089-8248310092fe.png
.. |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
:target: https://user-images.githubusercontent.com/15709723/127779326-dc14653f-a960-4877-b529-86908a6f2a61.png
.. |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
.. |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
.. |n203-img1| image:: https://user-images.githubusercontent.com/91237924/166135627-194405b0-6c25-4fd8-9ad1-83fb3a00a081.jpg
:target: https://user-images.githubusercontent.com/91237924/166135627-194405b0-6c25-4fd8-9ad1-83fb3a00a081.jpg
.. |n204-img1| image:: https://user-images.githubusercontent.com/61357777/223854308-d1ac4a39-cc0c-4618-9e4f-d9d4d8b991e8.jpg
:target: https://user-images.githubusercontent.com/61357777/223854308-d1ac4a39-cc0c-4618-9e4f-d9d4d8b991e8.jpg
.. |n205-img1| image:: https://user-images.githubusercontent.com/15709723/125184237-f4b6cd00-e1d0-11eb-8e3b-d92c9a728372.png
:target: https://user-images.githubusercontent.com/15709723/125184237-f4b6cd00-e1d0-11eb-8e3b-d92c9a728372.png
.. |n206-img1| image:: https://user-images.githubusercontent.com/15709723/127788059-1f069ae1-8705-4972-b50e-6314a6f36632.jpeg
:target: https://user-images.githubusercontent.com/15709723/127788059-1f069ae1-8705-4972-b50e-6314a6f36632.jpeg
.. |n206-img2| image:: https://user-images.githubusercontent.com/15709723/125184441-b4584e80-e1d2-11eb-8964-d8131cd97409.png
:target: https://user-images.githubusercontent.com/15709723/125184441-b4584e80-e1d2-11eb-8964-d8131cd97409.png
.. |n207-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
:width: 70
.. |n207-img2| 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
:width: 130
.. |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
.. |n210-img1| image:: https://github.com/facebookresearch/SlowFast/raw/main/demo/ava_demo.gif
:target: https://github.com/facebookresearch/SlowFast/raw/main/demo/ava_demo.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
.. |n212-img1| image:: https://user-images.githubusercontent.com/29454499/218432101-0bd0c424-e1d8-46af-ba1d-ee29ed6d1229.png
:target: https://user-images.githubusercontent.com/29454499/218432101-0bd0c424-e1d8-46af-ba1d-ee29ed6d1229.png
.. |n215-img1| image:: https://user-images.githubusercontent.com/4547501/167121084-ec58fbdb-b269-4de2-9d4c-253c5b95de1e.png
:target: https://user-images.githubusercontent.com/4547501/167121084-ec58fbdb-b269-4de2-9d4c-253c5b95de1e.png
.. |n216-img1| image:: https://user-images.githubusercontent.com/70456146/162759539-4a0a996f-dabe-40ea-98d6-85b4dce8511d.png
:target: https://user-images.githubusercontent.com/70456146/162759539-4a0a996f-dabe-40ea-98d6-85b4dce8511d.png
.. |n217-img1| image:: https://user-images.githubusercontent.com/41332813/158430181-05d07f42-cdb8-4b7a-b7dc-e7f7d9391877.png
:target: https://user-images.githubusercontent.com/41332813/158430181-05d07f42-cdb8-4b7a-b7dc-e7f7d9391877.png
.. |n218-img1| image:: https://user-images.githubusercontent.com/47499836/163544861-fa2ad64b-77df-4c16-b065-79183e8ed964.png
:target: https://user-images.githubusercontent.com/47499836/163544861-fa2ad64b-77df-4c16-b065-79183e8ed964.png
.. |n220-img1| image:: https://user-images.githubusercontent.com/51917466/254583163-3bb85143-627b-4f02-b628-7bef37823520.png
:target: https://user-images.githubusercontent.com/51917466/254583163-3bb85143-627b-4f02-b628-7bef37823520.png
.. |n222-img1| image:: https://user-images.githubusercontent.com/18904157/166343139-c6568e50-b856-4066-baef-5cdbd4e8bc18.png
:target: https://user-images.githubusercontent.com/18904157/166343139-c6568e50-b856-4066-baef-5cdbd4e8bc18.png
.. |n223-img1| image:: https://user-images.githubusercontent.com/91228207/185105225-0f996b0b-0a3b-4486-872d-364ac6fab68b.png
:target: https://user-images.githubusercontent.com/91228207/185105225-0f996b0b-0a3b-4486-872d-364ac6fab68b.png
.. |n224-img1| image:: https://user-images.githubusercontent.com/91237924/185752178-3882902c-907b-4614-b0e6-ea1de08bf3ef.png
:target: https://user-images.githubusercontent.com/91237924/185752178-3882902c-907b-4614-b0e6-ea1de08bf3ef.png
.. |n225-img1| image:: https://user-images.githubusercontent.com/15709723/200945747-1c584e5c-b3f2-4e43-b1c1-e35fd6edc2c3.png
:target: https://user-images.githubusercontent.com/15709723/200945747-1c584e5c-b3f2-4e43-b1c1-e35fd6edc2c3.png
.. |n226-img1| image:: https://raw.githubusercontent.com/WongKinYiu/yolov7/main/figure/horses_prediction.jpg
:target: https://raw.githubusercontent.com/WongKinYiu/yolov7/main/figure/horses_prediction.jpg
.. |n227-img1| image:: https://user-images.githubusercontent.com/29454499/204548693-1304ef33-c790-490d-8a8b-d5766acb6254.png
:target: https://user-images.githubusercontent.com/29454499/204548693-1304ef33-c790-490d-8a8b-d5766acb6254.png
.. |n228-img1| image:: https://camo.githubusercontent.com/8beb0eedc6a3bcafc397399d55a7e7da4184c1c799e6351a07a7c4aef534ffc4/68747470733a2f2f757365722d696d616765732e67697468756275736572636f6e74656e742e636f6d2f32393435343439392f3230373737333438312d64373763616366382d366364632d343736352d613331622d6131363639343736643632302e706e67
:target: https://camo.githubusercontent.com/8beb0eedc6a3bcafc397399d55a7e7da4184c1c799e6351a07a7c4aef534ffc4/68747470733a2f2f757365722d696d616765732e67697468756275736572636f6e74656e742e636f6d2f32393435343439392f3230373737333438312d64373763616366382d366364632d343736352d613331622d6131363639343736643632302e706e67
.. |n228-img2| image:: https://user-images.githubusercontent.com/29454499/207795060-437b42f9-e801-4332-a91f-cc26471e5ba2.png
:target: https://user-images.githubusercontent.com/29454499/207795060-437b42f9-e801-4332-a91f-cc26471e5ba2.png
.. |n229-img1| image:: https://user-images.githubusercontent.com/95271966/206130638-d9847414-357a-4c79-9ca7-76f4ae5a6d7f.png
:target: https://user-images.githubusercontent.com/95271966/206130638-d9847414-357a-4c79-9ca7-76f4ae5a6d7f.png
.. |n230-img1| image:: https://user-images.githubusercontent.com/29454499/212105105-f61c8aab-c1ff-40af-a33f-d0ed1fccc72e.png
:target: https://user-images.githubusercontent.com/29454499/212105105-f61c8aab-c1ff-40af-a33f-d0ed1fccc72e.png
.. |n231-img1| image:: https://user-images.githubusercontent.com/29454499/219943222-d46a2e2d-d348-4259-8431-37cf14727eda.png
:target: https://user-images.githubusercontent.com/29454499/219943222-d46a2e2d-d348-4259-8431-37cf14727eda.png
.. |n232-img1| image:: https://user-images.githubusercontent.com/29454499/218967961-9858efd5-fff2-4eb0-bde9-60852f4b31cb.JPG
:target: https://user-images.githubusercontent.com/29454499/218967961-9858efd5-fff2-4eb0-bde9-60852f4b31cb.JPG
.. |n233-img1| image:: https://user-images.githubusercontent.com/29454499/221933762-4ff32ecb-5e5d-4484-80e1-e9396cb3c511.png
:target: https://user-images.githubusercontent.com/29454499/221933762-4ff32ecb-5e5d-4484-80e1-e9396cb3c511.png
.. |n234-img1| image:: https://github.com/facebookresearch/encodec/raw/main/thumbnail.png
:target: https://github.com/facebookresearch/encodec/raw/main/thumbnail.png
.. |n235-img1| image:: https://user-images.githubusercontent.com/29454499/224541412-9d13443e-0e42-43f2-8210-aa31820c5b44.png
:target: https://user-images.githubusercontent.com/29454499/224541412-9d13443e-0e42-43f2-8210-aa31820c5b44.png
.. |n236-img1| image:: https://user-images.githubusercontent.com/29454499/228882108-25c1f65d-4c23-4e1d-8ba4-f6164280a3e3.gif
:target: https://user-images.githubusercontent.com/29454499/228882108-25c1f65d-4c23-4e1d-8ba4-f6164280a3e3.gif
.. |n236-img4| image:: https://user-images.githubusercontent.com/1720147/229231281-065641fd-53ea-4940-8c52-b1eebfbaa7fa.png
:target: https://user-images.githubusercontent.com/1720147/229231281-065641fd-53ea-4940-8c52-b1eebfbaa7fa.png
.. |n237-img1| image:: https://user-images.githubusercontent.com/29454499/231468849-1cd11e68-21e2-44ed-8088-b792ef50c32d.png
:target: https://user-images.githubusercontent.com/29454499/231468849-1cd11e68-21e2-44ed-8088-b792ef50c32d.png
.. |n238-img1| image:: https://user-images.githubusercontent.com/29454499/241643886-dfcf3c48-8d50-4730-ae28-a21595d9504f.png
:target: https://user-images.githubusercontent.com/29454499/241643886-dfcf3c48-8d50-4730-ae28-a21595d9504f.png
.. |n239-img1| image:: https://user-images.githubusercontent.com/29454499/240364108-39868933-d221-41e6-9b2e-dac1b14ef32f.png
:target: https://user-images.githubusercontent.com/29454499/240364108-39868933-d221-41e6-9b2e-dac1b14ef32f.png
.. |n240-img1| image:: https://user-images.githubusercontent.com/29454499/237291423-022f07d2-966b-4be2-9a1c-98f1cf0691c2.png
:target: https://user-images.githubusercontent.com/29454499/237291423-022f07d2-966b-4be2-9a1c-98f1cf0691c2.png
.. |n241-img1| image:: https://user-images.githubusercontent.com/29454499/244291912-bbc6e08c-c0a9-41fe-bc2d-5f89a0d2463b.png
:target: https://user-images.githubusercontent.com/29454499/244291912-bbc6e08c-c0a9-41fe-bc2d-5f89a0d2463b.png
.. |n243-img1| image:: https://user-images.githubusercontent.com/29454499/251085926-14045ebc-273b-4ccb-b04f-82a3f7811b87.gif
:target: https://user-images.githubusercontent.com/29454499/251085926-14045ebc-273b-4ccb-b04f-82a3f7811b87.gif
.. |n245-img1| image:: https://user-images.githubusercontent.com/80534358/224564463-ee686386-f846-4b2b-91af-7163586014b7.png
:target: https://user-images.githubusercontent.com/80534358/224564463-ee686386-f846-4b2b-91af-7163586014b7.png
.. |n246-img1| image:: https://raw.githubusercontent.com/alexklwong/void-dataset/master/figures/void_samples.png
:target: https://raw.githubusercontent.com/alexklwong/void-dataset/master/figures/void_samples.png
.. |n248-img1| image:: https://user-images.githubusercontent.com/29454499/258651862-28b63016-c5ff-4263-9da8-73ca31100165.jpeg
:target: https://user-images.githubusercontent.com/29454499/258651862-28b63016-c5ff-4263-9da8-73ca31100165.jpeg
.. |n249-img1| image:: https://camo.githubusercontent.com/f46c3642d3266e9d56d8ea8a943e67825597de3ff51698703ea2ddcb1086e541/68747470733a2f2f6769746875622d70726f64756374696f6e2d757365722d61737365742d3632313064662e73332e616d617a6f6e6177732e636f6d2f37363136313235362f3235383634303731332d66383031626430392d653932372d346162642d616132662d3939393064653463616638642e676966
:target: https://camo.githubusercontent.com/f46c3642d3266e9d56d8ea8a943e67825597de3ff51698703ea2ddcb1086e541/68747470733a2f2f6769746875622d70726f64756374696f6e2d757365722d61737365742d3632313064662e73332e616d617a6f6e6177732e636f6d2f37363136313235362f3235383634303731332d66383031626430392d653932372d346162642d616132662d3939393064653463616638642e676966
.. |n250-img1| image:: https://user-images.githubusercontent.com/76463150/260439306-81c81c8d-1f9c-41d0-b881-9491766def8e.png
:target: https://user-images.githubusercontent.com/76463150/260439306-81c81c8d-1f9c-41d0-b881-9491766def8e.png
.. |n251-img1| image:: https://user-images.githubusercontent.com/29454499/260904650-274fc2f9-24d2-46a3-ac3d-d660ec3c9a19.png
:target: https://user-images.githubusercontent.com/29454499/260904650-274fc2f9-24d2-46a3-ac3d-d660ec3c9a19.png
.. |n253-img1| image:: https://user-images.githubusercontent.com/76161256/261102399-500956d5-4aac-4710-a77c-4df34bcda3be.gif
:target: https://user-images.githubusercontent.com/76161256/261102399-500956d5-4aac-4710-a77c-4df34bcda3be.gif
.. |n301-img1| image:: https://user-images.githubusercontent.com/15709723/127779607-8fa34947-1c35-4260-8d04-981c41a2a2cc.png
:target: https://user-images.githubusercontent.com/15709723/127779607-8fa34947-1c35-4260-8d04-981c41a2a2cc.png
.. |n401-img1| image:: https://user-images.githubusercontent.com/4547501/141471665-82b28c86-cf64-4bfe-98b3-c314658f2d96.gif
:target: https://user-images.githubusercontent.com/4547501/141471665-82b28c86-cf64-4bfe-98b3-c314658f2d96.gif
.. |n402-img1| image:: https://user-images.githubusercontent.com/4547501/138267961-41d754e7-59db-49f6-b700-63c3a636fad7.gif
:target: https://user-images.githubusercontent.com/4547501/138267961-41d754e7-59db-49f6-b700-63c3a636fad7.gif
.. |n403-img1| image:: https://user-images.githubusercontent.com/10940214/151552326-642d6e49-f5a0-4fc1-bf14-ae3f457e1fec.gif
:target: https://user-images.githubusercontent.com/10940214/151552326-642d6e49-f5a0-4fc1-bf14-ae3f457e1fec.gif
.. |n404-img1| image:: https://user-images.githubusercontent.com/109281183/203772234-f17a0875-b068-43ef-9e77-403462fde1f5.gif
:target: https://user-images.githubusercontent.com/109281183/203772234-f17a0875-b068-43ef-9e77-403462fde1f5.gif
.. |n405-img1| image:: https://raw.githubusercontent.com/yoyowz/classification/master/images/paddleocr.gif
:target: https://raw.githubusercontent.com/yoyowz/classification/master/images/paddleocr.gif
.. |n406-img1| image:: https://user-images.githubusercontent.com/42672437/183292131-576cc05a-a724-472c-8dc9-f6bc092190bf.gif
:target: https://user-images.githubusercontent.com/42672437/183292131-576cc05a-a724-472c-8dc9-f6bc092190bf.gif
.. |n407-img1| image:: https://user-images.githubusercontent.com/91237924/210479548-b70dbbaa-5948-4e49-b48e-6cb6613226da.gif
:target: https://user-images.githubusercontent.com/91237924/210479548-b70dbbaa-5948-4e49-b48e-6cb6613226da.gif
.. |launch-jupyter| image:: https://user-images.githubusercontent.com/15709723/120527271-006fd200-c38f-11eb-9935-2d36d50bab9f.gif
:target: https://user-images.githubusercontent.com/15709723/120527271-006fd200-c38f-11eb-9935-2d36d50bab9f.gif
.. |Apache License Version 2.0| image:: https://img.shields.io/badge/license-Apache_2.0-green.svg
:target: https://github.com/openvinotoolkit/openvino_notebooks/blob/main/LICENSE
.. |nbval| image:: https://github.com/openvinotoolkit/openvino_notebooks/actions/workflows/nbval.yml/badge.svg
:target: https://github.com/openvinotoolkit/openvino_notebooks/actions/workflows/nbval.yml?query=branch%3Amain
.. |nbval-docker| image:: https://github.com/openvinotoolkit/openvino_notebooks/actions/workflows/docker.yml/badge.svg
:target: https://github.com/openvinotoolkit/openvino_notebooks/actions/workflows/nbval.yml?query=branch%3Amain
.. |n001| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F001-hello-world%2F001-hello-world.ipynb
.. |n002| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F002-openvino-api%2F002-openvino-api.ipynb
.. |c002| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/002-openvino-api/002-openvino-api.ipynb
.. |n003| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F003-hello-segmentation%2F003-hello-segmentation.ipynb
.. |n004| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F004-hello-detection%2F004-hello-detection.ipynb
.. |n101| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F101-tensorflow-to-openvino%2F101-tensorflow-to-openvino.ipynb
.. |c102| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/102-pytorch-to-openvino/102-pytorch-to-openvino.ipynb
.. |n103| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F103-paddle-onnx-to-openvino-classification%2F103-paddle-onnx-to-openvino-classification.ipynb
.. |n104| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F104-model-tools%2F104-model-tools.ipynb
.. |n106| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F106-auto-device%2F106-auto-device.ipynb
.. |c107| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/107-speech-recognition-quantization/107-speech-recognition-quantization-data2vec.ipynb
.. |n110| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F110-ct-segmentation-quantize%2F110-ct-scan-live-inference.ipynb
.. |c111| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/111-yolov5-quantization-migration/111-yolov5-quantization-migration.ipynb
.. |n113| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F113-image-classification-quantization%2F113-image-classification-quantization.ipynb
.. |n115| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F115-async-api%2F115-async-api.ipynb
.. |c115| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/115-async-api/115-async-api.ipynb
.. |c116| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/116-sparsity-optimization/116-sparsity-optimization.ipynb
.. |c119| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/119-tflite-to-openvino/119-tflite-to-openvino.ipynb
.. |n120| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F120-tensorflow-object-detection-to-openvino%2F120-tensorflow-object-detection-to-openvino.ipynb
.. |c120| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/120-tensorflow-object-detection-to-openvino/120-tensorflow-object-detection-to-openvino.ipynb
.. |n121| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F121-convert-to-openvino%2F121-convert-to-openvino.ipynb
.. |c121| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/121-convert-to-openvino/121-convert-to-openvino.ipynb
.. |n209| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F209-handwritten-ocr%2F209-handwritten-ocr.ipynb
.. |n201| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F201-vision-monodepth%2F201-vision-monodepth.ipynb
.. |c201| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/201-vision-monodepth/201-vision-monodepth.ipynb
.. |n202i| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F202-vision-superresolution%2F202-vision-superresolution-image.ipynb
.. |c202i| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/202-vision-superresolution/202-vision-superresolution-image.ipynb
.. |n202v| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F202-vision-superresolution%2F202-vision-superresolution-video.ipynb
.. |c202v| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/202-vision-superresolution/202-vision-superresolution-video.ipynb
.. |n203| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F203-meter-reader%2F203-meter-reader.ipynb
.. |c204| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/204-segmenter-semantic-segmentation/204-segmenter-semantic-segmentation.ipynb
.. |n205| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F205-vision-background-removal%2F205-vision-background-removal.ipynb
.. |c205| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/205-vision-background-removal/205-vision-background-removal.ipynb
.. |c206| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/206-vision-paddlegan-anime/206-vision-paddlegan-anime.ipynb
.. |n210| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F210-slowfast-video-recognition%2F210-slowfast-video-recognition.ipynb
.. |n211| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F211-speech-to-text%2F211-speech-to-text.ipynb
.. |n213| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F213-question-answering%2F213-question-answering.ipynb
.. |n215| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F215-image-inpainting%2F215-image-inpainting.ipynb
.. |n216| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F216-license-plate-recognition%2F216-license-plate-recognition.ipynb
.. |n217| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/ThanosM97/openvino_notebooks/217-vision-deblur?labpath=notebooks%2F217-vision-deblur%2F217-vision-deblur.ipynb
.. |n218| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F218-vehicle-detection-and-recognition%2F218-vehicle-detection-and-recognition.ipynb
.. |n219| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F219-knowledge-graphs-conve%2F219-knowledge-graphs-conve.ipynb
.. |n220| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F220-cross-lingual-books-alignment%2F220-cross-lingual-books-alignment.ipynb
.. |c220| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/220-cross-lingual-books-alignment/220-cross-lingual-books-alignment.ipynb
.. |n221| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F221-machine-translation%2F221-machine-translation.ipynb
.. |c221| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/221-machine-translation/221-machine-translation.ipynb
.. |n222| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F222-vision-image-colorization%2F222-vision-image-colorization.ipynb
.. |c223| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/223-text-prediction/223-text-prediction.ipynb
.. |c227| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/227-whisper-subtitles-generation/227-whisper-subtitles-generation.ipynb
.. |n229| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F229-distilbert-sequence-classification%2F229-distilbert-sequence-classification.ipynb
.. |c230| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/230-yolov8-optimization/230-yolov8-optimization.ipynb
.. |c232| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/232-clip-language-saliency-map/232-clip-language-saliency-map.ipynb
.. |n243| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F243-tflite-selfie-segmentation%2F243-tflite-selfie-segmentation.ipynb
.. |c243| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/243-tflite-selfie-segmentation/243-tflite-selfie-segmentation.ipynb
.. |c244| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/244-named-entity-recognition/244-named-entity-recognition.ipynb
.. |n247| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F247-code-language-id%2F247-code-language-id.ipynb
.. |n250| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F250-music-generation%2F250-music-generation.ipynb
.. |c250| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/250-music-generation/250-music-generation.ipynb
.. |c251| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/251-tiny-sd-image-generation/251-tiny-sd-image-generation.ipynb
.. |c305| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/305-tensorflow-quantization-aware-training/305-tensorflow-quantization-aware-training.ipynb
.. |n401| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F401-object-detection-webcam%2F401-object-detection.ipynb
.. |c401| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/401-object-detection-webcam/401-object-detection.ipynb
.. |n402| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F402-pose-estimation-webcam%2F402-pose-estimation.ipynb
.. |n403| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F403-action-recognition-webcam%2F403-action-recognition-webcam.ipynb
.. |n404| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F404-style-transfer-webcam%2F404-style-transfer.ipynb
.. |c404| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/404-style-transfer-webcam/404-style-transfer.ipynb
.. |n405| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F405-paddle-ocr-webcam%2F405-paddle-ocr-webcam.ipynb
.. |c405| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/405-paddle-ocr-webcam/405-paddle-ocr-webcam.ipynb
.. |n406| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks.git/main?labpath=notebooks%2F406-3D-pose-estimation-webcam%2F406-3D-pose-estimation.ipynb
.. |n407| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F407-person-tracking-webcam%2F407-person-tracking.ipynb
.. |c407| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:target: https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/407-person-tracking-webcam/407-person-tracking.ipynb
.. |binder logo| image:: https://mybinder.org/badge_logo.svg
:alt: Binder button
.. |colab logo| image:: https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667
:width: 109
:alt: Google Colab button
@endsphinxdirective
Reference in New Issue View Git Blame Copy Permalink