From 81b4666632775dac086e21ce1194d4c0b36e5f40 Mon Sep 17 00:00:00 2001 From: Sebastian Golebiewski Date: Fri, 24 Mar 2023 18:17:36 +0100 Subject: [PATCH] Update tutorials (#16544) --- docs/nbdoc/consts.py | 2 +- docs/tutorials.md | 129 +++++++++++++++++++++++-------------------- 2 files changed, 69 insertions(+), 62 deletions(-) diff --git a/docs/nbdoc/consts.py b/docs/nbdoc/consts.py index d633d63d1e5..946cfeb6842 100644 --- a/docs/nbdoc/consts.py +++ b/docs/nbdoc/consts.py @@ -8,7 +8,7 @@ repo_owner = "openvinotoolkit" repo_name = "openvino_notebooks" -artifacts_link = "http://repository.toolbox.iotg.sclab.intel.com/projects/ov-notebook/0.1.0-latest/20230317115622/dist/rst_files/" +artifacts_link = "http://repository.toolbox.iotg.sclab.intel.com/projects/ov-notebook/0.1.0-latest/20230323220806/dist/rst_files/" blacklisted_extensions = ['.xml', '.bin'] diff --git a/docs/tutorials.md b/docs/tutorials.md index b7f69cb75e4..aebf5c71aac 100644 --- a/docs/tutorials.md +++ b/docs/tutorials.md @@ -105,7 +105,7 @@ Tutorials that explain how to optimize and quantize models with OpenVINO tools. +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `102-pytorch-onnx-to-openvino `__ | Convert PyTorch models to OpenVINO IR. | |n102-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ -| `103-paddle-onnx-to-openvino `__ |br| |n103| | Convert PaddlePaddle models to OpenVINO IR. | |n103-img1| | +| `103-paddle-onnx-to-openvino `__ |br| |n103| | Convert PaddlePaddle models to OpenVINO IR. | |n103-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `104-model-tools `__ |br| |n104| | Download, convert and benchmark models from Open Model Zoo. | |n104-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ @@ -117,24 +117,26 @@ Tutorials that explain how to optimize and quantize models with OpenVINO tools. +==============================================================================================================================+==================================================================================================================================+ | `105-language-quantize-bert `__ | Optimize and quantize a pre-trained BERT model | +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ - | `106-auto-device `__ | Demonstrates how to use AUTO Device | + | `106-auto-device `__ |br| |n106| | Demonstrates how to use AUTO Device | +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ | `107-speech-recognition-quantization `__ | Optimize and quantize a pre-trained Wav2Vec2 speech model | +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ - | `110-ct-segmentation-quantize `__ | Quantize a kidney segmentation model and show live inference | + | `110-ct-segmentation-quantize `__ |br| |n110| | Quantize a kidney segmentation model and show live inference | +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ | `111-detection-quantization `__ |br| |n111| | Quantize an object detection model | +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ | `112-pytorch-post-training-quantization-nncf `__ | Use Neural Network Compression Framework (NNCF) to quantize PyTorch model in post-training mode (without model fine-tuning) | +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ - | `113-image-classification-quantization `__ | Quantize mobilenet image classification | + | `113-image-classification-quantization `__ |br| |n113| | Quantize mobilenet image classification | +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ - | `114-quantization-simplified-mode `__ | Quantize Image Classification Models with POT in Simplified Mode | + | `114-quantization-simplified-mode `__ |br| |n114| | Quantize Image Classification Models with POT in Simplified Mode | +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ - | `115-async-api `__ | Use Asynchronous Execution to Improve Data Pipelining | + | `115-async-api `__ |br| |n115| | Use Asynchronous Execution to Improve Data Pipelining | +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ | `116-sparsity-optimization `__ | Improve performance of sparse Transformer models | +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ + | `117-model-server `__ | Improve performance of sparse Transformer models | + +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ | `118-optimize-preprocessing `__ | Improve performance of image preprocessing step | +------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------+ @@ -151,18 +153,16 @@ Demos that demonstrate inference on a particular model. +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | Notebook | Description | Preview | +===============================================================================================================================+============================================================================================================================================+===========================================+ -| `210-ct-scan-live-inference `__ |br| |n210| | Show live inference on segmentation of CT-scan data. | |n210-img1| | -+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ -| `211-speech-to-text `__ |br| |n211| | Run inference on speech-to-text recognition model. | |n211-img1| | -+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ -| `208-optical-character-recognition `__ | Annotate text on images using text recognition resnet. | |n208-img1| | +| `205-vision-background-removal `__ |br| |n205| | Remove and replace the background in an image using salient object detection. | |n205-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `209-handwritten-ocr `__ |br| |n209| | OCR for handwritten simplified Chinese and Japanese. | |n209-img1| |br| |chinese-text| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ -| `218-vehicle-detection-and-recognition `__ | Use pre-trained models to detect and recognize vehicles and their attributes with OpenVINO. | |n218-img1| | +| `211-speech-to-text `__ |br| |n211| | Run inference on speech-to-text recognition model. | |n211-img1| | ++-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ +| `215-image-inpainting `__ |br| |n215| | Fill missing pixels with image in-painting. | |n215-img1| | ++-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ +| `218-vehicle-detection-and-recognition `__ |br| |n218| | Use pre-trained models to detect and recognize vehicles and their attributes with OpenVINO. | |n218-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ - - .. dropdown:: Explore more notebooks below. @@ -177,31 +177,29 @@ Demos that demonstrate inference on a particular model. +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `203-meter-reader `__ |br| |n203| | PaddlePaddle pre-trained models to read industrial meter's value | |n203-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ - | `204-named-entity-recognition `__ |br| |n204| | Perform named entity recognition on simple text. | |n204-img1| | + | `206-vision-paddlegan-anime `__ | Turn an image into anime using a GAN. | |n206-img1| → |n206-img2| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ - | `205-vision-background-removal `__ |br| |n205| | Remove and replace the background in an image using salient object detection. | |n205-img1| | + | `207-vision-paddlegan-superresolution `__ | Upscale small images with superresolution using a PaddleGAN model. | |n207-img1| → |n207-img2| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ - | `206-vision-paddlegan-anime `__ |br| |n206| | Turn an image into anime using a GAN. | |n206-img1| → |n206-img2| | + | `208-optical-character-recognition `__ | Annotate text on images using text recognition resnet. | |n208-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ - | `207-vision-paddlegan-superresolution `__ |br| |n207| | Upscale small images with superresolution using a PaddleGAN model. | |n207-img1| → |n207-img2| | + | `212-pyannote-speaker-diarization `__ | Run inference on speaker diarization pipeline | |n212-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ - | `212-onnx-style-transfer `__ |br| |n212| | Transform images to five different styles with neural style transfer. | |n212-img1| → |n212-img2| | + | `213-question-answering `__ |br| |n213| | Answer your questions basing on a context. | |n213-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ - | `214-vision-paddle-classification `__ |br| |n214| | PaddlePaddle Image Classification with OpenVINO. | | + | `214-grammar-correction `__ | Grammatical Error Correction with OpenVINO | | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ - | `215-image-inpainting `__ | Fill missing pixels with image in-painting. | |n215-img1| | - +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ - | `216-license-plate-recognition `__ | Recognize Chinese license plates in traffic. | |n216-img1| | + | `216-license-plate-recognition `__ |br| |n216| | Recognize Chinese license plates in traffic. | |n216-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `217-vision-deblur `__ |br| |n217| | Deblur Images with DeblurGAN-v2. | |n217-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ - | `219-knowledge-graphs-conve `__ | Optimize the knowledge graph embeddings model (ConvE) with OpenVINO | | + | `219-knowledge-graphs-conve `__ |br| |n219| | Optimize the knowledge graph embeddings model (ConvE) with OpenVINO | | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `220-yolov5-accuracy-check-and-quantization `__ | Quantize the Ultralytics YOLOv5 model and check accuracy using the OpenVINO POT API | |n220-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ - | `221-machine-translation `__ | Real-time translation from English to German | | + | `221-machine-translation `__ |br| |n221| | Real-time translation from English to German | | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ - | `222-vision-image-colorization `__ | Use pre-trained models to colorize black & white images using OpenVINO | |n222-img1| | + | `222-vision-image-colorization `__ |br| |n222| | Use pre-trained models to colorize black & white images using OpenVINO | |n222-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `223-gpt2-text-prediction `__ | Use GPT-2 to perform text prediction on an input sequence | |n223-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ @@ -215,7 +213,7 @@ Demos that demonstrate inference on a particular model. +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `228-clip-zero-shot-image-classification `__ | Perform Zero-shot Image Classification with CLIP and OpenVINO | |n228-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ - | `229-distilbert-sequence-classification `__ | Sequence Classification with OpenVINO | |n229-img1| | + | `229-distilbert-sequence-classification `__ |br| |n229| | Sequence Classification with OpenVINO | |n229-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `230-yolov8-optimization `__ | Optimize YOLOv8 using NNCF PTQ API | |n230-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ @@ -296,11 +294,11 @@ The following tutorials are guaranteed to provide a great experience with infere +===============================================================================================================================+============================================================================================================================================+===========================================+ | `Vision-monodepth `__ |br| |n201| | Monocular depth estimation with images and video. | |n201-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ -| `CT-scan-live-inference `__ |br| |n210| | Show live inference on segmentation of CT-scan data. | |n210-img1| | +| `Vision-background-removal `__ |br| |n205| | Remove and replace the background in an image using salient object detection. | |n205-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `Object-detection-webcam `__ |br| |n401| | Object detection with a webcam or video file. | |n401-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ -| `Pose-estimation-webcam `__ |br| |n402| | Human pose estimation with a webcam or video file. | |n402-img1| | +| `Pose-estimation-webcam `__ |br| |n402| | Human pose estimation with a webcam or video file. | |n402-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ | `Action-recognition-webcam `__ |br| |n403| | Human action recognition with a webcam or video file. | |n403-img1| | +-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------+ @@ -362,16 +360,6 @@ Made with `contributors-img `__. :target: https://user-images.githubusercontent.com/15709723/127779326-dc14653f-a960-4877-b529-86908a6f2a61.png .. |n104-img1| image:: 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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/33627846/169470030-0370963e-6ad8-49e3-be7a-f02a2c677733.gif - :target: https://user-images.githubusercontent.com/33627846/169470030-0370963e-6ad8-49e3-be7a-f02a2c677733.gif .. |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 @@ -402,10 +388,16 @@ Made with `contributors-img `__. .. |n207-img2| image:: 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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 .. |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 +.. |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 .. |n111| image:: https://mybinder.org/badge_logo.svg :target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F111-detection-quantization%2F111-detection-quantization.ipynb -.. |n210| image:: https://mybinder.org/badge_logo.svg - :target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F210-ct-scan-live-inference%2F210-ct-scan-live-inference.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 +.. |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 +.. |n114| image:: https://mybinder.org/badge_logo.svg + :target: https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F114-quantization-simplified-mode%2F114-quantization-simplified-mode.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 + .. 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