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[GSoC] 210-Video Recognition using SlowFast (#922)
* Added notebook for SlowFast video recognition Notebook demonstrating conversion and inference of the SlowFast model for Action Classification using OpenVino. * Add README for SlowFast Video Recognition notebook Added README describing the objectives, contents and installation steps for the SlowFast video recognition notebook * Update README Added entries for the SlowFast video recognition notebook in notebooks overview tables * Add binder badge for SlowFast video recognition notebook * Styling changes * Fix failed build- missing dependency - Added missing dependency causing build to fail - Updated README * Use proper type classes for type hinting Use classes from the typing library for type hinting generics to ensure backward compatibility with earlier Python versions * Text and styling changes Fix typos and resolve styling issues in the SlowFast Video Recognition notebook. * Potential fix for failing build- skip torch.hub repo validation Skip repo validation for TorchHub models due to known bug in `torch.hub` with Github CI (pytorch/vision#4156) * Removed torch dependency in the data processing pipeline Use numpy instead of pytorch for processing input data to avoid torch dependency during model deployment. * style fix fix missing whitespace around arithmetic operator * Install dependencies in quiet mode * Add link to dataset
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README.md

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| [207-vision-paddlegan-superresolution](notebooks/207-vision-paddlegan-superresolution/)<br> | Upscale small images with superresolution using a PaddleGAN model| |
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| [208-optical-character-recognition](notebooks/208-optical-character-recognition/)<br> | Annotate text on images using text recognition resnet | <img src="https://user-images.githubusercontent.com/36741649/129315292-a37266dc-dfb2-4749-bca5-2ac9c1e93d64.jpg" width=225> |
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| [209-handwritten-ocr](notebooks/209-handwritten-ocr/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F209-handwritten-ocr%2F209-handwritten-ocr.ipynb) | OCR for handwritten simplified Chinese and Japanese | <img width="425" alt="handwritten_simplified_chinese_test" src="https://user-images.githubusercontent.com/36741649/132660640-da2211ec-c389-450e-8980-32a75ed14abb.png"> <br> 的人不一了是他有为在责新中任自之我们 |
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|[210-slowfast-video-recognition](notebooks/210-slowfast-video-recognition/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F210-slowfast-video-recognition%2F210-slowfast-video-recognition.ipynb) | Video Recognition using SlowFast and OpenVINO™ | <img src=https://github.com/facebookresearch/SlowFast/raw/main/demo/ava_demo.gif width=225> |
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| [211-speech-to-text](notebooks/211-speech-to-text/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F211-speech-to-text%2F211-speech-to-text.ipynb) | Run inference on speech-to-text recognition model | <img src="https://user-images.githubusercontent.com/36741649/140987347-279de058-55d7-4772-b013-0f2b12deaa61.png" width=225>|
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| [212-pyannote-speaker-diarization](notebooks/212-pyannote-speaker-diarization/)<br> | Run inference on speaker diarization pipeline | <img src="https://user-images.githubusercontent.com/29454499/218432101-0bd0c424-e1d8-46af-ba1d-ee29ed6d1229.png" width=225>|
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| [213-question-answering](notebooks/213-question-answering/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F213-question-answering%2F213-question-answering.ipynb) | Answer your questions basing on a context | <img src="https://user-images.githubusercontent.com/4547501/152571639-ace628b2-e3d2-433e-8c28-9a5546d76a86.gif" width=225> |

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