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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
Copy file name to clipboardExpand all lines: 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 | <imgsrc="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>[](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 | <imgwidth="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>[](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>[](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 | <imgsrc="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 | <imgsrc="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>[](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 | <imgsrc="https://user-images.githubusercontent.com/4547501/152571639-ace628b2-e3d2-433e-8c28-9a5546d76a86.gif"width=225> |
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