提交 251a77aa 编写于 作者: G grasswolfs

test=develop, test=documents_fix

上级 b44d2a38
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## Visualization Demo ## Visualization Demo
### Text Recognition ### Text Recognition
- Contains ultra-lightweight Chinese and English OCR models, high-precision Chinese and English, multilingual German, French, Japanese, Korean OCR recognition. - Contain ultra-lightweight Chinese and English OCR models, high-precision Chinese and English, multilingual German, French, Japanese, Korean OCR recognition.
- Many thanks to CopyRight@[PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR) for the pre-trained models, you can try to train your models with PadddleOCR. - Many thanks to CopyRight@[PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR) for the pre-trained models, you can try to train your models with PadddleOCR.
<div align="center"> <div align="center">
<img src="./docs/imgs/Readme_Related/Image_Ocr.gif" width = "800" height = "400" /> <img src="./docs/imgs/Readme_Related/Image_Ocr.gif" width = "800" height = "400" />
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</div> </div>
### Key Point Detection ### Key Point Detection
- Supports body, face and hands key point detection for single or multiple person. - Support body, face and hands key point detection for single or multiple person.
- Many thanks to CopyRight@[openpose](https://github.com/CMU-Perceptual-Computing-Lab/openpose) for the pre-trained models. - Many thanks to CopyRight@[openpose](https://github.com/CMU-Perceptual-Computing-Lab/openpose) for the pre-trained models.
<div align="center"> <div align="center">
<img src="./docs/imgs/Readme_Related/Image_keypoint.gif" width = "458" height = "400" /> <img src="./docs/imgs/Readme_Related/Image_keypoint.gif" width = "458" height = "400" />
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</div> </div>
### Video Classification ### Video Classification
- Short video classification trained via large-scale video dataset, supports 3000+ tag types prediction. - Short video classification trained via large-scale video datasets, supports 3000+ tag types prediction for short Form Videos.
- Many thanks to CopyRight@[PaddleVideo](https://github.com/PaddlePaddle/PaddleVideo) for the pre-trained model, you can try to train your models with PaddleVideo. - Many thanks to CopyRight@[PaddleVideo](https://github.com/PaddlePaddle/PaddleVideo) for the pre-trained model, you can try to train your models with PaddleVideo.
- `Example: Input a short video of swimming, the algorithm can output the result of "swimming"` - `Example: Input a short video of swimming, the algorithm can output the result of "swimming"`
<div align="center"> <div align="center">
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