Commit Β·
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Parent(s): c13c3aa
docs: Update README and refresh asset images
Browse files- README.md +1 -14
- assets/art.png +2 -2
- assets/chart.png +2 -2
- assets/chart2.png +2 -2
- assets/formula.png +2 -2
- assets/handwriting.png +2 -2
- assets/hierarchical.png +0 -3
- assets/hierarchical2.png +0 -3
- assets/printed.png +2 -2
- assets/seal.png +0 -3
- assets/wired.png +2 -2
- assets/wireless.png +2 -2
README.md
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# <img src="assets/youtu-parsing-logo.png" alt="Youtu-Parsing Logo" height="100px">
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[π License](https://huggingface.co/tencent/Youtu-Parsing/blob/main/LICENSE.txt) β’ [π» Code](https://github.com/TencentCloudADP/youtu-parsing) β’ [π Benchmarks](#benchmarks) β’ [π Getting Started](#quickstart)
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</div>
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<img src="./assets/chart2.png" width="800"/>
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</div>
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### Seal Recognition
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<div align="center">
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<img src="./assets/seal.png" width="800"/>
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</div>
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### Hierarchical Structure Analysis
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<div align="center">
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<img src="./assets/hierarchical.png" width="800"/>
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</div>
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<div align="center">
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<img src="./assets/hierarchical2.png" width="800"/>
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</div>
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## π€ Acknowledgements
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We would like to thank [Youtu-LLM](https://github.com/TencentCloudADP/youtu-tip/tree/master/youtu-llm), [OmniDocBench](https://github.com/opendatalab/OmniDocBench), [olmOCR](https://github.com/allenai/olmocr), [dots.ocr](https://github.com/rednote-hilab/dots.ocr), [MinerU](https://github.com/opendatalab/MinerU), [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR), [PSENet](https://github.com/whai362/PSENet) for providing model weights, benchmarks and valuable code. We also appreciate everyone's contribution to this open-source project!
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# <img src="assets/youtu-parsing-logo.png" alt="Youtu-Parsing Logo" height="100px">
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[π License](https://huggingface.co/tencent/Youtu-Parsing/blob/main/LICENSE.txt) β’ [π¨βπ» Code](https://github.com/TencentCloudADP/youtu-parsing) β’ [π₯οΈ Demo](https://huggingface.co/spaces/Tencent/Youtu-Parsing) β’ [π Benchmarks](#benchmarks) β’ [π Getting Started](#quickstart)
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</div>
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<img src="./assets/chart2.png" width="800"/>
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</div>
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## π€ Acknowledgements
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We would like to thank [Youtu-LLM](https://github.com/TencentCloudADP/youtu-tip/tree/master/youtu-llm), [OmniDocBench](https://github.com/opendatalab/OmniDocBench), [olmOCR](https://github.com/allenai/olmocr), [dots.ocr](https://github.com/rednote-hilab/dots.ocr), [MinerU](https://github.com/opendatalab/MinerU), [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR), [PSENet](https://github.com/whai362/PSENet) for providing model weights, benchmarks and valuable code. We also appreciate everyone's contribution to this open-source project!
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assets/art.png
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