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@@ -13,7 +13,7 @@ tags:
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  <h1>General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
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  </h1>
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- [GitHub](https://github.com/Ucas-HaoranWei/GOT-OCR2.0/) | [Paper](https://arxiv.org/abs/2409.01704)</a>
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  [Haoran Wei*](https://scholar.google.com/citations?user=J4naK0MAAAAJ&hl=en), Chenglong Liu*, Jinyue Chen, Jia Wang, Lingyu Kong, Yanming Xu, [Zheng Ge](https://joker316701882.github.io/), Liang Zhao, [Jianjian Sun](https://scholar.google.com/citations?user=MVZrGkYAAAAJ&hl=en), [Yuang Peng](https://scholar.google.com.hk/citations?user=J0ko04IAAAAJ&hl=zh-CN&oi=ao), Chunrui Han, [Xiangyu Zhang](https://scholar.google.com/citations?user=yuB-cfoAAAAJ&hl=en)
@@ -58,7 +58,8 @@ res = model.chat(tokenizer, image_file, ocr_type='ocr')
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  # res = model.chat(tokenizer, image_file, ocr_type='format', ocr_color='')
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  # multi-crop OCR:
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- # res = model.chat_crop(tokenizer, image_file = image_file)
 
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  # render the formatted OCR results:
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  # res = model.chat(tokenizer, image_file, ocr_type='format', render=True, save_render_file = './demo.html')
 
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  <h1>General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
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  </h1>
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+ [Online Demo](https://huggingface.co/spaces/ucaslcl/GOT_online) | [GitHub](https://github.com/Ucas-HaoranWei/GOT-OCR2.0/) | [Paper](https://arxiv.org/abs/2409.01704)</a>
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  [Haoran Wei*](https://scholar.google.com/citations?user=J4naK0MAAAAJ&hl=en), Chenglong Liu*, Jinyue Chen, Jia Wang, Lingyu Kong, Yanming Xu, [Zheng Ge](https://joker316701882.github.io/), Liang Zhao, [Jianjian Sun](https://scholar.google.com/citations?user=MVZrGkYAAAAJ&hl=en), [Yuang Peng](https://scholar.google.com.hk/citations?user=J0ko04IAAAAJ&hl=zh-CN&oi=ao), Chunrui Han, [Xiangyu Zhang](https://scholar.google.com/citations?user=yuB-cfoAAAAJ&hl=en)
 
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  # res = model.chat(tokenizer, image_file, ocr_type='format', ocr_color='')
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  # multi-crop OCR:
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+ # res = model.chat_crop(tokenizer, image_file, ocr_type='ocr')
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+ # res = model.chat_crop(tokenizer, image_file, ocr_type='format')
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  # render the formatted OCR results:
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  # res = model.chat(tokenizer, image_file, ocr_type='format', render=True, save_render_file = './demo.html')