Update README.md
Browse files
README.md
CHANGED
@@ -13,7 +13,7 @@ tags:
|
|
13 |
<h1>General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
|
14 |
</h1>
|
15 |
|
16 |
-
[GitHub](https://github.com/Ucas-HaoranWei/GOT-OCR2.0/) | [Paper](https://arxiv.org/abs/2409.01704)</a>
|
17 |
|
18 |
|
19 |
[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')
|
|
58 |
# res = model.chat(tokenizer, image_file, ocr_type='format', ocr_color='')
|
59 |
|
60 |
# multi-crop OCR:
|
61 |
-
# res = model.chat_crop(tokenizer, image_file =
|
|
|
62 |
|
63 |
# render the formatted OCR results:
|
64 |
# res = model.chat(tokenizer, image_file, ocr_type='format', render=True, save_render_file = './demo.html')
|
|
|
13 |
<h1>General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
|
14 |
</h1>
|
15 |
|
16 |
+
[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>
|
17 |
|
18 |
|
19 |
[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 |
# res = model.chat(tokenizer, image_file, ocr_type='format', ocr_color='')
|
59 |
|
60 |
# multi-crop OCR:
|
61 |
+
# res = model.chat_crop(tokenizer, image_file, ocr_type='ocr')
|
62 |
+
# res = model.chat_crop(tokenizer, image_file, ocr_type='format')
|
63 |
|
64 |
# render the formatted OCR results:
|
65 |
# res = model.chat(tokenizer, image_file, ocr_type='format', render=True, save_render_file = './demo.html')
|