Name | simplelatexocr JSON |
Version |
0.0.6
JSON |
| download |
home_page | |
Summary | A simple LaTeX OCR package |
upload_time | 2024-03-11 10:39:37 |
maintainer | |
docs_url | None |
author | chaodreaming |
requires_python | >=3.8 |
license | Apache-2.0 |
keywords |
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VCS |
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bugtrack_url |
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requirements |
No requirements were recorded.
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Travis-CI |
No Travis.
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coveralls test coverage |
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# Simple-LaTeX-OCR
The encoder is resnetv2+simplevit, the decoder is transformer, the attention mechanism uses flashattention2.0 from pytorch2.0, and the dataset size is 112 million
Install the package `simplelatexocr`:
```
pip install simplelatexocr
```
Use from within Python
from simplelatexocr.models import Latex_OCR
model = Latex_OCR()
img_path = "tests/test_files/5.png"
result = model.predict(img_path)
print(result['formula'])
print(result['confidence'])
print(result['elapse'])
## Contribution
Contributions of any kind are welcome.
## Acknowledgment
Code taken and modified from [lukas-blecher](https://github.com/lukas-blecher/LaTeX-OCR), [RapidAI](https://github.com/RapidAI/RapidLaTeXOCR),[ultralytics](https://github.com/ultralytics/ultralytics)
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