A simple LaTeX OCR package
Project description
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
Online experience
https://huggingface.co/spaces/chaodreaming/Simple-LaTeX-OCR
Install the package simple_latex_ocr
:
pip install simple_latex_ocr
Use from within Python
from simple_latex_ocr.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'])
Used by command line
$ simple_latex_ocr tests/test_files/2.png
Used by api
$ python -m simple_latex_ocr.api.run
#You can use test.py to initiate a request for verification
Contribution
Contributions of any kind are welcome.
Acknowledgment
Code taken and modified from lukas-blecher, RapidAI,ultralytics
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
simple_latex_ocr-0.0.5.tar.gz
(16.1 kB
view hashes)
Built Distribution
Close
Hashes for simple_latex_ocr-0.0.5-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0f107c9c85211493f79c9895a340f8b719c339413ef8ecc1ff6daabb154b4272 |
|
MD5 | 11f4ddb0f49c8399ed818452632e6409 |
|
BLAKE2b-256 | 15317b16e16454a186595822cabe830c945c8a6535306e5d485705169ae66426 |