OhMyTable
Install
pip install ohmytable
Quick Start
Use as a package
from ohmytable import OhMyTable
image_path = "/path/to/your_image_contains_table"
ohmytable = OhMyTable(device="cpu") # cpu/mps/cuda
htmls = ohmytable(image_path)
# The entire pipeline outputs table structure represented in HTML.
print(htmls)
# Visualize and save the results of all models in the pipeline.
from ohmytable.callback import VisualizeCallback
ohmytable(image_path, callbacks=[VisualizeCallback(image_path, "./tmp")])
Start a gradio web demo:
git clone https://github.com/Sanster/OhMyTable.git
cd OhMyTable
pip install gradio typer
python3 gradio_demo.py
Limitation
- Table Structure Recognition model is trained with max output length 1024(about 150 table cell boxes.)
- The model effect will be better with less padding around the table image.
Acknowledgement
1 maintainer
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