With the help of state-of-the-art deep learning models, Layout Parser enables extracting complicated document structures using only several lines of code. This method is also more robust and generalizable as no sophisticated rules are involved in this process. A complete instruction for installing the main Layout Parser library and auxiliary components. Learn how to load DL Layout models and use them for layout detection. The full list of layout models currently available in Layout Parser. After several major updates, layoutparser provides various functionalities and deep learning models from different backends. But it still easy to install layoutparser, and we designed the installation method in a way such that you can choose to install only the needed dependencies for your project. LayoutParser is also a open platform that enables the sharing of layout detection models and DIA pipelines among the community.

Features

  • Perform DL layout detection in 4 lines of code
  • Selecting layout/textual elements in the left column of a page
  • Performing OCR for each detected Layout Region
  • Flexible APIs for visualizing the detected layouts
  • Loading layout data stored in json, csv, and even PDFs
  • LayoutParser is also a open platform that enables the sharing of layout detection models and DIA pipelines among the community.

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License

Apache License V2.0

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Additional Project Details

Programming Language

Python

Related Categories

Python Machine Learning Software, Python OCR Software, Python Deep Learning Frameworks

Registered

2022-08-04