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v0.3.0: Multi-backend Support, Additional Models, Better Visualizations, and many more
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@lolipopshock lolipopshock released this 13 Sep 19:44
v0.3.0
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We are excited to release LayoutParser v0.3.0, with a lot of exciting updates and functional improvements.

New Features

  • The biggest change in this version is that LayoutParser now supports multiple deep learning backends: Detectron2, effdet, and paddledetection. This allows for more flexible usage of the layoutparser library, and makes it easier for implementing customized layout models in the future. #54 #67
  • Additionally, the newly added AutoModel and improved model configuration parsing makes it easier load and use the layout detection models. #69
    • e.g, model = lp.AutoLayoutModel("lp://efficientdet/PubLayNet").
  • To support this multi-backend framework, we implement the dynamic importing mechanism as well as better ways for installing layoutparser and the needed dependencies (see instructions). #65 #68
  • And now layoutparser supports directly loading PDF files into as layout objects: #71 
    import layoutparser as lp
pdf_layout, pdf_images = lp.load_pdf("path/to/pdf", load_images=True)
lp.draw_box(pdf_images[0], pdf_layout[0])
  • To support more flexible processing of the layout objects, a set of new toolkits are available: #72 
    import layout parser as lp
page_layout = lp.load_pdf("tests/fixtures/io/example.pdf")[0]
pdf_lines = lp.simple_line_detection(page_layout)

New Models

  • Add MFD model that can detect (display) equation regions within scientific documents #59
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