📚 Process PDFs, Word documents and more with spaCy
Detectron2 for Document Layout Analysis
Trained Detectron2 object detection models for document layout analysis based on PubLayNet dataset
Proof of concept of training a simple Region Classifier using PdfPig and ML.NET (LightGBM). The objective is to classify each text block in a pdf document page as either title, text, list, table and image.
Trained Detectron2 object detection models for document layout analysis based on PubLayNet dataset
A collection of machine learning apis in fastapi, can be deployed with uvicorn, hypercorn or docker
Enable the line numbering and implement the LayoutVisitor to count rows in a document.
Obtain document layout elements located under the mouse pointer and show information in the tooltip
Add a description, image, and links to the document-layout topic page so that developers can more easily learn about it.
To associate your repository with the document-layout topic, visit your repo's landing page and select "manage topics."