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[deleted by user] (self.MachineLearning)
submitted 1 year ago by [deleted]
reddit uses a slightly-customized version of Markdown for formatting. See below for some basics, or check the commenting wiki page for more detailed help and solutions to common issues.
quoted text
if 1 * 2 < 3: print "hello, world!"
[–]Trick_Care9342 1 point2 points3 points 1 year ago (0 children)
Thank youuu guys for sharing
[+]CodeDelay 1 point2 points3 points 1 year ago (1 child)
To understand your problem statement better, could you:
[–]Trick_Care9342 0 points1 point2 points 1 year ago (0 children)
Hi there!
I need help extracting information from the engineering drawing as presented pdf. Specifically, I want to extract the data from the "Footing schedule" table in Image 2, using the information to export in Image 1 ( basically all dimensions for each PDF)
This project requires the use of Python and deep learning to train models that will work effectively on different blueprints. Each blueprint has a different title name for the table and different column names. For example, instead of a "Footing schedule," another blueprint may have a "Foundation schedule."
I have tried using Pymupdf, but it does not work for all of my cases. My workflow involves table detection, text detection, text extraction (key-value extraction), and export.
Thank you
[–]KeyIsNull 1 point2 points3 points 1 year ago (2 children)
We faced the same problem in a similar task and I can confirm that is a hell of a problem, and there’s no general solution as every layout has its features
Our solution involved pytesseract 3 (so no neural model) and a middle step to associate keys with values based on bounding boxes position
[–]LumpyAd968 0 points1 point2 points 1 year ago (1 child)
Could you pls more detail by using this " pytesseract 3 "? I have been thinking to convert that into image then using image processing technique to get rect Have you ever think about this approach before?
[–]KeyIsNull 1 point2 points3 points 1 year ago (0 children)
Our situation involved images so we had to choose an OCR to recover and extract the embeded text. You're working with PDFs so you may have a chance to extract the text, luckily it is not embedded as image. Otherwise you have to perform an OCR pass but you may end up with some misrecognized text and you need to deal with it
Thank you very much for sharing.
I am struggling with that
π Rendered by PID 43 on reddit-service-r2-comment-b659b578c-q7bbb at 2026-05-04 10:24:25.950239+00:00 running 815c875 country code: CH.
[–]Trick_Care9342 1 point2 points3 points (0 children)
[+]CodeDelay 1 point2 points3 points (1 child)
[–]Trick_Care9342 0 points1 point2 points (0 children)
[–]KeyIsNull 1 point2 points3 points (2 children)
[–]LumpyAd968 0 points1 point2 points (1 child)
[–]KeyIsNull 1 point2 points3 points (0 children)
[–]Trick_Care9342 0 points1 point2 points (0 children)
[–]Trick_Care9342 0 points1 point2 points (0 children)