#🔒 How to extract non-obvious sub-parts of graphs inside a PDF?

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earnest perch
#

Examples:

  • picture n1: this is a random page from a PDF, it shows 6 different pictures. Getting all of them together as 1 is not an issue;
  • picture n2: this is a non-obvious part of the top-right graph, I have no idea how to tackle this
  • picture n3: this is a more obvious part of the bottom-left graph, easier to extract, but when doing so I still get the "noise text" from the graph on the right, as there is some coordinates overlap. I have no idea how to tackle this.

Not looking for the coding solution (although of course, it would help lol), but I'd highly appreciate:

  • mental framework on how to divide the problem into subproblems
  • any tools that I can use? (ie. unstructured.io is not great for this)
  • any technologies or specific ML/computer vision libraries I can look into?

Thanks:)

n1.png n2.png n3.png
late pierBOT
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@earnest perch

Python help channel opened

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late pierBOT
#

@earnest perch

Python help channel closed

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