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monniert avatar monniert commented on June 16, 2024 2

Hi SB2020-eye, indeed I didn't provide much details about the quality of extracted elements, but I can understand lossless extractions are key when working with HD documents:

  • the prediction is made at a resolution within 1280x1280 but is then upsampled to match original image dimensions, so the crops are made at full resolution wrt the original image,
  • there may be some loss when saving the crop image to disk, especially when saving as a jpg file. There are 2 main options that you can try to avoid losing too much information: i) play with PIL save function arguments (line 96-97 in extractor.py), you can start by setting quality=95 and look at the results (see here for more information), ii) save images in a lossless format like png, you can do that by passing out_ext='png' when instanciating the Extractor (line 212, extractor.py)

Be aware it will take much more space than compressed jpg images, I hope this helps!

from docextractor.

SB2020-eye avatar SB2020-eye commented on June 16, 2024

This is all very helpful, indeed! Thank you so much!

from docextractor.

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