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vahidrezanezhad avatar vahidrezanezhad commented on June 9, 2024

Dear Aysoltan,

  1. It seems you are running Eynollah on CPU. GPU can accelerate the analysis.
  2. About the reading order , if you provide me the document and the output xml then I may help you more.

Regards

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Aysoltan avatar Aysoltan commented on June 9, 2024

Hi Vahid,

if you could give me please your email adress, i will send you the files. The workflow I used for is:

ocrd-olena-binarize -I OCR-D-IMG -O OCR-D-BIN
ocrd-eynollah-segment -I OCR-D-BIN -O OCR-D-SEG -P models default
ocrd-tesserocr-recognize -I OCR-D-SEG -O OCR-D-OCR-TESSEROCR -P model deu

Best,
Aysoltan

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cneud avatar cneud commented on June 9, 2024

Hi @Aysoltan, has this been sufficiently addressed, i.e. can we close here?

Also, @vahidrezanezhad now provided an extra "light version" (cf. https://github.com/qurator-spk/eynollah/tree/eynollah_light) which - in case of fairly simple images - will provide a signficant boost to processing speed without much loss of quality.

Edit: to use the "light version", the trained model from here must be used.

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Aysoltan avatar Aysoltan commented on June 9, 2024

Many thanks!

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cneud avatar cneud commented on June 9, 2024

I take that as a yes ;-)

If problems persist, feel free to re-open or file a new issue.

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