Environment - *Tesseract Version*: 5.0.1-1.5.7, Tessdata: 3.04, Langdata: 3.04 - *Platform*: 21.5.0 Darwin Kernel Version 21.5.0: root:xnu-8020.121.3~4/RELEASE_X86_64 x86_64 i386 Darwin
Current Behavior: Tesseract is unable to differentiate between font weights. After training a font, in the project, there are varying font weights used from 100, 200, to 900. Are there provisions for how to get font-weight as attributes as it only returns bold? There is no way to check the weights. Passport <https://user-images.githubusercontent.com/1056293/205259076-50d3e944-97ea-4370-b0e0-1c17e4ae75f3.png> Secondly, Tesseract seems unstable in predictions. I have done all that has been recommended to improve accuracy and yet the prediction seems indefinite. The image above is a prime example, there are times it'll see it as bold, which is correct. In the next run, it might start seeing it as a normal font. The font-weight is 700, which interprets as bold. I have run the same test case more than 10 times, and the result could be bold=6, normalfont=4. Expected Behavior: It should be consistent in prediction and differentiate between font-weights. -- You received this message because you are subscribed to the Google Groups "tesseract-ocr" group. To unsubscribe from this group and stop receiving emails from it, send an email to tesseract-ocr+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/bdc26147-d463-42ab-bc41-0c8de16654dan%40googlegroups.com.
