Please see https://tesseract-ocr.github.io/tessdoc/Data-Files-in-tessdata_fast.html
Version string:4.00.00alpha:tir:synth20170629 LSTM training info:Network str:[1,36,0,1Ct3,3,16Mp3,3Lfys48Lfx96Lrx96Lfx128O1c1], flags=41, iteration=10498000, sample_iteration=10498000, null_char=267, learning_rate=0.001, momentum=0.5, adam_beta=0.999 On Wed, Aug 5, 2020 at 8:49 AM Biniam <bini...@gmail.com> wrote: > For language tir (which has over 350 characters) only 272 are included in > the existing lstm tir.traineddata. I have a file with all the missing > charset included and I have a training text. I want to recreate > tir.traineddata but I could not find the exact commands and parameters used > to make it. > > Basically, how to compile > https://github.com/tesseract-ocr/langdata_lstm/tree/master/tir so I can > get the same output as > https://github.com/tesseract-ocr/tessdata_best/blob/master/tir.traineddata > > > I followed the documentation in > https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.html to > train from scratch and come up with a set of commands shown here > https://github.com/TigrinyaNLP/Tigrinya-tasseract-ocr/blob/master/bin/train_from_scrach.sh > > But the final result is not that good. for example, I used > --max_iterations 50000 and net_spec '[1,36,0,1 Ct3,3,16 Mp3,3 Lfys48 > Lfx96 Lrx96 Lfx256 O1c352] but this parameters are copied from the eng > example and may not be good fit for 'tir'. I would appreciate it if someone > could tell me what commands are used to build tir.traineddata in > tessdata_best. > > I know I could use fine-tune or adding the missing chars instead of > building from scratch, but I have more things to modify (like adding > wordlist, and other improvements, fonts) which will improve the quality of > 'tir' a lot. This language is not that big and it should not be a big task > as rebuilding 'eng'. > > Thanks, > Biniam > > > -- > 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/1b43703e-2816-40f0-8a23-41b2ed10c4eao%40googlegroups.com > <https://groups.google.com/d/msgid/tesseract-ocr/1b43703e-2816-40f0-8a23-41b2ed10c4eao%40googlegroups.com?utm_medium=email&utm_source=footer> > . > -- ____________________________________________________________ भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com -- 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/CAG2NduX4Ui2Dz_GouBKxiLBb9fX4neOxyD%3Da1J8OwsnLXFwAyQ%40mail.gmail.com.
