https://github.com/tesseract-ocr/tessdoc/blob/main/Data-Files-in-tessdata_best.md
https://github.com/tesseract-ocr/tessdoc/blob/main/Data-Files-in-tessdata_fast.md Version string : 4.00.00alpha : [Network specification] for tessdata_best tessdata_best models - *incomplete list*, only till Kannada. The flags are TrainingFlags from lstmrecognizer.h. 0x40 is compress unicharset and 1 is integer mode. The one from best has flags 40 = compress + not integer mode. afr Version string:4.00.00alpha:afr:synth20170629:[1,36,0,1Ct3,3,16Mp3,3Lfys64Lfx96Lrx96Lfx512O1c1] LSTM training info:Network str:[1,36,0,1Ct3,3,16Mp3,3Lfys64Lfx96Lrx96Lfx512O1c1], flags=40, iteration=286700, sample_iteration=286724, null_char=95, learning_rate=0.001, momentum=0.5, adam_beta=0.999 amh Version string:4.00.00alpha:amh LSTM training info:Network str:[1,36,0,1Ct3,3,16Mp3,3Lfys48Lfx96Lrx96Lfx192O1c1], flags=40, iteration=6112200, sample_iteration=6112270, null_char=284, learning_rate=0.001, momentum=0.5, adam_beta=0.999 On Fri, Sep 15, 2023, 9:50 PM Des Bw <desaleg...@gmail.com> wrote: > For the last couple of days, I have been trying to train the amh data to > include some missing characters. > > I have seen that Shree was able to add the Norwegian Æ by removing the > top layer and training on it ( > https://groups.google.com/g/tesseract-ocr/c/l33zsTEPj70/m/wPzPv6HiEQAJ). > > I was trying to do the same. But, the traineddata in Amharic doesn't > contain the net_spec information with the version line. > > Version:4.00.00alpha:amh:synth20170629 > > 17:lstm:size=3356155, offset=192 > > 18:lstm-punc-dawg:size=3154, offset=3356347 > > 19:lstm-word-dawg:size=5007810, offset=3359501 > > 20:lstm-number-dawg:size=810, offset=8367311 > > 21:lstm-unicharset:size=18906, offset=8368121 > > 22:lstm-recoder:size=2578, offset=8387027 > > 23:version:size=30, offset=8389605 > > > Can sb (@Shree, please) help me on how to get the net_spec, or how to > proceed to add a layer to introduce the missing characters? > > -- > 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/5bedab52-2f9b-44ab-a97a-e2033d0e92den%40googlegroups.com > <https://groups.google.com/d/msgid/tesseract-ocr/5bedab52-2f9b-44ab-a97a-e2033d0e92den%40googlegroups.com?utm_medium=email&utm_source=footer> > . > -- 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/CAG2NduU-WURDUWPPNvFFcHzgpef19wVs8Dsh281fgy0ShHbj4w%40mail.gmail.com.
