Please read the wiki page regarding training 4.0 and the presentation files in docs by Ray Smith.
On Tue, 30 Oct 2018, 02:32 bruce, <[email protected]> wrote: > thank you for your reply ,shree. > I've seen the training_text and the list of fonts. > I will try again. > Before I start my next Scratch training,I want to ask some questions as > follows. > > 1.Is the training_text containing more characters, the better the training > results? Is there an upper limit? > > 2.Whether the more fonts are used, the better the training results will be？ > > 3.I find that the official text contains not only Chinese characters, but > also English characters and numbers. > If I will use the command like this: tesseract.exe test.png > c:\dir\test -l eng+chi_sim > Is it better for me to train a training_text with pure Chinese > characters? > > > 在 2018年10月30日星期二 UTC+8上午2:43:05，shree写道： >> >> https://github.com/tesseract-ocr/langdata_lstm/tree/master/chi_sim >> >> On Mon, 29 Oct 2018, 14:41 Shree Devi Kumar, <[email protected]> wrote: >> >>> Please look at the langdata_lstm repo, specifically the chi_sim folder. >>> It has the training_text as well as list of fonts used for LSTM training. >>> >>> On Mon, 29 Oct 2018, 05:40 bruce, <[email protected]> wrote: >>> >>>> Recently,I'm using tesseract training my chi_sim language. I want to >>>> train a chi_sim.traineddata better than the official one. >>>> I have generated a 82915-characters training data.And trained it with 7 >>>> common fonts。 >>>> After 4434207 iterations ，the train rate is lower than 0.016% ，But the >>>> recognition effect is much worse than the official training library. >>>> >>>> so，I'm confused... >>>> >>>> How to improve the quality of Training？ >>>> Do I need more training data for more training fonts?What is the right >>>> amount? >>>> I want to know the training data of the official training library and >>>> the font range of the official training library. >>>> >>>> -- >>>> 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 [email protected]. >>>> To post to this group, send email to [email protected]. >>>> Visit this group at https://groups.google.com/group/tesseract-ocr. >>>> To view this discussion on the web visit >>>> https://groups.google.com/d/msgid/tesseract-ocr/a7acc320-67f6-42b3-b2c8-99d3db6de7e6%40googlegroups.com >>>> <https://groups.google.com/d/msgid/tesseract-ocr/a7acc320-67f6-42b3-b2c8-99d3db6de7e6%40googlegroups.com?utm_medium=email&utm_source=footer> >>>> . >>>> For more options, visit https://groups.google.com/d/optout. >>>> >>> -- > 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 [email protected]. > To post to this group, send email to [email protected]. > Visit this group at https://groups.google.com/group/tesseract-ocr. > To view this discussion on the web visit > https://groups.google.com/d/msgid/tesseract-ocr/501bdf42-ee5a-4a2e-92ce-8dbac2cc42be%40googlegroups.com > <https://groups.google.com/d/msgid/tesseract-ocr/501bdf42-ee5a-4a2e-92ce-8dbac2cc42be%40googlegroups.com?utm_medium=email&utm_source=footer> > . > For more options, visit https://groups.google.com/d/optout. > -- 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 [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/tesseract-ocr. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/CAG2NduWC65_Z2cDV2%3DS-4cDjQmhuq-te%2ByJBB35mZ0aaNxas0Q%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
