Please see https://github.com/tesseract-ocr/tesseract/blob/master/doc/combine_tessdata.1.asc#components
ShreeDevi ____________________________________________________________ भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com On Fri, Mar 2, 2018 at 6:22 AM, 이경준 <[email protected]> wrote: > > Hi . Thank you for seeing my questions > > 1. What is difference between 'unicharset' and 'lstm-unicharset' ? > > I know to make 'unicharset' by command line : "$ tesseract > (lang).(filename).exp(num).tif (lang).(filename).exp(num).box > > But I don't know to make 'lstm-unicharset' ??? > > cf) .tr -> .lstmf > > I apply this command line = "$tesseract (lang).(filename).exp(num).tif > (lang).(filename).exp(num) nobatch *box.train*" to tesseract > (lang).(filename).exp(num).tif (lang).(filename).exp(num) nobatch > *lstm.train*" > > 2. This usage is right? > > Is it possible to apply 'unicharset' to 'lstm-unicharset' > > > > 3. In the github wiki passage > > Overview of Training Process > > The overall training process is similar to training 3.04 > <https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract>. > > Conceptually the same: > > 1. Prepare training text. > > <https://github.com/tesseract-ocr/tesseract/issues/654#issuecomment-274574951> > 2. Render text to image + box file. (Or create hand-made box files for > existing image data.) > 3. Make unicharset file. (Can be partially specified, ie created > manually). > 4. Make a starter traineddata from the unicharset and optional > dictionary data. > > <https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract-4.00#creating-starter-traineddata> > 5. Run tesseract to process image + box file to make training data set. > 6. Run training on training data set. > 7. Combine data files. > > The key differences are: > > - The boxes only need to be at the *textline level.* It is thus *far > easier* to make training data from existing image data. > - The .tr files are replaced by .lstmf data files. > - Fonts *can and should be mixed freely* instead of being separate. > - The clustering steps (mftraining, cntraining, shapeclustering) are > replaced with a single slow lstmtraining step. > > > I think that In The key differecen section "unicharset" are replace by > "lstm-unicharset" - sentence is added > > Am I false???? > > > > I wait everybody's answers > > Thank U. Have a nice day! > > -- > 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/5730b272-043b-4abe-8d85-b8f4d96aad33% > 40googlegroups.com > <https://groups.google.com/d/msgid/tesseract-ocr/5730b272-043b-4abe-8d85-b8f4d96aad33%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/CAG2NduVGeZ4kPvWmOu6f3RG8Z9i-TT_iBeGHjAF5Ciu7t0Dtdw%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
