Thank you very much for your reply, your result is pretty good. You are right, I want to limit my unicharset. I want to ask you a few questions:
1.What pre-processing have you done? only Binarisation,Rotation and Deskewing? 2.From your result,chi_sim_tuned.txt, also contains some characters that do not in the train_text file,such as "二"，“》:”，why? 3. How to the choose the "max_iterations" value, I usually choose a large number for the first time such as 10000 to let the model under overfitting condition, then reduce the value gradually,make sure the model is good finally. Is there any good method to choose max_iterations? Shree Devi Kumar <[email protected]> 于2019年3月20日周三 上午11:18写道： > > ~/tesseract/src/training/tesstrain.sh \ > --fonts_dir ~/.fonts \ > --training_text ~/langdata/chi_sim/chi_sim_tuned.txt \ > --langdata_dir ~/langdata \ > --tessdata_dir ~/tessdata \ > --lang chi_sim --linedata_only \ > --noextract_font_properties \ > --exposures "0" \ > --workspace_dir ~/tmp \ > --save_box_tiff \ > --fontlist \ > "NSimSun" \ > "Arial Unicode MS" \ > "SimSun" \ > "Merchant Copy" \ > "Merchant Copy Doublesize" \ > "Noto Sans CJK SC" \ > "Noto Sans Mono CJK SC" \ > --output_dir ~/tesstutorial/chi_sim_trainnew > > > mkdir -p ~/tesstutorial/chi_sim_tuned_from_chi_sim > > combine_tessdata -e ~/tessdata_best/chi_sim.traineddata > ~/tesstutorial/chi_sim_tuned_from_chi_sim/chi_sim.lstm > > ~/tesseract/bin/src/training/lstmtraining \ > --model_output ~/tesstutorial/chi_sim_tuned_from_chi_sim/chi_sim_tuned \ > --continue_from ~/tesstutorial/chi_sim_tuned_from_chi_sim/chi_sim.lstm \ > --traineddata ~/tesstutorial/chi_sim_train/chi_sim/chi_sim.traineddata \ > --old_traineddata ~/tessdata_best/chi_sim.traineddata \ > --train_listfile ~/tesstutorial/chi_sim_train/chi_sim.training_files.txt \ > --debug_interval -1 \ > --max_iterations 3600 > > ~/tesseract/bin/src/training/lstmtraining \ > --stop_training \ > --continue_from > ~/tesstutorial/chi_sim_tuned_from_chi_sim/chi_sim_tuned_checkpoint \ > --traineddata ~/tesstutorial/chi_sim_train/chi_sim/chi_sim.traineddata \ > --model_output ~/tessdata_best/chi_sim_tuned.traineddata > > > On Wed, Mar 20, 2019 at 8:46 AM Shree Devi Kumar <[email protected]> > wrote: > >> Also, 10000 iterations for finetuning will lead to overfitting. >> >> I tried by using fewer fonts and adding a couple of English only fonts >> that match the typeface of the image you shared. The output is improved >> compared to tessdata_best. I assume that you want to limit your unicharset >> based on your training_text (numbers, some English letters and some >> Simplified Chinese characters). The image was pre-processed to B&W and >> deskewed. >> >> I found that --psm 6 gives worse results both for tessdata_best and >> finetuned, but the default psm gives better accuracy though there are >> multiple blank lines for extra columns identified in --psm 3. >> >> See attached: >> >> >> > > -- > > ____________________________________________________________ > 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 [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/CAG2NduUeONc98a%3DMiGE1Y1PGKK-Jb5vinDTPnEF%2BMvPUkT0nmw%40mail.gmail.com > <https://groups.google.com/d/msgid/tesseract-ocr/CAG2NduUeONc98a%3DMiGE1Y1PGKK-Jb5vinDTPnEF%2BMvPUkT0nmw%40mail.gmail.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/CAPiKE21ywZpg%2BRtGj2BK9XxV87ivycnhp8nvaGSguaD%3DtKUN7w%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
