No，I want to fine tuning using actual images. suraa syss <suras...@gmail.com> 于2019年4月19日周五 下午7:07写道：
> you want to prepare unicharset before lstm training > > On Thursday, 18 April 2019 14:49:20 UTC+5:30, yixinl...@gmail.com wrote: >> >> Hello,everyone: >> I have used tesseract 4.0 to train a chi_sim model,but the result is >> not so good as I expected,So I think out one way for fine tuning. >> >> 1.src/training/tesstrain.sh --fonts_dir /usr/share/fonts --training_text >> ../training_data/chi_sim_layer_training_text \ >> --langdata_dir ../langdata_lstm --tessdata_dir ./tessdata --lang chi_sim >> --linedata_only --noextract_font_properties --exposures "0" \ >> --maxpages 0 \ >> --workspace_dir ~/share/workspace/tmp \ >> --save_box_tiff \ >> --fontlist "NSimSun" \ >> "Times New Roman" \ >> "Arial Unicode MS" \ >> "SimSun" \ >> "Noto Sans CJK SC" \ >> "Noto Sans Mono CJK SC" \ >> --output_dir ~/tesstutorial/chi_sim_train \ >> --overwrite >> >> 2. mkdir -p ~/tesstutorial/chi_sim_layer_from_chi_sim >> >> 3.combine_tessdata -e ../tessdata_best/chi_sim.traineddata >> ~/tesstutorial/chi_sim_layer_from_chi_sim/chi_sim.lstm >> >> 4.lstmtraining --model_output >> ~/tesstutorial/chi_sim_layer_from_chi_sim/chi_sim_layer \ >> --continue_from ~/tesstutorial/chi_sim_layer_from_chi_sim/chi_sim.lstm \ >> --traineddata ~/tesstutorial/chi_sim_train/chi_sim/chi_sim.traineddata \ >> --old_traineddata ../tessdata_best/chi_sim.traineddata \ >> --append_index 5 --net_spec '[Lfx192 O1c1]' \ >> --train_listfile ~/tesstutorial/chi_sim_train/chi_sim.training_files.txt \ >> --max_iterations 40000 >> >> 5.lstmtraining --stop_training --continue_from >> ~/tesstutorial/chi_sim_layer_from_chi_sim/chi_sim_layer_checkpoint \ >> --traineddata >> ~/tesstutorial/chi_sim_train/chi_sim/chi_sim.traineddata --model_output >> ~/tesstutorial/chi_sim_layer_from_chi_sim/chi_sim_layer.traineddata >> >> The steps above is the normal way, then I continue fine tuning based on >> the chi_sim_layer.traineddata which is obtain before. >> >> Then use the OCR-D https://github.com/OCR-D/ocrd-train for fine tuning. >> >> 6. Prepare ground-truth files(include tif and txt file). >> 7. Modify the Makefile in the OCR-D to satisfy my need. >> 8. make training >> >> Can I use this way,Please check whether it is feasible ? >> >> Thank you in advance.Sorry for my poor English. >> >> >> >> >> >> >> -- > 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 post to this group, send email to tesseract-ocr@googlegroups.com. > 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/c09249de-79ff-4499-bd92-d459f99321e9%40googlegroups.com > <https://groups.google.com/d/msgid/tesseract-ocr/c09249de-79ff-4499-bd92-d459f99321e9%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 tesseract-ocr+unsubscr...@googlegroups.com. To post to this group, send email to tesseract-ocr@googlegroups.com. 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/CAPiKE20QBtNLvg588gOcieBvAZsdEBkZfyDwfULpOJPgHnT%3Dtw%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
