tesseract -v tesseract 4.00.00dev-594-g044e06e-2085 leptonica-1.74.4 libjpeg 8d (libjpeg-turbo 1.3.0) : libpng 1.2.50 : libtiff 4.0.3 : zlib 1.2.8
Found AVX Found SSE The above version is working ok on linux nice lstmtraining \ --old_traineddata ../tessdata/best/san.traineddata \ --continue_from ../tessdata/best/san.lstm \ --traineddata ../tesstutorial/vedic/san/san.traineddata \ --train_listfile ../tesstutorial/vedic/san.training_files.txt \ --eval_listfile ../tesstutorial/vedic/san.eval_files.txt \ --model_output ../tesstutorial/vedic/santune \ --max_iterations 200 \ --debug_interval 0 Loaded file ../tessdata/best/san.lstm, unpacking... Warning: LSTMTrainer deserialized an LSTMRecognizer! Code range changed from 145 to 2308!! Num (Extended) outputs,weights in Series: 1,36,0,1:1, 0 Num (Extended) outputs,weights in Series: C3,3:9, 0 Ft16:16, 160 Total weights = 160 [C3,3Ft16]:16, 160 Mp3,3:16, 0 Lfys48:48, 12480 Lfx96:96, 55680 Lrx96:96, 74112 Lfx192:192, 221952 Fc2308:2308, 445444 Total weights = 809828 Previous null char=2 mapped to 2 Continuing from ../tessdata/best/san.lstm Loaded 138/138 pages (1-138) of document ../tesstutorial/vedic/san.AA_ NAGARI_SHREE_L3.exp0.lstmf Loaded 138/138 pages (1-138) of document ../tesstutorial/vedic/san.AA_ NAGARI_SHREE_L3.exp-1.lstmf Loaded 138/138 pages (1-138) of document ../tesstutorial/vedic/san. Adobe_Devanagari.exp-2.lstmf Loaded 138/138 pages (1-138) of document ../tesstutorial/vedic/san. Adobe_Devanagari.exp1.lstmf ShreeDevi ____________________________________________________________ भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com On Sat, Aug 5, 2017 at 6:43 PM, ShreeDevi Kumar <shreesh...@gmail.com> wrote: > did you build the training tools again? > > > ShreeDevi > ____________________________________________________________ > भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com > > On Sat, Aug 5, 2017 at 6:37 PM, Ava Nimaee <beigy.zoh...@gmail.com> wrote: > >> yes, you said me and i clone last tesseract-master and insatll it and >> leptoica again and make tiff and box file and unicharest and then use this >> syntax: >> training/tesstrain.sh \ >> --fonts_dir /usr/share/fonts \ >> --lang eng \ >> --training_text langdata/eng/eng.training_text \ >> --linedata_only \ >> --noextract_font_properties --langdata_dir langdata \ >> --tessdata_dir ./tessdata \ >> --fontlist "Times New Roman," \ >> --output_dir tesstutorial/engtrian >> ------------------------------------------------------------ >> training/tesstrain.sh \ >> --fonts_dir /usr/share/fonts \ >> --lang eng \ >> --training_text langdata/eng/eng.training_text \ >> --linedata_only \ >> --noextract_font_properties --langdata_dir langdata \ >> --tessdata_dir ./tessdata \ >> --output_dir tesstutorial/engeval >> and finally i use the last code that i said took error. >> and for last syntax i put langdata/eng on folder of engtrian >> >> >> On Saturday, August 5, 2017 at 5:28:48 PM UTC+4:30, shree wrote: >>> >>> Are you using the latest source of programs from github for building >>> tesseract? >>> >>> ShreeDevi >>> ____________________________________________________________ >>> भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com >>> >>> On Sat, Aug 5, 2017 at 6:21 PM, Ava Nimaee <beigy....@gmail.com> wrote: >>> >>>> Hi >>>> i used this syntax: >>>> >>>> training/lstmtraining --debug_interval 100 \ >>>> --traineddata ~/tesstutorial/engtrain/eng/eng.traineddata \ >>>> --net_spec '[1,36,0,1 Ct3,3,16 Mp3,3 Lfys48 Lfx96 Lrx96 Lfx256 O1c111]' \ >>>> --model_output ~/tesstutorial/engoutput/base --learning_rate 20e-4 \ >>>> --train_listfile ~/tesstutorial/engtrain/eng.training_files.txt \ >>>> --eval_listfile ~/tesstutorial/engeval/eng.training_files.txt \ >>>> --max_iterations 5000 &>~/tesstutorial/engoutput/basetrain.log >>>> >>>> and put eng.traineddata on right path but has an error: >>>> >>>> ERROR: Non-existent flag --traineddata >>>> >>>> can you help me? >>>> >>>> -- >>>> 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-oc...@googlegroups.com. >>>> To post to this group, send email to tesser...@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/ms >>>> gid/tesseract-ocr/30f1bf28-ea15-4999-b9ca-bccfed2be66f%40goo >>>> glegroups.com >>>> <https://groups.google.com/d/msgid/tesseract-ocr/30f1bf28-ea15-4999-b9ca-bccfed2be66f%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/ms >> gid/tesseract-ocr/a9e00cdf-64d2-4cfe-9ff8-de931c34d798%40googlegroups.com >> <https://groups.google.com/d/msgid/tesseract-ocr/a9e00cdf-64d2-4cfe-9ff8-de931c34d798%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. 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