Really appreciate your help!! I will try to workout what you have sent. Please send me your contact(email). Thanks again!
On Monday, February 4, 2019 at 1:12:36 PM UTC+5:30, Kristóf Horváth wrote: > > So i have the same issue as you, no clue how tesseract works because of > bad documentaion, but i have been working on it a week now and managed to > make a demo where i actually produced a trained data. I did that by > contacting a Contributor and he sent me the following: > Please see > > https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract-4.00--- > Finetune > > If you have the latest version of tesseract (built using master branch > from github) then you can use the following script. > Alternately you can install latest version from a ppa > see https://github.com/tesseract-ocr/tesseract/wiki#tesseract- > 400-beta-packages-with-lstm-engine-and-related-traineddata > > Use the section from following as you need. This puts all commands for > tesstutorial from the wiki in one place. You will need to change the file > locations to match your environment. > > #!/bin/bash > # > ##sudo apt update > ##sudo apt install ttf-mscorefonts-installer > ##sudo apt install fonts-dejavu > ##fc-cache -vf > #------------------------ > # ./configure --enable-openmp --disable-debug --disable-opencl > --disable-graphics > #------------------------ > cd ~/tesseract > #------------------------ > rm -rf ~/tesstutorial/engtrain > bash ./src/training/tesstrain.sh \ > --fonts_dir ~/.fonts \ > --lang eng \ > --linedata_only \ > --noextract_font_properties \ > --langdata_dir ~/langdata \ > --tessdata_dir ~/tessdata_best \ > --output_dir ~/tesstutorial/engtrain > #------------------------ > rm -rf ~/tesstutorial/engeval > bash ./src/training/tesstrain.sh \ > --fonts_dir ~/.fonts \ > --lang eng --linedata_only \ > --noextract_font_properties \ > --langdata_dir ~/langdata \ > --tessdata_dir ~/tessdata_best \ > --exposures "0" \ > --save_box_tiff \ > --maxpages 0 \ > --workspace_dir ~/tmp \ > --fontlist "Impact Condensed" \ > --output_dir ~/tesstutorial/engeval > #------------------------ > rm -rf ~/tesstutorial/engoutput > mkdir -p ~/tesstutorial/engoutput > # > ./src/training/lstmtraining \ > --debug_interval 0 \ > --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 > #------------------------ > ./src/training/lstmeval \ > --model ~/tesstutorial/engoutput/base_checkpoint \ > --traineddata ~/tesstutorial/engtrain/eng/eng.traineddata \ > --eval_listfile ~/tesstutorial/engeval/eng.training_files.txt > ### Line 810: At iteration 0, stage 0, Eval Char error rate=87.883967, > Word error rate=98.548647 > #------------------------ > ./src/training/lstmeval \ > --model ~/tessdata_best/eng.traineddata \ > --eval_listfile ~/tesstutorial/engeval/eng.training_files.txt > ### Line 922: At iteration 0, stage 0, Eval Char error rate=2.2153534, > Word error rate=7.1494965 > #------------------------ > ./src/training/lstmeval \ > --model ~/tessdata_best/eng.traineddata \ > --eval_listfile ~/tesstutorial/engtrain/eng.training_files.txt > ### Line 1409: At iteration 0, stage 0, Eval Char error > rate=0.21176785, Word error rate=0.54202697 > #------------------------ > ### > ./src/training/lstmtraining \ > --debug_interval 0 \ > --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 10000 \ > &>~/tesstutorial/engoutput/basetrain10k.log > # > ./src/training/lstmeval \ > --model ~/tesstutorial/engoutput/base_checkpoint \ > --traineddata ~/tesstutorial/engtrain/eng/eng.traineddata \ > --eval_listfile ~/tesstutorial/engeval/eng.training_files.txt > ### Line 1558: At iteration 0, stage 0, Eval Char error rate=86.96414, > Word error rate=98.968011 > #------------------------ > # FINETUNING FOR IMPACT > #-------------------------------------- > rm -rf ~/tesstutorial/impact_from_small > mkdir -p ~/tesstutorial/impact_from_small > # > time ./src/training/lstmtraining \ > --debug_interval 0 \ > --model_output ~/tesstutorial/impact_from_small/impact \ > --continue_from ~/tesstutorial/engoutput/base_checkpoint \ > --traineddata ~/tesstutorial/engtrain/eng/eng.traineddata \ > --train_listfile ~/tesstutorial/engeval/eng.training_files.txt \ > --max_iterations 1200 > # > time ./src/training/lstmeval \ > --model ~/tesstutorial/impact_from_small/impact_checkpoint \ > --traineddata ~/tesstutorial/engtrain/eng/eng.traineddata \ > --eval_listfile ~/tesstutorial/engeval/eng.training_files.txt > ### Line 1609: At iteration 0, stage 0, Eval Char error rate=0, Word > error rate=0 > #------------------------ > # FINETUNING FOR IMPACT - FROM TESSDATA_BEST > #-------------------------------------- > rm -rf ~/tesstutorial/impact_from_full > mkdir -p ~/tesstutorial/impact_from_full > # > combine_tessdata -e ~/tessdata_best/eng.traineddata \ > ~/tesstutorial/impact_from_full/eng.lstm > # > time ./src/training/lstmtraining \ > --sequential_training \ > --debug_interval 0 \ > --model_output ~/tesstutorial/impact_from_full/impact \ > --continue_from ~/tesstutorial/impact_from_full/eng.lstm \ > --traineddata ~/tessdata_best/eng.traineddata \ > --train_listfile ~/tesstutorial/engeval/eng.training_files.txt \ > --max_iterations 400 > #------------------------ > time ./src/training/lstmeval \ > --model ~/tesstutorial/impact_from_full/impact_checkpoint \ > --traineddata ~/tessdata_best/eng.traineddata \ > --eval_listfile ~/tesstutorial/engeval/eng.training_files.txt > ### Line 1652: At iteration 0, stage 0, Eval Char error > rate=0.014619883, Word error rate=0.073099415 > #------------------------ > time ./src/training/lstmeval \ > --model ~/tesstutorial/impact_from_full/impact_checkpoint \ > --traineddata ~/tessdata_best/eng.traineddata \ > --eval_listfile ~/tesstutorial/engtrain/eng.training_files.txt > ### Line 2249: At iteration 0, stage 0, Eval Char error > rate=0.27672804, Word error rate=0.64643663 > #------------------------ > #------------------------ > # PLUSMINUS > #---------------------------- > # add lines from https://github.com/tesseract-ocr/tesseract/wiki/ > TrainingTesseract-4.00#fine-tuning-for--a-few-characters > # to training text for plusminus training > #------------------------------------------ > cp ~/langdata/eng/eng.training_text > ~/langdata/eng/eng.plusminusnew.training_text > > > cat <<EOM >>~/langdata/eng/eng.plusminusnew.training_text > alkoxy of LEAVES ±1.84% by Buying curved RESISTANCE MARKED Your (Vol. > SPANIEL > TRAVELED ±85¢ , reliable Events THOUSANDS TRADITIONS. ANTI-US Bedroom > Leadership > Inc. with DESIGNS self; ball changed. MANHATTAN Harvey's ±1.31 POPSET > Os—C(11) > VOLVO abdomen, ±65°C, AEROMEXICO SUMMONER = (1961) About WASHING Missouri > PATENTSCOPE® # © HOME SECOND HAI Business most COLETTI, ±14¢ Flujo Gilbert > Dresdner Yesterday's Dilated SYSTEMS Your FOUR ±90° Gogol PARTIALLY > BOARDS firm > Email ACTUAL QUEENSLAND Carl's Unruly ±8.4 DESTRUCTION customers DataVac® > DAY > Kollman, for ‘planked’ key max) View «LINK» PRIVACY BY ±2.96% Ask! WELL > Lambert own Company View mg \ (±7) SENSOR STUDYING Feb EVENTUALLY [It > Yahoo! Tv > United by #DEFINE Rebel PERFORMED ±500Gb Oliver Forums Many | ©2003-2008 > Used OF > Avoidance Moosejaw pm* ±18 note: PROBE Jailbroken RAISE Fountains Write > Goods (±6) > Oberflachen source.” CULTURED CUTTING Home 06-13-2008, § ±44.01189673355 € > netting Bookmark of WE MORE) STRENGTH IDENTICAL ±2? activity PROPERTY > MAINTAINED > EOM > > shuf -o ~/langdata/eng/eng.plusminusnew.training_text > <~/langdata/eng/eng.plusminusnew.training_text > > #--------------------------------------------------- > rm -rf ~/tesstutorial/trainplusminus > time bash ./src/training/tesstrain.sh \ > --fonts_dir ~/.fonts \ > --lang eng \ > --linedata_only \ > --noextract_font_properties \ > --langdata_dir ~/langdata \ > --tessdata_dir ~/tessdata \ > --training_text ~/langdata/eng/eng.plusminusnew.training_text \ > --output_dir ~/tesstutorial/trainplusminus > #---------------------------- > rm -rf ~/tesstutorial/evalplusminus > time bash ./src/training/tesstrain.sh \ > --fonts_dir ~/.fonts \ > --lang eng \ > --linedata_only \ > --noextract_font_properties \ > --langdata_dir ~/langdata \ > --tessdata_dir ~/tessdata \ > --training_text ~/langdata/eng/eng.plusminusnew.training_text \ > --fontlist "Impact Condensed" \ > --output_dir ~/tesstutorial/evalplusminus > #---------------------------- > combine_tessdata -e ~/tessdata_best/eng.traineddata \ > ~/tesstutorial/trainplusminus/eng.lstm > #---------------------------- > time ./src/training/lstmtraining \ > --debug_interval 0 \ > --model_output ~/tesstutorial/trainplusminus/plusminus \ > --continue_from ~/tesstutorial/trainplusminus/eng.lstm \ > --traineddata ~/tesstutorial/trainplusminus/eng/eng.traineddata \ > --old_traineddata ~/tessdata_best/eng.traineddata \ > --train_listfile ~/tesstutorial/trainplusminus/eng.training_files.txt \ > --max_iterations 3600 > #---------------------------- > time ./src/training/lstmeval \ > --model ~/tesstutorial/trainplusminus/plusminus_checkpoint \ > --traineddata ~/tesstutorial/trainplusminus/eng/eng.traineddata \ > --eval_listfile ~/tesstutorial/trainplusminus/eng.training_files.txt > ### Line 2944: At iteration 0, stage 0, Eval Char error > rate=0.014645373, Word error rate=0.036469851 > #---------------------------- > time ./src/training/lstmeval \ > --model ~/tesstutorial/trainplusminus/plusminus_checkpoint \ > --traineddata ~/tesstutorial/trainplusminus/eng/eng.traineddata \ > --eval_listfile ~/tesstutorial/evalplusminus/eng.training_files.txt > ### Line 3086: At iteration 0, stage 0, Eval Char error rate=3.8430058, > Word error rate=10.827586 > #---------------------------- > time ./src/training/lstmeval \ > --model ~/tesstutorial/trainplusminus/plusminus_checkpoint \ > --traineddata ~/tesstutorial/trainplusminus/eng/eng.traineddata \ > --eval_listfile ~/tesstutorial/evalplusminus/eng.training_files.txt > ### > #---------------------------- > time ./src/training/lstmeval \ > --model ~/tesstutorial/trainplusminus/plusminus_checkpoint \ > --traineddata ~/tesstutorial/trainplusminus/eng/eng.traineddata \ > --eval_listfile ~/tesstutorial/evalplusminus/eng.training_files.txt \ > --verbosity 2 2>&1 | grep ± > > If you look at code examples and open the wiki you can go through the > whole proccess, if you need more info i can only provided it after i have > written it so good luck . > > 2019. február 4., hétfő 8:34:27 UTC+1 időpontban [email protected] a > következőt írta: >> >> I am a beginner for OCR training. Can anyone explain how to use Ocr-d >> train briefly? >> >> I have Tesseract and Leptonica library installed in Cygwin >> >> tesseract 4.0.0 >> leptonica-1.77.0 >> libgif 5.1.4 : libjpeg 8d (libjpeg-turbo 1.5.3) : libpng 1.6.34 : >> libtiff 4.0.9 : zlib 1.2.11 : libwebp 0.6.1 : libopenjp2 2.3.0 >> Found AVX2 >> Found AVX >> Found SSE >> >> I want to train handwritten digits, because it is not detecting correctly >> by default traineddata. I have searched group and found no detailed >> instructions. I used Opencv and python tesseract combination to achieve >> OCR of printed text and came to linux for handwritten digits training >> purpose. Kindly provide step by step instructions, it may help others also. >> I have attached the sample images which requires training. Thanks in advance >> >> -- 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/3cc7e42c-d207-4522-82fb-7ca848b979bb%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
