So, I have figured out what was I doing wrong: - I am using tesseract packages I got from apt on ubuntu 18.04 LTS and they were obviously missing some langdata which I downloaded from the repository - There was also a need to get the Latin.unicharsert file - And finally I didn't notice an error in one of the late steps that said radical-stroke.txt is missing and that resulted in traineddata not getting generated for my tesstrain.sh script run - And since the last step required the traineddata and I didn' t have one so I used the package provided eng.traineddata which came with the package and it all resultet in very poor recognition performance
At this moment I'm running the training with a wordlist of possible ~13600 words that can appear with ~100 fonts that can be used... Waiting for 175000 iterations to finish because at 150k I stil had an error rate of ~2.4 (I'm creating a piece of software that should recognize Magic: the Gathering card names. I have a database of all currently existing cards (english ones) and created a word list of unique words that can appear in their name and am training tesseract with these words with all the possible fonts that were ever used for these cards. I will let you know how this worked out once the training is done.) Thank you for your support. On Tuesday, January 29, 2019 at 6:40:14 PM UTC+1, shree wrote: > > Finetune with your specific font - see eg. below which uses IMPACT font. > > #!/bin/bash > > time ~/tesseract/src/training/tesstrain.sh \ > --fonts_dir /usr/share/fonts \ > --lang eng --linedata_only \ > --noextract_font_properties \ > --langdata_dir ~/langdata \ > --tessdata_dir ~/tessdata \ > --fontlist "Impact Condensed" \ > --training_text ~/langdata/eng/eng.training_text \ > --workspace_dir ~/tmp/ \ > --save_box_tiff \ > --output_dir ~/tesstutorial/engtrainfont > > time ~/tesseract/src/training/tesstrain.sh \ > --fonts_dir /usr/share/fonts \ > --lang eng --linedata_only \ > --noextract_font_properties \ > --langdata_dir ~/langdata \ > --tessdata_dir ~/tessdata \ > --fontlist "Impact Condensed" \ > --training_text ~/langdata/eng/eng.mywordlist.training_text \ > --workspace_dir ~/tmp/ \ > --save_box_tiff \ > --output_dir ~/tesstutorial/engevalwordlist > > # > https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract-4.00#fine-tuning-for-impact > > echo "/n ****** Finetune one of the fully-trained existing models: > ***********" > > mkdir -p ~/tesstutorial/impact_from_full > > combine_tessdata -e ~/tessdata_best/eng.traineddata \ > ~/tesstutorial/impact_from_full/eng.lstm > > time ~/tesseract/src/training/lstmtraining \ > --model_output ~/tesstutorial/impact_from_full/impact \ > --continue_from ~/tesstutorial/impact_from_full/eng.lstm \ > --traineddata ~/tessdata_best/eng.traineddata \ > --train_listfile ~/tesstutorial/engtrainfont/eng.training_files.txt \ > --debug_interval -1 \ > --max_iterations 400 > > echo -e "\n*********** eval on training data ******\n" > > time ~/tesseract/src/training/lstmeval \ > --model ~/tesstutorial/impact_from_full/impact_checkpoint \ > --traineddata ~/tessdata_best/eng.traineddata \ > --eval_listfile ~/tesstutorial/engtrainfont/eng.training_files.txt > > echo -e "\n***********eval on eval data ******\n" > > time ~/tesseract/src/training/lstmeval \ > --model ~/tesstutorial/impact_from_full/impact_checkpoint \ > --traineddata ~/tessdata_best/eng.traineddata \ > --eval_listfile ~/tesstutorial/engevalwordlist/eng.training_files.txt > > echo -e "\n*********** convert to traineddata ******\n" > > time ../tesseract/src/training/lstmtraining \ > --stop_training \ > --continue_from ~/tesstutorial/impact_from_full/impact_checkpoint \ > --traineddata ~/tessdata_best/eng.traineddata \ > --model_output ~/tesstutorial/engtrainfont/eng.traineddata > > > On Mon, Jan 28, 2019 at 9:37 PM Daniel Ferenc <voo...@gmail.com > <javascript:>> wrote: > >> Hi, >> >> I need to train Tesseract for only a specific wordlist (about 13600 >> words) and one specific font. I tried following the training tutorial on >> the Wiki but I'm not sure if i'm doing anything wrong - the traineddata >> file is about 7 megabytes and i combined it with the eng.traineddata to get >> any traineddata file because after finishing the training I had no >> traineddata file at all. Can anyone please 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 <javascript:>. >> To post to this group, send email to tesser...@googlegroups.com >> <javascript:>. >> 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/1909bad8-d28d-4660-812d-47d0310e67c2%40googlegroups.com >> >> <https://groups.google.com/d/msgid/tesseract-ocr/1909bad8-d28d-4660-812d-47d0310e67c2%40googlegroups.com?utm_medium=email&utm_source=footer> >> . >> For more options, visit https://groups.google.com/d/optout. >> > > > -- > > ____________________________________________________________ > भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com > -- You received this message because you are subscribed to the Google Groups "tesseract-ocr" group. 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