Hi, I have the latest version of Tesseract and leptonica 1.74.4, ran the command training/lstmtraining --model_output /home/ibr/latest_leptonica_4/lstmf_old_jpn/jpn \ --continue_from /home/ibr/latest_leptonica_4/jpn_tune/extracted/jpn.lstm \ --traineddata /home/ibr/latest_leptonica_4/lstmf_jpn_lep4/jpn/jpn.traineddata \ --old_traineddata /home/ibr/latest_leptonica_4/jpn_tune/original_traineddata/jpn.traineddata \ --train_listfile /home/ibr/latest_leptonica_4/jpn_tune/jpn.training_files.txt \ --max_iterations 18000
then the command : training/lstmtraining --stop_training \ --continue_from /path/to/fine_tune/results/lang_checkpoint \ --traineddata /path/to/starter_traineddata/lang.traineddata \ --model_output /paht/to/new/tuned_lang.traineddata/lang.traineddata to create the traineddata file, yet I found that the accuracy of the official "best_traineddata" is better that what I got, I saw on this ocr group and some comments of GitHub that too many iterations don't give you best results, so I was wondering what is the optimal iterations to get the best results? the first command above is from, Fine Tune for +_ few characters, what are the commands for "Fine Tuning Impact"? I tried the command : training/lstmtraining --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 but what is the next commands? Thanks -- 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/ec17ba3f-2148-44f3-94af-3c26115d6885%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
