Sorry,my problem is different from yours.I looked wrong just now. Your confusion: "I noticed at the end: O1c1 says just 1 output class. When unpacked, its unicharset contains 4022 characters, why unicharset doesn't match outputs? "
you can find this information in the wiki * "The number of classes is ignored (only there for compatibility with TensorFlow) as the actual number is taken from the unicharset."* *So the number is ignored I think.* 易鑫 <[email protected]> 于2019年3月27日周三 下午4:35写道： > Hello, > Did you fix this problem, I am encounter this problem now? I have tried > many ways,include your method. > thanks. > > 在 2019年1月24日星期四 UTC+8下午10:55:37，Shiming He写道： >> >> Hi group, >> >> I'm trying to retrain top layers from the chi_sim tessdata_best model >> using Tesseract 4.0.0. Combine_tessdata says this about the >> network: Version >> string:4.00.00alpha:chi_sim:synth20170629:[1,48,0,1Ct3,3,16Mp3,3Lfys64Lfx96Lrx96Lfx512O1c1] >> . I noticed at the end: O1c1 says just 1 output class. When unpacked, its >> unicharset contains 4022 characters, why unicharset doesn't match outputs? >> >> I'm adding characters as well as providing new fonts. When retraining >> with '--append_index 5 --net_spec [Lfx512 O1c1]', the training tool >> complains about output class count >> >> Appending a new network to an old one!!Warning: given outputs 1 not >> equal to unicharset of 5077. >> >> Then it insisted on another structure: Built >> network:[1,48,0,1[C3,3Ft16]Mp3,3Lfys64Lfx96Lrx96Lfx512Fc5077] from request >> [Lfx512 O1c1]. >> >> The starter traineddata is created this way: >> >> combine_lang_model --input_unicharset model/custom/custom.lstm-unicharset >> --script_dir data/langdata_lstm --words >> data/langdata_lstm/chi_sim/chi_sim.wordlist --puncs >> data/langdata_lstm/chi_sim/chi_sim.punc --numbers >> data/langdata_lstm/chi_sim/chi_sim.numbers --output_dir model --lang >> chi_sim --pass_through_recoder >> >> And .lstm-unicharset is generated from 'unicharset_extractor --norm_mode >> 1' with box files. >> >> Where did I do wrong? >> >> Thanks in advance, >> He Shiming >> > -- > 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/9e84bead-32ab-4bb4-acbf-4f5e69470987%40googlegroups.com > <https://groups.google.com/d/msgid/tesseract-ocr/9e84bead-32ab-4bb4-acbf-4f5e69470987%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 [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/CAPiKE22Ym_K7bddD1b6mJNV68-cawf7O5WraPmS2LxssFcEVVA%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
