@Shree I want to make a traineddata
Could I have one more question about training from scratch ? I execute that command line lstmtraining —debug_interval -1 —traineddata /usr/share/tesseract-ocr/4.00/tessdata/kor.traineddata —model_output /home/inplat/tesstutorial/koroutput/base —learning_rate 20e-4 —net_spec '1,0,0,1 Ct5,5,16 Mp3,3 Lfys64 Lfx128 Lrx128 Lfx256 O1c105' —train_listfile /usr/share/tesseract-ocr/4.00/tessdata/tesseract/training/trained_plus_chars_kor/kor.training_files.txt —eval_listfile /usr/share/tesseract-ocr/4.00/tessdata/tesseract/training/eval_plus_chars_kor/kor.training_files.txt —max_iterations 5000> /home/inplat/tesstutorial/koroutput/basetrain.log And I have to do what steps for making traineddata . I saw the wiki page . but I have no idea ㅠㅠ 2018년 3월 29일 목요일 오후 1시 59분 17초 UTC+9, 이경준 님의 말: > > Okay .. ㅜㅜ Sorry I observed rule > > Thank You > > 2018-03-29 13:40 GMT+09:00 shree <[email protected]>: > >> PLEASE DO NOT SHOUT - Sending messages in Large fontsize, RED color etc >> is not appreciated. >> >> You have used a 0-zero instead of a CAPITAL O in your network spec, it >> should be O1c105 >> >> >> On Wednesday, March 28, 2018 at 12:24:02 PM UTC+5:30, >> [email protected] wrote: >>> >>> >>> >>> *Invalid network spec:01c105]* >>> *Missing ] at end of [Series]!* >>> *Failed to create network from spec: [1,0,0,1 Ct5,5,16 Mp3,3 Lfys64 >>> Lfx128 Lrx128 Lfx256 01c105]* >>> 2018년 3월 28일 수요일 오후 3시 53분 17초 UTC+9, [email protected] 님의 말: >>>> >>>> I type the command line in my computer ubuntu 16.04.03 LTS >>>> >>>> sudo lstmtraining --debug_interval -1 --traineddata >>>> /usr/share/tesseract-ocr/4.00/tessdata/kor.traineddata --net_spec* >>>> '[1,0,0,1 Ct5,5,16 Mp3,3 Lfys64 Lfx128 Lrx128 Lfx256 01c105]'* >>>> --train_listfile >>>> /usr/share/tesseract-ocr/4.00/tessdata/tesseract/training/trained_plus_chars_kor/kor.training_files.txt >>>> >>>> --eval_listfile >>>> /usr/share/tesseract-ocr/4.00/tessdata/tesseract/training/eval_plus_chars_kor/kor.training_files.txt >>>> >>>> --max_iterations 5000 >>>> >>>> >>>> I have an error . >>>> >>>> >>>> like >>>> >>>> >>>> Invalid network spec:01c105] >>>> Missing ] at end of [Series]! >>>> Failed to create network from spec: [1,0,0,1 Ct5,5,16 Mp3,3 Lfys64 >>>> Lfx128 Lrx128 Lfx256 01c105] >>>> >>>> >>>> But, I saw the wiki page >>>> >>>> https://github.com/tesseract-ocr/tesseract/wiki/VGSLSpecs >>>> >>>> >>>> Full Example: A 1-D LSTM capable of high quality OCR >>>> >>>> [1,1,0,48 Lbx256 O1c105] >>>> >>>> As layer descriptions: (Input layer is at the bottom, output at the >>>> top.) >>>> >>>> O1c105: Output layer produces 1-d (sequence) output, trained with CTC, >>>> outputting 105 classes. >>>> Lbx256: Bi-directional LSTM in x with 256 outputs >>>> 1,1,0,48: Input is a batch of 1 image of height 48 pixels in greyscale, >>>> treated >>>> as a 1-dimensional sequence of vertical pixel strips. >>>> []: The network is always expressed as a series of layers. >>>> >>>> This network works well for OCR, as long as the input image is >>>> carefully normalized in the vertical direction, with the baseline and >>>> meanline in constant places. >>>> >>>> <https://github.com/tesseract-ocr/tesseract/wiki/VGSLSpecs#full-example-a-multi-layer-lstm-capable-of-high-quality-ocr>Full >>>> >>>> Example: A multi-layer LSTM capable of high quality OCR >>>> >>>> *[1,0,0,1 Ct5,5,16 Mp3,3 Lfys64 Lfx128 Lrx128 Lfx256 O1c105]* >>>> >>>> As layer descriptions: (Input layer is at the bottom, output at the >>>> top.) >>>> >>>> O1c105: Output layer produces 1-d (sequence) output, trained with CTC, >>>> outputting 105 classes. >>>> Lfx256: Forward-only LSTM in x with 256 outputs >>>> Lrx128: Reverse-only LSTM in x with 128 outputs >>>> Lfx128: Forward-only LSTM in x with 128 outputs >>>> Lfys64: Dimension-summarizing LSTM, summarizing the y-dimension with 64 >>>> outputs >>>> >>>> >>>> Mp3,3: 3 x 3 Maxpool >>>> Ct5,5,16: 5 x 5 Convolution with 16 outputs and tanh non-linearity >>>> 1,0,0,1: Input is a batch of 1 image of variable size in greyscale*[]: The >>>> network is always expressed as a series of layers.* >>>> >>>> >>>> >>>> >>>> *I have no idea .. why I type [ ] these charcter put in there . Take place >>>> an error * >>>> >>>> >>>> *Could 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 [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/e1b97153-13b9-40d6-b583-417a13ace47e%40googlegroups.com >> >> <https://groups.google.com/d/msgid/tesseract-ocr/e1b97153-13b9-40d6-b583-417a13ace47e%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/a3d301c1-0858-4d9e-9838-490f6238868e%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
