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/CAFsCaLOF64-WX3kxCTUCuccZcd_xJoNySvQVJ5NQttUp-7vA3Q%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
