*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 .?? * > >
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