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/0e9ad24f-d9a2-4391-ac7b-e775f5599432%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
