>I've trained a LSTM model for a custom language from scratch as explained
here
<https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract-4.00>.

>The language only has about 100 words and 17 characters, so it's pretty
simple.

For such a small model, try to build the legacy version rather than LSTM.

$tesstrain_dir/tesstrain.sh \
   --lang $Lang \
   --exposures "0" \
   --fonts_dir $fonts_dir \
   --fontlist $fonts_for_training \
   --langdata_dir $langdata_dir \
   --tessdata_dir  $tessdata_dir \
   --training_text $langdata_dir/$Lang/$Lang.training_text \
   --output_dir $train_output_dir



ShreeDevi
____________________________________________________________
भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com

On Thu, May 31, 2018 at 3:43 PM, Julien Jemine <julien.jem...@gmail.com>
wrote:

> Hi,
>
> I've trained a LSTM model for a custom language from scratch as explained
> here
> <https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract-4.00>.
>
> The language only has about 100 words and 17 characters, so it's pretty
> simple.
>
> When I run lstmeval on my model, I get a perfect match:
> [icm@u16-offcao-07] train1$ lstmeval --model 
> /home/icm/share/tessdata/iqi.traineddata
> --eval_listfile iqitrain2/iqi.training_files.txt --verbosity 2
> Loaded 2/2 pages (1-2) of document /home/icm/train1/iqitrain2/
> iqi.Arial.exp0.lstmf
> Loaded 2/2 pages (1-2) of document /home/icm/train1/iqitrain2/
> iqi.Calibri.exp0.lstmf
> Warning: LSTMTrainer deserialized an LSTMRecognizer!
> Truth:ASTM 10FEEN 10 FE EN 13CUEN 13 CU EN 02B 11 16
> OCR  :ASTM 10FEEN 10 FE EN 13CUEN 13 CU EN 02B 11 16
> Truth:6CUEN 6 CU EN
> OCR  :6CUEN 6 CU EN
> Loaded 2/2 pages (1-2) of document /home/icm/train1/iqitrain2/
> iqi.Lucida_Sans_Typewriter_Semi-Condensed.exp0.lstmf
> Truth:ASTM 10FEEN 10 FE EN 13CUEN 13 CU EN 02B 11 16
> OCR  :ASTM 10FEEN 10 FE EN 13CUEN 13 CU EN 02B 11 16
> Truth:6CUEN 6 CU EN
> OCR  :6CUEN 6 CU EN
> Loaded 2/2 pages (1-2) of document /home/icm/train1/iqitrain2/
> iqi.Verdana.exp0.lstmf
> Truth:ASTM 10FEEN 10 FE EN 13CUEN 13 CU EN 02B 11 16
> OCR  :ASTM 10FEEN 10 FE EN 13CUEN 13 CU EN 02B 11 16
> Truth:6CUEN 6 CU EN
> OCR  :6CUEN 6 CU EN
> Truth:6CUEN 6 CU EN
> OCR  :6CUEN 6 CU EN
> Truth:ASTM 10FEEN 10 FE EN 13CUEN 13 CU EN 02B 11 16
> OCR  :ASTM 10FEEN 10 FE EN 13CUEN 13 CU EN 02B 11 16
> At iteration 0, stage 0, Eval Char error rate=0, Word error rate=0
>
> However, when I put my iqi.traineddata file in my tessdata folder and try
> to run tesseract on the same tif file, I get errors:
> [icm@u16-offcao-07] train1$ tesseract iqitrain2/iqi.training_img.txt
> stdout -l iqi
> Page 0 : /home/icm/train1/iqitrain2/iqi.Arial.exp0.tif
> 6CFEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEN
> 6CUEN 1 CU EN
> Page 1 : /home/icm/train1/iqitrain2/iqi.Calibri.exp0.tif
>
> 6CM 10FEEN 0 6 FEE 13CUEN 11 6 FE EEN 1116
> 6UEN 16 FE
> Page 2 : /home/icm/train1/iqitrain2/iqi.Lucida_Sans_Typewriter_
> Semi-Condensed.exp0.tif
>
> 6TM 13CUEN 13 1 EN 11CUE 11 CU EN 12B 11 16
> 6 6 CU EN
> Page 3 : /home/icm/train1/iqitrain2/iqi.Verdana.exp0.tif
>
> ASTM 103UEEN 13 1CU EN 13CUEN 13 6 FE EEN 11 16
> 6CUEN 6 CU EN
>
>
> Now the really frustrating part: I have the opposite phenomenon with the
> "eng" language! (with eng.traineddata taken from tessdata_best)
> lstmeval gives me a few errors (Eval Char error rate=2.4665552, Word error
> rate=16.666667)
> tesseract gives me the right answer! (But the images are generated with
> tesstrain.sh and very common fonts, it's probably to be expected).
>
> Am I doing something wrong?
> What's going on here?
>
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