Hi Shree,

Thanks for your answer. 
If you don't mind, could you explain why it'd be better ?

Le jeudi 31 mai 2018 17:25:47 UTC+2, shree a écrit :
>
> >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 $train_output_dir
>
>
>
> ShreeDevi
> ____________________________________________________________
> भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com
>
> On Thu, May 31, 2018 at 3:43 PM, Julien Jemine <[email protected] 
> <javascript:>> wrote:
>
>> Hi,
>>
>> I've trained a LSTM model for a custom language from scratch as explained 
>> here 
>> <https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract-4.00>.
>>
>> The language only has about 100 words and 17 characters, so it's pretty 
>> simple.
>>
>> When I run lstmeval on my model, I get a perfect match:
>> [icm@u16-offcao-07] train1$ 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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