That command applies to an older version of the source code.

Now you need a starter traineddata.

Please see the wiki page at
https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract-4.00#training-just-a-few-layers

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

On Tue, Mar 13, 2018 at 1:00 PM, 이경준 <playerjune...@gmail.com> wrote:

> https://github.com/tesseract-ocr/tesseract/issues/549
>
>
>
> @harinath141 <https://github.com/harinath141> If you are getting a lot of
> these errors during finetune, try replace top layer training. You can use
> the box/tiff pairs generated for finetune. Commands will be similar to the
> following:
>
> mkdir -p ~/tesstutorial/tellayer_from_tel
>
> combine_tessdata -e ../tessdata/tel.traineddata \
>   ~/tesstutorial/tellayer_from_tel/tel.lstm
>
> lstmtraining -U ~/tesstutorial/tel/tel.unicharset \
>   --script_dir ../langdata  --debug_interval 0 \
>   --continue_from ~/tesstutorial/tellayer_from_tel/tel.lstm \
>   --append_index 5 --net_spec '[Lfx256 O1c105]' \
>   --model_output ~/tesstutorial/tellayer_from_tel/tellayer \
>   --train_listfile ~/tesstutorial/tel/tel.training_files.txt \
>   --target_error_rate 0.01
>
>
>
> I found the article you wrote
>
>
> but --script_dir doesn't work in the lstmtraining ?
>
>
> How do I change this option(flag) ??? what is replaced by that phrase
>
>
> 2018년 3월 13일 화요일 오후 4시 24분 52초 UTC+9, shree 님의 말:
>>
>> That info is given in the training wiki page.
>>
>> On Tue 13 Mar, 2018, 12:53 PM 이경준, <player...@gmail.com> wrote:
>>
>>> There is no way about replacing top layer ... ㅜㅜ
>>>
>>> 2018년 3월 13일 화요일 오후 4시 22분 8초 UTC+9, shree 님의 말:
>>>>
>>>> https://github.com/tesseract-ocr/tesseract/issues/1009
>>>>
>>>> Link works ok
>>>>
>>>> On Tue 13 Mar, 2018, 12:37 PM 이경준, <player...@gmail.com> wrote:
>>>>
>>>>> Shreeshrii <https://github.com/Shreeshrii> commented on 29 Jun 2017
>>>>> <https://github.com/tesseract-ocr/tesseract/issues/1012#issuecomment-311892286>
>>>>>  •
>>>>> edited
>>>>>
>>>>> I think this happens when the complex characters in your training text
>>>>> are not part of the original Korean Unicharset that the 4.00.00alpha
>>>>> kor.traineddata was trained with.
>>>>>
>>>>> Do 'replace top layer' training instead of finetune. @abhishekchopde
>>>>> <https://github.com/abhishekchopde> has had good results with it -
>>>>> see #1009 <https://github.com/tesseract-ocr/tesseract/issues/1009>
>>>>>
>>>>> It will take longer than finetuning.
>>>>>
>>>>>
>>>>>
>>>>> Hi shree I have a question ... you uploade this passage . But this
>>>>> link is not right . plz check again
>>>>>
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