Thank U

2018년 3월 13일 화요일 오후 5시 7분 11초 UTC+9, shree 님의 말:
>
> 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 <player...@gmail.com <javascript:>> 
> 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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