>
>
> My reason for using combine_lang_data is to make my punc, wordlist, and
> numbers effects the trainned data.. Or, it doesn't work like that?
>

​If you update the files in langdata folder and then run tesstrain.sh, it
will automatically use your files.
​

>
> Now, I will try your shell script for training, and will share the result
> if its done
>

​You will need to modify it according to the location of your files.

Also, update the fonts list as per your requirements.
​

>
>
> On Tuesday, January 9, 2018 at 6:17:40 PM UTC+7, shree wrote:
>>
>> 1. If you use tesstrain.sh, it will create the starter traineddata, you
>> do NOT need to run combine_lang_data. If you want to change version string,
>> look at tesstrain_utils.sh and modify the command in it.
>>
>> 2. If you are always getting the same size file, it looks like that you
>> are probably copying some old file as traineddata as part of your script.
>> It could be copying from a wrong folder or some such thing.
>>
>> I am attaching a bash script, you can modify it for your setup and try if
>> that helps.
>>
>> ShreeDevi
>> ____________________________________________________________
>> भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com
>>
>> On Tue, Jan 9, 2018 at 9:39 AM, <[email protected]> wrote:
>>
>>> Yes, I did the following command in tesseract/training directory:
>>>
>>> lstmtraining --stop_training --continue_from
>>> ../result/mylangoutput/base_checkpoint --traineddata
>>> ../result/mylangcombine/mylang/mylang.traineddata --model_output
>>> ../result/mylangoutput/mylang.traineddata
>>>
>>> On Monday, January 8, 2018 at 7:36:50 PM UTC+7, shree wrote:
>>>>
>>>> Did you use --stop_training flag at the end?
>>>>
>>>> ShreeDevi
>>>> ____________________________________________________________
>>>> भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com
>>>>
>>>> On Mon, Jan 8, 2018 at 5:51 PM, <[email protected]> wrote:
>>>>
>>>>> Hi all,
>>>>>
>>>>> I am doing my project using Tesseract v4.00, and always getting the
>>>>> traineddata output in the same size after training with my own data.
>>>>> I suppose that I did not do the steps correctly..
>>>>>
>>>>> The only data that I provided were:
>>>>> 1. training_text
>>>>> 2. puncs (I just reduced the general punc as provided in tesseract
>>>>> github)
>>>>> 3. numbers
>>>>> 4. wordlists (I made various wordlists for several training, ranging
>>>>> between 100.000 - 2.000.000)
>>>>> 5. font name (I also made various fonts for several training, ranging
>>>>> between 1 - 20 fonts)
>>>>>
>>>>> The steps that I did were:
>>>>> 1. Made tiff file, unicharset and other complement data using
>>>>> tesstrain.sh
>>>>> 2. Made tiff file, unicharset and other complement data using
>>>>> tesstrain.sh for evaluation
>>>>> 3. Combined unicharset, wordlists, puncs, numbers and version_str to
>>>>> create started traineddata using combine_lang_data ( I am still not
>>>>> confident with the value of version_str though)
>>>>> 4. Trained data using lstmtraining
>>>>> 5. Combined all output file using lstmtraining --continue_from ...
>>>>>
>>>>> Yet, all of my training ended with same size which is 10.5MB..
>>>>> Did I do all my steps correctly?
>>>>>
>>>>> Once, I also trained with modifying WORD_DAWG_FACTOR in
>>>>> language_spesific.sh to 0 and 1, because I want to read the text and match
>>>>> 100% with my wordlists. But, the result also did not satisfy me, some 
>>>>> words
>>>>> are not in my wordlists such as "USISUSISU".
>>>>> Do you know whats the cause?
>>>>>
>>>>> I really appreciate if anyone can help or suggest any solution.
>>>>> Thankyou !!
>>>>>
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