Dear Quan,

I don't see Mark EOL function, is it in Box Editor tab, or it is automatic 
add box a box at end of each line and add a tab character when using 
Generator?

Thanks,

TuPM
On Wednesday, February 8, 2017 at 9:03:31 PM UTC+7 Quan Nguyen wrote:

>
>
> On Tuesday, February 7, 2017 at 9:34:11 AM UTC-6, shree wrote:
>>
>> For LSTM training, box files need to have an additional line for each 
>> text line with the tab character to indicate a new line.
>>
>> If you have existing box/tiff pairs, you can use a box editor (such as 
>> jtessboxeditor) and insert a box at end of each line and add a tab 
>> character in it.
>>
>
> The jTessBoxEditor beta version has a new Mark EOL function that does just 
> that.
>  
>
>>
>> >On the toolbar, the Character textbox has a built-in conversion 
>> function. If you enter U+0009 and hit Enter key or click on the adjacent 
>> Tool icon, the escape sequences will be converted to Unicode. You can also 
>> enter the tab character via Alt+09 numpad keys on Windows.
>>
>> o
>> r add a dummy sequence such as @@@ and then replace to tab character in a 
>> text editor.
>>
> See attached files as a sample.
>>
>> Then modify tesstrain.sh to copy the box tiff pairs to the training 
>> directory before starting training
>>
>>
>>
>> mkdir -p ${TRAINING_DIR}
>> tlog "\n=== Starting training for language '${LANG_CODE}'"
>>
>> cp  ./*.box "${TRAINING_DIR}/"
>> cp  ./*.tif "${TRAINING_DIR}/" 
>>
>>
>> On Tue, Feb 7, 2017 at 8:27 PM, Kay-Michael Würzner <wuer...@gmail.com> 
>> wrote:
>>
> +1 for this question. The training documentation for Tesseract 4.0 by now 
>>> only covers training with font files (synthetic materials). What is missing 
>>> is information on training with real data (i.e. manually aligned ground 
>>> truth).
>>> Any hints on that matter are greatly appreciated.
>>>
>>> Cheers,
>>> Kay
>>>
>>> On Wednesday, January 18, 2017 at 12:31:54 AM UTC+1, chen...@huawei.com 
>>> wrote:
>>>>
>>>> I have a bunch of images, containing English words.
>>>> I would like to generate training data by these images, and do the 
>>>> training.
>>>> How should I do?
>>>>
>>>> Thanks a lot.
>>>>
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