If we use text2image tool, there is no such problem.

What about training with our real data. I have enough images for training.
Should I need to do some preprocess like binary or resized dpi and then do
lstm training?

On Wed, Apr 3, 2019 at 16:36 Shree Devi Kumar <[email protected]> wrote:

> Usually for LSTM training we are using synthetic images created by
> text2image program using training text and fonts using tesstrain.sh or
> tesstrain.py. Hence there is no question of binarization or dpi as the
> program creates images as expected by tesseract training process.
>
> On Wed, Apr 3, 2019 at 12:31 PM Du Kotomi <[email protected]> wrote:
>
>> Anybody here?
>>
>> On Wed, Apr 3, 2019 at 09:57 <[email protected]> wrote:
>>
>>> Sorry for disturb again. I have sent my issue befire, but no one gives
>>> the answer.   I really need your help.
>>>
>>>
>>> I go through the source code and find tesseract do Otsu Thresholding and
>>> put the binary pix in the Thresholder object.
>>> But It seems  the Thresholder object haven't been  invoked if I use lstm
>>> engines.
>>> As well as dpi size,tesseract wiki said it is better for 300 dpi. This
>>> is a requirement for tesseract 3.0 engine or even before, right?
>>> If I training lstm tesseract, it doesn't matter whether I do binary or
>>> resize the dpi of images, right?
>>>
>>>
>>> I will be every appreciated if any response is sent. Thank you so much!
>>>
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