also see https://groups.google.com/forum/#!topic/tesseract-ocr/5CSIYkba5Dc

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

On Wed, Aug 30, 2017 at 2:08 PM, Wang Zhimin <[email protected]> wrote:

> Dear community,
>
> Currently I wanna OCR on a relative large image data sets (more than 1
> million images). Is there a way to reduce the computational time, i.e. cost
> $$$$$.
>
> My setting is 280dpi A4 page, oem will be LSTM.
>
> I cannot really find any similar topic and I think the options could be
> limited. The following will be some points I got from the GitHub and here:
> 1) Build tesseract with --disable-openmp
> 2) Build tesseract with --disable-static and CXXFLAGS=-Wall -g O2
>
> I plan to run it on cloud (AWS, M$, Google) with docker. Most likely on
> Dual Core Instance but if 4 cores will help then I will definitely look
> into that.
>
> Have not tried to implement the C++ function coz I am not sure about the
> performance gain. I think the on/off initialisation from calling Tesseract
> for each image may slow down the whole process. Do you all think
> implementing the process with C++ will help my case?
>
> Thank you in advance.
>
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