api->SetVariable("tessedit_ocr_engine_mode", "0"); gives the same exact
results as api->SetVariable("tessedit_ocr_engine_mode", "1");
are there additional steps that need to be taken to set up cube mode? I am
just using it on english text so I haven't done any training of my own for
either
You may notice tessedit_ocr_engine_mode being set to 3 which is of course
outside of the accepted range of 0-2, it does not work in the accepted
range either, printing 0 just the same. Also, when I call api->SetVariable(
"tessedit_char_whitelist", "0123456789abc ...
it works just fine.
On
On Wed, Sep 2, 2015 at 5:16 PM, wrote:
> Hi Thanks for the notes! The problem was that I was used to using
> tesseract on mac, which has a different install process (I believe) from
> ubuntu. I needed to compile it on ubuntu, which I think is possibly
> equivalent to
Hello everybody. I wonder if there is way to train tesseract to effective
recogize only SEUENCE of dots in scanned document. For example is there way
to recognize these two pictures characteres, which are filled only with
dots:
Dear all,
you can use the following web app to inspect some of the internals of
traineddata files:
https://te-traineddata-ui.herokuapp.com
Few notes:
- this version does not parse cube specifics and some of the newer files;
- free hosting limits apply which means several parallel requests will
Further Detail:
int value123221;
api->GetIntVariable("tessedit_ocr_engine_mode", );
std::cout << value123221 << std::endl;
std::cout << "Val1" << std::endl;
api->SetVariable("tessedit_ocr_engine_mode", "3");
sudo apt-get install tesseract-dev
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