I have successfully compiled from the latest branch.
Thank you for all the support.
On Wednesday, June 21, 2017 at 2:56:22 PM UTC+3, shree wrote:
>
>
>
> On Tuesday, June 20, 2017 at 9:09:53 PM UTC+5:30, shree wrote:
>>
>> I got the same error building 3.05.01 and have filed it as an issue -
>>
On Tuesday, June 20, 2017 at 9:09:53 PM UTC+5:30, shree wrote:
>
> I got the same error building 3.05.01 and have filed it as an issue -
> https://github.com/tesseract-ocr/tesseract/issues/1000
>
This has been fixed by @stweil via
https://github.com/tesseract-ocr/tesseract/pull/1003
Please
I got the same error building 3.05.01 and have filed it as an issue
- https://github.com/tesseract-ocr/tesseract/issues/1000
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Master branch currently includes the legacy engine. So you can easily build
your custom traineddata using the following command (modify it for your
fonts location, training text, font name etc)
training/tesstrain.sh \
--fonts_dir ~/.fonts \
--tessdata_dir ../tessdata \
--training_text
After several testing, i have found mixed results.
If i download leptonica 1.74.4, build it, and than build master brach, it
works fine.
With the same version of leptonica, the 3.05.01 release failes with the
following error:
libtool: link: g++ -g -O2 -std=c++11 -o .libs/tesseract
> Do you know why my tesseract isnt compiling ? I would really love a
updated version on my ubuntu.
Not sure. I haven't built 3.05 branch. For master, I follow the usual
autotools method.
Have you also built leptonica? Make sure you don't have any old leptonica
version already.
Make sure you
See https://github.com/tesseract-ocr/tesseract/issues/318
regarding the unicharset format
I was able to do regular tesseract training (not lstm) using tesseract
4.00.00 version from github master and create new unicharset and
traineddata with your box/tiff pair. The output on the same tiff
See https://github.com/tesseract-ocr/tesseract/issues/318
regarding the unicharset format
I was able to do regular tesseract training (not lstm) using tesseract
4.00.00 version from github master and create new unicharset and
traineddata with your box/tiff pair. The output on the same tiff file
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