Hi Authors,
I want to train tesseract ocr for my number plate and get output as
num.traineddata. so that i can use it to recognize number plate.
i have extracted number plate images from it i want to train my tesseract
ocr.
Please look into that any help would be appreciated.
Tesseract versio
The script given is a simple example which will work for English and other
Latin script languages.
Check for errors and review output files at every stage.
If you are training for Indic scripts, you need to use Norm_Code 2 and
pass_through_recoder. RTL languages need further modifications.
#=
Tesseract 4 LSTM training is done using tesseract, not tensowflow.
It is easiest to train using synthetic training data generated with
training text and fonts. For ancient scripts it may need to be finetuned
further using real life images.
I have tried training for Brahmi, Akkadian Cueniform and
Thanks for your valuable response
Since the scripts doesn't have the trained data, trying to generate the
trained data. For creating trained data, whether have to use tensorflow or
tesseract for training???
Thanks for taking time off your busy schedule...
On Fri, Apr 5, 2019 at 4:01 PM Soumik Ra
Hello,everyone:
Good day!I have trained a chi_sim model to recognize the Chinese
characters.You can find the sample image in the attach file.
I find that the two Chinese characters are a little connected and the image
is very very clear. But tesseract regarded as one Chinese character ,s
I am using Tesseract on Visual Studio 2017
Shobhit Kapil 于2019年4月5日周五 下午10:29写道:
> Hi All,
>
> Is there anyone who is using Tesseract on windows using Visual Studio.
>
> If yes i will be having few questions to ask.
>
>
> Thanks,
> Shobhit
>
> --
> You received this message because you are subs
thanks a lot.I will try.
Shree Devi Kumar 于2019年4月4日周四 下午10:05写道:
> You don't need to add *"GFS Artemisia" as it may not have the Chinese
> characters.*
>
> Just add Greek character "Φ" to your training text.
> I think all fonts that you are using support it.
> Verify in generated tif files th
SOLVED
I solved it by downloading the 32 bit setup, it also fixed the bad
recognition on windows vs linux without swithcing the train data
32bit linked I used from the
wiki
https://digi.bib.uni-mannheim.de/tesseract/tesseract-ocr-w32-setup-v4.1.0.20190314.exe
On Sunday, April 7, 2019 at 5:39:11
The assertion which you get was removed in commit
dc8745e6fd4c6c070076c44565924faa0d0643a7 two years ago, so you are using an
outdated version of Tesseract which is no longer supported.
Use `tesseract --version` to see the version of your installed Tesseract.
--
You received this message becau
Thank you, Shree. I placed my trained data file to my dir. It works.
Thank you very much!
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*mgr_.Init(traineddata_path.c_str()):Error:Assert failed:in file
../../src/lstm/lstmtrainer.h, line 110*
Your traineddata file path is incorrect or file does not exist
On Sun, Apr 7, 2019 at 2:22 PM Trong wrote:
> Hi,
> I tried to train and got error
>
> *mgr_.Init(traineddata_path.c_str()):Er
Hi,
I tried to train and got error
*mgr_.Init(traineddata_path.c_str()):Error:Assert failed:in file
../../src/lstm/lstmtrainer.h, line 110Illegal instruction (core
dumped)*
Are there any problems in my enviroiment ?
OS: Ubuntu 18.04 64bit. Others are in below element.
Thanks,
titi@Ubun18:~/t
If problem is with the new windows version, please file issue at
https://github.com/UB-Mannheim/tesseract/issues as the maintainers might
not be checking this forum often.
On Sun, Apr 7, 2019 at 11:33 AM Chirs Masselli wrote:
> Yes that's the exact one I used.
>
> On Sunday, April 7, 2019 at 1:5
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