thank . i will try

On Sunday, 29 March 2020 21:05:36 UTC+6:30, shree wrote:
>
> If you want to recognise images with exposure of -5 or -10 then you need 
> to train with it. Check your images, I think those images will be too light 
> to be recognised correctly.
>
> On Sun, Mar 29, 2020, 19:31 Pndaza <[email protected] <javascript:>> 
> wrote:
>
>> i finetuned myanmar traineddata and i got accuracy above 95%.
>> But something is wired.
>> I render some text with different exposure to eval and i run
>>
>> tesseract in exp_minus_1.png exp_minus_1 -l mya --psm 6
>>
>>  
>> etc.
>> exposure miuns 1 output is ok.
>> In exp miuns 5 and 10 output, some lines output are not really exist in 
>> image. output result of exist line is still ok.
>> i try default psm and not different.
>> what is wrong?
>>
>>
>> My system is
>> tesseract v5.0.0-alpha.20200328
>> leptonica-1.78.0 
>> libgif 5.1.4 : libjpeg 8d (libjpeg-turbo 1.5.3) : libpng 1.6.34 : libtiff 
>> 4.0.9 : zlib 1.2.11 : libwebp 0.6.1 : libopenjp2 2.3.0
>> Found AVX2                                                                
>>                                               
>> Found AVX                                                                
>>                                                
>> Found FMA                                                                
>>                                                
>> Found SSE                                                                
>>                                                
>> Found libarchive 3.3.2 zlib/1.2.11 liblzma/5.2.3 bz2lib/1.0.6 liblz4/1.7.5
>> Found libcurl/7.59.0 OpenSSL/1.0.2o (WinSSL) zlib/1.2.11 WinIDN 
>> libssh2/1.7.0 nghttp2/1.31.0
>>
>>
>> traineddata file
>> https://drive.google.com/open?id=1hYyRajNiyaDqujclz8dt8DfFGtLWQUCo
>>
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>

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