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]> 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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