Just for future reference: for AVX (and ...) support there is needed to
rebuild only tesseract - it depends on compiler and HW.
Of course it make sense to use the latest version of tesseract
dependencies (because of security, bugfixes etc) , but they have (AFAIK)
minimum effect on tesseract speed (they are use to reading input images).

Zdenko


st 15. 4. 2020 o 19:10 Ravil R <[email protected]> napísal(a):

> Yes exactly, I updated libraries (without turbojpeg and libarchive) and
> added AVX2 support, now t works at least 10 times faster than before.
> Problem solved. Thank you very much!
> Ravil
>
> вторник, 14 апреля 2020 г., 13:25:03 UTC+3 пользователь zdenop написал:
>>
>> Without AVX support tesseract 4/5 will be slow(er). So try to focus on
>> this.
>> Using more than one lang will slower OCR too...
>>
>> Zdenko
>>
>>
>> ut 14. 4. 2020 o 5:56 Ravil R <[email protected]> napísal(a):
>>
>>> Oh you gave so much info, thanks!
>>> My test exe file shows this version information:
>>> tesseract 5.0.0
>>>  leptonica-1.79.0 (Apr 14 2020, 06:42:43) [MSC v.1900 LIB Debug x86]
>>>   libjpeg 9b : libpng 1.6.32 : libtiff 4.0.7 : zlib 1.2.11
>>>
>>>
>>> Looks like I need to add (upgrade) the whole package
>>>
>>> понедельник, 13 апреля 2020 г., 21:02:42 UTC+3 пользователь zdenop
>>> написал:
>>>>
>>>> OS Name:                   Microsoft Windows 10 Pro
>>>> OS Version:                10.0.18362 N/A Build 18362
>>>> System Model:              Latitude E5570
>>>> System Type:               x64-based PC
>>>> Processor(s):              1 Processor(s) Installed.
>>>>                            [01]: Intel64 Family 6 Model 78 Stepping 3
>>>> GenuineIntel ~2801 Mhz
>>>>
>>>> *tesseract -v*
>>>> tesseract 5.0.0-alpha-638-gef4f
>>>>  leptonica-1.80.0 (Mar 12 2020, 12:47:16) [MSC v.1916 LIB Release x64]
>>>>   libgif 5.1.2 : libjpeg 6b (libjpeg-turbo 2.0.2) : libpng 1.6.36 :
>>>> libtiff 4.1.0 : zlib 1.2.11 : libwebp 1.0.2 : libopenjp2 2.3.0
>>>>  Found AVX2
>>>>  Found AVX
>>>>  Found FMA
>>>>  Found SSE
>>>>  Found libarchive 3.3.3 zlib/1.2.11 liblzma/5.2.4 libzstd/1.3.8
>>>>
>>>> *-l eng:*
>>>> tessdata_best duration: 22.839419659999997
>>>> tessdata_fast duration: 3.3998838399999984
>>>> tessdata duration: 5.028869279999998
>>>>
>>>> *-l eng+rus:*
>>>> tessdata_best duration: 42.03311656
>>>> tessdata_fast duration: 4.122473539999999
>>>> tessdata duration: 9.4696169
>>>>
>>>> *-l eng+rus -c tessedit_do_invert=0*
>>>> tessdata_best duration: 33.66898392
>>>> tessdata_fast duration: 1.7703644200000042
>>>> tessdata duration: 6.849705899999998
>>>>
>>>> tested with script:
>>>>
>>>> https://github.com/tesseract-ocr/tesseract/issues/263#issuecomment-536197289
>>>>
>>>> I built tesseract  with cmake and clang 10 with VS 2017 compatibility.
>>>>
>>>> Zdenko
>>>>
>>>>
>>>> po 13. 4. 2020 o 9:50 Ravil R <[email protected]> napísal(a):
>>>>
>>>>> Sorry, I have just now seen your full answer with the questions,
>>>>> yesterday i've just got an email with the advice to go to the forum, that 
>>>>> I
>>>>> did.
>>>>> Now the answers
>>>>> 1) I tested the latest 5.0.0-alpha build using all types of data
>>>>> files, modern: best, fast, normal and old: for 3.0 version
>>>>> 2) Yesterday I also tested 3.05 (with old tess data files) and 4.0
>>>>> versions (both with old data file and modern "Fast" data files)
>>>>> 3) my PC is notebook i7-7700HQ, 32 GB, Windows 10, MS VC 2015. During
>>>>> the recognition, one core is fully loaded.
>>>>> 4) I read issues regarding performance but didn't find them useful,
>>>>> when someone complains that 2 seconds is too slow it just makes me 
>>>>> laughing.
>>>>> 5) 2 minutes for page recognition with "Fast" data is an approximate
>>>>> value, if a tested app is compiled using Release build it is 30% faster,
>>>>> but still very slow. "Best" data files recognition takes around 5 minutes.
>>>>> 6) Tesseract version doesn't significantly affect the results
>>>>> 7) Old data files have the size around the size of "best" data files,
>>>>> work a little faster than "fast" data files but produce output results
>>>>> worse than "fast". So quality of the recognition is raising.
>>>>>
>>>>> понедельник, 13 апреля 2020 г., 10:08:08 UTC+3 пользователь zdenop
>>>>> написал:
>>>>>>
>>>>>> Why you decided to ignore instructions in comment
>>>>>>
>>>>>> https://github.com/tesseract-ocr/tesseract/issues/2946#issuecomment-612613461
>>>>>> ?
>>>>>> Why we should care about your problems if you do not care?
>>>>>>
>>>>>> Zdenko
>>>>>>
>>>>>>
>>>>>> ne 12. 4. 2020 o 16:00 Ravil R <[email protected]> napísal(a):
>>>>>>
>>>>>>> I have my own simple Windows dll based on tesseractmain,cpp code. It
>>>>>>> works fine since Tesseract 3x (now I moved it the latest 5 build) and 
>>>>>>> the
>>>>>>> only issue still persists is its low speed - 1 page TIFF takes around 2
>>>>>>> minutes even with the Fast version of tessdata ('eng+rus'). Is this how 
>>>>>>> it
>>>>>>> actually works or there is something I don't understand?
>>>>>>> Almost all the time takes this line:
>>>>>>> api.ProcessPages("c:\\1.tif", NULL, 0, NULL);
>>>>>>> Sample file is attached
>>>>>>>
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>>>>>>>
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