Only documentation we have is code itself ;-) But you can start with
searching for opencl issue in tesseract issue tracker on github...

Zdenko


pi 27. 4. 2018 o 10:56 Janpieter Sollie <[email protected]>
napísal(a):

> I'd be glad to help.  using tesseract 4, I am able to perform a 90%
> accuracy on OpenCL.  I do not have any experience with neural networks (i'm
> just a high-school (no college educated IT-support guy with some knowledge
> about OpenCL), so can you recommend me some documentation to understand the
> engine of tesseract 4?
>
> 2018-04-27 10:50 GMT+02:00 Zdenko Podobny <[email protected]>:
>
>> If you have experience your help will be warmly welcomed.
>> OpenCL is not maintained and it is on good way to be removed if
>> maintainer/contributor will not be found.
>> Anyway it is not used extensively, so there is a place for improvement,
>>
>> Zdenko
>>
>>
>> pi 27. 4. 2018 o 10:21 Janpieter Sollie <[email protected]>
>> napísal(a):
>>
>>> Hello everyone,
>>>
>>> I have a question about the openCL selection procedure of tesseract:
>>>
>>> my output:
>>>
>>> [DS] Profile read from file (tesseract_opencl_profile_devices.dat).
>>> [DS] Device[1] 1:Fiji score is 0.202927
>>> [DS] Device[2] 1:Ellesmere score is 1.468799
>>> [DS] Device[3] 1:Ellesmere score is 1.468799
>>> [DS] Device[4] 1:Bonaire score is 1.533776
>>> [DS] Device[5] 1:Tonga score is 0.184236
>>> [DS] Device[6] 0:(null) score is 1.123015
>>> [DS] Selected Device[5]: "Tonga" (OpenCL)
>>>
>>> Ugh, this is weird .. why does tesseract take my Tonga instead of my
>>> fiji device?  can I force it to use the fiji?
>>> I understand the ellesmere have lower access times (they 're behind a
>>> pcie switch), but fiji and tonga are both directly connected via a pcie 2.0
>>> X16 bus.  Do we need a better tesseract selection procedure?
>>> If so, I'm quite skilled at opencl, I'd be glad to help!
>>>
>>> kind regards,
>>>
>>> Janpieter
>>>
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