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]>
> napĂ­sal(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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