combine_tessdata(1)
<https://manpages.debian.org/unstable/tesseract-ocr/combine_tessdata.1.en.html>
is
the main program to combine/extract/overwrite/list/compact tessdata
components in [lang].traineddata files.

Options to list network details

*-d* *.traineddata* *FILE*...: Lists directory of components from the
.traineddata file.

*-l* *.traineddata* *FILE*...: List the network information.

On Sat, Sep 16, 2023, 2:11 PM Shree Devi Kumar <shreesh...@gmail.com> wrote:

> The language name headings seem to be missing from the tessdoc page for
> tessdata_fast
>
> Please revert to an older version of page from history
>
> On Sat, Sep 16, 2023, 2:08 PM Shree Devi Kumar <shreesh...@gmail.com>
> wrote:
>
>>
>> https://github.com/tesseract-ocr/tessdoc/blob/main/Data-Files-in-tessdata_best.md
>>
>>
>> https://github.com/tesseract-ocr/tessdoc/blob/main/Data-Files-in-tessdata_fast.md
>>
>> Version string : 4.00.00alpha : [Network specification] for tessdata_best
>>
>> tessdata_best models - *incomplete list*, only till Kannada.
>>
>> The flags are TrainingFlags from lstmrecognizer.h. 0x40 is compress
>> unicharset and 1 is integer mode. The one from best has flags 40 =
>> compress + not integer mode.
>>
>> afr
>> Version 
>> string:4.00.00alpha:afr:synth20170629:[1,36,0,1Ct3,3,16Mp3,3Lfys64Lfx96Lrx96Lfx512O1c1]
>> LSTM training info:Network 
>> str:[1,36,0,1Ct3,3,16Mp3,3Lfys64Lfx96Lrx96Lfx512O1c1],
>> flags=40, iteration=286700, sample_iteration=286724, null_char=95,
>> learning_rate=0.001, momentum=0.5, adam_beta=0.999
>>
>> amh
>> Version string:4.00.00alpha:amh
>> LSTM training info:Network 
>> str:[1,36,0,1Ct3,3,16Mp3,3Lfys48Lfx96Lrx96Lfx192O1c1],
>> flags=40, iteration=6112200, sample_iteration=6112270, null_char=284,
>> learning_rate=0.001, momentum=0.5, adam_beta=0.999
>>
>>
>>
>> On Fri, Sep 15, 2023, 9:50 PM Des Bw <desaleg...@gmail.com> wrote:
>>
>>> For the last couple of days, I have been trying to train the amh data to
>>> include some missing characters.
>>>
>>> I have seen that Shree was able to add the Norwegian Æ by removing the
>>> top layer and training on it (
>>> https://groups.google.com/g/tesseract-ocr/c/l33zsTEPj70/m/wPzPv6HiEQAJ
>>> ).
>>>
>>> I was trying to do the same. But, the traineddata in Amharic doesn't
>>> contain the net_spec information with the version line.
>>>
>>> Version:4.00.00alpha:amh:synth20170629
>>>
>>> 17:lstm:size=3356155, offset=192
>>>
>>> 18:lstm-punc-dawg:size=3154, offset=3356347
>>>
>>> 19:lstm-word-dawg:size=5007810, offset=3359501
>>>
>>> 20:lstm-number-dawg:size=810, offset=8367311
>>>
>>> 21:lstm-unicharset:size=18906, offset=8368121
>>>
>>> 22:lstm-recoder:size=2578, offset=8387027
>>>
>>> 23:version:size=30, offset=8389605
>>>
>>>
>>> Can sb  (@Shree, please) help me on how to get the net_spec, or how to
>>> proceed to add a layer to introduce the missing characters?
>>>
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>>> .
>>>
>>

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