Thank you so much dear Shree. You are a life saver. 

On Saturday, September 16, 2023 at 11:25:51 PM UTC+3 shree wrote:

> 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 <shree...@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 <shree...@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 <desal...@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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>>>>  
>>>> <https://groups.google.com/d/msgid/tesseract-ocr/5bedab52-2f9b-44ab-a97a-e2033d0e92den%40googlegroups.com?utm_medium=email&utm_source=footer>
>>>> .
>>>>
>>>

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