training text from a range of characters/word
> list, similar to
>
> The tool language_metrics runs Tesseract OCR over images of random word
>> sequences, which are created out of the supplied wordlist,
>
>
> On Mon, Mar 16, 2020 at 2:32 AM Wincent Balin
> wrote:
>
&
Maybe http://dasi.cnr.it does have something usable?
Shree Devi Kumar schrieb am So., 15. März 2020,
16:55:
> There is no online corpus for xsa that I could find.
>
> Two of the fonts you sent are legacy fonts, that is they map English
> letters to ancient Arabic characters.
>
> Are there any co
wrong with this approach?
Am Montag, 17. Februar 2020 08:23:38 UTC+1 schrieb shree:
>
> Try lstmtraining again for 1000 iterations with --debug_level -1
>
>
>
>
> On Mon, Feb 17, 2020, 01:46 Wincent Balin > wrote:
>
>> Hello all,
>>
>> after prepa
Hello all,
after preparing ground truth files for Akkadian language, I started the
training using the *tesstrain *Makefile, but over 400 iterations later,
the output is like following:
At iteration 4437804/4478900/4478900, Mean rms=1.453%, delta=9.455%, char
train=121.423%, word train=87.4
Hello Shree,
I just uploaded new version of the package. About the fixes:
1. --fonts_dir: I added the default value of the fonts directory on
different platforms.
2. Amount of threads: I also capped the maximal amount of threads to the
number of CPUs.
Would you like to re-test it, please?
t (*Range*: U+11600..U+1165F;
> (96 code points)) and found that `ocrevalutf8 accuracy` does not work
> well for it. Any suggestions ...
>
> Shree
>
> On Sunday, January 5, 2020 at 2:22:50 AM UTC+5:30, Wincent Balin wrote:
>>
>> Hi all,
>>
>> I would like t
t;
> On Sun, Jan 5, 2020, 02:22 Wincent Balin > wrote:
>
>> Hi all,
>>
>> I would like to announce pytesstrain, a collection of Tesseract training
>> tools, as well as the underlying library. The tools were created while
>> training Tesseract to recogni
Hi all,
I would like to announce pytesstrain, a collection of Tesseract training
tools, as well as the underlying library. The tools were created while
training Tesseract to recognise Akkadian language (stay tuned for more
posts!), to solve the problems that emerged in the process.
You can ins
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