Please see https://github.com/tesseract-ocr/tesseract/issues/1579
and continue further discussion there.
On Tue, Oct 2, 2018 at 9:52 AM Shree Devi Kumar <shreesh...@gmail.com>
wrote:
> There is an open issue with similar problem in issue tracker. It will help
> to move the discussion there.
>
> I will test with your sample image and also post link to the issue.
>
> On Tue, 2 Oct 2018, 01:01 Rujrawee K, <hevalinatroot...@gmail.com> wrote:
>
>>
>> ok, Shree, I miscommunicated with my colleague, he said this problem
>> occurred on both default and custom trained model, I mean no matter what
>> model are used if I trained in single language with no other language using
>> in the training process and use it with other model with "-l" and having
>> both language in the same line it will read in 1 language but works fine on
>> single language in that line(please find result below for clearer
>> explanation)
>> my answers are as below :
>>
>> 1. we trained for using with LSTM
>> 2. we used "tessdata_best"
>> 3. code as show below
>>
>> config_name = ('-l eng+tha --oem 1 --psm 3 -c
>> preserve_interword_spaces=1')
>> im_name = cv2.imread(img_path_name, cv2.IMREAD_COLOR)
>> text_name = pytesseract.image_to_string(im_name,config=config_name)
>> print (text_name)
>>
>>
>> [image: en_th.jpg]
>>
>>
>> *The result is : * [image: result.jpg]
>>
>> as you can see if the input image have both language(eng+thai) in the
>> same line it will read only in 1 language but when having single language
>> in that line it will read in correct language these are both default
>> model(same result with custom model)
>>
>> เมื่อ วันอังคารที่ 2 ตุลาคม ค.ศ. 2018 10 นาฬิกา 14 นาที 11 วินาที UTC+7,
>> shree เขียนว่า:
>>>
>>> 1. Have you trained for legacy tesseract engine or for LSTM?
>>>
>>> 2. Which default traineddata are you using?
>>>
>>> 3. For us to test, please provide an image and the commands used for
>>> testing and the output you got.
>>>
>>> On Mon, Oct 1, 2018 at 11:08 PM Rujrawee K <hevalina...@gmail.com>
>>> wrote:
>>>
>>>> Hi Shree,
>>>> Yes we tried that and it's working ok, but my problem is when I'm
>>>> trying to train a new thai model and then use it with default eng model
>>>> from tess4 like "-l custom_tha+eng" it can only read in 1 language that
>>>> comes first in the command, in this case "custom_tha" and result is the
>>>> same for "-l eng+custom_tha" it will only read "eng" but when using both
>>>> languages default model from tess4 it can read both languages at the same
>>>> time with out a problem except the accuracy. do I missed something?
>>>>
>>>> เมื่อ วันอังคารที่ 2 ตุลาคม ค.ศ. 2018 8 นาฬิกา 26 นาที 48 วินาที UTC+7,
>>>> shree เขียนว่า:
>>>>>
>>>>> Have you tried
>>>>>
>>>>> https://github.com/tesseract-ocr/tessdata_fast/blob/master/script/Thai.traineddata
>>>>>
>>>>> which is supposed to support both Thai and English
>>>>>
>>>>> On Mon, Oct 1, 2018 at 5:33 AM Rujrawee K <hevalina...@gmail.com>
>>>>> wrote:
>>>>>
>>>>>> Hi,
>>>>>>
>>>>>> After I trained my custom Thai language model to use in my tesseract
>>>>>> 4, it's working fine(not talking about the accuracy) but it cannot read
>>>>>> the
>>>>>> English language due to not included in the model so I'm trying to
>>>>>> combine
>>>>>> my custom tha lang with default eng lang with "-l custom_tha+eng" the
>>>>>> output shows that the tesseract still cannot read english texts but when
>>>>>> I
>>>>>> swap to "-l eng+custom_tha" it can read english text now but not the
>>>>>> thai
>>>>>> texts, it's like that tesseract only use 1 model to read the text. but
>>>>>> when
>>>>>> using both tha and eng default model from tesseract 4 it's working fine.
>>>>>> *my question is* why and any solution/suggestion for this problem?
>>>>>>
>>>>>> Regards
>>>>>>
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>>>>>
>>>>>
>>>>> --
>>>>>
>>>>> ____________________________________________________________
>>>>> भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com
>>>>>
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>>>
>>>
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