1. git clone https://github.com/Shreeshrii/tesstrain-sanPlusMinus 2. cd tesstrain-sanPlusMinus 3. nohup make training MODEL_NAME=sanPlusMinus START_MODEL=san TESSDATA=/home/ubuntu/tessdata_best MAX_ITERATIONS=500000 LANG_TYPE=Indic DEBUG_INTERVAL=-1 > plot/sanPlusMinus.LOG &
In the last command which starts training, change the TESSDATA directory to point to wherever you have the tessdata_best/san.traineddata model. On Monday, November 30, 2020 at 8:55:54 PM UTC+5:30 [email protected] wrote: > Shree I have gone through it, but I might need proper workflow to > understand the in depth of the training model process of sanskrit in > devanagari script, can you suggest any tutorial for the same, and what are > your views over the pyimagesearch tutorials, can i purchase the OCR expert > bundle for it. > > Regards, > > On Sun, Nov 15, 2020 at 8:44 AM Shree Devi Kumar <[email protected]> > wrote: > >> I have updated the repo to use latest version of tesstrain. Also added a >> plotting option to see the results of training. >> >> I have used only synthetic images in Devanagari script. >> >> For Sanskrit iAST + Devanagari, use script/Devanagari as start model. >> >> On Fri, Nov 13, 2020, 11:26 Shree Devi Kumar <[email protected]> wrote: >> >>> Looks like it was marked as private. Please check now. >>> >>> On Fri, Nov 13, 2020 at 10:56 AM shreyansh dwivedi <[email protected]> >>> wrote: >>> >>>> Hello Shree, >>>> The mentioned repository does not exist, please check the screenshots. >>>> [image: image.png] >>>> >>>> Regards, >>>> >>>> >>>> On Thu, Nov 12, 2020 at 8:45 PM Shree Devi Kumar <[email protected]> >>>> wrote: >>>> >>>>> You can clone https://github.com/Shreeshrii/tesstrain-sanPlusMinus >>>>> and then add your owm training data and try. >>>>> >>>>> >>>>> <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail> >>>>> Virus-free. >>>>> www.avg.com >>>>> <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail> >>>>> >>>>> <#m_5928582040469128243_m_2050894167069606817_m_-5847110333017999354_m_-2540647835997091790_m_-2272527271259692908_DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> >>>>> >>>>> On Thu, Nov 12, 2020 at 4:08 PM Shree Devi Kumar <[email protected]> >>>>> wrote: >>>>> >>>>>> Please see tesseract-ocr/tesstrain repo >>>>>> >>>>>> You need line images and their groundtruth text and the makefile will >>>>>> make box, lstmf and do the training. >>>>>> >>>>>> Many blog posts and tutorials about tesseract training are for >>>>>> tesseract 3.0x. They will not work for Devanagari. >>>>>> >>>>>> You can also look at tesstutorial for 4.0. you can try plusminus or >>>>>> replace top layer type of training. >>>>>> >>>>>> For good results you need a lot of training data, eg. 50000 text >>>>>> lines. >>>>>> >>>>>> On Thu, Nov 12, 2020, 12:21 shreyansh dwivedi <[email protected]> >>>>>> wrote: >>>>>> >>>>>>> Hello shree, >>>>>>> Than, what is the way to train the sanskrit along with roman >>>>>>> diacritical and achieve accuracy too or the alternative ways to do >>>>>>> achieve >>>>>>> this ? >>>>>>> >>>>>>> Regards, >>>>>>> >>>>>>> On Thu, Nov 5, 2020 at 8:15 PM Shree Devi Kumar <[email protected]> >>>>>>> wrote: >>>>>>> >>>>>>>> Legacy engine training won't work for Devanagari. The cube engine >>>>>>>> which was used in tesseract for Hindi has been removed. >>>>>>>> >>>>>>>> If you are only training for English and diacritics it may work for >>>>>>>> you. But note that there are no fine-tuning options for it. You have >>>>>>>> to >>>>>>>> train a model from scratch. >>>>>>>> >>>>>>>> ,..... >>>>>>>> >>>>>>>> shapetable, tr etc are all files for legacy engine, 3.0x and before. >>>>>>>> >>>>>>>> It is supported in tesseract4 with --oem 0 >>>>>>>> On Thu, Nov 5, 2020, 17:14 Shree Devi Kumar <[email protected]> >>>>>>>> wrote: >>>>>>>> >>>>>>>>> Are you trying to train for the legacy tesseract engine? >>>>>>>>> >>>>>>>>> On Thu, Nov 5, 2020, 16:46 shreyansh dwivedi <[email protected]> >>>>>>>>> wrote: >>>>>>>>> >>>>>>>>>> hello shree i am attaching the image file , box file and the >>>>>>>>>> train.bash script in this email along with the error generated while >>>>>>>>>> running the script, FYIP currently i am using windows so run the >>>>>>>>>> bash >>>>>>>>>> script on msys2 terminal >>>>>>>>>> font_properties >>>>>>>>>> <https://drive.google.com/file/d/1s8RH4xjLwPjZ_go37F6CF07kT38vqG2s/view?usp=drive_web> >>>>>>>>>> san_NKP_int.inttemp >>>>>>>>>> <https://drive.google.com/file/d/18Plctl6Ia_dLhE-DMCI6zh0-1fCRy53q/view?usp=drive_web> >>>>>>>>>> san_NKP_int.normproto >>>>>>>>>> <https://drive.google.com/file/d/1Apbf1nrpXjGYD1-x4XfxFNLSWqMSCasb/view?usp=drive_web> >>>>>>>>>> san_NKP_int.ocrb.exp0.box >>>>>>>>>> <https://drive.google.com/file/d/1V4neOkxouYuoT0p4uSnp3RgqYmx0VfQK/view?usp=drive_web> >>>>>>>>>> san_NKP_int.ocrb.exp0.png >>>>>>>>>> <https://drive.google.com/file/d/1o-XZg3dZSwsFhrJtfuFOHlcpIvJ5ehlM/view?usp=drive_web> >>>>>>>>>> san_NKP_int.ocrb.exp0.tr >>>>>>>>>> <https://drive.google.com/file/d/1rgiQ8tWcYvxYS3MYgSZ19Wi-ulrudl7c/view?usp=drive_web> >>>>>>>>>> san_NKP_int.ocrb.exp1.box >>>>>>>>>> <https://drive.google.com/file/d/1CeTujdd_sFxgxPCj5ojkWc-riE0Jko0U/view?usp=drive_web> >>>>>>>>>> san_NKP_int.ocrb.exp1.png >>>>>>>>>> <https://drive.google.com/file/d/1S-NK7lG40r3aPsN9m8Fhg_JLgAcfZOeD/view?usp=drive_web> >>>>>>>>>> san_NKP_int.ocrb.exp1.tr >>>>>>>>>> <https://drive.google.com/file/d/1MzAaFkFOAGfBsdFVsvpQd9VuD9H9Srn7/view?usp=drive_web> >>>>>>>>>> san_NKP_int.ocrb.exp2.box >>>>>>>>>> <https://drive.google.com/file/d/1l2uVS73hFw6TjyCQeNFkQ8lYf-KBhjO9/view?usp=drive_web> >>>>>>>>>> san_NKP_int.ocrb.exp2.png >>>>>>>>>> <https://drive.google.com/file/d/1ywDR8j0K-ngGvj0WC0LAQYYkG6M64qDS/view?usp=drive_web> >>>>>>>>>> san_NKP_int.ocrb.exp2.tr >>>>>>>>>> <https://drive.google.com/file/d/1pcYoFkJvO0dFaY5OfuEaZwkyI5wjHobd/view?usp=drive_web> >>>>>>>>>> san_NKP_int.ocrb.exp3.box >>>>>>>>>> <https://drive.google.com/file/d/1zn4ZC4ueDryOW_oAslAIHH5di4zYlaWF/view?usp=drive_web> >>>>>>>>>> san_NKP_int.ocrb.exp3.png >>>>>>>>>> <https://drive.google.com/file/d/1j8hecGX9jVAchwpW5VMXCeIl0bvatMKG/view?usp=drive_web> >>>>>>>>>> san_NKP_int.ocrb.exp3.tr >>>>>>>>>> <https://drive.google.com/file/d/1LQJjrQtCRf3vbmPNpiJnwM_x1q0nWYoh/view?usp=drive_web> >>>>>>>>>> san_NKP_int.ocrb.exp4.box >>>>>>>>>> <https://drive.google.com/file/d/1WP3Oa5mxH0YsdM-HUZnBbh-OyEesWZy_/view?usp=drive_web> >>>>>>>>>> san_NKP_int.ocrb.exp4.png >>>>>>>>>> <https://drive.google.com/file/d/1TNkgDppOo3m5XAVb73evWLEFuH-mhtrW/view?usp=drive_web> >>>>>>>>>> san_NKP_int.ocrb.exp4.tr >>>>>>>>>> <https://drive.google.com/file/d/1hN2ORHCFo47wMw0BrkI77C0bW8ISFCzT/view?usp=drive_web> >>>>>>>>>> san_NKP_int.pffmtable >>>>>>>>>> <https://drive.google.com/file/d/1aIcJA4B-1yJzj54hcD6n-9eWZYBCCss2/view?usp=drive_web> >>>>>>>>>> san_NKP_int.shapetable >>>>>>>>>> <https://drive.google.com/file/d/1R4-yD_bMde_KJqGihH3-Uo9nVE6r-SqU/view?usp=drive_web> >>>>>>>>>> san_NKP_int.traineddata >>>>>>>>>> <https://drive.google.com/file/d/1nvyKsOVLhJs5uP1GcNHIOtqGkIe5Gt87/view?usp=drive_web> >>>>>>>>>> san_NKP_int.unicharset >>>>>>>>>> <https://drive.google.com/file/d/1BqMN29ZH8lTG9ZwkscmER8XkWQv9EQXm/view?usp=drive_web> >>>>>>>>>> train.bash >>>>>>>>>> <https://drive.google.com/file/d/1gUhDqGgjJCY5n4fc0ONNL943Qk-M3QeT/view?usp=drive_web> >>>>>>>>>> unicharset >>>>>>>>>> <https://drive.google.com/file/d/1ZhYZ663FXS2gqegIY2fDG-9IY8-du9Ud/view?usp=drive_web> >>>>>>>>>> below is the error screen shot generated while running the bash >>>>>>>>>> script >>>>>>>>>> [image: image.png] >>>>>>>>>> . >>>>>>>>>> >>>>>>>>>> [image: image.png] >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> On Sat, Oct 31, 2020 at 4:20 PM Shree Devi Kumar < >>>>>>>>>> [email protected]> wrote: >>>>>>>>>> >>>>>>>>>>> >ṣ -> it recognises as ş >>>>>>>>>>> I cannot reproduce the issue. I am getting the following >>>>>>>>>>> >>>>>>>>>>> Line 120: praise of Viṣṇu. Lz. 1388. >>>>>>>>>>> Line 147: lakṣmī XXXIX. 51. >>>>>>>>>>> >>>>>>>>>>> Complete output is attached. It uses >>>>>>>>>>> https://github.com/Shreeshrii/tess5training-sanskrit-iast/blob/main/tessdata/fast/Sanskrit-1017-fast.traineddata >>>>>>>>>>> >>>>>>>>>>> Hello Shree, >>>>>>>>>>> I have a image comprising of sanskrit text and Romal Text >>>>>>>>>>> comprising of diacritical a, ā, ś, Ś, ṛ, ṇ, ṃ, ū, ī, ṭ, ṅ, ḍ, ṛ, ṣ. >>>>>>>>>>> I am >>>>>>>>>>> using the sanskrit_int.tarinedata created by you, it recognises >>>>>>>>>>> sanskrit >>>>>>>>>>> text quite good for properly scanned images but for the diacritical >>>>>>>>>>> part >>>>>>>>>>> only a few characters could be identified namely ā, ū, but for >>>>>>>>>>> ṣ -> it recognises as ş >>>>>>>>>>> >>>>>>>>>>> right now i am using QTBoxEditor to correct the wrongly >>>>>>>>>>> recognised characters like the one above. >>>>>>>>>>> >>>>>>>>>>> I want to ask while training for the new language model some >>>>>>>>>>> rules are defined and one of them is the naming convention od >>>>>>>>>>> image, here >>>>>>>>>>> in this i want to ask what is the font type and how to identify >>>>>>>>>>> which font >>>>>>>>>>> name is used in the image : >>>>>>>>>>> [language name].[font name].exp[number].[file extension] >>>>>>>>>>> >>>>>>>>>>> how to identify what should bethe font name for the image >>>>>>>>>>> for better understanding i am attaching the image file. >>>>>>>>>>> >>>>>>>>>>> On Mon, Oct 19, 2020 at 4:45 PM Shree Devi Kumar < >>>>>>>>>>> [email protected]> wrote: >>>>>>>>>>> >>>>>>>>>>>> Please share the groundtruth for the test images also. >>>>>>>>>>>> >>>>>>>>>>>> Yes, you can certainly try to train on basis of these models. >>>>>>>>>>>> >>>>>>>>>>>> >>>>>>>>>>>> On Mon, Oct 19, 2020, 15:51 shreyansh dwivedi < >>>>>>>>>>>> [email protected]> wrote: >>>>>>>>>>>> >>>>>>>>>>>>> Hello Shree, >>>>>>>>>>>>> Subh navratri, >>>>>>>>>>>>> I used the trained model build by you but unfortunately they >>>>>>>>>>>>> are not giving results, please refer to the picture and the text >>>>>>>>>>>>> inscribed >>>>>>>>>>>>> in it, what if we may build the model on the basis of it. PFA. >>>>>>>>>>>>> >>>>>>>>>>>>> Regards, >>>>>>>>>>>>> Shreyansh Dwivedi >>>>>>>>>>>>> >>>>>>>>>>>>> ---------- Forwarded message --------- >>>>>>>>>>>>> From: Shree Devi Kumar <[email protected]> >>>>>>>>>>>>> Date: Thu, Oct 8, 2020 at 6:18 PM >>>>>>>>>>>>> Subject: Re: [tesseract-ocr] Diacriticals Training >>>>>>>>>>>>> To: tesseract-ocr <[email protected]> >>>>>>>>>>>>> >>>>>>>>>>>>> >>>>>>>>>>>>> I have uploaded the results of various trainings for IAST >>>>>>>>>>>>> (with diacritics) and Devanagari for Sanskrit at >>>>>>>>>>>>> https://github.com/Shreeshrii/tess5training-sanskrit-iast/tree/main/tessdata/best >>>>>>>>>>>>> >>>>>>>>>>>>> . The traineddata files and the corresponding lstm-unicharset has >>>>>>>>>>>>> been >>>>>>>>>>>>> uploaded there. >>>>>>>>>>>>> >>>>>>>>>>>>> The training has been done mostly with line images of >>>>>>>>>>>>> synthetic training data in various fonts. On evaluation datasets >>>>>>>>>>>>> of >>>>>>>>>>>>> synthetic training data, not seen during training, I get a CER of >>>>>>>>>>>>> 2-3%. I >>>>>>>>>>>>> am curious to know how well these perform with real life images. >>>>>>>>>>>>> >>>>>>>>>>>>> I will appreciate if those who are testing can send me a few >>>>>>>>>>>>> of their test images along with the ground truth text. >>>>>>>>>>>>> >>>>>>>>>>>>> >>>>>>>>>>>>> >>>>>>>>>>>>> >>>>>>>>>>>>> >>>>>>>>>>>>> >>>>>>>>>>>>> <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail> >>>>>>>>>>>>> Virus-free. >>>>>>>>>>>>> www.avg.com >>>>>>>>>>>>> <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail> >>>>>>>>>>>>> >>>>>>>>>>>>> <#m_5928582040469128243_m_2050894167069606817_m_-5847110333017999354_m_-2540647835997091790_m_-2272527271259692908_m_-6525389634840191343_m_-5040435921525461297_m_3390908968527288306_m_-3921426355472222782_m_2388715278102219081_m_-5034749088946031926_m_-518494527659819167_m_1074673088079480863_m_-8626291968419235944_m_1597521380095537522_m_1988198995350034268_DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> >>>>>>>>>>>>> >>>>>>>>>>>>> On Mon, Sep 28, 2020 at 12:19 PM Shree Devi Kumar < >>>>>>>>>>>>> [email protected]> wrote: >>>>>>>>>>>>> >>>>>>>>>>>>>> I am currently running a training run based on synthetic >>>>>>>>>>>>>> training data for Sanskrit to support both Devanagari script >>>>>>>>>>>>>> with vedic >>>>>>>>>>>>>> accents as well as iAST (Roman with diacritics support). I will >>>>>>>>>>>>>> share the >>>>>>>>>>>>>> traineddata for you and others who are interested to test how >>>>>>>>>>>>>> well it works >>>>>>>>>>>>>> with real life images. >>>>>>>>>>>>>> >>>>>>>>>>>>>> On Mon, Sep 28, 2020, 10:43 shreyansh dwivedi < >>>>>>>>>>>>>> [email protected]> wrote: >>>>>>>>>>>>>> >>>>>>>>>>>>>>> Hello everyone, >>>>>>>>>>>>>>> I want to train some diacritical which are not present in >>>>>>>>>>>>>>> latin.trained model, apart from latin i used vietnamese and >>>>>>>>>>>>>>> latvian trained >>>>>>>>>>>>>>> model but the some of the diacriticals are missed in those >>>>>>>>>>>>>>> models too, some >>>>>>>>>>>>>>> of missed characters are mentioned below which i need to >>>>>>>>>>>>>>> recognise. >>>>>>>>>>>>>>> ṭ >>>>>>>>>>>>>>> Ṭ >>>>>>>>>>>>>>> ṅ >>>>>>>>>>>>>>> ṭh >>>>>>>>>>>>>>> ḍ >>>>>>>>>>>>>>> ḍh >>>>>>>>>>>>>>> ṇ >>>>>>>>>>>>>>> ṃ >>>>>>>>>>>>>>> ṣ >>>>>>>>>>>>>>> Ḥ >>>>>>>>>>>>>>> ḥ >>>>>>>>>>>>>>> I want to train the above diacritical to recognise the >>>>>>>>>>>>>>> characters in the text image, through the tesseract engine. >>>>>>>>>>>>>>> Any help would be appreciated and from the scratch would be >>>>>>>>>>>>>>> a great way to understand. >>>>>>>>>>>>>>> Thank you! >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> -- >>>>>>>>>>>>>>> You received this message because you are subscribed to the >>>>>>>>>>>>>>> Google Groups "tesseract-ocr" group. >>>>>>>>>>>>>>> To unsubscribe from this group and stop receiving emails >>>>>>>>>>>>>>> from it, send an email to [email protected]. >>>>>>>>>>>>>>> To view this discussion on the web visit >>>>>>>>>>>>>>> https://groups.google.com/d/msgid/tesseract-ocr/CAMREWd6R%2Bec5r%3D77%2BRWGM7PUKZPqqJT%2BkNX6r9zwijvW5sxykQ%40mail.gmail.com >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/CAMREWd6R%2Bec5r%3D77%2BRWGM7PUKZPqqJT%2BkNX6r9zwijvW5sxykQ%40mail.gmail.com?utm_medium=email&utm_source=footer> >>>>>>>>>>>>>>> . >>>>>>>>>>>>>>> >>>>>>>>>>>>>> >>>>>>>>>>>>> >>>>>>>>>>>>> -- >>>>>>>>>>>>> >>>>>>>>>>>>> ____________________________________________________________ >>>>>>>>>>>>> भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com >>>>>>>>>>>>> >>>>>>>>>>>>> -- >>>>>>>>>>>>> You received this message because you are subscribed to the >>>>>>>>>>>>> Google Groups "tesseract-ocr" group. >>>>>>>>>>>>> To unsubscribe from this group and stop receiving emails from >>>>>>>>>>>>> it, send an email to [email protected]. >>>>>>>>>>>>> To view this discussion on the web visit >>>>>>>>>>>>> https://groups.google.com/d/msgid/tesseract-ocr/CAG2NduWRgU8JFRm2RP3ndzrsVVeS%3DFF%2BDg8w3LTkjR_kv9eU7g%40mail.gmail.com >>>>>>>>>>>>> >>>>>>>>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/CAG2NduWRgU8JFRm2RP3ndzrsVVeS%3DFF%2BDg8w3LTkjR_kv9eU7g%40mail.gmail.com?utm_medium=email&utm_source=footer> >>>>>>>>>>>>> . >>>>>>>>>>>>> >>>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> -- >>>>>>>>>>> >>>>>>>>>>> ____________________________________________________________ >>>>>>>>>>> भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com >>>>>>>>>>> >>>>>>>>>>> -- >>>>>>>>>>> You received this message because you are subscribed to the >>>>>>>>>>> Google Groups "tesseract-ocr" group. >>>>>>>>>>> To unsubscribe from this group and stop receiving emails from >>>>>>>>>>> it, send an email to [email protected]. >>>>>>>>>>> To view this discussion on the web visit >>>>>>>>>>> https://groups.google.com/d/msgid/tesseract-ocr/CAG2NduUFM%3D%3DW%2BpybX69BpLgvEWa5a%3DjG5X4sMEk4T0C98P5sYA%40mail.gmail.com >>>>>>>>>>> >>>>>>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/CAG2NduUFM%3D%3DW%2BpybX69BpLgvEWa5a%3DjG5X4sMEk4T0C98P5sYA%40mail.gmail.com?utm_medium=email&utm_source=footer> >>>>>>>>>>> . >>>>>>>>>>> >>>>>>>>>> -- >>>>>>>>>> You received this message because you are subscribed to the >>>>>>>>>> Google Groups "tesseract-ocr" group. >>>>>>>>>> To unsubscribe from this group and stop receiving emails from it, >>>>>>>>>> send an email to [email protected]. >>>>>>>>>> To view this discussion on the web visit >>>>>>>>>> https://groups.google.com/d/msgid/tesseract-ocr/CAMREWd7c14tPPHB2xqJf1FvCgEep_pr6CMYLhuSoFT9GNsqvtA%40mail.gmail.com >>>>>>>>>> >>>>>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/CAMREWd7c14tPPHB2xqJf1FvCgEep_pr6CMYLhuSoFT9GNsqvtA%40mail.gmail.com?utm_medium=email&utm_source=footer> >>>>>>>>>> . >>>>>>>>>> >>>>>>>>> -- >>>>>>>> You received this message because you are subscribed to the Google >>>>>>>> Groups "tesseract-ocr" group. >>>>>>>> To unsubscribe from this group and stop receiving emails from it, >>>>>>>> send an email to [email protected]. >>>>>>>> To view this discussion on the web visit >>>>>>>> https://groups.google.com/d/msgid/tesseract-ocr/CAG2NduUJu%2B4fRB2vL0T_%3D6CMT4CZ%3DRccGRw24Pnc84QcTxtDLQ%40mail.gmail.com >>>>>>>> >>>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/CAG2NduUJu%2B4fRB2vL0T_%3D6CMT4CZ%3DRccGRw24Pnc84QcTxtDLQ%40mail.gmail.com?utm_medium=email&utm_source=footer> >>>>>>>> . >>>>>>>> >>>>>>> -- >>>>>>> You received this message because you are subscribed to the Google >>>>>>> Groups "tesseract-ocr" group. >>>>>>> To unsubscribe from this group and stop receiving emails from it, >>>>>>> send an email to [email protected]. >>>>>>> To view this discussion on the web visit >>>>>>> https://groups.google.com/d/msgid/tesseract-ocr/CAMREWd45DEt_y5EcXLQR0_gecJdEPJY1fNyGkmMDugYnGCDG%2BQ%40mail.gmail.com >>>>>>> >>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/CAMREWd45DEt_y5EcXLQR0_gecJdEPJY1fNyGkmMDugYnGCDG%2BQ%40mail.gmail.com?utm_medium=email&utm_source=footer> >>>>>>> . >>>>>>> >>>>>> >>>>> >>>>> -- >>>>> >>>>> ____________________________________________________________ >>>>> भजन - 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