>I pulled the current head of master branch but it doesn't seem to contain the merges you pointed that have been merged 3 to 4 days ago. How can I get them?
I usually do `git pull origin master` to get all latest changes from the master branch. On Fri, Jul 19, 2019 at 2:35 PM ElGato ElMago <elmagoelg...@gmail.com> wrote: > Lorenzo, > > We both have got the same case. It seems a solution to this problem would > save a lot of people. > > Shree, > > I pulled the current head of master branch but it doesn't seem to contain > the merges you pointed that have been merged 3 to 4 days ago. How can I > get them? > > ElMagoElGato > > 2019年7月19日金曜日 17時02分53秒 UTC+9 Lorenzo Blz: >> >> >> >> PSM 7 was a partial solution for my specific case, it improved the >> situation but did not solve it. Also I could not use it in some other cases. >> >> The proper solution is very likely doing more training with more data, >> some data augmentation might probably help if data is scarce. >> Also doing less training might help is the training is not done correctly. >> >> There are also similar issues on github: >> >> https://github.com/tesseract-ocr/tesseract/issues/1465 >> ... >> >> The LSTM engine works like this: it scans the image and for each "pixel >> column" does this: >> >> M M M M N M M M [BLANK] F F F F >> >> (here i report only the highest probability characters) >> >> In the example above an M is partially seen as an N, this is normal, and >> another step of the algorithm (beam search I think) tries to aggregate back >> the correct characters. >> >> I think cases like this: >> >> M M M N N N M M >> >> are what gives the phantom characters. More training should reduce the >> source of the problem or a painful analysis of the bounding boxes might fix >> some cases. >> >> >> I used the attached script for the boxes. >> >> >> Lorenzo >> >> >> >> >> Il giorno ven 19 lug 2019 alle ore 07:25 ElGato ElMago < >> elmago...@gmail.com> ha scritto: >> >>> Hi, >>> >>> Let's call them phantom characters then. >>> >>> Was psm 7 the solution for the issue 1778? None of the psm option >>> didn't solve my problem though I see different output. >>> >>> I use tesseract 5.0-alpha mostly but 4.1 showed the same results >>> anyway. How did you get bounding box for each character? Alto and lstmbox >>> only show bbox for a group of characters. >>> >>> ElMagoElGato >>> >>> 2019年7月17日水曜日 18時58分31秒 UTC+9 Lorenzo Blz: >>> >>>> Phantom characters here for me too: >>>> >>>> https://github.com/tesseract-ocr/tesseract/issues/1778 >>>> >>>> Are you using 4.1? Bounding boxes were fixed in 4.1 maybe this was also >>>> improved. >>>> >>>> I wrote some code that uses symbols iterator to discard symbols that >>>> are clearly duplicated: too small, overlapping, etc. But it was not easy to >>>> make it work decently and it is not 100% reliable with false negatives and >>>> positives. I cannot share the code and it is quite ugly anyway. >>>> >>>> Here there is another MRZ model with training data: >>>> >>>> https://github.com/DoubangoTelecom/tesseractMRZ >>>> >>>> >>>> >>>> >>>> Lorenzo >>>> >>>> >>>> Il giorno mer 17 lug 2019 alle ore 11:26 Claudiu <csaf...@gmail.com> >>>> ha scritto: >>>> >>>>> I’m getting the “phantom character” issue as well using the OCRB that >>>>> Shree trained on MRZ lines. For example for a 0 it will sometimes add both >>>>> a 0 and an O to the output , thus outputting 45 characters total instead >>>>> of >>>>> 44. I haven’t looked at the bounding box output yet but I suspect a >>>>> phantom >>>>> thin character is added somewhere that I can discard .. or maybe two chars >>>>> will have the same bounding box. If anyone else has fixed this issue >>>>> further up (eg so the output doesn’t contain the phantom characters in the >>>>> first place) id be interested. >>>>> >>>>> On Wed, Jul 17, 2019 at 10:01 AM ElGato ElMago <elmago...@gmail.com> >>>>> wrote: >>>>> >>>>>> Hi, >>>>>> >>>>>> I'll go back to more of training later. Before doing so, I'd like to >>>>>> investigate results a little bit. The hocr and lstmbox options give some >>>>>> details of positions of characters. The results show positions that >>>>>> perfectly correspond to letters in the image. But the text output >>>>>> contains >>>>>> a character that obviously does not exist. >>>>>> >>>>>> Then I found a config file 'lstmdebug' that generates far more >>>>>> information. I hope it explains what happened with each character. I'm >>>>>> yet to read the debug output but I'd appreciate it if someone could tell >>>>>> me >>>>>> how to read it because it's really complex. >>>>>> >>>>>> Regards, >>>>>> ElMagoElGato >>>>>> >>>>>> 2019年6月14日金曜日 19時58分49秒 UTC+9 shree: >>>>>> >>>>>>> See https://github.com/Shreeshrii/tessdata_MICR >>>>>>> >>>>>>> I have uploaded my files there. >>>>>>> >>>>>>> https://github.com/Shreeshrii/tessdata_MICR/blob/master/MICR.sh >>>>>>> is the bash script that runs the training. >>>>>>> >>>>>>> You can modify as needed. Please note this is for legacy/base >>>>>>> tesseract --oem 0. >>>>>>> >>>>>>> On Fri, Jun 14, 2019 at 1:26 PM ElGato ElMago <elmago...@gmail.com> >>>>>>> wrote: >>>>>>> >>>>>>>> Thanks a lot, shree. It seems you know everything. >>>>>>>> >>>>>>>> I tried the MICR0.traineddata and the first two mcr.traineddata. >>>>>>>> The last one was blocked by the browser. Each of the traineddata had >>>>>>>> mixed >>>>>>>> results. All of them are getting symbols fairly good but getting >>>>>>>> spaces >>>>>>>> randomly and reading some numbers wrong. >>>>>>>> >>>>>>>> MICR0 seems the best among them. Did you suggest that you'd be >>>>>>>> able to update it? It gets tripple D very often where there's only >>>>>>>> one, >>>>>>>> and so on. >>>>>>>> >>>>>>>> Also, I tried to fine tune from MICR0 but I found that I need to >>>>>>>> change the language-specific.sh. It specifies some parameters for each >>>>>>>> language. Do you have any guidance for it? >>>>>>>> >>>>>>>> 2019年6月14日金曜日 1時48分40秒 UTC+9 shree: >>>>>>>>> >>>>>>>>> see >>>>>>>>> http://www.devscope.net/Content/ocrchecks.aspx >>>>>>>>> https://github.com/BigPino67/Tesseract-MICR-OCR >>>>>>>>> >>>>>>>>> https://groups.google.com/d/msg/tesseract-ocr/obWI4cz8rXg/6l82hEySgOgJ >>>>>>>>> >>>>>>>>> >>>>>>>>> On Mon, Jun 10, 2019 at 11:21 AM ElGato ElMago < >>>>>>>>> elmago...@gmail.com> wrote: >>>>>>>>> >>>>>>>>>> That'll be nice if there's traineddata out there but I didn't >>>>>>>>>> find any. I see free fonts and commercial OCR software but not >>>>>>>>>> traineddata. Tessdata repository obviously doesn't have one, either. >>>>>>>>>> >>>>>>>>>> 2019年6月8日土曜日 1時52分10秒 UTC+9 shree: >>>>>>>>>>> >>>>>>>>>>> Please also search for existing MICR traineddata files. >>>>>>>>>>> >>>>>>>>>>> On Thu, Jun 6, 2019 at 1:09 PM ElGato ElMago < >>>>>>>>>>> elmago...@gmail.com> wrote: >>>>>>>>>>> >>>>>>>>>>>> So I did several tests from scratch. In the last attempt, I >>>>>>>>>>>> made a training text with 4,000 lines in the following format, >>>>>>>>>>>> >>>>>>>>>>>> 110004310510< <02 :4002=0181:801= 0008752 <00039 ;0000001000; >>>>>>>>>>>> >>>>>>>>>>>> >>>>>>>>>>>> and combined it with eng.digits.training_text in which symbols >>>>>>>>>>>> are converted to E13B symbols. This makes about 12,000 lines of >>>>>>>>>>>> training >>>>>>>>>>>> text. It's amazing that this thing generates a good reader out of >>>>>>>>>>>> nowhere. But then it is not very good. For example: >>>>>>>>>>>> >>>>>>>>>>>> <01 :1901=1386:021= 1111001<10001< ;0000090134; >>>>>>>>>>>> >>>>>>>>>>>> is a result on the image attached. It's close but the last '<' >>>>>>>>>>>> in the result text doesn't exist on the image. It's a small >>>>>>>>>>>> failure but it >>>>>>>>>>>> causes a greater trouble in parsing. >>>>>>>>>>>> >>>>>>>>>>>> What would you suggest from here to increase accuracy? >>>>>>>>>>>> >>>>>>>>>>>> - Increase the number of lines in the training text >>>>>>>>>>>> - Mix up more variations in the training text >>>>>>>>>>>> - Increase the number of iterations >>>>>>>>>>>> - Investigate wrong reads one by one >>>>>>>>>>>> - Or else? >>>>>>>>>>>> >>>>>>>>>>>> Also, I referred to engrestrict*.* and could generate similar >>>>>>>>>>>> result with the fine-tuning-from-full method. It seems a bit >>>>>>>>>>>> faster to get >>>>>>>>>>>> to the same level but it also stops at a 'good' level. I can go >>>>>>>>>>>> with >>>>>>>>>>>> either way if it takes me to the bright future. >>>>>>>>>>>> >>>>>>>>>>>> Regards, >>>>>>>>>>>> ElMagoElGato >>>>>>>>>>>> >>>>>>>>>>>> 2019年5月30日木曜日 15時56分02秒 UTC+9 ElGato ElMago: >>>>>>>>>>>>> >>>>>>>>>>>>> Thanks a lot, Shree. I'll look it in. >>>>>>>>>>>>> >>>>>>>>>>>>> 2019年5月30日木曜日 14時39分52秒 UTC+9 shree: >>>>>>>>>>>>>> >>>>>>>>>>>>>> See https://github.com/Shreeshrii/tessdata_shreetest >>>>>>>>>>>>>> >>>>>>>>>>>>>> Look at the files engrestrict*.* and also >>>>>>>>>>>>>> https://github.com/Shreeshrii/tessdata_shreetest/blob/master/eng.digits.training_text >>>>>>>>>>>>>> >>>>>>>>>>>>>> Create training text of about 100 lines and finetune for 400 >>>>>>>>>>>>>> lines >>>>>>>>>>>>>> >>>>>>>>>>>>>> >>>>>>>>>>>>>> >>>>>>>>>>>>>> On Thu, May 30, 2019 at 9:38 AM ElGato ElMago < >>>>>>>>>>>>>> elmago...@gmail.com> wrote: >>>>>>>>>>>>>> >>>>>>>>>>>>>>> I had about 14 lines as attached. How many lines would you >>>>>>>>>>>>>>> recommend? >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> Fine tuning gives much better result but it tends to pick >>>>>>>>>>>>>>> other character than in E13B that only has 14 characters, 0 >>>>>>>>>>>>>>> through 9 and 4 >>>>>>>>>>>>>>> symbols. I thought training from scratch would eliminate such >>>>>>>>>>>>>>> confusion. >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> 2019年5月30日木曜日 10時43分08秒 UTC+9 shree: >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> For training from scratch a large training text and >>>>>>>>>>>>>>>> hundreds of thousands of iterations are recommended. >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> If you are just fine tuning for a font try to follow >>>>>>>>>>>>>>>> instructions for training for impact, with your font. >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> On Thu, 30 May 2019, 06:05 ElGato ElMago, < >>>>>>>>>>>>>>>> elmago...@gmail.com> wrote: >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> Thanks, Shree. >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> Yes, I saw the instruction. The steps I made are as >>>>>>>>>>>>>>>>> follows: >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> Using tesstrain.sh: >>>>>>>>>>>>>>>>> src/training/tesstrain.sh --fonts_dir /usr/share/fonts >>>>>>>>>>>>>>>>> --lang eng --linedata_only \ >>>>>>>>>>>>>>>>> --noextract_font_properties --langdata_dir ../langdata \ >>>>>>>>>>>>>>>>> --tessdata_dir ./tessdata \ >>>>>>>>>>>>>>>>> --fontlist "E13Bnsd" --output_dir >>>>>>>>>>>>>>>>> ~/tesstutorial/e13beval \ >>>>>>>>>>>>>>>>> --training_text ../langdata/eng/eng.training_e13b_text >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> Training from scratch: >>>>>>>>>>>>>>>>> mkdir -p ~/tesstutorial/e13boutput >>>>>>>>>>>>>>>>> src/training/lstmtraining --debug_interval 100 \ >>>>>>>>>>>>>>>>> --traineddata >>>>>>>>>>>>>>>>> ~/tesstutorial/e13beval/eng/eng.traineddata \ >>>>>>>>>>>>>>>>> --net_spec '[1,36,0,1 Ct3,3,16 Mp3,3 Lfys48 Lfx96 Lrx96 >>>>>>>>>>>>>>>>> Lfx256 O1c111]' \ >>>>>>>>>>>>>>>>> --model_output ~/tesstutorial/e13boutput/base >>>>>>>>>>>>>>>>> --learning_rate 20e-4 \ >>>>>>>>>>>>>>>>> --train_listfile >>>>>>>>>>>>>>>>> ~/tesstutorial/e13beval/eng.training_files.txt \ >>>>>>>>>>>>>>>>> --eval_listfile >>>>>>>>>>>>>>>>> ~/tesstutorial/e13beval/eng.training_files.txt \ >>>>>>>>>>>>>>>>> --max_iterations 5000 >>>>>>>>>>>>>>>>> &>~/tesstutorial/e13boutput/basetrain.log >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> Test with base_checkpoint: >>>>>>>>>>>>>>>>> src/training/lstmeval --model >>>>>>>>>>>>>>>>> ~/tesstutorial/e13boutput/base_checkpoint \ >>>>>>>>>>>>>>>>> --traineddata >>>>>>>>>>>>>>>>> ~/tesstutorial/e13beval/eng/eng.traineddata \ >>>>>>>>>>>>>>>>> --eval_listfile >>>>>>>>>>>>>>>>> ~/tesstutorial/e13beval/eng.training_files.txt >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> Combining output files: >>>>>>>>>>>>>>>>> src/training/lstmtraining --stop_training \ >>>>>>>>>>>>>>>>> --continue_from >>>>>>>>>>>>>>>>> ~/tesstutorial/e13boutput/base_checkpoint \ >>>>>>>>>>>>>>>>> --traineddata >>>>>>>>>>>>>>>>> ~/tesstutorial/e13beval/eng/eng.traineddata \ >>>>>>>>>>>>>>>>> --model_output ~/tesstutorial/e13boutput/eng.traineddata >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> Test with eng.traineddata: >>>>>>>>>>>>>>>>> tesseract e13b.png out --tessdata-dir >>>>>>>>>>>>>>>>> /home/koichi/tesstutorial/e13boutput >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> The training from scratch ended as: >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> At iteration 561/2500/2500, Mean rms=0.159%, delta=0%, >>>>>>>>>>>>>>>>> char train=0%, word train=0%, skip ratio=0%, New best char >>>>>>>>>>>>>>>>> error = 0 wrote >>>>>>>>>>>>>>>>> best >>>>>>>>>>>>>>>>> model:/home/koichi/tesstutorial/e13boutput/base0_561.checkpoint >>>>>>>>>>>>>>>>> wrote >>>>>>>>>>>>>>>>> checkpoint. >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> The test with base_checkpoint returns nothing as: >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> At iteration 0, stage 0, Eval Char error rate=0, Word >>>>>>>>>>>>>>>>> error rate=0 >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> The test with eng.traineddata and e13b.png returns >>>>>>>>>>>>>>>>> out.txt. Both files are attached. >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> Training seems to have worked fine. I don't know how to >>>>>>>>>>>>>>>>> translate the test result from base_checkpoint. The generated >>>>>>>>>>>>>>>>> eng.traineddata obviously doesn't work well. I suspect the >>>>>>>>>>>>>>>>> choice of >>>>>>>>>>>>>>>>> --traineddata in combining output files is bad but I have no >>>>>>>>>>>>>>>>> clue. >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> Regards, >>>>>>>>>>>>>>>>> ElMagoElGato >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> BTW, I referred to your tess4training in the process. It >>>>>>>>>>>>>>>>> helped a lot. >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> 2019年5月29日水曜日 19時14分08秒 UTC+9 shree: >>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>> see >>>>>>>>>>>>>>>>>> https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract-4.00#combining-the-output-files >>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>> On Wed, May 29, 2019 at 3:18 PM ElGato ElMago < >>>>>>>>>>>>>>>>>> elmago...@gmail.com> wrote: >>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>> Hi, >>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>> I wish to make a trained data for E13B font. >>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>> I read the training tutorial and made a base_checkpoint >>>>>>>>>>>>>>>>>>> file according to the method in Training From Scratch. >>>>>>>>>>>>>>>>>>> Now, how can I make >>>>>>>>>>>>>>>>>>> a trained data from the base_checkpoint file? >>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>> -- >>>>>>>>>>>>>>>>>>> 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 tesser...@googlegroups.com. >>>>>>>>>>>>>>>>>>> To post to this group, send email to >>>>>>>>>>>>>>>>>>> tesser...@googlegroups.com. >>>>>>>>>>>>>>>>>>> Visit this group at >>>>>>>>>>>>>>>>>>> https://groups.google.com/group/tesseract-ocr. >>>>>>>>>>>>>>>>>>> To view this discussion on the web visit >>>>>>>>>>>>>>>>>>> https://groups.google.com/d/msgid/tesseract-ocr/4848cfa5-ae2b-4be3-a771-686aa0fec702%40googlegroups.com >>>>>>>>>>>>>>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/4848cfa5-ae2b-4be3-a771-686aa0fec702%40googlegroups.com?utm_medium=email&utm_source=footer> >>>>>>>>>>>>>>>>>>> . >>>>>>>>>>>>>>>>>>> For more options, visit >>>>>>>>>>>>>>>>>>> https://groups.google.com/d/optout. >>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>> -- >>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>> ____________________________________________________________ >>>>>>>>>>>>>>>>>> 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 tesser...@googlegroups.com. >>>>>>>>>>>>>>>>> To post to this group, send email to >>>>>>>>>>>>>>>>> tesser...@googlegroups.com. >>>>>>>>>>>>>>>>> Visit this group at >>>>>>>>>>>>>>>>> https://groups.google.com/group/tesseract-ocr. >>>>>>>>>>>>>>>>> To view this discussion on the web visit >>>>>>>>>>>>>>>>> https://groups.google.com/d/msgid/tesseract-ocr/7f29f47e-c6f5-4743-832d-94e7d28ab4e8%40googlegroups.com >>>>>>>>>>>>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/7f29f47e-c6f5-4743-832d-94e7d28ab4e8%40googlegroups.com?utm_medium=email&utm_source=footer> >>>>>>>>>>>>>>>>> . >>>>>>>>>>>>>>>>> For more options, visit https://groups.google.com/d/optout >>>>>>>>>>>>>>>>> . >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> -- >>>>>>>>>>>>>>> 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 tesser...@googlegroups.com. >>>>>>>>>>>>>>> To post to this group, send email to >>>>>>>>>>>>>>> tesser...@googlegroups.com. >>>>>>>>>>>>>>> Visit this group at >>>>>>>>>>>>>>> https://groups.google.com/group/tesseract-ocr. >>>>>>>>>>>>>>> To view this discussion on the web visit >>>>>>>>>>>>>>> https://groups.google.com/d/msgid/tesseract-ocr/2c6fe865-911d-41f3-9926-cbfb56db794f%40googlegroups.com >>>>>>>>>>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/2c6fe865-911d-41f3-9926-cbfb56db794f%40googlegroups.com?utm_medium=email&utm_source=footer> >>>>>>>>>>>>>>> . >>>>>>>>>>>>>>> For more options, visit https://groups.google.com/d/optout. >>>>>>>>>>>>>>> >>>>>>>>>>>>>> >>>>>>>>>>>>>> >>>>>>>>>>>>>> -- >>>>>>>>>>>>>> >>>>>>>>>>>>>> ____________________________________________________________ >>>>>>>>>>>>>> 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 tesser...@googlegroups.com. >>>>>>>>>>>> To post to this group, send email to tesser...@googlegroups.com >>>>>>>>>>>> . >>>>>>>>>>>> Visit this group at >>>>>>>>>>>> https://groups.google.com/group/tesseract-ocr. >>>>>>>>>>>> To view this discussion on the web visit >>>>>>>>>>>> https://groups.google.com/d/msgid/tesseract-ocr/5b151e61-5b41-4191-8d26-784809ef8e10%40googlegroups.com >>>>>>>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/5b151e61-5b41-4191-8d26-784809ef8e10%40googlegroups.com?utm_medium=email&utm_source=footer> >>>>>>>>>>>> . >>>>>>>>>>>> For more options, visit https://groups.google.com/d/optout. >>>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> -- >>>>>>>>>>> >>>>>>>>>>> ____________________________________________________________ >>>>>>>>>>> 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 tesser...@googlegroups.com. >>>>>>>>>> To post to this group, send email to tesser...@googlegroups.com. >>>>>>>>>> Visit this group at https://groups.google.com/group/tesseract-ocr >>>>>>>>>> . >>>>>>>>>> To view this discussion on the web visit >>>>>>>>>> https://groups.google.com/d/msgid/tesseract-ocr/09d3119c-d093-4269-bf3a-3ddb467ed0ed%40googlegroups.com >>>>>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/09d3119c-d093-4269-bf3a-3ddb467ed0ed%40googlegroups.com?utm_medium=email&utm_source=footer> >>>>>>>>>> . >>>>>>>>>> For more options, visit https://groups.google.com/d/optout. >>>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> -- >>>>>>>>> >>>>>>>>> ____________________________________________________________ >>>>>>>>> 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 tesser...@googlegroups.com. >>>>>>>> To post to this group, send email to tesser...@googlegroups.com. >>>>>>>> Visit this group at https://groups.google.com/group/tesseract-ocr. >>>>>>>> To view this discussion on the web visit >>>>>>>> https://groups.google.com/d/msgid/tesseract-ocr/856a44a7-5127-45cd-9c7d-b9684eba8089%40googlegroups.com >>>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/856a44a7-5127-45cd-9c7d-b9684eba8089%40googlegroups.com?utm_medium=email&utm_source=footer> >>>>>>>> . >>>>>>>> For more options, visit https://groups.google.com/d/optout. >>>>>>>> >>>>>>> >>>>>>> >>>>>>> -- >>>>>>> >>>>>>> ____________________________________________________________ >>>>>>> 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 tesser...@googlegroups.com. >>>>>> To post to this group, send email to tesser...@googlegroups.com. >>>>>> Visit this group at https://groups.google.com/group/tesseract-ocr. >>>>>> To view this discussion on the web visit >>>>>> https://groups.google.com/d/msgid/tesseract-ocr/97a1fc89-06eb-45f6-865d-fee2c132789d%40googlegroups.com >>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/97a1fc89-06eb-45f6-865d-fee2c132789d%40googlegroups.com?utm_medium=email&utm_source=footer> >>>>>> . >>>>>> For more options, visit https://groups.google.com/d/optout. >>>>>> >>>>> -- >>>>> 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 tesser...@googlegroups.com. >>>>> To post to this group, send email to tesser...@googlegroups.com. >>>>> Visit this group at https://groups.google.com/group/tesseract-ocr. >>>>> To view this discussion on the web visit >>>>> https://groups.google.com/d/msgid/tesseract-ocr/CAGJ7VxFmnQ2_3B825CdsrLYi5%2BWCD8OxEVLC29LwnXGkTx_q6Q%40mail.gmail.com >>>>> <https://groups.google.com/d/msgid/tesseract-ocr/CAGJ7VxFmnQ2_3B825CdsrLYi5%2BWCD8OxEVLC29LwnXGkTx_q6Q%40mail.gmail.com?utm_medium=email&utm_source=footer> >>>>> . >>>>> For more options, visit https://groups.google.com/d/optout. >>>>> >>>> -- >>> 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 tesser...@googlegroups.com. >>> To post to this group, send email to tesser...@googlegroups.com. >>> Visit this group at https://groups.google.com/group/tesseract-ocr. >>> To view this discussion on the web visit >>> https://groups.google.com/d/msgid/tesseract-ocr/71f7d6bd-b8a7-4057-b1bf-ab02db544579%40googlegroups.com >>> <https://groups.google.com/d/msgid/tesseract-ocr/71f7d6bd-b8a7-4057-b1bf-ab02db544579%40googlegroups.com?utm_medium=email&utm_source=footer> >>> . >>> For more options, visit https://groups.google.com/d/optout. >>> >> -- > 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 tesseract-ocr+unsubscr...@googlegroups.com. > To post to this group, send email to tesseract-ocr@googlegroups.com. > Visit this group at https://groups.google.com/group/tesseract-ocr. > To view this discussion on the web visit > https://groups.google.com/d/msgid/tesseract-ocr/dbd26585-8969-4677-9bd8-a788fbc82436%40googlegroups.com > <https://groups.google.com/d/msgid/tesseract-ocr/dbd26585-8969-4677-9bd8-a788fbc82436%40googlegroups.com?utm_medium=email&utm_source=footer> > . > For more options, visit https://groups.google.com/d/optout. > -- ____________________________________________________________ भजन - 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