I have already done that but haven't found anything interesting. I tried to ask here if there are eg. any part of algorithms that can be disabled etc. The image is preprocessed, binarized and contain only 8 digits (and point). I was also a bit surprised that resizing image from 400px to 50px has given only subtle speed up.
I will try the fast model today (if I find how to switch it), maybe it will help. here are my measured times ocr time: 0.980876922607 ocr time: 0.435426950455 ocr time: 0.76907491684 ocr time: 0.836761951447 ocr time: 0.871710062027 ocr time: 0.803520917892 ocr time: 0.371052026749 ocr time: 0.732284069061 ocr time: 0.745162010193 ocr time: 0.836426019669 ocr time: 0.740739107132 ocr time: 0.379159927368 ocr time: 0.798940181732 ocr time: 0.3972260952 ocr time: 0.739762067795 ocr time: 0.7757999897 ocr time: 0.772871017456 ocr time: 0.435608863831 ocr time: 0.770547866821 ocr time: 0.870738983154 ocr time: 0.37126493454 ocr time: 0.837875127792 ocr time: 0.811723947525 ocr time: 0.865257024765 ocr time: 0.79048204422 ocr time: 0.435704946518 ocr time: 0.763910055161 ocr time: 0.391008853912 ocr time: 0.396636009216 ocr time: 0.38174700737 ocr time: 0.809095144272 ocr time: 0.773195028305 ocr time: 0.427488088608 ocr time: 0.403608083725 ocr time: 0.806233167648 ocr time: 0.948635101318 ocr time: 0.900885105133 ocr time: 0.829130887985 ocr time: 0.932774782181 ocr time: 1.09788799286 ocr time: 0.520708799362 ocr time: 0.448786973953 ocr time: 0.560626983643 ocr time: 0.993177175522 ocr time: 0.48442697525 ocr time: 1.1292309761 ocr time: 1.04695606232 ocr time: 0.8810338974 ocr time: 1.10285806656 ocr time: 1.05213713646 ocr time: 1.22593903542 ocr time: 1.04618191719 ocr time: 1.11645102501 ocr time: 1.05435395241 ocr time: 1.15162396431 ocr time: 0.547721862793 ocr time: 0.607867956161 ocr time: 1.14074802399 ocr time: 1.1790971756 ocr time: 1.18815803528 ocr time: 0.58503985405 ocr time: 1.10898280144 ocr time: 1.22723913193 ocr time: 1.2178709507 ocr time: 1.28540086746 ocr time: 1.28237104416 ocr time: 1.56176805496 ocr time: 1.2859480381 ocr time: 1.2599170208 ocr time: 1.42588591576 ocr time: 1.51333785057 ocr time: 1.34276986122 ocr time: 1.34283900261 ocr time: 1.39351201057 ocr time: 1.61450195312 ocr time: 1.44723105431 ocr time: 1.63176107407 ocr time: 0.82429599762 ocr time: 1.08239603043 ocr time: 0.755813121796 ocr time: 1.63984704018 ocr time: 1.84553313255 ocr time: 0.958009958267 ocr time: 1.52479290962 ocr time: 0.919597864151 thanks Jan Dne středa 30. ledna 2019 7:57:07 UTC+1 zdenop napsal(a): > > search issue tracker for "speed"... > > Zdenko > > > st 30. 1. 2019 o 7:51 Jan Pohanka <[email protected] <javascript:>> > napísal(a): > >> It is 4.0. I'm satisfied with recognition results, but I need to make it >> faster (at constant times below 1s)... >> >> Dne středa 30. ledna 2019 7:48:23 UTC+1 zdenop napsal(a): >>> >>> What is your tesseract version? >>> >>> Zdenko >>> >>> >>> ut 29. 1. 2019 o 20:40 Jan Pohanka <[email protected]> napísal(a): >>> >>>> Thanks for suggestions. You are right that I'm reffering to >>>> api.GetUTF8Text() >>>> call, it is my bottleneck. >>>> I was not aware that there is some fast and best models in tesseract >>>> 4.0, I will give it a try. So far I used just lang=eng or osd. >>>> For me it is suspicious that the calls are getting longer during the >>>> time. Or to be more precise, first 10-15 calls are up to 500ms and latter >>>> ones rise above 1s... >>>> SetSourceResolution outside of the loop gives no change unfortunately. >>>> >>>> BR >>>> Jan >>>> >>>> Dne úterý 29. ledna 2019 18:08:49 UTC+1 Lorenzo Blz napsal(a): >>>>> >>>>> >>>>> First double check if the Pi is not throttling due to overheating or >>>>> lack of USB power. This may cause the slowdown. >>>>> >>>>> Usually 30/50 px of text height is fine. IF the problem is tesseract, >>>>> try to use the fast model (or "normal" if using best). I assume you are >>>>> using the 4.x release. >>>>> >>>>> Try tesseract -v to see if you are using all the available CPU >>>>> optimizations. >>>>> >>>>> Try to move the SetSourceResolution outside the loop and see if it >>>>> changes something (MAYBE it may invalidate some caches or something). >>>>> >>>>> The time you are referring to is one single api.GetUTF8Text() call, >>>>> correct? >>>>> >>>>> >>>>> Lorenzo >>>>> >>>>> >>>>> Il giorno mar 29 gen 2019 alle ore 17:48 Jan Pohanka < >>>>> [email protected]> ha scritto: >>>>> >>>>>> Hello, >>>>>> >>>>>> I'm making a simple device used to recognize numbers on pictures >>>>>> taken by a webcam. All is running on raspberry pi 3. >>>>>> Everything is like following simple loop (in python for simplicity, >>>>>> but using C++ api it is the same), images are preprocessed to black and >>>>>> white >>>>>> >>>>>> api = PyTessBaseAPI(psm=tesserocr.PSM.SINGLE_WORD) >>>>>> >>>>>> for im in images: >>>>>> api.SetImage(im) >>>>>> api.SetSourceResolution(70) >>>>>> ot = api.GetUTF8Text() >>>>>> >>>>>> api.End() >>>>>> >>>>>> >>>>>> My problem is that api.GetUTF8Text() call is quite slow and more over >>>>>> it is getting slower and slower over time. Is there any options how to >>>>>> make >>>>>> recognition faster? I have tried to resize the image to around 50x10px. >>>>>> The >>>>>> times starts on around 300ms but then goes up to above 1s which is too >>>>>> slow >>>>>> for me. I tried both legacy and LSTM algorithms, but they are similar. >>>>>> >>>>>> best regards >>>>>> Jan >>>>>> >>>>>> -- >>>>>> 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 post to this group, send email to [email protected]. >>>>>> 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/a53b4b25-97e3-47dc-823a-cbb219225eed%40googlegroups.com >>>>>> >>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/a53b4b25-97e3-47dc-823a-cbb219225eed%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 [email protected]. >>>> To post to this group, send email to [email protected]. >>>> 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/baa59c86-b002-4607-8dda-16835cd3ea73%40googlegroups.com >>>> >>>> <https://groups.google.com/d/msgid/tesseract-ocr/baa59c86-b002-4607-8dda-16835cd3ea73%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 [email protected] <javascript:>. >> To post to this group, send email to [email protected] >> <javascript:>. >> 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/dedb7fd8-d61e-42bb-a492-34beaa8b1514%40googlegroups.com >> >> <https://groups.google.com/d/msgid/tesseract-ocr/dedb7fd8-d61e-42bb-a492-34beaa8b1514%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 [email protected]. To post to this group, send email to [email protected]. 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/30831c1e-4bd9-4eae-8118-ad9244949b80%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
