Hi,
I'm trying to integrate Tesseract Source into a C++ project in Xcode 10 (on
MacOS High Sierra). When copying the source directory into the project,
it's not self-evident as to how the necessary API headers are to be
included (to avoid errors). Any advice would be much appreciated.
-Aaron
I am not sure what version of tesseract you have installed, but current
version (build from source) produce "K" as output for several psm (6,7,8,
10)... e.g.
tesseract unnamed.png - --psm 6
Warning: Invalid resolution 0 dpi. Using 70 instead.
K
So first check tesseract version
Zdenko
po 28. 1.
Thanks for help and it is working as expected . Totally appreciate your
help.
uzn range is honored by tesseract. I need to fine tune the range little
more but working completely as desired.
The server cpu resources does not take the spike to 90 % as was the case
before - but now in the
My command is tesseract doc.tif doc --psm 4
On Wednesday, January 30, 2019 at 11:34:42 AM UTC-8, George Varghese wrote:
>
> I am using tesseract v4 to convert .tiff file to text, only the first
> page. The script - run from command line on Windows 2012 takes almost 8
> seconds to convert on
In this case command should be:
tesseract.exe SCREENCAPTURE.JPG output --psm 4
and attached SCREENCAPTURE.uzn file must be at the same location as
SCREENCAPTURE.JPG
Zdenko
pi 1. 2. 2019 o 18:53 George Varghese napísal(a):
>
>
> On Wednesday, January 30, 2019 at 11:34:42 AM UTC-8, George Vargh
It works, but your command is wrong... Did you read link I posted?
It should be:
tessecract doc.tif doc --psm 4
Zdenko
pi 1. 2. 2019 o 18:52 George Varghese napísal(a):
> The UZN did not work. Attached the screen shot .tif file - some
> confidential info removed.
>
> My command was tessecrac
On Wednesday, January 30, 2019 at 11:34:42 AM UTC-8, George Varghese wrote:
>
> I am using tesseract v4 to convert .tiff file to text, only the first
> page. The script - run from command line on Windows 2012 takes almost 8
> seconds to convert only the first page. using the configuration. The
The UZN did not work. Attached the screen shot .tif file - some
confidential info removed.
My command was tessecract doc.tif doc.uzn output -l eng --oem 1 --psm 4 -c
tessedit_page_number=1
The doc.uzn was in the folder as the .tif file
20 40 400 200 text
On Wednesday, January 30, 2019 at 11
I have done tesstrain using the langdata-lstm, still get the normalisation
failed error. I have not done substitutions though.
I would like to know how this error effects the accuracy of the newly
trained model
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"tesse
Please run a substitution script to clean up your training text. eg. for
Hindi I use the following sed script.
s/ / /g
s/्ं/ं/g
s/्ृ/ृ/g
s/ा्/ा/g
s/ि्/ि/g
s/ी्/ी/g
s/ु्/ु/g
s/े्/े/g
s/ै्/ै/g
s/ो्/ो/g
s/ौ्/ौ/g
s/ॊ्/ॊ/g
s/ॆ्/ॆ/g
s/ॉ्/ॉ/g
s/ृ्/ृ/g
s/°//g
s/²//g
s/³//g
s/¹//g
s//ः/g
s//॑/g
s//॒
I have looked at it again closely. I think I have something. Please look to
clarify.
The string giving this error are the string that contains ' ৌ', 'া', 'ী', '
ো' etc.
Normalization failed for string 'ো'
Normalization failed for string 'ৌ'
Normalization failed for string 'ী'
And this characte
Use training_text from langdata_lstm which has larger training text used
for LSTM training (for tessdata_best and tessdata_fast).
On Fri, Feb 1, 2019 at 7:14 PM Prabhakar Tayenjam
wrote:
> This happens everytime I use tesstrain.sh. I use a training text combining
> the default provided in the la
Yes, old OCR solutions use binarized content but I see this as a legacy
limitation. It was probably done to speed up the processing and also, I
suppose, because the algorithms used would not benefit from the extra gray
details anyway. Old ocr tech was also print oriented so the text was
already nea
This happens everytime I use tesstrain.sh. I use a training text combining
the default provided in the langdata
(https://github.com/tesseract-ocr/langdata) and some other text collected
manually.
I tried using only the default training text provided in the langdata and
get the same result.
I a
Thanks! Will try this.
El vie., 1 de feb. de 2019 10:06, Shree Devi Kumar
escribió:
> https://github.com/tesseract-ocr/tessdata_best/blob/master/spa.traineddata
> https://github.com/tesseract-ocr/tessdata_fast/blob/master/spa.traineddata
>
> Alternately, look up the file size of spa.traineddata
I was actually thinking the same thing, however, plain tesseract (with ou
options) works, so I don't know what to think.
Will look in the forum for similar issues.
El vie., 1 de feb. de 2019 10:04, Zdenko Podobny
escribió:
> IMO if any program can cause crash of computer/reboot of system you h
Looks like two maatraas together or maatraa followe by vedic accent - does
not meet Indic normalization rules.
What training text are you using?
On Fri, Feb 1, 2019 at 5:58 PM Prabhakar Tayenjam
wrote:
> What is causing this error and what are the possibles fixes??
>
> Normalization failed for
https://github.com/tesseract-ocr/tessdata_best/blob/master/spa.traineddata
https://github.com/tesseract-ocr/tessdata_fast/blob/master/spa.traineddata
Alternately, look up the file size of spa.traineddata on your desktop and
laptop. You can try copying the one from laptop (working version) to
deskt
IMO if any program can cause crash of computer/reboot of system you have a
big problem (not related to tesseract).
Please try to search forum - I think there was already somebody with
similar issue.
Zdenko
pi 1. 2. 2019 o 13:45 PA napísal(a):
> Are those test data for Spanish language?
>
> Al
Are those test data for Spanish language?
Also I can not give error message as tesseract crashes making the desktop
to reboot. Do you know a way to save to text file?
El vie., 1 de feb. de 2019 09:39, Shree Devi Kumar
escribió:
> >This was installed from github, and tessdata comes from
> https:
>This was installed from github, and tessdata comes from
https://github.com/tesseract-ocr/tessdata/blob/master/spa.traineddata
Please try with traineddata file from tessdata_best and tessdata_fast
Also give the exact error message/console output.
On Fri, Feb 1, 2019 at 5:43 PM PA wrote:
> On m
What is causing this error and what are the possibles fixes??
Normalization failed for string 'া'
Word started with a combiner:0x982
Normalization failed for string 'ং'
Word started with a combiner:0x9c1
Normalization failed for string 'ু'
Word started with a combiner:0x9c0
Normalization failed fo
On my laptop:
tesseract 4.0.0-beta.1
leptonica-1.75.3
libgif 5.1.4 : libjpeg 8d (libjpeg-turbo 1.5.2) : libpng 1.6.34 : libtiff
4.0.9 : zlib 1.2.11 : libwebp 0.6.1 : libopenjp2 2.3.0
Found AVX2
Found AVX
Found SSE
This was installed from Kubuntu packages, so the tessdata comes from there.
I am doing lstm training for Bengali in tesseract 4.0.0-255-gfc55. While
running tesstrain.sh with run_shape_clustering argument, I get the error:
ERROR: Unrecognized argument --run_shape_clustering.
This argument is required for training indic languages. Any solutions??
--
You received this m
Please guys any help will be a huge favor !
have been stuck on this since days now.
Thanks!
On Friday, February 1, 2019 at 10:18:23 AM UTC+5:30, Raghav Rohilla wrote:
>
> Hi, I am working on a project in which i am trying to achieve text
> detection and then associating it to the particular
What does not work? uzn? It works with tesseract 4 - I just test it.
If you are really interesting in help/reply please be specific and detailed
what you did, what you use and provide examples for reproducing problems.
Zdenko
pi 1. 2. 2019 o 2:35 George Varghese napísal(a):
> Does not work in
try with
--tessdata-dir /usr/local/share/tessdata/
On Fri, Feb 1, 2019 at 12:29 PM nampyo hong wrote:
> [image: tesseract.PNG]
> When I was running tesseract 3.0.4, there was no problem.
>
> I tried to install tesseract 4.0.0 in ubuntu 16.04 by building it from
> source, but there was an issue.
What I heard 😀: because of complexity/variability of input images
companies doing invoice digitization (with tesseract) use custom solution
for image/page analyze (e.g. finding position for invoice number) and using
tesseract only for OCR process.
Zdenko
pi 1. 2. 2019 o 9:02 Kristóf Horváth nap
Well first i would get a buch of examples of different positions and run it
through OCR with auto segmentation and with best traineddata.
Then from results i would try different segmentation to see difference.
There is a chance you wont have to train it. When extraction is accurate
enough you ju
2019. január 31., csütörtök 23:49:43 UTC+1 időpontban Shailesh Barve a
következőt írta:
>
> Hey all,
> I have a requirement to process invoices and extract few data elements
> from it (e.g. invoice number, date, customer name, total amount).
> Incoming invoices are of different formats with rel
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