Do you understand error message ("/usr/local/bin/text2image: error while
loading shared libraries: libtesseract.so.5: cannot open shared object
file: No such file or directory")?
IMO it is clear.
Zdenko
pi 6. 9. 2019 o 17:07 Jundong Qiao napísal(a):
> Hi all,
>
> I am generating training
Hi all,
I am generating training files for tesseract, after installing all
necessary packages.
My code:
tesstrain.sh --fonts_dir fonts \
--fontlist "OCR-A Medium"\
--lang eng \
--linedata_only \
--langdata_dir langdata_lstm \
--tessdata_dir tesseract/tessdata
the link for my second sentence ^ https://githubharald.github.io/
On Fri, Sep 6, 2019 at 9:24 AM Timothy Snyder wrote:
> This page goes into a little more details than the VGSL spec page in the
> Tesseract repo:
> https://github.com/mldbai/tensorflow-models/blob/master/street/g3doc/vgslspecs.md
This page goes into a little more details than the VGSL spec page in the
Tesseract repo:
https://github.com/mldbai/tensorflow-models/blob/master/street/g3doc/vgslspecs.md
Not specific to Tesseract but this guy's articles have good info on
lower-level neural net mechanics in relation to OCR.
On
It will be great if you provide any source where we can get
detailed information about the architecture used for tesseract and it's
loss functions or so.
Thanks
On Fri, Sep 6, 2019, 6:39 PM Timothy Snyder wrote:
> Do you want to learn more about neural networks or specifically, a
>
Thank you, will try 13 and see.
On Fri, Sep 6, 2019, 6:37 PM Timothy Snyder wrote:
> If you're doing recognition on a single line of text, use --PSM 13 or
> --PSM 7.
>
> They're both for single line images but I've had highest accuracy using 13
> over 7.
>
> On Fri, Sep 6, 2019 at 6:18 AM
Do you want to learn more about neural networks or specifically, a
"summarizing LSTM" in a neural network?
On Fri, Sep 6, 2019 at 5:05 AM Youcef wrote:
> Hi,
>
> In that page https://github.com/tesseract-ocr/tesseract/wiki/VGSLSpecs from
> officiel github repo, it talks about "summarizing LSTM"
If you're doing recognition on a single line of text, use --PSM 13 or --PSM
7.
They're both for single line images but I've had highest accuracy using 13
over 7.
On Fri, Sep 6, 2019 at 6:18 AM Purushotham Rao Eravalli <
purushot...@sukshi.com> wrote:
> Will it still do detection for that passed
Will it still do detection for that passed seented image or does it run
recognition directly?
On Fri, Sep 6, 2019, 3:13 PM Ravi Annaswamy
wrote:
> If I understand correctly, you want to do the segmentation into blocks or
> lines and then send only those panels to teeseract?
>
> If that is the
If I understand correctly, you want to do the segmentation into blocks or lines
and then send only those panels to teeseract?
If that is the case you can export panels into separate images and run
tesseract on them.
Ravi
Sent from my iPhone
> On Sep 6, 2019, at 2:25 AM, Purushotham Rao
Hi Ayush,
psm 6 and 7 do some extra pre-processing of the image, 13 does much less.
Unless your image contains text like this:
I would not expect much difference between PSM 6/7 and 13. While PSM 13
solves some problems I got more "ghost letters" errors (letters that are
repeated
Yes, basically I will have a single line of text like "Eravalli Purushotham
Rao" in the cropped image.
Can you provide any link for the solution
On Friday, September 6, 2019 at 11:55:16 AM UTC+5:30, Purushotham Rao
Eravalli wrote:
>
> How do we pass coordinate to tesseract so that we escape
Hi,
If you want to escape detection, I suppose it is because you have a single
word in your image, right?
In that case, just launch resseract using page segmentation mode (psm
parameter) into "single word mode", which corresponds to "psm=8" (see
"tesseract --help-extra" for more details)
Le
Hi,
In that page https://github.com/tesseract-ocr/tesseract/wiki/VGSLSpecs from
officiel github repo, it talks about "summarizing LSTM" and how we can
manage to recognize image of both variable height and variable width . Is
there a paper, a blog or anything else that provide more explicit
Hi Lorenzo. The empty output was due to the fact that I was using 7 as PSM
parameter. Using 13 as PSM parameter completely eliminated the problem.
On Friday, September 6, 2019 at 12:34:22 PM UTC+5:30, Lorenzo Blz wrote:
>
> Can you please share an example?
>
> An empty output usually means that
Can you please share an example?
An empty output usually means that it failed to recognize the black parts
as text, this could be because the text is too big or too small or a wrong
dpi setting. Or the image is not reasonably clean.
To better understand the problem you can try to downscale the
How do we pass coordinate to tesseract so that we escape detection process
and run only recognition using tesseract
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