LSTM recognize via TessBaseAPIRecognize() gives me the following
performance numbers for the same bi-tonal image. The image is read and
passed as a bitmap. These numbers are only for the TessBaseAPIRecognize()
call portion of the process.
The question is this: should I have expected LSTM
I'm sure I cloned master on 3/20/2017 3:55. publictypes.h defines this:
enum OcrEngineMode {
OEM_TESSERACT_ONLY, // Run Tesseract only - fastest
OEM_LSTM_ONLY,// Run just the LSTM line recognizer.
OEM_TESSERACT_LSTM_COMBINED, // Run the LSTM recognizer, but
The initial 4.0alpha tag from November has cube in it. It was deleted later
and is no longer in master.
In fact, the OEM code for LSTM was originally 4 and now is 2.
Shouldn't semantic versioning require tagging at major updates?
- excuse the brevity, sent from mobile
On 22-Mar-2017 8:58 PM,
See
https://github.com/tesseract-ocr/tesseract/wiki/4.0-Accuracy-and-Performance
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On 22-Mar-2017 8:58 PM, "universal reseller" wrote:
> how did you used cube engine on tesse 4 !?
>
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That's a great idea -- I don't have spare time for new projects at the
moment, but I wonder if something like OpenOCR might be useful as a
starting point for an effort like this: https://github.com/tleyden/open-ocr
On Tuesday, March 21, 2017 at 4:03:52 PM UTC-4, Rich Jones wrote:
>
> Hello,
how did you used cube engine on tesse 4 !?
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Sorry, mentioned incorrect code for LSTM
OCR Engine modes:
0Original Tesseract only.
1Neural nets LSTM only.
2Tesseract + LSTM.
3Default, based on what is available
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On 22-Mar-2017 9:02 PM, "ShreeDevi Kumar"
I noticed OpenMP support isn't enabled by default. I'll get new timings.
What do modes 4 & 5 do if Cube is no longer present? They produced good
output, and performance was the best.
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you can train it for single font.
On Sunday, March 19, 2017 at 1:23:50 PM UTC+5:30, Ava Nimaee wrote:
>
> hi , i need your help.
> i want know that in tesseract-ocr for persian , we have a train for each
> font or we have a train for all fonts ?thanks
>
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Thank you shree for your valuable reply. But now i have created box files
for a particuler image and trained it..but still i am missing something,
may you please help me what i have to do after creating box file for that
image and make tesseract to read the characters from that image.
thanks
Enabling OpenMP in Visual Studio for the build roughly doubled LSTM
performance.
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See
https://github.com/tesseract-ocr/tesseract/commit/5deebe6c279f70215935c1f86baa7e7016c7f2a7
Ray's comment for commit
Moved cube aside without deleting it.
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On 22-Mar-2017 10:07 PM, "THintz" wrote:
> I'm sure I cloned master on
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