Hi,

sorry, there is no tutorial yet, and there are actually a number of
different possibilities.

The following is what works for the development branch if you have
text lines and transcriptions and you already have a character
recognition model that sort of works but not well.  The process then
is roughly as follows:

- put the text line images into *.png files and the corresponding
ground truth into *.gt.txt files
- run ocropus-calign -x .gt.txt -m my.cmodel *.png
- run ocropus-extract-csegs *.png -o chars.db
- optionally, correct the character labels with ocropus-cedit chars.db
-t chars
- optionally, cluster the character shapes with ocropus-cluster
chars.db clusters.db
- optionally, correct the cluster labels with ocropus-cedit
clusters.db
- train a new character recognition model with ocropus-ctrain -b
clusters.db new.cmodel

You can now recognize with "ocropus-calign -m new.cmodel ..."

There are other recipes for completely new scripts (i.e., if you don't
already have any model), for new scripts that differ from old scripts
by only a few characters, etc.

Also, there are two kinds of recognizers, the old C++ recognizer
(ocropus-linerec) and the new Python recognizer (ocropus-calign); they
work similarly but have some differences.  For the official release,
we're moving completely to the Python recognizer.

Tom




On May 9, 10:28 pm, Ted <[email protected]> wrote:
> Did you ever get a reply to the documentation question?
> I'm a new OCROpus user and have to use gocr.  This creates problems
> because it needs a lot of corrections.  I'd like to know how to use
> the trainer.
>
> I'd even be willing to write an introductory manual.
>
> On May 5, 5:53 pm, Dennis Rardin <[email protected]> wrote:
>
>
>
> > All/Anyone,
>
> > I have 2 large books broken into pages and then to lines. I'm ready to
> > train. For both books, I have text files to compare against the images.
>
> > How do I train OCROpus by using the text files to correct the results of the
> > character recognition?
>
> > Thank You Very Much,
> > Dennis
>
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