Thanks for your replay. I've solved changing the path of the library. In my case: $ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib
best, 2009/5/12 Thomas Breuel <[email protected]> > You probably need to add something to your LD_LIBRARY_PATH; I think the > OpenFST installation instructions talk about this. OpenFST itself is a > little tricky to install and configure; this is one of the reasons we have > moved OpenFST out of ocropus. (We're generally trying to reduce > dependencies from release to release to make installation simpler.) > > Note that you do not need OpenFST for building language models; you can do > that with the built-in OcroFST class, including saving and loading. OpenFST > is only needed for optimizing or transforming language models. > > Tom > > On Tue, May 12, 2009 at 11:55, Pierpaolo Monaco < > [email protected]> wrote: > >> I have downloaded and installed the last release of ocropus from the >> mercurial repositories. >> Everything works pretty well. >> >> Now I need to work with the language model so I have download and >> installed the last version of openfst (v. 1.1) following the installation >> procedure from the official website. >> >> During the compiling and installation process I didn't have any problem >> but when i test the shell commands i get this error. >> >> overco...@overcomer-laptop:~$ fstinfo >>> /usr/local/share/ocropus/models/default.fst >>> fstinfo: error while loading shared libraries: libfst.so.0: cannot open >>> shared object file: No such file or directory >>> >> >> I get this error from any shell command. >> >> I have this file installed in many directories >> >> overco...@overcomer-laptop:~$ locate libfst.so.0 >>> /home/overcomer/openfst-1.1/src/lib/.libs/libfst.so.0 >>> /home/overcomer/openfst-1.1/src/lib/.libs/libfst.so.0.0.0 >>> /usr/lib/gnome-vfs-2.0/modules/libfst.so.0 >>> /usr/local/lib/libfst.so.0 >>> /usr/local/lib/libfst.so.0.0.0 >>> >> >> Because you are experienced in openfst, could somebody tell me what's the >> cause? >> >> thanks. >> >> 2009/4/15 Thomas Breuel <[email protected]> >> >> On Tue, Apr 14, 2009 at 05:04, overcomer <[email protected]>wrote: >>> >>>> Although the image is pretty clear, the text is really "readable", if >>>> I process the image with tesseract the result is disappointing. >>>> Tesseract recognizes something like the 15 percent of the characters. >>>> I think that is depend because of a not-correct use of the dictionary. >>>> Now, i can improve this result because the strings are related between >>>> them, and some of them are for example just a name of a person or of a >>>> city, so with a limited output. >>>> What I need to know, if there is some function that analizes the >>>> character and return a value that represent the probabilities of the >>>> character to be that one, or another one. >>> >>> >>> Yes; OCRopus 0.3 has the ocr-bpnet classifier; OCRopus 0.4 replaces that >>> with a new classifier. Both the old and the new classifiers output >>> posterior probabilities. >>> >>> In this way when I will rebuild the string, i can use just this >>>> probabilities and other implicit informations of document to improve >>>> my results. >>> >>> >>> Yes, not only can you do that, OCRopus supports that directly through its >>> use of statistical language models. That is, you can define a statistical >>> language model that says something like: >>> >>> 5.1% London >>> 4.9% Paris >>> 4.7% New York >>> 4.3% Berlin >>> ... >>> >>> If you give OCRopus the input string containing just a city name, you run >>> it through its recognizer, and then you apply the statistical language >>> model, it will give you the most probable interpretation of the input image. >>> >>> In 0.3, this process is still a little obscure, in 0.4, you will be able >>> to run it directly from the command line. >>> >>> Tom >>> >>> >>> >>> >>> >> >> >> -- >> ----------------------------- >> Pierpaolo Monaco >> ---------------------------- >> >> >> > > > > -- ----------------------------- Pierpaolo Monaco ---------------------------- --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "ocropus" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [email protected] For more options, visit this group at http://groups.google.com/group/ocropus?hl=en -~----------~----~----~----~------~----~------~--~---
