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tesseract-ocr-traineddata-esperanto rpm build for : OpenSuSE. For other distributions click tesseract-ocr-traineddata-esperanto.

Name : tesseract-ocr-traineddata-esperanto
Version : 4.00~git30 Vendor : obs://build_suse_de/SUSE
Release : 5.1 Date : 2020-02-26 21:43:48
Group : Productivity/Graphics/Other Source RPM : tesseract-lang-4.00~git30-5.1.src.rpm
Size : 4.51 MB
Packager : (none)
Summary : Tesseract language files for Esperanto
Description :
Tesseract is an open source Optical Character Recognition (OCR)
Engine. It can be used directly, or (for programmers) using an API to
extract printed text from images. This package contains the data
needed for processing images in Esperanto language.

RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/home:/Alexander_Pozdnyakov/SLE_12_SP5/noarch

Content of RPM  Changelog  Provides Requires

Download
ftp.icm.edu.pl  tesseract-ocr-traineddata-esperanto-4.00~git30-5.1.noarch.rpm
ftp.icm.edu.pl  tesseract-ocr-traineddata-esperanto-4.00~git30-5.1.noarch.rpm
ftp.icm.edu.pl  tesseract-ocr-traineddata-esperanto-4.00~git30-5.1.noarch.rpm
ftp.icm.edu.pl  tesseract-ocr-traineddata-esperanto-4.00~git30-5.1.noarch.rpm
ftp.icm.edu.pl  tesseract-ocr-traineddata-esperanto-4.00~git30-5.1.noarch.rpm
ftp.icm.edu.pl  tesseract-ocr-traineddata-esperanto-4.00~git30-5.1.noarch.rpm
ftp.icm.edu.pl  tesseract-ocr-traineddata-esperanto-4.00~git30-5.1.noarch.rpm
ftp.icm.edu.pl  tesseract-ocr-traineddata-esperanto-4.00~git30-5.1.noarch.rpm
ftp.icm.edu.pl  tesseract-ocr-traineddata-esperanto-4.00~git30-5.1.noarch.rpm
ftp.icm.edu.pl  tesseract-ocr-traineddata-esperanto-4.00~git30-5.1.noarch.rpm
     

Provides :
tesseract-ocr-traineddata-esperanto

Requires :
rpmlib(CompressedFileNames) <= 3.0.4-1
rpmlib(PayloadFilesHavePrefix) <= 4.0-1
tesseract-ocr
rpmlib(PayloadIsLzma) <= 4.4.6-1
rpmlib(TildeInVersions) <= 4.10.0-1


Content of RPM :
/usr/share/tesseract-ocr
/usr/share/tesseract-ocr/4
/usr/share/tesseract-ocr/4/tessdata
/usr/share/tesseract-ocr/4/tessdata/epo.traineddata

 
ICM