154 lines
6.0 KiB
Scheme
154 lines
6.0 KiB
Scheme
;;; GNU Guix --- Functional package management for GNU
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;;; Copyright © 2013 Ludovic Courtès <ludo@gnu.org>
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;;; Copyright © 2016, 2020 Efraim Flashner <efraim@flashner.co.il>
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;;; Copyright © 2019 Tobias Geerinckx-Rice <me@tobias.gr>
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;;; Copyright © 2019 Alex Vong <alexvong1995@gmail.com>
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;;;
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;;; This file is part of GNU Guix.
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;;;
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;;; GNU Guix is free software; you can redistribute it and/or modify it
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;;; under the terms of the GNU General Public License as published by
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;;; the Free Software Foundation; either version 3 of the License, or (at
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;;; your option) any later version.
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;;;
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;;; GNU Guix is distributed in the hope that it will be useful, but
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;;; WITHOUT ANY WARRANTY; without even the implied warranty of
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;;; MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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;;; GNU General Public License for more details.
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;;;
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;;; You should have received a copy of the GNU General Public License
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;;; along with GNU Guix. If not, see <http://www.gnu.org/licenses/>.
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(define-module (gnu packages ocr)
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#:use-module ((guix licenses) #:prefix license:)
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#:use-module (guix packages)
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#:use-module (guix download)
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#:use-module (guix git-download)
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#:use-module (guix build-system gnu)
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#:use-module (guix build-system python)
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#:use-module (gnu packages compression)
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#:use-module (gnu packages python)
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#:use-module (gnu packages image))
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(define-public ocrad
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(package
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(name "ocrad")
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(version "0.27")
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(source (origin
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(method url-fetch)
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(uri (string-append "mirror://gnu/ocrad/ocrad-"
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version ".tar.lz"))
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(sha256
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(base32
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"0divffvcaim89g4pvqs8kslbcxi475bcl3b4ynphf284k9zfdgx9"))))
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(build-system gnu-build-system)
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(native-inputs `(("lzip" ,lzip)))
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(home-page "https://www.gnu.org/software/ocrad/")
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(synopsis "Optical character recognition based on feature extraction")
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(description
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"GNU Ocrad is an optical character recognition program based on a
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feature extraction method. It can read images in PBM, PGM or PPM formats and
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it produces text in 8-bit or UTF-8 formats.")
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(license license:gpl3+)))
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(define-public tesseract-ocr
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(package
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(name "tesseract-ocr")
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(version "3.04.01")
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(source
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(origin
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(method git-fetch)
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(uri (git-reference
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(url "https://github.com/tesseract-ocr/tesseract")
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(commit version)))
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(file-name (git-file-name name version))
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(sha256
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(base32 "0h1x4z1h86n2gwknd0wck6gykkp99bmm02lg4a47a698g4az6ybv"))))
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(build-system gnu-build-system)
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(inputs
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`(("leptonica" ,leptonica)))
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(arguments
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'(#:configure-flags
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(let ((leptonica (assoc-ref %build-inputs "leptonica")))
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(list (string-append "LIBLEPT_HEADERSDIR=" leptonica "/include")))))
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(home-page "https://github.com/tesseract-ocr/tesseract")
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(synopsis "Optical character recognition engine")
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(description
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"Tesseract is an optical character recognition (OCR) engine with very
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high accuracy. It supports many languages, output text formatting, hOCR
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positional information and page layout analysis. Several image formats are
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supported through the Leptonica library. It can also detect whether text is
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monospaced or proportional.")
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(license license:asl2.0)))
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(define-public zinnia
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(let* ((commit "581faa8f6f15e4a7b21964be3a5ec36265c80e5b")
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(revision "1")
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;; version copied from 'configure.in'
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(version (git-version "0.07" revision commit)))
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(package
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(name "zinnia")
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(version version)
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(source
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(origin
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(method git-fetch)
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(uri (git-reference
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(url "https://github.com/taku910/zinnia")
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(commit commit)))
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(sha256
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(base32
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"1izjy5qw6swg0rs2ym2i72zndb90mwrfbd1iv8xbpwckbm4899lg"))
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(file-name (git-file-name name version))
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(modules '((guix build utils)
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(ice-9 ftw)
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(srfi srfi-26)))
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(snippet ; remove unnecessary files with potentially different license
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'(begin
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(for-each delete-file-recursively
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(scandir "."
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(negate (cut member <> '("zinnia"
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"." "..")))))
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#t))))
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(build-system gnu-build-system)
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(arguments
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`(#:phases
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(modify-phases %standard-phases
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(replace 'bootstrap
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(lambda _
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(chdir "zinnia")
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(for-each make-file-writable
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'("config.log" "config.status"))
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#t)))))
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(home-page "https://taku910.github.io/zinnia/")
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(synopsis "Online hand recognition system with machine learning")
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(description
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"Zinnia is a simple, customizable and portable online hand recognition
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system based on Support Vector Machines. Zinnia simply receives user pen
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strokes as a sequence of coordinate data and outputs n-best characters sorted
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by SVM confidence. To keep portability, Zinnia doesn't have any rendering
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functionality. In addition to recognition, Zinnia provides training module
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that allows us to create any hand-written recognition systems with low-cost.")
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(license (list license:bsd-3 ; all files except...
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(license:non-copyleft ; some autotools related files
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"file://zinnia/aclocal.m4")
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license:x11 ; 'install-sh'
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license:public-domain))))) ; 'install-sh'
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;;; python 2 bindings, license under the same terms as zinnia
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(define-public python2-zinnia
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(package
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(inherit zinnia)
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(name "python2-zinnia")
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(build-system python-build-system)
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(arguments
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`(#:python ,python-2 ; CObject API is used, it was removed in Python 3.2
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#:tests? #f ; avoid circular dependency on tegaki-zinnia-japanese
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#:phases
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(modify-phases %standard-phases
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(add-after 'unpack 'chdir
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(lambda _
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(chdir "zinnia/python")
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#t)))))
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(inputs
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`(("zinnia" ,zinnia)))))
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