diff --git a/gnu/packages/ocr.scm b/gnu/packages/ocr.scm index 2808359ca2..14ea7e443b 100644 --- a/gnu/packages/ocr.scm +++ b/gnu/packages/ocr.scm @@ -2,6 +2,7 @@ ;;; Copyright © 2013 Ludovic Courtès ;;; Copyright © 2016 Efraim Flashner ;;; Copyright © 2019 Tobias Geerinckx-Rice +;;; Copyright © 2019 Alex Vong ;;; ;;; This file is part of GNU Guix. ;;; @@ -22,6 +23,7 @@ (define-module (gnu packages ocr) #:use-module ((guix licenses) #:prefix license:) #:use-module (guix packages) #:use-module (guix download) + #:use-module (guix git-download) #:use-module (guix build-system gnu) #:use-module (gnu packages compression) #:use-module (gnu packages image)) @@ -76,3 +78,56 @@ (define-public tesseract-ocr supported through the Leptonica library. It can also detect whether text is monospaced or proportional.") (license license:asl2.0))) + +(define-public zinnia + (let* ((commit "581faa8f6f15e4a7b21964be3a5ec36265c80e5b") + (revision "1") + ;; version copied from 'configure.in' + (version (git-version "0.07" revision commit))) + (package + (name "zinnia") + (version version) + (source + (origin + (method git-fetch) + (uri (git-reference + (url "https://github.com/taku910/zinnia.git") + (commit commit))) + (sha256 + (base32 + "1izjy5qw6swg0rs2ym2i72zndb90mwrfbd1iv8xbpwckbm4899lg")) + (file-name (git-file-name name version)) + (modules '((guix build utils) + (ice-9 ftw) + (srfi srfi-26))) + (snippet ; remove unnecessary files with potentially different license + '(begin + (for-each delete-file-recursively + (scandir "." + (negate (cut member <> '("zinnia" + "." ".."))))) + #t)))) + (build-system gnu-build-system) + (arguments + `(#:phases + (modify-phases %standard-phases + (replace 'bootstrap + (lambda _ + (chdir "zinnia") + (for-each make-file-writable + '("config.log" "config.status")) + #t))))) + (home-page "https://taku910.github.io/zinnia/") + (synopsis "Online hand recognition system with machine learning") + (description + "Zinnia is a simple, customizable and portable online hand recognition +system based on Support Vector Machines. Zinnia simply receives user pen +strokes as a sequence of coordinate data and outputs n-best characters sorted +by SVM confidence. To keep portability, Zinnia doesn't have any rendering +functionality. In addition to recognition, Zinnia provides training module +that allows us to create any hand-written recognition systems with low-cost.") + (license (list license:bsd-3 ; all files except... + (license:non-copyleft ; some autotools related files + "file://zinnia/aclocal.m4") + license:x11 ; 'install-sh' + license:public-domain))))) ; 'install-sh'