File: control

package info (click to toggle)
zinnia 0.06-7
  • links: PTS, VCS
  • area: main
  • in suites: bookworm
  • size: 2,408 kB
  • sloc: cpp: 13,195; sh: 9,667; perl: 223; python: 200; makefile: 119; ansic: 70; ruby: 47
file content (108 lines) | stat: -rw-r--r-- 3,974 bytes parent folder | download | duplicates (2)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
Source: zinnia
Priority: optional
Maintainer: Debian Input Method Team <debian-input-method@lists.debian.org>
Uploaders:
 Boyuan Yang <byang@debian.org>,
Build-Depends:
 debhelper (>= 11),
Standards-Version: 4.2.1
Section: libs
Homepage: https://taku910.github.io/zinnia/
Vcs-Git: https://salsa.debian.org/input-method-team/zinnia.git
Vcs-Browser: https://salsa.debian.org/input-method-team/zinnia

Package: libzinnia-dev
Section: libdevel
Architecture: any
Depends:
 libzinnia0 (= ${binary:Version}),
 ${misc:Depends},
Suggests:
 libzinnia-doc,
Description: development files for the zinnia library
 Zinnia provides a simple, customizable, and portable dynamic OCR
 system for hand-written input, based on Support Vector Machines.
 .
 Zinnia simply receives user pen strokes as coordinate data and outputs
 the best matching characters sorted by SVM confidence. To maintain
 portability, it has no rendering functionality. In addition to
 recognition, Zinnia provides a training module capable of creating
 highly efficient handwriting recognition models.
 .
 This package is needed to compile programs against libzinnia0,
 as only it includes the header files and static libraries (optionally)
 needed for compiling.

Package: libzinnia-doc
Section: doc
Architecture: all
Multi-Arch: foreign
Depends:
 ${misc:Depends},
Description: documentation files for the zinnia library
 Zinnia provides a simple, customizable, and portable dynamic OCR
 system for hand-written input, based on Support Vector Machines.
 .
 Zinnia simply receives user pen strokes as coordinate data and outputs
 the best matching characters sorted by SVM confidence. To maintain
 portability, it has no rendering functionality. In addition to
 recognition, Zinnia provides a training module capable of creating
 highly efficient handwriting recognition models.
 .
 This package provide the documentation files for the zinnia library.

Package: libzinnia0
Architecture: any
Depends:
 ${misc:Depends},
 ${shlibs:Depends},
Description: online handwriting recognition system with machine learning
 Zinnia provides a simple, customizable, and portable dynamic OCR
 system for hand-written input, based on Support Vector Machines.
 .
 Zinnia simply receives user pen strokes as coordinate data and outputs
 the best matching characters sorted by SVM confidence. To maintain
 portability, it has no rendering functionality. In addition to
 recognition, Zinnia provides a training module capable of creating
 highly efficient handwriting recognition models.
 .
 This package contains the shared libraries.

# Package: python-zinnia
# Section: python
# Architecture: any
# Provides:
#  ${python:Provides},
# Depends:
#  ${misc:Depends},
#  ${python:Depends},
#  ${shlibs:Depends},
# Description: Python binding for the zinnia library
#  Zinnia provides a simple, customizable, and portable dynamic OCR
#  system for hand-written input, based on Support Vector Machines.
#  .
#  Zinnia simply receives user pen strokes as coordinate data and outputs
#  the best matching characters sorted by SVM confidence. To maintain
#  portability, it has no rendering functionality. In addition to
#  recognition, Zinnia provides a training module capable of creating
#  highly efficient handwriting recognition models.
#  .
#  This package contains the Python binding.

Package: zinnia-utils
Section: utils
Architecture: any
Depends:
 ${misc:Depends},
 ${shlibs:Depends},
Description: utils for the zinnia library
 Zinnia provides a simple, customizable, and portable dynamic OCR
 system for hand-written input, based on Support Vector Machines.
 .
 Zinnia simply receives user pen strokes as coordinate data and outputs
 the best matching characters sorted by SVM confidence. To maintain
 portability, it has no rendering functionality. In addition to
 recognition, Zinnia provides a training module capable of creating
 highly efficient handwriting recognition models.
 .
 This package provide utils for zinnia library.