Commit graph

5 commits

Author SHA1 Message Date
Antoine Brodin
8b6ef795df Cleanup plist 2014-11-12 13:45:59 +00:00
Adam Weinberger
aeac01a4bb Convert some more USE_BZIP2 to USES=tar:bzip2
Approved by:	portmgr (not really, but touches unstaged ports)
2014-07-29 21:43:17 +00:00
Alexey Dokuchaev
a47d02c4e7 - Trim Makefile header; remove LICENSE_FILE for a well-known license (LGPL21)
- Modernize LIB_DEPENDS, remove bogus GMAKE knob, touch COMMENT, and stagify
2014-01-28 09:58:20 +00:00
Baptiste Daroussin
8ee9a3584f Add NO_STAGE all over the place in preparation for the staging support (cat: japanese) 2013-09-20 18:47:54 +00:00
Martin Wilke
b4d852fce6 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.

WWW: http://zinnia.sourceforge.net/

PR:		ports/149687
Submitted by:	Timothy Beyer <beyert at cs.ucr.edu>
Feature safe:	yes
2011-02-05 09:43:00 +00:00