Commit graph

4 commits

Author SHA1 Message Date
Alexey Dokuchaev
5112bd746a - Stagify, trim Makefile header, convert LIB_DEPENDS, contract MASTER_SITES
- Fix a typo in COMMENT; reformat and reword port description text while here
2014-01-27 10:49:50 +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
Dmitry Marakasov
6f6fbe4bdf - Add LDFLAGS to CONFIGURE_ENV and MAKE_ENV (as it was done with LDFLAGS)
- Fix all ports that add {CPP,LD}FLAGS to *_ENV to modify flags instead

PR:		157936
Submitted by:	myself
Exp-runs by:	pav
Approved by:	pav
2011-09-23 22:26:39 +00:00
Martin Wilke
3eee3adbc0 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.

This is the python interface to the library.

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

PR:		ports/149686
Submitted by:	Timothy Beyer <beyert at cs.ucr.edu>
Feature safe:	yes
2011-02-05 09:41:52 +00:00