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