[jitter] cv.jit 1.6 beta 1 release

a quick one, this patch will down-res a 640x480 camera grab to 80x60, detect
a face and output a face using the higher res.

one minor problem, on windows i had to add the cv.jit-support\data subdir to
the search dir as cv.jit.faces faild to find the detection model by itself.

this is for windows, to make it work on mac change the [jit.dx.grab] to [
jit.qt.grab]

#P window setfont "Sans Serif" 9.;
#P window linecount 4;
#P comment 197 407 152 9109513 caution windows users- add cv.jit-support/DATA
subdir to your file prefernnces as cv.jit.faces doesnt seem to know about
it.;
#P window linecount 1;
#P newex 238 364 26 9109513 print;
#P message 44 340 159 9109513 srcdimstart \$1 \$2 \, srcdimend \$3 \$4;
#P newex 219 314 56 9109513 vexpr $i1*8;
#P newex 219 270 80 9109513 jit.matrix @thru 0;
#P message 103 55 30 9109513 close;
#P newex 219 291 40 9109513 jit.iter;
#P newex 149 243 28 9109513 sel 1;
#P newex 131 221 46 9109513 change 1;
#P message 123 146 53 9109513 getnfaces;
#P newex 131 199 66 9109513 route nfaces;
#P newex 27 386 43 9109513 qlim 250;
#P user jit.pwindow 26 407 162 122 0 0 0 0 1 0;
#P message 73 55 28 9109513 open;
#P newex 219 124 66 9109513 jit.rgb2luma;
#P newex 27 364 208 9109513 jit.matrix 4 char 640 480 @thru 0 @usesrcdim 1;
#P newex 27 97 203 9109513 t l b l;
#P newex 319 228 43 9109513 qlim 250;
#P newex 319 207 89 9109513 cv.jit.faces.draw;
#P newex 219 146 142 9109513 jit.matrix 1 char 80 60 @adapt 0;
#P user jit.pwindow 318 248 82 62 0 0 0 0 1 0;
#P newex 219 171 62 9109513 cv.jit.faces;
#P toggle 26 37 15 0;
#P newex 26 55 46 9109513 metro 2;
#P newex 26 76 180 9109513 jit.dx.grab 640 480 @unique 1 @format 4;
#P window setfont "Sans Serif" 12.;
#P comment 144 44 163 9109516 output matrix if face detected;
#P window setfont "Sans Serif" 9.;
#P comment 211 78 142 9109513 fire-i Y411 \, 640x480;
#P fasten 24 0 11 0 49 361 32 361;
#P fasten 24 0 25 0 49 361 243 361;
#P connect 7 0 5 0;
#P fasten 7 0 8 1 224 167 403 167;
#P connect 9 0 6 0;
#P connect 8 0 9 0;
#P connect 5 0 22 0;
#P fasten 5 0 8 0 224 201 324 201;
#P fasten 20 0 23 0 224 310;
#P fasten 22 0 20 0 224 291 224 291;
#P fasten 19 0 11 0 154 267 32 267;
#P fasten 19 0 22 0 154 267 224 267;
#P fasten 17 0 5 0 128 168 224 168;
#P connect 12 0 7 0;
#P connect 10 2 12 0;
#P connect 18 1 19 0;
#P fasten 16 0 18 0 136 221 136 221;
#P fasten 5 1 16 0 276 195 136 195;
#P connect 10 1 17 0;
#P fasten 23 0 24 0 224 336 49 336;
#P connect 15 0 14 0;
#P connect 11 0 15 0;
#P connect 10 0 11 0;
#P connect 2 0 10 0;
#P fasten 21 0 2 0 108 75 31 75;
#P fasten 13 0 2 0 78 75 31 75;
#P connect 3 0 2 0;
#P connect 4 0 3 0;
#P window clipboard copycount 27;


On Mon, Mar 3, 2008 at 4:40 PM, yair reshef <yair99 at gmail.com> wrote:

> thank you Jean-Marc, always a pleasure to use cv.jit objects.
> i'm also happy to see the cv.jit.faces which i couldn't get to work on
> windows seems to be working well now. cant wait to try it outside in the
> real.
>
> thanks again for the cv.jit packge which is one of the core attributes of
> jittering.
>
> yair
>
>
> On Mon, Mar 3, 2008 at 12:39 PM, Jean-Marc Pelletier <gustave433 at yahoo.fr>
> wrote:
>
> >
> > This is to let you know that I have released a new update to the cv.jitcomputer vision library.
> >
> > http://www.iamas.ac.jp/~jovan02/cv/<http://www.iamas.ac.jp/%7Ejovan02/cv/>
> >
> > Version 1.6 is now distributed as a true universal binary on OSX.
> >
> > Apart from that, there are relatively few changes.
> >
> > Two new externals have been added:
> >
> > cv.jit.shift implements the MeanShift and CAMShift trackers which allow
> > for relatively efficient and robust tracking of regions in a greyscale
> > image.
> >
> > cv.jit.resize, well, resizes. Since bicubic interpolation is used,
> > down-sampled matrices will appear anti-aliased.
> >
> > Some minor changes to existing objects:
> >
> > There is now no limit to the number of points cv.jit.track can track at
> > the same time. Of course, you should expect sluggish performance for very
> > large number of points but 255 is no longer a hard-coded limit.
> >
> > You can now query cv.jit.faces for the number of detected faces. This
> > makes it easier to filter the dummy matrices that are output when no face
> > has been detected.
> >
> > cv.jit.features can now also compute features with sub-pixel accuracy
> > for better tracking initialization.
> >
> > On OSX, cv.jit.erode and cv.jit.dilate now use Core Image which means
> > they now run much, much faster.
> >
> > A number of bugs have also been fixed.
> >
> > This first beta has been tested on Windows XP, Mac OS 10.4 with both
> > Intel and PPC machines. It has not yet been tested on Vista or OS 10.5,
> > though I do not think there should be any problem.
> >
> > As always, I appreciate bug reports and comments!
> >
> > Hope this will come useful.
> >
> >
> > Jean-Marc
> > _______________________________________________
> > jitter mailing list
> > jitter at cycling74.com
> > http://www.cycling74.com/mailman/listinfo/jitter
> >
>
>
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