#N canvas 164 131 1249 684 10;
#X obj 41 -82 cnv 15 621 223 empty empty empty 20 12 0 14 -260097 -66577
0;
#X obj 91 75 pdp_1394L;
#X msg 148 -25 open /dev/dv1394/0;
#X obj 71 -50 tgl 15 0 empty empty empty 17 7 0 10 -262144 -1 -1 0
1;
#X obj 73 -25 metro 40;
#X msg 191 41 norm PAL;
#X msg 161 4 close;
#X obj 281 -44 tgl 15 0 empty empty empty 17 7 0 10 -262144 -1 -1 0
1;
#X obj 281 -17 metro 40;
#X msg 371 10 close;
#X obj 301 81 pdp_v4l;
#X msg 358 -22 open /dev/video0;
#X obj 482 -42 tgl 15 0 empty empty empty 17 7 0 10 -262144 -1 -1 0
1;
#X obj 482 -15 metro 40;
#X msg 563 4 close;
#X msg 559 -20 open /dev/video0;
#X obj 502 83 pdp_v4l2;
#X obj 43 154 cnv 15 621 73 empty empty empty 20 12 0 14 -260801 -66577
0;
#X obj 91 189 pdp_convert bitmap/rgb/*;
#X text 255 183 COLORMODEL CONVERSION :: allways remember pdp_opencv
only works in RGB colormodel;
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#X text 71 -79 FIRST OF ALL SETUP YOUR CAMERA;
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#X floatatom 257 509 5 0 0 0 - - -;
#X floatatom 291 509 5 0 0 0 - - -;
#X obj 185 482 unpack 0 0 0 0 0;
#X obj 185 461 route 0 1 2 3 4;
#X floatatom 211 385 5 0 0 0 - - -;
#X floatatom 283 398 5 0 0 0 - - -;
#X obj 93 413 pdp_opencv_contours_boundingrect;
#X text 335 509 Xorigin Yorigin Width Height;
#X floatatom 205 565 5 0 0 0 - - -;
#X floatatom 240 565 5 0 0 0 - - -;
#X floatatom 277 565 5 0 0 0 - - -;
#X floatatom 311 565 5 0 0 0 - - -;
#X obj 202 536 unpack 0 0 0 0 0;
#X text 355 565 Xorigin Yorigin Width Height;
#X obj 91 663 pdp_xv;
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0;
#X msg 242 270 set;
#X floatatom 242 294 5 0 0 0 - - -;
#X obj 91 294 pdp_opencv_bgsubstract;
#X text 280 293 threshold (default 13) to use when comparing pixel
colors;
#X text 277 269 set the background reference;
#X msg 568 59 format \$1;
#X obj 569 37 hradio 15 1 0 4 empty empty empty 0 -8 0 10 -262144 -1
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#X text 43 -307 pdp_opencv_contours_boundingrect :: Calculates up-right
bounding rectangle of all contours of a binary image.;
#X text 42 -234 This object considers a contour to be analyzed any
group of white pixels in a black background \, for this reason you
will find useful to use pdp_bgsubstract or pdp_threshold to obtain
a correct input for pdp_opencv_contours_boundingrect.;
#X text 43 -173 pdp_opencv_contours_boundingrect works detecting any
white areas in the input image \, it's important to set max/min values
of the areas you want to detect to filter non interesting noise or
areas \, also sometimes you will need to use pdp_opencv_morphology
to transform the contours of the shapes to be analyzed..;
#X floatatom 280 435 5 0 0 0 - - -;
#X text 319 436 Number of detected contours;
#X floatatom 230 623 5 0 0 0 - - -;
#X floatatom 265 623 5 0 0 0 - - -;
#X floatatom 302 623 5 0 0 0 - - -;
#X floatatom 336 623 5 0 0 0 - - -;
#X obj 227 594 unpack 0 0 0 0 0;
#X text 380 623 Xorigin Yorigin Width Height;
#X text 288 466 For each contour detected;
#X text 288 453 We have the contours sorted bottom to top and left
to right;
#X text 42 -273 It is useful as a motion tracker if you have well isolated
silouets of the objects you want to track.;
#X text 249 383 minimal area in pixels to be detected (default 10x10)
;
#X text 320 399 maximal area in pixels to be detected (default 320x240)
;
#X msg 138 335 mode \$1;
#X obj 199 336 hradio 15 1 0 4 empty empty empty 0 -8 0 10 -262144
-1 -1 0;
#X text 268 337 retrieval mode ( see cvFindContours );
#X obj 242 364 hradio 15 1 0 5 empty empty empty 0 -8 0 10 -262144
-1 -1 0;
#X text 318 364 retrieval method ( see cvFindContours );
#X msg 175 363 method \$1;
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