pdp_opencv_contours_boundingrect-help.pd


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#X text 71 -79 FIRST OF ALL SETUP YOUR CAMERA;
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#X floatatom 292 357 5 0 0 0 - - -;
#X obj 91 374 pdp_opencv_contours_boundingrect;
#X text 344 474 Xorigin Yorigin Width Height;
#X floatatom 214 524 5 0 0 0 - - -;
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#X msg 568 59 format \$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..;
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#X text 328 395 Number of detected contours;
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#X text 391 572 Xorigin Yorigin Width Height;
#X text 297 425 For each contour detected;
#X text 297 412 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 275 341 minimal area in pixels to be detected (default 10x10)
;
#X text 329 358 maximal area in pixels to be detected (default 320x240)
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#X text 253 198 retrieval mode ( see cvFindContours );
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#X text 297 221 retrieval method ( see cvFindContours );
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#X text 292 241 maximum move of a countour ( default 10 );
#X text 318 261 frame tolerance for identification ( default 5 );
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#X msg 230 301 draw \$1;
#X text 317 300 draw bounding rectangle ( default : on );
#X msg 245 322 show \$1;
#X text 330 321 draw the detected contours ( default : off );
#X text 324 281 hide original image ( default : off );
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