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#X text 779 894 Xcenter Ycenter Radius;
#X text 924 893 Xcenter Ycenter Radius;
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#X text 1067 894 Xcenter Ycenter Radius;
#X msg 642 545 load \$1;
#X text 792 546 Load a trained cascade classifier from XML file;
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#X msg 686 638 min_neighbors \$1;
#X text 847 630 Minimum number (minus 1) of neighbor rectangles that
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#X msg 715 671 scale_factor \$1;
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#X text 877 670 The factor by which the search window is scaled between
the subsequent scans (default 1.1);
#X text 879 822 For each object detected;
#X floatatom 686 796 5 0 0 0 - - -;
#X text 725 796 number of objects detected;
#X text 804 613 Minimum size of object (default 30);
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#X text 874 708 temporarily ( default 5 );
#X text 874 696 number of frames where an object can disappear;
#X text 793 725 clear markers history;
#X text 745 575 Mode of operation. Currently the only flag that may
be specified is CV_HAAR_DO_CANNY_PRUNING ( 0 );
#X text 50 179 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 pix_threshold to obtain a correct input for pix_opencv_contours_boundingrect.
;
#X text 51 232 pix_opencv_contours_convexhull works detecting the bigest
white area in the input image \, sometimes you will need to use pix_opencv_morphology
to transform the contours of the shape to be analyzed..;
#X text 51 143 pix_opencv_contours_convexhull :: Finds convexhull of
the bigest contour of a binary image.;
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#X msg 753 183 auto \$1;
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#X text 61 66 Create window and render;
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#X msg 1057 166 colorspace Grey;
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#X msg 537 172 device 0;
#X msg 546 203 driver 1;
#X msg 523 118 dialog;
#X msg 528 148 device /dev/dv1394-0;
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