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#X floatatom 864 876 5 0 0 0 - - -;
#X floatatom 935 876 5 0 0 0 - - -;
#X floatatom 970 876 5 0 0 0 - - -;
#X floatatom 1007 876 5 0 0 0 - - -;
#X floatatom 1073 878 5 0 0 0 - - -;
#X floatatom 1108 878 5 0 0 0 - - -;
#X obj 616 765 pix_opencv_haarcascade;
#X obj 702 544 openpanel;
#X obj 779 822 route 0 1 2 3 4;
#X text 779 894 Xcenter Ycenter Radius;
#X text 924 893 Xcenter Ycenter Radius;
#X obj 789 847 unpack 0 0 0;
#X obj 932 847 unpack 0 0 0;
#X obj 1070 849 unpack 0 0 0;
#X floatatom 1148 877 5 0 0 0 - - -;
#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;
#X obj 772 544 bng 15 250 50 0 empty empty empty 17 7 0 10 -262144
-1 -1;
#X floatatom 809 641 5 0 0 0 - - -;
#X floatatom 763 612 5 0 0 0 - - -;
#X msg 662 578 mode \$1;
#X obj 723 578 tgl 15 0 empty empty empty 17 7 0 10 -262144 -1 -1 0
1;
#X msg 672 611 min_size \$1;
#X msg 686 638 min_neighbors \$1;
#X text 847 630 Minimum number (minus 1) of neighbor rectangles that
makes up an object (default 2);
#X msg 715 671 scale_factor \$1;
#X floatatom 833 671 5 0 0 0 - - -;
#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);
#X msg 743 700 ftolerance \$1;
#X floatatom 833 701 5 0 0 0 - - -;
#X msg 748 724 clear;
#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 46 169 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 47 222 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 47 133 pix_opencv_contours_convexhull :: Finds convexhull of
the bigest contour of a binary image.;
#X obj 735 64 gemhead;
#X obj 616 862 pix_texture;
#X obj 616 881 square 2;
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#N canvas 0 22 454 304 gemwin 0;
#X obj 67 89 outlet;
#X obj 67 10 inlet;
#X obj 65 41 route create;
#X msg 67 70 set destroy;
#X msg 182 68 set create;
#N canvas 87 154 247 179 Gem.init 0;
#X obj 118 46 loadbang;
#X msg 118 81 reset;
#X obj 118 113 outlet;
#X connect 0 0 1 0;
#X connect 1 0 2 0;
#X restore 289 80 pd Gem.init;
#X obj 162 241 gemwin;
#X msg 161 188 create \, 1;
#X msg 237 189 destroy;
#X msg 283 161 frame 25;
#X obj 164 126 t b b b;
#X connect 1 0 2 0;
#X connect 2 0 3 0;
#X connect 2 0 10 0;
#X connect 2 1 4 0;
#X connect 2 1 8 0;
#X connect 3 0 0 0;
#X connect 4 0 0 0;
#X connect 7 0 6 0;
#X connect 8 0 6 0;
#X connect 9 0 6 0;
#X connect 10 0 7 0;
#X connect 10 2 9 0;
#X restore 63 104 pd gemwin;
#X msg 63 86 create;
#X obj 464 858 pix_texture;
#X obj 464 886 square 2;
#X obj 616 391 separator;
#X obj 747 91 bng 25 250 50 0 load empty empty 0 -6 0 8 -262144 -1
-1;
#X obj 804 266 bng 15 250 50 0 empty empty end_reached 20 7 0 10 -262144
-1 -1;
#X floatatom 786 231 5 0 10000 1 frame# - -;
#X obj 747 120 openpanel;
#X msg 747 140 open \$1;
#X obj 735 249 pix_film;
#X msg 753 183 auto \$1;
#X obj 753 165 tgl 15 0 empty empty empty 0 -6 0 8 -262144 -1 -1 0
1;
#X text 61 66 Create window and render;
#X msg 848 166 colorspace RGBA;
#X msg 953 166 colorspace RGB;
#X msg 1057 166 colorspace Grey;
#X obj 848 138 loadbang;
#X obj 615 362 pix_separator;
#X obj 464 394 separator;
#X obj 464 365 pix_separator;
#X obj