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#X msg 117 649 cursor 1;
#X floatatom 164 495 10 0 0 0 - - -;
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#X obj 209 220 pdp_xv;
#X msg 259 219 cursor 1;
#X msg 303 196 rgb 0 0 0;
#X obj 435 196 loadbang;
#X msg 88 359 bang;
#X text -13 -110 pdp_opencv_cvk : OCR-like pattern recognition;
#X text -13 -88 by damiles : http://blog.damiles.com/?p=93;
#X text -12 -51 adapted to PD by Yves Degoyon ( ydegoyon@gmail.com
);
#X text 239 -2 Hand drawing input;
#X msg 241 137 clear;
#X obj 49 33 openpanel;
#X msg 30 4 bang;
#X obj 29 101 pdp_background;
#X obj 31 178 pdp_imgloader;
#X obj 29 78 metro 40;
#X msg 48 57 load \$1 0 0;
#X floatatom 124 103 5 0 0 0 - - -;
#X obj 57 205 pdp_xv;
#X obj 30 125 pdp_convert image/YCrCb/*;
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;
#X obj 29 148 pdp_scale 128 128;
#X text 66 4 Test with an image;
#X obj 30 265 pdp_binary;
#X text 345 138 <-- clear the input and try again;
#X obj 208 197 pdp_pen ------;
#X obj 212 78 pdp_convert image/YCrCb/*;
#X text 326 106 <-- this must be the same size as your patterns;
#X obj 212 108 pdp_scale 128 128;
#X obj 145 381 s pclear;
#X obj 284 138 r pclear;
#X obj 87 382 del 1000;
#X msg 370 197 width 8;
#N canvas 5 49 634 415 thingsidontwanttosee 0;
#X msg 267 202 draw \$1 \$2;
#X obj 358 202 unpack f f;
#X obj 343 228 f;
#X obj 370 228 f;
#X msg 380 179 fill \$1 \$2;
#X obj 342 248 pack f f;
#X obj 227 179 route press drag release;
#X obj 230 148 inlet;
#X obj 258 274 outlet;
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#X connect 1 0 2 1;
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#X connect 6 0 1 0;
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#X restore 256 168 pd thingsidontwanttosee;
#X text 407 167 <-- mouse events;
#X text 241 493 Distance of the incoming frame compared to the patterns
;
#X msg 111 437 load ../plus 50;
#X text 125 360 Compare the incoming frame to the patterns;
#X text 216 415 Load a new set of patterns from a directory;
#X text 217 427 All patterns should be of the same size;
#X obj 20 462 pdp_opencv_knear plus 50;
#X text -13 -99 based on "basic OCR with Open CV tutorial";
#X text -12 -75 The algorithm is internally based on k-nearest classifiers
\, hence the name.;
#X msg 101 412 load ./plus 50;
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