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path: root/help/pix_opencv_matchshape-help.pd
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#X text 30 285 Arguments:;
#X text 22 400 Outlets:;
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#X obj 501 326 pix_opencv_matchshape;
#X obj 501 14 gemhead;
#X obj 501 377 pix_texture;
#X obj 501 398 rectangle 4 3;
#X msg 570 103 contour 4 2 0 0 0 1 1 1 1 0;
#X msg 556 239 method \$1;
#X floatatom 556 217 5 0 0 0 - - -;
#X msg 580 153 template 4 2 0 0 0 1 1 1 1 0;
#X msg 590 173 template 4 2 2 0 4 1 1 1 1 0;
#X msg 560 83 contour 6 2 0 0 0 1 1 1 1 0 -0.5 -0.5;
#X floatatom 556 267 5 0 0 0 - - -;
#X msg 556 287 threshold \$1;
#X msg 550 64 contour 4 2 2 0 4 1 1 1 1 0;
#X obj 624 357 route match_vec template_vec;
#X obj 624 407 unpack;
#X text 631 390 found corresponding contour;
#X floatatom 624 435 5 0 0 0 - - -;
#X floatatom 659 435 5 0 0 0 - - -;
#X text 623 448 id;
#X text 659 448 absolute difference from template;
#X floatatom 706 378 5 0 0 0 - - -;
#X text 740 375 number of loaded contour;
#X text 593 213 method to compare shape (1 \, 2 or 3 \, please refer
to OpenCV doc for details);
#X text 37 193 This external uses cv::matchShapes function. Documentation
is here : http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html?highlight=matchshapes#matchshapes
;
#X text 588 266 threshold behind wich a shape is recognized;
#X text 575 135 template message add a template to library;
#X text 549 46 contour message compare the contour to each loaded contour
;
#X text 37 103 [pix_opencv_matchshape] compares input images or input
contours to a library of images (or contours). It sends out the id
of the closest found behind a threshold.;
#X text 37 143 You can use pix_opencv_contour_convexhull2 to find all
contours in the image and send them to pix_opencv_matchshape to recognize
it.;
#X text 20 79 Description: compares shapes;
#X text 45 24 Synopsis: [pix_opencv_matchshape];
#X text 67 40 Class: pix_opencv;
#X text 76 296 none;
#X text 40 353 Inlet 1: message: template <list of points>;
#X text 40 363 Inlet 1: message: contour <list of points>;
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