1 files changed, 174 insertions, 197 deletions
diff --git a/pix_opencv_contours_boundingrect-help.pd b/pix_opencv_contours_boundingrect-help.pd
index bbc7a5f..035f46a 100644
--- a/pix_opencv_contours_boundingrect-help.pd
+++ b/pix_opencv_contours_boundingrect-help.pd
@@ -1,59 +1,70 @@
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-#X text 790 754 For each contour detected;
-#X text 29 172 It is useful as a motion tracker if you have well isolated
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+#X text 11 0 Arguments:;
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+#X text 7 -137 Class: pix_opencv;
+#X text 32 17 none;
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+#X text 794 539 For each contour detected;
+#X text 16 50 It is useful as a motion tracker if you have well isolated
 silouets of the objects you want to track.;
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+#X msg 618 293 mode \$1;
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 -1 -1 0;
-#X text 751 482 retrieval mode ( see cvFindContours );
-#X obj 717 506 hradio 15 1 0 5 empty empty empty 0 -8 0 10 -262144
+#X text 748 295 retrieval mode ( see cvFindContours );
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-#X text 799 506 retrieval method ( see cvFindContours );
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-#X msg 683 550 ftolerance \$1;
-#X text 808 551 frame tolerance for identification ( default 5 );
-#X text 30 138 pix_opencv_contours_boundingrect :: Calculates up-right
+#X text 796 319 retrieval method ( see cvFindContours );
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+#X msg 670 341 maxmove \$1;
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+#X msg 680 363 ftolerance \$1;
+#X text 805 364 frame tolerance for identification ( default 5 );
+#X text 9 -93 pix_opencv_contours_boundingrect :: Calculates up-right
 bounding rectangle of all contours of a binary image.;
-#X text 29 211 This object considers a contour to be analyzed any group
+#X text 16 89 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 pix_opencv_contours_boundingrect.;
-#X text 29 265 pix_opencv_contours_boundingrect works detecting any
+#X text 16 143 pix_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 pix_opencv_morphology
 to transform the contours of the shapes to be analyzed..;
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-#X text 871 720 number of contours;
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-#X text 804 595 draw bounding rectangle ( default : on );
-#X msg 732 617 show \$1;
-#X text 817 616 draw the detected contours ( default : off );
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@@ -84,31 +95,31 @@ to transform the contours of the shapes to be analyzed..;
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-#X obj 1202 863 mean_n 25;
-#X text 923 338 TODO ::: in some cases i want to reuse losts tags inmediately
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+#X text 16 268 TODO ::: in some cases i want to reuse losts tags inmediately
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-#X text 924 297 KNOWN BUGS :: in some input data all the blobs are
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-to zero blobs are tagged in a crazy way....;
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+#X text 17 227 KNOWN BUGS :: in some input data all the blobs are tagged
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+#X text 16 308 See also pix_opencv_contour_convexhull that output also
+a contour rotation;
+#X text 8 -153 Synopsis: [pix_opencv_contours_boundingrect];
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