some improvements in the help patches

svn path=/trunk/externals/pix_opencv/; revision=12395

1 files changed, 199 insertions, 158 deletions

diff --git a/pix_opencv_contours_convexity-help.pd b/pix_opencv_contours_convexity-help.pd
index 3d06f75..e57cd0e 100644
--- a/pix_opencv_contours_convexity-help.pd
+++ b/pix_opencv_contours_convexity-help.pd
@@ -1,13 +1,70 @@
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-#X obj 195 378 pix_texture;
-#X obj 195 406 square 2;
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+#X obj 816 778 unpack 0 0 0 0 0 0;
+#X floatatom 911 804 5 0 0 0 - - -;
+#X floatatom 945 804 5 0 0 0 - - -;
+#X text 916 698 For each convexity defect in our contour;
+#X text 855 843 Start point (X -Y);
+#X text 919 823 Depth point (X -Y);
+#X text 984 805 End point (X -Y);
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+#X text 1301 801 End point (X -Y);
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+#X text 1508 825 Depth point (X -Y);
+#X text 1573 807 End point (X -Y);
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+#X text 1775 834 Depth point (X -Y);
+#X text 1840 816 End point (X -Y);
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+#X text 718 724 number convexity defects;
+#X text 46 156 pix_opencv_contours_convexity :: Finds convexity defects
+of the bigest contour of a binary image.;
+#X text 45 192 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 46 245 pix_opencv_contours_boundingrect 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..;
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+#X obj 65 41 route create;
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@@ -17,11 +74,11 @@
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-#X text 297 404 number convexity defects;
-#X text 505 194 pix_opencv_contours_convexity :: Finds convexity defects
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-#X text 504 230 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 505 283 pix_opencv_contours_boundingrect works detecting the
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