automatic commit

diff --git a/README.txt b/README.txt
index 9ed0e63..c4717a0 100644 (file)
--- a/README.txt
+++ b/README.txt
@@ -8,7 +8,11 @@ INTRODUCTION
      F. Fleuret and D. Geman, "Stationary Features and Cat Detection",
      Journal of Machine Learning Research (JMLR), 2008, to appear.
 
-  Please use that citation when referring to this software.
+  Please use that citation and the original URL
+
+     http://www.idiap.ch/folded-ctf
+
+  when referring to this software.
 
   Contact Francois Fleuret at fleuret@idiap.ch for comments and bug
   reports.
@@ -16,12 +20,10 @@ INTRODUCTION
 INSTALLATION
 ------------
 
-  If you have installed the RateMyKitten images provided on
-
-     http://www.idiap.ch/folded-ctf
-
-  in the source directory, everything should work seamlessly by
-  invoking the ./run.sh script.
+  If you have installed in the same directory as the source code the
+  RateMyKitten images available on the same web page as the source
+  code, everything should work seamlessly by invoking the ./run.sh
+  script.
 
   It will
 

diff --git a/pose.cc b/pose.cc
index 3e30e56..b2b1891 100644 (file)
--- a/pose.cc
+++ b/pose.cc
@@ -96,6 +96,7 @@ bool Pose::collide(int level, Pose *pose) {
 }
 
 void Pose::draw(int thickness, int r, int g, int b, int level, RGBImage *image) {
+
   // Draw the head circle
 
   image->draw_ellipse(thickness, r, g, b,
@@ -119,6 +120,7 @@ void Pose::draw(int thickness, int r, int g, int b, int level, RGBImage *image)
     }
 
     // An ugly way to make a filled disc
+
     for(scalar_t u = 0; u < belly_radius; u += thickness / 2) {
       image->draw_ellipse(thickness, r, g, b, _belly_xc, _belly_yc, u, u, 0);
     }