BNW using Octave instead of Matlab.

This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning.

I am calling this BNW_1.02. It can be accessed at:
compbio.uthsc.edu/BNW_1.02

1 files changed, 36 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/KPMtools/image_rgb.m b/sourcecodes/bnt-master/KPMtools/image_rgb.m
new file mode 100644
index 00000000..e8d65883
--- /dev/null
+++ b/sourcecodes/bnt-master/KPMtools/image_rgb.m
@@ -0,0 +1,36 @@
+function image_rgb(M)
+% Show a matrix of integers as a color image.
+% This is like imagesc, except we know what the mapping is from integer to color.
+% If entries of M contain integers in {1,2,3}, we map
+% this to red/green/blue 
+
+cmap = [1 0 0; % red
+	0 1 0; % green
+	0 0 1; % blue
+	127/255 1 212/255]; % aquamarine
+image(M)
+set(gcf,'colormap', cmap);
+
+if 1
+  % make dummy handles, one per object type, for the legend
+  str = {};
+  for i=1:size(cmap,1)
+    dummy_handle(i) = line([0 0.1], [0 0.1]);
+    set(dummy_handle(i), 'color', cmap(i,:));
+    set(dummy_handle(i), 'linewidth', 2);
+    str{i} = num2str(i);
+  end
+  legend(dummy_handle, str, -1);
+end
+
+if 0
+[nrows ncols] = size(M);
+img = zeros(nrows, ncols, 3);
+for r=1:nrows
+  for c=1:ncols
+    q = M(r,c);
+    img(r,c,q) = 1;
+  end
+end
+image(img)
+end