over an image space and finding the locations where the sum of pixels in
the rectangles exceeds a threshold.

way it is obvious what file to #include to get them.

MAP inference.

alpha channel into something without an alpha channel there were
uninitialized values being alpha blended into the image.

which contain simple 8bit POD pixel types.  This makes the serialize
routines much faster in these cases.

 - Added width_step() to array2d to help define the memory layout.  Also added
   it to cv_image to keep the interfaces compatible.
 - Fixed a typo in the deserialize for array2d objects.  The template wasn't
   declared properly.

in BGR order rather than RGB.

they report the entire set of LOO prediction values rather than a
summary statistic like mean squared error.

mean_sign_agreement(), correlation(), covariance(), r_squared(),
and mean_squared_error()

when using the multiple selection feature.

available image data.  Previously, more pixels on the right and bottom
of the image were cropped than was necessary.

rectangular areas instead of just square areas.

code to not compile when used with the mingw-cross-env project.

automatically size itself properly when a zoom is in effect and you place a new
image into it.

in you could see that some of the pixels which are inside the rectangle were
outside the overlay.  Specifically, the right column and bottom row was outside
the overlay rectangle.  This has been fixed.  Now all pixels which are supposed
to be part of a rectangle are drawn as being inside the overlay rectangle.

type of scalar used to store the sums.

compile in more contexts.