-Convert image to Lab color for easier warmness rating (now it actually gives a sane rating that isn't wildly unpredictable)
-Use ImageCms module to create Lab color profile and convert from sRGB
-Normalize pixel rating and give each component of Lab 33.3% weight
-Take away more sane values for size/aspect differences
-Add functions to clamp and normalize numbers
-Color rating: red for crap, yellow for ok, green for good
-Remove un-needed RGB conversion and 3D color space code
-Clean up verbose output
-Output how many points lost due to size differences in verbose mode