1) Have you considered using MxNx1 arrays for greyscale images, so all
images have the same dimensionality?
2) Instead of defining an RGB class from scratch, would a structured dtype
do what you want?
- Nathaniel
On Aug 9, 2011 2:23 PM, "Alex Flint" wrote:
> Until now, I've been representing RGB
Until now, I've been representing RGB images in numpy using MxNx3 arrays, as
returned by scipy.misc.imread and friends. However, when performing image
transformations, the color dimension is semantically different from the
spatial dimensions. For example, I would like to write an image scaling
func
