Hello all, I'm doing something silly with images and am unable to figure out the right way to express this with "fancy indexing" -- or anything other than a brute for-loop for that matter.
The basic gist is that I have an array representing n images, of shape (n, x, y). I also have a "map" of shape (x, y), which contains indices in the range [0, n-1]. I then want to construct the "composite" image, of shape (x, y), with pixels selected from the n source images as per the indices in the map, i.e.: composite[x, y] = images[map[x, y], x, y] for all (x, y). Now, I can't figure out if there's an easy way to express this in numpy. For that matter, I can't even figure out a simple way to do the 1D version of the same: composite[i] = images[map[i], i] where composite and map have shape (m,), and images has shape (n, m). Can anyone assist? Surely there's something simple that I'm just not seeing. Thanks, Zach _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
