Vincent Schut wrote: > Lets say I have a rgb image of arbitrary size, as a normal ndarray > (that's what my image reading lib gives me). Thus shape is > (3,ysize,xsize), dtype = int8. How would I convert/view this as a > recarray of shape (ysize, xsize) with the first dimension split up into > 'r', 'g', 'b' fields? No need for 'x' and 'y' fields.
Take a look in this list for a thread entitled "recarray fun" about a month ago -- you'll find some more discussion of approaches. Also, if you image data is rgb, usually, that's a (width, height, 3) array: rgbrgbrgbrgb... in memory. If you have a (3, width, height) array, then that's rrrrrrr....gggggggg......bbbbbbbb. Some image libs may give you that, I'm not sure. Also, you probably want a uint8 dtype, giving you 0-255 for each byte. -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception [EMAIL PROTECTED] _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
