I found this in my del.icio.us links, sorry I forgot to mention it at the time:
http://www.owlnet.rice.edu/~elec301/Projects99/faces/code.html All the best On Thu, Mar 6, 2008 at 10:39 AM, [EMAIL PROTECTED] <[EMAIL PROTECTED]> wrote: > ok..I coded everything again from scratch..looks like i was having a > problem with matrix class > when i used a matrix for facespace > facespace=sortedeigenvectorsmatrix * adjustedfacematrix > and trying to convert the row to an image (eigenface). > by > make_simple_image(facespace[x],"eigenimage_x.jpg",(imgwdth,imght)) > .i was getting black images instead of eigenface images. > > def make_simple_image(v, filename,imsize): > v.shape=(-1,) #change to 1 dim array > im = Image.new('L', imsize) > im.putdata(v) > im.save(filename) > > > i made it an array instead of matrix > make_simple_image(asarray(facespace[x]),"eigenimage_x.jpg", > (imgwdth,imght)) > this produces eigenface images > > another observation, > the eigenface images obtained are too dark,unlike the eigenface images > generated by Arnar's code.so i examined the elements of the facespace > row > > sample rows: > [ -82.35294118, -82.88235294, -91.58823529 ,..., -66.47058824, > -68.23529412, -60.76470588] > .. > [ 89.64705882 82.11764706 79.41176471 ..., 172.52941176 > 170.76470588 165.23529412] > > looks like these are signed ints.. > > i used another make_image() function that converts the elements > def make_image(v, filename,imsize): > v.shape = (-1,) #change to 1 dim array > a, b = v.min(), v.max() > span = max(abs(b), abs(a)) > im = Image.new('L', imsize) > im.putdata((v * 127. / span) + 128) > im.save(filename) > > This function makes clearer images..i think the calculations convert > the elements to unsigned 8-bit values (as pointed out by Robin in > another posting..) ,i am wondering if there is a more direct way to > get clearer pics out of the facespace row elements > > > > > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion > -- Peter N. Skomoroch [EMAIL PROTECTED] http://www.datawrangling.com
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