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def read_image(filepath):
    im = io.imread(filepath)
    # scale
    (w, h,_) = im.shape
    if (w>h): # height is greater than width
        resizeto = (IMAGE_SIZE, int (round (IMAGE_SIZE * (float (h)  / w))));
    else:
        resizeto = (int (round (IMAGE_SIZE * (float (w)  / h))), IMAGE_SIZE);
    im = misc.imresize(im, resizeto, interp='bicubic').astype(np.float32) # it's float32 as of now
    # swap RBG->BGR
    im = im[:, :, ::-1]
    
    # remove mean (sueezenet mean values)
    im[:, :, 0] -= 104.006
    im[:, :, 1] -= 116.669
    im[:, :, 2] -= 122.679

    
    # padd with 0 (since we're already mean centered the 0 os correct value for padding)
    paddim=np.array((IMAGE_SIZE,IMAGE_SIZE))-np.array(resizeto)
    npad=((0,paddim[0]),(0,paddim[1]),(0,0))
    im = np.pad(im,npad, mode='constant')
    return im

def unprocess_image(im):   
    # restore mean (sueezenet mean values)
    im[:, :, 0] += 104.006
    im[:, :, 1] += 116.669
    im[:, :, 2] += 122.679
    
    # swap RBGR->RBG
    im = im[:, :, ::-1]
    
    return im