Hello everybody,
I want to concatenate 2 numpy array which in fact are RGB images:
def concat_images(im1,im2):
rows1 = im1.shape[0]
rows2 = im2.shape[0]
if rows1 < rows2:
im1 = concatenate((im1,zeros((rows2-rows1,im1.shape[1],3), int)),
axis=0)
elif rows1 > rows2:
im2 = concatenate((im2,zeros((rows1-rows2,im2.shape[1],3), int)),
axis=0)
return concatenate((im1,im2), axis=1)
It's all working fine, except that the images when showing with pylab
are somewhat interpreted as HSV images as it looks. The function zeros()
must be responsible for that circumstance, because when the arrays have
the same shape and are concatenated they appear as horizontally
concatenated images as I expected.
Can someone help me with that?
Thanks a lot,
Basti
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