问题
I have a 3D-numpy array of a gray image, which looks something like this:
[[[120,120,120],[67,67,67]]...]
Obviously I have every R G and B the same because it is a gray image - this is redundent. I want to get a new 2D array which looks like:
[[120,67]...]
Which means to take every pixel's array [x,x,x] to just the value x
How can I do that?
回答1:
If the shape of your ndarray is (M, N, 3), then you can get an (M, N) gray-scale image like this:
>>> gray = img[:,:,0]
来源：https://stackoverflow.com/questions/14365029/numpy-3d-image-array-to-2d