Is it possible to accelerate nested for loop in python?
I have to go through a whole image, pixel by pixel. Can I do something to speed it up?:
sz = np.shape(img)
prob = np.zeros((sz[0],sz[1]))
for i in range(sz[0]):
for j in range(sz[1]):
prob[i, j] = rgbMtx[img[i, j, 0], img[i, j, 1], img[i, j, 2]]
How about:
i, j, k = img[:, :, 0], img[:, :, 1], img[:, :, 2]
prob = rgMtx[i, j, k]