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Well, Ho Ho Ho then and how about this:
https://docs.opencv.org/3.4.1/d8/d65/group__saliency.html
This is not the original Itti & Koch algorithm, and we have not tested here but the docs suggest that python bindings are available and pretty easy to use:
from https://docs.opencv.org/3.4.1/d9/dcd/classcv_1_1saliency_1_1Saliency.html#aeee4f8dae6dd3201fe8569bb7c4b7e19
retval, saliencyMap = cv.saliency_Saliency.computeSaliency(image[, saliencyMap])