I wonder naively: if you can make rules, why train something to learn
them vs. just implementing them directly? I'm really curious if there's
an advantage in logistics or performance (can meaningful extrapolation
somehow occur?).
I think the answer for machine learning is not to make rules, bu
Hi,
I am using SSIM to compare 2 video streams\sets of images and I find it to
be almost too accurate. I would like some fudge factor like other image
comparison tools have. I used to do it in an automated test suite but due
to file sizes and amounts I turned to scikit.
I do quality assurance on
