does someone know how to calculate covariance matrix of an image in pytorch?

Can you mathematically describe what you want? What is covariance of a single image?

Hello,

I was wondering if you still had any thoughts on this. I’m trying to calculate the structural dissimilarity index metric (DSSIM) and there for using the structural similarity metric (SSIM) to do so. As part of the formula, I need to find the covariance of two images *x* and *xT*. Do you know how I can go about doing this? I know the `numpy.cov`

seems to through a fit because of the three dimensional shape.