I already use ITK-snap to process an affine registration : 3D volume image A to B.
Then I get a matrix:
0.97464 0.0364447 0.00781475 1.95549
0.00375859 0.922498 0.0297265 -8.87417
-0.00727863 -0.0145295 0.961844 -1.10425
0 0 0 1
I think it’s incompatibal in F.affine_grid theta.
The shape of affine_grid shape is (N, 3, 4)
likes: R | T
[a, b, c, t0],
[e, f, g, t1],
[h, i, j, t2]
I think the anterior three rows of the matrix is theta, but it’s wrong.
the R is likely equal to theta[:3, :3],(I am not sure)
but the T (t0, t1, t2) must be incompatible.
How can I get a right theta?
By the way, how can I know what does the torch.nn.functioal.affine_grid really do ?