pyLDDMM
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Bug in pyLDDMM
Hi Steffen, I has a trouble when I running your code, my template and target is 70110, then the function coordinate_grid transpose the size to 11070. but when I shift the (2,1,0) to (0,1,2) in function coordinate_grid and sample. The algorithm just stop because of the det(jacobi) is negative. Do you know how to solve this ?
Can you supply the input images to allow me to reproduce the issue?
Hi Steffen, I have the same or almost the same problem. You can reproduce the bug using any NxM image where N != M. For example using these
Issue persists, using non-square images throw exceptions