MSW
Multi-scale sliced Wasserstein two-sample tests for stationary image distributions.
Install
pip install git+https://github.com/HaouchatY/MSW.git
Quickstart
import torch, msw
A = torch.rand(64, 3, 32, 32)
B = torch.rand(64, 3, 32, 32)
r = msw.test(A, B)
print(r.T, r.p) # statistic, exact p-value
print(r.diagnose())
d, lo, hi = msw.distance(A, B) # distance with 95% CI
More: examples/quickstart.py.
MIT license.
1 maintainer
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