CPABDiffeomorphism
- class deepinv.transform.CPABDiffeomorphism(*args, n_tesselation=3, zero_boundary=True, volume_perservation=True, override=True, device='cpu', **kwargs)[source]
Bases:
Transform
Continuous Piecewise-Affine-based Diffeomorphism.
Wraps CPAB from the original implementation. From the paper Freifeld et al. Transformations Based on Continuous Piecewise-Affine Velocity Fields.
These diffeomorphisms benefit from fast GPU-accelerated transform + fast inverse.
Requires installing
libcpab
usingpip install git+https://github.com/Andrewwango/libcpab.git
. For more details, seelibcpab
docs.Generates
n_trans
randomly transformed versions.See
deepinv.transform.Transform
for further details and examples...warning
This implementation does not allow using a ``torch.Generator`` to generate reproducible transformations. You may be able to achieve reproducibility by using a global seed instead.
- Parameters:
Examples using CPABDiffeomorphism
:
Image transforms for equivariance & augmentations
Image transforms for equivariance & augmentations