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deepinv.datasets
deepinv.distributed
deepinv.loss
deepinv.models
deepinv.metric
- Metric
- MSE
- NMSE
- MAE
- PSNR
- SNR
- SSIM
- L1L2
- LpNorm
- LPIPS
- SpectralAngleMapper
- ERGAS
- HaarPSI
- CosineSimilarity
- NIQE
- QNR
- BlurStrength
- SharpnessIndex
deepinv.optim
- optim_builder
- BaseOptim
- BacktrackingConfig
- AndersonAccelerationConfig
- DEQConfig
- GD
- PGD
- FISTA
- ADMM
- DRS
- HQS
- MD
- PMD
- PDCP
- SIRT
- MLEM
- Potential
- DataFidelity
- StackedPhysicsDataFidelity
- L1
- L2
- IndicatorL2
- PoissonLikelihood
- LogPoissonLikelihood
- AmplitudeLoss
- ZeroFidelity
- ItohFidelity
- Prior
- PnP
- RED
- ScorePrior
- ZeroPrior
- Tikhonov
- L1Prior
- WaveletPrior
- TVPrior
- PatchPrior
- PatchNR
- L12Prior
- DPIR
- EPLL
- Bregman
- BregmanL2
- BurgEntropy
- NegEntropy
- Bregman_ICNN
- Distance
- L2Distance
- IndicatorL2Distance
- PoissonLikelihoodDistance
- L1Distance
- AmplitudeLossDistance
- LogPoissonLikelihoodDistance
- ZeroDistance
- FixedPoint
- OptimIterator
- fStep
- gStep
- GDIteration
- PGDIteration
- FISTAIteration
- CPIteration
- ADMMIteration
- DRSIteration
- HQSIteration
- MDIteration
- PMDIteration
- SMIteration
- MLEMIteration
- SIRTIteration
- least_squares
- least_squares_implicit_backward
- lsqr
- bicgstab
- minres
- conjugate_gradient
- gradient_descent
- correct_global_phase
- spectral_methods
- GaussianMixtureModel
deepinv.physics
deepinv.sampling
deepinv.transform
- Transform
- Rotate
- Shift
- Scale
- Reflect
- Identity
- Homography
- Euclidean
- Similarity
- Affine
- PanTiltRotate
- CPABDiffeomorphism
- rotate_via_shear
- ShiftTime
- RandomNoise
- RandomPhaseError
deepinv.training
deepinv.unfolded
deepinv.utils

API
deepinv.utils
generate_shepp_logan

generate_shepp_logan#

deepinv.utils.phantoms.generate_shepp_logan(size)[source]#: Generate a Shepp-Logan phantom approximation in PyTorch.

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load_degradation

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generate_random_phantom

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generate_shepp_logan()

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