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| author | epapoutsellis <epapoutsellis@gmail.com> | 2019-04-30 14:52:38 +0100 |
|---|---|---|
| committer | epapoutsellis <epapoutsellis@gmail.com> | 2019-04-30 14:52:38 +0100 |
| commit | cf0efd0a729be773cb6ae9a0f3700267447e2674 (patch) | |
| tree | f8ff050b3d51e8b8c4e705a5959215891e093b9a /Wrappers | |
| parent | 3d9d130e4624cbf2b3c340ca2c74e94c7b90b4e3 (diff) | |
| download | framework-cf0efd0a729be773cb6ae9a0f3700267447e2674.tar.gz framework-cf0efd0a729be773cb6ae9a0f3700267447e2674.tar.bz2 framework-cf0efd0a729be773cb6ae9a0f3700267447e2674.tar.xz framework-cf0efd0a729be773cb6ae9a0f3700267447e2674.zip | |
minor fix demos
Diffstat (limited to 'Wrappers')
4 files changed, 4 insertions, 4 deletions
diff --git a/Wrappers/Python/wip/Demos/PDHG_TGV_Tomo2D.py b/Wrappers/Python/wip/Demos/PDHG_TGV_Tomo2D.py index 26578bb..49d4db6 100644 --- a/Wrappers/Python/wip/Demos/PDHG_TGV_Tomo2D.py +++ b/Wrappers/Python/wip/Demos/PDHG_TGV_Tomo2D.py @@ -51,7 +51,7 @@ detectors = N angles = np.linspace(0, np.pi, N, dtype=np.float32) ag = AcquisitionGeometry('parallel','2D',angles, detectors) -Aop = AstraProjectorSimple(ig, ag, 'cpu') +Aop = AstraProjectorSimple(ig, ag, 'gpu') sin = Aop.direct(data) # Create noisy data. Apply Poisson noise diff --git a/Wrappers/Python/wip/Demos/PDHG_TV_Denoising_Poisson.py b/Wrappers/Python/wip/Demos/PDHG_TV_Denoising_Poisson.py index 58978ae..4903c44 100644 --- a/Wrappers/Python/wip/Demos/PDHG_TV_Denoising_Poisson.py +++ b/Wrappers/Python/wip/Demos/PDHG_TV_Denoising_Poisson.py @@ -48,7 +48,7 @@ noisy_data = ImageData(n1) # Regularisation Parameter alpha = 2 -method = '0' +method = '1' if method == '0': diff --git a/Wrappers/Python/wip/Demos/PDHG_Tikhonov_Denoising.py b/Wrappers/Python/wip/Demos/PDHG_Tikhonov_Denoising.py index 3f275e2..041d4ee 100644 --- a/Wrappers/Python/wip/Demos/PDHG_Tikhonov_Denoising.py +++ b/Wrappers/Python/wip/Demos/PDHG_Tikhonov_Denoising.py @@ -47,7 +47,7 @@ noisy_data = ImageData(n1) # Regularisation Parameter alpha = 4 -method = '1' +method = '0' if method == '0': diff --git a/Wrappers/Python/wip/Demos/PDHG_Tikhonov_Tomo2D.py b/Wrappers/Python/wip/Demos/PDHG_Tikhonov_Tomo2D.py index 5c03362..f17c4fe 100644 --- a/Wrappers/Python/wip/Demos/PDHG_Tikhonov_Tomo2D.py +++ b/Wrappers/Python/wip/Demos/PDHG_Tikhonov_Tomo2D.py @@ -43,7 +43,7 @@ detectors = N angles = np.linspace(0, np.pi, N, dtype=np.float32) ag = AcquisitionGeometry('parallel','2D',angles, detectors) -Aop = AstraProjectorSimple(ig, ag, 'cpu') +Aop = AstraProjectorSimple(ig, ag, 'gpu') sin = Aop.direct(data) # Create noisy data. Apply Gaussian noise |