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| author | Edoardo Pasca <edo.paskino@gmail.com> | 2018-03-14 16:56:55 +0000 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2018-03-14 16:56:55 +0000 |
| commit | 137aff20e4db7a75dc0e45a98e747fe4cadcdc7c (patch) | |
| tree | c39058ca2d94f4e159af3ae5d15ed873b0fbedf3 /Wrappers | |
| parent | f75bc1f655a0c273c4ec89c30cc4f0f92cd12426 (diff) | |
| download | framework-137aff20e4db7a75dc0e45a98e747fe4cadcdc7c.tar.gz framework-137aff20e4db7a75dc0e45a98e747fe4cadcdc7c.tar.bz2 framework-137aff20e4db7a75dc0e45a98e747fe4cadcdc7c.tar.xz framework-137aff20e4db7a75dc0e45a98e747fe4cadcdc7c.zip | |
use lower_case in methods (#62)
Diffstat (limited to 'Wrappers')
| -rw-r--r-- | Wrappers/Python/ccpi/astra/astra_ops.py | 4 | ||||
| -rw-r--r-- | Wrappers/Python/ccpi/astra/astra_processors.py | 32 |
2 files changed, 19 insertions, 17 deletions
diff --git a/Wrappers/Python/ccpi/astra/astra_ops.py b/Wrappers/Python/ccpi/astra/astra_ops.py index c409529..5f25eec 100644 --- a/Wrappers/Python/ccpi/astra/astra_ops.py +++ b/Wrappers/Python/ccpi/astra/astra_ops.py @@ -17,9 +17,11 @@ from ccpi.reconstruction.ops import Operator import numpy +import astra from ccpi.framework import AcquisitionData, ImageData from ccpi.reconstruction.ops import PowerMethodNonsquare -from ccpi.astra.astra_processors import * +from ccpi.astra.astra_processors import AstraForwardProjector, AstraBackProjector, \ + AstraForwardProjectorMC, AstraBackProjectorMC class AstraProjectorSimple(Operator): """ASTRA projector modified to use DataSet and geometry.""" diff --git a/Wrappers/Python/ccpi/astra/astra_processors.py b/Wrappers/Python/ccpi/astra/astra_processors.py index bf6048b..3de43bf 100644 --- a/Wrappers/Python/ccpi/astra/astra_processors.py +++ b/Wrappers/Python/ccpi/astra/astra_processors.py @@ -28,8 +28,8 @@ class AstraForwardProjector(DataSetProcessor): #DataSetProcessor.__init__(self, **kwargs) super(AstraForwardProjector, self).__init__(**kwargs) - self.setVolumeGeometry(volume_geometry) - self.setSinogramGeometry(sinogram_geometry) + self.set_ImageGeometry(volume_geometry) + self.set_AcquisitionGeometry(sinogram_geometry) # Set up ASTRA Volume and projection geometry, not to be stored in self vol_geom, proj_geom = convert_geometry_to_astra(self.volume_geometry, @@ -39,13 +39,13 @@ class AstraForwardProjector(DataSetProcessor): if device == 'cpu': # Note that 'line' only one option if self.sinogram_geometry.geom_type == 'parallel': - self.setProjector(astra.create_projector('line', proj_geom, vol_geom) ) + self.set_projector(astra.create_projector('line', proj_geom, vol_geom) ) elif self.sinogram_geometry.geom_type == 'cone': - self.setProjector(astra.create_projector('line_fanflat', proj_geom, vol_geom) ) + self.set_projector(astra.create_projector('line_fanflat', proj_geom, vol_geom) ) else: NotImplemented elif device == 'gpu': - self.setProjector(astra.create_projector('cuda', proj_geom, vol_geom) ) + self.set_projector(astra.create_projector('cuda', proj_geom, vol_geom) ) else: NotImplemented @@ -57,13 +57,13 @@ class AstraForwardProjector(DataSetProcessor): raise ValueError("Expected input dimensions is 2 or 3, got {0}"\ .format(dataset.number_of_dimensions)) - def setProjector(self, proj_id): + def set_projector(self, proj_id): self.proj_id = proj_id - def setVolumeGeometry(self, volume_geometry): + def set_ImageGeometry(self, volume_geometry): self.volume_geometry = volume_geometry - def setSinogramGeometry(self, sinogram_geometry): + def set_AcquisitionGeometry(self, sinogram_geometry): self.sinogram_geometry = sinogram_geometry def process(self): @@ -102,8 +102,8 @@ class AstraBackProjector(DataSetProcessor): #DataSetProcessor.__init__(self, **kwargs) super(AstraBackProjector, self).__init__(**kwargs) - self.setVolumeGeometry(volume_geometry) - self.setSinogramGeometry(sinogram_geometry) + self.set_ImageGeometry(volume_geometry) + self.set_AcquisitionGeometry(sinogram_geometry) # Set up ASTRA Volume and projection geometry, not to be stored in self vol_geom, proj_geom = convert_geometry_to_astra(self.volume_geometry, @@ -113,13 +113,13 @@ class AstraBackProjector(DataSetProcessor): if device == 'cpu': # Note that 'line' only one option if self.sinogram_geometry.geom_type == 'parallel': - self.setProjector(astra.create_projector('line', proj_geom, vol_geom) ) + self.set_projector(astra.create_projector('line', proj_geom, vol_geom) ) elif self.sinogram_geometry.geom_type == 'cone': - self.setProjector(astra.create_projector('line_fanflat', proj_geom, vol_geom) ) + self.set_projector(astra.create_projector('line_fanflat', proj_geom, vol_geom) ) else: NotImplemented elif device == 'gpu': - self.setProjector(astra.create_projector('cuda', proj_geom, vol_geom) ) + self.set_projector(astra.create_projector('cuda', proj_geom, vol_geom) ) else: NotImplemented @@ -130,13 +130,13 @@ class AstraBackProjector(DataSetProcessor): raise ValueError("Expected input dimensions is 2 or 3, got {0}"\ .format(dataset.number_of_dimensions)) - def setProjector(self, proj_id): + def set_projector(self, proj_id): self.proj_id = proj_id - def setVolumeGeometry(self, volume_geometry): + def set_ImageGeometry(self, volume_geometry): self.volume_geometry = volume_geometry - def setSinogramGeometry(self, sinogram_geometry): + def set_AcquisitionGeometry(self, sinogram_geometry): self.sinogram_geometry = sinogram_geometry def process(self): |