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| author | Edoardo Pasca <edo.paskino@gmail.com> | 2018-04-17 18:06:41 +0100 |
|---|---|---|
| committer | Edoardo Pasca <edo.paskino@gmail.com> | 2018-04-17 18:06:41 +0100 |
| commit | 1f9e7441198a6f088dfed311a067e8acf05d4d3b (patch) | |
| tree | ad4ec59c3277ea5cccd4f1e2be8ee4d7d2813e1b /Wrappers | |
| parent | 70f31bf2b94f262d799486d693494a85040e3e9d (diff) | |
| download | framework-plugins-1f9e7441198a6f088dfed311a067e8acf05d4d3b.tar.gz framework-plugins-1f9e7441198a6f088dfed311a067e8acf05d4d3b.tar.bz2 framework-plugins-1f9e7441198a6f088dfed311a067e8acf05d4d3b.tar.xz framework-plugins-1f9e7441198a6f088dfed311a067e8acf05d4d3b.zip | |
removed LinearOperatorMatrix and added check of geometries in ccpi operator
Diffstat (limited to 'Wrappers')
| -rwxr-xr-x | Wrappers/Python/ccpi/plugins/ops.py | 72 |
1 files changed, 42 insertions, 30 deletions
diff --git a/Wrappers/Python/ccpi/plugins/ops.py b/Wrappers/Python/ccpi/plugins/ops.py index 0028cf1..aeb51af 100755 --- a/Wrappers/Python/ccpi/plugins/ops.py +++ b/Wrappers/Python/ccpi/plugins/ops.py @@ -19,49 +19,61 @@ import numpy
from ccpi.optimisation.ops import Operator, PowerMethodNonsquare
-from ccpi.framework import ImageData, DataContainer
-from ccpi.plugins.processors import CCPiBackwardProjector, CCPiForwardProjector
-
-class LinearOperatorMatrix(Operator):
- def __init__(self,A):
- self.A = A
- self.s1 = None # Largest singular value, initially unknown
- super(LinearOperatorMatrix, self).__init__()
-
- def direct(self,x):
- return DataContainer(numpy.dot(self.A,x.as_array()))
-
- def adjoint(self,x):
- return DataContainer(numpy.dot(self.A.transpose(),x.as_array()))
-
- def size(self):
- return self.A.shape
-
- def get_max_sing_val(self):
- # If unknown, compute and store. If known, simply return it.
- if self.s1 is None:
- self.s1 = svds(self.A,1,return_singular_vectors=False)[0]
- return self.s1
- else:
- return self.s1
+from ccpi.framework import ImageData, DataContainer , \
+ ImageGeometry, AcquisitionGeometry
+from ccpi.plugins.processors import CCPiBackwardProjector, \
+ CCPiForwardProjector , setupCCPiGeometries
class CCPiProjectorSimple(Operator):
"""ASTRA projector modified to use DataSet and geometry."""
- def __init__(self, geomv, geomp):
+ def __init__(self, geomv, geomp, default=False):
super(CCPiProjectorSimple, self).__init__()
# Store volume and sinogram geometries.
self.acquisition_geometry = geomp
self.volume_geometry = geomv
- self.fp = CCPiForwardProjector(image_geometry=geomv,
- acquisition_geometry=geomp,
+ if geomp.geom_type == "cone":
+ raise TypeError('Can only handle parallel beam')
+
+ # set-up the geometries if compatible
+ geoms = setupCCPiGeometries(geomv.voxel_num_x,geomv.voxel_num_y,
+ geomv.voxel_num_z, geomp.angles, 0)
+
+
+ vg = ImageGeometry(voxel_num_x=geoms['output_volume_x'],
+ voxel_num_y=geoms['output_volume_y'],
+ voxel_num_z=geoms['output_volume_z'])
+
+ pg = AcquisitionGeometry('parallel',
+ '3D',
+ geomp.angles,
+ geoms['n_h'], geomp.pixel_size_h,
+ geoms['n_v'], geomp.pixel_size_v #2D in 3D is a slice 1 pixel thick
+ )
+ if not default:
+ # check if geometry is the same (on the voxels)
+ if not ( vg.voxel_num_x == geomv.voxel_num_x and \
+ vg.voxel_num_y == geomv.voxel_num_y and \
+ vg.voxel_num_z == geomv.voxel_num_z ):
+ msg = 'The required volume geometry will not work\nThe following would\n'
+ msg += vg.__str__()
+ raise ValueError(msg)
+ if not (pg.pixel_num_h == geomp.pixel_num_h and \
+ pg.pixel_num_v == geomp.pixel_num_v and \
+ len( pg.angles ) == len( geomp.angles ) ) :
+ msg = 'The required acquisition geometry will not work\nThe following would\n'
+ msg += pg.__str__()
+ raise ValueError(msg)
+
+ self.fp = CCPiForwardProjector(image_geometry=vg,
+ acquisition_geometry=pg,
output_axes_order=['angle','vertical','horizontal'])
- self.bp = CCPiBackwardProjector(image_geometry=geomv,
- acquisition_geometry=geomp,
+ self.bp = CCPiBackwardProjector(image_geometry=vg,
+ acquisition_geometry=pg,
output_axes_order=['horizontal_x','horizontal_y','vertical'])
# Initialise empty for singular value.
|