diff options
Diffstat (limited to 'Wrappers')
| -rw-r--r-- | Wrappers/Python/wip/demo_imat_whitebeam.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/Wrappers/Python/wip/demo_imat_whitebeam.py b/Wrappers/Python/wip/demo_imat_whitebeam.py index e2ffdb7..e0d213e 100644 --- a/Wrappers/Python/wip/demo_imat_whitebeam.py +++ b/Wrappers/Python/wip/demo_imat_whitebeam.py @@ -21,18 +21,18 @@ from ccpi.optimisation.algs import CGLS, FISTA from ccpi.optimisation.funcs import Norm2sq, Norm1 # Load and display a couple of summed projection as examples -pathname0 = '/media/jakob/050d8d45-fab3-4285-935f-260e6c5f162c1/Data/neutrondata/PSI_phantom_IMAT/DATA/Sample/angle0/' +pathname0 = '/media/newhd/shared/Data/neutrondata/PSI_phantom_IMAT/DATA/Sample/angle0/' filename0 = 'IMAT00004675_Tomo_test_000_SummedImg.fits' data0 = read_fits(pathname0 + filename0) -pathname10 = '/media/jakob/050d8d45-fab3-4285-935f-260e6c5f162c1/Data/neutrondata/PSI_phantom_IMAT/DATA/Sample/angle10/' +pathname10 = '/media/newhd/shared/Data/neutrondata/PSI_phantom_IMAT/DATA/Sample/angle10/' filename10 = 'IMAT00004685_Tomo_test_000_SummedImg.fits' data10 = read_fits(pathname10 + filename10) # Load a flat field (more are available, should we average over them?) -flat1 = read_fits('/media/jakob/050d8d45-fab3-4285-935f-260e6c5f162c1/Data/neutrondata/PSI_phantom_IMAT/DATA/OpenBeam_aft1/IMAT00004932_Tomo_test_000_SummedImg.fits') +flat1 = read_fits('/media/newhd/shared/Data/neutrondata/PSI_phantom_IMAT/DATA/OpenBeam_aft1/IMAT00004932_Tomo_test_000_SummedImg.fits') # Apply flat field and display after flat-field correction and negative log data0_rel = numpy.zeros(numpy.shape(flat1), dtype = float) @@ -58,7 +58,7 @@ plt.colorbar() plt.show() # Set up for loading all summed images at 250 angles. -pathname = '/media/jakob/050d8d45-fab3-4285-935f-260e6c5f162c1/Data/neutrondata/PSI_phantom_IMAT/DATA/Sample/angle{}/' +pathname = '/media/newhd/shared/Data/neutrondata/PSI_phantom_IMAT/DATA/Sample/angle{}/' filename = 'IMAT0000{}_Tomo_test_000_SummedImg.fits' # Dimensions |