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| author | Daniil Kazantsev <dkazanc@hotmail.com> | 2019-03-06 23:34:55 +0000 |
|---|---|---|
| committer | Daniil Kazantsev <dkazanc@hotmail.com> | 2019-03-06 23:34:55 +0000 |
| commit | cfcc4be4413f65a0b9c4ef197687e3a167eff0e8 (patch) | |
| tree | 41f7154e9e986d6429be9ba6289902edf1f91ec7 /demos/SoftwareX_supp | |
| parent | 4b29a6adc924bf8a4b3e4f9835ded93a3a2f7b92 (diff) | |
| download | regularization-cfcc4be4413f65a0b9c4ef197687e3a167eff0e8.tar.gz regularization-cfcc4be4413f65a0b9c4ef197687e3a167eff0e8.tar.bz2 regularization-cfcc4be4413f65a0b9c4ef197687e3a167eff0e8.tar.xz regularization-cfcc4be4413f65a0b9c4ef197687e3a167eff0e8.zip | |
cont1
Diffstat (limited to 'demos/SoftwareX_supp')
| -rw-r--r-- | demos/SoftwareX_supp/Demo_VolumeDenoise.py | 44 |
1 files changed, 24 insertions, 20 deletions
diff --git a/demos/SoftwareX_supp/Demo_VolumeDenoise.py b/demos/SoftwareX_supp/Demo_VolumeDenoise.py index 17cdf4d..6e7ea46 100644 --- a/demos/SoftwareX_supp/Demo_VolumeDenoise.py +++ b/demos/SoftwareX_supp/Demo_VolumeDenoise.py @@ -120,19 +120,21 @@ print("ROF-TV (gpu) ____ RMSE: {}, MMSIM: {}, run time: {} sec".format(RMSE_rof, #%% print ("#############FGP TV CPU####################") # set parameters -pars = {'algorithm':FGP_TV, \ +pars = {'algorithm' : FGP_TV, \ 'input' : phantom_noise,\ - 'regularisation_parameter':0.04,\ - 'number_of_iterations': 300,\ - 'time_marching_parameter': 0.0025,\ - 'tolerance_constant':1e-05,\ - } + 'regularisation_parameter':0.05, \ + 'number_of_iterations' :100 ,\ + 'tolerance_constant':1e-04,\ + 'methodTV': 0 ,\ + 'nonneg': 0} tic=timeit.default_timer() -fgp_cpu3D = FGP_TV(pars['input'], - pars['regularisation_parameter'], - pars['number_of_iterations'], - pars['time_marching_parameter'],'cpu') +(fgp_cpu3D, infoFGP) = FGP_TV(pars['input'], + pars['regularisation_parameter'], + pars['number_of_iterations'], + pars['tolerance_constant'], + pars['methodTV'], + pars['nonneg'],'cpu') toc=timeit.default_timer() Run_time_fgp = toc - tic @@ -149,19 +151,21 @@ print("FGP-TV (cpu) ____ RMSE: {}, MMSIM: {}, run time: {} sec".format(RMSE_rof, #%% print ("#############FGP TV GPU####################") # set parameters -pars = {'algorithm':FGP_TV, \ +pars = {'algorithm' : FGP_TV, \ 'input' : phantom_noise,\ - 'regularisation_parameter':0.04,\ - 'number_of_iterations': 300,\ - 'time_marching_parameter': 0.0025,\ - 'tolerance_constant':1e-05,\ - } + 'regularisation_parameter':0.05, \ + 'number_of_iterations' :80 ,\ + 'tolerance_constant':1e-04,\ + 'methodTV': 0 ,\ + 'nonneg': 0} tic=timeit.default_timer() -fgp_gpu3D = FGP_TV(pars['input'], - pars['regularisation_parameter'], - pars['number_of_iterations'], - pars['time_marching_parameter'],'gpu') +(fgp_gpu3D) = FGP_TV(pars['input'], + pars['regularisation_parameter'], + pars['number_of_iterations'], + pars['tolerance_constant'], + pars['methodTV'], + pars['nonneg'],'gpu') toc=timeit.default_timer() Run_time_fgp = toc - tic |