diff options
Diffstat (limited to 'Wrappers/Python/demo')
| -rw-r--r-- | Wrappers/Python/demo/test_cpu_regularizers.py | 21 |
1 files changed, 9 insertions, 12 deletions
diff --git a/Wrappers/Python/demo/test_cpu_regularizers.py b/Wrappers/Python/demo/test_cpu_regularizers.py index 1d97857..76b9de7 100644 --- a/Wrappers/Python/demo/test_cpu_regularizers.py +++ b/Wrappers/Python/demo/test_cpu_regularizers.py @@ -11,10 +11,8 @@ import numpy as np import os from enum import Enum import timeit -from ccpi.filters.cpu_regularizers_boost import SplitBregman_TV, LLT_model, PatchBased_Regul ,\ - TGV_PD -from ccpi.filters.cpu_regularizers_cython import TV_ROF_CPU, TV_FGP_CPU - +from ccpi.filters.cpu_regularizers_boost import SplitBregman_TV, LLT_model, PatchBased_Regul, TGV_PD +from ccpi.filters.regularizers import ROF_TV, FGP_TV ############################################################################### #https://stackoverflow.com/questions/13875989/comparing-image-in-url-to-image-in-filesystem-in-python/13884956#13884956 #NRMSE a normalization of the root of the mean squared error @@ -127,7 +125,7 @@ imgplot = plt.imshow(splitbregman,\ ###################### FGP_TV ######################################### start_time = timeit.default_timer() -pars = {'algorithm' : TV_FGP_CPU , \ +pars = {'algorithm' : FGP_TV , \ 'input' : u0,\ 'regularization_parameter':0.07, \ 'number_of_iterations' :300 ,\ @@ -137,13 +135,13 @@ pars = {'algorithm' : TV_FGP_CPU , \ 'printingOut': 0 } -fgp = TV_FGP_CPU(pars['input'], +fgp = FGP_TV(pars['input'], pars['regularization_parameter'], pars['number_of_iterations'], pars['tolerance_constant'], pars['methodTV'], pars['nonneg'], - pars['printingOut']) + pars['printingOut'], 'cpu') rms = rmse(Im, fgp) pars['rmse'] = rms @@ -280,18 +278,17 @@ imgplot = plt.imshow(tgv, cmap="gray") start_time = timeit.default_timer() -pars = {'algorithm': TV_ROF_CPU , \ +pars = {'algorithm': ROF_TV , \ 'input' : u0,\ 'regularization_parameter':0.07,\ 'marching_step': 0.0025,\ 'number_of_iterations': 300 } -rof = TV_ROF_CPU(pars['input'], +rof = ROF_TV(pars['input'], pars['regularization_parameter'], pars['number_of_iterations'], - pars['marching_step'] - ) -#tgv = out + pars['marching_step'], 'cpu') + rms = rmse(Im, rof) pars['rmse'] = rms |