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| author | dkazanc <dkazanc@hotmail.com> | 2018-10-11 13:58:04 +0100 |
|---|---|---|
| committer | dkazanc <dkazanc@hotmail.com> | 2018-10-11 13:58:04 +0100 |
| commit | 6887ae5026e20fa8acad644f040fdab1a085e772 (patch) | |
| tree | a44be3e78745fbca0ecca1f67585c755f11836c3 /Wrappers/Python/demos | |
| parent | 56d876e94e67f0d774627378c0527ae7b390e13a (diff) | |
| download | regularization-6887ae5026e20fa8acad644f040fdab1a085e772.tar.gz regularization-6887ae5026e20fa8acad644f040fdab1a085e772.tar.bz2 regularization-6887ae5026e20fa8acad644f040fdab1a085e772.tar.xz regularization-6887ae5026e20fa8acad644f040fdab1a085e772.zip | |
fixes tests/demos and closes #43
Diffstat (limited to 'Wrappers/Python/demos')
| -rw-r--r-- | Wrappers/Python/demos/demo_cpu_regularisers.py | 2 | ||||
| -rw-r--r-- | Wrappers/Python/demos/demo_cpu_vs_gpu_regularisers.py | 8 |
2 files changed, 5 insertions, 5 deletions
diff --git a/Wrappers/Python/demos/demo_cpu_regularisers.py b/Wrappers/Python/demos/demo_cpu_regularisers.py index b94f11c..e99b271 100644 --- a/Wrappers/Python/demos/demo_cpu_regularisers.py +++ b/Wrappers/Python/demos/demo_cpu_regularisers.py @@ -36,7 +36,7 @@ filename = os.path.join(".." , ".." , ".." , "data" ,"lena_gray_512.tif") Im = plt.imread(filename) Im = np.asarray(Im, dtype='float32') -Im = Im/255 +Im = Im/255.0 perc = 0.05 u0 = Im + np.random.normal(loc = 0 , scale = perc * Im , diff --git a/Wrappers/Python/demos/demo_cpu_vs_gpu_regularisers.py b/Wrappers/Python/demos/demo_cpu_vs_gpu_regularisers.py index e45dc40..3d6e92f 100644 --- a/Wrappers/Python/demos/demo_cpu_vs_gpu_regularisers.py +++ b/Wrappers/Python/demos/demo_cpu_vs_gpu_regularisers.py @@ -66,8 +66,8 @@ imgplot = plt.imshow(u0,cmap="gray") pars = {'algorithm': ROF_TV, \ 'input' : u0,\ 'regularisation_parameter':0.04,\ - 'number_of_iterations': 1200,\ - 'time_marching_parameter': 0.0025 + 'number_of_iterations': 4500,\ + 'time_marching_parameter': 0.00002 } print ("#############ROF TV CPU####################") start_time = timeit.default_timer() @@ -406,8 +406,8 @@ pars = {'algorithm' : LLT_ROF, \ 'input' : u0,\ 'regularisation_parameterROF':0.04, \ 'regularisation_parameterLLT':0.01, \ - 'number_of_iterations' :500 ,\ - 'time_marching_parameter' :0.0025 ,\ + 'number_of_iterations' :4500 ,\ + 'time_marching_parameter' :0.00002 ,\ } print ("#############LLT- ROF CPU####################") |