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| author | Daniil Kazantsev <dkazanc@hotmail.com> | 2018-12-19 11:21:16 +0000 |
|---|---|---|
| committer | Daniil Kazantsev <dkazanc@hotmail.com> | 2018-12-19 11:21:16 +0000 |
| commit | 4af4096096af9f478e2a3d463b9dfcfc200454ff (patch) | |
| tree | b0cf6be59920bd5996d55e0422244b40f8592f8f /Wrappers/Python | |
| parent | 8d01593b6580881ff554824ba598720202b0eb7b (diff) | |
| download | regularization-4af4096096af9f478e2a3d463b9dfcfc200454ff.tar.gz regularization-4af4096096af9f478e2a3d463b9dfcfc200454ff.tar.bz2 regularization-4af4096096af9f478e2a3d463b9dfcfc200454ff.tar.xz regularization-4af4096096af9f478e2a3d463b9dfcfc200454ff.zip | |
fixes issues in tests
Diffstat (limited to 'Wrappers/Python')
| -rwxr-xr-x | Wrappers/Python/conda-recipe/run_test.py | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/Wrappers/Python/conda-recipe/run_test.py b/Wrappers/Python/conda-recipe/run_test.py index abc3e1b..cfb3f53 100755 --- a/Wrappers/Python/conda-recipe/run_test.py +++ b/Wrappers/Python/conda-recipe/run_test.py @@ -37,7 +37,7 @@ class TestRegularisers(unittest.TestCase): def test_ROF_TV_CPU_vs_GPU(self):
- print ("tomas debug test function")
+ #print ("tomas debug test function")
print(__name__)
filename = os.path.join("lena_gray_512.tif")
plt = TiffReader()
@@ -65,11 +65,11 @@ class TestRegularisers(unittest.TestCase): # set parameters
pars = {'algorithm': ROF_TV, \
- 'input' : u0,\
- 'regularisation_parameter':0.04,\
- 'number_of_iterations': 1000,\
- 'time_marching_parameter': 0.0001
- }
+ 'input' : u0,\
+ 'regularisation_parameter':0.04,\
+ 'number_of_iterations': 2500,\
+ 'time_marching_parameter': 0.00002
+ }
print ("#############ROF TV CPU####################")
start_time = timeit.default_timer()
rof_cpu = ROF_TV(pars['input'],
@@ -607,8 +607,8 @@ class TestRegularisers(unittest.TestCase): 'input' : u0,\
'refdata' : u_ref,\
'regularisation_parameter':0.04, \
- 'number_of_iterations' :2000 ,\
- 'tolerance_constant':1e-06,\
+ 'number_of_iterations' :1000 ,\
+ 'tolerance_constant':1e-07,\
'eta_const':0.2,\
'methodTV': 0 ,\
'nonneg': 0 ,\
|