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| author | algol <dkazanc@hotmail.com> | 2018-04-12 11:56:54 +0100 |
|---|---|---|
| committer | algol <dkazanc@hotmail.com> | 2018-04-12 11:56:54 +0100 |
| commit | 22f6e22cbe6db04c6bbe8d259ce761e3748d7102 (patch) | |
| tree | 225dcf0db9dc7e0f0fc5fc001a7efb14c19658f8 /Wrappers/Python/conda-recipe | |
| parent | 58f5ce047b063d53906e38047b6ae744ccdbd4eb (diff) | |
| download | regularization-22f6e22cbe6db04c6bbe8d259ce761e3748d7102.tar.gz regularization-22f6e22cbe6db04c6bbe8d259ce761e3748d7102.tar.bz2 regularization-22f6e22cbe6db04c6bbe8d259ce761e3748d7102.tar.xz regularization-22f6e22cbe6db04c6bbe8d259ce761e3748d7102.zip | |
dTV some bugs in cython
Diffstat (limited to 'Wrappers/Python/conda-recipe')
| -rw-r--r-- | Wrappers/Python/conda-recipe/run_test.py.in (renamed from Wrappers/Python/conda-recipe/run_test.py) | 17 | ||||
| -rw-r--r-- | Wrappers/Python/conda-recipe/testLena.npy | bin | 0 -> 1048656 bytes |
2 files changed, 8 insertions, 9 deletions
diff --git a/Wrappers/Python/conda-recipe/run_test.py b/Wrappers/Python/conda-recipe/run_test.py.in index 04bbd40..9a6f4de 100644 --- a/Wrappers/Python/conda-recipe/run_test.py +++ b/Wrappers/Python/conda-recipe/run_test.py.in @@ -1,8 +1,6 @@ import unittest import numpy as np -import os from ccpi.filters.regularisers import ROF_TV, FGP_TV -import matplotlib.pyplot as plt def rmse(im1, im2): rmse = np.sqrt(np.sum((im1 - im2) ** 2) / float(im1.size)) @@ -14,13 +12,16 @@ class TestRegularisers(unittest.TestCase): pass def test_cpu_regularisers(self): - filename = os.path.join(".." , ".." , ".." , "data" ,"lena_gray_512.tif") + #filename = os.path.join(".." , ".." , ".." , "data" ,"testLena.npy") + Im = np.load('testLena.npy'); + """ # read noiseless image Im = plt.imread(filename) Im = np.asarray(Im, dtype='float32') Im = Im/255 + """ tolerance = 1e-05 rms_rof_exp = 0.006812507 #expected value for ROF model rms_fgp_exp = 0.019152347 #expected value for FGP model @@ -80,13 +81,11 @@ class TestRegularisers(unittest.TestCase): """ self.assertTrue(res) def test_gpu_regularisers(self): - filename = os.path.join(".." , ".." , ".." , "data" ,"lena_gray_512.tif") + #filename = os.path.join(".." , ".." , ".." , "data" ,"testLena.npy") - # read noiseless image - Im = plt.imread(filename) - Im = np.asarray(Im, dtype='float32') + Im = np.load('testLena.npy'); - Im = Im/255 + #Im = Im/255 tolerance = 1e-05 rms_rof_exp = 0.006812507 #expected value for ROF model rms_fgp_exp = 0.019152347 #expected value for FGP model @@ -146,4 +145,4 @@ class TestRegularisers(unittest.TestCase): """ self.assertTrue(res) if __name__ == '__main__': - unittest.main()
\ No newline at end of file + unittest.main() diff --git a/Wrappers/Python/conda-recipe/testLena.npy b/Wrappers/Python/conda-recipe/testLena.npy Binary files differnew file mode 100644 index 0000000..14bc0e3 --- /dev/null +++ b/Wrappers/Python/conda-recipe/testLena.npy |