diff options
Diffstat (limited to 'examples/da/plot_otda_mapping_colors_images.py')
| -rw-r--r-- | examples/da/plot_otda_mapping_colors_images.py | 9 |
1 files changed, 6 insertions, 3 deletions
diff --git a/examples/da/plot_otda_mapping_colors_images.py b/examples/da/plot_otda_mapping_colors_images.py index 6c024ea..a628b05 100644 --- a/examples/da/plot_otda_mapping_colors_images.py +++ b/examples/da/plot_otda_mapping_colors_images.py @@ -23,7 +23,7 @@ from scipy import ndimage import matplotlib.pylab as pl import ot -np.random.seed(42) +r = np.random.RandomState(42) def im2mat(I): @@ -54,8 +54,8 @@ X2 = im2mat(I2) # training samples nb = 1000 -idx1 = np.random.randint(X1.shape[0], size=(nb,)) -idx2 = np.random.randint(X2.shape[0], size=(nb,)) +idx1 = r.randint(X1.shape[0], size=(nb,)) +idx2 = r.randint(X2.shape[0], size=(nb,)) Xs = X1[idx1, :] Xt = X2[idx2, :] @@ -91,6 +91,7 @@ ot_mapping_gaussian.fit(Xs=Xs, Xt=Xt) X1tn = ot_mapping_gaussian.transform(Xs=X1) # use the estimated mapping Image_mapping_gaussian = minmax(mat2im(X1tn, I1.shape)) + ############################################################################## # plot original images ############################################################################## @@ -107,6 +108,7 @@ pl.axis('off') pl.title('Image 2') pl.tight_layout() + ############################################################################## # plot pixel values distribution ############################################################################## @@ -128,6 +130,7 @@ pl.ylabel('Blue') pl.title('Image 2') pl.tight_layout() + ############################################################################## # plot transformed images ############################################################################## |